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Role of group cohesiveness in targeted mobile promotions

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  • Gupta, Reetika
  • Mukherjee, Sourjo
  • Jayarajah, Kasthuri

Abstract

While past research has explored the effects of different targeted promotion strategies (e.g., temporal, geographical, crowdedness-based), it is yet to take into account the effect of social context (e.g., group cohesiveness) on consumer responses to such promotions. We develop a metric for measuring tie-strengths between individuals in a co-located group and compute a holistic measure, group cohesiveness, from longitudinal physical location data. We deploy this new metric in a field experiment to explore the effect of group cohesiveness (high vs. low) on consumer responses to mobile promotions of varying lead-times. Across all our studies, we demonstrate that shorter promotion lead-times are preferred more by individuals in the presence of high cohesive groups (versus low cohesive groups). Thus, marketers should take advantage of social context attributes (such as group cohesiveness), which can be derived from ubiquitous location tracking data to tailor their promotion based on consumers’ real-time activities.

Suggested Citation

  • Gupta, Reetika & Mukherjee, Sourjo & Jayarajah, Kasthuri, 2021. "Role of group cohesiveness in targeted mobile promotions," Journal of Business Research, Elsevier, vol. 127(C), pages 216-227.
  • Handle: RePEc:eee:jbrese:v:127:y:2021:i:c:p:216-227
    DOI: 10.1016/j.jbusres.2021.01.030
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    References listed on IDEAS

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    1. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    2. Sharad Goel & Daniel G. Goldstein, 2014. "Predicting Individual Behavior with Social Networks," Marketing Science, INFORMS, vol. 33(1), pages 82-93, January.
    3. Bearden, William O & Rose, Randall L, 1990. "Attention to Social Comparison Information: An Individual Difference Factor Affecting Consumer Conformity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 461-471, March.
    4. De Bruyn, Arnaud & Lilien, Gary L., 2008. "A multi-stage model of word-of-mouth influence through viral marketing," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 151-163.
    5. Pan, Lee-Yun & Chiou, Jyh-Shen, 2011. "How Much Can You Trust Online Information? Cues for Perceived Trustworthiness of Consumer-generated Online Information," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 67-74.
    6. Chenxi Li & Xueming Luo & Cheng Zhang, 2017. "Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness," Marketing Science, INFORMS, vol. 36(5), pages 762-779, September.
    7. Pescher, Christian & Reichhart, Philipp & Spann, Martin, 2014. "Consumer Decision-making Processes in Mobile Viral Marketing Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 43-54.
    8. Mittal, Vikas & Huppertz, John W. & Khare, Adwait, 2008. "Customer complaining: The role of tie strength and information control," Journal of Retailing, Elsevier, vol. 84(2), pages 195-204.
    9. Kyeongheui Kim & Meng Zhang & Xiuping Li, 2008. "Effects of Temporal and Social Distance on Consumer Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(4), pages 706-713, August.
    10. Frenzen, Jonathan & Nakamoto, Kent, 1993. "Structure, Cooperation, and the Flow of Market Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 360-375, December.
    11. Lascu, Dana-Nicoleta & Bearden, William O. & Rose, Randall L., 1995. "Norm extremity and interpersonal influences on consumer conformity," Journal of Business Research, Elsevier, vol. 32(3), pages 201-212, March.
    12. Berman, Barry, 2016. "Planning and implementing effective mobile marketing programs," Business Horizons, Elsevier, vol. 59(4), pages 431-439.
    13. Hu, Miao & Chen, Jie & Chen, Qimei & He, Wei, 2020. "It pays off to be authentic: An examination of direct versus indirect brand mentions on social media," Journal of Business Research, Elsevier, vol. 117(C), pages 19-28.
    14. Jean-Pierre Dubé & Zheng Fang & Nathan Fong & Xueming Luo, 2017. "Competitive Price Targeting with Smartphone Coupons," Marketing Science, INFORMS, vol. 36(6), pages 944-975, November.
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