skip to main content
10.1145/3271972.3271976acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicemeConference Proceedingsconference-collections
research-article

Determinant Factors of Information Quality in the Malaysian Public Sector

Published: 02 August 2018 Publication History

Abstract

Information has always been deemed as essential and forms the core of continuity and relevance in any organization. Information quality plays a significant role in decision-making apart from fulfilling the users' information requirements to meet their respective needs. It is also key in mitigating certain risks. Organizations that do not practice information quality management are seen as "unethical" and thus, could face repercussions in their performance. This study aims at identifying factors that influence the quality of information in public organizations in Malaysia and how these determining factors give impact to the quality of information in the Malaysian public services. Hence, it has constructed 13 hypotheses in order to examine the relationship between factors that influence the quality of information and the quality of the information itself. The data were collected using the questionnaire which was then analyzed using the PLS-SEM approach. The findings indicate that organizational leadership should give priority to ten factors that have been proven to influence the quality of information in order to empower the information quality management practices, thereby enhancing the delivery performance of public services.

References

[1]
Tyler, J. E. 2017. Asset management the track towards quality documentation. Records Management Journal. 27, 3, 302--317.
[2]
Alenezi, H., Tarhini, A., and Sharma, S. K. 2015. Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits. Transforming Government: People, Process and Policy. 9, 3, 324--351.
[3]
Xu, H. 2003. Critical Success Factors for Accounting Information Systems Data Quality. Doctoral Thesis. University of Southern Queensland, Australia.
[4]
Xu, H. 2015. What are the most important factors for accounting information quality and their impact on AIS data quality outcomes? ACM J. Data Inf. Qual. 5, Article 14 (February 2015), 22 pages.
[5]
Baškarada, S. and Koronios, A. 2014. Critical Success Factor Framework for Information Quality Management. Information Systems Management. 31, 4, 276--295.
[6]
Baškarada, S. 2009. Information Quality Management Capability Maturity Model. Vieweg+Teubner, Wiesbaden, Germany.
[7]
Jylhä, T. and Suvanto, M. E. 2015. Impacts of poor quality of information in the facility management field. Facilities. 33, 5/6, 302--319.
[8]
Wang, R. Y. and Strong, D. M. 1996. Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems. 12, 4, 5--33.
[9]
Levis, M. 2011. Information Quality Training Requirements Analysis Guideline Demonstrated in a Healthcare Context. Doctoral Thesis. Dublin City University.
[10]
Ge, M. 2009. Information quality assessment and effects on inventory decision-making. Doctoral Thesis. Dublin City University.
[11]
English, L. P. 2009. Information Quality Applied: Best Practices for Improving Business Information, Processes and Systems. Wiley Publishing, Indianapolis.
[12]
Lin, C. S. 2008. Building a Framework for Improving Data Quality in Engineering Asset Management. Doctoral Thesis. University of South Australia.
[13]
Al-Hiyari, M. H. H., Al-Mashregy, N., Mat, K, N., and Alekam, J. M. 2013. Factors that affect accounting information system implementation and accounting information quality: A survey in University Utara Malaysia. American Journal of Economics. 3, 1, 27--31.
[14]
Oakland, J. 2011. Leadership and policy deployment: the backbone of TQM. Total Quality Management and Business Excellence. 22, 5, 517--534.
[15]
Das, A., Paul, H., and Swierczek, F. W. 2008. Developing and validating total quality management (TQM) constructs in the context of Thailand's manufacturing industry. Benchmarking: An International Journal. 15, 1, 52--72.
[16]
Bakar, F. A. A., Subari, K., and Daril, M. A. M. 2015. Critical success factors of Lean Six Sigma deployment: a current review. International Journal of Lean Six Sigma. 6, 4, 339--348.
[17]
Aquilani, B., Silvestri, C., Ruggieri, A., and Gatti, C. 2017. A systematic literature review on total quality management critical success factors and the identification of new avenues of research. The TQM Journal. 29, 1, 184--213.
[18]
Ahire, S. L., Golhar, D. Y., and Waller, M. A. 1996. Development and validation of TQM implementation constructs. Decision Sciences. 27, 1 (March 1996), 23--56.
[19]
Kumar, V. and Sharma, R. R. K. 2017. An empirical investigation of critical success factors influencing the successful TQM implementation for firms with different strategic orientation. International Journal of Quality & Reliability Management. 34, 9, 1530--1550.
[20]
ARMA International. Generally Accepted Recordkeeping Principles: Information Governance Maturity Model. Retrieved November 13, 2015 from http://www.arma.org/principles.
[21]
Psomas, E. L. and Jaca, C. 2016. The impact of total quality management on service company performance: evidence from Spain. International Journal of Quality & Reliability Management. 33, 3, 380--398.
[22]
Tee, W., Bowen, P. L., Doyle, P., and Rohde, F. H. 2007. Factors influencing organizations to improve data quality in their information systems. Accounting and Finance. 47, 2, 335--355.
[23]
Lubis, M. A. 2012. Pengaruh Mekanisma Tadbir Urus Korporat Terhadap Kualiti Data Industri Perkilangan Di Sumatera Utara, Indonesia. Doctoral Thesis. Universiti Utara Malaysia.

Index Terms

  1. Determinant Factors of Information Quality in the Malaysian Public Sector

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      ICEME '18: Proceedings of the 2018 9th International Conference on E-business, Management and Economics
      August 2018
      169 pages
      ISBN:9781450365147
      DOI:10.1145/3271972
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • Wilfrid Laurier University: Wilfrid Laurier University

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 02 August 2018

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Information assets
      2. Information management
      3. Information quality
      4. Information quality management
      5. Information system

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      ICEME 2018

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 94
        Total Downloads
      • Downloads (Last 12 months)7
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 17 Jan 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media