IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v69y2022ics0969698922001813.html
   My bibliography  Save this article

Consequences of personalized product recommendations and price promotions in online grocery shopping

Author

Listed:
  • Hallikainen, Heli
  • Luongo, Milena
  • Dhir, Amandeep
  • Laukkanen, Tommi

Abstract

Shopping convenience can be turned into a competitive advantage for online grocery retailers. Consequently, we study how personalized product recommendations (recommendation agents) and price promotions (algorithmic pricing) compensate for the negative impact that consumer's perceived cognitive effort causes on loyalty. By default, the relationship from perceived cognitive efforts to attitudinal and behavioral loyalty is negative, yet these results demonstrate that personalized price promotions lessen the negative impact, while personalized product recommendations do not have such an influence. The findings contribute to a better understanding of personalized marketing activities in today's data-driven online grocery retailing.

Suggested Citation

  • Hallikainen, Heli & Luongo, Milena & Dhir, Amandeep & Laukkanen, Tommi, 2022. "Consequences of personalized product recommendations and price promotions in online grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
  • Handle: RePEc:eee:joreco:v:69:y:2022:i:c:s0969698922001813
    DOI: 10.1016/j.jretconser.2022.103088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698922001813
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2022.103088?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. Yoo, Chul Woo & Goo, Jahyun & Huang, C. Derrick & Nam, Kichan & Woo, Mina, 2017. "Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 330-341.
    2. Milioti, Christina & Pramatari, Katerina & Kelepouri, Ioanna, 2020. "Modelling consumers’ acceptance for the click and collect service," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    3. Mosteller, Jill & Donthu, Naveen & Eroglu, Sevgin, 2014. "The fluent online shopping experience," Journal of Business Research, Elsevier, vol. 67(11), pages 2486-2493.
    4. Kumar, V. & Pozza, Ilaria Dalla & Ganesh, Jaishankar, 2013. "Revisiting the Satisfaction–Loyalty Relationship: Empirical Generalizations and Directions for Future Research," Journal of Retailing, Elsevier, vol. 89(3), pages 246-262.
    5. Klaus E Meyer & Arjen Witteloostuijn & Sjoerd Beugelsdijk, 2017. "What’s in a p? Reassessing best practices for conducting and reporting hypothesis-testing research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(5), pages 535-551, July.
    6. Ray, Arghya & Dhir, Amandeep & Bala, Pradip Kumar & Kaur, Puneet, 2019. "Why do people use food delivery apps (FDA)? A uses and gratification theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 221-230.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Liu-Thompkins, Yuping & Khoshghadam, Leila & Attar Shoushtari, Arjang & Zal, Saeed, 2022. "What drives retailer loyalty? A meta-analysis of the role of cognitive, affective, and social factors across five decades," Journal of Retailing, Elsevier, vol. 98(1), pages 92-110.
    9. Gauri, Dinesh Kumar & Trivedi, Minakshi & Grewal, Dhruv, 2008. "Understanding the Determinants of Retail Strategy: An Empirical Analysis," Journal of Retailing, Elsevier, vol. 84(3), pages 256-267.
    10. Shugan, Steven M, 1980. "The Cost of Thinking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 99-111, Se.
    11. Ampadu, Seth & Jiang, Yuanchun & Debrah, Emmanuel & Antwi, Collins Opoku & Amankwa, Eric & Gyamfi, Samuel Adu & Amoako, Richard, 2022. "Online personalized recommended product quality and e-impulse buying: A conditional mediation analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    12. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    13. Shankar, Amit & Jain, Sheetal, 2021. "Factors affecting luxury consumers’ webrooming intention: A moderated-mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    14. Kondo, Fumiyo N. & Okubo, Taishi, 2022. "Understanding multi-channel consumer behavior: A comparison between segmentations of multi-channel purchases by product category and overall products," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    15. Srivastava, Abhishek & Bala, Pradip Kumar & Kumar, Bipul, 2020. "New perspectives on gray sheep behavior in E-commerce recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    16. Nöjd, Sture & Trischler, Jessica Westman & Otterbring, Tobias & Andersson, Pernille K. & Wästlund, Erik, 2020. "Bridging the valuescape with digital technology: A mixed methods study on customers’ value creation process in the physical retail space," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    17. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
    18. Sea-Jin Chang & Arjen van Witteloostuijn & Lorraine Eden, 2010. "From the Editors: Common method variance in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 178-184, February.
    19. Nastasoiu, Alina & Vandenbosch, Mark, 2019. "Competing with loyalty: How to design successful customer loyalty reward programs," Business Horizons, Elsevier, vol. 62(2), pages 207-214.
    20. Tyrväinen, Olli & Karjaluoto, Heikki & Saarijärvi, Hannu, 2020. "Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    21. Sriram Thirumalai & Kingshuk K. Sinha, 2013. "To Personalize or Not to Personalize Online Purchase Interactions: Implications of Self-Selection by Retailers," Information Systems Research, INFORMS, vol. 24(3), pages 683-708, September.
    22. Tandon, Anushree & Kaur, Puneet & Bhatt, Yogesh & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Why do people purchase from food delivery apps? A consumer value perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    23. Martin, William C. & Ponder, Nicole & Lueg, Jason E., 2009. "Price fairness perceptions and customer loyalty in a retail context," Journal of Business Research, Elsevier, vol. 62(6), pages 588-593, June.
    24. Chen, Shiuann-Shuoh & Choubey, Bhaskar & Singh, Vinay, 2021. "A neural network based price sensitive recommender model to predict customer choices based on price effect," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    25. Villanova, Daniel & Bodapati, Anand V. & Puccinelli, Nancy M. & Tsiros, Michael & Goodstein, Ronald C. & Kushwaha, Tarun & Suri, Rajneesh & Ho, Henry & Brandon, Renee & Hatfield, Cheryl, 2021. "Retailer Marketing Communications in the Digital Age: Getting the Right Message to the Right Shopper at the Right Time," Journal of Retailing, Elsevier, vol. 97(1), pages 116-132.
    26. Kelly L. Haws & William O. Bearden, 2006. "Dynamic Pricing and Consumer Fairness Perceptions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(3), pages 304-311, October.
    27. Singh, Reema & Rosengren, Sara, 2020. "Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    28. John Hulland & Hans Baumgartner & Keith Marion Smith, 2018. "Marketing survey research best practices: evidence and recommendations from a review of JAMS articles," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 92-108, January.
    29. Lambillotte, Laetitia & Magrofuoco, Nathan & Poncin, Ingrid & Vanderdonckt, Jean, 2022. "Enhancing playful customer experience with personalization," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    30. Kingsley, Allison F. & Noordewier, Thomas G. & Vanden Bergh, Richard G., 2017. "Overstating and understating interaction results in international business research," Journal of World Business, Elsevier, vol. 52(2), pages 286-295.
    31. Montgomery, Alan L. & Smith, Michael D., 2009. "Prospects for Personalization on the Internet," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 130-137.
    32. Otterbring, Tobias & Wästlund, Erik & Gustafsson, Anders & Shams, Poja, 2014. "Vision (im)possible? The effects of in-store signage on customers’ visual attention," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 676-684.
    33. Harris, Patricia & Dall’Olmo Riley, Francesca & Hand, Chris, 2021. "Multichannel shopping: The effect of decision making style on shopper journey configuration and satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    34. Rahman, Syed Mahmudur & Carlson, Jamie & Gudergan, Siegfried P. & Wetzels, Martin & Grewal, Dhruv, 2022. "Perceived Omnichannel Customer Experience (OCX): Concept, measurement, and impact," Journal of Retailing, Elsevier, vol. 98(4), pages 611-632.
    35. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    36. Behera, Rajat Kumar & Gunasekaran, Angappa & Gupta, Shivam & Kamboj, Shampy & Bala, Pradip Kumar, 2020. "Personalized digital marketing recommender engine," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    37. Jebarajakirthy, Charles & Das, Manish & Shah, Dhara & Shankar, Amit, 2021. "Deciphering in-store-online switching in multi-channel retailing context: Role of affective commitment to purchase situation," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    38. Guha, Abhijit & Grewal, Dhruv & Kopalle, Praveen K. & Haenlein, Michael & Schneider, Matthew J. & Jung, Hyunseok & Moustafa, Rida & Hegde, Dinesh R. & Hawkins, Gary, 2021. "How artificial intelligence will affect the future of retailing," Journal of Retailing, Elsevier, vol. 97(1), pages 28-41.
    39. Agarwal, Reeti & Mehrotra, Ankit & Misra, Dheeraj, 2022. "Customer happiness as a function of perceived loyalty program benefits - A quantile regression approach," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    40. Brambor, Thomas & Clark, William Roberts & Golder, Matt, 2006. "Understanding Interaction Models: Improving Empirical Analyses," Political Analysis, Cambridge University Press, vol. 14(1), pages 63-82, January.
    41. Otterbring, Tobias & Wästlund, Erik & Gustafsson, Anders, 2016. "Eye-tracking customers' visual attention in the wild: Dynamic gaze behavior moderates the effect of store familiarity on navigational fluency," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 165-170.
    42. Hallikainen, Heli & Alamäki, Ari & Laukkanen, Tommi, 2019. "Individual preferences of digital touchpoints: A latent class analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 386-393.
    43. Nesset, Erik & Bergem, Ola & Nervik, Bjørn & Schiøll Sørlie, Even & Helgesen, Øyvind, 2021. "Building chain loyalty in grocery retailing by means of loyalty programs – A study of ‘the Norwegian case’," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    44. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    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. Dey, Bikash Koli & Sarkar, Mitali & Chaudhuri, Kripasindhu & Sarkar, Biswajit, 2023. "Do you think that the home delivery is good for retailing?," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    2. Guo, Wenhao & Tian, Jin & Li, Minqiang, 2023. "Price-aware enhanced dynamic recommendation based on deep learning," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Guo, Wenshan & Luo, Qiangqiang, 2023. "Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. Degutis, Mindaugas & UrbonaviÄ ius, Sigitas & Hollebeek, Linda D. & Anselmsson, Johan, 2023. "Consumers’ willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    5. Agarwal, Reeti & Mehrotra, Ankit & Sharma, Veenu & Papa, Armando & Malibari, Areej, 2023. "Over-the-top (OTT) retailing in the post pandemic world. Unveiling consumer drivers and barriers using a qualitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 75(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. Muthaffar, Aisha & Vilches-Montero, Sonia, 2023. "Empowering retailers: A bounded rationality perspective to enhancing omnichannel journey satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Shankar, Amit & Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Sharma, Piyush, 2022. "Balancing food waste and sustainability goals in online food delivery: Towards a comprehensive conceptual framework," Technovation, Elsevier, vol. 117(C).
    3. Agarwal, Reeti & Mehrotra, Ankit & Sharma, Veenu & Papa, Armando & Malibari, Areej, 2023. "Over-the-top (OTT) retailing in the post pandemic world. Unveiling consumer drivers and barriers using a qualitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Lambillotte, Laetitia & Magrofuoco, Nathan & Poncin, Ingrid & Vanderdonckt, Jean, 2022. "Enhancing playful customer experience with personalization," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    5. Murray, Kyle B. & Häubl, Gerald, 2009. "Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 138-146.
    6. Beugelsdijk, Sjoerd & Nell, Phillip C. & Ambos, Björn, 2017. "When Do Distance Effects Become Empirically Observable? An Investigation in the Context of Headquarters Value Creation for Subsidiaries," Journal of International Management, Elsevier, vol. 23(3), pages 255-267.
    7. Christian Schwens & Florian B Zapkau & Keith D Brouthers & Lina Hollender, 2018. "Limits to international entry mode learning in SMEs," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(7), pages 809-831, September.
    8. Ben Mimoun, Mohamed Slim & Lancelot Miltgen, Caroline & Slama, Boulbeba, 2022. "Is the shopper always the king/queen? Study of omnichannel retail technology use and shopping orientations," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    9. Keller, Alisa & Vogelsang, Mila & Totzek, Dirk, 2022. "How displaying price discounts can mitigate negative customer reactions to dynamic pricing," Journal of Business Research, Elsevier, vol. 148(C), pages 277-291.
    10. Tomczyk, Arkadiusz T. & Buhalis, Dimitrios & Fan, Daisy X.F. & Williams, Nigel L., 2022. "Price-personalization: Customer typology based on hospitality business," Journal of Business Research, Elsevier, vol. 147(C), pages 462-476.
    11. Mwesiumo, Deodat & Glavee-Geo, Richard & Olsen, Kjetil Magnus & Svenning, Geir Arne, 2021. "Improving public purchaser attitudes towards public procurement of innovations," Technovation, Elsevier, vol. 101(C).
    12. Kumar, Aman & Shankar, Amit & Behl, Abhishek & Arya, Varsha & Gupta, Nakul, 2023. "Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    13. Miao, Xiaoyu & Niu, Ben & Yang, Congcong & Feng, Yuanyue, 2023. "Examining the gamified effect of the blindbox design: The moderating role of price," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    14. André de Abreu Saraiva Monteiro Alves & Fernando Manuel Pereira de Oliveira Carvalho, 2022. "How Dynamic Managerial Capabilities, Entrepreneurial Orientation, and Operational Capabilities Impact Microenterprises’ Global Performance," Sustainability, MDPI, vol. 15(1), pages 1-23, December.
    15. Simplice Asongu & Ndemaze Asongu, 2018. "The comparative exploration of mobile money services in inclusive development," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(1), pages 124-139, January.
    16. Bita Hajihashemi & Amin Sayedi & Jeffrey D. Shulman, 2022. "The Perils of Personalized Pricing with Network Effects," Marketing Science, INFORMS, vol. 41(3), pages 477-500, May.
    17. Simplice A. Asongu & Nicholas M. Odhiambo, 2023. "Female unemployment, mobile money innovations and doing business by females," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-26, December.
    18. Gavan J. Fitzsimons & Donald R. Lehmann, 2004. "Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses," Marketing Science, INFORMS, vol. 23(1), pages 82-94, September.
    19. Jiménez, Alfredo & Salvaj, Erica & Lee, Jeoung Yul, 2018. "Policy risk, distance, and private participation projects in Latin America," Journal of Business Research, Elsevier, vol. 88(C), pages 123-131.
    20. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.

    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:joreco:v:69:y:2022:i:c:s0969698922001813. 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: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.