Ambivalent perception of cause-related marketing: investigating the (in)congruence of opposite motivational perceptions on consumer evaluations
Abstract
Purpose
Despite the popularity of leveraging cause-related marketing (CRM) to make societal contributions and bolster business profits, sellers face a profound dilemma when conducting CRM due to consumers’ ambivalent understanding of sellers’ motivation for the initiative. Therefore, it is imperative to unravel consumers’ ambivalent understanding of CRM and determine how sellers can effectively employ CRM to elicit positive evaluations from consumers.
Design/methodology/approach
This study gathered survey data from 217 participants and applied a polynomial regression model and response surface analysis for disentangling ambivalent perception of CRM by investigating the influence of (in)congruence between perceived egoistic and altruistic motivation.
Findings
The incongruence between perceived egoistic and altruistic motivation can positively influence consumers’ evaluations of sellers. Moreover, when perceived egoistic and altruistic motivations are congruent, increasing their absolute level also enhances consumers’ evaluation of sellers. Moreover, sellers’ platform function usage behavior can amplify the positive effect of incongruence but has no salient moderating role on the congruence effect.
Originality/value
Differing from prior literature that predominantly focused on either the positive or negative interpretation of CRM, this study reveals the coexistence of both positive and negative viewpoints and disentangles the congruence and incongruence effect between the two motivational understandings.
Keywords
Acknowledgements
Funding: This work was supported by Natural Science Foundation of China with project codes 72302121 and 72472123.
Citation
Wang, Y., Chen, Y., Fang, J. and Xiong, B. (2024), "Ambivalent perception of cause-related marketing: investigating the (in)congruence of opposite motivational perceptions on consumer evaluations", Industrial Management & Data Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IMDS-05-2024-0495
Publisher
:Emerald Publishing Limited
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