Latent growth modeling for information systems: Theoretical extensions and practical applications

Information Systems Research

Volumn 25, Issue 3, 2014, Pages 547-568

  Zheng, Zhiqiang ^a   Pavlou, Paul A ^b   Gu, Bin ^c  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b TEMPLE UNIVERSITY   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

d separation; Latent growth modeling; LGM; Longitudinal data; Word of mouth

Indexed keywords

REVIEWS; SEPARATION;

CONDITIONAL INDEPENDENCES; EXTENSIVE SIMULATIONS; FUNDAMENTAL PROPERTIES; GROWTH MODELING; LONGITUDINAL DATA; ONLINE PRODUCT REVIEWS; WORD OF MOUTH; WORD-OF-MOUTH COMMUNICATION;

INFORMATION SYSTEMS;

EID: 84907586141     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/isre.2014.0528     Document Type: Article

References (71)

1. Bagozzi R, Yi Y (2012) Specification, evaluation, and interpretation of structural equation models. J. Acad. Marketing Sci. 40(1):8-34.
2. Bala H, Venkatesh V (2013) Changes in employees' job characteristics during an enterprise system implementation: A latent growth modeling perspective. MIS Quart. 37(4):1113-1140.
3. Bapna R, Jank W, Shmueli G (2008) Price formation and its dynamics in online auctions. Decision Support Systems 44(3):641-656.
4. Bardhan I, Cath O, Zheng Z, Kirksey K (2014) A predictive model for readmission of patients with congestive heart failure. Inform.Systems Res. Forthcoming.
5. Baron R, Kenny D (1986) The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Personality Soc. Psych. 51(6):1173-1182.
6. Bauer DJ (2003) Estimating multilevel linear models as structural equation models. J. Educational Behav. Statist. 28(2):134-167.
7. Bhattacherjee A, Premkumar G (2004) Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quart. 28(2):351-370.
8. Boh W, Slaughter S, Spinosa S (2007) Learning from experience in software development: A multilevel analysis. Management Sci.53(8):1315-1331.
9. Bollen K, Curran P (2006) Latent Curve Models: A Structural Equation Perspective (Wiley & Sons, Hoboken, NJ)
10. Boudreau M, Gefen D, Straub DW (2001) Validation in information systems research: A state-of-the-art assessment. MIS Quart.25(1):1-16.
11. Box GEP, Pierce DA (1970) Distribution of residual autocorrelations in autoregressive integrated moving average time series models.J. Amer. Statist. Assoc. 65(332):1509-1526.
12. Chatterjee P (2001) Online reviews: Do consumers use them? Gilly MC, Meyers-Levy J, eds. Advances in Consumer Research, Vol. 28 (Association for Consumer Research, Valdosta, GA), 129-133.
13. Cogley T, Sargent TJ (2005) Drifts and volatilities: Monetary policies and outcomes in the post WWII, US. Rev. Econom. Dynam.8(2):262-302.
14. Cooley TF, Prescott EC (1976) Estimation in the presence of stochastic parameter variation. Econometrica 44(1):167-184.
15. Curran P, Willoughby T (2003) Implications of latent trajectory models for the study of developmental psychopathology. Developmental Psychopathology 15(3):581-612.
16. Curran P, Bauer D, Willoughby T (2004) Testing main effects and interactions in latent curve analysis. Psych. Methods 9(2):220-237.
17. Daft RL, Lengel RH (1986) Organizational information requirements, media richness and structural design. Management Sci. 32(5): 554-571.
18. Dewan S, Ramaprasad J (2014) Social media, traditional media and music sales: A panel VAR approach. Inform. Systems Res.38(1):102-122.
19. Diggle P, Heagerty P, Liang K, Zeger S (2013) Analysis of Longitudinal Data (Oxford University Press, Oxford, UK)
20. Duan W, Gu B, Whinston A (2008) Do online reviews matter?-An empirical investigation of panel data. Decision Support Systems 45(3):1007-1016.
21. Duan W, Gu B, Whinston A (2009) Informational cascades and software adoption on the Internet: An empirical investigation.MIS Quart. 33(1):23-48.
22. Duncan TE, Duncan SC, Strycker LA (2006) An Introduction to Latent Variable Growth Curve Modeling (Lawrence Erlbaum Associates, Mahwah, NJ)
23. Fichman R, Kemerer C (1999) The illusory diffusion of innovation: An examination of assimilation gaps. Inform. Systems Res. 10(3): 255-275.
24. George JM, Jones GR (2000) The role of time in theory and theory building. J. Management 26(4):657-684.
25. Geweke J (2007) Bayesian model comparison and validation. Amer.Econom. Rev. 97(2):60-64.
26. Goldstein H (1995) Multilevel Statistical Models (John Wiley & Sons, New York)
27. Gottfried AE, Marcoulides GA, Gottfried AW, Oliver PH (2009) A latent curve model of parental motivational practices and developmental decline in math and science academic intrinsic motivation. J. Educational Psych. 101(3):729-739.
28. Guo W (2004) Functional data analysis in longitudinal settings using smoothing splines. Statist. Methods Medical Res. 13(1):49-62.
29. Hall P, Muller H, Wang J (2006) Properties of principal component methods for functional and longitudinal data analysis. Ann.Statist. 34(3):1493-1517.
30. Heinen T (1996) Latent Class and Discrete Latent Trait Models (Sage Publications, New York)
31. Hsiao C, Pesaran M (2008) Random coefficient model. Matyas L, Sevestre P, eds. The Econometrics of Panel Data (Springer-Verlag, Berlin Heidelberg), 185-213.
32. Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.Structural Equation Modeling 6(1):1-55.
33. Jabr W, Zheng Z (2014) Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment. MIS Quart. 38(3):635-654.
34. Jackman S (2009) Bayesian Analysis for the Social Sciences (John Wiley, New York)
35. Jank W, Shmueli G (2006) Functional data analysis in electronic commerce research. Statist. Sci. 21(2):155-166.
36. Kim D, Ferrin D, Rao H (2009) Trust and satisfaction, the two wheels for successful e-commerce transactions: A longitudinal exploration. Inform. Systems Res. 20(2):237-257.
37. Kline R (2011) Principles and Practice of Structural Equation Modeling, 3rd ed. (Guilford Press, New York).
38. Lecinski J (2011) ZMOT Handbook-Ways to Win Shoppers at the Zero Moment of Truth. Accessed July 28, 2014, http://www.zeromomentoftruth.com/assets/files/ZMOT_Handbook.pdf.
39. Levinthal D, March J (1993) The myopia of learning. Strategic Management J. 14(S2):95-112.
40. Lewicki RJ, Tomlinson EC, Gillespie N (2006) Models of interpersonal trust development: Theoretical approaches, empirical evidence, and future directions. J. Management 32(6):991-1022.
41. Liu Y (2006) Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing 70(3):74-89.
42. MacKenzie S, Podsakoff P, Podsakoff N (2011) Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quart. 35(2): 293-334.
43. Marcoulides GA, Hershberger SL (1997) Multivariate Statistical Methods: A First Course (Lawrence Erlbaum Associates, Mahwah, NJ)
44. Massey A, Montoya-Weiss M (2006) Unraveling the temporal fabric of knowledge conversion: A model of media selection and use.MIS Quart. 30(1):99-114.
45. Mitchell T, James L (2001) Building better theory: Time and the specification of when things happen. Acad. Management Rev.26(4):530-547.
46. Mithas S, Ramasubbu N, Krishnan MS, Fornell C (2006) Designing websites for customer loyalty across business domains: A multilevel analysis. J. Management Inform. Systems 23(3): 97-127.
47. Oh W, Lucas HC Jr (2006) Information technology and pricing decisions: Price adjustments in online computer markets. MIS Quart. 30(3):755-775.
48. Pavlou P, Gefen D (2004) Building effective online marketplaces with institution-based trust. Inform. Systems Res. 15(1): 37-59.
49. Pavlou PA, El Sawy OA (2010) The "third hand": IT-enabled competitive advantage in turbulence through improvisational capabilities.Inform. Systems Res. 21(3):443-471.
50. Pearl J (2009) Causality: Models, Reasoning and Inference, 2nd ed.(Cambridge University Press, New York).
51. Pearl J (2012) The causal foundations of structural equations modeling.Hoyle RH, ed. Handbook of Structural Equation Modeling (Guilford Press, New York).
52. Pitariu A, Ployhart R (2010) Explaining change: Theorizing and testing dynamic mediated longitudinal relationships. J. Management 36(2):405-429.
53. Preacher K, Wichman A, Maccallum R, Briggs N (2008) Latent Growth Curve Modeling (Sage Publications, Thousand Oaks, CA)
54. Qureshi I, Fang Y (2011) Socialization in open source software projects: A growth mixture modeling approach. Organ. Res.Methods 14(1):208-239.
55. Rai A, Pavlou PA, Im G, Du S (2012) Inter-firm IT capability profiles and communications for co-creating relational value: Evidence from the logistics industry. MIS Quart. 36(1):233-262.
56. Ramsey J, Silverman W (2005) Functional Data Analysis, 2nd ed.(Springer, New York).
57. Raykov T, Marcoulides GA (2008) An Introduction to Applied Multivariate Analysis (Lawrence Erlbaum Associates, Mahwah, NJ)
58. Serva M, Kher H, Larenceau J (2011) Using latent growth modeling to understand longitudinal effects in MIS theory: A primer.Comm. AIS 28(1):213-232.
59. Silva R, Scheines R, Glymour C, Spirtes P (2006) Learning the structure of linear latent variables. J. Machine Learn. Res. 7(2):191-246.
60. Spirtes P, Glymour C, Scheines R (2000) Causation, Prediction and Search, 2nd ed. (Springer-Verlag, New York).
61. Spliid H (1983) A fast estimation for the vector autoregressive moving average models with exogenous variables. J. Amer. Statist. Assoc.78(384):843-849.
62. Straub DW (1989) Validating instruments in MIS research. MIS Quart.13(2):147-169.
63. Trusov M, Bucklin R, Pauwels K (2009) Effects of word-of-mouth versus traditional marketing: Findings from an Internet social networking site. J. Marketing 73(3):90-102.
64. Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Sci. 46(2):186-204.
65. Wang P (2010) Chasing the hottest IT: Effects of information technology fashion on organizations. MIS Quart. 34(1):63-85.
66. Wang S, Jank W, Shmueli G, Smith P (2008) Modeling price dynamics in eBay auctions using differential equations. J. Amer. Statist.Assoc. 103(483):1100-1118.
67. Whiteman S, Mroczek D (2007) A brief introduction to growth curve models. Irish J. Psych. 28(1):77-85.
68. Wooldridge JM (2010) Econometrics Analysis of Cross Section and Panel Data, 2nd ed. (MIT Press, Cambridge, MA).
69. Xue L, Ray G, Gu B (2011) Environmental uncertainty and IT infrastructure governance: A curvilinear relationship. Inform.Systems Res. 22(2):389-399.
70. Yao F, Muller H, Wang J (2005) Functional linear regression analysis for longitudinal data. Ann. Statist. 33(6):2873-2903.
71. Zheng Z, Pavlou P (2010) Toward a causal interpretation from observational data: A new bayesian networks method for structural models with latent variables. Inform. Systems Res.21(2):365-391.