Investigating Determinants of Medical User Expectations from Hospital Information System
User satisfaction is one of the most used success
indicators in the research of information system (IS). Literature
shows user expectations have great influence on user satisfaction.
Both expectation and satisfaction of users are important for Hospital
Information Systems (HIS). Education, IS experience, age, attitude
towards change, business title, sex and working unit of the hospital,
are examined as the potential determinant of the medical users’
expectations. Data about medical user expectations are collected by
the “Expectation Questionnaire” developed for this study.
Expectation data are used for calculating the Expectation Meeting
Ratio (EMR) with the evaluation framework also developed for this
study. The internal consistencies of the answers to the questionnaire
are measured by Cronbach´s Alpha coefficient. The multivariate
analysis of medical user’s EMRs of HIS is performed by forward
stepwise binary logistic regression analysis. Education and business
title is appeared to be the determinants of expectations from HIS.
[1] E. Ammenwerth, C. Iller , C. Mahler, "IT-adoption and the interaction of
task, technology and individuals: a fit framework and a case study,"
BMC Medical Informatics and Decision Making, vol.6, pp. 1-113, Jan
2006.
[2] F. Bergeron, L. Raymond, "Evaluation of EIS from a managerial
perspective," Journal of Information Systems, vol. 2), pp.45-60, Jan
1992.
[3] P. Poon, C. Wagner, "Critical success factors revisited: success and
failure cases of information systems for senior executives," Decision
Support Systems, vol. 30, pp.393-418, Mar 2001.
[4] W. Doll, G. Torkzadeh, "A discrepancy model of end user computing
involvement," Management Science, vol. 35, pp. 1151-1171,Oct 1989.
[5] B. Szajna, R. W. Scamell, "The Effects of Information System User
Expectations on Their Performance and Perceptions," MIS Quarterly,
vol.17, pp. 493-525, Dec 1993.
[6] A. L. Geers P. E. Weiland, K. Kosbab, S. Landry, S.G. Helfer, "Goal
activation, expectations, and the placebo effect,", J Pers Soc Psychol,vol.
89(2), pp. 143-159, Aug 2005.
[7] D.W. Conrath, O. P. Mignen, "What is being done to measure user
satisfaction with EDP/MIS," Information and Management, vol. 19, pp.
7-19, Aug 1990.
[8] A. Rushinek, S. E.Rushinek, "What makes computer users happy?"
Communications of the ACM, vol. 29, pp. 594-598, Jul 1986.
[9] W. H. DeLone, E. R. McLean, "Measuring e-commerce success:
applying the DeLone & McLean Information Systems Success Model,"
International Journal of Electronic Commerce, vol. 9, pp. 31-47, Fall
2004.
[10] M.A. Mahmood, J. M. Burn, L. A. Gemoets, C. Jacquez, "Variables
affecting information technology end-user satisfaction: a meta-analysis
of the empirical literature," International Journal of Human-Computer
Studies,vol. 52, pp.751-771, Apr 2000.
[11] N. Au, E. W. T. Ngai, T. C. E. Cheng, "A critical review of end-user
information system satisfaction research and a new research
framework", Omega, vol.30, pp. 451-478, Dec 2002.
[12] R. Ryker, R. Nath, J. Henson, "Determinants Of Computer User
Expectations And Their Relationships With User Satisfaction: An
Empirical Study," Information Processing & Management, vol. 33, pp.
529-537, Jul 1997.
[13] G. G├╝rsel, N. Zayim, K. H. G├╝lkesen, A. Arifo─ƒlu, O. Saka, "A new
approach in the evaluation of hospital information systems," Turkish
Journal of Electrical Engineering & Computer Sciences, to be published.
[14] D. Dubois, H. Prade, "When upper probabilities are possibility
measures," Fuzzy Sets and Systems, vol. 49, pp. 65-74, Jul 1992.
[15] M. F. Chen, G.H Tzeng, C. G. Ding, "Combining fuzzy AHP with MDS
in identifying the preference similarity of alternatives," Applied Soft
Computing, vol. 8, pp.110-117, Dec 2008.
[16] A. L. Lederer, A. L. Mendelow, "The impact of the environment on the
management of information systems," Information Systems Research,
vol. 1, pp. 205-222, Jun 1990.
[17] S. R. Magal, H. C. Houston, H.J. Watson, "Critical success factors for
information center managers," MIS Quarterly, vol. 12, pp. 413-425, Sep
1988.
[18] D. S. Staples, I. Wong, P. B. Seddon, "Having expectations of
information systems benefits that match received benefits: does it really
matter?" Information & Management, vol. 40, pp.115-131, Dec 2002.
[19] M. J. Ginzberg, "Early diagnosis of MIS implementation failure:
Promising results and unanswered questions," Management Science,
vol. 27, pp. 459-478, Apr 1981.
[20] D. Nevo, E. C. Yolande, "A temporal approach to expectations and
desires from knowledge management systems," Decision Support
Systems,vol. 44, pp. 298-312, Nov 2007.
[1] E. Ammenwerth, C. Iller , C. Mahler, "IT-adoption and the interaction of
task, technology and individuals: a fit framework and a case study,"
BMC Medical Informatics and Decision Making, vol.6, pp. 1-113, Jan
2006.
[2] F. Bergeron, L. Raymond, "Evaluation of EIS from a managerial
perspective," Journal of Information Systems, vol. 2), pp.45-60, Jan
1992.
[3] P. Poon, C. Wagner, "Critical success factors revisited: success and
failure cases of information systems for senior executives," Decision
Support Systems, vol. 30, pp.393-418, Mar 2001.
[4] W. Doll, G. Torkzadeh, "A discrepancy model of end user computing
involvement," Management Science, vol. 35, pp. 1151-1171,Oct 1989.
[5] B. Szajna, R. W. Scamell, "The Effects of Information System User
Expectations on Their Performance and Perceptions," MIS Quarterly,
vol.17, pp. 493-525, Dec 1993.
[6] A. L. Geers P. E. Weiland, K. Kosbab, S. Landry, S.G. Helfer, "Goal
activation, expectations, and the placebo effect,", J Pers Soc Psychol,vol.
89(2), pp. 143-159, Aug 2005.
[7] D.W. Conrath, O. P. Mignen, "What is being done to measure user
satisfaction with EDP/MIS," Information and Management, vol. 19, pp.
7-19, Aug 1990.
[8] A. Rushinek, S. E.Rushinek, "What makes computer users happy?"
Communications of the ACM, vol. 29, pp. 594-598, Jul 1986.
[9] W. H. DeLone, E. R. McLean, "Measuring e-commerce success:
applying the DeLone & McLean Information Systems Success Model,"
International Journal of Electronic Commerce, vol. 9, pp. 31-47, Fall
2004.
[10] M.A. Mahmood, J. M. Burn, L. A. Gemoets, C. Jacquez, "Variables
affecting information technology end-user satisfaction: a meta-analysis
of the empirical literature," International Journal of Human-Computer
Studies,vol. 52, pp.751-771, Apr 2000.
[11] N. Au, E. W. T. Ngai, T. C. E. Cheng, "A critical review of end-user
information system satisfaction research and a new research
framework", Omega, vol.30, pp. 451-478, Dec 2002.
[12] R. Ryker, R. Nath, J. Henson, "Determinants Of Computer User
Expectations And Their Relationships With User Satisfaction: An
Empirical Study," Information Processing & Management, vol. 33, pp.
529-537, Jul 1997.
[13] G. G├╝rsel, N. Zayim, K. H. G├╝lkesen, A. Arifo─ƒlu, O. Saka, "A new
approach in the evaluation of hospital information systems," Turkish
Journal of Electrical Engineering & Computer Sciences, to be published.
[14] D. Dubois, H. Prade, "When upper probabilities are possibility
measures," Fuzzy Sets and Systems, vol. 49, pp. 65-74, Jul 1992.
[15] M. F. Chen, G.H Tzeng, C. G. Ding, "Combining fuzzy AHP with MDS
in identifying the preference similarity of alternatives," Applied Soft
Computing, vol. 8, pp.110-117, Dec 2008.
[16] A. L. Lederer, A. L. Mendelow, "The impact of the environment on the
management of information systems," Information Systems Research,
vol. 1, pp. 205-222, Jun 1990.
[17] S. R. Magal, H. C. Houston, H.J. Watson, "Critical success factors for
information center managers," MIS Quarterly, vol. 12, pp. 413-425, Sep
1988.
[18] D. S. Staples, I. Wong, P. B. Seddon, "Having expectations of
information systems benefits that match received benefits: does it really
matter?" Information & Management, vol. 40, pp.115-131, Dec 2002.
[19] M. J. Ginzberg, "Early diagnosis of MIS implementation failure:
Promising results and unanswered questions," Management Science,
vol. 27, pp. 459-478, Apr 1981.
[20] D. Nevo, E. C. Yolande, "A temporal approach to expectations and
desires from knowledge management systems," Decision Support
Systems,vol. 44, pp. 298-312, Nov 2007.
@article{"International Journal of Information, Control and Computer Sciences:62238", author = "G. Gürsel and K. H. Gülkesen and N. Zayim and A. Arifoğlu and O. Saka", title = "Investigating Determinants of Medical User Expectations from Hospital Information System", abstract = "User satisfaction is one of the most used success
indicators in the research of information system (IS). Literature
shows user expectations have great influence on user satisfaction.
Both expectation and satisfaction of users are important for Hospital
Information Systems (HIS). Education, IS experience, age, attitude
towards change, business title, sex and working unit of the hospital,
are examined as the potential determinant of the medical users’
expectations. Data about medical user expectations are collected by
the “Expectation Questionnaire” developed for this study.
Expectation data are used for calculating the Expectation Meeting
Ratio (EMR) with the evaluation framework also developed for this
study. The internal consistencies of the answers to the questionnaire
are measured by Cronbach´s Alpha coefficient. The multivariate
analysis of medical user’s EMRs of HIS is performed by forward
stepwise binary logistic regression analysis. Education and business
title is appeared to be the determinants of expectations from HIS.", keywords = "Evaluation, Fuzzy Logic, Hospital Information
System, User Expectation.", volume = "6", number = "11", pages = "1474-6", }
