• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Information Technology Journal
  2. Vol 12 (12), 2013
  3. 2350-2357
  • Issues
    Online First Current Issue All Issues
  • Information About
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 12 | Page No.: 2350-2357
DOI: 10.3923/itj.2013.2350.2357

Facebook Twitter Reddit Linkedin E-mail
Google Scholar ASCI
Research Article

Comparative Study of Self-service Technology Adoption based on Product Function

Zhang Xiaoren
School of Economics and Management, Beihang University, Beijing, China

Chen Xiangdong
School of Economics and Management, Beihang University, Beijing, China

Ding Ling
School of Economics and Management, Beihang University, Beijing, China

With the rapid development of modern information technology, more and more Self-service Technologies (SSTs) have emerged and won more and more customers increasingly. But some types of SSTs are not accepted by the customers. This study firstly divided SSTs into financial and specialty classes based on the product function. Then, a technology acceptance model was proposed on the basis of analysis of SSTs adoption behavior. Finally, the data were collected from users of automated teller machines and automated boarding machines in china through site interview and processed by structural equation modeling analysis method. The study found that both perceived risk and perceived security have significant impact on users’ adoption of financial SSTs while perceived ease of use and perceived enjoyment positively affect specialty SSTs adoption behavior and the effects of perceived usefulness and the self-efficacy on customers were alike.
PDF Fulltext XML References Citation

How to cite this article

Zhang Xiaoren, Chen Xiangdong and Ding Ling, 2013. Comparative Study of Self-service Technology Adoption based on Product Function. Information Technology Journal, 12: 2350-2357.

DOI: 10.3923/itj.2013.2350.2357

URL: https://scialert.net/abstract/?doi=itj.2013.2350.2357

Leave a Comment


Your email address will not be published. Required fields are marked *

Article Trend



Total views 3253

References


  1. Amin, H., 2007. Internet banking adoption among young intellectuals. J. Internet Bank. Commerce, 12: 1-13.
    Direct Link

  2. Bobbit, L.M. and P.A. Dabholkar, 2001. Integrating attitudinal theories to understand and predict use of technology-based self-service: The Internet as an illustration. Int. J. Serv. Ind. Manage., 12: 423-450.
    CrossRefDirect Link

  3. Bagozzi, R.P., F.D. Davis and P.R. Warshaw, 1992. Development and test of a theory of technological learning and usage. Hum. Relations, 45: 659-686.
    CrossRefDirect Link

  4. Cases, A.S., 2002. Perceived risk and risk-reduction strategies in Internet shopping. Int. Rev. Retail Distrib. Consum. Res., 12: 375-394.
    CrossRefDirect Link

  5. Cunningham, L.F., J. Gerlach and M.D. Harper, 2004. Assessing perceived risk of consumers in internet airline reservations services. J. Air Transp., 9: 21-35.
    Direct Link

  6. Cunningham, L.F., C.E. Young and J.H. Gerlach, 2008. Consumer views of self-service technologies. Serv. Ind. J., 28: 719-732.
    CrossRefDirect Link

  7. Curran, J.M. and M.L. Meuter, 2005. Self-service technology adoption: Comparing three technologies. J. Serv. Market., 19: 103-113.
    CrossRef

  8. Dabholkar, P.A., 1996. Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality. Int. J. Res. Market., 13: 29-51.
    CrossRefDirect Link

  9. Dabholkar, P.A. and R.P. Bagozzi, 2002. An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. J. Acad. Market. Sci., 30: 184-201.
    CrossRefDirect Link

  10. Davis, F.D., 1986. A technology acceptance model for empirically testing new end-user information systems: Theory and results. Ph.D. Thesis, Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA., USA.

  11. Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q., 13: 319-340.
    CrossRefDirect Link

  12. Forbes, L.P., 2008. When something goes wrong and no one is around: Non-internet self-service technology failure and recovery. J. Serv. Market., 22: 316-327.
    CrossRefDirect Link

  13. Guriting, P. and N.O. Ndubisi, 2006. Borneo Online banking: Evaluating consumer perceptions and behavioral intention. Manage. Res. News, 29: 6-15.
    CrossRefDirect Link

  14. Hippel, V.E., 1988. The Source of Innovation. Oxford University Press, New York, USA.

  15. Igbaria, M. and J. Iivari, 1995. The effects of self-efficacy on computer usage. Omega, 23: 587-605.
    CrossRef

  16. Igbaria, M., S. Parasuraman and J.J. Baroudi, 1996. A motivational model of microcomputer usage. J. Manage. Inform. Syst., 13: 127-143.
    CrossRefDirect Link

  17. Kline, R.B., 1998. Software review: Software programs for structural equation modeling: Amos, EQS and LISREL. J. Psychoeducational Assess., 16: 343-364.
    CrossRefDirect Link

  18. Kotler, P. and K. Keller, 2006. Marketing Management. 12th Edn., Prentice Hall, New York, ISBN: 0131457578, Pages: 412.

  19. Lee, J. and A. Allaway, 2002. Effects of personal control on adoption of self-service technology innovations. J. Servic. Market., 16: 553-572.
    CrossRefDirect Link

  20. Levitt, T., 1980. Marketing success through differentiation-of anything. Harvard Bus. Rev., 58: 83-91.
    Direct Link

  21. Liebermann, Y. and S. Stashevsky, 2002. Perceived risks as barriers to internet and e-commerce usage. Qual. Market Res. Int. J., 5: 291-300.
    Direct Link

  22. Van Riel, A., V. Liljander, F. Gillberg and J. Gummerus, 2006. Technology readiness and the evaluation and adoption of self-service technologies. J. Retail. Consum. Serv., 13: 177-191.
    Direct Link

  23. Lin, M., J. Hsieh, D. Hu, J. Thomas and J. MacDonald, 1995. Distributed network computing over local ATM networks. Proceedings of the ACM/IEEE Conference on Supercomputing, November 14-18, 1994, Washington, DC., USA., pp: 154-163.

  24. Luthje, C. and C. Herstatt, 2004. The lead user method: An outline of empirical findings and issues for future research. RD Manage., 34: 553-568.
    Direct Link

  25. Meuter, M.L., A.l. Ostrom, R.I. Roundtree and M.J. Bitner, 2000. Self-service technologies: Understanding customer satisfaction with technology-based service encounters. J. Market., 64: 50-64.
    CrossRef

  26. Ndubisi, N.O. and M. Jantan, 2003. Evaluating IS usage in Malaysian small and medium-sized firms using the technology acceptance model. Logist. Inform. Manage., 16: 440-450.
    CrossRef

  27. Parasuraman, A., 2000. Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. J. Serv. Res., 2: 307-320.
    Direct Link

  28. Park, Y. and J.V. Chen, 2007. Acceptance and adoption of the innovation use of smartphone. Ind. Manage. Data Syst., 107: 1349-1365.
    CrossRefDirect Link

  29. Pikkarainen, T., K. Pikkarainen, H. Karjaluoto and S. Pahnila, 2004. Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Res., 14: 224-235.
    CrossRefDirect Link

  30. Rigopoulos, G. and D. Askounis, 2007. TAM framework to evaluate users perception towards online electronic payments. J. Internet Bank. Commer., 12: 1-6.
    Direct Link

  31. Teo, T.S.H., 2001. Demographic and motivation variables associated with internet usage Activities. Internet Res., 11: 125-137.
    CrossRefDirect Link

  32. Wang, Y.S., Y.M. Wang, H.H. Lin and T.I. Tang, 2003. Determinants of user acceptance of Internet banking: An empirical study. Int. J. Service Ind. Manage., 14: 501-519.
    CrossRefDirect Link

Keywords


  • product functionality
  • technology acceptance model
  • Self-service technology
  • customer adoption

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved