Factors Affecting Information Quality in the Malaysian Public Sector
Information is an important asset that can determine the success or failure of an organization. Hence, the quality of information should not be compromised, instead, it should be an organization's priority. Information should be managed efficiently and effectively to ensure its availability whenever needed, especially for making decisions. Without information quality management, an organization may be seemed unaccountable, holds no integrity, not transparent and competent, thus affecting performance. Most organizations do not implement information quality management because the factors that affect the quality of information are not identified. This study aims to identify the relationship between selected factors and the quality of information. The quantitative data were collected through questionnaire surveys distributed to public organizations (federal public services, state public services, federal statutory bodies, state statutory bodies, and local authorities) throughout Malaysia as the unit of analysis. Questionnaires were distributed from May to September 2017 and involved 273 respondents. Pearson’s product–moment correlation coefficient was utilized to analyze the relationship between the factors and information quality. The findings reveal that most of the factors have a high level of correlation. The analysis shows that public organizations need to prioritize the factors focused in this study, especially those identified with a high level of correlation, to optimize information quality. The findings can be a guide for developing policies, strategies, or programmes related to information quality management in organizational decision-making and performance enhancement, thus highlighting and empowering information quality management in public organizations.
S. Baškarada and A. Koronios, “Critical Success Factor Framework for Information Quality Management,” Information Systems Management, Vol. 31(4), pp. 276–295, 2014.
H. Xu, “What are the most important factors for accounting information quality and their impact on AIS data quality outcomes?,” ACM Journal of Data and Information Quality, Vol. 5(4), pp. 1–22, 2015.
S. Baškarada, Information quality management capability maturity model, Wiesbaden, Germany: Vieweg+Teubner, 2009.
J. E. Tyler, "Asset management the track towards quality documentation,” Records Management Journal, Vol. 27(3), pp. 302–317, 2017.
H. Alenezi, A. Tarhini, and S. K. Sharma, "Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits," Transforming Government: People, Process and Policy, Vol. 9(3), pp. 324–351, 2015.
M. Y. Zawiyah, Pengurusan Rekod dan Maklumat: Isu dan Cabaran, Bangi, Malaysia: Penerbit Universiti Kebangsaan Malaysia, 2015.
J. Michnik and M. C. Lo, “The assessment of the information quality with the aid of multiple criteria analysis,” European Journal of Operational Research, Vol. 195(3), pp. 850–856, 2009.
L. P. English, Information Quality Applied: Best Practices for Improving Business Information, Processes and Systems, Indianapolis: Wiley Publishing, 2009.
M. Mukred, and M. Y. Zawiyah, “The DeLone–McLean Information System Success Model for Electronic Records Management System Adoption in Higher Professional Education Institutions of Yemen,” in International Conference of Reliable Information and Communication Technology IRICT 2017: Recent Trends in Information and Communication Technology, 2017. pp. 812–823.
T. Jylhä and M. E. Suvanto, "Impacts of poor quality of information in the facility management field," Facilities, Vol. 33(5/6), pp. 302–319, 2015.
M. S. S. Abumandil and Shahizan Hassan, “Information Quality and Decision-making Effectiveness: A Study of Banks in Palestine” International Review of Management and Marketing, Vol. 6(S7), pp. 127–132. 2016.
C. Shi, R. Jugulum, H. I. Joyce, J. Singh, B. Granese, R. Ramachandran, D. Gray, C. H. Heien, and J. R. Talburt, "Improving financial services data quality – a financial company practice", International Journal of Lean Six Sigma, Vol. 6(2) pp. 98–110, 2015.
M. Ge, “Information quality assessment and effects on inventory decision-making,” Ph.D thesis, Dublin City University, Sept. 2009.
R. Y. Wang and D. M. Strong, “Beyond accuracy: What data quality means to data consumers,” Journal of Management Information Systems, Vol. 12(4), pp. 5–34, 1996.
J. C. Pinho, “TQM and Performance in Small Medium Enterprises: The Mediating Effect of Customer Orientation and Innovation,” Journal of Quality and Reliability Management, Vol. 25(3), pp. 256–275, 2008.
D. Carnerud, "25 years of quality management research – outlines and trends," International Journal of Quality & Reliability Management, Vol. 35(1), pp. 208–231, 2018.
A. M. Mosadeghrad, “Developing and validating a total quality management model for healthcare organisations,” The TQM Journal, Vol 27(5), pp. 544–56, 2015.
E. L. Psomas and C. Jaca, "The impact of total quality management on service company performance: evidence from Spain," International Journal of Quality & Reliability Management, Vol. 33(3), pp.380–398, 2016.
G. Mehralian, J. A Nazari, H. R. Rasekh, and S. Hosseini, "TOPSIS approach to prioritize critical success factors of TQM: Evidence from the pharmaceutical industry," The TQM Journal, Vol. 28(2), pp.235–249, 2016.
V. Kumar and R. R. K. Sharma, "An empirical investigation of critical success factors influencing the successful TQM implementation for firms with different strategic orientation," International Journal of Quality & Reliability Management, Vol. 34(9), pp. 1530–1550, 2017.
B. Aquilani, C. Silvestri, A. Ruggieri, and C. Gatti, "A systematic literature review on total quality management critical success factors and the identification of new avenues of research," The TQM Journal, Vol. 29(1), pp. 184–213, 2017.
J. V. Saraph, G. P. Benson, and R. G. Schroeder, “An instrument for measuring the critical factors of quality management,” Decision Sciences, Vol. 20, pp. 810–829, 1989.
J. Oakland, “Leadership and policy deployment: the backbone of TQM,” Total Quality Management and Business Excellence, Vol. 22(5), pp. 517–534, 2011.
A. Das, H. Paul, and W. S. Fredric, “Developing and validating total quality management (TQM) constructs in the context of Thailand's manufacturing industry," Benchmarking: An International Journal, Vol. 15(1), pp. 52–72, 2008.
F. A. Abu Bakar, K. Subari, and M. A. Mohd Daril, "Critical success factors of Lean Six Sigma deployment: a current review," International Journal of Lean Six Sigma, Vol. 6(4), pp. 339–348, 2015.
S. Ahire, D. Golhar, and M. Waller, “Development and validation of TQM implementation constructs,” Decision Sciences, Vol. 27(1), pp. 23–56. 1996.
F. Talib, F. Rahman, and M. N. Qureshi, "An empirical investigation of relationship between total quality management practices and quality performance in Indian service companies," International Journal of Quality & Reliability Management, Vol. 30(3), pp. 280–318, 2013.
ARMA International. (2013). Generally Accepted Recordkeeping Principles: Information Governance Maturity Model. [Online]. Available: http://www.arma.org/principles. [Accessed November, 13th 2015]
A. L. Abdullah, Z. M. Yusof, K. Ahmad, and U. A. Mokhtar, “The building blocks of electronic records and information management framework for Malaysia public agencies: contexts and approaches,” Journal of Fundamental and Applied Sciences, Vol. 10(3S), pp. 738–753, 2018.
A. Douglas, J. Douglas, and J. Ochieng, "Lean Six Sigma implementation in East Africa: findings from a pilot study," The TQM Journal, Vol. 27(6), pp.772–780, 2015.
J. Singh and H. Singh, “Continuous improvement philosophy–literature review and directions,” Benchmarking: An International Journal, Vol. 22(1), pp. 75–119. 2015.
J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis: A Global Perspective, 7th ed., Upper Saddle River: Pearson Education, 2010.
M. Levis, “Information Quality Training Requirements Analysis Guideline Demonstrated in a Healthcare Context,” Ph.D thesis, Dublin City University, Jan. 2011.
U. Sekaran and R. Bougie, Research Methods for Business: A Skill Building Approach, 7th ed., New York: John Wiley and Sons, 2016.
B. G. Tabachnick and L. S. Fidell, Using multivariate statistics, 6th ed., Boston, MA: Pearson, 2013
J. Pallant, SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS, 6th ed., NSW, Australia: Allen & Unwin, 2016.
J. W. Cohen, Statistical Power Analysis for the Behavioural Sciences, 2nd ed., Hillsdale, New Jersey: Lawrence Erlbaum Associates, 1988.
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development