 |
|
|
|
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：35 、訪客IP：3.147.13.117
姓名 賴科源(Ko-Yuan Lai) 查詢紙本館藏 畢業系所 企業管理學系 論文名稱 ERP系統導入後投資的技術效率分析
(Technical Efficiency Analysis of Post Implementation Investment in ERP Systems)相關論文 檔案 [Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
- 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) factors that managers need to address with great care especially in today’s global
environment. Enterprises worldwide race to implement Enterprise Resource
Planning (ERP) systems to streamline business processes and increase flexibility in
the last 10 years (O’Leary, 2000). Usually, management may want to assess the
business benefits or performances of ERP systems (Shang and Seddon, 2000). In
this paper, we try to analysis the relationship of ERP continuous investment and
technical efficiency through two stages.
In the first stage, we will utilize one output-variables, gross sales, and two
input-variables, capital stock and labor expense, to measure technical efficiency
scores in BCC model in order to identify the best benchmark performers in our
sample firms who have implemented ERP. In the second stage, we will utilize the
Tobit regression to investigate the relationship between efficiency scores and ERP
continuous investment, which the concept is based on total costing ownership (TCO)
of technology assets, include percentage of IT budget spent on average annual ERP
maintaining expense, percentage of IT budget spent on average annual personal salary
of ERP maintaining staff and percentage of IT budget spent on average annual
training expense of ERP staff. On the other hand, we classify our samples by system
vendors to global and local brand to analyze the cultural impact of ERP system in
technical efficiency.
The result shows that:
1.ERP maintain expenses identified as debugging and system update whether on
line or on the scene, has a favorable impact on firm’s technical efficiency.
2. ERP personnel salary identified as back-filled staff’s salary and maintains
staff’s salary that has a favorable impact on firm’s technical efficiency.
3. ERP staff training expenses identified as the cost to provide training to ERP
specialists and end users, has no significant impact on firm’s technical efficiency.
However, we have discussed the no significant reason with ERP consultant, the reason
that the firms education system is mentoring but not consultant no matter old or new
employee.
4. The local brand of ERP systems shows higher technical efficiency in our
samples in Taiwan. The implies that a one-size-fits-all or one-business-model-
fits-all approach is unlikely to be successful. As the statistic evidence, Developers
and consultants need to adapt their products and services for different cultural
markets.摘要(英) i
Abstract
The management of information technology (IT) has become one of the key
factors that managers need to address with great care especially in today’s global
environment. Enterprises worldwide race to implement Enterprise Resource
Planning (ERP) systems to streamline business processes and increase flexibility in
the last 10 years (O’Leary, 2000). Usually, management may want to assess the
business benefits or performances of ERP systems (Shang and Seddon, 2000). In
this paper, we try to analysis the relationship of ERP continuous investment and
technical efficiency through two stages.
In the first stage, we will utilize one output-variables, gross sales, and two
input-variables, capital stock and labor expense, to measure technical efficiency
scores in BCC model in order to identify the best benchmark performers in our
sample firms who have implemented ERP. In the second stage, we will utilize the
Tobit regression to investigate the relationship between efficiency scores and ERP
continuous investment, which the concept is based on total costing ownership (TCO)
of technology assets, include percentage of IT budget spent on average annual ERP
maintaining expense, percentage of IT budget spent on average annual personal salary
of ERP maintaining staff and percentage of IT budget spent on average annual
training expense of ERP staff. On the other hand, we classify our samples by system
vendors to global and local brand to analyze the cultural impact of ERP system in
technical efficiency.
The result shows that:
1.ERP maintain expenses identified as debugging and system update whether on
line or on the scene, has a favorable impact on firm’s technical efficiency.
2. ERP personnel salary identified as back-filled staff’s salary and maintains
staff’s salary that has a favorable impact on firm’s technical efficiency.
3. ERP staff training expenses identified as the cost to provide training to ERP
specialists and end users, has no significant impact on firm’s technical efficiency.
However, we have discussed the no significant reason with ERP consultant, the reason
that the firms education system is mentoring but not consultant no matter old or new
employee.
4. The local brand of ERP systems shows higher technical efficiency in our
samples in Taiwan. The implies that a one-size-fits-all or one-business-model-
fits-all approach is unlikely to be successful. As the statistic evidence, Developers
and consultants need to adapt their products and services for different cultural
markets.關鍵字(中) ★ Tobit-regression
★ 技術效率
★ 企業資源規劃關鍵字(英) ★ Tobit-regression
★ technical efficiency
★ enterprise resource planning (ERP)論文目次 CONTENTS
Abstract.........................................................................................................................i
TABLE OF CONTENTS............................................................................................iii
LIST OF FIGURES ....................................................................................................iv
LIST OF TABLES........................................................................................................v
CHAPTER 1 INTRODUCTION................................................................................1
CHAPTER 2 LITERATURE REVIEW....................................................................4
2.1 Theory of DEA.................................................................................................4
2.1.1 CCR model....................................................................................................5
2.1.2 BCC model....................................................................................................7
2.2 Technical and Allocative Efficiency ................................................................9
2.3 Data envelopment analysis in IT area............................................................10
2.4 Overview of ERP ...........................................................................................11
2.5 ERP measurement ..........................................................................................12
CHAPTER 3 METHODOLOGIES .........................................................................13
3.1 Research methodology and hypothesis..........................................................13
3.2 Data description .............................................................................................17
CHAPTER 4 RESULTS AND DISCUSSIONS.......................................................20
4.1 Result of first stage ........................................................................................20
4.2 Result of second stage ....................................................................................21
4.3 Discussions ....................................................................................................23
CHAPTER 5 CONCLUSION...................................................................................25
Reference.....................................................................................................................26
Appendix .....................................................................................................................31參考文獻 26
Reference
1. Alpar, P. and Kim, M., 1990, “A microeconomic approach to the measurement of
information technology value,” Journal of Management Information System,
vol.7 no.2, pp.55–69.
2. Banker, R. D., Charnes, A., and Cooper, W.W., 1984, “Some models for
estimating technical and scale inefficiencies in data envelopment analysis,”
Management Science, 30(9), pp.1078-1092.
3. Banker, R.D., Kauffman, R.J., and Morey, R.C., 1990, “Measuring Gains in
Operational Efficiency from Information Technology: A Study of the Positran
Deployment at Hardee’s Inc.,” Journal of Management Information system, 7(2),
pp.29-54.
4. Benchmarking Partners Inc., 1998, “Ten ‘Go Live’ Surprises”, Findings from a
Post- Implementation Research Study of 62 Companies, MA USA.
5. Charnes, A., Cooper W. W., and Rhodes E., 1978, "Measuring Efficiency of
Decision-Making Units," European Journal of Operational Research, 2(6),
428-449.
6. Cooper, W.W., Seiford, L.M., and Tone, K., 2000, Data Envelopment Analysis-A
Comprehensive Text with Models, Applications, References and DEA-Solver
Software, Kluwer Academic Publishers, 2nd edition.
7. Cotteller, M., Austin, R., and Nolan, R., 1998, “Cisco Systems, Inc: Implementing
ERP,” Harvard Business School case report no. 9-699-022, Boston.
8. Crimson Consulting Group, 2002, “Total Cost of Ownership Case Study:
Enterprise Performance/Reporting System,” CA USA.
9. Davenport, T.H., 2000, Mission Critical: Realizing the Promise of Enterprise
Systems, Harvard Business School Press, Boston.
10. Davison, R., 2002, “Cultural Complications of ERP,” Communications of the
ACM, 45 (7), pp.109-111.
11. Deloitte Consulting LLC., 1999, “Deloitte Consulting’s Perspective: Making ERP
27
Spell ROI”, ERP’s SECOND WAVE: Maximizing the Value of ERP-Enabled
Processes, pp. 17-23.
12. Doyle, J. and Green, R., 1994, “Strategic Choice and Data Envelopment Analysis:
Comparing Computers across Many Attributes,” Journal of information
technology, 9(1), pp.61-69.
13. Esteves, J.M. and Pastor, J.A., 1999, “An ERP Life-cycle-based Research
Agenda”, First International Workshop in Enterprise Management and Resource
Planning: Methods, Tools and Architectures (EMRPS’99), Venice, Italy.
14. Farrell, M.J., 1957, “The Measurement of Productive Efficiency,” Journal of the
Royal Statistical Society, 120, p. 254.
15. Fisher, D.M., and Sun D.B., 1996, “LAN-based E-mail: software Evaluation,”
Journal of Computer Information Systems, 36(1), pp.21-25.
16. Gibson, N., Holland, C., and Light, B., 1990, “A case study of a fast track SAP
R/3 implementation at Guilbert,” International Journal of Electronic Markets,
9(3), pp.190-193.
17. Hitt, L.M., Wu, D.J. and Zhou, X., 2002, “Investment in Enterprise Resource
Planning: Business Impact and Productivity Measures”, Journal of Management
Information Systems, 19(1), pp. 71-98.
18. Hirt, S.G. and Swanson, E.B., 1999, “Maintaining ERP: Rethinking Relational
Foundations”, Information Systems Working Paper 02-99, The Anderson School
at UCLA.
19. Lee, C.S., 2001, “Modeling the business value of information technology,”
Information and Management 39, 191-210.
20. Laughlin, S., 1999, “An ERP game plan,” Journal of Business Strategy, 20(1),
pp.32.
21. Mahmood, M.A. and Mann, G.J., 1993, “Measuring the Organizational Impact of
Information Technology Investment: An Exploratory Study”, Journal of
Management Information Systems, 10(1), pp. 97-122.
22. McAfee, A., 1999, “The impact of enterprise resource planning systems on
28
company performance,” Paper presented at Wharton electronic Supply Chain
Conference, Philadelphia.
23. McCarty, T.A., and Yaisawarng, S., Technical efficiency in New Jersey school
districts, in: H.O. Fried, C.A.K. Lovell, S.S. Schmidt(Eds.), 1993, “The
Measurement of Productive Efficiency: Techniques and Applications,” Oxford
University Press, New York, pp.97-122
24. Minahan, T., 1998, “Enterprise resource planning: strategies not included,”
Purchasing, 125(1), pp.112-127.
25. Mitra, S., and Chaya, A.K., 1996, “Analyzing Cost-Effectiveness of
Organizations: The Impact of Information Technology Spending,” Journal of
Management Information Systems, 13(2), pp.29-57.
26. Mukhopadhyay, T. and Cooper, R.B., 1993, “A microeconomic production
assessment of the business value of management information systems: The case
of inventory control,” Journal of Management Information Systems, 10(1),
pp.33-55.
27. O’Leary, D.E., 2000, Enterprise Resource Planning Systems: Systems, Life
Cycle, Electronic Commerce, and Risk, Cambridge University Press, 1st edition
(January 15, 2000).
28. Peña-Mora, F., and Tanaka, S., 2002, “Information Technology Planning
Framework for Japanese General Contractors,” Journal of Management in
Engineering, pp.138-149.
29. Radosevich, L., 1998, “Bankrupt drug company sues SAP,” Information World,
available at www.infoword.com
30. Ranker R.D., and Kemerer, C.F., 1989, “Scale Economies in New Software
Development,” IEEE trans. Software Eng., 15(10), pp.1199-1205.
31. Rosemann, M. and Wiese, J., 1999, “Measuring the performance of ERP
Software-a Balanced Scorecard Approach,” Proc. 10th Australasian Conference
on Information Systems pp.773-784
32. Robert, D, 2002, “Cultural Complications of ERP,” Communications of the ACM,
29
45(7), pp.109-111.
33. Ross, J. W., 1999, “Surprising Facts About Implementing ERP,” IT Professional,
1(4), pp. 65-68.
34. Santos, B.L.D., 1991, “Justifying Investment in New information Technologies,”
Journal of Management Information Systems 7(4), pp.71-90.
35. Shao, B.B.M., and Lin, W.T., 2000, “Examining the Determinants of Productive
efficiency with IT as a Production Factor,” Journal of Computer Information
Systems, 41(1), pp.25-30.
36. Shao, B.B.M., and Lin, W.T., 2002, “Technical efficiency analysis of information
technology investments: a two-stage empirical investigation,” Information &
Management, 39, pp.391-401.
37. Shang, S., and Seddon, P.B., 2000, “A Comprehensive Framework for Classifying
the Benefits of ERP Systems,” Americas Conference on Information Systems
2000.
38. Slater D., 1999, “What is ERP?,” CIO, 12(15), pp.86.
39. Sophie Lee C., 2001, “Modeling the business value of information technology,”
Information and Management 39, pp.191-210.
40. Stensrud, E., and Myrtveit, I., 2002, “Identifying High Performance ERP
Projects,” Discussion Paper 4/2002 (ISSN: 0807-3406), Norwegian School of
Management BI.
41. Shang, S. and Seddon, P.B., 2000, “A Comprehensive Framework for Classifying
the Benefits of ERP Systems,” Americas Conference on Information Systems
2000.
42. Somers, T.M., and Nelson, K., 2001, “The impact of Critical success factors
across the Stages of Enterprise Resource Planning implementations,” IEEE,
Proceedings of the 34th Hawaii International Conference on System Sciences
2001.
43. Swartz, D., and Orgill, K., 2001, “Lessons Higher Education ERP: Using this
framework for ERP could save your university millions of dollars,” Educause
Quarterly, November 2, pp.20-27.
44. Thore S., Phillips F., Ruefli T.W., and Yue P., 1996, “DEA and the Management of
the Product Cycle: the U.S. Computer Industry,” Computers & Operation
research, 23(4), pp.341-356.
45. United Nations Economic and Social Commission For Asia and Pacific
(UNESCAP) (2000), Evaluation of Infrastructural Interventions for Rural Poverty
Alleviation, United Nation Report, p.99. (Source:
http://www.unescap.org/tctd/pubs/ruralpovertytoc.htm指導教授 許秉瑜(Ping-yu Hsu) 審核日期 2003-6-24 推文 plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
網路書籤 Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit