IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v270y2018i1d10.1007_s10479-016-2276-3.html
   My bibliography  Save this article

Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes

Author

Listed:
  • John A. Aloysius

    (University of Arkansas)

  • Hartmut Hoehle

    (University of Arkansas)

  • Soheil Goodarzi

    (University of Arkansas)

  • Viswanath Venkatesh

    (University of Arkansas)

Abstract

Given the enormous amount of data created through customers’ transactions in retail stores, it comes as no surprise that retailers are actively seeking initiatives to leverage big data and offer their customers superior services that provide mutual, previously unattainable benefits. Nonetheless, fulfilment of such a strategic aim requires customers to adopt and embrace emerging technology-driven services. Exploring customers’ perceptions of such big data initiatives in retail environments, we develop a model examining the effects of technology enablers and privacy concerns on critical shopping outcomes including repatronage intentions, store image, and intention to use medium in the context of recently identified service configurations. We conduct an exploratory study to understand customers’ reactions toward emerging shopping scenarios and to enhance our survey instrument and then conduct an online survey (n = 442) to test our model. We found that customers’ usefulness perceptions of emerging services positively affected their intentions to use medium, and that their privacy concerns about the amounts of personal information, being collected through emerging services, negatively affected their repatronage intentions and store image. We discuss the implications of our work for research and practice.

Suggested Citation

  • John A. Aloysius & Hartmut Hoehle & Soheil Goodarzi & Viswanath Venkatesh, 2018. "Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes," Annals of Operations Research, Springer, vol. 270(1), pages 25-51, November.
    • Handle: RePEc:spr:annopr:v:270:y:2018:i:1:d:10.1007_s10479-016-2276-3
    DOI: 10.1007/s10479-016-2276-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-016-2276-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-016-2276-3?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. Ramnath K. Chellappa & Shivendu Shivendu, 2010. "Mechanism Design for "Free" but "No Free Disposal" Services: The Economics of Personalization Under Privacy Concerns," Management Science, INFORMS, vol. 56(10), pages 1766-1780, October.
    2. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    3. Gang Kou & Chunwei Lou, 2012. "Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data," Annals of Operations Research, Springer, vol. 197(1), pages 123-134, August.
    4. Weiwei Chen & Jie Song & Leyuan Shi & Liang Pi & Peter Sun, 2013. "Data mining-based dispatching system for solving the local pickup and delivery problem," Annals of Operations Research, Springer, vol. 203(1), pages 351-370, March.
    5. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    6. Editors The, 2008. "From the Editors," Basic Income Studies, De Gruyter, vol. 3(1), pages 1-1, July.
    7. Nihat Altintas & Michael Trick, 2014. "A data mining approach to forecast behavior," Annals of Operations Research, Springer, vol. 216(1), pages 3-22, May.
    8. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    9. Michail Chronopoulos & Afzal Siddiqui, 2015. "When is it better to wait for a new version? Optimal replacement of an emerging technology under uncertainty," Annals of Operations Research, Springer, vol. 235(1), pages 177-201, December.
    10. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    12. Chongwatpol, Jongsawas, 2015. "Integration of RFID and business analytics for trade show exhibitors," European Journal of Operational Research, Elsevier, vol. 244(2), pages 662-673.
    13. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    14. Mary J. Culnan & Pamela K. Armstrong, 1999. "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation," Organization Science, INFORMS, vol. 10(1), pages 104-115, February.
    15. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    16. Editors The, 2008. "From the Editors," Basic Income Studies, De Gruyter, vol. 2(2), pages 1-3, January.
    17. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    18. Tamara Dinev & Allen R. McConnell & H. Jeff Smith, 2015. "Research Commentary—Informing Privacy Research Through Information Systems, Psychology, and Behavioral Economics: Thinking Outside the “APCO” Box," Information Systems Research, INFORMS, vol. 26(4), pages 639-655, December.
    19. Susan A. Brown, 2008. "Household technology adoption, use, and impacts: Past, present, and future," Information Systems Frontiers, Springer, vol. 10(4), pages 397-402, September.
    20. Viswanath Venkatesh & Ritu Agarwal, 2006. "Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels," Management Science, INFORMS, vol. 52(3), pages 367-382, March.
    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. Shankar, Venkatesh & Kalyanam, Kirthi & Setia, Pankaj & Golmohammadi, Alireza & Tirunillai, Seshadri & Douglass, Tom & Hennessey, John & Bull, J.S. & Waddoups, Rand, 2021. "How Technology is Changing Retail," Journal of Retailing, Elsevier, vol. 97(1), pages 13-27.
    2. Benjamin Barann & Jan H. Betzing & Marco Niemann & Benedikt Hoffmeister & Jörg Becker, 2022. "Exploring customers’ likeliness to use e-service touchpoints in brick and mortar retail," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 523-545, June.
    3. Ying, Song & Sindakis, Stavros & Aggarwal, Sakshi & Chen, Charles & Su, Jiafu, 2021. "Managing big data in the retail industry of Singapore: Examining the impact on customer satisfaction and organizational performance," European Management Journal, Elsevier, vol. 39(3), pages 390-400.
    4. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2020. "Revisiting customer analytics capability for data-driven retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. Maya Vachkova & Arsalan Ghouri & Haidy Ashour & Normalisa Binti Md Isa & Gregory Barnes, 2023. "Big data and predictive analytics and Malaysian micro-, small and medium businesses," SN Business & Economics, Springer, vol. 3(8), pages 1-28, August.
    6. Michael Roe & Konstantina Spanaki & Athina Ioannou & Efpraxia Zamani & Mihalis Giannakis, 2022. "Drivers and challenges of internet of things diffusion in smart stores: A field exploration," Post-Print hal-03599486, HAL.
    7. Aversa, Joseph & Hernandez, Tony & Doherty, Sean, 2021. "Incorporating big data within retail organizations: A case study approach," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    8. Tanzeela AQIF & Abdul WAHAB, 2022. "Reshaping The Future Of Retail Marketing Through Big Data: A Review From 2009 To 2022," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(3), pages 5-24, September.
    9. Roe, Michael & Spanaki, Konstantina & Ioannou, Athina & Zamani, Efpraxia D. & Giannakis, Mihalis, 2022. "Drivers and challenges of internet of things diffusion in smart stores: A field exploration," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    10. Di Wang & Weihua Liu & Yanjie Liang & Shuang Wei, 2023. "Decision optimization in service supply chain: the impact of demand and supply-driven data value and altruistic behavior," Annals of Operations Research, Springer, vol. 324(1), pages 971-992, May.
    11. Gong, Taeshik & Wang, Chen-Ya & Lee, Kangcheol, 2022. "Effects of characteristics of in-store retail technology on customer citizenship behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 65(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. Hoon S. Cha & Jong Hyun Wi & Chanhi Park & Taeha Kim, 2021. "Sustainability Calculus in Adopting Smart Speakers—Personalized Services and Privacy Risks," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    2. Nils Koester & Patrick Cichy & David Antons & Torsten Oliver Salge, 2022. "Perceived privacy risk in the Internet of Things: determinants, consequences, and contingencies in the case of connected cars," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2333-2355, December.
    3. Tawfiq Alashoor & Mark Keil & H. Jeff Smith & Allen R. McConnell, 2023. "Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1415-1436, December.
    4. Helia Marreiros & Mirco Tonin & Michael Vlassopoulos & M.C. Schraefel, 2016. "“Now that you mention it”: A Survey Experiment on Information, Salience and Online Privacy," BEMPS - Bozen Economics & Management Paper Series BEMPS34, Faculty of Economics and Management at the Free University of Bozen.
    5. Morlok, Tina & Matt, Christian & Hess, Thomas, 2017. "Privatheitsforschung in den Wirtschaftswissenschaften: Entwicklung, Stand und Perspektiven," Working Papers 1/2017, University of Munich, Munich School of Management, Institute for Information Systems and New Media.
    6. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    7. Plangger, Kirk & Montecchi, Matteo, 2020. "Thinking Beyond Privacy Calculus: Investigating Reactions to Customer Surveillance," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 32-44.
    8. Caroline Lancelot Miltgen & H. Jeff Smith, 2019. "Falsifying and withholding: exploring individuals’ contextual privacy-related decision-making," Post-Print hal-02156671, HAL.
    9. Jaspers, Esther D.T. & Pearson, Erika, 2022. "Consumers’ acceptance of domestic Internet-of-Things: The role of trust and privacy concerns," Journal of Business Research, Elsevier, vol. 142(C), pages 255-265.
    10. Shaw, Norman & Sergueeva, Ksenia, 2019. "The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value," International Journal of Information Management, Elsevier, vol. 45(C), pages 44-55.
    11. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    12. Marreiros, Helia & Tonin, Mirco & Vlassopoulos, Michael & Schraefel, M.C., 2017. "“Now that you mention it”: A survey experiment on information, inattention and online privacy," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 1-17.
    13. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 2018. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 20(1), pages 91-110, February.
    14. Corey Angst, 2009. "Protect My Privacy or Support the Common-Good? Ethical Questions About Electronic Health Information Exchanges," Journal of Business Ethics, Springer, vol. 90(2), pages 169-178, November.
    15. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    16. David Harborth & Sebastian Pape, 2020. "Empirically Investigating Extraneous Influences on the “APCO” Model—Childhood Brand Nostalgia and the Positivity Bias," Future Internet, MDPI, vol. 12(12), pages 1-16, December.
    17. Grace Fox & Lisa van der Werff & Pierangelo Rosati & Patricia Takako Endo & Theo Lynn, 2022. "Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: An extended privacy calculus perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 944-967, July.
    18. Sun, Shiwei & Zhang, Jin & Zhu, Yiwei & Jiang, Mian & Chen, Shuhui, 2022. "Exploring users' willingness to disclose personal information in online healthcare communities: The role of satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    19. Fast, Victoria & Sachs, Nikolai & Schnurr, Daniel, 2021. "Privacy Decision-Making in Digital Markets: Eliciting Individuals' Preferences for Transparency," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238020, International Telecommunications Society (ITS).
    20. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.

    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:spr:annopr:v:270:y:2018:i:1:d:10.1007_s10479-016-2276-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.