IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v55y2020ics0969698920300825.html
   My bibliography  Save this article

Understanding the inhibitors to consumer mobile purchasing intentions

Author

Listed:
  • Sohn, Stefanie
  • Groß, Michael

Abstract

Consumers frequently browse online stores via mobile (m-) channels but seldom realize transactions through m-channels. Although this m-purchasing yields an attractive growth opportunity for online retailers, existing research still insufficiently explains m-purchasing (intentions). Hence, this research develops and empirically tests a model of m-purchasing intention. This study's findings suggest that both task-related (e.g., perceived security risk of m-purchasing) and m-channel-related (e.g., perceived security risk of m-channels) factors inhibit consumers' decision to use m-channels for online transactions. Prior experiences with m-purchasing moderate the effect of perceived m-purchasing security risk on m-purchasing intention; the effect is stronger for experienced than for inexperienced consumers.

Suggested Citation

  • Sohn, Stefanie & Groß, Michael, 2020. "Understanding the inhibitors to consumer mobile purchasing intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    • Handle: RePEc:eee:joreco:v:55:y:2020:i:c:s0969698920300825
    DOI: 10.1016/j.jretconser.2020.102129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698920300825
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2020.102129?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. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    2. Kim, Mingyung & Kim, Jeeyeon & Choi, Jeonghye & Trivedi, Minakshi, 2017. "Mobile Shopping Through Applications: Understanding Application Possession and Mobile Purchase," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 55-68.
    3. Oliver, Richard L. & Winer, Russell S., 1987. "A framework for the formation and structure of consumer expectations: Review and propositions," Journal of Economic Psychology, Elsevier, vol. 8(4), pages 469-499, December.
    4. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    5. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    6. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    7. Brian P. Cozzarin & Stanko Dimitrov, 2016. "Mobile commerce and device specific perceived risk," Electronic Commerce Research, Springer, vol. 16(3), pages 335-354, September.
    8. Groß, Michael, 2016. "Impediments to mobile shopping continued usage intention: A trust-risk-relationship," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 109-119.
    9. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    10. Gupta, Anil & Arora, Neelika, 2017. "Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 1-7.
    11. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    12. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    13. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, September.
    14. Wagner, Gerhard & Schramm-Klein, Hanna & Steinmann, Sascha, 2020. "Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment," Journal of Business Research, Elsevier, vol. 107(C), pages 256-270.
    15. Wang, Rebecca Jen-Hui & Malthouse, Edward C. & Krishnamurthi, Lakshman, 2015. "On the Go: How Mobile Shopping Affects Customer Purchase Behavior," Journal of Retailing, Elsevier, vol. 91(2), pages 217-234.
    16. Tojib, Dewi & Tsarenko, Yelena, 2012. "Post-adoption modeling of advanced mobile service use," Journal of Business Research, Elsevier, vol. 65(7), pages 922-928.
    17. Fuentes, Christian & Svingstedt, Anette, 2017. "Mobile phones and the practice of shopping: A study of how young adults use smartphones to shop," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 137-146.
    18. 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.
    19. Darden, William R. & Dorsch, Michael J., 1990. "An action strategy approach to examining shopping behavior," Journal of Business Research, Elsevier, vol. 21(3), pages 289-308, November.
    20. 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.
    21. Liu, Huan & Lobschat, Lara & Verhoef, Peter C. & Zhao, Hong, 2019. "App Adoption: The Effect on Purchasing of Customers Who Have Used a Mobile Website Previously," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 16-34.
    22. Groß, Michael, 2018. "Heterogeneity in consumers’ mobile shopping acceptance: A finite mixture partial least squares modelling approach for exploring and characterising different shopper segments," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 8-18.
    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. Mihai Andronie & George Lãzãroiu & Roxana ?tefãnescu & Lumini?a Ionescu & Mãdãlina Coco?atu, 2021. "Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps," Oeconomia Copernicana, Institute of Economic Research, vol. 12(4), pages 1033-1062, December.
    2. Rayburn, Steven W. & Anderson, Sidney T. & Zank, Gail M. & McDonald, Imani, 2022. "M-atmospherics: From the physical to the digital," Journal of Retailing and Consumer Services, Elsevier, vol. 64(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. Hou, Jianwei & Elliott, Kevin, 2021. "Mobile shopping intensity: Consumer demographics and motivations," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    2. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    3. Iranmanesh, Mohammad & Min, Connie Low & Senali, Madugoda Gunaratnege & Nikbin, Davoud & Foroughi, Behzad, 2022. "Determinants of switching intention from web-based stores to retail apps: Habit as a moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    4. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    5. Patel, Vipul & Das, Kallol & Chatterjee, Ravi & Shukla, Yupal, 2020. "Does the interface quality of mobile shopping apps affect purchase intention? An empirical study," Australasian marketing journal, Elsevier, vol. 28(4), pages 300-309.
    6. Groß, Michael, 2018. "Mobile shopping loyalty: The salient moderating role of normative and functional compatibility beliefs," Technology in Society, Elsevier, vol. 55(C), pages 146-159.
    7. Brusch, Ines & Rappel, Nina, 2020. "Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    8. Luceri, Beatrice & (Tammo) Bijmolt, T.H.A. & Bellini, Silvia & Aiolfi, Simone, 2022. "What drives consumers to shop on mobile devices? Insights from a Meta-Analysis," Journal of Retailing, Elsevier, vol. 98(1), pages 178-196.
    9. Rayburn, Steven W. & Anderson, Sidney T. & Zank, Gail M. & McDonald, Imani, 2022. "M-atmospherics: From the physical to the digital," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    10. Molinillo, Sebastian & Navarro-García, Antonio & Anaya-Sánchez, Rafael & Japutra, Arnold, 2020. "The impact of affective and cognitive app experiences on loyalty towards retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    11. Chopdar, Prasanta Kr & Paul, Justin & Prodanova, Jana, 2022. "Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: Does social influence matter?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Bailey, Ainsworth Anthony & Bonifield, Carolyn M. & Arias, Alejandro, 2018. "Social media use by young Latin American consumers: An exploration," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 10-19.
    13. 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.
    14. Nel, Jacques & Boshoff, Christo, 2019. "Online customers’ habit-inertia nexus as a conditional effect of mobile-service experience: A moderated-mediation and moderated serial-mediation investigation of mobile-service use resistance," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 282-292.
    15. Sohn, Stefanie, 2017. "Consumer processing of mobile online stores: Sources and effects of processing fluency," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 137-147.
    16. Groß, Michael, 2018. "Heterogeneity in consumers’ mobile shopping acceptance: A finite mixture partial least squares modelling approach for exploring and characterising different shopper segments," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 8-18.
    17. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    18. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    19. Gabriel JIPA, 2018. "Mobile Applications Buying Opinions Exploration using Topic Modeling," Expert Journal of Economics, Sprint Investify, vol. 6(2), pages 44-55.
    20. Canova, Luciano & Nicolini, Marcella, 2019. "Online price search across desktop and mobile devices: Evidence on cyberslacking and weather effects," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 32-39.

    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:55:y:2020:i:c:s0969698920300825. 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.