IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v191y2023ics0040162523001993.html
   My bibliography  Save this article

Mobile-assisted showrooming behavior and the (r)evolution of retail: The moderating effect of gender on the adoption of mobile augmented reality

Author

Listed:
  • Alesanco-Llorente, María
  • Reinares-Lara, Eva
  • Pelegrín-Borondo, Jorge
  • Olarte-Pascual, Cristina

Abstract

The intensive use of smartphones at physical stores has given rise to an increasingly common behavior among omnichannel consumers known as mobile-assisted showrooming (MAS). One of the technologies with the greatest capacity to engage MAS consumers at brick-and-mortar stores is mobile augmented reality (MAR). Studying this combination of customer technology (smartphone) and store technology (MAR) is thus key to reviving physical retail. In this context, this paper tests a Cognitive-Affective-Normative model to explain the intention of MAS consumers to use MAR in a physical store and analyze the moderating effect of gender on this relationship. The model is tested on a sample of 388 MAS men and 417 MAS women. The results show that the main antecedents for MAS men come from the model's cognitive dimension (“performance expectancy,” “effort expectancy”), while MAS women's acceptance is most conditioned by the cognitive dimension (“performance expectancy”) and normative dimension (“social influence”). These findings have theoretical implications for reviving the physical retail sector taking gender differences into account.

Suggested Citation

  • Alesanco-Llorente, María & Reinares-Lara, Eva & Pelegrín-Borondo, Jorge & Olarte-Pascual, Cristina, 2023. "Mobile-assisted showrooming behavior and the (r)evolution of retail: The moderating effect of gender on the adoption of mobile augmented reality," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523001993
    DOI: 10.1016/j.techfore.2023.122514
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523001993
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122514?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. Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2. J.J. Brakus & B.H. Schmitt & L. Zarantonello, 2009. "Brand Experience: What Is It? How Do We Measure It? And Does It Affect Loyalty?," Post-Print hal-00799102, HAL.
    3. Ana Mosquera & Emma Juaneda-Ayensa & Cristina Olarte-Pascual & Jorge Pelegrín-Borondo, 2018. "Key Factors for In-Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials," Complexity, Hindawi, vol. 2018, pages 1-14, November.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Frasquet, Marta & Miquel-Romero, Maria-Jose, 2021. "Competitive (versus loyal) showrooming: An application of the push-pull-mooring framework," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    6. Flavián, Carlos & Ibáñez-Sánchez, Sergio & Orús, Carlos, 2019. "The impact of virtual, augmented and mixed reality technologies on the customer experience," Journal of Business Research, Elsevier, vol. 100(C), pages 547-560.
    7. Ogunjimi, Ayotunde & Rahman, Mizan & Islam, Nazrul & Hasan, Rajibul, 2021. "Smart mirror fashion technology for the retail chain transformation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Beck, Marie & Crié, Dominique, 2018. "I virtually try it … I want it ! Virtual Fitting Room: A tool to increase on-line and off-line exploratory behavior, patronage and purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 279-286.
    9. Poushneh, Atieh, 2018. "Augmented reality in retail: A trade-off between user's control of access to personal information and augmentation quality," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 169-176.
    10. Berman, Barry, 2019. "Flatlined: Combatting the death of retail stores," Business Horizons, Elsevier, vol. 62(1), pages 75-82.
    11. Qin, Hong & Peak, Daniel Alan & Prybutok, Victor, 2021. "A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making?," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    12. Kokho Sit, Jason & Hoang, Anna & Inversini, Alessandro, 2018. "Showrooming and retail opportunities: A qualitative investigation via a consumer-experience lens," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 163-174.
    13. Suzanne L. Conner & James Reardon & Chip Miller & Laura Salciuviene & Vilte Auruskeviciene, 2017. "Cultural antecedents to the normative, affective, and cognitive effects of domestic versus foreign purchase behavior," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 100-115, January.
    14. Francesca Bonetti & Gary Warnaby & Lee Quinn, 2018. "Augmented Reality and Virtual Reality in Physical and Online Retailing: A Review, Synthesis and Research Agenda," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck (ed.), Augmented Reality and Virtual Reality, pages 119-132, Springer.
    15. Dacko, Scott G., 2017. "Enabling smart retail settings via mobile augmented reality shopping apps," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 243-256.
    16. 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.
    17. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    18. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    19. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    20. Schneider, Patricia J. & Zielke, Stephan, 2020. "Searching offline and buying online – An analysis of showrooming forms and segments," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    21. Lim, Xin-Jean & Cheah, Jun-Hwa & Ng, Siew Imm & Kamal Basha, Norazlyn & Liu, Yide, 2021. "Are men from Mars, women from Venus? Examining gender differences towards continuous use intention of branded apps," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    22. Fiestas, Jorge Carlos & Tuzovic, Sven, 2021. "Mobile-assisted showroomers: Understanding their purchase journey and personalities," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    23. Rese, Alexandra & Baier, Daniel & Geyer-Schulz, Andreas & Schreiber, Stefanie, 2017. "How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 306-319.
    24. Willems, Kim & Smolders, Annelien & Brengman, Malaika & Luyten, Kris & Schöning, Johannes, 2017. "The path-to-purchase is paved with digital opportunities: An inventory of shopper-oriented retail technologies," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 228-242.
    25. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    26. von Briel, Frederik, 2018. "The future of omnichannel retail: A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 217-229.
    27. Flavián, Carlos & Gurrea, Raquel & Orús, Carlos, 2020. "Combining channels to make smart purchases: The role of webrooming and showrooming," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    Full references (including those not matched with items on IDEAS)

    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. Hsu, Sheila Hsuan-Yu & Tsou, Hung-Tai & Chen, Ja-Shen, 2021. "“Yes, we do. Why not use augmented reality?†customer responses to experiential presentations of AR-based applications," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    2. Jayaswal, Pragya & Parida, Biswajita, 2023. "The role of augmented reality in redefining e-tailing: A review and research agenda," Journal of Business Research, Elsevier, vol. 160(C).
    3. Stefan Hoffmann & Tom Joerß & Robert Mai & Payam Akbar, 2022. "Augmented reality-delivered product information at the point of sale: when information controllability backfires," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 743-776, July.
    4. Holdack, Eric & Lurie-Stoyanov, Katja & Fromme, Harro Fabian, 2022. "The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    5. Luis-Edwin Chimborazo-Azogue & Marta Frasquet & Alejandro Molla-Descals & Maria-Jose Miquel-Romero, 2021. "Understanding Mobile Showrooming Based on a Technology Acceptance and Use Model," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    6. Arghashi, Vahideh & Yuksel, Cenk Arsun, 2022. "Interactivity, Inspiration, and Perceived Usefulness! How retailers’ AR-apps improve consumer engagement through flow," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    7. Alexander, Bethan & Kent, Anthony, 2022. "Change in technology-enabled omnichannel customer experiences in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    8. Serravalle, Francesca & Vanheems, Régine & Viassone, Milena, 2023. "Does product involvement drive consumer flow state in the AR environment? A study on behavioural responses," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    9. Qin, Hong & Osatuyi, Babajide & Xu, Lu, 2021. "How mobile augmented reality applications affect continuous use and purchase intentions: A cognition-affect-conation perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    10. Kowalczuk, Pascal & Siepmann (née Scheiben), Carolin & Adler, Jost, 2021. "Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study," Journal of Business Research, Elsevier, vol. 124(C), pages 357-373.
    11. Ogunjimi, Ayotunde & Rahman, Mizan & Islam, Nazrul & Hasan, Rajibul, 2021. "Smart mirror fashion technology for the retail chain transformation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Carsten D. Schultz & Björn Gorlas, 2023. "Magic mirror on the wall: Cross-buying at the point of sale," Electronic Commerce Research, Springer, vol. 23(3), pages 1677-1700, September.
    13. 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.
    14. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    15. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    16. Fan, Xiaojun & Chai, Zeli & Deng, Nianqi & Dong, Xuebing, 2020. "Adoption of augmented reality in online retailing and consumers’ product attitude: A cognitive perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    17. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    18. Gong, Taeshik & Park, JungKun, 2023. "Effects of augmented reality technology characteristics on customer citizenship behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    19. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    20. 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.

    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:tefoso:v:191:y:2023:i:c:s0040162523001993. 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.sciencedirect.com/science/journal/00401625 .

    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.