資訊系統如何影響內部控制目標？

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姓名

鍾仕胤(SHI-YIN JHONG) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

資訊系統如何影響內部控制目標？
(How Does Information System Affect Internal Control Objectives?)

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摘要(中)

我們提供了關於資訊系統與內部控制之間因果關係的證據。並測試了中介效果是否存在。相關資料透過發送1850份發放問卷，並由台灣公開發行之公司主管人員進行填答。有效樣本數為254，回復率為13.73％。結果表明，確實遵守內控五要素能有效的幫助企業達成內控目標，並進而提高內控。同時，資訊系統績效被證實具有中介效果，因此提高資訊系統績效將有助於企業有效達成內控目標。但是，透過資訊系統績效的提升來改善內控目標的達成率前，企業必須先確實的遵守內控五要素後，才能有效的透過資訊系統績效達成內控目標並進而提高內控。

摘要(英)

The article provides the evidence that documents the causal relation between Information System (IS) and Internal Control (IC). Data is collected by mailing 1850 questionnaire to managers of publicly traded companies in Taiwan. We collected 254 the answered questionnaire and the respondent rate is 13.73%. and We test mediating effects. The results show, effectively following Five of IC elements can help the corporation to achieve IC Objectives to improve IC. At the same time, the evidence shows that the mediating effect is existence which IS performance supports the companies to achieve IC Objectives. But, IC elements need to be followed first, and then, the corporation can effectively achieve IC objectives through improvement of IS performance to enhance IC.

關鍵字(中)

★ 資訊系統
★ 中介效果
★ 內控目標
★ 內控要素

關鍵字(英)

★ Information System
★ Mediator Effect
★ Internal Control Objectives
★ Internal Control Elements

論文目次

Abstract i
中文摘要 ii
Table of Contents iii
List of Tables iv
List of Figures iv
1. Introduction 1
2. Literature 3
2.1 Internal Control Elements and Internal Control Objectives 3
2.2 Information System and Internal Control 4
3. Methodology 6
3.1 Research and Questionnaire Design 6
3.2 Evaluation of Construct and Calculation of Weights 6
3.2.1 Evaluation of Construct 6
3.2.2 Calculation of Weights 9
3.3 Examination of the mediating effect 10
4. Empirical Analysis and Results 11
4.1 Non-response bias 12
4.2 Model Measurement 13
4.2.1 Outer Model 14
4.2.2 Inner Model 16
4.3 Analysis of mediating effects 18
5. Conclusion 19
Acknowledgement 21
Reference 21

參考文獻

1. AICPA. (2001). The Effect of Information Technology on the Auditor′s Consideration of Internal Control in a Financial Statement Audit:(amends Statement on Auditing Standards No. 55, Consideration of [the] Internal Control [structure] in a Financial Statement Audit, AICPA, Professional Standards, Vol. 1, AU Sec. 319): American Institute of Certified Public Accountants.
2. Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 14, No. 3(Recent Developments), 396-402.
3. Arvidsson, V., Holmström, J., & Lyytinen, K. (2014). Information systems use as strategy practice: A multi-dimensional view of strategic information system implementation and use. The Journal of Strategic Information Systems, 23(1), 45-61.
4. Ashbaugh-Skaife, H., Collins, D. W., Kinney Jr, W. R., & LaFond, R. (2008). The effect of SOX internal control deficiencies and their remediation on accrual quality. The accounting review, 83(1), 217-250.
5. Ashbaugh‐Skaife, H., Collins, D. W., Kinney Jr, W. R., & LaFond, R. (2009). The effect of SOX internal control deficiencies on firm risk and cost of equity. Journal of Accounting research, 47(1), 1-43.
6. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
7. Biddle, G. C., Hilary, G., & Verdi, R. S. (2009). How does financial reporting quality relate to investment efficiency? Journal of Accounting and Economics, 48(2-3), 112-131.
8. Board, P. C. A. O. (2004). Auditing Standard No. 2: An audit of internal control over financial reporting performed in conjunction with an audit of financial statements. PCAOB, March, 9.
9. Board, P. C. A. O. (2007). An audit of internal control over financial reporting that is integrated with an audit of financial statements. AUDITING.
10. Bulgacs, S. (2013). The first phase of creating a standardised international innovative technological implementation framework/software application. International Journal of Business and Systems Research, 7(3), 250-265.
11. Cheng, M., Dhaliwal, D., & Zhang, Y. (2013). Does investment efficiency improve after the disclosure of material weaknesses in internal control over financial reporting? Journal of Accounting and Economics, 56(1), 1-18.
12. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
13. Cohen, J. (1977). Statistical power analysis for the behavioral sciences (revised ed.). In: New York: Academic Press.
14. Commission, C. o. S. O. o. t. T. (1992). Internal Control — integrated framework Committee of Sponsoring Organizations of the Treadway Commission, Jersey City, NJ: AICPA.
15. Commission, C. o. S. O. o. t. T. (2013a). Internal control-Integrated framework: American Institute of Certified Public Accountants.
16. Commission, C. o. S. O. o. t. T. (2013b). Internal Control-Integrated Framework: Internal Control Over External Financial Reporting: a Compendium of Approaches and Examples: Committee of Sponsoring Organizations of the Treadway Commission.
17. Cronbach, L. J., & Shavelson, R. J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and psychological measurement, 64(3), 391-418.
18. Dalci, İ., & Taniş, V. N. (2004). Benefits of computerized accounting information systems on the JIT production systems. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13(1).
19. Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application (Vol. 1): Cambridge university press.
20. 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), 9-30.
21. Doyle, J. T., Ge, W., & McVay, S. (2007). Accruals quality and internal control over financial reporting. The accounting review, 82(5), 1141-1170.
22. Ehie, I. C., & Madsen, M. (2005). Identifying critical issues in enterprise resource planning (ERP) implementation. Computers in industry, 56(6), 545-557.
23. Everson M.E.A., S. S. E., Martens F.J., Beston C.M., Harris C.E., Garcia J.A., et al. (2013). Internal Control — Integrated Framework. USA: Committee of Sponsoring Organizations of the Treadway Commission (COSO).
24. Feng, M., Li, C., McVay, S. E., & Skaife, H. (2015). Does ineffective internal control over financial reporting affect a firm′s operations? Evidence from firms′ inventory management. The accounting review, 90(2), 529-557.
25. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
26. Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.
27. Grégoire, Y., & Fisher, R. J. (2006). The effects of relationship quality on customer retaliation. Marketing Letters, 17(1), 31-46.
28. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). In: Upper Saddle River, NJ: Pearson Prentice Hall.
29. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.
30. Hair Jr, J., Anderson, R. E., Tatham, R. L., & Black, W. (1995). Multiple discriminant analysis. Multivariate data analysis, 178-256.
31. Hammersley, J. S., Myers, L. A., & Shakespeare, C. (2008). Market reactions to the disclosure of internal control weaknesses and to the characteristics of those weaknesses under section 302 of the Sarbanes Oxley Act of 2002. Review of Accounting Studies, 13(1), 141-165.
32. Hogan, C. E., & Wilkins, M. S. (2008). Evidence on the audit risk model: Do auditors increase audit fees in the presence of internal control deficiencies? Contemporary Accounting Research, 25(1), 219-242.
33. Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS quarterly, 21(3), 279-305.
34. ITGI. (2004). IT Control Objectives for Sarbanes-Oxley: The Importance of IT in the Design, Implementation and Sustainability of Internal Control over Disclosure and Financial Reporting. In: IT Governance Institute Chicago, IL.
35. Landsittel, D. L., & Rittenberg, L. E. (2010). COSO: Working with the academic community. Accounting Horizons, 24(3), 455-469.
36. Lawson, B. P., Muriel, L., & Sanders, P. R. (2017). A survey on firms′ implementation of COSO′s 2013 Internal Control–Integrated Framework. Research in Accounting Regulation, 29(1), 30-43.
37. Li, C., Raman, K., Sun, L., & Wu, D. (2015). The SOX 404 internal control audit: Key regulatory events. Research in Accounting Regulation, 27(2), 160-164.
38. Marcoulides, G. A., & Saunders, C. (2006). Editor′s comments: PLS: a silver bullet? MIS quarterly, 30(2), iii-ix.
39. McKnight, D. H., Lankton, N. K., Nicolaou, A., & Price, J. (2017). Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust. The Journal of Strategic Information Systems.
40. Murphy, M. (2015). Companies drag feet on updating fraud safeguards. Wall Street Journal.
41. Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS quarterly, 623-656.
42. Pirouz, D. M. (2006). An overview of partial least squares.
43. Ringle, C. M., Sarstedt, M., & Mooi, E. A. (2010). Response-based segmentation using finite mixture partial least squares. Paper presented at the Data Mining.
44. Ringle, C. M., Sarstedt, M., & Straub, D. (2012). A critical look at the use of PLS-SEM in MIS Quarterly. MIS quarterly, 36(1), iii-xiv.
45. Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH. Retrieved from http://www.smartpls.com
46. Rupp, I., Triemstra, M., Boshuizen, H. C., Jacobi, C. E., Dinant, H. J., & Bos, G. A. M. v. d. (2002). Selection bias due to non-response in a health survey among patients with rheumatoid arthritis. European Journal of Public Health, 12(2), 131-135.
47. Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological methods, 7(4), 422.
48. Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological methodology, 13, 290-312.
49. Tarafdar, M., & Gordon, S. R. (2007). Understanding the influence of information systems competencies on process innovation: A resource-based view. The Journal of Strategic Information Systems, 16(4), 353-392.
50. Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach′s alpha. International journal of medical education, 2, 53.
51. Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102.

指導教授

蔡文賢(Wen-Hsien Tsai)

審核日期

2018-11-23

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