Browse > Article

A Study on the Task Performance of Mobile Service Users in Medical Institute: Emphasis on Individual Characteristics and Task-Technology Fit(TTF) Model  

Lee, Kun-Chang (School of Business, SungKyunKwan University)
Kim, Jin-Sung (School of Business Administration, Jeonju University)
Publication Information
IE interfaces / v.17, no.3, 2004 , pp. 314-329 More about this Journal
Abstract
The rapid growth of investments in mobile service to reach a large and growing body of customers, coupled with low communication costs, has made user acceptance an increasingly critical management issue. The study draws upon the task-technology fit (TTF) model as its theoretical basis and its empirical findings to pragmatically explain the key factors that affect the performance and user acceptance of mobile service in medical field. A total of 110 usable responses were obtained. The findings indicate that the task, technology, and individual user characteristics positively affect task-technology fit and mobile service usage. The task-technology fit and mobile service usage are the dominant factors that affect mobile service performance. The result points out the importance of the fit between technologies and users' tasks in achieving individual performance impact from mobile service in medical arena.
Keywords
mobile service; medical information; individual characteristics; Task-Technology Fit(TTF);
Citations & Related Records
연도 인용수 순위
  • Reference
1 김선희, 성영선 (1991), 개인과 직무의 적합성이 직무 성과 및 직무 만족에 미치는 영향, 한국심리학회 연차학술발표대회, 307-315
2 김인재, 이정우 (2001), 무선 인터넷 서비스수용의 영향에 관한 연구, Information Systems Review, 3(1), 83-102
3 이광희, 손익수, 배홍균 (2001),무선 인터넷 시장동향분석 , 무선산업 연구원
4 한국인터넷 정보센터 , http://www.nic.or.kr
5 Baldwin, N.S. and Rice, R.E. (1997), Information-Seeking Behavior of Securities Analysts: Individual Institutional Influences, Information Sources and Channels, and Outcomes, Journal of The American Society for Information Science, 48(8), 674-693
6 Barrett, J.R., Strayer, S.M., and Schubart, J.R. (2003), Assessing Medical Residents' Usage and Perceived Needs for Personal Digital Assistants, International Journal of Medical Information, 73, 25-34
7 Buchanan, G., Farrant, S., Jones, M., Thimbleby, H., Marsden, G., and Pazzani, M. (2001), Improving Mobile Internet Usability, The 10'th International WWW Conference (WWW10) - ACM, 673-680
8 Daft, R.L. and Macintosh, N.B. (1981), A Tentative Exploration into the Amount and Equvocality of Information Processing in Organizational Work Units, Administrative Science Quarterly 26, 207-224
9 Doll, W.J and Torkzadeh, G. (1991), The Measurement of End-User Computing Satisfaction: Theoretical and Methodological Issues, MIS Quarterly, 15(1), 5-12
10 Fishbein, M., and Ajzen, I. (1975), Belief, Attitude, Intentions and Behavior: An Introduction to Theory and Research, Addison-Wesley, Boston
11 Goodhue, D.L. (1998), Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information Systems, Decision Sciences, 29(1), 105-138
12 Goodhue, D.L. (1997), The Model Underlying the Measurement of the Impacts of the IIC on End Users, Journal of the American Society for Information Sciences, 48(5), 449-453
13 Goodhue, D.L. (1992), User Evaluations of MIS Success: What are we Really Measuring), Proceedings of the Hawaii International Conference on Systems Sciences, 4, Kauai, Hawaii, 303-314
14 Kuramitsu, L. and Sakamura, K. (2001), Towards Ubiquitous Database in Mobile Commerce, Proceedings of the 2nd ACM international Workshop on Data Engineering for Wireless and Mobile Access, 84-89
15 Labkof F, S.E., Shah, S., Bormel, J., and Lee, Y, Greenes, R.A. (1995), The Constellation Project: Experience and Evaluation of Personal Digital Assistants in the Clinical Environment, Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care, 678-682
16 Moffitt, K. (1994), An Analysis of the Pedagogical Effects of Expert System Use in the Classroom, Decision Sciences, 25(3), 445-460
17 Rivard, S. and Huff, S.L. (1988), Factors of Success of End User Computing, Communications of the ACM, 31(5), 552-561
18 Senn, J.A. (2000), TheEmergence of M-Commerce, Computer, 148-150
19 Thompson, L.D (1967), Organization in Action, McGraw-Hill, New York
20 Thompson, R.L., Higgins, C.A., and Howell, J.M. (1994), Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model, Journal of Management Information Systems, 11(1), 167-187
21 Thompson, R.L. , Higgins, C.A., and Howell, J.M. (1991), Towards a Conceptual Model of Utilization, MIS Quarterly, 15(1), 125-143
22 Vessey, I. (1991), Cognitive Fit: A theory-Based Analysis of the Graphs vs. Table Literature, Decision Science , 22(2), 219-240
23 Goodhue, D.L. (1995), Understanding User Evaluations of Information Systems, Management Science, 41(12), 1827-1844
24 Bailey, M.N. and Lawrence, R.Z. (2001), Do We have a New Economy, The American Economic Review, 91(2), 308-312
25 Benbasat, I., Dexter, AS, and Todd, P. (1986), An Experimental Program Investigating Color-Enhanced and GraphicalInformationPresentation: An Integration of the Findings, Communications of the ACM, 29(11), 1094-1105
26 Montazemi, A.R. (1988), Factors Affecting Information Satisfaction in the Context of the Small Business Environment, MIS Quarterly, 12(2), 239-256
27 Varshney, U., Vetter, R., and Kalakora, R. (2001), A Framework for the Emerging Mobile Commerce Applications, Proceeding: of the 34th Hawaii International Conference on System Sciences
28 이경형 (2001), 국내 모바일 금융서비스 전개현황, KISDI IT FOCUS: 정보통신정잭연구원 63-67
29 Lucas, H. (1981), The Analysis, Design, and Implementation of Information Systems, McGraw-Hill, New York
30 Cheney, P.H., Mann, R.I., and Amoroso, D.L. (1986), Organizational Factors Affecting the Success of End-User Computing, Journal of Management Information Systems, 30), 65-80
31 Trice, A.W. and Treacy, ALE. (1988), Utilization as a Dependent Variable in MIS Research, Data Base, 19(3/4)
32 한경일, 김준석 (2001), 파업특성과 정보시스템 집중화간의 적합성이 사용자 만족도에 미치는 영향, 경영학연구 30(1), 159-181
33 Compeau, D., Higgins, C.A., and Huff, S.(1999), Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study, MIS Quarterly, 23(2), 145-158
34 Culnan, M.J (1983), Environmental Scanning: The Effects of Task Complexity and Source Accessibility on Information Gathering Behavior, Decision Sciences, 14(2), 194-206
35 Garvin, R., Otto, F., and McBae, D. (2000), Using Hand-held Computers to Document Family Practice Resident Procedure Experience, Family Medicine, 32(2), 115-118
36 Gregor, S. and Benbasat, I. (1999), Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice, MIS Quarterly, 23(4), 497-530
37 Varshney, U., Vetter, R.J., and Kalakota, R. (2000), Mobile Commerce: A New Frontier, Computer, 32-38
38 Criswell, D.F. and Parchman, M.L. (2002), Hand-held Computer Use in U.S. Family Practice Residency Programs, Journal of the American Medical Informatics Association, 9(1), 80-86
39 Fornell, C and Larcker, D.F. (1981), Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research, 18, 39-50
40 Geng, X. and Whinston, A.B. (2001), Profiting from Value-Added Wireless Services, Computer, 87-89
41 정보통신부, http://www.nic.go.kr
42 Goodhue, D.L., Littlefield, R., and Straub, D.W. (1997), The Measurement of the Impacts of the IIC on the End Users: The Survey, Journal of the American Society for Information Sciences, 48(5), 454-465
43 곽영식, 이광희, 이용희 (2000), 개인-조직 적합도의 결정요인에 관한 연구, 생산성논집, 13(4), 95-112
44 한국전자통신연구원, http://www.etri.re.kr
45 Goodhue, D.L. and Thompson, R.L. (1995), Task-Technology Fit and Individual Performance, MIS Quarterly, 19(2), 213-236
46 Dickson, G.W., DeSanctis, G., and McBride, D.J (1986), Understanding the Effectiveness of Computer Graphics for Decision Support: A Cumulative Experimental Approach, Communications of the ACM, 290),40-47
47 Stumpf, S.A, Brief, A.P., and Hartman, K. (1987), Self-Efficacy Expectations and Coping with Career-Related Events, Journal of Vocational Behavior, 31, 91-108
48 Davis, F.D., Bagozzi, R.P., and Warsaw, P.R. (1989), User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science, 35(8), 983-1003
49 King, R.C and Xia, W. (1997), Media Appropriateness: Effects of Experience on Communication Media Choice, Decision Sciences, 28(4), 877-910
50 Lee, S.M., Kim, Y.R. and Lee, J. (1995), An Empirical Study of the Relationships among End-User Information Systems Acceptance, Training, and Effectiveness, Journal of Management Information Systems, 12(2), 189-202
51 Bagozzi, R.P. (1982), A Field Investigation of Causal Relations Among Cognitions, Affect, Intentions and Behavior, Journal of Marketing Research, 19, 562-584
52 Hair, J.F., Anderson, Jr. R.E., Tarhan, R.L., and Black, W.C (1995), Maltivariate Data Analysis with Readings, 4th ed., Prentice Hall
53 Alderson, T.S. and Oswald, N.T. (1999), Clinical Experience of Medical Students in Primary Care: Use of an Electronic log in Monitoring Experince and in Guiding Education in the Cambridge Community based Clinical Course, Medical Education, 33(6), 429-433
54 Betz, N.E. and Hackett, G. (1981), The Relationships of Career-Related Self-Efficacy Expectations to Perceived Career Options in College Women and Men, Journal of Counseling Psychology, 28, 399-410
55 Pentland, B.T. (1989), Use and Productivity in Personal Computers: An Empirical Test, Proceedings of the 10'th International Conference on Information Systems, Boston, MA., 211-222
56 Swanson, E.B. (1987), Information Channel Disposition and Use, Decision Science , 18(1), 131-145
57 이인성, 김호영, 이연수, 김진우 (2001), 모바일 인터넷 서비스 시장의 변화추세에 관한 연구 사용자 욕구 변화를 중심으로 Information Systems Review, 3(1), 73-82
58 통계청, http://www.stat.go.kr/
59 Jerant, A.F.(1999), Training Residents in Medical Informatics, Family Medicine, 31(7), 465-472
60 Ross, J., Beath, C and Goodhue, D.L. (1996), Develop Long Term Competitiveness Through IT Assets, Sloan Management Review
61 Perrow, P. (1967), A Framework for the Comparative Analysis of Organization, American Sociological Review, 32(2), 194-208
62 Bird, S.B. and Zarum, R.S. (2001), Is ED Resident Patient Care Documentation Increased with the Use of Hand-held Computerized Devices), Academic Emergency Medicine, 8(5), 492
63 Barnes, S.J. (2002), The MobileCommerce Value Chain: Analysis and Future Developments, International Journal of Information Management, 22(2), 91-108
64 Kim, H., Kim, J., Lee, Y, Chae, M., and Choi, Y (2002), An Empirical Study of the Use Contexts and Usability Problems in Mobile Internet, Proceedings ofthe 35th Hawaii International Conference on System Sciences
65 Lamberti, D.M, and Wallace, WA (1990), Intelligent Interface Design: An Empirical Assesment of Knowledge Presentation in Expert Systems, MIS Quarterly, 14(3), 279-311
66 Bandura, A., Adams, N.E., and Beyer, J. (1977), Cognitive Process Mediating Behavioral Change, Journal of Personality and Society Psychology, 35(3), 125-139
67 Varshney, U. (2000), Recent Advances inWireless Networking, IEEE Computer, 33, 100-103
68 Jarvenpaa, S.L. and Ives, B. (1991), Organization for Global Competition: The Fit of Information Technology, Decision Science, 24(3), 547-480
69 Dhaliwal, J.S. and Benbasar, I. (1996), The Use and Effects of Knowledge Based System Explanations, Theoretical Foundations and a Framework for Empirical Evaluation, Information Systems Research, 7(3), 342-362
70 Nielsen, J. (1999), Graceful Degradation of Scalable Internet Services, WAP: Wrong Approach to Portability, Alert box at http://www.useit.com/alertbox/991031.html
71 Withey, M., Daft, R.L., and Cooper, W.H. (1983), Measures of Perrow's Work Unit Technology: An Empirical Assesment and a New Scale, Academy of Management Journal, 26(1), 45-63   DOI   ScienceOn
72 Zigurs, I. and Buckland, B.K. (1998), A Theory of Task/Technology Fit and Group Support Systems Effectiveness, MIS Quarterly, 22(3), 313-334
73 Hage, J. and Aiken, M. (1970), Social Changes in Complex Organizations, New York, Random House
74 Bedard, J (1989), Expertise in Auditing: Myth or Reality?, Accounting Organizations and Society, 14(1/2), 113-131
75 Helwig, A.L. and Flynn, C (1998), Using Palm-top Computers to Improve Students' Evidence-based Decision Making, Academic Medicine, 73(5), 603-604
76 O'Reilly, C.A. (1982), Variations in Decision Makers' Use of Information Sources: The Impact of Quality and Accessibility of Information, Academy of Management Journal, 25(4), 756-771   DOI   ScienceOn
77 Varshney, U. (2002), Multicast Support in Mobile Commerce Applications, Computer, 115-117