IDEAS home Printed from https://ideas.repec.org/a/aii/ijcmss/v09y2018i1p13-23.html
   My bibliography  Save this article

Online Website Cues Influencing the Purchase Intention of Generation Z Mediated by Trust

Author

Listed:
  • Mary Rani Thomas

    (Assistant Professor, Department of Commerce, Christ University, India.)

  • Kavya .V.

    (Research Scholar, Department of Commerce, Christ University, India.)

  • Mary Monica

    (Research Scholar, Department of Commerce, Christ University, India.)

Abstract

The apparel industry has repeatedly faced the problem of the return of products due to the intangibility factor. This intangibility of feel and touch of the product has constantly been attributedto the trust factor. This research endeavor tries to study the influence of online website cues such as Product presentation and Perceived interactivity) whether they have a decisive impact on the purchase intention of generation Z mediated by the trust factor. The paper examines trust as a mediating factor from the gaps of previous literature who fail to consider trust in the light of a consumer behavior perspective, as trust is a vital factor under the given conditions of risk and uncertainty. Online shopping is an activity which involves primary interaction with computers and customers, which acts similar to the concept of having a salesman in a traditional store that influences the purchase intention. Therefore trust needs to acts as the salient salesman in the web world. In the current study, a web-based survey was administered to 2000 sample size equally distributed to male and female respondents who fall into the Generation z classification.Structural equation modeling was performed to analyze the data. Results confirmed that all the necessary cues considered for the study from extensive review have a substantial impact on purchase intention mediated by trust. Therefore, Marketers and decision makers of the online apparel website must cater to the contents of the website as these are important cues which influence the purchase intention of Generation Z.

Suggested Citation

  • Mary Rani Thomas & Kavya .V. & Mary Monica, 2018. "Online Website Cues Influencing the Purchase Intention of Generation Z Mediated by Trust," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 9(1), pages 13-23, January.
  • Handle: RePEc:aii:ijcmss:v:09:y:2018:i:1:p:13-23
    DOI: 10.18843/ijcms/v9i1/03
    as

    Download full text from publisher

    File URL: http://scholarshub.net/index.php/ijcms/article/view/62/56
    Download Restriction: no

    File URL: http://scholarshub.net/index.php/ijcms/article/view/62
    Download Restriction: no

    File URL: https://libkey.io/10.18843/ijcms/v9i1/03?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
    ---><---

    References listed on IDEAS

    as
    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    3. Chatpong Tangmanee & Chayanin Rawsena, 2016. "Direct and Indirect Effects of Perceived Risk and Website Reputation on Purchase Intention," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(6), pages 01-11, October.
    4. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    5. Sanjeev Prashar & T. Sai Vijay & Chandan Parsad, 2017. "Effects of Online Shopping Values and Website Cues on Purchase Behaviour: A Study Using S–O–R Framework," Vikalpa: The Journal for Decision Makers, , vol. 42(1), pages 1-18, March.
    6. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    7. Yoo, Weon-Sang & Lee, Yunjung & Park, JungKun, 2010. "The role of interactivity in e-tailing: Creating value and increasing satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 89-96.
    8. S. Shyam Sundar & Silvia Knobloch‐Westerwick & Matthias R. Hastall, 2007. "News cues: Information scent and cognitive heuristics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(3), pages 366-378, February.
    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. Shunying Zhao & Qiang Yang & Hohjin Im & Baojuan Ye & Yadi Zeng & Zhinan Chen & Lu Liu & Dawu Huang, 2022. "The impulsive online shopper: effects of COVID-19 burnout, uncertainty, self-control, and online shopping trust," Future Business Journal, Springer, vol. 8(1), pages 1-15, December.
    2. Muhammad Irfan & Muhammad Shaukat Malik & Syeda Khadija Zubair, 2022. "Impact of Vlog Marketing on Consumer Travel Intent and Consumer Purchase Intent With the Moderating Role of Destination Image and Ease of Travel," SAGE Open, , vol. 12(2), pages 21582440221, May.
    3. Anuja Shukla & Anubhav Mishra, 2023. "Role of Review Length, Review Valence and Review Credibility on Consumer’s Online Hotel Booking Intention," FIIB Business Review, , vol. 12(4), pages 403-414, December.

    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. Huan-Ming Chuang & Chen-Chia Chuang, 2023. "The Effects of Experienced Utility and PEEIM on the Purchase Intention of Cross-Border E-Commerce," Sustainability, MDPI, vol. 15(21), pages 1-19, November.
    2. Ping Qing & Heng Huang & Amar Razzaq & Yifan Tang & Ming Tu, 2018. "Impacts of sellers’ responses to online negative consumer reviews: Evidence from an agricultural product," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 587-597, December.
    3. Malhotra, Neeru & Sahadev, Sunil & Purani, Keyoor, 2017. "Psychological contract violation and customer intention to reuse online retailers: Exploring mediating and moderating mechanisms," Journal of Business Research, Elsevier, vol. 75(C), pages 17-28.
    4. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
    5. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    6. Wu Li & Pengya Ai & Annette Ding, 2023. "More Than Just Numbers: How Engagement Metrics Influence User Intention to Pay for Online Knowledge Products," SAGE Open, , vol. 13(1), pages 21582440221, January.
    7. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    8. Hajli, Nick & Sims, Julian & Zadeh, Arash H. & Richard, Marie-Odile, 2017. "A social commerce investigation of the role of trust in a social networking site on purchase intentions," Journal of Business Research, Elsevier, vol. 71(C), pages 133-141.
    9. Hong, Ilyoo B. & Cho, Hwihyung, 2011. "The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust," International Journal of Information Management, Elsevier, vol. 31(5), pages 469-479.
    10. Qin, Li & De-Juan-Vigaray, María D., 2021. "Social commerce: Is interpersonal trust formation similar between U.S.A. and Spain?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    11. Chatpong Tangmanee & Chayanin Rawsena, 2016. "Direct and Indirect Effects of Perceived Risk and Website Reputation on Purchase Intention," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(6), pages 01-11, October.
    12. Möhlmann, Mareike, 2021. "Unjustified trust beliefs: Trust conflation on sharing economy platforms," Research Policy, Elsevier, vol. 50(3).
    13. Ives Chacourre Wangninanon Gogan & Ziqiong Zhang & Elizabeth Damian Matemba, 2018. "Impacts of Gratifications on Consumers’ Emotions and Continuance Use Intention: An Empirical Study of Weibo in China," Sustainability, MDPI, vol. 10(9), pages 1-20, September.
    14. Andreas I. Nicolaou & D. Harrison McKnight, 2006. "Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use," Information Systems Research, INFORMS, vol. 17(4), pages 332-351, December.
    15. Weck, Marina & Afanassieva, Marianne, 2023. "Toward the adoption of digital assistive technology: Factors affecting older people's initial trust formation," Telecommunications Policy, Elsevier, vol. 47(2).
    16. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    17. Daniel A. Sanchez-Loor & Wei-Shiun Chang, 2023. "Experimental study of the effects of structural assurance, personal experiences, and product reviews on repurchase behavior in e-commerce platforms," Electronic Commerce Research, Springer, vol. 23(3), pages 1971-2010, September.
    18. Timm Teubner & Marc T. P. Adam & Florian Hawlitschek, 2020. "Unlocking Online Reputation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 501-513, December.
    19. Chang, Shuchih Ernest & Shen, Wei-Cheng & Liu, Anne Yenching, 2016. "Why mobile users trust smartphone social networking services? A PLS-SEM approach," Journal of Business Research, Elsevier, vol. 69(11), pages 4890-4895.
    20. Park, Sangwon, 2020. "Multifaceted trust in tourism service robots," Annals of Tourism Research, Elsevier, vol. 81(C).

    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:aii:ijcmss:v:09:y:2018:i:1:p:13-23. 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: Mr. Asif Anjum (email available below). General contact details of provider: .

    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.