IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v9y2015i4p587-609.html
   My bibliography  Save this article

Mediating relationships in and satisfaction with online technologies: communications or features beyond expectations?

Author

Listed:
  • Cayetano Medina
  • Ramón Rufín
  • Manuel Rey

Abstract

This paper is aimed at researching the satisfaction of professional users of online technology services. Based on the Expectation–Disconfirmation Theory (Oliver, J Mark Res 17:460–469, 1980 ), our research analyses the influence of mediating relationships between variables on these types of processes. Three variables, in addition to the expectations of the service’s perceived usefulness, are included in the analysis: effort expectancy, social influence and facilitating conditions. The results show that disconfirmation of expectations as such, i.e. expectations carried by the user prior to entering into contact with the service, plays a major role in the model. However, expectations ‘remembered’ after entering into contact with the service do not lead to such an influence of disconfirmation. From the point of view of the service provider, this differential behaviour has implications on its marketing strategy. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Cayetano Medina & Ramón Rufín & Manuel Rey, 2015. "Mediating relationships in and satisfaction with online technologies: communications or features beyond expectations?," Service Business, Springer;Pan-Pacific Business Association, vol. 9(4), pages 587-609, December.
    • Handle: RePEc:spr:svcbiz:v:9:y:2015:i:4:p:587-609
    DOI: 10.1007/s11628-014-0241-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11628-014-0241-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11628-014-0241-2?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. Anderson, Eugene W & Salisbury, Linda Court, 2003. "The Formation of Market-Level Expectations and Its Covariates," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 115-124, June.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Youjae Yi & Suna La, 2003. "The Moderating Role of Confidence in Expectations and the Asymmetric Influence of Disconfirmation on Customer Satisfaction," The Service Industries Journal, Taylor & Francis Journals, vol. 23(5), pages 20-47, November.
    4. Westbrook, Robert A, 1980. "Intrapersonal Affective Influences on Consumer Satisfaction with Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(1), pages 49-54, June.
    5. Oliver, Richard L & DeSarbo, Wayne S, 1988. "Response Determinants in Satisfaction Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 495-507, March.
    6. Michael Sobel, 1990. "Effect analysis and causation in linear structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 495-515, September.
    7. 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.
    8. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    9. Johnson, Michael D & Anderson, Eugene W & Fornell, Claes, 1995. "Rational and Adaptive Performance Expectations in a Customer Satisfaction Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(4), pages 695-707, March.
    10. Piyush Kumar & Mayukh Dass & Omer Topaloglu, 2011. "Exploring satisfaction in business-to-business services: a path-analytic approach," Service Business, Springer;Pan-Pacific Business Association, vol. 5(1), pages 13-27, March.
    11. 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.
    12. Emerson Mainardes & Maria Silva & Maria Souza Domingues, 2010. "The development of new higher education courses," Service Business, Springer;Pan-Pacific Business Association, vol. 4(3), pages 271-288, December.
    13. Susan A. Brown & Viswanath Venkatesh & Sandeep Goyal, 2012. "Expectation Confirmation in Technology Use," Information Systems Research, INFORMS, vol. 23(2), pages 474-487, June.
    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. Laura Lucia-Palacios & Victoria Bordonoba-Juste & Raúl Pérez-López, 2021. "Consumer-to-consumer reselling adoption among European countries: differences between old and young millennials," Service Business, Springer;Pan-Pacific Business Association, vol. 15(2), pages 253-279, June.
    2. Kwang-Ho Lee & DongHee Kim, 2019. "A peer-to-peer (P2P) platform business model: the case of Airbnb," Service Business, Springer;Pan-Pacific Business Association, vol. 13(4), pages 647-669, 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. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    2. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    3. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    4. Juan F. Tavera Mesías & Juan C. Sánchez Giraldo & Bernardo Ballesteros Díaz, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    5. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    6. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    7. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    8. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    9. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    10. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    11. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    12. Schoenherr, Tobias, 2023. "Supply chain management professionals’ proficiency in big data analytics: Antecedents and impact on performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    13. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    14. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    15. Cansu TÜRKER & Abdullah OKUMUŞ, 2019. "Mobil Ödeme Kullanımına Yönelik Niyet ve Algıların SosyoDemografik Özelliklere Göre Farklılıklarının İncelenmesi," Istanbul Management Journal, Istanbul University Business School, vol. 0(87), pages 111-139, December.
    16. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    17. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    18. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    19. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    20. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.

    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:svcbiz:v:9:y:2015:i:4:p:587-609. 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.