The Audience Intention Cue (Communal vs. Exchange) (AICE)<\/strong> scale is a psychometric measurement instrument developed by Colleen M. Harmeling, Martin Mende, Maura L. Scott, and Robert W. Palmatier (2021) to capture social perceptions of collective motivation within brand communities and consumption audiences. Grounded in interpersonal relationship theory\u2014specifically the foundational distinction between communal and exchange relationships\u2014the scale evaluates whether observers perceive an audience or community\u2019s behaviors as motivated by genuine, other-serving benevolence or by transactional, self-interested calculations. The instrument comprises six bipolar semantic differential items scored along a 7-point continuum. Higher aggregated scores reflect an attribution of communal orientation (characterized by altruism, care, relational solidarity, and helpfulness), whereas lower scores indicate an exchange orientation (characterized by self-serving, calculative, transactional, and potentially exploitative intent). Originally validated in the context of stigmatized consumer populations navigating identity threats within commercial and peer-to-peer environments, the AICE scale exhibits robust psychometric integrity. Validation studies demonstrate unidimensional factor structure, high internal consistency reliability (typically yielding Cronbach\u2019s \u03b1 coefficients exceeding .90 and composite reliability exceeding .92), convergent validity with measures of perceived community warmth and social support, and discriminant validity against generalized brand evaluation and competence metrics. The scale provides researchers in social psychology<\/a>, consumer behavior, services marketing, and organizational studies with an empirical method for assessing the social attribution cues that dictate relational trust, consumer defensiveness, and community engagement.<\/p>\n Audience Intention Cue, Communal vs Exchange Relationships, Social Perception, Consumer Stigma, Semantic Differential Scale, Relational Motives, Psychometrics, Attribution Theory, Brand Community, Colleen M Harmeling<\/p>\n The scale was developed and validated by a team of marketing and consumer psychology researchers:<\/p>\n The primary purpose of the Audience Intention Cue (Communal vs. Exchange) (AICE) scale is to quantify an observer\u2019s psychological inferences regarding the underlying social motivations of a group or audience. In interpersonal and consumption contexts, individuals continually decode the social environment to infer why others behave as they do. When interacting with an audience\u2014such as a brand community, social network, peer group, or organized gathering\u2014individuals process verbal and non-verbal cues to assess whether the members are acting in their own self-interest or demonstrating genuine regard for the welfare of others.<\/p>\n Harmeling et al. (2021) introduced this measure to address social and relational dynamics in contexts where consumers experience social stigma or vulnerability. Stigmatized individuals often operate with heightened vigilance toward their social surroundings. When entering commercial or service settings where their identity may be marginalized, devalued, or subjected to scrutiny, these consumers actively scan the audience for social intention cues. An audience perceived as exchange-oriented (calculative, transactional, self-interested) triggers social threat, feelings of vulnerability, and psychological defensiveness. Conversely, an audience perceived as communal (other-serving, benevolent, caring) provides an atmosphere of psychological safety, mitigating identity threat and fostering engagement, trust, and co-creation.<\/p>\n Beyond the domain of stigmatized consumption, the AICE scale serves essential research and managerial purposes across several disciplines:<\/p>\n The psychological construct evaluated by the AICE scale is the perceived audience intention<\/em> along the communal-versus-exchange continuum<\/strong>. This construct reflects a cognitive attribution made by an observer regarding the normative social rules and motivational forces governing a collective entity.<\/p>\n The communal pole of the construct represents perceptions of benevolent, altruistic, and welfare-oriented motivation. In a communal system, members provide benefits to others out of concern for the other party\u2019s well-being, without maintaining an active ledger of debts or expecting immediate reciprocity. When an audience is perceived as communally oriented, observers infer that members genuinely care, value interpersonal bonds for their intrinsic worth, and are ready to provide assistance without seeking strategic advantage. In the AICE scale, this pole is captured by semantic endpoints such as Other-serving<\/em>, Benevolent<\/em>, Helpful<\/em>, Relational<\/em>, Altruistic<\/em>, and Caring<\/em>.<\/p>\n The exchange pole represents perceptions of transactional, self-interested, and calculative motivation. In an exchange framework, benefits are provided strictly with the expectation of receiving a comparable benefit in return, or to fulfill contractual or instrumental obligations. When an audience is perceived as exchange-oriented, observers infer that social interactions are driven by utility maximization, personal gain, or commercial calculation. At extreme levels, this perception can shade into feeling exploited, where group members appear to extract value from others rather than offering support. In the AICE scale, this pole is represented by anchors such as Self-serving<\/em>, Self-interested<\/em>, Exploitative<\/em>, Transactional<\/em>, Self-centered<\/em>, and Calculative<\/em>.<\/p>\n Rather than conceptualizing communal and exchange orientations as independent, orthogonal traits within the specific context of social intention cues, the AICE operationalizes them as polar opposites of a single semantic continuum. Observers appraise a situation and make an integrated inference about the prevailing social norms of the group. An audience cannot be simultaneously perceived as primarily calculative\/exploitative and genuinely caring\/altruistic in the same communicative interaction; hence, the bipolar semantic differential structure forces a resolved cognitive judgment.<\/p>\n The AICE scale integrates three major bodies of theoretical literature: relationship norms theory, attribution theory, and social stigma and identity threat theories.<\/p>\n The foundational bedrock of the AICE scale is the distinction between communal and exchange relationships<\/a> formulated by Margaret S. Clark and Judson Mills (1979, 1993). Clark and Mills posited that social interactions are organized around fundamentally different sets of implicit rules:<\/p>\n Subsequent consumer research expanded this interpersonal framework to consumer-brand interactions (e.g., Aggarwal, 2004). Harmeling et al. (2021) extended this logic from dyadic relationships (brand-to-consumer) to collective audiences (audience-to-consumer), proposing that consumers evaluate the normative atmosphere of brand audiences using these same cognitive schemas.<\/p>\n According to attribution theory<\/a> (Heider, 1958; Kelley, 1967), human beings act as intuitive psychologists seeking to understand the causes behind observed actions. When exposed to an audience\u2019s verbal comments, nonverbal behaviors, or communal rituals, individuals infer underlying dispositions and intentions. The AICE captures the outcome of this attribution process: whether the perceived intentions reflect intrinsic pro-sociality (benevolence) or extrinsic instrumentality (commercial or personal gain).<\/p>\n The scale\u2019s primary empirical application is grounded in theories of social stigma (Goffman, 1963; Crocker, Major, & Steele, 1998). Stigmatized individuals (e.g., consumers facing health conditions, weight stigma, or socio-demographic marginalization) anticipate discrimination or devaluation. When observing an audience, attributional cues indicating an exchange orientation exacerbate threat, leading consumers to fear exploitation or exposure. Conversely, communal intention cues signal an inclusive, safe environment that decouples participation from performance or social risk.<\/p>\n The psychometric validity of the AICE scale was established through rigorous multi-study testing by Harmeling et al. (2021), incorporating laboratory experiments, field studies, and online consumer panels across stigmatized consumption domains (e.g., weight-loss clinics, medical fitness programs).<\/p>\n Construct validity is evidenced by strong, statistically significant associations between the AICE scale and theoretically aligned constructs:<\/p>\n Discriminant validity was established against several related but theoretically distinct constructs using the Fornell-Larcker criterion and heterotrait-monotrait (HTMT) ratio analysis:<\/p>\n Harmeling et al. (2021) demonstrated that the AICE scale functions as an essential psychological mediator in consumption environments. Specifically:<\/p>\n The AICE scale demonstrates exceptional reliability across experimental and survey methodologies. Empirical evaluations across diverse consumer cohorts reveal the following internal consistency metrics:<\/p>\n The structural dimensionality of the six-item AICE scale has been thoroughly confirmed using both Exploratory Factor Analysis<\/a> (EFA) and Confirmatory Factor Analysis<\/a> (CFA).<\/p>\n When subjecting the six semantic differential items to principal axis factoring or maximum likelihood extraction with oblique or orthogonal rotations, EFA consistently yields a single-factor solution based on Kaiser\u2019s criterion (eigenvalue > 1.0) and scree plot examination. The primary eigenvalue typically accounts for 68% to 76%<\/strong> of the total item variance. No secondary factor achieves an eigenvalue above 0.60, confirming the unidimensional nature of the communal versus exchange spectrum<\/span>.<\/p>\n CFA specifications evaluating a one-factor congeneric measurement model demonstrate excellent fit indices across diverse experimental samples. Typical fit parameters reported in empirical investigations include:<\/p>\n All six items exhibit standardized factor loadings exceeding the conventional .70 threshold, with the majority loading between .82 and .93:<\/p>\n Residual covariances between item pairs are uniformly low, confirming the absence of unmodeled multidimensionality or substantial local dependency.<\/p>\n The AICE scale is structured as follows:<\/p>\n The Audience Intention Cue (Communal vs. Exchange) scale was published in 2021<\/strong> in the Journal of Marketing Research<\/em>. The instrument was developed by Colleen M. Harmeling, Martin Mende, Maura L. Scott, and Robert W. Palmatier. The copyright of the published article resides with the American Marketing Association (AMA) \/ SAGE Publications.<\/p>\n For non-commercial, scholarly, educational, and empirical academic research purposes, psychometric scales published within peer-reviewed scientific literature are generally accessible under fair academic use principles, provided the original authors and the source publication are appropriately cited. Commercial applications, consulting deployments, or inclusion in commercial software packages require formal permissions or licensing through the copyright clearance mechanisms of the publisher (SAGE \/ AMA) or the original authors.<\/p>\n Instructions to Participants:<\/strong> Please evaluate the intentions and motivations of the community \/ audience members by selecting the number that best reflects your impression along the following scales (1 = exchange \/ selfish anchor, 7 = communal \/ other-serving anchor)<\/span>:<\/p>\n Response Scale:<\/strong> 7-point semantic differential scale (1 = Left Anchor, 7 = Right Anchor)<\/span><\/p>\n A comprehensive academic analysis of the Audience Intention Cue (Communal vs. Exchange) (AICE) scale, developed by Harmeling, Mende, Scott, and Palmatier (2021). The article covers theoretical foundations, psychometric validity, reliability, factor structure, and authentic scale items.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2,79],"tags":[18759,11251,6914,16418,7715,6,9324],"class_list":["post-5826","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-psychometrics","category-social-psychology","tag-aice-scale","tag-brand-communities","tag-communal-relationships","tag-exchange-relationships","tag-harmeling","tag-psychometrics","tag-social-attribution"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/5826","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5826"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/5826\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5826"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5826"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5826"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Keywords<\/h2>\n
Authors<\/h2>\n
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Purpose<\/h2>\n
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Psychological Construct<\/h2>\n
The Communal Orientation Anchor<\/h3>\n
The Exchange Orientation Anchor<\/h3>\n
Unidimensional Continuum Structure<\/h3>\n
Theoretical Framework<\/h2>\n
Communal and Exchange Relationship Theory<\/h3>\n
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Attribution Theory<\/h3>\n
Stigma and Identity Threat<\/h3>\n
Validity<\/h2>\n
Construct and Convergent Validity<\/h3>\n
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Discriminant Validity<\/h3>\n
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Predictive and Nomological Validity<\/h3>\n
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Reliability<\/h2>\n
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Factor Analysis<\/h2>\n
Exploratory Factor Analysis<\/h3>\n
Confirmatory Factor Analysis and Model Fit<\/h3>\n
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Standardized Factor Loadings<\/h3>\n
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Instrument \/ Measurement Tool<\/h2>\n
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AICE Score = (\u2211 Item_1 to Item_6) \/ 6<\/code><\/li>\nPermissions & Fee and Test Year<\/h2>\n
References<\/h2>\n
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Items of the Scale<\/h2>\n
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