Human Cognitive Perspective of Extended Use of Information Systems

Today, organizations invest billions of dollars in large information systems (IS) to improve their business processes. The objective of implementing and adopting the IS is no other than to increase business efficiency, productivity and facilitate business decision making in the business, thus streng...

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Main Author:	See, Boon Piow
Format:	Thesis
Language:	eng
Published:	2012
Subjects:	T58.6-58.62 Management information systems
Online Access:	https://etd.uum.edu.my/3778/1/s92245.pdf
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id	my-uum-etd.3778
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng
advisor	Md Salleh, Salniza
topic	T58.6-58.62 Management information systems
spellingShingle	T58.6-58.62 Management information systems See, Boon Piow Human Cognitive Perspective of Extended Use of Information Systems
description	Today, organizations invest billions of dollars in large information systems (IS) to improve their business processes. The objective of implementing and adopting the IS is no other than to increase business efficiency, productivity and facilitate business decision making in the business, thus strengthening their business competiveness. However, the purported benefits of implementing the IS are often lagging behind the expectation and its fullest of the potentials in term of investment. Evidence shows low and underutilization of functionality at the post-acceptance stage contributes to the underachievement of the IS. To address this issue the objective of this research is to investigate the effects of individuals’ cognitive perception toward extended use of IS. A questionnaire survey-based approach was adopted in this study where the data was analyzed using covariance-based structural equation model (SEM) method. The findings showed post-usage usefulness, self-efficacy and facilitating condition were positively related to users’ continued use as well as extended use of IS. Beside that users’ continued use is significantly related with users’ extended use of the system. The result showed users’ continued use was partially mediating the relationship between users’ cognitions and extended use behavior. But, subjective norm did not exert any influence over users’ continued use and extended use of IS. Finally, this study contributed to the knowledge of individual post-acceptance of IS by integrating the theory of planned behavior (TPB) with post-adoptive usage behaviors. For practice, this study provides insight into human cognitive perceptions that contribute to IS post-adoptive usage behaviors, thereby allows the management to utilize these outcomes to promote higher levels of IS usage by the users or employees in the organizations.
format	Thesis
qualification_name	Ph.D.
qualification_level	Doctorate
author	See, Boon Piow
author_facet	See, Boon Piow
author_sort	See, Boon Piow
title	Human Cognitive Perspective of Extended Use of Information Systems
title_short	Human Cognitive Perspective of Extended Use of Information Systems
title_full	Human Cognitive Perspective of Extended Use of Information Systems
title_fullStr	Human Cognitive Perspective of Extended Use of Information Systems
title_full_unstemmed	Human Cognitive Perspective of Extended Use of Information Systems
title_sort	human cognitive perspective of extended use of information systems
granting_institution	Universiti Utara Malaysia
granting_department	Othman Yeop Abdullah Graduate School of Business
publishDate	2012
url	https://etd.uum.edu.my/3778/1/s92245.pdf
_version_	1747827643401633792
spelling	my-uum-etd.37782016-04-24T01:03:01Z Human Cognitive Perspective of Extended Use of Information Systems 2012-08 See, Boon Piow Md Salleh, Salniza Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business T58.6-58.62 Management information systems Today, organizations invest billions of dollars in large information systems (IS) to improve their business processes. The objective of implementing and adopting the IS is no other than to increase business efficiency, productivity and facilitate business decision making in the business, thus strengthening their business competiveness. However, the purported benefits of implementing the IS are often lagging behind the expectation and its fullest of the potentials in term of investment. Evidence shows low and underutilization of functionality at the post-acceptance stage contributes to the underachievement of the IS. To address this issue the objective of this research is to investigate the effects of individuals’ cognitive perception toward extended use of IS. A questionnaire survey-based approach was adopted in this study where the data was analyzed using covariance-based structural equation model (SEM) method. The findings showed post-usage usefulness, self-efficacy and facilitating condition were positively related to users’ continued use as well as extended use of IS. Beside that users’ continued use is significantly related with users’ extended use of the system. The result showed users’ continued use was partially mediating the relationship between users’ cognitions and extended use behavior. But, subjective norm did not exert any influence over users’ continued use and extended use of IS. Finally, this study contributed to the knowledge of individual post-acceptance of IS by integrating the theory of planned behavior (TPB) with post-adoptive usage behaviors. For practice, this study provides insight into human cognitive perceptions that contribute to IS post-adoptive usage behaviors, thereby allows the management to utilize these outcomes to promote higher levels of IS usage by the users or employees in the organizations. 2012-08 Thesis https://etd.uum.edu.my/3778/ https://etd.uum.edu.my/3778/1/s92245.pdf text eng validuser Ph.D. doctoral Universiti Utara Malaysia Adam, F., & O’Doherty (2003). ERP projects: Good or bad for SMEs? In G. Shanks, P. B. Seddon and L. P. Willcocks (Eds.). Second-wave enterprise resource planning systems: Implementing for effectiveness (pp. 275-298). UK: Cambridge University Press. Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies . Decision Sciences, 28(3), 557-582 Agarwal, R., Sambamurthy , V., & Stair, R. M. (2000). The evolving relationship between General and specific computer self-efficacy: An empirical assessment. Information Systems Research. 11(4), 418-430. Ahuja, M. K., & Thatcher, J. B. (2005). Moving beyond intentions and toward the Theory of Trying: effects of work environment and gender on post-adoption information technology use. MIS Quarterly, 29(3), 427-459. Ajzen, I. (1985). From intention to actions: A Theory of Planned Behavior. In J. Kuhl and J. Beckman (Eds.), Action Control: From cognition to Behavior, 11-39. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control and the Theory of Planned Behavior. Journal of Applied Social Psychology, 32(4), 885-683. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hill. Anderson, J.C., & Gerbing, D.W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. Ang, H. T. (2010). Partners Day Penang. RosettaNet Malaysia. Ashcraft, M.H. (1998). Fundamentals of Cognition. Addison Wesley Longman, New York. Armitage, C.J., & Conner, M. (2001). Efficacy of the Theory of Planned Behavior: A meta-analytic review. British Journal of Social Psychology, 40, 471-499. Bagozzi,R. P. (1992). The self-regulation of attitude, intentions, and behavior. Social Psychology Quarterly, 55(2), 178-204. Bearden, W. O., & Teel, J. E. (1983). Selected determinants of consumer satisfaction and complaint report. Journal of Marketing Research, 20(1), 21-28. Bender, J., Batenburg, R., & Van der Blonk, H. (2006). Sticking to standard technical and other isomorphic pressures in deploying ERP System. Information and Management, 43(2), 194-203. Bevan, N. (1995). Measuring usability as quality of use. Software Quality Journal, 4(2), 115-150. Bhattacherjee, A. (2001). Understanding information systems continuance:An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. Bhattacherjee, A., & Harris, M. (2009). Individual adaptation of information technology. The Journal of Computer Information Systems, 50(1), 37-45. Bhattacherjee, A., & 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. Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49, 17-26. Binnick, R. I. (1991). Time and the verb: A guide to tense and aspect. New York, Oxford University Press. Bostrom, R. P., & Heinan, J. S. (1977). MIS problems and failures: A socio-technical perspective. Part 1: The causes. MIS Quarterly, 1(3), 17-32. Boudreau, M.C. (2002). Learning to use ERP technology: A causal model. Proceedings of 36th Hawaii International Conference on System Sciences. IEEE. Computer Society. Boudreau, M.C., & Robey,D. (2005). Enacting integrated information technology: A human agency perspective. Organization Science, 16, 3-18. Boudreau, M.C., & Seligman, L. (2005). Quality of use of complex technology: A learning-base model. Journal of Organizational and User Computing, 17, 4. Bradford, M., & Florin, J. (2003). Examining the role of innovation diffusion factors on the implementation success of Enterprise Resource Planning Systems. International Journal of Accounting Information Systems, 4(3), 205-225. Brown, S. A., Massey, A. P., Montoya-Weiss, M. M., & Burkman, J. R. (2002). Do I really have to? User acceptance of mandated technology. European Journal of Information Systems, 11, 283-295. Burton-Jones, A., & Hubona, G.S. (2006). The mediation of external variables in the technology acceptance model. Information and Management, 43, 706-717. Burton-Jones, A., & Straub, D.W. (2006). Reconceptualizing system usage: An approach and empirical Test. Information System Research, 17(3), 228-246. Byrne, B.M. (2001). Structural equation modeling with AMOS: Basic concepts, application and programming, (1st ed), Lawrence Erlbum Associates, Mahwah: New Jersey. Campbell, D.T., & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait: Multimethod matrix. Psychological Bulletin, 56, 81-105. Carlson, J.R., & Zmud, R.W. (1999). Channel Expansion Theory and the experiential nature of media richness perceptions. Academy of Management Journal, 42(2), 153-170. Chang, M.K. (1998). Predicting unethical behavior: A comparison of the Theory of Reasoned Action on the Theory of Planned Behavior. Journal of Business Ethics, 17(16), 1828-1834. Chang, H.H., & Chou, H.W. (2011). Drivers and effects of enterprise resource planning post-implementation learning. Behavior & Information Technology, 30(2), 251-259. Chen, M. (2003). Factors affecting the adoption and diffusion of XML and web services standards for e-business systems. International Journal of Human-Computer Studies, 58, 259-279. Chin, W.W., & Marcolin, B.L. (2001). The future of diffusion research. Data Base for Advances in Information System, 32(3), 8-12. Chiu, C.M., Hsu, M.H., Sun, S.Y., Lin, T.C., & Sun, P.C. (2005).Usability, quality, value and e-learning continuance decisions. Computers & Education, 45, 399-416. Churchill Jr . G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19(4), 491-504. Cho, V., Cheng, T.C.E., & Hung, H. (2009). Continued usage of technology versus situational factors: An empirical analysis. Journal of Engineering and Technology Management, 26, 264-284. Cho, H.J., & Pucik, V. (2005). Relationship between innovativeness, quality, growth, profitability, and market value. Strategic Management Journal, 26, 555-575. Choi, H.,Kim, Y., & Kim, J. (2011). Driving factors of post adoption behavior in mobile data services, Journal of Business Research, 64, 1212-1217. Collier, J.E., & Carol, C.B. (2007). An analysis of how non-response error is assessed in academic marketing research. Marketing Theory, 7(2), 163-183. Conner, M., & Armitage, C.J. (1998). Extending the Theory of Planned Behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28, 1429-1464. Compeau, D. R., & Higgins, C. A. (1991). A Social Cognitive Theory perspective on individual reactions to computer technology. Proceedings of the 12th International Conference on Information Systems, New York. Compeau, D.R., & Higgins, C.A.(1995). Self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. Compeau, D., Higgins, C. A., & Huff, S. (1999). Social Cognitive Theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158. Cook, T.D., & Campbell, D.T. (1979). Quasi-experimentation: Design and analysis issues for field settings. Boston, M.A: Houghton Mifflin. Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science, 36(2), 123-139. Crum, M. R., Premkumar, G., & Ramamurthy, K. (1996). An assessment of motor carrier adoption, use, and satisfaction with EDI. Transportation Journal. 35(4), 44-57. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340. Davis, F.D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475-487. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111-1131. DeLone, W. H., & McLean, E. R. (1992). Information system success. The quest for the dependent variable. Information Systems Research, 3(1), 60-95. DeLone, W.H., & McLeon, E.R. (2003). The DeLone and McLean Model of information system success: A ten-year update. Journal of Management Information System, 19(4), 9-30. Devaraj, S., & Kohli, R. (2003). Performance impacts of information technology: Is actual usage the missing link? Management Science, 49(3), 273-289. Doll, W.J., & Torkzadeh, G. (1988). Developing a multidimensional measure of system-use in an organizational context. Information & Management, 33, 171-185. Fadel, K.J. (2007). Infusion of information systems: The role of adoption and individual cognitions. Doctoral Dissertation. The University of Arizona. Fichman, R. G. (1992). Information technology diffusion: A review of empirical research. 13th International Conference on Information Systems. Dallas. TX. 195-206. Fichman, R. G., & Kemerer, C. F. (1997). The assimilation of software process innovation: An organizational learning perspective. Management Science, 43(10), 1345-1363. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading , Addison-Wesley, MA. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. Gallivan, M.J. (2001). Organizational adoption and assimilation of complex technology innovations: Development and application of a new framework. The DATA BASE for Advances in Information Systems, 32(3), 51-85. Gallivan, M.J., Spitler, V.K., & Koufaris, M. (2005).Does information technology training really matter? A social information processing analysis of coworkers’ influence on IT usage in the workplace. Journal of Management Information Systems, 22(1), 153-192. Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 136-213. Goodhue, D. L., Klein, B. D., & March, S. T. (2000). User evaluation of IS as surrogates for objective performance. Information and Management, 38(2), 87-101. Guenther, R.K. (1997). Human Cognition. Prentice Hall, College Div, 1st Edition. Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis: A global perspective. Upper Saddle River, NJ, Prentice Hall. Hale, J. L., Householder, B. J., & Greene, K. L. (2003). The Theory of Reasoned Action. In J. P. Dillard and M. Pfau (Eds.). The persuasion handbook: Development in theory and practice (pp. 259-286). Thousand Oak. CA: Sage. Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465. Heft, H. (2001). Ecological psychology in context: James Gibson, Roger Barker and the Legacy of William Jame’s Radical Empiricism. Mahwah, NJ: Lawrence Erlbaum Associates. Holmbeck, G.N. (1997). Toward terminological, concept, and statistical clarity in the study of mediators and moderators: Examples from the child-clinical and pediatric psychology literatures. Journal of Consulting and Clinical Psychology, 65(4), 599-610. Hong, S.J., Thong, J.Y.L., & Tam, K.Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42, 1819-1834. Hoyle, R.H., & Smith, G.T. (1994). Formulating clinical research hypotheses as structural equation models: A conceptual overview. Journal of Consulting and Clinical Psychology, 62, 429-440. Hsieh, J.J.P.A., & Wang, W. (2007) . Explaining employees’ extended use of complex information systems. European Journal of Information Systems, 16,216-227 Hsieh, JJ.P.A., & Zmud, R.W. (2006). Understanding post- adoptive usage behaviors: A two-dimensional view. Diffusion Interest Group In Information Technology. DIGIT 2006 Proceedings. Association for Information Systems. Hu, P.J.H. , Clark, T.H.K., & Ma, W.W. (2003). Examining technology acceptance by school teachers: A longitudinal study, Information and Management, 41, 227-241. Huff, S.L., & Munro, M.C. (1985). Information technology assessment and adoption: A field study, MIS Quarterly, 9(4), 327-340. Ifinedo, P., Rapp, B., Ifinedo, A., & Sundburg, K. ( 2010). Relationships among ERP post-implementation success constructs: An analysis at the organizational level. Computers in Human Behavior, 26, 1136-1148. Igbaria, M. (1990). End-user computing effectiveness: A structural equation model. OMEGA, 18(6), 637-652. Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-305. Igbaria, M., & Livari, J. (1995). The effects of self- efficacy on computer usage. OMEGA, 23, 587-605. Jacobson, S., Shepherd, J., D’Aquila, M., & Carter, K. (2007). The ERP market sizing report, 2006-2011. AMR Research. Jain, V. , & Kanungo, S. (2006). IS-enable performance improvement at the individual level: Evidence of complementarily. SIGMIS-CPR’06, 25-32. Jasperson, J. S, Carter, P. R., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525-557. Jeyaraj, A., Rottman, J. W., & Lacity, M. C.(2006). A review of the predictors, linkages and biases in IT innovation adoption research. Journal of Information Technology, 21, 1-23. Jones, E., Sundaram, S., & Chin, W. (2002). Factors leading to sales force automation use: A longitudinal analysis. Journal of Personal Selling & Sales Management, 22(3), 145-156. Karahanna, E., Straub, D. W., & 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. Kay, J., & Thomas, R.C. (1995). Studying long-term system use. Communication of the ACM, 38(7), 61-69. Kendall, J. D., Tung, L. L., Chua, K. H., Hong, C., Ng, D., & Tan, S. M. (2001). Receptivity of Singapore’s SME to Electronic Commerce Adoption. Journal of Strategic Information Systems, 223-242. Kim, Y.J., Garrity, E.J., & Sanders, G.L. (2003). Success measures of information systems. Encyclopedia of Information System, Elsevier Science (USA), 4, 299. Kim, S., & Garrison, G. (2010). Understanding user’s behaviors regarding supply chain technology: Determinants impacting the adoption and implementation of RFID technology in South Korea. International Journal of Information Management, 30, 388-398. Kim, S.S., Malhotra, N.K., & Narasimhan, S. (2005). Two competing perspectives on automatic use: A theoretical and empirical comparison. Information System Research, 16(4), 418-432. Kimmo, V., Simo, P., & Lauri, T. (2006). Estimation of reliability: A better alternative for Cronbach’s alpha. Report on Mathematic 430, Dept. of Mathematic and Statistic, University of Helsinki. Klein, R. (2012). Assimilation of internet-based purchasing applications with medical practices. Information & Management, Doi: 10.1016/j.im.2012. 02.001. Kline, R.B. (2005). Principles and practices of structural equation modeling, (2nd Ed), New York: Guilford. Kok, G., De Vries, A., Muddle, N., & Strecher, V. J. (1991). Planned health education and the role of self- efficacy: Dutch research. Heath Education Research, 6, 231- 238. Kouki, R., Poulin, D., & Pellerin, R. (2007). ERP assimilation levers: The case of a manufacturing food company. 19th International Conference on Production Research. Valparaiso, Chile. Krejcie, R., & Morgan, D. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610. Kwon, T. H., & Zmud, R. W. (1987). Unifying the fragmented models of information systems implementation. In R. J. Boland Jr. and R. A. Hirschem (Eds.). Critical issues in information systems research. New York: Wiley. Lassila, K. S., & Brancheau, .C. (1999). Adoption and utilization of commercial software packages: Exploring utilization equilibria, transitions, triggers, and tracks. Journal of Management Information Systems, 16(2), 63-90. LaTour, S. A., & Peat, N. C. (1980).The role of situationally-produced expectations, others’ experiences and prior experience in determining consumer satisfaction. In J.C. Olson (Ed.). Advances in Consumer Research (pp. 588-592). Ann Arbor. MI: Association for Consumer Research. Leonard, B. D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management Science, 34(14) , 1252-1265. Leonard-Barton, D. (1998). Implementation characteristics of organizational innovations: Limits and opportunities for management strategies. Communication Research, 15(5), 603-631. Lewin, K. (1952). Group decision and social change, in Newcomb, T.M and Hartley, E.L. (Eds). Readings in social psychology. New York: Henry Holt and Company. Li, P., & Mula, J. M. (2009). Extent of adoption of EDI by Singaporean SMEs: A survey of practices. Journal of Information Technology Management, 3, 1-13. Liao, C., Chen, J.L., & Yen, D,C. (2007). Theory of Planning Behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior , 23, 2804-2822. Liker, J., & Sindi, A.A. (1997). User acceptance of expert systems: A test of the Theory of Reasoned Action. Journal of Engineering and Technology Management, 14, 147-173. Lindner, J. (2002). Handling of nonresponse error. Journal of International Agricultural and Extension Education, 9(3), 55-60. Lucas, H. C. (1990). Introduction to computers and information systems. New York: Macmillan Publishing Company. Lucas, H. C., Ginzberg, M. J., & Schultz, R. L. (1990). Information systems implementation: Testing a structural model. Norwood, NJ: Ablex Press. Lucas, H.C., & Spitler, V.K. (1999). Technology use and performance: A field study of broker workstations. Decision Sciences, 30(2), 291-311. Majchrzak, A., Rice, R.E., Malholtra, A., King. N., & Ba, S. Technology adaptation: The case of a computer-supported inter-organizational virtual team. MIS Quarterly, 24(4), 569. Markus, M.L. (1994). Electronic mail as the medium of managerial choice. Organization Science, 5(4), 502-527. Mathieson, K. (1991). Predicting user intentions: Comparing technology acceptance model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173-191. Mendoza, A., Carroll, J., & Stern, L. (2010). Software application over time: From adoption to stabilization and beyond. Australasian Journal of Information Systems, 16(2), 5-23. Morrison, P. D., Roberts, J. H., & Von Hippel, E. (2000). Determinants of user innovation and innovation sharing in a Local Market. Management Science, 46(12), 1513-1527. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perception of adopting and information technology innovation. Information Systems Research, 2(3), 192-223. Moores, T.T., & Chang, J.C.J. (2009). Self-efficacy, overconfidence and negative effort on subsequent performance: A field study. Information & Management, 46, 69-76. Mykytyn, P. P J., & Harrison, D. A. (1993). The application of the Theory of Reasoned Action to senior management and strategic information systems. Information Resources Management Journal, 6(2), 15-26. Nah, F., Tan, X., & Teh, S. H. (2004). An empirical investigation on end-users’ acceptance of enterprise systems. Information Resources Management Journal, 17(3), 32-53. Nambisan, S., Agarwal, R., & Tanniru, M. (1999). Organizing mechanisms for enhancing user innovation in information technology. MIS Quarterly, 23(3), 365-395. Norman, P., & Smith, L. (1995). The Theory of Planned Behavior and exercise: An investigation into the role of prior behavior, behavioral intentions and attitude variability. European Journal of Social Psychology, 25, 403- 415. Nunnally, J.C., & Bernstein, I.H. (1994). (3rd Ed), McGraw-Hill, New York. Oliver, R. L., & Linda, G. (1981). Effects of satisfaction and its antecedents on consumer preference and intention. In K.B. Monroe (Ed.). Advances in consumer research (pp. 88-93). MI: Ann Arbor. Orlikowski, W. J. (1993). CASE tools as organizational change: Investigating incremental and radical changes in systems development. MIS Quarterly, 17(3), 309-340. Orlikowski, W.J. (2000). Using technology and constituting structures: A practice lens for studying technology in organization. Organization Science, 11(4), 404-428. Orlikowski, W.J., & Robey, D. (1991). Information technology and the structuring of organizations. Information Systems Research, 2(2), 143-169. Parthasarathy, M., & Bhattacherjee, A. (1998). Understanding post-adoption behavior in the context of online services. Information Systems Research, 9(4), 362- 379. Podsakoff, P., MacKenzie, S., Lee, J., & Podsakoff, N. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance. New York, Free Press. Pratt, R. M. E. (2009). Understanding post-adoption diffusion behaviors: The role of the technology-related psychological contract breach and tripartite attitude. Doctorate Dissertation. Florida State University. Prescott, M. B., & Conger, S. A. (1995). Information technology innovation: A classification by IT locus of impact and research approach. DATA BASE for Advances in Information Systems, 26(2/3), 20-41. Ram, S., & Jung, H. S. (1991). Force adoption of innovation in organizations: consequences and implications. Journal of Product Innovation Management, 8(2), 117-126. Rawstorne, P., Rohan, J., & Peter, C. (2000). Issues in predicting and explaining usage behaviors with the Technology Acceptance Model and the Theory of Planned Behavior when usage in mandatory. In Proceedings of the Twenty First International Conference on Information Systems. Robey, D. (1987). Implementation and the organizational impacts of information systems. Interfaces, 72-84. Robey,D., Ross, J. W., & Boudreau, M. (2002). Learning to implement enterprise systems: An exploratory duty of the dialectics of change. Journal of Management Information Systems. 19(1), 17-46. Roger, E. M. (1962). Diffusion of Innovations (1st ed.) New York, The Free Press. Roger, E. M. (1983). Diffusion of Innovations (3rd ed.) New York, The Free Press. Roger, E. M. (1995). Diffusion of Innovations (4th ed.) New York, The Free Press. Roger, E. M. (2003). Diffusion of Innovations. (5th ed.) New York, The Free Press. Saga, V., & Zmud, R. W. (1994). The nature and determinants of IT acceptance, routinization and infusion. Proceedings of the International Federation of Information Processing Work Group.8, 6, 67-86. Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on past adoption usage of information systems. Information and Managemen, 45, 376-386. Schwarz, A. (2003). Defining information technology acceptance: A human-centered, management-oriented perspective. PhD Thesis. University of Houston-University Park. Schwarz, A., & Chin, W. W. (2007). Looking forward: Toward and understanding of the nature and definition of IT acceptance. Journal of the Association for Information Systems, 4(6), 230-243. Seddon, P. B., Shanks, G., & Willcocks, L. P. (2003). Introduction: ERP-The quiet revolution? In G. Shanks, P. B. Seddon and L. P. Willcocks (Eds.). Second-wave enterprise resource planning systems: Implementing for effectiveness (pp. 1-16). UK: Cambridge University Press. Sekaran, U. (2003). Research methods for business: A skill building approach. (4th ed.) New York: John Wiley & Sons. Senapathi, M., & Srinivasan, A. (2012). Understanding post-adoptive agile usage: An exploratory cross-case analysis. The Journal of Systems and Software, 85, 1255-1268. Shaw, T., & Jarvenpaa, S. L. (1997). Process models in information system. IFIP WG8.2 Working Conference on Information Systems and Qualitative Research. May 31- June 3. Philadelphia. Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The Theory of Reasoned Action: A meta-Analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343. Silver, M. S. (1990). Decision support systems: Directed and non-directed change. Information Systems Research, 1(1), 47-70. Silver, M. S. (1991). Decisional guidance for computer-based decision support. MIS Quarterly, 15(1), 105-122. Son, M., & Han, K. (2011). Beyond the technology adoption: Technology readiness effects on post-adoption behavior. Journal of Business Research, 64, 1178-1182. Sorebo, O., & Eikebrokk, T.R. (2008). Explaining IS continuance in environments where usage is mandatory. Computers in Human Behavior, 24, 2357-2371. Straub, D.W. (1989). Validating instruments in MIS research. MIS Quarterly, 13(2), 147-169. Straub, D., Limayem., & Karahanna, E.E. (1995). Measuring system usage: Implications for IS theory testing. Management Science, 41(8), 1328-1342. Sulaiman, S., & Jaafar, N. I. (2001). Adoption of information communication technology in MSC status companies. Proceedings of the Asia Pacific Management Conference, 37-48. Sundaram, S., Schwarz, A., Jones, E., & Chin, W.W. (2007). Technology use on the front line: How information technology enhances individual performance. Journal of the Academy Marketing Science, 35, 101-112. Supramaniam, M., & Kuppusamy, M. (2009). Investigating the critical factors in implementing enterprise resource planning system in Malaysia business firms. World Academy of Science, Engineering and Technology , 57, 332-341. Szajna, B., & Scamell, R.W. (1993). The effects of information system user expectations on their performance and perceptions. MIS Quarterly, 17(4), 493-516. Tabachnick, B.G., & Fiddel, L.S. (2007). Using multivariate statistics (5th ed.) Boston: Pearson Education. Taylor, S., & Todd, P (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570. Thompson, R.L., & Higgins, C.A., & Howell, J.M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143. Tiwana, A., & Bush, A. A.(2005). Continuance in expertise-sharing networks: A social Perspective. IEEE Transaction on Engineering Management, 52(1), 85-101. Torkzadeh, G., Chang, J.C.J., & Demirhan, D. (2006). A contingency model of computer and internet self- efficacy. Information and Management, 43(4), 541-550. Tornatzky, L. G., & Fleischer, M. (1990). The processes of technology innovation. Lexington, MA: Lexington Books. Triandis, H. C. (1977). Interpersonal behavior. Monterey. CA: Brook/Cole. Triandis, H.C. (1980). Values, attitudes, and interpersonal behavior. In H.E. Howe (Ed.), Nebraska Symposium on Motivation, 1979: Beliefs, Attitudes and Values. Lincoln: University of Nebraska Press, 195-259. Trist, E., & Bamforth, K. (1951). Some social and psychological consequences of the longwall method of coal getting. Human Relations, 4, 3-38. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342- 365. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. Vikas,J., & Kanungo, S. (2005). Beyond perceptions and usage: Impact of nature of information systems use on information system- enabled productivity. International Journal of Human-Computer Interaction, 19(1), 113-136. Ward,K.W., Brown,S.A., & Massey,A.P. (2005).Organizational influences on attitudes in mandatory system use environments : A longitudinal study. International Journal of Business Information Systems, 1(1/2), 9-30. Wei, W. (2006). Emergent use of enterprise systems by employees: Exploring the human side. Doctoral Dissertation. The Hong Kong Polytechnic University. Wei, K. S, Loong, A. C. Y, Leong, Y. M., & Ooi, K.B. (2009). Measuring ERP system success: A rectification of the DeLone and McLean’s IS success model. Symposium on Progress in Information & Communication Technology,7-12. Weisberg, H. F., Krosnick, J. A., & Bowen, B. D. (1989). An introduction to survey research and data analysis. (2nd ed.). Glenview, IL: Scott, Foresman and Company. Wheatly, M. (2001). ERP training stinks. CIO Magazine. Wood, R. E., & Bandura, A. (1989). Impact of conceptions of ability on self-regulatory mechanisms and complex decision making. Journal of Personal Social Psychology, 56, 407-415. Wu, M.C., & Kuo, F.Y. (2008). An empirical investigation of habitual usage and past usage on technology acceptance evaluations and continuance intention. The DATA BASE for Advances in Information Systems, 39(4), 48-73. Wynekoop, J. P. (1991). An innovation study of the implementation of computer-aided software engineering tools. Unpublished Ph.D Dissertation. College of Business. Georgia State University . Atlanta: GA. Xu, J., & Quaddus, M. (2005). Exploring the perceptions of knowledge management systems. Journal of Management Development, 24(4), 320-361. Yousafzai, S.Y., Foxall, G.R., & Pallistter, J.G. (2010). Explaining internet banking behavior: Theory of Reasoned Action, Theory of Planned Behavior or Technology Acceptance Model? Journal of Applied Social Psychology, 40(5), 1172-1202. Zaltman, G., Duncan, R., & Holbek, J. (1973). Innovations and organizations. New York: John Willey. Zhang, N., Guo, X., and Chen, G. (2008). IDT-TAM integrated model for IT adoption. Tsinghua Science and Technology, 13(3), 306-311. Zhu, Y., Li, Y., Wang, W., & Chen, J. (2010). What leads to post-implementation success of ERP? An empirical study of the Chinese retail industry. International Journal of Information Management, 30, 265-276. Zmud, R.W., & Apple, L.E. (1992). Measuring technology incorporation/infusion. Journal of Product innovation Management, 9, 148-155 Zmud, R. W., & Boynton, A.C. (1991). Survey measures and instruments in MIS: inventory and appraisal. In K. L. Kraemer (Ed.). The information systems research challenge: Survey research methods (pp. 149-180). Boston, MA: Harvard Business School. Zuboff, S. (1988). In the age of the smart machine. New York: Basic Book

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