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Users' intentions to employ a Point-Of-Sale system

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  • Yun Ji Moon
  • Woody Kim
  • Sunny Ham

Abstract

This study proposes that task, technology, and individual characteristics affect the Point-Of-Sale (POS) utilization of employees in service industry, specifically in restaurants. The integrated technology acceptance model and task-technology fit (TTF) model is appropriate for explaining service employees' behavioral intentions to use POS. Data were obtained from 167 service employees. The hypothesized model resulted in a good fit, supporting all eight proposed hypotheses. The TTF construct was confirmed to be a mediator of task, technology, and individual characteristics affecting intention to use. Our integrated model is expected to help researchers and practitioners better understand why service employees choose POS for their tasks and, further, how the technology characteristics of POS and its fit-with-task characteristics in a service sector lead to service employee choices.

Suggested Citation

  • Yun Ji Moon & Woody Kim & Sunny Ham, 2014. "Users' intentions to employ a Point-Of-Sale system," The Service Industries Journal, Taylor & Francis Journals, vol. 34(11), pages 901-921, August.
  • Handle: RePEc:taf:servic:v:34:y:2014:i:11:p:901-921
    DOI: 10.1080/02642069.2014.915947
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    References listed on IDEAS

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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. 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.
    3. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    4. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    5. Lee, Yong-Ki & Park, Jong-Hyun & Chung, Namho & Blakeney, Alisha, 2012. "A unified perspective on the factors influencing usage intention toward mobile financial services," Journal of Business Research, Elsevier, vol. 65(11), pages 1590-1599.
    6. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    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. Mark T. Dishaw & Diane M. Strong, 2003. "The Effect of Task and Tool Experience on Maintenance CASE Tool Usage," Information Resources Management Journal (IRMJ), IGI Global, vol. 16(3), pages 1-16, July.
    9. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
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