資訊系統成功模式是識別資訊系統績效相關推動因素的重要基礎。然而就資訊系統成功因素而 言，過去在社會因素上的相關研究並不多。政府機關在推動具備數位簽章技術的電子文書檔案系統 時，經常將相關之利害關係人形成一個網絡。本研究整合社會鑲嵌觀點與資訊系統成功相關文獻為 基礎，探索社會因素與資訊系統因素對資訊系統績效的影響。本研究藉由我國政府機關的實務調查， 透過知覺有用性與使用者滿意兩個中介變數，希望能發現社會因素與資訊系統因素對資訊系統績效 之間的因果關係。本研究採用階層線性模式(hierarchical linear modeling, HLM)方法，瞭解上級組織層級 (上級機 關、檔案管理局、軟體廠商) 等因素對資訊統績效的影響。整體而言，本研究之成果將對在政府機關 資訊系統之管理理論與實務上，帶來貢獻。

Information systems (IS) success model has served as a key basis for identifying drivers of IS performance. Consequently, the role of social factors in driving IS success has been overlooked in this literature. Governance agencies embrace all relevant stakeholders in the network for the implementation of electronic document and records management system (EDRMS) with digital signature technology. In this study, we address this gap by integrating the social embeddedness perspective and IS success literature to theorize how social and IS factors affect the IS performance. Using investigation from a field survey of government agencies in Taiwan, we find evidence of a relationship between hypothesized social and IS factors through two measures of intermediate factors namely, perceived usefulness and user satisfaction – to the IS performance. Specifically, through regression method, we find that a causal relationship from social and IS factors to IS performance at the organizational level. Besides, this study uses hierarchical linear modeling (HLM) method to analyze the effect from the factors in upper organization level, i.e. upper-level agency, National Archives Administration (NAA) and software vendors to EDRMS performance. Collectively, the findings have theoretical and practical implications for relationships that should be managed in developing IS in government agencies.

Abstract ......................................................................................ii
Table of Contents..............................................................................iv
List of Figures................................................................................vi
1 Introduction ................................................................................1
2 Literature Review ...........................................................................3
2.1 Electronic Documents and Records Management Systems with Digital Signature Technology .....4
2.2 Social Factors affecting the IS performance................................................6
2.3 IS Success Factors affecting the IS performance............................................8
2.4 Upper-level Organizations of Government Agencies regarding EDRMS ..........................11
3 Methodology .................................................................................15
3.1 Research Subjects..........................................................................15
3.2 Data Analysis Method ......................................................................16
3.2.1 Descriptive Statistical Analysis ........................................................16
3.2.2 ReliabilityAnalysis......................................................................16
3.2.3 FactorAnalysis...........................................................................17
3.2.4 Hierarchical Linear Modelling (HLM)......................................................17
4 Research Result .............................................................................19
4.1 Validity Analysis..........................................................................19
4.1.1 CorrelationAnalysis......................................................................19
4.1.2 Confirmatory Factor Analysis ............................................................19
4.2 Hypotheses Validation .....................................................................21
4.2.1 Null Model...............................................................................21
4.2.2 Top-Management Leadership affects Perceived Usefulness and User Satisfaction ............21
4.2.3 Shared Norm affects Perceived Usefulness and User Satisfaction...........................21
4.2.4 Collective Efficacy affects Perceived Usefulness and User Satisfaction ..................21
4.2.5 System Quality affects Perceived Usefulness and User Satisfaction .......................21
4.2.6 Information Quality affects Perceived Usefulness and User Satisfaction ..................22
4.2.7 Service Quality affects Perceived Usefulness and User Satisfaction ......................22
4.2.8 Perceived Usefulness affects User Satisfaction...........................................22
4.2.9 Perceived Usefulness affects IS Performance .............................................22
4.2.10User Satisfaction affects IS Performance ................................................22
4.2.11Upper-Level Support affects IS performance...............................................23
5 Conclusion and Suggestion ...................................................................25
5.1 Research Conclusion .......................................................................25
5.2 Practical Implication......................................................................26
5.3 Limitation ................................................................................27
References ....................................................................................29
Appendix ......................................................................................35

Akgun, A.E., Keskin, H., Byrne, J., Imamoglu, S.Z., (2007) “Antecedents and consequences of team potency in software development projects,” Information & Management, 44(7): 646–656.
Balaban, I., Mu, E. and Divjak, B. (2013) “Development of an Electronic Portfolio System Success Model: An Information Systems Approach,” Computers & Education, 60(1): 396-411.
Bechor, T., Neumann, S., Zviran, M. and Glezer, C. (2010) “A contingency model for estimating success of strategic information systems planning,” Information & Management, 47(1):17-29.
Bhattacherjee, A. (2001). “Understanding information systems continuance: An expectation— Confirmation model,” MIS Quarterly, 25(3): 351–370.
Bliese, P. D., and Hanges, P. J. (2004) “Being Both Too Liberal and Too Conservative: The Perils of Treating Grouped Data as Though They Were Independent,” Organizational Research Methods, 7(4):400-417.
Bock, G.W., Zmud, R.W., Kim, Y.G., and Lee, J.N., (2005) “Behavioral Intention Formation in Knowledge Sharing Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate,” MIS Quarterly, 29(1) : 87-111.
Boone, C., Van Olffen, W., Van Witteloostuijn, A. and De Brabander, B. (2004). “The Genesis of top management team diversity: Selective turnover among top management teams in Dutch newspaper publishing, 1970-94,” Academy of Management Journal, 47(5): 633-656.
Boss, S.R., Kirsch, L.J.,Angermeier, I., Shingler, R.A. and Boss, R.W. (2009). “If someone is watching, I’ll do what I’m asked: Mandatoriness, control, and information security,” European Journal of Information Systems, 18(2): 151-164.
Brown, S. A. and Venkatesh, V., (2005) “Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle,” MIS Quarterly, 29(3): 399-426.
Brown, S. A., A. P. Massey, M. M. Montoya-Weiss, and J. R. Burkman (2002) “Do I really have to? User acceptance of mandated technology,” European Journal of Information Systems, 11(4):283-295.
Bryk, A. S., and Raudenbush, S. W. (1992) Hierarchical Linear Models: Applications and Data Analysis Methods, Thousand Oaks, CA: Sage Publications.
Cecez-Kecmanovic, D., Kautz, K. and Abrahall, R. (2014) “Reframing Success and Failure of Information Systems: A Performative Perspective,” MIS Quarterly, 38(2): 561-588.
Chatterjee, D., Grewai, R., and Sambamurthy, V. (2002) “Shaping up for e-commerce: institutional enablers of the organizational assimilation of Web technologies,” MIS Quarterly, 26(2) , 65–89.
Chan, F. K.Y., Thong, J. Y.L., Venkatesh, V., Brown, S. A., Hu, P. J. H. and Tam, K. Y., (2010) “Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology,” Journal of the Association for Information Systems, 11(10): 519-549.
Chen, Y. N., Chen, H. M., Huang, W., and Ching, R. K. H., (2006), “E-Government Strategies in Developed and Developing Countries: An Implementation Framework and Case Study,”Journal of Global Information Management, 14(1):23-46.
Chen T. L. and Lin, F.Y., (2011) Electronic medical archives: a different approach to applying re-signing mechanisms to digital signatures. Journal of Medical Systems, 35 (4): 735-42.
Cheng, H. and Yang, H. (2014) “The antecedents of collective creative efficacy for information system development teams,” Journal of Engineering & Technology Management, 33: 1-17.
Condie, R. and Livingston, K. (2007) “Blending online learning with traditional approaches: Changing practices,” British Journal of Educational Technology, 38(2): 337-348.
Das, T. K., and Teng. B. S. (1998). Between trust and control: Developing confidence in partners cooperation in alliances. Academy of Management Review, 23: 601-620.
Das T. K., and Rahman N. (2001). Panner misbehavior in strategic alliances: Guidelines for effective deterrence. Journal of General Management, 27(1): 43-69.
David A. Hofmann (1997). An Overview of the Logic and Rationale of Hierarchical Linear Models. Journal of Management, 23(6): 723-744.
Davis, F. D. (1989) “Perceived usefulness, perceived ease-of-use, and user acceptance of information technology,” MIS Quarterly, 13: 319-340.
DeLone, William H.; McLean, Ephraim R. (2003) “The DeLone and McLean Model of Information Systems Success: A Ten-Year Update,” Journal of Management Information Systems, (19:4): 9-30.
Denolf, J. M., Trienekens, J. H., Wognum, P.M., Van der Vorst, Jack G.A.J. and Omta, S.W.F. (2015) "Towards a framework of critical success factors for implementing supply chain information systems,” Computers in Industry, 68:16-26.
Dwivedi, Y., Wastell, D., Laumer, S., Henriksen, H., Myers, M., Bunker, D., Elbanna, A., Ravishankar, M. and Srivastava, S. (2015) “Research on information systems failures and successes: Status update and future directions,” Information Systems Frontiers, 17(1):143-157.
Floropoulos, J., Spathis, C., Halvatzis, D. and Tsipouridou, M. (2010) “Measuring the success of the Greek Taxation Information System,” International Journal of Information Management, 30(1):47-56.
French, J. R. P. and Raven, B. (2001) “The bases of social power,” in I. G. Asherman and S. A. Asherman (Eds.) The Negotiation Sourcebook, Amherst, MA: Human Resource Development Press, pp. 61-74.
Gilbert, D., Balestrini, P. and Littleboy, D., (2004) “Barriers and benefits in the adoption of egovernment,” International Journal of Public Sector Management, 17(4) : 286-301.
Gorla, N. and Somers, T. M. (2014) “The impact of IT outsourcing on information systems success,” Information & Management, 51(3):320-335.
Gulati, R., and Sytch, M. (2008). Does familiarity breed trust? Revisiting the antecedents of trust. Managerial and Decision Economics, 29: 165-190.
Hayes, D. N. A. (2007) “ICT and learning: Lessons from Australian classrooms,” Computers and Education, 49(2):385-395.
Heeks, R.(2000), Reinventing government in the information age, London: Routledge Press. Heeks, R. and Bailura, S. (2007), “Analyzing e-government research: perspectives, philosophies, theories, methods, and practice,” Government Information Quarterly, 24(2): 243-265.
Hofmann, D. A. (1997) “An Overview of the Logic and Rationale of Hierarchical Linear Models,” Journal of Management 23(6):723-744.
Hsieh, J. J. P. A., Rai, A. and Keil, M., (2008) “Understanding digital inequality: Comparing continued use behavioral models of the socio-economically advantaged and disadvantaged,” MIS Quarterly, 32(1) : 97-126.
Irvine, R. and Hall, H. (2015) “Factors, frameworks and theory: a review of the information systems literature on success factors in project management,” Information Research,” 20(3):127.
Kahneman, D., and Tversky, A. (1982) “The Simulation Heuristic,” in Judgment Under Uncertainty: Heuristics and Biases, D. Kahneman, P. Slovic, and A. Tversky (eds.), New York: Cambridge University Press, pp. 201-208.
Klein, K. J., and Kozlowski, S. W. J.( 2000) “From Micro to Meso: Critical Steps in Conceptualizing and Conducting Multi-Level Research,” Organizational Research Methods, 3:211-236.
Kohli, R. and Grover, V. , (2008), “Business Value of IT: An Essay on Expanding Research Directions to Keep Up with the Times,” Journal of the AIS 9(1), pp. 23-37.
Kwon, T., and Zmud, R. , (1987), Unifying the Fragmented Models of Information Systems Implementation, Critical Issues in Information Systems Research. New York
John Wiley & Sons. Layne, K. and Lee, J. (2001). “Developing fully functional E-government: A four-stage model,” Government Information Quarterly, 18(2), 122–136
Lin, H.F. (2007) “Measuring online learning systems success: applying the updated DeLone and McLean model,” CyberPsychology & Behaviour, 10(6): 817–820.
Lin, F., Fofanah, S. S. and Liang, D. (2011) “Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success,” Government Information Quarterly, 28(2):271-279.
Maes, A. and Poels, G. (2007) “Evaluating quality of conceptual modelling scripts based on user perceptions,” Data and Knowledge Engineering, 63: 769-792.
Masoner, M. M., Lang, S. S. and Melcher, A. J. (2011) “A meta-analysis of information system success: A reconsideration of its dimensionality,” International Journal of Accounting Information Systems, 12(2):136-141.
Meijer, A. (2001). “Electronic records management and public accountability: Beyond an instrumental approach,” Information Society, 17(4), 259-270.
Moloi, J. and Mutula, S. (2007). “E-records management in an e-government setting in Botswana,” Information Development, 23(4), 290–306.
Muthusamy, S. K.. and White, M.A. (2005). Learning and knowledge transfer in strategic alliances: A social exchange view. Organization Studies. 26(3): 415-441.
Parasuraman, A., Berry, L. and Zeithaml, V. (1988) “SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality,” Journal of Retailing, 64(1): 12-40.
Parrish, J.L. Jr., and Courtney, J.F. (2007), “Electronic records management in local government Agencies: The case of the clerk of courts office in Lake County Florida,” Information Systems Management, 24(3), 223–229.
Petter, S., DeLone, W., and McLean, E. (2008) “Measuring information system success: models, dimensions, measures, and interrelationships,” European Journal of Information Systems, 17: 236–263.
Petter, S., DeLone, W., and McLean, E. R.(2013) “Information Systems Success: The Quest for the Independent Variables,” Journal of Management Information Systems, 29(4):7-62.
Pothukuchi, V., Damanpour, F., Choi, J., Chen, C. C., and Park, S. H. (2002) “National and Organizational Culture Differences and International Joint Venture Performance,” Journal of International Business Studies, 33(2): 243-265.
Rai, A., Lang, S. S. and Welker, R. B. (2002) “Assessing the validity of IS success models: An empirical test and theoretical analysis,” Information Systems Research, 13(1): 50-69.
Rai, A., Maruping, L.M. and Venkatesh, V. (2009) “Offshore information systems project success: The role of social embeddedness and cultural characteristics,” MIS Quarterly, 33(3):617641.
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. Advanced quantitative techniques in the social sciences 1 (Vol. 2nd).
Sabherwal, R., Jeyaraj, A. and Chowa, C. (2006). Information system success: Individual and organizational determinants. Management Science, 52(12): 1849-1864.
Shen, D., Laffey, J. ,Lin, Y. and Huang, X. (2006) “Social Influence for Perceived Usefulness and Ease-of-Use of Course Delivery Systems,” Journal of Interactive Online Learning, 5(3):270-282.
Sprague, R.H. Jr. (1995), “Electronic document management: Challenges and opportunities for information systems managers,” MIS Quarterly, 19(1), 29-49.
Srivastava, S. C., and Teo, T. S. H. (2010), “E-government, e-business, and national economic performance,” Communications of the Association for Information Systems, 26(14), 267–286.
Steijn, B., Klijn, E. and Edelenbos, J. (2011) “Public Private Partnership: Added Value by Organizational Form or Management?” Public Administration, 89(4): 1235-1252.
Thomas, A. and Stratton, G. (2006) “What we are really doing with ICT in physical education: A national audit of equipment, use, teacher attitudes, support, and training,” British Journal of Educational Technology, 37(4):617-632.
Torres, L., Pina, V., and Acerete, B. (2005), “E-government developments on delivering public services among EU cities,” Government Information Quarterly, 22(2), 138–217.
Uzzi, B. (1997) “Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness,” Administrative Science Quarterly, 42: 35-67.
Van Wingen, R.S., Hathorn, F. and Sprehe, J.T. (1999), “Principles for information technology investment in U.S. federal electronic records management,” Journal of Government Information, 1(2), 33-42.
Venkatesh, V. and 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. and Davis, F. D. (2003) “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27(3): 425-478.
Walker, R. G., (2001), “Reporting on Service Efforts and Accomplishments on a ‘whole of government’ basis,” Australian Accounting Review, 11(3): 4-16.
Wang, W. and Wang, C. (2009). “An empirical study of instructor adoption of web-based learning systems,” Computers & Education, 53: 761-774.
West, D. M. (2004), “E-government and the transformation of service delivery and citizen attitudes,” Public Administration Review, 64(1), 15-27.
Wixom, B., & Todd, P.A. (2005) “A theoretical integration of user satisfaction and technology acceptance,” Information Systems Research, 16(1): 85-102.
Young, J. (2005), “Electronic records management on a shoestring: Three case studies,” Information Management Journal, 39(1), 58–60.