IDEAS home Printed from https://ideas.repec.org/a/spr/infotm/v19y2018i4d10.1007_s10799-017-0286-8.html
   My bibliography  Save this article

Developing and validating a physical product e-tailing systems success model

Author

Listed:
  • Yi-Shun Wang

    (National Changhua University of Education)

  • Shin-jeng Lin

    (Le Moyne College)

  • Ci-Rong Li

    (Jilin University)

  • Timmy H. Tseng

    (National Changhua University of Education)

  • Hsien-Ta Li

    (National Cheng Kung University)

  • Jia-Yang Lee

    (National Changhua University of Education)

Abstract

The study attempts to develop and validate a physical product e-tailing systems success model based on the existing information systems/e-commerce systems success models and consumer behavior literature. The proposed e-tailing success model describes the interrelationships among nine dimensions: Information Quality, System Quality, Service Quality, Product Quality, Perceived Price, Perceived Value, User Satisfaction, Intention to Reuse, and Electronic Word-of-Mouth. Data collected from 258 valid respondents are tested against the research model using the partial least squares approach. The results indicate that Information Quality, System Quality, Service Quality, Product Quality, and Perceived Price (i.e. e-tailers’ quality and price attributes) have a significant influence on both Perceived Value and User Satisfaction, and that Perceived Value significantly affects both Intention to Reuse and eWOM (i.e. customers’ loyalty) directly or indirectly through the mediation of User Satisfaction. The results of this study provide several important theoretical and practical implications for e-tailing systems success.

Suggested Citation

  • Yi-Shun Wang & Shin-jeng Lin & Ci-Rong Li & Timmy H. Tseng & Hsien-Ta Li & Jia-Yang Lee, 2018. "Developing and validating a physical product e-tailing systems success model," Information Technology and Management, Springer, vol. 19(4), pages 245-257, December.
  • Handle: RePEc:spr:infotm:v:19:y:2018:i:4:d:10.1007_s10799-017-0286-8
    DOI: 10.1007/s10799-017-0286-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10799-017-0286-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10799-017-0286-8?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. 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.
    2. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    3. Viswanath Venkatesh & Ritu Agarwal, 2006. "Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels," Management Science, INFORMS, vol. 52(3), pages 367-382, March.
    4. Gruen, Thomas W. & Osmonbekov, Talai & Czaplewski, Andrew J., 2006. "eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty," Journal of Business Research, Elsevier, vol. 59(4), pages 449-456, April.
    5. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    6. Rose, Susan & Clark, Moira & Samouel, Phillip & Hair, Neil, 2012. "Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes," Journal of Retailing, Elsevier, vol. 88(2), pages 308-322.
    7. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    8. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
    9. Jiménez, Fernando R. & Mendoza, Norma A., 2013. "Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 226-235.
    10. Rao, Akshay R & Monroe, Kent B, 1988. "The Moderating Effect of Prior Knowledge on Cue Utilization in Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(2), pages 253-264, September.
    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. Zhong, Junying & Chen, Tiao, 2023. "Antecedents of mobile payment loyalty: An extended perspective of perceived value and information system success model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(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. Lee, Sang-Yong Tom & Kim, Hee-Woong & Gupta, Sumeet, 2009. "Measuring open source software success," Omega, Elsevier, vol. 37(2), pages 426-438, April.
    2. Sun, Jonghak & Teng, James T.C., 2017. "The construct of information systems use benefits: Theoretical explication of its underlying dimensions and the development of a measurement scale," International Journal of Information Management, Elsevier, vol. 37(5), pages 400-416.
    3. Kwahk, Kee-Young & Ahn, Hyunchul & Ryu, Young U., 2018. "Understanding mandatory IS use behavior: How outcome expectations affect conative IS use," International Journal of Information Management, Elsevier, vol. 38(1), pages 64-76.
    4. Young Mee Shin & Seung Chang Lee & Bongsik Shin & Ho Geun Lee, 2010. "Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes," Information Systems Frontiers, Springer, vol. 12(5), pages 595-606, November.
    5. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.
    6. Yogesh K. Dwivedi & David Wastell & Sven Laumer & Helle Zinner Henriksen & Michael D. Myers & Deborah Bunker & Amany Elbanna & M. N. Ravishankar & Shirish C. Srivastava, 2015. "Research on information systems failures and successes: Status update and future directions," Information Systems Frontiers, Springer, vol. 17(1), pages 143-157, February.
    7. Kamilah Kamaludin & Kamil Zaki Kamaludin, 2017. "User Acceptance of the Human Resource Information System: A Study of a Private Hospital in Malaysia," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 207-217.
    8. Jang, Hyeong Yu & Noh, Mi Jin, 2011. "Customer acceptance of IPTV service quality," International Journal of Information Management, Elsevier, vol. 31(6), pages 582-592.
    9. Liao, Chechen & Palvia, Prashant & Lin, Hong-Nan, 2006. "The roles of habit and web site quality in e-commerce," International Journal of Information Management, Elsevier, vol. 26(6), pages 469-483.
    10. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    11. Xixi Li & J. J. Po-An Hsieh & Arun Rai, 2013. "Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context," Information Systems Research, INFORMS, vol. 24(3), pages 659-682, September.
    12. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    13. Shin, Bongsik & Lee, Sanghoon & Lee, Ho Geun, 2016. "Examining an extended duality perspective regarding success conditions of IT service," International Journal of Information Management, Elsevier, vol. 36(2), pages 226-239.
    14. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    15. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    16. Jung-Yu Lai & Juite Wang, 2018. "Exploring the impacts of perceived e-collaboration service convenience on new product development in Taiwanese IC design companies," Information Technology and Management, Springer, vol. 19(2), pages 107-120, June.
    17. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    18. Nurlia Dewi & Willy Abdillah & Muhartini Salim & Slamet Widodo, 2021. "The Role of Leadership in Implementation Public Information System of Local Government Institutions in Indonesia," International Review of Management and Marketing, Econjournals, vol. 11(6), pages 1-9.
    19. A. Maes & G. Poels, 2006. "Development of a user evaluations based quality model for conceptual modeling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/406, Ghent University, Faculty of Economics and Business Administration.
    20. Bradley, Joseph, 2008. "Management based critical success factors in the implementation of Enterprise Resource Planning systems," International Journal of Accounting Information Systems, Elsevier, vol. 9(3), pages 175-200.

    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:spr:infotm:v:19:y:2018:i:4:d:10.1007_s10799-017-0286-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.