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http://dx.doi.org/10.9716/KITS.2011.10.2.203

The Structural Equation Modeling in MIS : The Perspectives of Lisrel and PLS Applications  

Kim, In-Jai (동국대학교 경영대학 경영정보학과)
Min, Geum-Young (동국대학교 경영대학 경영정보학과)
Shim, Hyoung-Seop (동국대학교 경영대학 경영정보학과)
Publication Information
Journal of Information Technology Services / v.10, no.2, 2011 , pp. 203-221 More about this Journal
Abstract
The purpose of this study is to investigate the applications of Structural Equation Modeling(SEM) into MIS area in recent years. Two methodologies, Lisrel and PLS, are adopted for the method comparison. A research model, based upon TAM(Technology Acceptance Model) is used for the analysis of the data set of a previous study. The research model includes six research variables that are composed of twenty-eight question items. 272 data are used for data analyses through Lisrel v.8.72 and Visual PLS v.1.04. This study shows the statistical results of Lisrel are the same to those of PLS. The contribution of this study can be suggested as the followings; (1) A theoretical comparison of two methodologies is shown, (2) A statistical analysis is done at a real-situated data set, and (3) Several implications are suggested.
Keywords
Structural Equation Modeling(SEM); Partial Least Square(PLS); Lisrel; Technology Acceptance Model(TAM); Measurement Model; Structural Model; Model Fitness; Latent Variable;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Gaston Sanchez, "Partial Least Squares Path Modeling", www.docstoc.com.
2 Chin, W. W., The Partial Least Squares Approach to Structural Equation Modeling. G. Marcoulides(ed), Erlbaum Associates, 1998.
3 Docstoc, "PLS-Historical Review", www.docstoc.com.
4 Efron, B. and R. J. Tibshirani, "An introduction to the bootstrap, Monographs on Statistics and Applied Probability", Chapman and Hall, Vol.57(1993), p.436.
5 Falk, R. E. and N. B. Miller, A Primer on Soft Modeling, The University of Akron Press, Akron, OH, 1992.
6 Browne, M. W. and R. Cudeck, Alternative Ways of Assessing Model Fit, In Covariance Structure, British Journal of Mathematical and Statistical Psychology, 1993.
7 Bagozzi, R. P. and C. Fornell, "Theoretical Concepts, Measurement, and Meaning", A Second Generation of Multivariate Analysis, Measurement and Evaluation, Vol.2(1982), pp.5-23.
8 Byrne, B. M., Structural Equation Modeling with LISREL, PRELIS and SIMPLE ; Basic Concepts, Applications and Programming, Erlbaum, 1998.
9 Chin, W. W., The Partial Least Squares Approach to Structural Equation Modeling. G. Marcoulides(ed), Erlbaum Associates, 1998.
10 Bacon, L., "Using Lisrel and PLS Measure Customer Satisfaction", 7th Annual Sawtooth Software Conference, (1999), pp.440-452.
11 Baumgartner, H. and C. Homburg, "Applications of Structural Equation Modeling in Marketing and Consumer Research:A Review", International Journal of Research in Marketing, Vol.13, No.2(1996), pp.139-161.   DOI   ScienceOn
12 Bearden, W. D., S. Sharma, and J. E. Teel, "Sample Size Effects on Chi-Square and Other Statistics used in Evaluating Causal Models", Journal of Marketing Research, Vol.19(1982), pp.425-430.   DOI   ScienceOn
13 Bentler, P. M., Multivariate Analysis with Latent Variables:Causal Modeling, Annual Review of Psychology, 1980.
14 Anderson, J. C. and D. W. Gerbing, "Structural Equation Modeling in Practice:A Review and Recommended Two-Step Approach", Psychological Bulletin, Vol.103, No.4 (1988), pp.411-423.   DOI
15 이학식, 임지훈, 구조방정식모형 분석과 AMOS 16.0, 법문사, 2009.
16 조병탁, 이진용, 박성용, 이재형, "브랜드경영 시스템과 마케팅믹스 활동이 브랜드 성과에 미치는 영향에 관한 연구", 마케팅과학연구, 제15권, 제2호(2005), pp.71-97.
17 조현철, 구조방정식 모델 SIMPLE and AMOS, 석정, 2003.
18 배병렬, LISREL 구조방정식 모델 이해, 활용 및 프로그램, 청람, 2005.
19 김종만, 김인재, "C4I 시스템 사용의 영향 요인에 관한 연구:구조모형의 매개변수의 관점에서", Asia Pacific Journal of Information System, 제19권, 제2호(2009), pp.73-94.
20 박상철, 김종욱, "인터넷 경매과정에서 입찰자의 입찰지속의지 영향요인에 관한 연구:몰입의 에스켈레이션을 중심으로", 경영학연구, 제36권, 제5호(2007), pp.1359-1385.
21 Yi, M. Y. and F. D. Davis, "Development and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition", Information System Research, Vol.14, No.2(2003), pp.146-169.   DOI   ScienceOn
22 유철우, 김용진, 문정훈, 최영찬, "무리행동과 지각된 유용성이 이러닝 컨텐츠 구매의도에 미치는 영향:구매경험에 의한 비교분석", 경영정보학연구, 제18권, 제4호(2008), pp.105-130.
23 고미현, 권순동, "인터넷 커뮤니티에서 사용자 참여가 밀착도와 지속적 이용의도에 미치는 영향", 경영정보학연구, 제18권, 제2호(2008), pp.41-72.
24 김계수, 성공적인 논문작성을 위한 Amos/Lisrel 이용 인과분석 연구방법론, 청람, 2008.
25 김병수, 허용석, 한인구, 이희석, "지식경영활동의 혁신역량으로의 연계:IT서비스 산업 중심으로", 지식경영연구, 제11권, 제1호(2010), pp.97-113.
26 김종기, 전진환, "국내 MIS 연구에서 구조방 정식모형 활용에 관한 메타분석", 경영정보학연구, 제19권, 제4호(2009), pp.47-66.
27 Tomarken, A, J. and N. G. Waller, "Potential problems with 'well fitting' models", Journal of Abnormal Psychology, Vol.112 (2003), pp.578-598.   DOI
28 Vinzi, V. E. and L. Trinchera, Latent Class Detection in Component-based Structural Equation Modeling, CERESSEC, 2006.
29 Schumacker, R. E. and R. G. Lomax, A Beginner is Guide to Structural Equation Modeling, Hillsdale, N. J., 1996.
30 Rex B. Kline, Principles and Practices of Structural Equation Modeling, 2nd ed, New York; Guilford Press, 2004.
31 Shah, R. and S. M. Goldstein, "Use of Structural Equation Modeling in Operations Management Research:Looking Back and Forward", Journal of Operations Management, Vol.24, No.2(2006), pp.148-169.   DOI   ScienceOn
32 Steiger, J. H., Structural Model Evaluation and Modification:An Interval Estimation Approach, Multivariate Behavioral Research, 1990.
33 Marsh, H. W., J. R. Balla, and R. P. McDonald, Goodness-of-Fit Indices in Confirmatory Factor Analysis:The Effects of Sample Size, Psychological Bulletin, 1998.
34 Temme, D., H. Kreis, and L. Hildebrandt, PLS Path Modeling:A Software Review, SFB 649 Discussion Paper 2006-084, 2006.
35 Tobias, R. D., "An Introduction to Partial Least Squires Regression", in Proceedings of the Twentieth Annual SAS Users Group International Conference, Cary, NC:SAS Institute Inc., (1995), pp.1250-1257.
36 Joreskong, K. G. and D. Sorbom, Structural Equation Modeling with the SIMPLIS Command Language, Scientific Software International Inc, 1998.
37 Jaccard, J. and C. K. Wan, LISREL Approaches to Interration Effects in Multiple Regression, Thousand Oaks, Galif, 1996.
38 Pavlou, P. and D. Gefen, "Psychological Contract Violation in Online Marketplaces:Antecedents, Consequences, and Moderating Role", Information System Research, Vol.16, No.4(2005), pp.372-399.   DOI   ScienceOn
39 Rex B. Kline, Beyond significance testing:Reforming data analysis methods in behavioral research, American Psychological Association, 2004.
40 Rex B. Kline, Principles and Practices of Structural Equation Modeling, 1nd ed, New York ; Guilford Press, 1998.
41 Fornall, C. and F. L. Bookstein, "Two Structural Equation Models:Lisrel and PLS Applied to Consumer Exit-Voice Theory", Journal of Marketing Research, Vol.191, No.4(1982), pp.440-452.
42 Jöreskog, K. G., "Some Contributions to Maximum Likelihood Factor Analysis", Psychometrika, Vol.32, No.4(1967), pp.443-482.   DOI   ScienceOn
43 Joreskong, K. G. and D. Sorbom, LISREL 7; A Guide to the Program and Application, SPSS Publications, 1989.
44 Gefen, D. and D. Straub, "A Practical Guide to Factorial Guide to Factorial Validity Using PLS-Graph:Tutorial and Annotated Example", Communications of the Association for Information Systems, Vol.16(2005), pp.91-109.
45 Gefen, D., D. W. Straub, and M. Boudreau, "Structural Equation Modeling and Regression: Guidelines for Research Practice", Communication of the Association for Information Systems, Vol.4(2000), pp.1-79.
46 Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis, Prentice Hall, 1998.