© Eldon Y. Li

READINGS:

[1]       *Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (2), 179-211.

[2]       Bagozzi, R. and Phillips, L. (1991) Assessing construct validity in organizational research. Administrative Science Quarterly, 36 (3), 421-458.

[3]       *Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25 (3), 351-370.

[4]       Bhattacherjee, A. and Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test. MIS Quarterly, 28 (2), 229-254.

[5]       Bock, G.W., Zmud, R.W., Kim, Y.G., Lee, J.N. (2005.3). Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces and organizational climate. MIS Quarterly, 29 (1), 87-101.

[6]       Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1), 3-21.

[7]       *Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35 (8), 982-1003.

[8]       *DeLone, W. and McLean, E. (2003). The DeLone and McLean Model of information systems success: a ten-year update. Journal of Management Information Systems, 19 (4), 9-30.

[9]       DeSanctis, G., & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science, 5(2), 121-147.

[10]   Doll, W.J., Xia, W. and Torkzadeh, G. (1994). A confirmation of factor analysis of the end-user computer satisfaction instrument. MIS Quarterly, 18 (4), 453-461.

[11]   Drnevich, P.L. and Croson, D.C. (2013). Information technology and business-level strategy: toward an integrated theoretical perspective. MIS Quarterly, 37 (2), 483-509.

[12]   *Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.

[13]   Hartwick, J. and Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40 (4), 440-465.

[14]   Jiang, Z. and Benbasat, I. (2005). The Effect of presentation formats and task complexity on online consumers’ product understanding. MIS Quarterly, 31 (3), 475-500.

[15]   *Karahanna, E., Straub, D.W. and Chervany, N.L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23 (2), 183-213.

[16]   Lewis, W., Agarwal, R. and Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. MIS Quarterly, 27 (4), 657-678.

[17]   *Li, E.Y., Liao, C.H., Yen, H.J.R. (2013.11) “Co-Authorship Networks and Research Impact: A Social Capital Perspective,” Research Policy (Elsevier), 42 (9), 1515-1530. (Lecture by Eldon)

[18]   *Li, E.Y., Tung, C.Y., Chang, S.H. (2016.8). The Wisdom of Crowds in Action: Forecasting Epidemic Diseases with a Web-based Prediction Market System. International Journal of Medical Informatics, 92, 35-43. (Lecture by Eldon)

[19]   Limayem, M., Hirt, S.G., and Cheung, M.K. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31 (4), 705-737.

[20]   Malhotra, Y., Galletta, D.F. and Kirsch, L.J. (2008). How endogenous motivations influence user intentions: beyond the dichotomy of extrinsic and intrinsic user motivations. Journal of Management Information Systems, 25 (1), 267-299.

[21]   Markus, M. L., & Robey, D. (1988). Information technology and organizational change: causal structure in theory and research. Management Science, 34(5), 583-598.

[22]   *Nahapiet, J. and Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23 (2), 242-266.

[23]   Oliver, R.L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17 (4), 460-469.

[24]   Orlikowski, W. J. (1993). CASE tools as organizational change: Investigating incremental and radical changes in systems development. MIS Quarterly, 27 (3), 309-340.

[25]   *Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.

[26]   *Pavlou, P.A. and Gefen, D. (2004). Building Effective Online marketplaces with institution-based trust. Information Systems Research, 15 (1), 37-59.

[27]   *Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y. and Podsakoff, N.P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88 (5), 879-903.

[28]   Srite, M. and Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30 (3), 679-704.

[29]   Sutton, R. I., & Staw, B. M. (1995). What theory is not. Administrative Science Quarterly, 40 (3), 371-384. (Lecture by Eldon)

[30]   *Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. (2003). User Acceptance of information technology: Toward a unified view. MIS Quarterly, (27:3), 425-478.

[31]   *Wang, W. and Benbasat, I. (2008). Attributions of trust in decision support technologies: A study of recommendation agents for e-commerce. Journal of Management Information Systems, 24 (4), 249-273.

[32]   *Wixom, B.H. and Todd, P.A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16 (1), 85-102.

[33]   Yen, H.J., Hu, P.J.H., Hsu, S.H.Y., and Li, E.Y. (2015). A Multilevel Approach to Examine Employees’ Loyal Use of ERP Systems in Organizations. Journal of Management Information Systems, 32 (4), 144-178. (Lecture by Eldon)

[34]   Yen, H.J.R., Li, E.Y. and Niehoff, B. (2008.9). Do organizational citizenship behaviors lead to information system success? Testing the mediation effects of integration climate and project management. Information & Management, 45 (6), 394-402. (Lecture by Eldon)

 

Supplementary article:

[1]       *Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic reviewBritish Journal of Management14(3), 207-222.

 

[2]       Galvagno, M. & Dalli, D. (2014). Theory of value co-creation: A systematic literature reviewManaging Service Quality: An International Journal, 24(6), 643-683. https://doi.org/10.1108/MSQ-09-2013-0187

[3]       Lim, S., Saldanha, T. J., Malladi, S., & Melville, N. P. (2013). Theories used in information systems research: Insights from complex network analysisJITTA: Journal of Information Technology Theory and Application14(2), 5-46.

[4]       Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019). A systematic review of the smart home literature: A user perspectiveTechnological Forecasting and Social Change138, 139-154.

 

WEBSITES:

[1]       http://eli.johogo.com/Class/CCU/ 

[2]       Theories Used in IS Research Wiki. Retrieved September 18, 2021, from http://IS.TheorizeIt.org

[3]       https://www.simplypsychology.org/

 

BOOKS:

[1]       Franklin, C.A., Klingenberg, B., & Agresti, A. (2018). Statistics: The Art and Science of Learning from Data. Harlow, Essex: Pearson. https://1lib.tw/book/3524805/fe160a?dsource=recommend   .

[2]       Hair Jr., J.F., Black, W.C., Babin, B.J., Anderson, R.E. (2019). Multivariate Data Analysis, 8th Ed. Boston, MA: Cengage Group. https://1lib.tw/book/5393975/e2f865  .

[3]       Hair Jr., J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A Primer On Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, ISBN: 9781483377445, Los Angeles, CA: Sage publications. https://1lib.tw/book/3675124/deb725  .

[4]       Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling. 4th edition, New York: Guilford Press. https://1lib.tw/book/2648263/8536fb?dsource=recommend .

[5]       Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd Ed. Thousand Oaks, CA: Sage Publications. https://1lib.tw/book/5498784/45b825 .

[6]       Schumacker, R. E., & Lomax, R. G. (2004). A Beginner’s Guide to Structural Equation Modeling. 2nd Ed. Mahwah, NJ: Lawrence Erlbaum Associates. https://1lib.tw/book/592202/8d5ea4 .

 

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