EXPRESS: Do Robots Serve Brands’ Socially Responsible Image? How Mixed Signals Shape Consumers’ Brand Preference and Engagement

Brands increasingly adopt two strategies in tandem: they use artificially intelligent agents, such as service robots, to more efficiently serve customers, and they engage in corporate social responsibility (CSR) activities to positively shape brand-related perceptions and behaviors. In this research, across four studies (including a pilot study, an online interaction with an AI-powered robot and three pre-registered studies, involving real and fictitious brands and intentional and actual behavior) we provide evidence for the notion that these two strategies are not necessarily compatible. We reveal the counterintuitive and nuanced finding that brands engaging in high fit CSR suffer more from the introduction of service robots than brands that engage in low fit CSR. This outcome is explained by a perceived lack of alignment in consumers’ attributions regarding brands’ motivations behind the two strategies, especially regarding the brand’s profit maximization intentions. We further identify two managerially actionable moderators. First, a communal service robot strategy can mitigate the negative impact of service robots in instances of high fit CSR. Second, a more communal CSR implementation (i.e., volunteering time compared to donating money) can lead to a negative impact of service robots also when a firm pursues a low fit CSR strategy.

Authors

Publication Details

Journal
Journal of Interactive Marketing
Published
2025-12-25
DOI
https://doi.org/10.1177/10949968251413529
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

EXPRESS: Do Robots Serve Brands’ Socially Responsible Image? How Mixed Signals Shape Consumers’ Brand Preference and Engagement

Amir Grinstein, Marina Puzakova, Marc Becker
Journal of Interactive Marketing
AI in Service Interactions
article

EXPRESS: Do Robots Serve Brands’ Socially Responsible Image? How Mixed Signals Shape Consumers’ Brand Preference and Engagement

Amir Grinstein, Marina Puzakova, Marc Becker
article en

Abstract

Brands increasingly adopt two strategies in tandem: they use artificially intelligent agents, such as service robots, to more efficiently serve customers, and they engage in corporate social responsibility (CSR) activities to positively shape brand-related perceptions and behaviors. In this research, across four studies (including a pilot study, an online interaction with an AI-powered robot and three pre-registered studies, involving real and fictitious brands and intentional and actual behavior) we provide evidence for the notion that these two strategies are not necessarily compatible. We reveal the counterintuitive and nuanced finding that brands engaging in high fit CSR suffer more from the introduction of service robots than brands that engage in low fit CSR. This outcome is explained by a perceived lack of alignment in consumers’ attributions regarding brands’ motivations behind the two strategies, especially regarding the brand’s profit maximization intentions. We further identify two managerially actionable moderators. First, a communal service robot strategy can mitigate the negative impact of service robots in instances of high fit CSR. Second, a more communal CSR implementation (i.e., volunteering time compared to donating money) can lead to a negative impact of service robots also when a firm pursues a low fit CSR strategy.

Journal of Interactive Marketing
Openalex Percentile: Top 18%
AI in Service Interactions
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EXPRESS: Do Robots Serve Brands’ Socially Responsible Image? How Mixed Signals Shape Consumers’ Brand Preference and Engagement — Amir Grinstein, Marina Puzakova, et al. · Journal of Interactive Marketing (2025) | TGRS Research Map | TGRS