IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v127y2021icp216-227.html
   My bibliography  Save this article

Role of group cohesiveness in targeted mobile promotions

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296321000382
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2021.01.030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Sharad Goel & Daniel G. Goldstein, 2014. "Predicting Individual Behavior with Social Networks," Marketing Science, INFORMS, vol. 33(1), pages 82-93, January.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Berman, Barry, 2016. "Planning and implementing effective mobile marketing programs," Business Horizons, Elsevier, vol. 59(4), pages 431-439.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huang, Rui & Huang, Minxue & Zhao, Jing & Liu, Yuan, 2024. "Absence makes the heart grow fonder: The interactive effect of crowding information and spatial distance on consumers’ patronage intention," Journal of Business Research, Elsevier, vol. 176(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reetika Gupta & Sourjo Mukherjee & Kasthuri Jayarajah, 2021. "Role of group cohesiveness in targeted mobile promotions," Post-Print hal-03128025, HAL.
    2. Koch, Oliver Francis & Benlian, Alexander, 2015. "Promotional Tactics for Online Viral Marketing Campaigns: How Scarcity and Personalization Affect Seed Stage Referrals," Journal of Interactive Marketing, Elsevier, vol. 32(C), pages 37-52.
    3. 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.
    4. Robert W. Palmatier & Andrew T. Crecelius, 2019. "The “first principles” of marketing strategy," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 5-26, June.
    5. Sofie Bitter & Sonja Grabner-Kräuter, 2016. "Consequences of customer engagement behavior: when negative Facebook posts have positive effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 219-231, August.
    6. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
    7. Sunday C. Eze & Vera C. A. Chinedu-Eze & Hart O. Awa, 2021. "Key Success Factors (KSFs) Underlying the Adoption of Social Media Marketing Technology," SAGE Open, , vol. 11(2), pages 21582440211, April.
    8. Ketelaar, Paul E. & Bernritter, Stefan F. & van Woudenberg, Thabo J. & Rozendaal, Esther & Konig, Ruben P. & Hühn, Arief Ernst & Van Gisbergen, Marnix S. & Janssen, Loes, 2018. "“Opening” location-based mobile ads: How openness and location congruency of location-based ads weaken negative effects of intrusiveness on brand choice," Journal of Business Research, Elsevier, vol. 91(C), pages 277-285.
    9. Pescher, Christian & Spann, Martin, 2014. "Relevance of actors in bridging positions for product-related information diffusion," Journal of Business Research, Elsevier, vol. 67(8), pages 1630-1637.
    10. Donald R. Lehmann & Jeffrey R. Parker, 2017. "Disadoption," AMS Review, Springer;Academy of Marketing Science, vol. 7(1), pages 36-51, June.
    11. Sarah Gelper & Ralf van der Lans & Gerrit van Bruggen, 2021. "Competition for Attention in Online Social Networks: Implications for Seeding Strategies," Management Science, INFORMS, vol. 67(2), pages 1026-1047, February.
    12. Eggers, Fabian & Risselada, Hans & Niemand, Thomas & Robledo, Sebastian, 2022. "Referral campaigns for software startups: The impact of network characteristics on product adoption," Journal of Business Research, Elsevier, vol. 145(C), pages 309-324.
    13. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
    14. Huang, Rui & Huang, Minxue & Zhao, Jing & Liu, Yuan, 2024. "Absence makes the heart grow fonder: The interactive effect of crowding information and spatial distance on consumers’ patronage intention," Journal of Business Research, Elsevier, vol. 176(C).
    15. Zhang, Honghong & Fam, Kim-Shyan & Goh, Tiong-Thye & Dai, Xin, 2018. "When are influentials equally influenceable? The strength of strong ties in new product adoption," Journal of Business Research, Elsevier, vol. 82(C), pages 160-170.
    16. Shuiping Ding & Jie Lin & Zhenyu Zhang, 2020. "Influences of Reference Group on Users’ Purchase Intentions in Network Communities: From the Perspective of Trial Purchase and Upgrade Purchase," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    17. Youjae Yi & Seo Young Kim, 2017. "The role of other customers during self-service technology failure," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 695-715, December.
    18. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    19. Johannes Klumpe & Oliver Francis Koch & Alexander Benlian, 2020. "How pull vs. push information delivery and social proof affect information disclosure in location based services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 569-586, September.
    20. Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:127:y:2021:i:c:p:216-227. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.