Abstract
This article offers a new perspective on customer–company identification (CCI) by focusing on CCI’s underlying self-motives: self-uncertainty and self-enhancement. More precisely, an operationalization is proposed in which cognitive (CCICog) and affective (CCIAff) dimensions of CCI are driven by different self-motives: CCICog by self-uncertainty and CCIAff by self-enhancement. Focusing on these self-motives reveals that CCICog and CCIAff affect some customer attitudes and behaviors in opposite ways but affect other attitudes and behaviors similarly. A cross-sectional survey that examines outcomes of CCICog and CCIAff supports the proposed conceptualization of CCI and suggests the dimensions differ in how each impacts customer–company relationships. Furthermore, the study suggests that combining the dimensions together in higher order constructs or examining only one dimension can lead to misleading conclusions.
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Notes
This stands in contrast to related constructs such as self–image congruity and brand–self connection. For a review of the theoretical differences between CCI and other constructs, see Brown et al. (2005).
We conducted two tests to ensure the discriminant validity of CCICog and CCIAff. The first, the fix-and-free test, is passed because a chi-square difference test, comparing when the variance between CCICog and CCIAff is set to unitary as to when it is not, is significant (∆χ 2 = 14.73, ∆df = 1). The second and more conservative test, the Fornell and Larcker (1981) test, is passed because the AVE of CCICog and CCIAff (.79) is much higher than their shared variance (.27). Thus, both tests provide evidence for the discriminant validity of CCICog and CCIAff from each other.
Two pieces of evidence counter the consideration that multicollinearity is a cause of the observed effects. First, the variance inflation factor for the two dimensions is small across the dependent variables (max VIF = 1.52). Second, we tested the hypotheses using ridge regression to control for multicollinearity. Using a ridge parameter of .105 to reduce the VIF to 1 for each variable maintained the significance of the hypotheses as in the original analysis.
We used an orthogonalizing approach for modeling the interactions in PLS as this approach is superior to other methods (Henseler and Chin 2010). The interaction term was significant for only three of the eight dependent variables. These are NWOM (β = −.10, p < .05), PWOM (β = −.11, p < .05), and willingness to purchase a gift (β = −.09, p < .05). The direction of these interactions suggest CCIAff has an attenuating effect on CCICog such that as CCIAff increases, it weakens the effect of CCICog on NWOM, PWOM, and willingness to purchase a gift.
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We would like to thank the three anonymous reviewers and the Editor, G. Tomas M. Hult, for critical and helpful comments that greatly transformed the initial submission into a complete article. In addition, we owe a debt of gratitude to Simon Brach, Charles Hofacker, Herbert Rotfeld, and Jeffery Smith for their insightful comments on earlier versions of the paper.
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Wolter, J.S., Cronin, J.J. Re-conceptualizing cognitive and affective customer–company identification: the role of self-motives and different customer-based outcomes. J. of the Acad. Mark. Sci. 44, 397–413 (2016). https://doi.org/10.1007/s11747-014-0421-6
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DOI: https://doi.org/10.1007/s11747-014-0421-6