Responsive image
博碩士論文 etd-0713114-152650 詳細資訊
Title page for etd-0713114-152650
論文名稱
Title
賦稅資訊系統整合再造更新與工作績效之研究
A Study on Integration and Renewal of Tax Information Systems and Work Performance
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
115
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2014-05-21
繳交日期
Date of Submission
2014-08-24
關鍵字
Keywords
使用者滿意度、認知有用性、電腦自我效能、地方稅務資訊系統、工作績效
computer self-efficacy, work performance, local tax information systems, user satisfaction, perceived usefulness
統計
Statistics
本論文已被瀏覽 5818 次,被下載 73
The thesis/dissertation has been browsed 5818 times, has been downloaded 73 times.
中文摘要
財政乃庶政之母,賦稅收入占政府總收入之72.7% (101年度統計),為政府歲入之主要來源,其中稅務資訊系統乃落實相關稅政之主要工具,如何整合再造,有效提升稽徵機關行政效率、便民服務及維持租稅公平等三項目標,實為現今財政政策之重要課題及挑戰。
本研究試圖以Seddon (1997)及DeLone & McLean(2003)提出的修正後資訊系統成功模式(Informational System Success Model, ISSM),做為研究架構的理論依據,探討稅務工作者操作賦稅資訊系統整合再造更新整體實施計畫下,所規劃的地方稅務資訊系統後,所認知資訊品質、系統品質、服務品質之滿意度對工作績效的影響,以及加入電腦自我效能與認知有用性兩變項,分別探究其在資訊品質、系統品質、服務品質及使用者滿意度關係間的調節效果。為達上述目的,本研究以高雄市西區稅捐稽徵處為研究對象,成功地訪問了230位第一線稅務工作者,藉由統計分析方法,了解研究變項之現況關係及驗證研究假設。經研究發現:
一、「資訊品質」、「系統品質」、及「服務品質」對「使用者滿意度」具正面影響。
二、「使用者滿意度」對「工作績效」具正面影響。
三、「電腦自我效能」及「認知有用性」在資訊品質、系統品質、服務品質與使用者滿意度關係之間存在部分調節效果。
Abstract
Finance is the mother of ordinary government , the tax revenues accounted for 72.7% of total government revenue ( 101 annual statistics ) , as the main source of government revenue , of which the tax information system is the implementation of the main instruments of tax administration , how to integrate recycling , effectively raising the tax administrative efficiency , convenience services and maintain the three objectives of fair taxation , in fact, important challenges facing today's fiscal policy.
This study attempts to amended Seddon (1997) and DeLone & McLean (2003) proposed information system success model (Informational System Success Model, ISSM), as the theoretical basis for the research framework to explore the tax workers operating taxation information system integration and recycling information quality , the impact of system quality , service quality satisfaction with work performance , and adding computer self-efficacy and perceived usefulness of two variables to update the overall implementation plan under the local tax information system planning , perceived , were explored its moderating effect between information quality, system quality , service quality and user satisfaction relations. To achieve the above objective, the present study Western Revenue Service Office of Kaohsiung as the research object , successfully interviewed 230 workers in the first line of the tax , by statistical analysis, to understand the current status of the relationship between the study variables and test the hypotheses.
1. "Information Quality", "system quality" and "service quality" for "user satisfaction" has a positive impact.
2. "User satisfaction" to "work performance" has a positive impact.
3. Part of the moderating effect of "Computer self-efficacy" and "perceived usefulness" exists between information quality, system quality, service quality and user satisfaction relationships.
目次 Table of Contents
論文審定書 i
摘 要 ii
Abstract iii
第壹章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的及研究問題 4
第三節 研究流程 6
第四節 研究範圍與限制 7
第貳章 文獻探討 10
第一節 地方稅務資訊系統 10
第二節 資訊品質 19
第三節 系統品質 21
第四節 服務品質 23
第五節 電腦自我效能 27
第六節 認知有用性 29
第七節 使用者滿意度 31
第八節 工作績效 33
第九節 假設推論 33
第參章 研究設計 36
第一節 研究架構 36
第二節 研究方法 37
第三節 問卷調查 38
第四節 資料處理 51
第肆章 資料分析與討論 54
第一節 有效樣本結構敘述與變數基本分析 54
第二節 信度與效度分析 61
第三節 相關分析 64
第四節 使用者滿意度之影響因素分析 67
第五節 工作績效之影響因素分析 68
第六節 人口統計變數的影響 69
第七節 電腦自我效能的調節效果分析 82
第八節 認知有用性的調節效果分析 83
第伍章 結論與建議 85
第一節 研究結論 85
第二節 管理意涵 88
第三節 未來研究方向與建議 91
參考文獻 93
附錄 研究問卷 102
參考文獻 References
一、中文文獻
中華民國統計資訊網-全國賦稅收入初步統計概況http://www.stat.gov.tw/lp.asp?CtNode=2297&CtUnit=1818&BaseDSD=29&mp=4
吳旻靚(2008)。電腦自我效能調節知識管理系統使用者滿意度之研究-以Delphi K.Top網站為例。國立中正大學資訊管理研究所碩士論文。
邱皓政(2010)。量化研究與統計分析:SPSS(PASW)資料分析範例解析(第五版)。台北:五南。
許永豐(2006)。公部門知識管理系統的導入對使用者滿意度的影響。私立義守大學資訊管理學系碩士論文。
郭宏益(2006)。影響電腦整合製造資訊系統使用者滿意之差異分析:管理者與作業者之觀點比較。國立中正大學資訊管理研究所碩士論文。
財政部財政史料陳列室 http://www.mof.gov.tw/museum/
高雄市西區稅捐稽徵處 http://www.kctax.gov.tw
袁國榮、季璐、林憬、吳寶玉(2012)。台電公司公文及檔案管理資訊系統品質與使用者滿意之研究。顧客滿意學刊,第八卷 第二期,頁2237-270。
陳育亮、鄭淑慧(2010)。網路教學與社群學習在成人教育的應用-以混成式網路學習探討其行為意向。資訊管理學報,17(1),頁177-196。
傅德生(2010)。影響使用數位學習系統滿意度與使用意願之研究—整合資訊系統成功模型與科技接受模型。國立中央大學企業管理研究所學位論文。
黃百立(1995)。資訊服務系統使用效益與成功模式之研究。東吳大學商學院資訊科學系碩士論文。
詹運強、廖本裕、陳志賢(2010)。屏東縣線上財產管理系統使用者接受度及其影響因素研究。大仁學報;37期,頁93。
賦稅資訊系統整合再造更新整體實施計畫。財政部出版,98年12月。
蔡松益(2008)。應用差異理論來探討影響放射線部門使用PACS系統之滿意度-以台灣區域級以上醫院實際建置經驗為例。國立中正大學資訊管理研究所碩士論文。
劉淑娟(2005)。應用差異理論探討資訊系統使用者滿意度之研究-以中正大學會計資訊系統為例,國立中正大學會計與資訊科技研究所碩士論文。
劉建宏(2004)。網際虛擬學習環境中學習效果之研究。國立高雄第一科技大學資訊管理系碩士論文。
賴崇閔、黃秀美、廖述盛、黃雯雯(2009)。3D 虛擬實境應用於醫學教育接受度之研究。教育心理學報,40(3),頁341-361。
顏奕仁、周惠文、林裕勛(2010)。個人工作績效之探討-整合任務科技配適模式與社會認知理論。中原企管評論。8卷1期,頁143-165。

二、英文文獻
Adrien Presley & Theresa Presley (2009). Factors Influencing Student Acceptance and Use of Academic Portals. Journal of Computing in Higher Education, v21 n3 pp.167-182.
Alexander, B., Koufaris, M., & Hess, T. (2012). Service quality in software-as-a-service:Developing the SaaS-Qual measure and examining its role in usage continuance. Journal of Management Information Systems, 28(3), pp.85-126.
Anderson, E. W., Forndll, C. and Donald, R. L.,(1994). Customer Satisfaction, Market Share, and Profitability: Findings From Sweden. Journal of Marketing,vol. 58(3),pp. 53-66.
Bailey, J. E. & Pearson, S. W., (1983). Development of a Tool for Measuring and AnalyzingComputer User Satisfaction. Management Science, Vol. 29, No. 5, pp. 530-545.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), pp. 191-215.
Barnes, S. J., & Vidgen, R. (2001). An evaluation of cyber-bookshops: The WebQual method. International Journal of Electronic Commerce, 6(1), pp.11-30.
Bandura, A., (1986). Social Foundations of Thought and Action: ASocial-Cognitive Theory, Englewood Cliffs, NJ: Prentice-Hall.Bhattacherjee, A., 2001, Understanding Information Systems Continuance: AnExpectation-Confirmation Model, MIS Quarterly, 25(3), pp. 351-370.
Bhattacherjee, A., (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), pp. 351-370.
Bharati, P. (2003). People and information matter: Task support satisfaction from the other side. Journal of Computer Information Systems,43(2), pp.93-102.
Bourgonjon, J., Alcke, M., Soetaert, R. & Schellens T.(2010). Computers & Education, 54(4), pp. 1145-1156.
Campbell, J. P. (1990). Modeling the performance prediction problem in industrial and organizational psychology. In M. D. Dunnette & L. M. Hough (Eds.), Handbook ofindustrial and organizational psychology.
Chin, J. P., Diehl, V. A., and Norman, K. L. (1988). Development of a Tool Measuring User Satisfaction of the Human-Computer Interface. Management Science.
Compeau, D. R. and Higgins, C. A., (1995a). Application of Social Cognitive Theory to Training for Computer Skills. Information Systems Research, 6(2),pp. 453-457.
Compeau, D. R. and Higgins, C. A., (1995b). Computer Self-efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), pp. 189-211.
Cyert, R.M. and March, J.G.(1963). A Behavioral Theory of the Firm, Prentice-Hall, Englewood Cliffs, NJ.
Dabholkar, P. A., Shepherd, C. D., & Thorpe, D. I. (2000). A comprehensive framework for service quality: An investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76(2), pp. 139-173.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-userinformation systems: Theory and results doctoral dissertation. Sloan School of Management, Massachusetts Institute of Technology.116
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), pp. 319-339.
Davis, F. D., Bagozzi, R.P., & Warshaw, P. R. (1989). User acceptance of two theoretical models. Management Science, 35(8), pp. 982-1003.
DeLone, W.H., & McLean, E.R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research,3(1), pp. 60–95.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems,19(4), pp. 9-30.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information & Management,36(1), pp. 9-21.
Doll, W. J. and Torkzadeh, G., (1988). The Measurement of End-User Computing Satisfaction. MIS Quarterly, vol. 12(2) ,pp. 259-274.
Etezadi-Amoli, J. and Farhoomand, A. F.(1996). A Structural Model of End User Computing Satisfaction and User Performance. Information & Management (30), pp.65-73.
Floh, A., & Treiblmaier, H. (2006). What keeps the e-banking customer loyal? A multigroup analysis of the moderating role of consumer characteristics on e-loyalty in the financial service industry. Journal of Electronic Commerce Research, 7(2), pp.97-110.

Galletta, D. F. and Lederer, A. L., (1989). Some Caution on the Measurement ofUser Information Satisfaction. Decision Sciences, 20(3), pp. 419-438.
Gelderman, M. (1997). The Relation between User Satisfaction, Usage of Information Systems and Performance. Information and Management 34 (1), pp. 11-18.
González, M. E. A., Comesaña, L. R., & Brea, J. A. F. (2007). Assessing tourist behavioral intentions through perceived service quality and customer satisfaction. Journal of Business Research, 60(2), pp.153-160.
Goodhue, D. L. and Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19 (2), pp. 213- 236.
Hollis, Landrum, Victor, R. Prybutok, (2004). A service quality and success model for the information service industry. European Jorunal of Operational Research, 156: pp.628-642.
Hong, S. C., & Goo, Y. J. J. (2004). A causal model of customer loyalty in professional service firms: An empirical study. International Journal of Management, 21(4), pp. 531-540.
Hsu, M. K., Wang, S. W., and Chiu, K. K., (2009). Computer Attitude, Statistics Anxiety and Self-efficacy on Statistical Software Adoption Behavior: An Empirical Study of Online MBA Learners, Computers in Human Behavior,25(2), pp. 412-420.
Hurley, R. F., & Estelami, H. (1998). Alternative indexes for monitoring customer perceptions of service quality: A comparative evaluation in a retail context. Journal of the Academy of Marketing Science, 26(3), pp. 209-221.
Ives, B., Olson, M.H., and Baroudi, J.J.(1983). The Measurement of User Information Satisfaction. Communications of the ACM (26:10), October, pp. 785-793.
Lee, Ming-Chi.(2010). Explaining and Predicting Users' Continuance Intention toward E-Learning: An Extension of the Expectation-Confirmation Model. Computers & Education, 54(2), pp. 506-516.
Lehtinen, U. & J. R.Lehtinen, (1991). Two Approaches to Service Quality Dimensions. The Service Industries Journal, 11(3), pp.287-303.
Liaw, S.-S., Chen, G.-D., & Huang, H.-M. (2008). Users’ attitudes toward Web-based collaborative learning systems for knowledge management. Computers & Education, 50, pp.950-961.
Lightner, N. J. and Eastman, C., (2002). User preference for product information in remote purchase environment. Journal of Electronic Commerce Research, vol.3(3),pp. 174-186.
Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of Web sites. International Journal of Electronic Commerce, 11(3), pp. 51-87.
Lee, Ming-Chi.(2010). Explaining and Predicting Users' Continuance Intention toward E-Learning: An Extension of the Expectation-Confirmation Model. Computers & Education, 54(2), pp. 506-516.
Lee, Ming-Chi.(2010). Explaining and Predicting Users' Continuance Intention toward E-Learning: An Extension of the Expectation-Confirmation Model. Computers & Education, 54(2), pp. 506-516.
Ma, Q., Pearson, J., & Tadisina, S. (2005). An exploratory study into factors of service quality for application service providers. Information & Management, 42(8), pp. 1067-1080.
Madhavan, P. and Phillips, R. R., (2010). Effects of Computer Self-efficacy and System Reliability on User Interaction with Decision Support Systems, Computers in Human Behavior, 26(2), pp. 199-204.
Martocchio, J. J., & Dulebohn, J. (1994). Performance feedback effects intraining: the role of perceived controllability. Personnel Psychology, 47(2),pp. 357-373.
McKeen, J. D., Guimaraes, T., and Wetherbe, J. C. (1994). The Relationship between User Participation and User Satisfaction: An Investigation of Four Contingency Factors, MIS Quarterly, pp. 427-451.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), pp. 217–230
Negash, S., Ryan, T. and Igbaria, M., (2003). Quality and effectiveness in Web-based customer support systems. Information and Management, vol.40(8),pp. 757–768.
Nelson, R. R., Todd, R. A. and Wixom, B. H., (2005). Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing. Journal of Management Information Systems, vol. 21(4),pp.199-235.
Oliver, R. L., (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, vol. 17(4),pp. 460-469.
Oliver, R. L., & DeSarbo, W. S., (1988). Response Determinants in Satisfaction judgment. Journal of Consumer Research, 14, pp.495-507.
Olsen, S. O. (2002). Comparative evaluation and the relationship between quality, satisfaction,and repurchase loyalty. Journal of the Academy of Marketing Science, 30(3),pp. 240-249.
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), pp. 41-50.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing,64(1), pp.12-40.
Park, Y. S. and Han, S. H., (2010). Touch key design for one-handed thumb interaction with a mobile phone: Effects of touch key size and touch key location. International Journal of Industrial Ergonomics, vol. 40(1),pp. 68–76.
Park, J., Kim, J., and Koh, J., (2010). Determinants of continuous usage intention in web analytics services. Electronic Commerce Research and Applications, vol.9(1),pp. 61–72.
Porter, L. W., & Lawler, E. E. (1968). Managerial attitudes and performance. Homnwood, IL: Richard D. Irwin
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of information systems success models : An empirical test and theoretical analysis. Information SystemsResearch, 13(1), pp.50-69.
Sakaguchi, T. and Frolick, M. N., (1997). A Review of the Data Warehousing Literature. Journal of Data Warehousing, vol. 2(1),pp. 34-54.
Sanders, G. L., & Garrity, E. J. (1995). Dimensions of information system success.Unpublished paper. State University of New York at Buffalo, Buffalo, NJ.
Sasser W. E., R. P. Olsen & D. D. Wyckoff, (1978). Management of Service Operations: Text, Cases & Readings, Boston: Allyn & Bacon.Shih, H.P., 2004, An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management, 41(3), pp.351-368.
Seddon , P. B. (1997). A Respecification and Extension of DeLone and McLean Model of IS Success. Information Systems Research, pp. 240-252.
Swaid, S. I., & Wigand, R. T. (2009). Measuring the quality of e-service: Scale development and initial validation. Journal of Electronic Commerce Research, 10(1), pp. 13-28.
Teo, Timothy(2010). Examining the Influence of Subjective Norm and FacilitatingConditions on the Intention to Use Technology among Pre-Service Teachers: A Structural Equation Modeling of an Extended Technology Acceptance Model. Asia PacificEducation Review, 11 (2), pp. 253-262.
Wang, Y. S., (2008). Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, vol. 18(5),pp. 529–557.
Wixom, B. H. and Todd, P. A., (2005). A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research,16(1), pp. 85-102.
Yu, C. H., Chang, H. C., & Huang, G. L. (2006). Customer satisfaction and loyalty in Taiwanese leisure industry. Journal of American Academy of Business, 9(1), pp.126-132.
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery throughWeb sites: A critical review of extant knowledge. Journal of the Academic of MarketingScience, 20(4), pp. 362-375.
電子全文 Fulltext
本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。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code