TY - GEN
T1 - The use of meta-analysis in validating the DeLone and McLean information systems success model
AU - Hwang, M.
AU - McLean, E. R.
N1 - Publisher Copyright:
© 1996 IEEE.
PY - 1996
Y1 - 1996
N2 - The measurement of systems success is important to any research on information systems. A research study typically uses several dependent measures as surrogates for systems success. These dependent measures are generally treated as outcome variables which, as a group, vary as a function of certain independent variables. Recently, a process perspective has been advocated to measure system success. This process perspective recognizes that some of the dependent measures, along with independent variables, also have an impact on outcome variables. A comprehensive success model has been developed by DeLone and McLean (1992) to group success measures cited in the literature into three categories: quality, use, and impact. This model further predicts that quality affects use, which in turn affects impact. This paper explores the plausibility of using meta-analysis to validate this success model. Advantages of using meta-analysis over other research methodologies in validating process models are examined. Potential problems with meta-analysis in validating this particular success model are discussed. A research plan that utilizes past empirical studies to validate this success model is described.
AB - The measurement of systems success is important to any research on information systems. A research study typically uses several dependent measures as surrogates for systems success. These dependent measures are generally treated as outcome variables which, as a group, vary as a function of certain independent variables. Recently, a process perspective has been advocated to measure system success. This process perspective recognizes that some of the dependent measures, along with independent variables, also have an impact on outcome variables. A comprehensive success model has been developed by DeLone and McLean (1992) to group success measures cited in the literature into three categories: quality, use, and impact. This model further predicts that quality affects use, which in turn affects impact. This paper explores the plausibility of using meta-analysis to validate this success model. Advantages of using meta-analysis over other research methodologies in validating process models are examined. Potential problems with meta-analysis in validating this particular success model are discussed. A research plan that utilizes past empirical studies to validate this success model is described.
UR - http://www.scopus.com/inward/record.url?scp=0039840855&partnerID=8YFLogxK
U2 - 10.1109/HICSS.1996.495324
DO - 10.1109/HICSS.1996.495324
M3 - Conference contribution
AN - SCOPUS:0039840855
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 176
EP - 180
BT - Information Systems - Organizational Systems and Technology
PB - IEEE Computer Society
Y2 - 3 January 1996 through 6 January 1996
ER -