IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2020i1p172-d468799.html
   My bibliography  Save this article

The Effects of Product Monetary Value, Product Evaluation Cost, and Customer Enjoyment on Customer Intention to Purchase and Reuse Vendors: Institutional Trust-Based Mechanisms

Author

Listed:
  • Ni Wayan Masri

    (College of Foreign Languages, National Kaohsiung University of Science and Technology No. 1, Kaohsiung City 824, Taiwan)

  • Athapol Ruangkanjanases

    (Chulalongkorn Business School, Chulalongkorn University, Bangkok 10330, Thailand)

  • Shih-Chih Chen

    (Department of Information Management, National Kaohsiung University of Science and Technology No. 1, Kaohsiung City 824, Taiwan)

Abstract

This study develops a model based on perceived effectiveness of e-commerce institutional mechanisms (PEEIM) and trust-based mechanisms to explain how PEEIM, product monetary value (MV), product evaluation cost (PEC), and enjoyment influence trust online vendor (TV) and how they affect purchase intention (IP) and reuse intention (IR) in e-shopping. The study is based on a survey of 293 online shoppers in Taiwan. Results show that monetary value, product evaluation cost, and customer enjoyment have a positive relationship with trust in online vendors, and a positive indirect and significant relationship on intention to purchase and reuse the products or service in the e-shopping environment. However, PEEIM does not have indirect effects on the customer’s intention to purchase and reuse the products or services through the influence of trust online vendor if the influence of PEEIM on customer trust online vendor is low and no significant effects, but PEEIM does have significant direct effects on a customer’s purchase and reuse intention. In addition, PEEIM has two constantly indirect relationships with a customer to purchase and reuse intention the product or services through the influence of customer enjoyment and customer trust in online vendor relationships. The study contributes important theoretical and practical implications for scholars and e-commerce providers.

Suggested Citation

  • Ni Wayan Masri & Athapol Ruangkanjanases & Shih-Chih Chen, 2020. "The Effects of Product Monetary Value, Product Evaluation Cost, and Customer Enjoyment on Customer Intention to Purchase and Reuse Vendors: Institutional Trust-Based Mechanisms," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:172-:d:468799
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/172/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/1/172/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    2. Oghazi, Pejvak & Karlsson, Stefan & Hellström, Daniel & Hjort, Klas, 2018. "Online purchase return policy leniency and purchase decision: Mediating role of consumer trust," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 190-200.
    3. Maggie Chuoyan Dong & Yulin Fang & Detmar W. Straub, 2017. "The Impact of Institutional Distance on the Joint Performance of Collaborating Firms: The Role of Adaptive Interorganizational Systems," Information Systems Research, INFORMS, vol. 28(2), pages 309-331, June.
    4. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57946, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 59346, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65605, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Bandar Alharthey, 2020. "The Role of Online Trust in Forming Online Shopping Intentions," International Journal of Online Marketing (IJOM), IGI Global, vol. 10(1), pages 32-57, January.
    8. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    9. Weisstein, Fei L. & Kukar-Kinney, Monika & Monroe, Kent B., 2016. "Determinants of consumers' response to pay-what-you-want pricing strategy on the Internet," Journal of Business Research, Elsevier, vol. 69(10), pages 4313-4320.
    10. Yumei Luo & Qiongwei Ye, 2019. "Understanding Consumers’ Loyalty to an Online Outshopping Platform: The Role of Social Capital and Perceived Value," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    11. Reynolds-McIlnay, Ryann & Morrin, Maureen, 2019. "Increasing Shopper Trust in Retailer Technological Interfaces via Auditory Confirmation," Journal of Retailing, Elsevier, vol. 95(4), pages 128-142.
    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. Christian Matt & Thomas Hess, 2016. "Product fit uncertainty and its effects on vendor choice: an experimental study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(1), pages 83-93, February.
    2. Tuncer, Ilhami, 2021. "The relationship between IT affordance, flow experience, trust, and social commerce intention: An exploration using the S-O-R paradigm," Technology in Society, Elsevier, vol. 65(C).
    3. Sofia Cardoso & Luis F. Martinez, 2019. "Online payments strategy: how third-party internet seals of approval and payment provider reputation influence the Millennials’ online transactions," Electronic Commerce Research, Springer, vol. 19(1), pages 189-209, March.
    4. Sullivan, Yulia W. & Kim, Dan J., 2018. "Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments," International Journal of Information Management, Elsevier, vol. 39(C), pages 199-219.
    5. Qihua Liu & Xiaoyu Zhang & Liyi Zhang & Yang Zhao, 2019. "The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation," Electronic Commerce Research, Springer, vol. 19(3), pages 521-547, September.
    6. 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.
    7. Shih-Wei Chou & Chia-Shiang Hsu, 2016. "Understanding online repurchase intention: social exchange theory and shopping habit," Information Systems and e-Business Management, Springer, vol. 14(1), pages 19-45, February.
    8. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    9. Fursov, Konstantin & Thurner, Thomas & Nefedova, Alena, 2017. "What user-innovators do that others don't: A study of daily practices," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 153-160.
    10. Severin Weiler & Christian Matt & Thomas Hess, 2022. "Immunizing with information – Inoculation messages against conversational agents’ response failures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 239-258, March.
    11. Thomas Friedrich & Sebastian Schlauderer & Sven Overhage, 2021. "Some things are just better rich: how social commerce feature richness affects consumers’ buying intention via social factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 159-180, March.
    12. Hu, Xi & Huang, Qian & Zhong, Xuepan & Davison, Robert M. & Zhao, Dingtao, 2016. "The influence of peer characteristics and technical features of a social shopping website on a consumer’s purchase intention," International Journal of Information Management, Elsevier, vol. 36(6), pages 1218-1230.
    13. Isamar Troncoso & Lan Luo, 2023. "Look the Part? The Role of Profile Pictures in Online Labor Markets," Marketing Science, INFORMS, vol. 42(6), pages 1080-1100, November.
    14. Fanjuan Shi & Jean-Luc Marini, 2014. "Do we need to believe Data/Tangible or Emotional/Intuition?," Post-Print halshs-01065283, HAL.
    15. David Schneider & Johannes Klumpe & Martin Adam & Alexander Benlian, 2020. "Nudging users into digital service solutions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 863-881, December.
    16. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    17. Baozhou Lu & Zhenhua Wang, 2022. "Trust Transfer in Sharing Accommodation: The Moderating Role of Privacy Concerns," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    18. Chen Liang & Zhan (Michael) Shi & T. S. Raghu, 2019. "The Spillover of Spotlight: Platform Recommendation in the Mobile App Market," Information Systems Research, INFORMS, vol. 30(4), pages 1296-1318, December.
    19. Yi, Sangyoon & Kim, Dongyeon & Ju, Jaehyeon, 2022. "Recommendation technologies and consumption diversity: An experimental study on product recommendations, consumer search, and sales diversity," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    20. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.

    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:gam:jsusta:v:13:y:2020:i:1:p:172-:d:468799. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.