IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v34y2017icp278-286.html
   My bibliography  Save this article

Consumers' attitudes and intentions toward Internet-enabled TV shopping

Author

Listed:
  • Wagner, Gerhard
  • Schramm-Klein, Hanna
  • Steinmann, Sascha

Abstract

An increasing number of households are equipped with Internet-enabled televisions (IETVs) that yield opportunities for online activities. This research contributes by investigating the motivational factors of consumers’ attitudes and intentions toward IETV shopping. A quasi-experimental study in the environmental context of a living room was designed to explore IETV shopping behavior. Findings indicate that utilitarian motivations are determined by characteristics of technology and hedonic motivations from the physical environment. Attitudes toward IETV shopping are primarily influenced by hedonic shopping motivations. Conclusions suggest that by providing an IETV shopping app, retailers would make online shopping more enjoyable and comfortable for consumers.

Suggested Citation

  • Wagner, Gerhard & Schramm-Klein, Hanna & Steinmann, Sascha, 2017. "Consumers' attitudes and intentions toward Internet-enabled TV shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 278-286.
  • Handle: RePEc:eee:joreco:v:34:y:2017:i:c:p:278-286
    DOI: 10.1016/j.jretconser.2016.01.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698916000059
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2016.01.010?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. Emrich, Oliver & Paul, Michael & Rudolph, Thomas, 2015. "Shopping Benefits of Multichannel Assortment Integration and the Moderating Role of Retailer Type," Journal of Retailing, Elsevier, vol. 91(2), pages 326-342.
    2. Dellaert, Benedict G.C. & Arentze, Theo A. & Timmermans, Harry J.P., 2008. "Shopping context and consumers’ mental representation of complex shopping trip decision problems," Journal of Retailing, Elsevier, vol. 84(2), pages 219-232.
    3. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July.
    4. Badrinarayanan, Vishag & Becerra, Enrique P. & Madhavaram, Sreedhar, 2014. "Influence of congruity in store-attribute dimensions and self-image on purchase intentions in online stores of multichannel retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1013-1020.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Wagner, Tillmann & Rudolph, Thomas, 2010. "Towards a hierarchical theory of shopping motivation," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 415-429.
    7. Huffman, Cynthia & Houston, Michael J, 1993. "Goal-Oriented Experiences and the Development of Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 190-207, September.
    8. Lynch, John G, Jr, 1982. "On the External Validity of Experiments in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 225-239, December.
    9. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    10. Sharma, Arun & Stafford, Thomas F., 2000. "The Effect of Retail Atmospherics on Customers' Perceptions of Salespeople and Customer Persuasion:: An Empirical Investigation," Journal of Business Research, Elsevier, vol. 49(2), pages 183-191, August.
    11. 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.
    12. Kim, Juran & Lee, Ki Hoon, 2013. "Towards a theoretical framework of motivations and interactivity for using IPTV," Journal of Business Research, Elsevier, vol. 66(2), pages 260-264.
    13. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    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. Tong, Xinjia & Chen, Yuangao & Zhou, Shasha & Yang, Shuiqing, 2022. "How background visual complexity influences purchase intention in live streaming: The mediating role of emotion and the moderating role of gender," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    2. 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.
    3. Hallem, Associate Professor Yousra & Abbes, Associate Professor Intissar & Hikkerova, Professor Lubica & Taga, Media Planner Nadia, 2021. "A trust model for collaborative redistribution platforms:A platform design issue," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    4. 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.
    5. Harris, Patricia & Dall’Olmo Riley, Francesca & Hand, Chris, 2018. "Understanding multichannel shopper journey configuration: An application of goal theory," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 108-117.
    6. 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).
    7. Richa Misra & Renuka Mahajan & Nidhi Singh & Sangeeta Khorana & Nripendra P. Rana, 2022. "Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1639-1660, September.
    8. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Abbes, Intissar & Hallem, Yousra & Taga, Nadia, 2020. "Second-hand shopping and brand loyalty: The role of online collaborative redistribution platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 52(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. Puccinelli, Nancy M. & Goodstein, Ronald C. & Grewal, Dhruv & Price, Robert & Raghubir, Priya & Stewart, David, 2009. "Customer Experience Management in Retailing: Understanding the Buying Process," Journal of Retailing, Elsevier, vol. 85(1), pages 15-30.
    2. 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).
    3. Bielefeldt, Jonas & Poelzl, Jana & Herbst, Uta, 2016. "What’s Mine Isn’t Yours – Barriers to Participation in the Sharing Economy," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 70(1), pages 4-25.
    4. Harris, Patricia & Dall’Olmo Riley, Francesca & Hand, Chris, 2018. "Understanding multichannel shopper journey configuration: An application of goal theory," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 108-117.
    5. 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.
    6. Jebarajakirthy, Charles & Shankar, Amit, 2021. "Impact of online convenience on mobile banking adoption intention: A moderated mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    7. Koehler, C.F. & Breugelmans, E. & Dellaert, B.G.C., 2010. "Consumer Acceptance of Recommendations by Interactive Decision Aids: The Joint Role of Temporal Distance and Concrete vs. Abstract Communications," ERIM Report Series Research in Management ERS-2010-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. 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.
    9. Sebald, Anna Kathrin & Jacob, Frank, 2020. "What help do you need for your fashion shopping? A typology of curated fashion shoppers based on shopping motivations," European Management Journal, Elsevier, vol. 38(2), pages 319-334.
    10. Han, Sang-Lin & An, Myounga & Han, Jerry J. & Lee, Jiyoung, 2020. "Telepresence, time distortion, and consumer traits of virtual reality shopping," Journal of Business Research, Elsevier, vol. 118(C), pages 311-320.
    11. Emmert, Martin & Schindler, Anja & Drach, Cordula & Sander, Uwe & Patzelt, Christiane & Stahmeyer, Jona & Kühnel, Elias & Lauerer, Michael & Nagel, Eckhard & Frömke, Cornelia & Schöffski, Oliver & Hep, 2022. "The use intention of hospital report cards among patients in the presence or absence of patient-reported outcomes," Health Policy, Elsevier, vol. 126(6), pages 541-548.
    12. Shankar, Amit & Rishi, Bikramjit, 2020. "Convenience matter in mobile banking adoption intention?," Australasian marketing journal, Elsevier, vol. 28(4), pages 273-285.
    13. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    14. 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).
    15. Yunis, Manal & Tarhini, Abbas & Kassar, Abdulnasser, 2018. "The role of ICT and innovation in enhancing organizational performance: The catalysing effect of corporate entrepreneurship," Journal of Business Research, Elsevier, vol. 88(C), pages 344-356.
    16. Duarte, Paulo & Costa e Silva, Susana & Ferreira, Margarida Bernardo, 2018. "How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 161-169.
    17. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    18. Carlson, Jamie & O’Cass, Aron & Ahrholdt, Dennis, 2015. "Assessing customers’ perceived value of the online channel of multichannel retailers: A two country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 90-102.
    19. Khan Md Raziuddin Taufique & Chamhuri Siwar & Basri Talib & Farah Hasan Sarah & Norshamliza Chamhuri, 2014. "Synthesis of Constructs for Modeling Consumers’ Understanding and Perception of Eco-Labels," Sustainability, MDPI, vol. 6(4), pages 1-25, April.
    20. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.

    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:34:y:2017:i:c:p:278-286. 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.