The Effect of End User Involvement in ECT-IS continuance model

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：62

、訪客IP：3.138.119.68

姓名

孟和(Munkhjargal Badamgarav) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

The Effect of End User Involvement in ECT-IS continuance model
(The Effect of End User Involvement in ECT-IS continuance model)

相關論文

★ 在社群網站上作互動推薦及研究使用者行為對其效果之影響	★ 以AHP法探討伺服器品牌大廠的供應商遴選指標的權重決定分析
★ 以AHP法探討智慧型手機產業營運中心區位選擇考量關鍵因素之研究	★ 太陽能光電產業經營績效評估－應用資料包絡分析法
★ 建構國家太陽能電池產業競爭力比較模式之研究	★ 以序列採礦方法探討景氣指標與進出口值的關聯
★ ERP專案成員組合對績效影響之研究	★ 推薦期刊文章至適合學科類別之研究
★ 品牌故事分析與比較-以古早味美食產業為例	★ 以方法目的鏈比較Starbucks與Cama吸引消費者購買因素
★ 探討創意店家創業價值之研究- 以赤峰街、民生社區為例	★ 以領先指標預測企業長短期借款變化之研究
★ 應用層級分析法遴選電競筆記型電腦鍵盤供應商之關鍵因子探討	★ 以互惠及利他行為探討信任關係對知識分享之影響
★ 結合人格特質與海報主色以類神經網路推薦電影之研究	★ 資料視覺化圖表與議題之關聯

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

現今許多企業已藉著引進新的軟體系統與購置先進的硬體設備來提升內部的管理效率與降低營運成本，希望能提昇公司的競爭力，在這些工具中，企業資源規（Enterprise Resource Planning，ERP）扮演著很重要的地位。它是一套可以整合企業相關資訊與企業營運流程，並且能夠及時提供經營者與管理者所需資訊的大型資訊系統。因此，本研究以導入 ERP 的公司做為主要的研究對象, 使用Bhattacherjee (2001a)為因應資訊系統所發展出來的 ECT-IS 模型作為研究基礎，加入使用者涉入這個構念，企圖提高使用者對於資訊系統的持續使用意願，讓公司在資訊系統上線後能夠更順利的運作。
本研究主要探討企業形象使用者持續使用意願。並加入涉入的干擾效果. 。本研究之結果顯示使用者涉入與持續使用意願之間有顯著的正向關係。

摘要(英)

Many firms have implemented enterprise resource planning (ERP) systems in the past few years. This study looks at the influence that end user involvement (EUI) has on the organizational ERP system continuance. The main concept originally comes from Oliver‘s Expectation - Confirmation Theory. Using the ECT-IS continuance model from Bhattacherjee (2001) be the foundation. Within the field of information system, user involvement generally refers to participation in the systems development process by potential users or their representatives and is measured as a set of behaviors or activities that such individuals perform. This thesis separated user involvement as user participation (a set of behaviors or activities performed by users in the system development process) and user involvement (a subjective psychological state reflecting the importance and personal relevance of a system to the user. This paper argues that individual‘s psychological state has a positive impact on ECT-IS continuance model.
An email and Google survey was used to collect data in organizations, using ERP system. A total of 400 responses were obtained. The results indicate that end user involvement affect confirmation, perceived usefulness and continuance intention of ERP system. The result reveals EUI has a positive impact to perceived usefulness, confirmation and continuance intention. . The results suggest that continuance intention of ERP system is determined by end user involvement, and followed by perceived usefulness and user satisfaction.

關鍵字(中)

★ 期望確認理論
★ 持續使用意願
★ 知覺有用性
★ 使用者涉入
★ 企業資源規劃

關鍵字(英)

★ Continuance Intention
★ Confirmation
★ Perceived Usefulness
★ Expectation-Confirmation Paradigm
★ ERP System
★ End user involvement

論文目次

ABSTRACT i
TABLE OF CONTENT ii
LIST OF FIGURES iv
LIST OF TABLES v
CHAPTER I: OVERVIEW OF THE STUDY (INTRODUCTION) 1
1.1 Motivation for the Study 1
1.2 Research Goal and Questions 3
1.3 Research Cycle 4
1.4 Paper structure 5
CHAPTER II: LITERATURE REVIEW 6
2.1 Expectation Confirmation Model for IS Continuance 6
2.2 Perceived Usefulness 11
2.3 Confirmation 12
2.4 User Satisfaction 14
2.5 Continuance intention 16
2.6 End user involvement 17
CHAPTER 3: RESEARCH METHODOLOGY 19
3.1 Research model 19
3.2 Hypotheses 20
3.2.1 End user involvement and perceived usefulness relationship 21
3.2.2 End user involvement and confirmation relationship 23
3.2.3 End user involvement and continuance intention relationship 25
3.3 Definitions and measurement items 26
3.4 Research design 31
3.4.1 Data collection 31
3.4.2 Procedure of Questionnaire Design 31
3.5 Data analysis method 32
3.5.1 Descriptive Statistics 32
3.5.2 Linear Structure Relation 33
CHAPTER IV: DATA ANALYSIS AND RESULT 34
4. 1 Demographic data analysis 34
4.1.1 Basic data analysis 34
4.1.2 Test of Homogeneity 38
4.2 Descriptive Statistics 39
4.2.1 Mean value and Standard deviation analysis 39
4.2.2 The Pearson correlation coefficient 40
4.3 Instrument quality analysis 42
4.3.1 Validity and reliability analysis 42
4.3.2 Pattern analysis 45
4-4 Hypothesis testing 48
4.4.1 Structural Equation Model 48
4.4.2 Analysis of model effect 51
4.5 Summary 56
CHAPTER V: CONCLUSION 57
5.1 Managerial Implication and Future research………………………….58
REFERENCES 61
APPENDIX: ORIGINAL QUESTIONNAIRE 65

參考文獻

[1] Richard L. Oliver, "A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions", Journal of Marketing Research, Vol 17 (4), pp. 460-469, 1980.
[2] A. Bhattacherjee, "Understanding information systems continuance: An expectation-confirmation model", Mis Quarterly, Vol 25 (3), pp. 351-370, 2001.
[3] M. Y. Yi and F. D. Davis, "Improving computer training effectiveness for decision technologies: Behavior modeling and retention enhancement", Decision Sciences, Vol 32 (3), pp. 521-544, 2001.
[4] D. Gefen, "What makes an ERP implementation relationship worthwhile: Linking trust mechanisms and ERP usefulness", Journal of Management Information Systems, Vol 21 (1), pp. 263-288, 2004.
[5] Kwasi Amoako-Gyampah, “Perceived usefulness, user involvement and
behavioral intention: an empirical study of ERP implementation” Computers in Human Behavior Volume 23 (3) 1232-1248 2007
[6] Y. J. Hwang, "Investigating enterprise systems adoption: uncertainty avoidance, intrinsic motivation, and the technology acceptance model", European Journal of Information Systems, Vol 14 (2), pp. 150-161, 2005.
[7] C. S. Lin, S. Wu, and R. J. Tsai, "Integrating perceived playfulness into expectation-confirmation model for web portal context", Information & Management, Vol 42 (5), pp. 683-693, 2005.
[8] A. Bhattacherjee, "An empirical analysis of the antecedents of electronic commerce service continuance", Decision Support Systems, Vol 32 (2), pp. 201-214, 2001.
[9] J. Y. L. Thong, S. J. Hong, and K. Y. Tam, "The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance", International Journal of Human-Computer Studies, Vol 64 (9), pp. 799-810, 2006.
[10] Y. S. Kang, S. Hong, and H. Lee, "Exploring continued online service usage behavior: The roles of self-image congruity and regret", Computers in Human Behavior, Vol 25 (1), pp. 111-122, 2009.
[11] Doll and Torkzadeh, Congruence construct of user involvement. A journal of the decision sciences Volume 22 Issue 2, Pages 443 - 453 1991
[12] Doll and Torkzadeh, “A discrepancy model of end user computing involvement” Management Science Volume 35 , Issue 10 1151 - 1171 1989
[13] Shivraj Kanungo and Shantanu Bagchi, Understanding User Participation and
Involvement in ERP Use Journal of Management Volume 1, Issue 1 p47, 17p 2001
[14] Fred D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", Mis Quarterly, Vol 13 (3), pp. 319-340, 1989.
[15] Henri and Barki, Measuring User Participation, User Involvement, and User
Attitude Mis Quarterly Volume 18 , Issue 1 59 - 82 1994
[16] T. McGill and J. Klob, User developed application success: sources and effects of involvement Behaviour & Information Technology, Volume 27 (5) 407 – 422 2008
[17] R. L. Oliver, "Measurement and Evaluation of Satisfaction Processes in Retail Settings", Journal of Retailing, Vol 57 (3), pp. 25-48, 1981.
[18] A. Bhattacherjee, J. Perols, and C. Sanford, "Information Technology Continuance: A Theoretic Extension and Empirical Test", Journal of Computer Information Systems, Vol 49 (1), pp. 17-26, 2008.
[19] William J. Doll and Gholamreza Torkzadeh, "The Measurement of End-User Computing Satisfaction", Mis Quarterly, Vol 12 (2), pp. 259-274, 1988.
[20] Gordon M. Davis, “ Empirical study of the impact of user involvement on system usage and information satisfaction” Communication of ACM, Volume 29, Issue 3 232 - 238 1986
[21] T. M. Somers, K. Nelson, and J. Karimi, "Confirmatory factor analysis of the end-user computing satisfaction instrument: Replication within an ERP domain", Decision Sciences, Vol 34 (3), pp. 595-621, 2003.
[22] C. M. K. Cheung and M. K. O. Lee, "User Satisfaction with an Internet-Based Portal: An Asymmetric and Nonlinear Approach", Journal of the American Society for Information Science and Technology, Vol 60 (1), pp. 111-122, 2009.
[23] R. O. Briggs, B. A. Reinig, and G. J. de Vreede, "The yield shift theory of satisfaction and its application to the IS/IT domain", Journal of the Association for Information Systems, Vol 9 (5), pp. 267-293, 2008.
[24] W. J. Kettinger and C. C. Lee, "Perceived Service Quality and User Satisfaction with the Information-Services Function", Decision Sciences, Vol 25 (5-6), pp. 737-766, 1994.
[25] L. Festinger, A theory of cognitive dissonance, Evanston, IL: Row, Peterson, 1957.
[26] V. Venkatesh and F. D. Davis, "A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies", Management Science, Vol 46 (2), pp. 186-204, 2000.
[27] Karin Klenke, “ Construct measurement in information systems: A review and
critique of user satisfaction and user involvement instruments. INFOR Vol. 30 Issue 4, p325-348, 24p 1992
[28] Ronald M. Young, “Discussion of The Effects of Explanation Type and User Involvement on Learning from and Satisfaction with Expert Systems” Journal of Information Systems (Spring): 18-20. 1994
[29] Leon A. Kappelman, “Measuring user involvement: a diffusion of innovation
Perspective ACM SIGMIS Database Volume 26, Issue 2-3 65 – 86 1995
[30] Paulus Insap Santosa,Kwok Kee Wei, Hock Chuan Chan, “User involvement and
user satisfaction with information-seeking activity” European Journal of Information Systems Volume 14 , Issue 4 361 – 370 2005
[31] Sari Kujala “ User involvement: a review of the benefits and challenges.” Behaviour & Information Technology, Vol. 22, No. 1 pp. 1-16 2003
[32] S. Thomas Foster Jr, Charles R. Franz, User involvement during information
systems development: a comparison of analyst and user perceptions of system
acceptance Journal of Engineering and Technology Management Volume 16, Issues 3-4 329-348 1999
[33] J. W. Moon and Y. G. Kim, "Extending the TAM for a World-Wide-Web context", Information & Management, Vol 38 (4), pp. 217-230, 2001.
[34] Patrick J. Rondeau, T.S. Ragu-Nathan, Mark A Vonderembse How involvement,
IS management effectiveness, and end-user computing impact IS performance in manufacturing firms Information and Management Volume 43 , Issue 1 93 - 107 2006
[35] Lucas, H. C., JR Why Information Systems Fail, book Columbia University Press, New York, 1975.
[36] Henri Barki Jon Hartwick , Rethinking the Concept of User Involvement MIS Quarterly, Vol. 13, No. 1 pp. 53-63 1989
[37] S. Blili, L. Raymond, S. Rivard, “Impact of task uncertainty, end-user
involvement, and competence on the success of end-user computing” Information and Management Volume 33 , Issue 3 137 – 153 1998
[38] Eva Jonas, Verena Graupmann, Dieter Frey ‘’The Influence of Mood on the Search for Supporting Versus Conflicting Information: Dissonance Reduction as a Means of Mood Regulation?’’ Personality and Social Psychology Bulletin, Vol. 32, No. 1, 3-15 2006
[39] Y. Yi, "A critical review of consumer satisfaction", Review of Marketing, pp. 68-123, 1990.
[40] M. H. Hsu, C. M. Chiu, and T. L. Ju, "Determinants of continued use of the WWW: an integration of two theoretical models", Industrial Management & Data Systems, Vol 104 (8-9), pp. 766-775, 2004.
[41] V. McKinney, K. Yoon, and F. Zahedi, "The measurement of web-customer satisfaction: An expectation and disconfirmation approach", Information Systems Research, Vol 13 (3), pp. 296-315, 2002.
[42] W. J. Kettinger and C. C. Lee, "Pragmatic perspectives on the measurement of information systems service quality", Mis Quarterly, Vol 21 (2), pp. 223-240, 1997.
[43] C. Fornel and D. F. Larcker, "Evaluating Structral Equations with Unobservable Variables and Measurement Error", Journal of Marketing Research, Vol 18 (1), pp. 39-50, 1981.
[44] J. F. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis, (5 Eds.), Prentice-Hall, New Jersey, 1998.
[45] P. M. Bentler and Bonnett D. G., "Significance Tests and Goodness of Fit in the Analysis of Covariance Structures", Psychological Bulletin, Vol 88 (3), pp. 588-606, 1980.
[46] L. A. Hayduk, Structural Equation Modeling with LISREL: Essentials and Advances, Johns Hopldns Press, Baltimore, 1987.
[47] J. E. Scott, The measurement of information systems effectiveness: evaluating a measuring instrument. In Proceedings of the Fifteenth International Conference on Information Systems, Vancouver, BC, pp. 111-128, 1994.
[48] S. L. Jarvenpaa, N. Tractinsky, and M. Vitale, "Consumer Trust in an Internet Store", Information Technology and Management, Vol 1, pp. 45-71, 2000.
[49] R. P. Bagozzi and Y. Yi, "On the Evaluation of Structural Equation Mdels", Academy of Marking Science,(16), pp. 76-94, 1988.
[50] L. Hu and P. M. Bentler, "Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives", Structural Equation Modeling, Vol 6 (1), pp. 1-55, 1999.
[51] Wu, C. G. Gerlach, J. H. Young, C. E. An empirical analysis of open source software developers' motivations and continuance intentions Information & Management, 44(3), 253-262. 2007
[52] Jen-Her Wu, Yu-Min Wang Measuring ERP success: the ultimate users’ view International Journal of Operations & Production Management Vol 26 Issue 8 Page 882-903.
[53] Anne , Maung K. Sein The Influence of User Involvement and Personal Innovativeness on User Behavior International Journal of Humanities and Social Sciences Volume 2 Number 1 7-12 2007
[54] Richard R Bagozzi , Youjae Yi, On the Evaluation of Structural Equation Models Journal of the Academy of Marketing Science, Vol. 16, No. 1, 74-94 1988
[55] Hee-Woong Kim, Hock Chuan Chan, Yee Pia Chan A balanced thinking–feelings model of information systems continuance International Journal of Human-Computer Studies Volume 65 Issue 6 Pages 511-525 2007
[56] Eva Jonas , Verena Graupmann , Dieter Frey The Influence of Mood on the Search for Supporting Versus Conflicting Information: Dissonance Reduction as a Means of Mood Regulation? Personality and Social Psychology Bulletin, Vol. 32, No. 1, 3-15 2006
[57] Leon Festinger, “Cognitive dissonance theory” book Chapter 16 page 206-508 1957
[58] Nathan A. Bowling, Terry A. Beehr, Stephen H. Wagner, and Terry M. Libkuman Adaptation-Level Theory, Opponent Process Theory, and Dispositions: An Integrated Approach to the Stability of Job Satisfaction Journal of Applied Psychology Vol. 90 Issue 6, p1044-1053 2005
[59] Margrethe Olson, Blake Ives. User involvement in system design: An empirical test of alternative approaches. NYU Working Paper No. IS-81-29 1981
[60] Franz, C. R., "Contingency Factors Affecting the User Involvement Role in the Design of Successful Information Systems," Ph.D. dissertation, University of Nebraska, 1979.

指導教授

許秉瑜(Ping-Yu Xu)

審核日期

2010-8-31

推文