IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v21y2014i5p717-724.html
   My bibliography  Save this article

Development of a service continance model with IT service antecedents

Author

Listed:
  • Boakye, Kwabena G.
  • McGinnis, Thomas
  • Prybutok, Victor R.
  • Paswan, Audhesh K.

Abstract

This study make provides service marketers, particularly those delivering information technology (IT) related service, with insight to the factors that consumers use when evaluating IT services. We develop a service continuance model that includes the antecedents of the consumer׳s decision to continue using information technology (IT) related services in a B2C service environment. Using data from the smart phone service consumers, a covariance-based structural equation modeling analysis is used to test the research model. Results from our empirical study suggest that the association between service usefulness and service continuation intention is fully mediated by service satisfaction. Though both system-service quality and customer-service quality are positively associated with service satisfaction, consumers of IT related services attach greater importance to system-service quality than to custom service quality. Likewise, the indirect path to service continuation intention is stronger in system-service quality than in customer-service quality. Our findings have practical implication for growing market share in IT related services by recognizing the importance of system-service quality in technology service delivery.

Suggested Citation

  • Boakye, Kwabena G. & McGinnis, Thomas & Prybutok, Victor R. & Paswan, Audhesh K., 2014. "Development of a service continance model with IT service antecedents," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 717-724.
  • Handle: RePEc:eee:joreco:v:21:y:2014:i:5:p:717-724
    DOI: 10.1016/j.jretconser.2014.05.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698914000666
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2014.05.004?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. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    3. 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.
    4. Chen, Shu-Ching, 2012. "The customer satisfaction–loyalty relation in an interactive e-service setting: The mediators," Journal of Retailing and Consumer Services, Elsevier, vol. 19(2), pages 202-210.
    5. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    6. E. Burton Swanson, 1974. "Management Information Systems: Appreciation and Involvement," Management Science, INFORMS, vol. 21(2), pages 178-188, October.
    7. Chow, Wing S. & Madu, Christian N. & Kuei, Chu-Hua & Lu, Min H. & Lin, Chinho & Tseng, Hojung, 2008. "Supply chain management in the US and Taiwan: An empirical study," Omega, Elsevier, vol. 36(5), pages 665-679, October.
    8. Joaquin Aldas-Manzano & Carla Ruiz-Mafe & Silvia Sanz-Blas & Carlos Lassala-Navarré, 2009. "Internet banking loyalty: evaluating the role of trust, satisfaction, perceived risk and frequency of use," The Service Industries Journal, Taylor & Francis Journals, vol. 31(7), pages 1165-1190, September.
    9. Landrum, Hollis & Prybutok, Victor R., 2004. "A service quality and success model for the information service industry," European Journal of Operational Research, Elsevier, vol. 156(3), pages 628-642, August.
    10. Ruth N. Bolton & Katherine N. Lemon & Matthew D. Bramlett, 2006. "The Effect of Service Experiences over Time on a Supplier's Retention of Business Customers," Management Science, INFORMS, vol. 52(12), pages 1811-1823, December.
    11. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    12. Sanjeev Dewan & Fei Ren, 2011. "Information Technology and Firm Boundaries: Impact on Firm Risk and Return Performance," Information Systems Research, INFORMS, vol. 22(2), pages 369-388, June.
    13. 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.
    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. Liao, Ziqi & Shi, Xinping, 2017. "Web functionality, web content, information security, and online tourism service continuance," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 258-263.
    2. Boakye, Kwabena G. & Natesan, Prathiba & Prybutok, Victor R., 2020. "A correlated uniqueness model of service quality measurement among users of cloud-based service platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    3. Mst. Samanta Nasrin & Ryo Sakiyama, 2022. "Impact of Brand Prominence on Customer Satisfaction: The Moderating Role of Online/Offline Environment," International Business Research, Canadian Center of Science and Education, vol. 15(4), pages 1-58, April.

    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. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    2. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    3. 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.
    4. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    5. 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.
    6. Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," Working Papers hal-01296338, HAL.
    7. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    8. Hossain Md. Motaher & Zahidul Islam K. M. & Masud Abdullah Al & Biswas Sukanta & Hossain Md. Alamgir, 2021. "Behavioral intention and continued adoption of Facebook: An exploratory study of graduate students in Bangladesh during the Covid-19 pandemic," Management, Sciendo, vol. 25(2), pages 153-186, December.
    9. Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    10. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    11. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    12. Diaz, Michelle Chandler & Loraas, Tina, 2010. "Learning new uses of technology while on an audit engagement: Contextualizing general models to advance pragmatic understanding," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 61-77.
    13. 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.
    14. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    15. 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.
    16. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    17. Mäntymäki, Matti & Merikivi, Jani & Verhagen, Tibert & Feldberg, Frans & Rajala, Risto, 2014. "Does a contextualized theory of planned behavior explain why teenagers stay in virtual worlds?," International Journal of Information Management, Elsevier, vol. 34(5), pages 567-576.
    18. Venkatesh, Viswanath & Speier, Cheri, 1999. "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 1-28, July.
    19. Jullie Jeanette Sondakh, 2017. "Behavioral Intention to Use E-Tax Service System: An Application of Technology Acceptance Model," European Research Studies Journal, European Research Studies Journal, vol. 0(2A), pages 48-64.
    20. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.

    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:21:y:2014:i:5:p:717-724. 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.