Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies

Identifying factors defining the effectiveness of integrated

AIS in the Enterprise Resource Planning (ERP) environment is

really a challenging task. In our research, the effectiveness of

integrated AIS in ERP is presented in the form of a Balanced

Scorecard (BSC) model. This study analyzes data collected from

178 Vietnamese garment companies with AIS in an ERP

environment. Then, Cronbach’s Alpha test and Exploratory

Factor Analysis (EFA) are conducted to assess the reliability of

variables. The result identifies 28 variables from Vietnamese

garment companies’ managers view grouped into 4-dimensional

constructs of the BSC model that define the effectiveness of

integrated AIS in an ERP environment. The conclusion on

garment companies’ AIS evaluation factors paves the way for

future research on other Vietnamese industries’ AIS evaluation

in an ERP environment.

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 1

Trang 1

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 2

Trang 2

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 3

Trang 3

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 4

Trang 4

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 5

Trang 5

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 6

Trang 6

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 7

Trang 7

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 8

Trang 8

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 9

Trang 9

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies trang 10

Trang 10

Tải về để xem bản đầy đủ

pdf 19 trang xuanhieu 3960
Bạn đang xem 10 trang mẫu của tài liệu "Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies", để tải tài liệu gốc về máy hãy click vào nút Download ở trên

Tóm tắt nội dung tài liệu: Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies

Evaluating the effectiveness of integrated accounting information Systems (AIS) in ERP environment of Vietnamese garment companies
the business 
sector in the market 
21.1262 7.353 0.608 
LEA4 
Encourage staff to actively solve 
problems 
21.2393 7.485 0.594 
LEA5 Allow employees to work independently 21.0436 7.658 0.592 
LEA6 Support coordination among departments 21.0656 7.021 0.702 
LEA7 
Facilitate businesses to work with each 
other 
20.8754 7.913 0.624 
Source: Data analysis result of the research 
4.2.2. Exploratory Factor Analysis (EFA) 
After Cronbach’s Alpha test, 30 observational variables were retained for further 
analysis of the EFA process. During the first EFA running, Minimize labor costs variable and 
Support for introducing new services variable presenting small load factors, respectively 0.389 
and 0.378, were eliminated. The second EFA analysis outcome shows that the observational 
variables focused on 4 research constructs with the KMO = 0.827, which is satisfactory (Hair 
et al., 2005) (Table 8). 
Cronbach's Alpha No. of variables 
0.837 7 
30 Vu Quoc Thong. Journal of Science Ho Chi Minh City Open University, 9(1), 17-35 
Table 8 
Result of the EFA factor analysis 
No. Variables 
Research constructs 
Finance Customer 
Business 
Process 
Learning 
and 
Growth 
01 FIN1 Increase business profits 0.833 
02 FIN2 Increase Return on Equity (ROE) 0.812 
03 FIN3 Increase sales revenue 0.775 
04 FIN4 Minimize operating costs 0.754 
05 FIN5 Increase Return on Investment (ROI) 0.747 
06 FIN6 Increase Return on Assets (ROA) 0.722 
07 CUS1 Support order delivery 0.801 
 Create better transaction value for 
08 CUS2 customers 0.793 
 Support interactive services with 
09 CUS3 customers 0.785 
10 CUS4 Improve customer satisfaction 0.742 
11 CUS5 Establish relationships with customers 0.708 
12 CUS6 Improve the quality of customer service 0.694 
13 BUS1 Improve productivity 0.812 
14 BUS2 Restructure the working process 0.803 
15 BUS3 Make changes in the working process 0.774 
16 BUS4 Improve the quality of decision making 0.762 
17 BUS5 Provide better production management 0.751 
 Vu Quoc Thong. Journal of Science Ho Chi Minh City Open University, 9(1), 17-35 31 
No. Variables 
Research constructs 
Finance Customer 
Business 
Process 
Learning 
and 
Growth 
18 BUS6 Support inventory management 0.738 
19 BUS7 Improve management productivity 0.722 
20 BUS8 Assist in working with suppliers 0.667 
21 BUS9 Support for better control 0.657 
22 LEA1 Improve employee motivation 0.802 
 Allow support services to be shared by all 
23 LEA2 levels in businesses 0.797 
 Support the development of the business 
24 LEA3 sector in the market 0.705 
 Encourage staff to actively solve 
25 LEA4 problems 0.694 
26 LEA5 Allow employees to work independently 0.656 
27 LEA6 Support coordination among departments 0.649 
 Facilitate businesses to work with each 
28 LEA7 other 0.573 
Rotation: Promax with Kaiser Normalization; General variance deduction: 54.722 
Bartlett test <0.05; KMO index = 0.827 
Source: Data analysis result of the research 
By EFA analysis, the author retains 28 variables grouped by 4 research constructs of the 
BSC model (Figure 8). These are significant observation variables for evaluating the 
effectiveness of integrated AIS in ERP environments of Vietnamese garment companies from 
managers’ viewpoint. 
5. Conclusions and future research 
Focusing on the evaluation of integrated AIS in an ERP environment from the 
managers’ viewpoint, this paper proposes a research model based on the BSC theory. The 
32 Vu Quoc Thong. Journal of Science Ho Chi Minh City Open University, 9(1), 17-35 
author (1) examine the status of assessing the effectiveness of integrated AIS in the ERP 
environment in Vietnamese garment companies and (2) identify the factors that determine the 
effectiveness of AIS in the ERP environment in such companies from managers’ view. The 
author studied to develop and test scales of four (04) BSC research constructs to determine the 
effectiveness of integrated AIS in ERP environments in Vietnamese garment companies. 
The results of the study presented the evaluation status of the effectiveness of integrated 
ERP-AIS in Vietnamese garment companies. Furthermore, based on the BSC theory model 
with four research constructs, the author has published 28 significant factors for assessing the 
effectiveness of integrated AIS in the ERP environment in Vietnamese garment companies from 
managers’ viewpoint (Figure 8). Hopefully, the initial results of this paper would become a 
reliable reference for future research in the field of integrated AIS in an ERP environment in 
Vietnam in the garment and other industries as well. In addition, more research must be done 
on the evaluation of integrated AIS’s effectiveness from the perspective of other stakeholders 
including AIS academic researchers, ERP-AIS solution providers and so on. 
References 
Ballantine, J. A., Galliers, R. D., & Stray, S. J. (1996). Information systems/technology 
evaluation practices: Evidence from UK organizations. Journal of Information 
Technology, 11(2), 129-141. doi:10.1177/026839629601100204 
Bhagwat, R., & Sharma, M. K. (2007). Performance measurement of supply chain 
management: A balanced scorecard approach. Journal of Computers and Industrial 
Engineering, 53(1), 43-62. doi:10.1016/j.cie.2007.04.001 
Blundell, B., Sayers, H., & Shanahan, Y. (2003). The adoption and use of the Balance Scorecard 
in New Zealand: A survey of the top 40 companies. Journal of Pacific Accounting 
Review, 15(1), 49-74. doi:10.1108/eb037971 
Bryant, L., Jones, D. A., & Widener, S. K. (2004). Managing value creation within the firm: 
An examination of multiple performance measures. Journal of Management Accounting 
Research, 16(1), 107-131. doi:10.2308/jmar.2004.16.1.107 
Carr, N. G. (2003). IT doesn’t matter. Harvard Business Review Journal, 81(5), 41-49. 
Chanopas, A., Krairit, D., & Khang, D. B. (2006). Managing information technology 
infrastructure: A new flexibility framework. Management Research News, 29(10), 632-
651. doi:10.1108/01409170610712335 
Chen, L., & Mohamed, S. (2008). Contribution of knowledge management activities to 
organizational business performance. Journal of Engineering, Design and Technology, 
6(3), 269-285. doi:10.1108/17260530810918289 
Chia, A., Goh, M., & Hum, S.-H. (2009). Performance measurement in supply chain entities: 
Balanced scorecard perspective. Benchmarking: An International Journal, 16(5), 605-
620. doi:10.1108/14635770910987832 
Chriyha, A., Beidouri, Z., & Bouksour, O. (2012). Proposal of a performance model based on 
the Balance Scorecard for the Moroccan textile industry. The International Journal of 
Computer Science Issues, 9(5), 410-417. 
 Vu Quoc Thong. Journal of Science Ho Chi Minh City Open University, 9(1), 17-35 33 
Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing 
constructs. Journal of Marketing Research, 16(1), 64-73. doi:10.2307/3150876 
Coyne, J. G., Coyne, E. M., & Walker, K. B. (2017). Accountant and tech: A game changer? 
Strategic Finance Journal, 98(9), 40-47. 
Dao, V. T. (2002). Organizing public accounting system under computerized condition 
(Doctoral dissertation). Vietnamese Financial Institution, Vietnam. 
Dunn, S. C., Seaker, R. F., & Waller, M. A. (1994). Latent variables in business logistics 
research: Scale development and validation. Journal of Business Logistics, 15(2), 145-
172. 
Farbey, B., Land, F., & Targett, D. (1992). Evaluating investments in IT. Journal of Information 
Technology, 7(2), 109-122. doi:10.1057/jit.1992.16 
Felice, F., D., & Petrillo, A. (2013). Key success for organizational innovation in the fashion 
industry. International Journal of Engineering Business Management, 5(1), 27-36. 
doi:10.5772/56882 
Gimžauskienė, E., & Klovienė, L. (2014). Development of accounting system according to an 
information technology. Review of Economic Studies and Research, 7(2), 59-74. 
Greenspan, A. (2000). Technology innovation and its economic impact. A speech before the 
National Technology Forum, St. Louis, Missouri via teleconference. Retrieved October 
3, 2018, from Federal Reserve Board of Governors, Washington, D.C. website: 
https://www.federalreserve.gov/boarddocs/speeches/2000/20000407.htm 
Grembergen, W. V., & Haes, S. D. (2005). Measuring and improving IT governance through 
the balanced scorecard. Information Systems Control Journal, 2(1), 1-8. 
Grembergen, W. V., & Haes, S. D. (2017). Introduction to IT governance and its mechanisms 
minitrack. Paper presented at Proceedings of the 50th Hawaii International Conference 
on System Sciences, USA. 
Hackman, D., Gundergan, S. P., Wang, P., & Daniel, K. (2006). A service perspective on 
modeling intentions of on-line purchasing. Journal of Services Marketing, 20(7), 459-
470. doi:10.1108/08876040610704892 
Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2005). Multivariate data 
analysis (6th ed.). Upper Saddle River, NJ: Pearson Education. 
Hitt, M. A. (1988). The measuring of organizational effectiveness: Multiple domains and 
constituencies. Management International Review, 28(2), 28-40. doi:10.2307/40227880 
Hoque, Z., & Wendy, J. (2000). Linking Balance Scorecard measures to size and market factors: 
Impact on organization performance. Journal of Management Accounting Research, 
12(3), 1-17. doi:10.2308/jmar.2000.12.1.1 
Huang, L. (2008). Strategic orientation and performance measurement model in Taiwan’s travel 
agencies. Service Industries Journal, 28(10), 1357-1383. 
doi:10.1080/02642060802250179 
Huang, S. M., Lee, C.-L., & Kao, A.-C. (2006). Balancing performance measures for 
information security management: A balanced scorecard framework. Industrial 
34 Vu Quoc Thong. Journal of Science Ho Chi Minh City Open University, 9(1), 17-35 
Management and Data Systems Journal, 106(2), 242-255. 
doi:10.1108/02635570610649880 
Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard - Measures that drive 
performance. Harvard Business Review, 70(1), 71-79. Retrieved October 15, 2018, from 
https://www.researchgate.net/publication/13177691_The_Balance_Scorecard-
Measures_That_Drive_Performance 
Lee, J., Kao, H.-A., & Yang, S. (2014). Service Innovation and Smart Analytics for Industry 
4.0 and Big Data Environment. The 6th CIRP Conference on Industrial Product-Service 
Systems, Procardia CIRP, 16, 3-8. doi:10.1016/j.procir.2014.02.001 
Lin, C., & Pervan, G. (2003). The practice of IS/IT benefits management in large Australian 
organizations. Information and Management Journal, 41(1), 13-24. doi:10.1016/S0378-
7206(03)00002-8 
Luftman, J., & Brier, T. (1999). Achieving and sustaining business-IT alignment. California 
Management Review, 42(1), 109-122. doi:10.2307/41166021 
MacKenzie, S. B., Podsakoff, P. M., & Jarvis, C. B. (2005). The problem of measurement 
model misspecification in behavioral and organisational research and some recommended 
solutions. Journal of Applied Psychology, 90(4), 710-730. doi:10.1037/0021-
9010.90.4.710 
Maqbool, M. H. (2015). A consolidated model of putting BSC into action textile industry in 
Pakistan. Science and Technology Journal, 6(2), 14-22. 
Nguyen, B. L. (2013). Identifying and controlling the accounting information quality in ERP-
applied environment in Vietnamese enterprises (Unpublished doctoral dissertation). 
University of Economics Ho Chi Minh City, Vietnam. 
Nguyen, D. H. (2011). Organizing accounting information systems under IT-applied conditions 
in Vietnamese import-export enterprises (Unpublished doctoral dissertation). National 
Economics University, Vietnam. 
Nguyen, D. T. (2013). Giáo trình phương pháp nghiên cứu khoa học trong kinh doanh – Tập 2 
[Research methodology in business textbook (2nd ed.)]. University of Economics Ho Chi 
Minh City: NXB Tài chính. 
Nguyen, H. D. (2012). Improving accounting information systems for Vietnamese public 
universities (Unpublished doctoral dissertation). National Economics University, 
Vietnam. 
Palvia, P. C., Perkins, J. A., & Zeltmann, S. M. (1992). The PRISM system: A key to 
organizational effectiveness at Federal Express Corporation. MIS Quarterly, 16(3), 277-
292. doi:10.2307/249529 
Park, J. H., Lee, J. K., & Yoo, J. S. (2005). A framework for designing the balanced supply 
chain scorecard. European Journal of Information Systems, 14(4), 335-346. 
doi:10.1057/palgrave.ejis.3000544 
Petter, S., DeLone, W., & McLean, E. R. (2012). The past, present, and future of “IS Success”. 
Journal of the Association for Information Systems, 13(5), 341-362. 
doi:10.17705/1jais.00296 
 Vu Quoc Thong. Journal of Science Ho Chi Minh City Open University, 9(1), 17-35 35 
Santhanam, R., & Hartono, E. (2003). Issues in linking information technology capability to 
firm performance. MIS Quarterly, 27(1), 125-153. doi:10.2307/30036521 
Seddon, P. B., Graeser, V., & Willcocks, L. P. (2002). Measuring organizational IS 
effectiveness: An overview and update of senior management perspectives. Database for 
Advances in Information Systems Journal, 33(2), 11-28. doi:10.1145/513264.513270 
Silk, J. (1998). Caring at a distance. Journal of Philosophy and Geography, 1(2), 165-182. 
doi:10.1080/1366879X.1998.11644226 
Sohal, A. S., & Ng, L. (1998). The role and impact of information technology in Australian 
business. Journal of Information Technology, 13(3), 201-217. 
doi:10.1080/026839698344846 
Suanmali, S., Karabay, G., & Kurumer, G. (2011). A study of business performance through 
Key Performance Indicators (KPIs) in Thai garment industry. Paper presented at the 5th 
International Congress on Logistics and SCM systems, Seoul, Korea, 2011. 
Sundin, L., Hochwälder, J., & Bildt, C. (2008). A scale for measuring specific job demands 
within the health care sector: Development and psychometric assessment. International 
Journal of Nursing Studies, 45(6), 914-923. doi:10.1016/j.ijnurstu.2007.03.006 
Taipaleenmäki, J., & Ikaheimo, S. (2013). On the convergence of management accounting and 
financial accounting - The role of information technology in accounting change. 
International Journal of Accounting Systems,14(4), 321-348. 
Tran, P. (2007). Solutions for improving the quality of accounting software usage in Vietnamese 
enterprises (Unpublished doctoral dissertation). University of Economics Ho Chi Minh 
City, Vietnam. 
Velcu, O. (2007). Exploring the effects of ERP systems on organizational performance: 
Evidence from finnish companies. Industrial Management and Data Systems Journal, 
107(9), 1316-1334. doi:10.1108/02635570710833983 
VIRAC Vietnam. (2018). Báo cáo tiêu chuẩn ngành dệt may Việt Nam [Report on Vietnam's 
garment industry standards]. Retrieved October 15, 2018, from 
ttp://viracresearch.com/industry/bao-cao-tieu-chuan-nganh-det-may-viet-nam-q22018. 

File đính kèm:

  • pdfevaluating_the_effectiveness_of_integrated_accounting_inform.pdf