Determinant factors of information quality in the Malaysian public sector

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018
PublisherAssociation for Computing Machinery
Pages70-74
Number of pages5
ISBN (Electronic)9781450365147
DOIs
Publication statusPublished - 2 Aug 2018
Event9th International Conference on E-business, Management and Economics, ICEME 2018 - Waterloo, Canada
Duration: 2 Aug 20184 Aug 2018

Other

Other9th International Conference on E-business, Management and Economics, ICEME 2018
CountryCanada
CityWaterloo
Period2/8/184/8/18

Fingerprint

Quality management
Information management
Decision making
Scanning electron microscopy

Keywords

  • Information assets
  • Information management
  • Information quality
  • Information quality management
  • Information system

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Hassan, E., Mohammad Yusof, Z., & Ahmad, K. (2018). Determinant factors of information quality in the Malaysian public sector. In Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018 (pp. 70-74). Association for Computing Machinery. https://doi.org/10.1145/3271972.3271976

Determinant factors of information quality in the Malaysian public sector. / Hassan, Erizamsha; Mohammad Yusof, Zawiyah; Ahmad, Kamsuriah.

Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018. Association for Computing Machinery, 2018. p. 70-74.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hassan, E, Mohammad Yusof, Z & Ahmad, K 2018, Determinant factors of information quality in the Malaysian public sector. in Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018. Association for Computing Machinery, pp. 70-74, 9th International Conference on E-business, Management and Economics, ICEME 2018, Waterloo, Canada, 2/8/18. https://doi.org/10.1145/3271972.3271976
Hassan E, Mohammad Yusof Z, Ahmad K. Determinant factors of information quality in the Malaysian public sector. In Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018. Association for Computing Machinery. 2018. p. 70-74 https://doi.org/10.1145/3271972.3271976
Hassan, Erizamsha ; Mohammad Yusof, Zawiyah ; Ahmad, Kamsuriah. / Determinant factors of information quality in the Malaysian public sector. Proceedings of 2018 9th International Conference on E-business, Management and Economics, ICEME 2018. Association for Computing Machinery, 2018. pp. 70-74
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