Do we Fully Understand the Critical Success Factors of Employee Portal utilitarianism? - Uncovering and Accounting for Unobserved Heterogeneity
暂无分享,去创建一个
[1] Detmar W. Straub,et al. Validating Instruments in MIS Research , 1989, MIS Q..
[2] H. Bozdogan. Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .
[3] W. DeSarbo,et al. An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data , 1993 .
[4] Christian M. Ringle,et al. Capturing and Treating Unobserved Heterogeneity by Response Based Segmentation in PLS Path Modeling. A Comparison of Alternative Methods by Computational Experiments , 2007 .
[5] I. Ajzen. The theory of planned behavior , 1991 .
[6] Ephraim R. McLean,et al. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..
[7] Jörg Henseler,et al. A New and Simple Approach to Multi-Group Analysis in Partial Least Squares Path Modeling , 2007 .
[8] Lawrence A. Gordon,et al. Information overload: A temporal approach☆ , 1990 .
[9] Christian M. Ringle,et al. Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples , 2010 .
[10] Chang Liu,et al. Determinants of accepting wireless mobile data services in China , 2008, Inf. Manag..
[11] H. Murray,et al. Explorations in Personality , 2007 .
[12] Marko Sarstedt,et al. Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data , 2010, Data Mining.
[13] Maiju Markova. The DeLone and McLean Model of Information Systems Success – Original and Updated Models , 2006 .
[14] Gregoris Mentzas,et al. Review and functional classification of collaborative systems , 2002, Int. J. Inf. Manag..
[15] H. Akaike. A new look at the statistical model identification , 1974 .
[16] Jong-Ae Kim,et al. Toward an understanding of Web-based subscription database acceptance , 2006, J. Assoc. Inf. Sci. Technol..
[17] Mohamad Noorman Masrek,et al. Measuring campus portal effectiveness and the contributing factors , 2007 .
[18] Kara A. Latorella,et al. The Scope and Importance of Human Interruption in Human-Computer Interaction Design , 2002, Hum. Comput. Interact..
[19] Christian M. Ringle,et al. A Genetic Algorithm Segmentation Approach for Uncovering and Separating Groups of Data in PLS Path Modeling , 2007 .
[20] J. Jacoby. Perspectives on Information Overload , 1984 .
[21] Jeffrey K. Liker,et al. Electronic Meeting Systems: Evidence from a Low Structure Environment , 1992, Inf. Syst. Res..
[22] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[23] John L. Bennett,et al. Groupware in Practice: An Interpretation of Work Experiences , 1991, Computerization and Controversy, 2nd Ed..
[24] Dewi Rooslani Tojib,et al. User satisfaction with business-to-employee portals: conceptualization and scale development , 2008, Eur. J. Inf. Syst..
[25] Zheng Zhou,et al. Development and validation of an instrument to measure user perceived service quality of information presenting Web portals , 2005, Inf. Manag..
[26] William J. Doll,et al. The Measurement of End-User Computing Satisfaction , 1988, MIS Q..
[27] H C Triandis,et al. Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.
[28] Nils Urbach,et al. Structural Equation Modeling in Information Systems Research Using Partial Least Squares , 2010 .
[29] Luiz Antonio Joia,et al. Analysis of the Effects of Technological and Organizational Features on Intranet and Portal Usage , 2008, AMCIS.
[30] Nils Urbach,et al. Changing systems to match their users' needs: understanding the realization of utilitarian value from employee portal use , 2011, ECIS.
[31] Frada Burstein,et al. A Practical Measure of Employee Satisfaction with B2E Portals , 2007, ICIS.
[32] Rudolf R. Sinkovics,et al. The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .
[33] Bengt Muthén,et al. Latent variable modeling in heterogeneous populations , 1989 .
[34] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[35] Gerold Riempp,et al. An empirical investigation of employee portal success , 2010, J. Strateg. Inf. Syst..
[36] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[37] M. Sarstedt,et al. Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? , 2011 .
[38] W. DeSarbo,et al. Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity , 1997 .
[39] C. Ringle,et al. Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach , 2006 .
[40] C. O'Reilly. Individuals and Information Overload in Organizations: Is More Necessarily Better? , 1980 .
[41] James J. Jiang,et al. E‐commerce user behavior model: an empirical study , 2000 .
[42] L. Cooper. A research agenda to reduce risk in new product development through knowledge management: a practitioner perspective , 2003 .
[43] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[44] Nassim Belbaly,et al. Corporate Portal: A Tool for Knowledge Management Synchronization , 2004, Int. J. Inf. Manag..
[45] M. Wedel,et al. Market Segmentation: Conceptual and Methodological Foundations , 1997 .
[46] Wynne W. Chin. Issues and Opinion on Structural Equation Modeling by , 2009 .
[47] D. Broadbent,et al. What makes interruptions disruptive? A study of length, similarity, and complexity , 1989 .
[48] Jong-Ae Kim. Toward an understanding of Web-based subscription database acceptance , 2006 .
[49] H. Raghav Rao,et al. Knowledge Acquisition via Three Learning Processes in Enterprise Information Portals: Learning-by-Investment, Learning-by-Doing, and Learning-from-Others , 2005, MIS Q..
[50] Kamel Jedidi,et al. A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models , 2000 .
[51] Georg Fassott,et al. Handbuch PLS-Pfadmodellierung. Methode, Anwendung, Praxisbeispiele , 2005 .
[52] John Sweller,et al. Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..
[53] Marko Sarstedt,et al. Structural modeling of heterogeneous data with partial least squares , 2010 .
[54] Marko Sarstedt,et al. Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? - Extending Festge and Schwaiger’s Model to Account for Unobserved Heterogeneity , 2009 .
[55] Robert J. McQueen. The effect of voice input on information exchange in computer supported asynchronous group communication , 1992 .
[56] Frank Huber,et al. Capturing Customer Heterogeneity using a Finite Mixture PLS Approach , 2002 .
[57] Robert J. McQueen,et al. A field study of the effects of asynchronous groupware support on process improvement groups , 1997, J. Inf. Technol..
[58] Frank Huber,et al. Capturing Heterogeneity in Customer Satisfaction Models: A finite Mixture PLS Approach , 2002 .
[59] John Hulland,et al. Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .
[60] Dale Goodhue,et al. Task-Technology Fit and Individual Performance , 1995, MIS Q..
[61] J. Cellier,et al. Interference between switched tasks , 1992 .
[62] M. Sarstedt. A review of recent approaches for capturing heterogeneity in partial least squares path modelling , 2008 .
[63] Franci Pivec. Computerization and controversy: value conflicts and social choices , 2003 .
[64] V. E. Vinzi,et al. REBUS-PLS: A response-based procedure for detecting unit segments in PLS path modelling , 2008 .
[65] Na Li,et al. The Intellectual Development of Human-Computer Interaction Research: A Critical Assessment of the MIS Literature (1990-2002) , 2005, J. Assoc. Inf. Syst..