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    <front>
        <journal-meta>
            <journal-id journal-id-type="issn">1744-6716</journal-id>
            <journal-title-group>
                <journal-title>Westminster Papers in Communication and Culture</journal-title>
            </journal-title-group>
            <issn pub-type="epub">1744-6716</issn>a
            <publisher>
                <publisher-name>University of Westminster Press</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.16997/wpcc.344</article-id>
            <article-categories>
                <subj-group>
                    <subject>Research article</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Understanding Authenticity in Digital Cause-Related Advertising: Does
                    Cause Involvement Moderate Intention to Purchase?</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Ndasi</surname>
                        <given-names>Wilson</given-names>
                    </name>
                    <email>ndasiwil@gmail.com</email>
                    <xref ref-type="aff" rid="aff-1">1</xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Akcay</surname>
                        <given-names>Ediz Edip</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-2">2</xref>
                </contrib>
            </contrib-group>
            <aff id="aff-1"><label>1</label>Oxford Brookes University, GB</aff>
            <aff id="aff-2"><label>2</label>Bournemouth University, GB</aff>
            <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2020-07-31">
                <day>31</day>
                <month>07</month>
                <year>2020</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2020</year>
            </pub-date>
            <volume>15</volume>
            <issue>1</issue>
            <fpage>103</fpage>
            <lpage>122</lpage>
            <history>
                <date date-type="received" iso-8601-date="2020-02-01">
                    <day>01</day>
                    <month>02</month>
                    <year>2020</year>
                </date>
                <date date-type="accepted" iso-8601-date="2020-06-10">
                    <day>10</day>
                    <month>06</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00A9; 2020 The Author(s)</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license license-type="open-access"
                    xlink:href="http://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open-access article distributed under the terms of the
                        Creative Commons Attribution 4.0 International License (CC-BY 4.0), which
                        permits unrestricted use, distribution, and reproduction in any medium,
                        provided the original author and source are credited. See <uri
                            xlink:href="http://creativecommons.org/licenses/by/4.0/"
                            >http://creativecommons.org/licenses/by/4.0/</uri>.</license-p>
                </license>
            </permissions>
            <self-uri xlink:href="http://www.westminsterpapers.org/articles/10.16997/wpcc.344/"/>
            <abstract>
                <p>The paper provides a survey understanding of two dimensions of perceived
                    authenticity in digital cause-related marketing (CRM) display advertising and
                    models the impact on consumers&#8217; responses. It develops a model with a set
                    of six hypotheses and tests them through a multivariate structural equation
                    technique on quantitative data generated by a survey procedure on a UK-based
                    consumer panel. The 465 online panel participants consisted of 60% males and 40%
                    females between the ages of 18 and 35.</p>
                <p>The findings provide empirical evidence that the perceived donation amount and
                    ad-context congruence are intertwined perspectives of authenticity in digital
                    CRM display ads, and show that both of these dimensions provide input to
                    conferring authenticity on the ads. However, the perceived donation amount
                    accounts for a stronger effect than ad-context congruence. The paper finds
                    firms&#8217; altruistic motives an influential antecedent to the mediating role
                    of attitudes towards the ad (AaD) as a fundraising tool. This is due to the
                    nature of the impact of authenticity on the link with intention to purchase.
                    Contrarily to expectation, the level of firms&#8217; involvement with a social
                    cause does not moderate intention to purchase from the consumers&#8217;
                    standpoint.</p>
                <p>The paper provides an interpretation of authentic perception in digital CRM
                    advertising and proposes a composite model of the mechanism of this effect on
                    consumers&#8217; response.</p>
                <p>In DCRM advertising, increasing the perception of donation magnitude is a key
                    driver to advertising success, and the level of association with a social cause
                    is not a significant factor in segmenting and targeting consumers.</p>
            </abstract>
            <kwd-group>
                <kwd>digital cause-related advertising</kwd>
                <kwd>banner ad</kwd>
                <kwd>ad authenticity</kwd>
                <kwd>cause-involvement</kwd>
                <kwd>donation amount</kwd>
                <kwd>social cause</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec>
            <title>Background</title>
            <p>The last few decades have seen the rapid integration of the internet into our daily
                lives, and at the same time, consumers have had to confront increasing
                commercialisation, which has been characterised as an excessive amount of bogus,
                iniquitous and often worthless advertising offers. To overcome this worthlessness,
                consumers are keen to find cues in advertising that provide real, honest and genuine
                offers to meet their expectations. Marketers increasingly use digital cause-related
                marketing (CRM) approaches that deliver digital ads with a promise to support a
                social cause contingent on the consumer performing a desired action, such as
                click-through purchases, &#8216;liking&#8217; of a page, watching a video, sharing a
                post, taking a survey or even playing an online game. These cause-related
                advertising tactics have the potential to create brand awareness, promote a social
                cause and inspire consumers to demonstrate support for causes they care about (<xref
                    ref-type="bibr" rid="B69">Varadarajan and Menon, 1988</xref>; <xref
                    ref-type="bibr" rid="B45">Kotler et al., 2012</xref>; <xref ref-type="bibr"
                    rid="B22">EngageforGood, 2018</xref>; <xref ref-type="bibr" rid="B11">Bergkvist
                    and Zhou, 2019</xref>).</p>
            <p>With the increasing convergence of price and quality on the internet, the deployment
                of cause-related advertising can attract enlightened consumers who are looking
                beyond consumption to participate in addressing social issues through their
                purchasing behaviour. However, research on the effectiveness of such advertising is
                limited and has mostly been described as a tool of online fundraising (<xref
                    ref-type="bibr" rid="B29">Grobman, 2000</xref>; <xref ref-type="bibr" rid="B34"
                    >Harrison-Walker and Williamson, 2000</xref>; <xref ref-type="bibr" rid="B41"
                    >Husted and Whitehouse Jr, 2002</xref>; <xref ref-type="bibr" rid="B38">Hoefer,
                    2012</xref>). It is therefore essential to understand how consumers evaluate and
                respond to digital CRM ads, especially since digital advertising has become
                ubiquitous, intrusive and highly competitive. Prior research has indicated that
                authenticity is crucial to all advertising and marketing success (<xref
                    ref-type="bibr" rid="B12">Beverland and Farrelly, 2010</xref>; <xref
                    ref-type="bibr" rid="B33">Hallem et al., 2019</xref>; <xref ref-type="bibr"
                    rid="B9">Becker et al., 2019</xref>), yet there is no common understanding of
                what authenticity entails (<xref ref-type="bibr" rid="B28">Grayson and Martinec,
                    2004</xref>). Hence, understanding the authenticity evaluation of digital CRM
                advertising can provide the basis for its appeal to digital consumers. The primary
                purpose of this paper was to determine what authenticity is in the context of
                digital CRM advertising. This paper addresses this purpose by establishing two
                objectives.</p>
            <p>First, given that claims of authenticity are often schemed and designed by marketers
                with no collective meaning of what the term means (<xref ref-type="bibr" rid="B5"
                    >Arnould and Price, 2000</xref>; <xref ref-type="bibr" rid="B28">Grayson and
                    Martinec, 2004</xref>), literature regarding CRM and display advertising was
                reviewed to identify salient dimensions of authenticity cues applicable to digital
                CRM advertising. The impact of perceived ad authenticity (PAA) on consumers&#8217;
                intention to purchase (IP) digital CRM advertising products was also empirically
                examined. Second, the paper aims to gain a deeper understanding of the PAA&#8211;IP
                link. For this a more detailed examination is necessary, and from a practical
                perspective, marketers need guidance on the intervening and influencing conditions
                under which the ad can have a positive impact on IP.</p>
            <p>The following section evaluates the relevant literature and develops hypotheses to
                address these objectives.</p>
        </sec>
        <sec>
            <title>Literature review and hypotheses development</title>
            <sec>
                <title>The concept of advertising authenticity</title>
                <p>Authenticity has become one of the common words used in modern advertising, with
                    both marketers and ad agencies convinced that execution of an authentic ad is
                    key to effective advertising and brand success (<xref ref-type="bibr" rid="B55"
                        >Morhart et al., 2015</xref>; <xref ref-type="bibr" rid="B33">Hallem et al.,
                        2019</xref>). Specifically, prior research has suggested that authenticity
                    provides a competitive edge in crowded marketplaces (<xref ref-type="bibr"
                        rid="B33">Hallem et al., 2019</xref>), stimulates brand trust (<xref
                        ref-type="bibr" rid="B2">Anderberg and Morris, 2006</xref>), helps and
                    moderates emotional attachment to a brand (<xref ref-type="bibr" rid="B33"
                        >Hallem et al., 2019</xref>), is key to the success of cause-related
                    marketing partnerships (<xref ref-type="bibr" rid="B45">Kotler et al.,
                        2012</xref>) and helps consumers find genuineness, truth and virtue within
                    their mix of consumption goals (<xref ref-type="bibr" rid="B52">Michael and
                        Beverland, 2010</xref>). Authentic advertising can help create personal
                    brand resonance and helps overcome consumer scepticism about advertising. While
                    researchers report these effects of authenticity, there is no clear definition
                    of what constitutes authenticity in an advertising campaign, thus highlighting
                    the multidimensional notion of authenticity (<xref ref-type="bibr" rid="B48"
                        >Leigh et al., 2006</xref>). For example, in advertising literature,
                    authenticity has been linked to a spokesperson&#8217;s trustworthiness (<xref
                        ref-type="bibr" rid="B66">Stern, 1994</xref>). Some link it to a realistic
                    plot (<xref ref-type="bibr" rid="B20">Deighton, Romer and MacQueen, 1989</xref>)
                    and still others link it to an ad&#8217;s accurate representation of the brand
                        (<xref ref-type="bibr" rid="B13">Beverland, Lindgreen and Vink,
                    2008</xref>). In other words, there are several dimensions to advertising
                    authenticity that are relatable to physical attributes or the brand essence as
                    evaluated by consumers using their lenses of personal experience (<xref
                        ref-type="bibr" rid="B28">Grayson and Martinec, 2004</xref>). Additionally,
                    authenticity cues may be more prominent in one context and setting than another,
                    and understanding what makes up authenticity in digital CRM ads should be key to
                    understanding the effectiveness of the advertising tactic.</p>
            </sec>
            <sec>
                <title>Perceived authenticity of digital cause-related ads</title>
                <p>In the following paragraphs and sections, two dimensions and antecedents of
                    authenticity are conceptualised in the context of digital CRM advertising, these
                    being the perceived donation amount and the ad-context congruence, as depicted
                    in Figure <xref ref-type="fig" rid="F1">1</xref>. These variables were evaluated
                    based on an arduous literature review of these concepts within traditional CRM
                    and display advertising literature. This approach is sound, given the potential
                    impact of the combined effects of donation magnitude and ad congruence in
                    digital CRM display advertising that could exhibit effects found in traditional
                    CRM, which has only seen limited and dated survey investigation in the context
                    of digital advertising (e.g. <xref ref-type="bibr" rid="B29">Grobman,
                        2000</xref>; <xref ref-type="bibr" rid="B73">Yue and Chaturvedi,
                    2000</xref>; <xref ref-type="bibr" rid="B38">Hoefer, 2012</xref>).
                    Notwithstanding, digital CRM advertising is widespread, as depicted in Appendix
                    1, and should benefit from guidance in academic research.</p>
                <fig id="F1">
                    <label>Figure 1</label>
                    <caption>
                        <p>Research Framework, Digital CRM Ad Authenticity and Moderating Effect
                            Cause-Involvement.</p>
                    </caption>
                    <graphic xmlns:xlink="http://www.w3.org/1999/xlink"
                        xlink:href="/article/id/294/file/9867/"/>
                </fig>
            </sec>
            <sec>
                <title>Perceived donation amount in defining ad authenticity</title>
                <p>Examples of digital CRM advertising, such as Laithwaite&#8217;s offer to donate
                    3% of sales from cases of wine to the National Trust, and Arena Flowers&#8217;
                    offer to donate 25% of the selling price of flowers to Cancer Research on their
                    websites, indicate that donation amounts can vary widely, ranging from very
                    small amounts up to 50% of the product price. In this transaction-based approach
                    to CRM, the consumer implicitly triggers a donation to charity when making the
                    purchase. The results of this paper indicate that donation magnitude is a
                    primary cue of authenticity in digital CRM ads because it can demonstrate the
                    degree of honesty, fairness and legitimacy to base an authenticity claim in the
                    design of the advertising. In fact, the donation amount in digital CRM ads and
                    traditional CRM promotions is a primary campaign design element because
                    marketers are faced with the decision of how to counterbalance reduced profits
                    with support of a social cause. Although the impact of the amount on a social
                    cause in digital advertising has not been a subject of discussion in the
                    literature, it is sound thinking to draw from CRM literature to suggest that a
                    higher amount would generate a more favourable authenticity assessment, a
                    &#8216;warm glow&#8217; feeling (<xref ref-type="bibr" rid="B4">Andreoni,
                        1989</xref>) and a more positive feeling toward the advertisement (<xref
                        ref-type="bibr" rid="B60">Pracejus and Olsen, 2004</xref>; <xref
                        ref-type="bibr" rid="B6">Arora and Henderson, 2007</xref>; <xref
                        ref-type="bibr" rid="B16">Chang, 2008</xref>; <xref ref-type="bibr"
                        rid="B57">Muller et al., 2014</xref>). The essence of a non-profit
                    organisation (NPO) collaboration with a brand promotion is contingent on the
                    potential financial benefit to the social cause.</p>
                <p>When consumers make purchases linked to supporting a charity or cause, they may
                    first focus on themselves because the utility that they gain (e.g. moral
                    satisfaction) determines how they respond to the advertising. The utility of
                    shopping with a social cause in mind is determined by both the cost of the
                    shopping and the moral satisfaction of contributing to a good cause (<xref
                        ref-type="bibr" rid="B44">Koschate-Fischer et al., 2012</xref>). As such, an
                    individual&#8217;s favourable authenticity perception of a sales offer would
                    create the feeling of moral satisfaction, or &#8216;warm glow&#8217;, which
                    should increase with higher donation levels from the consumer&#8217;s standpoint
                        (<xref ref-type="bibr" rid="B4">Andreoni, 1989</xref>; <xref ref-type="bibr"
                        rid="B44">Koschate-Fischer et al., 2012</xref>). By contrast, when the
                    donation amount is small compared to the price of the product, consumers who are
                    information adept may consider the contribution insufficient, inducing
                    scepticism toward supporting an NPO in this way. Therefore, their interest in
                    purchasing to benefit an NPO cause may be significantly weakened and thus
                    translate to an insignificant purchase intention.</p>
                <p>Since the donation amount is part of a digital CRM ad&#8217;s executional or
                    content cues, this implies that an authentic ad is one that is altruistic,
                    genuine and fair with regard to the donation dimensions of the ad. In sum, the
                    donation as an authenticity cue helps consumers identify the altruism, honesty
                    and trustworthiness in digital CRM advertising.</p>
            </sec>
            <sec>
                <title>Ad-website congruence in defining ad authenticity</title>
                <p>The concept of congruence, or congruity, which means to &#8216;fit&#8217;,
                    &#8216;ink&#8217;, or &#8216;match-up&#8217; has been used to examine the
                    relatedness between a brand and another entity. The underlying concept of
                    congruence remains the same regardless of the terminological variants (<xref
                        ref-type="bibr" rid="B47">Lee et al., 2017</xref>). In cause-related
                    advertising, the congruence between a brand and social cause strengthens
                    consumers&#8217; attribution of corporate altruism and credibility (<xref
                        ref-type="bibr" rid="B62">Rifon et al., 2004</xref>), and product purchase
                    intention (<xref ref-type="bibr" rid="B10">Becker-Olsen et al., 2006</xref>;
                        <xref ref-type="bibr" rid="B46">Lafferty et al., 2007</xref>; <xref
                        ref-type="bibr" rid="B14">Bign&#233;-Alca&#241;iz et al., 2012</xref>).
                    Digital advertising research corroborates these findings by showing that
                    thematic congruence between an ad and the site content renders a product more
                    appealing (<xref ref-type="bibr" rid="B23">Flores et al., 2014</xref>),
                    generates more click-through (<xref ref-type="bibr" rid="B17">Cho, 2003</xref>),
                    increases customer awareness and generates better attention and recall compared
                    to an incongruent ad (<xref ref-type="bibr" rid="B61">Rieger et al.,
                    2015</xref>; <xref ref-type="bibr" rid="B75">Zanjani et al., 2011</xref>). An
                    ad&#8217;s context congruence also elicits favourable responses in terms of
                    attitudes toward the ad (<xref ref-type="bibr" rid="B18">Choi and Rifon,
                        2002</xref>) and purchase intention (<xref ref-type="bibr" rid="B43">Jeong
                        and King, 2010</xref>; <xref ref-type="bibr" rid="B65">Segev et al.,
                        2014</xref>). Moreover, a much more recent investigation also revealed that
                    congruence with the brand&#8217;s essence has a positive effect on purchases
                        (<xref ref-type="bibr" rid="B9">Becker et al., 2019</xref>). Taken together,
                    these findings suggest that authenticity is a projection of consumers&#8217;
                    beliefs, expectations and perspectives constructed from cues in the advertising,
                    of which the perceived donation magnitude and ad-context congruence are critical
                    elements in attributing authenticity and subsequent behaviours. This paper
                    outlines a number of resulting hypotheses with the first stated as:</p>
                <disp-quote>
                    <p>H<sub>1</sub>: Perceived authenticity of the ad has a direct impact on
                        consumers&#8217; intention to purchase.</p>
                </disp-quote>
                <p>Further to the above discussion on the role of donation magnitude and ad-context
                    congruence of the ad in creating the perception of advertising authenticity, it
                    is essential to understand the relative impact of the two dimensions.
                    Intuitively, the underlying strategy of the ad is to elicit and support
                    consumers&#8217; prosocial instincts when they are shopping. The non-profit
                    partners of a firm have an expectation of a financial contribution more than
                    anything else. The reputational risks for the social cause and the firm can be
                    accounted for by the expected financial benefits from the advertising. Hence,
                    this paper proposes that the magnitude of the donation offered to the social
                    cause in designing the ad properties would constitute a more compelling feature
                    than the perceived congruence of the ad context. Accordingly, the paper formally
                    states that:</p>
                <disp-quote>
                    <p>H<sub>2</sub>: The impact of the perceived donation amount on the intention
                        to purchase relative to the perceived ad-context congruence will be
                        stronger.</p>
                </disp-quote>
            </sec>
            <sec>
                <title>The perceived altruistic attribution and attitudes towards the
                    advertising</title>
                <p>Consumers form beliefs concerning a brand&#8217;s causal attribution or reasons
                    for embedding social responsibility in advertising. Specifically, these
                    attributions are related to the perceived sincerity or authenticity of the
                    social responsibility actions (<xref ref-type="bibr" rid="B37">Hildebrand et
                        al., 2011</xref>). Social responsibility initiatives should be recognised as
                    authentic to garner consumer support, and social responsibility programmes are
                    perceived as authentic when they align with the brand&#8217;s identity (<xref
                        ref-type="bibr" rid="B51">McShane and Cunningham, 2012</xref>). Research has
                    revealed that when there is dissonance between the brand&#8217;s rhetoric and
                    practice, it can substantially hurt the brand&#8217;s image (<xref
                        ref-type="bibr" rid="B68">Tsai, 2009</xref>) by creating negative
                    perceptions about the brand (<xref ref-type="bibr" rid="B37">Hildebrand et al.,
                        2011</xref>).</p>
                <p>There are four components of altruistic motives within consumer responses to
                    advertising: value-driven motives, strategic-driven motives, selfish motives and
                    stakeholder-driven motives (<xref ref-type="bibr" rid="B21">Ellen, Webb and Mohr
                        2006</xref>; <xref ref-type="bibr" rid="B30">Groza et al., 2011</xref>; Lee
                    et al., 2009). Although attributional altruistic motives have not been the
                    subject of many studies in extended models as in the current paper, two
                    theoretical frameworks have been applied to develop an understanding of the
                    effects of attributed altruistic motives on consumer responses to digital CRM
                    advertising. Firstly, by applying studies by Ajzen and Fishbein (<xref
                        ref-type="bibr" rid="B1">1970</xref>) and Bagozzi (<xref ref-type="bibr"
                        rid="B7">1981</xref>), which employed a commonly used attitudinal framework
                    of cognition (beliefs) and donation (action) intention, the context suggests
                    that all the components of the attributional altruistic motive, except for
                    stakeholder-driven motivation, can positively impact attitudes and purchase
                    intention. Secondly, the paper draws from from Bergkvist and Taylor&#8217;s
                    model of Leveraged Marketing Communications (LMC) that suggests a dual-path
                    model of CRM persuasion effects. According to the model, CRM affects brand
                    evaluations along an indirect transfer path, which is mediated by the
                    attribution of motives and followed by a direct transfer path in which attitude
                    towards the cause is transferred to the brand (Bergkvist and Zhou, 2018). The
                    paper suggests that these frameworks can accurately clarify the effect of
                    altruistic attributed motives and attitudes towards the ad in the context of the
                    impact of perceived digital CRM ad authenticity. Hence, the paper proposes
                    that:</p>
                <disp-quote>
                    <p>H<sub>3</sub>: Consumers&#8217; altruistic attribution mediates the effect of
                        perceived ad authenticity on their intention to purchase.</p>
                    <p>H<sub>4</sub>: Consumers&#8217; altruistic attribution influences attitudes
                        towards the ad as a fundraising tool that affects their intention to
                        purchase.</p>
                    <p>H<sub>5</sub>: Consumers&#8217; attitudes towards the ad as a fundraising
                        tool mediates the effect of perceived ad authenticity on their intention to
                        purchase.</p>
                </disp-quote>
            </sec>
            <sec>
                <title>Influence of cause-involvement</title>
                <p>The involvement factor has featured in several models investigating consumer
                    behaviour in CRM (e.g., <xref ref-type="bibr" rid="B42">Hyllegard et al.,
                        2011</xref>; <xref ref-type="bibr" rid="B32">Hajjat, 2013</xref>) and
                    display advertising (e.g., <xref ref-type="bibr" rid="B40">Huang et al.,
                        2010</xref>; <xref ref-type="bibr" rid="B75">Zanjani et al., 2011</xref>;
                        <xref ref-type="bibr" rid="B65">Segev et al., 2014</xref>). These studies
                    highlight that involvement plays a crucial role in moderating and explaining
                    variable relationships. Hence, understanding how involvement might moderate the
                    impact of perceived authenticity in CRM advertising will be essential to the
                    development of more in-depth knowledge regarding how individual differences can
                    impact the effectiveness of the ad. This paper evaluates involvement regarding
                    how attention is paid to advertising with a social cause, which is indicative of
                    a personal and enduring state of mind about a social cause. Involvement
                    signifies personal values, needs, importance and interest, which modifies
                    one&#8217;s experiences and impacts one&#8217;s involvement with the object
                        (<xref ref-type="bibr" rid="B74">Zaichkowsky, 1986</xref>). Unlike other
                    functional aspects of an advertisement, such as ad size and interactivity, the
                    social cause associated with an ad can be deeply personal to a broad segment of
                    the consumers. As such, the affective response toward an advertisement with an
                    indication to support a social cause is likely to be amplified. Against this
                    background, cause-involvement is expected to interplay with the perceived
                    authenticity of the advertising to influence consumer responses. That is, the
                    higher the relevance of the social cause, the stronger the scrutiny of the
                    credibility and believability of the advertising. Also, a weak involvement with
                    a social cause may not elicit an individual assessment of the brand&#8217;s
                    motive. Accordingly, the paper hypothesises that:</p>
                <disp-quote>
                    <p>H<sub>6</sub>: There will be a positive interaction of INVOL with PAA such
                        that the greater the INVOL, the stronger will be the impact of the PAA on
                        IP.</p>
                </disp-quote>
            </sec>
        </sec>
        <sec>
            <title>Study design, participants and procedure</title>
            <p>Critical considerations in designing the study stimuli included the selection of
                different product categories that participants would typically buy online, low and
                high donation amounts offered by the ad and a charity website that would present the
                desired variability of the PAA variable. A low donation amount was set at 1%, and a
                high donation amount was set at 10%. For the products, plane tickets and toys were
                selected as products commonly purchased online. Hence, British Airways plane tickets
                and Argos 5-10-year-olds&#8217; toys were selected. The paper also selected Save the
                Children as the charity beneficiary of the CRM donation. The firms and the NPO are
                well known in this field of study, and they are regularly involved in CRM campaigns.
                Moreover, the use of reputable firms and an NPO was included to reduce or eliminate
                prior negative perceptions and de-legitimising advertising with CRM (<xref
                    ref-type="bibr" rid="B19">Dean, 2003</xref>; <xref ref-type="bibr" rid="B67"
                    >Strahilevitz, 1999</xref>; <xref ref-type="bibr" rid="B14"
                    >Bign&#233;-Alca&#241;iz et al., 2012</xref>).</p>
            <p>The study utilised a UK web-based consumer survey panel of 465 members, comprising
                60% males and 40% females between the ages of 18 and 35. A standard market research
                agency provided the study participants, and participants were selected based on
                their experience with online shopping for plane tickets and toys from a variety of
                websites. Proprietary databases held by market research agencies are increasingly
                used in academic research because of their ability to provide high-quality responses
                quickly based on pre-determined selection criteria. Moreover, the web-based survey
                panel provided ecological validity of the study and had other advantages over
                traditional data collection methods, including low cost, time efficiency and
                avoidance of interviewer bias. The panel participants received an email invitation
                to the survey and were automatically entered into a points accumulation system that
                allows points earned in survey participation to be converted into shopping vouchers.
                In addition, participants could access the survey only once, and responses could be
                submitted only on completion of the survey. In effect, participants were presented
                with two samples of Save the Children&#8217;s website with a CRM banner ad
                advertising British Airways flight tickets, and a similar website site advertising
                Argos toys for children between the ages of 5 and 10 years old (Appendix 1). When
                the ads were presented to them, participants were asked several questions about the
                study constructs. The questions assessed the perception of a 1% and 10% donation
                offer of the price of the products, representing low and high donations in line with
                similar studies in traditional CRM context (<xref ref-type="bibr" rid="B36"
                    >Henderson, 2007</xref>; <xref ref-type="bibr" rid="B16">Chang, 2008</xref>;
                    <xref ref-type="bibr" rid="B57">Muller et al., 2014</xref>). Questions also
                measured the attributed altruistic motive of the firm&#8217;s attitude towards the
                CRM ad as a fundraising tool, intention to respond to the ad and consumers&#8217;
                involvement with the Save the Children cause. Using two different products, two
                different brands and two levels of donation in the form of a percentage of the price
                of the products ensures that there is variability in the perception of the
                ad-context congruence and donation amount that constitutes our proposed dimensions
                of ad authenticity. Moreover, the design would enable the results to be more
                generalisable in the broader context of digital CRM advertising.</p>
            <p>A single variable that measured perceived ad authenticity (PAA) was computed by
                summing the ad-context congruence and perceived donation amount subscales, as
                conceptualised in this paper. Ad-context congruence was measured by adapting three
                items with bipolar adjectives from the scale proposed by Rifon et al. (<xref
                    ref-type="bibr" rid="B62">2004</xref>). The perceived donation amount was
                measured on a three-item scale based on the approach described by Koschate-Fischer
                et al. (<xref ref-type="bibr" rid="B44">2012</xref>). Altruistic attributions were
                measured on a three-item bipolar scale following Ellen, Webb and Mohr (<xref
                    ref-type="bibr" rid="B21">2006</xref>). Attitudes towards the ad were measured
                by adapting a four-point scale employed by MacKenzie et al. (<xref ref-type="bibr"
                    rid="B49">1986</xref>), and the intention to purchase was measured by adapting a
                three-item bipolar scale (<xref ref-type="bibr" rid="B71">Yi, 1990</xref>). Finally,
                INVOL was measured on a three-item scale presented by Grau and Folse (2007). All the
                scaled items were measured on a seven-point semantic differential point scale.
                Appendix 2 presents the items on the scales used.</p>
        </sec>
        <sec>
            <title>Data analysis</title>
            <sec>
                <title>Assessment of the model measurement instruments&#8217; psychometric
                    properties</title>
                <p>To test the validity and reliability of each factor, our proposed model included
                    a three-step data analysis approach: (1) data preparation; (2) exploratory
                    factor analysis (EFA); (3) reliability test. Confirmatory factor analysis (CFA)
                    was conducted using SPSS 26 and AMOS 26 statistical packages.</p>
                <p>First, in preparing the data for analysis, it was necessary to excluded seven
                    cases (&lt;5%) from the data following data cleaning rules, as they exhibited
                    evidence of unengaged responses. Since the factors are ordinal with seven
                    intervals, extreme value outliers were not present. In addition, the factors
                    were based on Likert-type scales, and there was no reason to exclude variables
                    based on skewness (<xref ref-type="bibr" rid="B26">Gaskin, 2019</xref>). Thus,
                    rather than testing skewness, the focus was on kurtosis (which was within
                    +/&#8211; 1.00). Linearity was tested by performing curve estimation regression
                    with SPSS for all direct effects in the proposed model, which showed that the
                    relationships between variables were sufficiently linear (i.e., all p-values
                    were less than 0.05). In addition, the results of the homoscedasticity test
                    (scatter plot of zPred on zResid) indicated that the proposed mediators were
                    sufficiently homoscedastic. The variable inflation factors (VIFs) test for all
                    the exogenous variables showed they all had a value of less than 2.0, meaning
                    they were distinct from each other (<xref ref-type="bibr" rid="B26">Gaskin,
                        2019</xref>).</p>
                <p>Second, to estimate the model, a factor analysis (EFA) was conducted using
                    principal components with Promax rotation and factor loading of &#8805;0.30 to
                    test whether the observed variables loaded together as expected, were adequately
                    correlated and met reliability and validity criteria (Table <xref
                        ref-type="table" rid="T1">1</xref>).</p>
                <table-wrap id="T1">
                    <label>Table 1</label>
                    <caption>
                        <p>Exploratory Factors Analysis.</p>
                    </caption>
                    <table>
                        <tr>
                            <th align="left" valign="top">Factors</th>
                            <th align="left" valign="top">Items</th>
                            <th align="center" valign="top">Loadings</th>
                            <th align="center" valign="top">Loading Average</th>
                        </tr>
                        <tr>
                            <td colspan="4">
                                <hr/>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top" colspan="3">KMO = 0.801 Chi-Square =
                                648.267 p = 0.001;Eigenvalues = 1.1 Variance Explained (%) = 48</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Attitudes towards the Ad</td>
                            <td align="left" valign="top">ATT3</td>
                            <td align="right" valign="top">.987</td>
                            <td align="right" valign="top">0.883</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">ATT2</td>
                            <td align="right" valign="top">.926</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">ATT4</td>
                            <td align="right" valign="top">.905</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">ATT1</td>
                            <td align="right" valign="top">.714</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Intention to Purchase</td>
                            <td align="left" valign="top">PI2</td>
                            <td align="right" valign="top">0.933</td>
                            <td align="right" valign="top">0.917</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">PI3</td>
                            <td align="right" valign="top">0.912</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">PI1</td>
                            <td align="right" valign="top">0.905</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Altruistic Motive</td>
                            <td align="left" valign="top">MOTV2</td>
                            <td align="right" valign="top">0.952</td>
                            <td align="right" valign="top">0.937</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">MOTV3</td>
                            <td align="right" valign="top">0.936</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">MOTV1</td>
                            <td align="right" valign="top">0.924</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Cause Involvement</td>
                            <td align="left" valign="top">INV2</td>
                            <td align="right" valign="top">0.921</td>
                            <td align="right" valign="top">0.904</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">INV3</td>
                            <td align="right" valign="top">0.916</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">INV1</td>
                            <td align="right" valign="top">0.874</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Ad-context Congruence</td>
                            <td align="left" valign="top">CONGR2</td>
                            <td align="right" valign="top">0.909</td>
                            <td align="right" valign="top">0.866</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">CONGR1</td>
                            <td align="right" valign="top">0.88</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">CONGR3</td>
                            <td align="right" valign="top">0.808</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Perceived Donation Amount</td>
                            <td align="left" valign="top">PDA3</td>
                            <td align="right" valign="top">Unmeasured</td>
                            <td align="right" valign="top">0.963</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">PDA2</td>
                            <td align="right" valign="top">0.976</td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">PDA1</td>
                            <td align="right" valign="top">0.949</td>
                            <td align="right" valign="top"/>
                        </tr>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>Extraction Method: Principal Component Analysis. Rotation Method:
                                Promax with Kaiser Normalization. Rotation converged in six
                                iterations.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett&#8217;s
                    test, p = 000 were employed, and the communalities for each variable were
                    sufficiently high (&gt;.6), thus indicating that the study variables were
                    adequately correlated for factor analysis (<xref ref-type="bibr" rid="B26"
                        >Gaskin, 2019</xref>). All items of the proposed model loaded satisfactorily
                    except for item PDA3, which was removed to achieve a clean EFA, as depicted in
                    the pattern matrix (Table <xref ref-type="table" rid="T1">1</xref>).
                    Additionally, the reproduced matrix had only 1% non-redundant residuals higher
                    than 0.05, which further confirmed the adequacy of the variables and the
                    six-factor model. Importantly, all scales showed high internal consistency in
                    the corresponding reflective indicators.</p>
                <p>Third, analysis confirmed the convergent and discriminant validity of the data
                    where for all factors the average variance extracted (AVE) was above 0.50 (<xref
                        ref-type="bibr" rid="B3">Anderson and Gerbing, 1988</xref>; <xref
                        ref-type="bibr" rid="B39">Hu and Bentler, 1999</xref>; <xref ref-type="bibr"
                        rid="B50">Malhotra and Dash, 2011</xref>), and all factors demonstrated
                    adequate discriminant validity because the diagonal values in Table <xref
                        ref-type="table" rid="T2">2</xref> were greater than the correlations (<xref
                        ref-type="bibr" rid="B26">Gaskin, 2019</xref>). The composite reliability
                    (CR) of each factor attained the threshold of 0.70 (<xref ref-type="bibr"
                        rid="B58">Nunnally and Bernstein, 1994</xref>; <xref ref-type="bibr"
                        rid="B31">Hair et al., 2006</xref>). Hence it can be concluded that there
                    was enough reliability for the factors to proceed with further analysis.</p>
                <table-wrap id="T2">
                    <label>Table 2</label>
                    <caption>
                        <p>Descriptive Statistics, Validity and Reliability of Model Factors.</p>
                    </caption>
                    <table>
                        <tr>
                            <th align="left" valign="top">FACTOR</th>
                            <th align="center" valign="top">&#945;</th>
                            <th align="center" valign="top">MEAN</th>
                            <th align="center" valign="top">SD</th>
                            <th align="center" valign="top">CR</th>
                            <th align="center" valign="top">AVE</th>
                            <th align="center" valign="top">CONGR</th>
                            <th align="center" valign="top">IP</th>
                            <th align="center" valign="top">INV</th>
                            <th align="center" valign="top">MOTV</th>
                            <th align="center" valign="top">AAT</th>
                            <th align="center" valign="top">PDA</th>
                        </tr>
                        <tr>
                            <td colspan="12">
                                <hr/>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">CONGR</td>
                            <td align="right" valign="top">.841</td>
                            <td align="right" valign="top">4.450</td>
                            <td align="right" valign="top">1.155</td>
                            <td align="right" valign="top">0.853</td>
                            <td align="right" valign="top">0.670</td>
                            <td align="right" valign="top">
                                <bold>0.818</bold>
                            </td>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">IP</td>
                            <td align="right" valign="top">.921</td>
                            <td align="right" valign="top">4.612</td>
                            <td align="right" valign="top">1.233</td>
                            <td align="right" valign="top">0.926</td>
                            <td align="right" valign="top">0.807</td>
                            <td align="right" valign="top">0.038</td>
                            <td align="right" valign="top">
                                <bold>0.898</bold>
                            </td>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">INVOL</td>
                            <td align="right" valign="top">.860</td>
                            <td align="right" valign="top">4.687</td>
                            <td align="right" valign="top">1.135</td>
                            <td align="right" valign="top">0.901</td>
                            <td align="right" valign="top">0.753</td>
                            <td align="right" valign="top">0.383</td>
                            <td align="right" valign="top">0.289</td>
                            <td align="right" valign="top">
                                <bold>0.868</bold>
                            </td>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">MOTV</td>
                            <td align="right" valign="top">.937</td>
                            <td align="right" valign="top">4.938</td>
                            <td align="right" valign="top">1.208</td>
                            <td align="right" valign="top">0.937</td>
                            <td align="right" valign="top">0.832</td>
                            <td align="right" valign="top">0.354</td>
                            <td align="right" valign="top">0.366</td>
                            <td align="right" valign="top">0.276</td>
                            <td align="right" valign="top">
                                <bold>0.912</bold>
                            </td>
                            <td align="right" valign="top"/>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">ATT</td>
                            <td align="right" valign="top">.910</td>
                            <td align="right" valign="top">4.868</td>
                            <td align="right" valign="top">1.141</td>
                            <td align="right" valign="top">0.920</td>
                            <td align="right" valign="top">0.741</td>
                            <td align="right" valign="top">0.306</td>
                            <td align="right" valign="top">0.425</td>
                            <td align="right" valign="top">0.396</td>
                            <td align="right" valign="top">0.515</td>
                            <td align="right" valign="top">
                                <bold>0.861</bold>
                            </td>
                            <td align="right" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">PDA</td>
                            <td align="right" valign="top">.964</td>
                            <td align="right" valign="top">4.230</td>
                            <td align="right" valign="top">1.233</td>
                            <td align="right" valign="top">0.938</td>
                            <td align="right" valign="top">0.883</td>
                            <td align="right" valign="top">0.050</td>
                            <td align="right" valign="top">0.584</td>
                            <td align="right" valign="top">0.192</td>
                            <td align="right" valign="top">0.362</td>
                            <td align="right" valign="top">0.386</td>
                            <td align="right" valign="top">
                                <bold>0.940</bold>
                            </td>
                        </tr>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>Goodness-of-fit indexes: CMIN/DF = 2.280; p = 000; GFI = 932; CFI =
                                .974; RMR = .099; RMSEA = .053; PCLOSE = .283.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>Also, since all the latent factors showed high internal consistency of the
                    corresponding reflexive observed items, composites were created for use in
                    further analysis by averaging the values of the items.</p>
                <p>The analysis confirmed the convergent and discriminant validity of the data where
                    for all factors the average variance extracted (AVE) was above 0.50, and all
                    factors demonstrated adequate discriminant validity because the diagonal values
                    in Table <xref ref-type="table" rid="T3">3</xref> were greater than the
                    correlations (<xref ref-type="bibr" rid="B26">Gaskin, 2019</xref>). The
                    composite reliability (CR) of each factor attained the threshold of 0.70, hence
                    it can be concluded that there was sufficient reliability for the factors to
                    proceed with further analysis. Also, since all the latent factors showed high
                    internal consistency of the corresponding reflexive observed items, composites
                    were created for use in further analysis by averaging the values of the
                    items.</p>
                <table-wrap id="T3">
                    <label>Table 3</label>
                    <caption>
                        <p>Results of Analysis Causal Model.</p>
                    </caption>
                    <table>
                        <tr>
                            <th align="left" valign="top">Hypotheses</th>
                            <th align="left" valign="top">Model-Path</th>
                            <th align="left" valign="top">Unstandardized Coefficient (B), T-Value,
                                Confidence Interval, Significance</th>
                            <th align="left" valign="top">Contrast</th>
                        </tr>
                        <tr>
                            <td colspan="4">
                                <hr/>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">H<sub>1</sub></td>
                            <td align="left" valign="top">PAA-IP C</td>
                            <td align="left" valign="top">B = .585, t = 9.366(.054), CL (.406
                                to.621), p = .0005</td>
                            <td align="left" valign="top">Accepted</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">PAA-IP C&#8217;</td>
                            <td align="left" valign="top">B = .251, t = 5.098(.062), CL (.299 to
                                .532)</td>
                            <td align="left" valign="top"/>
                        </tr>
                        <tr>
                            <td align="left" valign="top">H<sub>2</sub></td>
                            <td align="left" valign="top"/>
                            <td align="left" valign="top">B, PDA = .444(.033), p &lt; .0005; B CONGR
                                = .054(.042), p = .196</td>
                            <td align="left" valign="top">Accepted</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top" rowspan="2">H<sub>3</sub></td>
                            <td align="left" valign="top">PAA-MOTV</td>
                            <td align="left" valign="top">B = 617, t = 12.141(.051), CL (.193 to
                                .4345), p = 0</td>
                            <td align="left" valign="top" rowspan="3">Accepted: Partial
                                Mediation</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">MO-IP</td>
                            <td align="left" valign="top">B = .135, t = 2.642(.051), CL (.035 to
                                .236), p = .009</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top" rowspan="3">H<sub>4</sub></td>
                            <td align="left" valign="top">PAA-MOTV-IP</td>
                            <td align="left" valign="top">B = 2.247, t = 12.096(.051) CL (.517 to
                                .717)</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">PAA-ATT</td>
                            <td align="left" valign="top">B = .245, t = 4.619(.054), CL (.144 to
                                .358), p = .0005</td>
                            <td align="left" valign="top" rowspan="2">Accepted: Partial
                                Mediation</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">ATT-IP</td>
                            <td align="left" valign="top">B = .359, t = 4.77(.051), CL (.144 to
                                .347), p = .0005</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">H<sub>5</sub></td>
                            <td align="left" valign="top">MOTV-ATT</td>
                            <td align="left" valign="top">B = .359, t = .8.31(.043), CL (.274 to
                                .444) p = .0005</td>
                            <td align="left" valign="top">Accepted</td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">H<sub>6</sub></td>
                            <td align="left" valign="top">PAA X INVOL</td>
                            <td align="left" valign="top">B = &#8211;.044, t = &#8211;1.145(.043),
                                CL (&#8211;.120 to .032); P = .253</td>
                            <td align="left" valign="top">NS</td>
                        </tr>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>Interaction Moderation of Cause-Involvement.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec>
            <title>Hypotheses testing results</title>
            <p>The paper tested our mediation and moderation hypotheses using options 6 and 15,
                respectively, of Hayes&#8217; (<xref ref-type="bibr" rid="B35">2013</xref>) process
                macro in SPSS version 26 with a 5000-bootstrap resampling at the 95% confidence
                interval. The results of the significant model paths are depicted in Figure <xref
                    ref-type="fig" rid="F2">2</xref> and the full results are as detailed in Table
                    <xref ref-type="table" rid="T3">3</xref>.</p>
            <fig id="F2">
                <label>Figure 2</label>
                <caption>
                    <p>Results of Analysis Causal Model.</p>
                    <p><italic>Notes</italic>: * p &#8804; .05; ** p &#8804; .01; *** p &#8804;
                        .001.</p>
                    <p>Unstandardised coefficients are reported with standard errors in
                        parentheses.</p>
                </caption>
                <graphic xmlns:xlink="http://www.w3.org/1999/xlink"
                    xlink:href="/article/id/294/file/9868/"/>
            </fig>
            <p>The paper tested the hypotheses while controlling for gender to remove potential
                confounding effects, since the literature suggests that gender is an influential
                variable in pro-social activities. Moreover, females have been found in most cases
                to show more favourable attitudes than men (<xref ref-type="bibr" rid="B53"
                    >Moosmayer and Fuljahn, 2010</xref>). Table <xref ref-type="table" rid="T3"
                    >3</xref> and Figure <xref ref-type="fig" rid="F2">2</xref> summarise the
                results of the hypotheses testing. Interpretation of the direct, total and mediation
                effects of PAA &#8211;IP follow the regression, mediation and moderation
                bootstrapping process approach employed by Hayes (<xref ref-type="bibr" rid="B35"
                    >2013</xref>). The proposed final best-fit consumer response model was
                determined by model estimations in AMOS 26.</p>
            <p>The aim of H<sub>1</sub> was to confirm the positive relationship between the two
                predictors of perceived ad authenticity (PAA) on the outcome variable (IP). The
                relationship was explored by performing regression analysis, and the results
                presented in Table <xref ref-type="table" rid="T3">3</xref> indicate that the
                regression coefficient was positive, and the relationship was statistically
                significant (.585(.052); p &lt; 0.0005). Hence, H<sub>1</sub> was supported by the
                sample data. H<sub>2</sub> predicted the relative contribution of perceived donation
                amount (PDA) and ad-context congruence (CONGR) in PAA determining IP. The results
                confirmed the predicted stronger effect of PDA over CONGR (PDA: B = .444(.033);
                CONGR: B = .054(.042). Hence, H<sub>2</sub> was supported.</p>
            <p>The goal of the mediation hypotheses was to investigate the mechanism through which
                the changes in PAA in digital CRM ads result in changes in IP. As indicated in Table
                    <xref ref-type="table" rid="T3">3</xref> and illustrated in Figure <xref
                    ref-type="fig" rid="F2">2</xref>, the significant mediatory paths confirm
                mediation (<xref ref-type="bibr" rid="B35">Hayes, 2013</xref>). In addition,
                attributed altruistic motives (MOTV) were a significant predictor of attitudes
                towards the ad (AAT): 359(.043) p &lt; 0005. These results support the serial
                mediational hypotheses (H<sub>3</sub>, H<sub>4</sub> and H<sub>5</sub>) of MOTV and
                ATT. However, since PAA was a significant predictor of IP before and after the
                inclusion of the mediators, the results were indicative of partial mediatory effects
                for both MOTV and ATT on PAA-IP (<xref ref-type="bibr" rid="B35">Hayes, 2013</xref>;
                    <xref ref-type="bibr" rid="B26">Gaskin, 2019</xref>).</p>
            <p>Hypothesis H<sub>6</sub> predicted how the consumers&#8217; involvement (INVOL) with
                the social cause might strengthen or weaken the PAA-IP relationship. The results
                show that INVOL does not significantly vary across situations in digital CRM
                advertising, as predicted (B: &#8211;.044(.043), P = .253). Instead, INVOL seems to
                dampen the positive PAA-IP link, as illustrated in Figure <xref ref-type="fig"
                    rid="F3">3</xref>. This illustrates that cause-Involvement dampens the positive
                relationship between perceived ad authenticity and intention to purchase (IP).</p>
            <fig id="F3">
                <label>Figure 3</label>
                <caption>
                    <p>Interaction of Perceived AD Authenticity and Cause-Involvement.</p>
                </caption>
                <graphic xmlns:xlink="http://www.w3.org/1999/xlink"
                    xlink:href="/article/id/294/file/9869/"/>
            </fig>
            <p>To propose an effective consumer response model, the paper attempted to fit the
                original conceptual structural model of the variables to the data. Unfortunately,
                due to the presence of serial mediators, the model would have had zero degrees of
                freedom and thus fit perfectly.</p>
            <p>However, the paper presents this model because it represents what happens (as already
                proven) when MOTV and ATT both have direct effects on IP. The model would be perfect
                (as has been shown) when MOTV and ATT work in the same way towards IP. To achieve
                some degree of freedom (<xref ref-type="bibr" rid="B27">Goldsmith et al.,
                    2000</xref>; <xref ref-type="bibr" rid="B8">Bagozzi and Yi, 2012</xref>), the
                paper considered the best alternate model to fit the sample data (<xref
                    ref-type="bibr" rid="B27">Goldsmith et al., 2000</xref>; <xref ref-type="bibr"
                    rid="B64">Schreiber, 2008</xref>). An examination of the model parameter
                estimates (Figure <xref ref-type="fig" rid="F2">2</xref>) and fit statistics
                indicated that the path from MOTV to IP was relatively weak, since MOTV was found to
                have less effect on IP than ATT (<xref ref-type="bibr" rid="B27">Goldsmith et al.,
                    2000</xref>). Hence, this path was eliminated.</p>
            <p>This modification is consistent with the attitude-toward-the-ad literature that
                specifies the Dual Mediation Hypothesis (<xref ref-type="bibr" rid="B49">MacKenzie
                    et al., 1986</xref>), which shows only an indirect effect of
                &#8216;attitudes&#8217; on behavioural outcomes. Furthermore, according to the
                Elaboration Likelihood Model (ELM) presented by Petty et al. (<xref ref-type="bibr"
                    rid="B59">1983</xref>), the peripheral route to persuasion is the path where the
                digital CRM offer could be most compelling, and the effects are most closely
                associated with attitudes towards the ad. The goodness-of-fit statistics for the
                revised model (Figure <xref ref-type="fig" rid="F4">4</xref>), as recommended by
                several authors (<xref ref-type="bibr" rid="B3">Anderson and Gerbing, 1988</xref>;
                    <xref ref-type="bibr" rid="B39">Hu and Bentler, 1999</xref>; Schreiber),
                indicated a reasonably good overall fit (Goodness-of-fit indexes: CMIN/DF = 2.260; p
                = 000; GFI = 946; CFI = .886; AGFI = .922; RMR = .204; NFI = .816; RMSEA = .052;
                PCLOSE = .349).</p>
            <fig id="F4">
                <label>Figure 4</label>
                <caption>
                    <p>Final Model.</p>
                    <p><italic>Notes</italic>: * p &#8804; .05; ** p &#8804; .01; *** p &#8804;
                        .001; Unstandardized coefficients are reported with standard errors in
                        parentheses. Goodness-of-fit indexes: CMIN/DF = 2.260; p = 000; GFI = 946;
                        CFI = .886; AGFI = .922; RMR = .204; NFI = .816; RMSEA = .052; PCLOSE =
                        .349.</p>
                </caption>
                <graphic xmlns:xlink="http://www.w3.org/1999/xlink"
                    xlink:href="/article/id/294/file/9870/"/>
            </fig>
        </sec>
        <sec>
            <title>Summary and conclusions</title>
            <p>The goal of this paper was to identify and examine the impact of two dimensions of
                authenticity of digital CRM ads on consumer responses while also proposing a
                composite theoretical model for advertising effectiveness. There are several reasons
                for examining the impact of the authenticity of digital CRM ads with
                cause-involvement as a moderator. First, advertising authenticity is considered to
                be a significant driver of advertising. Yet, there is no common understanding of
                what ad authenticity involves (<xref ref-type="bibr" rid="B55">Morhart et al.,
                    2015</xref>; <xref ref-type="bibr" rid="B9">Becker et al., 2019</xref>). Second,
                because authenticity can help consumers find how to attain personal goals (<xref
                    ref-type="bibr" rid="B52">Michael and Beverland, 2010</xref>), it is crucial to
                understand how digital CRM advertising resonates with consumers and influences
                consumption behaviour.</p>
            <p>Third, and following on from the preceding point, it is argued that different
                personal goals and standards enable people to find authenticity in a range of
                objects and consumption situations that others may deem as fake (<xref
                    ref-type="bibr" rid="B63">Rose and Wood 2005</xref>; <xref ref-type="bibr"
                    rid="B52">Michael and Beverland, 2010</xref>). Therefore, it is crucial to
                understand how consumers view and respond to digital CRM advertising.</p>
            <p>By identifying donation magnitude as a critical element in ad design with respect to
                authenticity, this paper show that consumers&#8217; assessments of genuineness,
                reality and truth on how to attain the social goal of helping others is based on
                that factor. This result also recognises previous work within conventional CRM
                research which suggests that the donation magnitude has a significant effect on the
                brand evaluation (<xref ref-type="bibr" rid="B44">Koschate-Fischer et al.,
                    2012</xref>; <xref ref-type="bibr" rid="B15">Chang, 2012</xref>; <xref
                    ref-type="bibr" rid="B24">Folse et al., 2014</xref>). In addition, it determines
                the credibility, honesty, trustworthiness and transparency of the advertising (<xref
                    ref-type="bibr" rid="B70">Webb and Mohr, 1998</xref>; <xref ref-type="bibr"
                    rid="B54">Moosmayer and Fuljahn, 2013</xref>). In addition, in line with the
                congruity theories of contextual priming (<xref ref-type="bibr" rid="B71">Yi,
                    1990</xref>, <xref ref-type="bibr" rid="B72">1993</xref>) and cognitive
                interference (<xref ref-type="bibr" rid="B25">Furnham et al., 2002</xref>), this
                paper proposes that the ad-context congruence as a component of perceived ad
                authenticity would reflect findings in various contexts examined in CRM research,
                where &#8216;relevance&#8217;, &#8216;congruity&#8217; and &#8216;fit&#8217; (as
                they have been variously termed) provide cues that consumers use to evaluate company
                trustworthiness when linking advertising to a social cause (<xref ref-type="bibr"
                    rid="B62">Rifon et al., 2004</xref>; <xref ref-type="bibr" rid="B10"
                    >Becker-Olsen et al., 2006</xref>; <xref ref-type="bibr" rid="B21">Ellen, Webb
                    and Mohr 2006</xref>; <xref ref-type="bibr" rid="B46">Lafferty et al.,
                    2007</xref>; <xref ref-type="bibr" rid="B14">Bign&#233;-Alca&#241;iz et al.,
                    2012</xref>). Besides, when considering congruence as an authenticity element in
                digital CRM advertising, this paper recognises previous works that suggest that
                ad-context congruence can increase attention, memory and retention (<xref
                    ref-type="bibr" rid="B18">Choi and Rifon, 2002</xref>). Hence, the findings of
                this paper validate these works in the context of digital CRM display advertising
                and show that donation magnitude and ad-context congruence define authenticity
                indicators of the ad.</p>
            <p>By evaluating the relative impact of the donation amount and ad-context congruence,
                this paper also contributes to the literature by showing that donation magnitude has
                a stronger impact on consumers&#8217; authenticity evaluation of the ad than
                ad-context congruence. A valuable insight obtained from the proposed model is that
                PAA has an impact on consumer behaviour through altruistic attribution of the firm
                (MOTV) in the advertising and attitude towards the ad as a fundraiser (AAT), because
                attitudes mediate the positive PAA-IP link (Figure <xref ref-type="fig" rid="F4"
                    >4</xref>).</p>
            <p>The proposed model did not show support for influence involvement (INVOL), which is
                the intangible attitude to values that are derived from the relevance and importance
                that people hold towards the social cause. The effectiveness of ads has been found
                in various context in CRM research (<xref ref-type="bibr" rid="B42">Hyllegard et
                    al., 2011</xref>; <xref ref-type="bibr" rid="B44">Koschate-Fischer et al.,
                    2012</xref>; <xref ref-type="bibr" rid="B32">Hajjat, 2013</xref>) and display
                advertising (<xref ref-type="bibr" rid="B40">Huang et al., 2010</xref>; <xref
                    ref-type="bibr" rid="B75">Zanjani et al., 2011</xref>; <xref ref-type="bibr"
                    rid="B65">Segev et al., 2014</xref>). For years advertising scholars have argued
                that involvement plays a significant role in moderating and interpreting variable
                relationships (<xref ref-type="bibr" rid="B56">Muehling et al., 1993</xref>; Belch
                and Belch 2012), affecting the level of arousal and preparedness to approach a
                display ad on a website.</p>
            <p>The counterintuitive results thus provide fresh insights into the role of involvement
                and the nature of digital CRM display advertising that operationalises concepts of
                conventional CRM within the digital space. More specifically, and in contrast to the
                well-established ELM (<xref ref-type="bibr" rid="B59">Petty et al., 1983</xref>),
                the findings suggest that participants who are more involved with the study of a
                social cause (e.g., Save the Children) do not process the prosocial message of the
                ad strongly enough to stimulate more favourable cognitive elaboration of the ad as
                expected. Involvement was found to marginally dampen the positive PAA-IP
                relationship.</p>
            <sec>
                <title>Managerial implications</title>
                <p>It is widely claimed that authenticity is a major driver of advertising success
                        (<xref ref-type="bibr" rid="B33">Hallem et al., 2019</xref>; <xref
                        ref-type="bibr" rid="B9">Becker et al., 2019</xref>). However, it is not
                    clear what authenticity means in different contexts and situations. This
                    research presents an initial attempt to shed light on the concept of
                    authenticity in the context of digital CRM advertising and its impact on
                    consumers&#8217; intention to purchase. The paper provides evidence that the
                    cumulative effect of perceived donation amount and ad-context congruence can
                    define the authenticity of the ad. The identification of the two dimensions
                    implies that marketers can use the term &#8216;authenticity&#8217; more
                    specifically in internal and external communications when, for example, working
                    with a digital creative designer. Our research thus helps create the basis for
                    more fruitful and targeted communications.</p>
                <p>Second, advertisers must appreciate consumers&#8217; altruistic attribution
                    motives in the ad. The results of the paper show that consumers attempt to make
                    attributions of the firm&#8217;s support to the social cause. Thus, any
                    managerial decision that improves perceptions of company trustworthiness (e.g.,
                    increased donations) will also increase perceptions of the altruistic image as
                    more legitimate, genuine and sound, which significantly improves consumer
                    attitudes and responses towards the ad. Even the ad congruence with the
                    NPO&#8217;s cause website context, renders the ad more legitimate and genuine.
                    This contextual coherence cue makes it possible for consumers to form favourable
                    attitudes towards the ad, leading to the intention to support the
                    advertising.</p>
                <p>Finally, regarding the interplay of authenticity and consumers&#8217; personal
                    attributes, the results of this paper did not support claims that consumers with
                    greater involvement in social causes would demonstrate a higher intention to
                    purchase given a higher degree of perceived authenticity. This finding can be
                    more broadly taken to suggest that the ad could be used for effective targeting
                    of a more diverse consumer segment in terms of differences in connection with
                    the social cause.</p>
            </sec>
            <sec>
                <title>Limitations and future directions</title>
                <p>While the present paper extends the understanding of existing advertising
                    authenticity and CRM research in several ways and provides essential theoretical
                    and managerial implications for digital advertising, a significant limitation
                    should be mentioned. Recognising this should help refine future research
                    efforts.</p>
                <p>A significant limitation to this paper is that the design and placement of the ad
                    stimuli on a charity website rather than the commercial brand website renders
                    the study more focused on the charitable cause than the commercial brand. As a
                    result, the proposed model may not be generalisable to a context where the brand
                    is a central focus.</p>
                <p>There are two possible directions in which this study can be extended. First,
                    given that this paper found the effect of authenticity is only partially
                    mediated by attributed firm altruistic motive and attitudes towards the ad as a
                    fundraiser there could be other significant mediators of authenticity to be
                    identified, which considered together can fully explain the positive
                    relationship between authenticity and intention to purchase.</p>
                <p>Second, future research should attempt to replicate these results and determine
                    the differential impact of donation amount and congruence in models containing a
                    variety of additional moderating constructs, such as &#8216;familiarity&#8217;
                    with the brand or social causes.</p>
                <p>Despite the limitation indicated, the results in this paper demonstrate that the
                    perceived donation amount and the relevance of the ad constitute the
                    authenticity of digital CRM ads, and the altruistic motives attributed to the
                    brand and attitudes towards the advertisement as a fundraiser determine the
                    intention to purchase to a large extent.</p>
            </sec>
        </sec>
    </body>
    <back>
        <app-group>
            <app>
                <title>Appendices</title>
                <table-wrap id="T4">
                    <label>Appendix 1</label>
                    <caption>
                        <p>Sample CRM Display AD (A &amp; B).</p>
                    </caption>
                    <table>
                        <tr>
                            <td align="left" valign="top">A: Save-the-Children &amp; British Airways
                                ticket</td>
                            <td align="left" valign="top">B: Save-the-Children &amp; Argos toys</td>
                        </tr>
                        <tr>
                            <td colspan="2">
                                <hr/>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">
                                <inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink"
                                    xlink:href="wpcc-15-1-344-g5.png"/>
                            </td>
                            <td align="left" valign="top">
                                <inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink"
                                    xlink:href="wpcc-15-1-344-g6.png"/>
                            </td>
                        </tr>
                    </table>
                </table-wrap>
                <table-wrap id="T5">
                    <label>Appendix 2</label>
                    <caption>
                        <p>Scale Items for Construct Measures.</p>
                    </caption>
                    <table>
                        <tr>
                            <th align="left" valign="top">Construct</th>
                            <th align="left" valign="top">Items</th>
                            <th align="center" valign="top">DM*</th>
                            <th align="left" valign="top">Sources</th>
                        </tr>
                        <tr>
                            <td colspan="4">
                                <hr/>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Perceived Donation Amount</td>
                            <td align="left" valign="top">A [%] donation is in this situation a low
                                vs. high amount; a [%] donation is in this situation a below average
                                vs. above average amount; a [%] donation is in this situation a
                                below a small vs. a large amount.</td>
                            <td align="right" valign="top">3</td>
                            <td align="left" valign="top">
                                <xref ref-type="bibr" rid="B44">Koschate-Fischer et al., 2012</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Perceived AD-Website Congruence</td>
                            <td align="left" valign="top">Semantic differential scale with endpoints
                                of compatible/not compatible, good fit/bad fit, relevant/irrelevant,
                                and congruent/not congruent.</td>
                            <td align="right" valign="top">3</td>
                            <td align="left" valign="top">
                                <xref ref-type="bibr" rid="B62">Rifon et al., 2004</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Purchase Intention</td>
                            <td align="left" valign="top">Very likely/unlikely; very
                                possible/impossible; very probable/improbable</td>
                            <td align="right" valign="top">3</td>
                            <td align="left" valign="top"><xref ref-type="bibr" rid="B71">Yi,
                                    1990</xref>, modified by <xref ref-type="bibr" rid="B65">Segev
                                    et al., 2014</xref></td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Perceived Firms Altruistic Motive</td>
                            <td align="left" valign="top">[The company] feels morally obligated to
                                help; [the company] has a long-term interest in the community; [the
                                company] wants to make it easier for customers who care about the
                                cause to support it.</td>
                            <td align="right" valign="top">3</td>
                            <td align="left" valign="top">
                                <xref ref-type="bibr" rid="B21">Ellen, Webb and Mohr 2006</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Attitude towards the Ad</td>
                            <td align="left" valign="top">Bad/good, unfavourable/favourable,
                                disagreeable/agreeable, unpleasant/pleasant, negative/positive and
                                dislike/like.</td>
                            <td align="right" valign="top">4</td>
                            <td align="left" valign="top">
                                <xref ref-type="bibr" rid="B49">MacKenzie et al. 1986</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" valign="top">Cause-Involvement</td>
                            <td align="left" valign="top">Is an unimportant cause to me vs. Is an
                                important cause to me; Means nothing to me vs. Means a lot to me; Is
                                personally irrelevant to me vs. Is personally relevant to me</td>
                            <td align="right" valign="top">3</td>
                            <td align="left" valign="top">Grau and Folse(2007)</td>
                        </tr>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>DM* = Measure dimension; Coef* = Alpha coefficient. All scales were
                                seven-point rated with &#8216;strongly disagree&#8217; and
                                &#8216;strongly agree&#8217; as anchors.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </app>
        </app-group>
        <sec>
            <title>Competing Interests</title>
            <p>The authors have no competing interests to declare.</p>
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