ISSN: 2225-8329
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This article discusses the development of a survey instrument used to study asset misappropriation (AM) in the Malaysian public sector. The paper provides a detailed explanation of the procedures involved in performing the Exploratory Factor Analysis (EFA) to the survey questionnaire for the purpose of confirming the validity and reliability of the instrument. The research differs from prior studies in that it employs Enterprise Risk Management (ERM) as a moderator in assessing the relationship between fraud risk factors and AM. A cross-sectional study was utilised and data was collected using a proportional stratified sampling. A total of 104 questionnaires were distributed to public sector employees of the Accountant General's Department of Malaysia. The respondents represent the top management, professional and managers of the department. Each construct is represented by six to ten items, chosen from related studies. Cronbach’s Alpha was calculated to verify the internal validity and reliability of the instrument. The results confirm that the survey questionnaire was appropriate for the intended purpose. The findings of this study benefit future research related to asset misappropriation in the public sector.
Abdullahi, R., & Mansor, N. (2018). Fraud prevention initiatives in the Nigerian public sector. Journal of Financial Crime, 25(2), 527-544. https://doi.org/10.1108/JFC-02-2015-0008
Alkhawaja, M. I., Sobihah, M., & Awang, Z. (2020). Exploring and developing an instrument for measuring system quality construct in the context of e-learning. International Journal of Academic Research in Business and Social Sciences, 1(11), 403-413. https://doi.org/10.6007/ijarbss/v10-i11/7953
Altman, D. G., & Bland, J. M. (1995). Statistics notes: Absence of evidence is not evidence of absence. Bmj, 311(7003), 485.
ACFE. (2020). Report to The Nations: On Occupational Fraud and Abuse. Available at https://acfe.com (accessed 5 June 2020).
Awang, Z. (2012). Research methodology and data analysis second edition. UiTM Press.
Bahkia, A. S., Awang, Z., Afthanorhan, A., Ghazali, P. L., & Foziah, H. (2019, August). Exploratory factor analysis on occupational stress in context of Malaysian sewerage operations. In AIP Conference Proceedings (Vol. 2138, No. 1, p. 050006). AIP Publishing LLC. https://doi.org/10.1063/1.5121111
Baistaman, J., Awang, Z., Afthanorhan, A., & Abdul Rahim, Z. M. (2020). Developing and validating the measurement model for financial literacy construct using confirmatory factor analysis. Humanities & Social Sciences Reviews, 8(2), 413–422. https://doi.org/10.18510/hssr.2020.8247
Bartlett, J. E., Kotrlik, J. W., and Higgins, C. C. (2001) Organizational Research: Determining Appropriate Sample Size in Survey Research. Information Technology, Learning, and Performance Journal, 19, 43-50.
Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices. University of South Florida.
Cressey, D. R. (1953). Other people's money; a study of the social psychology of embezzlement.
Dehisat, M. M., & Awang, Z. (2020). Exploring items and developing instrument for measuring organizational performance among small medium enterprises in Jordan. International Review of Management and Marketing, 10(6), 51.
https://doi.org/10.32479/irmm.10531
Ehido, A., Awang, Z., Abdul Halim, B., & Ibeabuchi, C. (2020). Developing items for measuring quality of work life among Malaysian academics: an exploratory factor analysis procedure. Humanities & Social Sciences Reviews, 8(3), 1295–1309.
https://doi.org/10.18510/hssr.2020.83132
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis: A global perspective (6th Edition). Upper Saddle Rider: Pearson Education.
Howarth, C. (2011). The Mind Behind the Fraudsters Crime: Key Behavioral and Environmental Elements. Crowe Horwath LLP, 1–62.
Johanson, G. A., & Brooks, G. P. (2010). Initial scale development: sample size for pilot studies. Educational and psychological measurement, 70(3), 394-400.
Kazemian, S., Said, J., Nia, E. H., & Vakilifard, H. (2019). Examining fraud risk factors on asset misappropriation: evidence from the Iranian banking industry. Journal of Financial Crime. https://doi.org/https://doi.org/10.1108/ JFC-01-2018-0008
Koomson, T. A. A., Owusu, G. M. Y., Bekoe, R. A., & Oquaye, M. (2020). Determinants of asset misappropriation at the workplace: the moderating role of perceived strength of internal controls. Journal of Financial Crime, 27(4), 1191–1211. https://doi.org/10.1108/jfc-04-2020-0067
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.
Malhotra, N. K. (2009). Basic Marketing Research: A Decision-Making Approach (3rd).
Pallant, J. F., Haines, H. M., Green, P., Toohill, J., Gamble, J., Creedy, D. K., & Fenwick, J. (2016). Assessment of the dimensionality of the Wijma delivery expectancy/experience questionnaire using factor analysis and Rasch analysis. BMC pregnancy and childbirth, 16(1), 1-11.
Pamungkas, I. D., Ghozali, I., & Achmad, T. (2018). A pilot study of corporate governance and accounting fraud: The fraud diamond model. Journal of Business & Retail Management Research, 12(02).
https://doi.org/10.24052/jbrmr/v12is02/apsocgaaftfdm
Perneger, T. V., Courvoisier, D. S., Hudelson, P. M., & Gayet-Ageron, A. (2015). Sample size for pre-tests of questionnaires. Quality of life Research, 24(1), 147-151.
Pricewaterhouse Coopers. (2018). Global Economic Crime and Fraud Survey 2018 (Malaysia Report). https://www.pwc.com/gx/en/forensics/global-economic-crime-and-fraud-survey-2018.pdf
Ruscio, J., & Roche, B. (2012). Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure. Psychological Assessment, 24(2), 282–292. https://doi.org/10.1037/a0025697
Sawaka, K. I. G. N. H., & Ramantha, I. W. (2020). Fraud pentagon theory in detecting financial perception of financial reporting with good corporate governance as moderator variable. International Research Journal of Management, IT and Social Sciences, 7(1), 84-94. https://doi.org/10.21744/irjmis.v7n1.824
Abdul Gani, s. A., Salim, B., & Udin, M. N. (2020b). The Implementation of Risk Management in Malaysian Public Sector to Sustain Federal Government’s Revenue. International Journal of Accounting, Finance and Risk Management, 5(2), 76–83. https://doi.org/10.11648/j.ijafrm.20200502.12
Shukla, P. (2008). Essentials of Marketing Research [E-book]. Ventus Publishing ApS. https://library.ku.ac.ke/wpcontent/downloads/2011/08/Bookboon/Marketing/marketing-research-an-introduction.pdf
Suh, J. B., Nicolaides, R., & Trafford, R. (2019). The effects of reducing opportunity and fraud risk factors on the occurrence of occupational fraud in financial institutions. International Journal of Law, Crime and Justice, 56, 79–88. https://doi.org/10.1016/j.ijlcj.2019.01.002
Tabachnick, B. G., Fidell, L. S. (2007), Using Multivariate Statistics. 5th ed. Boston, MA: Allyn & Bacon/Pearson Education.
Tasmin, R., Muazu, M. H., Nor Aziati, A. H., & Zohadi, N. L. (2020). The mediating effect of enterprise risk management implementation on operational excellence in the Malaysian oil and gas sector: a conceptual framework. Future Business Journal, 6(1). https://doi.org/10.1186/s43093-020-00011-2
Viechtbauer, W., Smits, L., Kotz, D., Budé, L., Spigt, M., Serroyen, J., & Crutzen, R. (2015). A simple formula for the calculation of sample size in pilot studies. Journal of Clinical Epidemiology, 68(11), 1375–1379. https://doi.org/10.1016/j.jclinepi.2015.04.014
Wolfe, D. T., Hermanson, D. R. (2004). The fraud diamond: Considering the four elements of fraud. The CPA Journal, 74(12): 38-42.
Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business research methods. Cengage learning.
In-Text Citation: (Dani et al., 2022)
To Cite this Article: Dani, R. M., Mansor, N., & Noor, N. R. A. M. (2022). Developing a Survey Instrument to Study Asset Misappropriation in the Malaysian Public Sector. International Journal of Academic Research in Accounting Finance and Management Sciences, 12(2), 106–131.
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