Academic Perspectives on Open Government Data: A Study of Quality, Trust and Intention to Use

  • Noor Zalina Zainal Universiti Teknologi MARA, Puncak Alam
  • Noor Hayani Abdul Rahim International Islamic University Malaysia, Selangor, Malaysia
  • Mior Nasir Mior Nazri International Islamic University Malaysia, Selangor, Malaysia
Keywords: Open government data, information success model, trust, OGD, intention to use

Abstract

Open Government Data (OGD) is a highly effective method for governments in many countries to share data with citizens. Many governments have taken the initiative to create their platform for sharing freely accessible data. Even though the platform is ready for use, the level of OGD usage remains to be discovered. It is critical to investigate the behavioral intention to use OGD to ensure transparency, accountability and trust in the government. This research aimed to fill the gap in the literature on the quality factors of OGD that influence the intention to use from the academic staff perspective. As 389 data was analyzed using Structural Equation Modeling (SEM) – SmartPLS the purposive sampling technique was applied. The results determined that information quality plays a big role in indicating trust in the OGD website as compared to service quality and system quality. For the mediating results, it is proven that trust in the OGD website mediates the relationship between trust in government and behavioral intention and trust in technology and behavioral intention to use OGD. The government can determine the extent of OGD usage in the nation by looking at characteristics including quality, and trust. The results of this empirical study may therefore be useful in helping the federal, state and municipal governments get ready for the release of their various open data sets. According to the National Agenda for a Digital Malaysia, this study may guarantee that Malaysia's accessible government data serves its residents in several ways.

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References

Abu-Shanab, E., & Al-Azzam, A. (2012). Trust Dimensions and the Adoption of E-Government in Jordan. International Journal of Information Communication Technologies and Human Development, 4(1), 39–51. https://doi.org/10.4018/jicthd.2012010103
Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitudes toward e-government adoption and use. Computers in Human Behavior, 53, 189–203.
Andrew H. Gold, Arvind Malhotra, & Albert H. Segars. (2001). Knowledge management: an organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214.
Belanger, F., Hiller, J. S., & Smith, W. J. (2002). Trustworthiness in electronic commerce: the role of privacy, security, and site attributes. The Journal of Strategic Information Systems, 11(3–4), 245–270.
Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25. https://doi.org/10.1111/j.1365-2575.2005.00183.x
Chemingui, H., & Lallouna, H. Ben. (2013). Resistance, motivations, trust and intention to use mobile financial services. International Journal of Bank Marketing, 31(7), 574–592.
Chen, M., Cao, Y., & Liang, Y. (2023). Determinants of open government data usage: Integrating trust theory and social cognitive theory. Government Information Quarterly, June, 101857. https://doi.org/10.1016/j.giq.2023.101857
Chin, W. W. (1998). Issues and opinions on structural equation modeling. MIS Quarterly: Management Information Systems, 22(1).
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences: 2nd Edition.
Cui, Y., Mou, J., Cohen, J., & Liu, Y. (2018). Understanding IS Success Model and Valence Framework in Sellers’ Acceptance of Cross-border E-commerce. Seventeenth Wuhan International Conference on E-Business, 31–38.
Damabi, M., Firoozbakht, M., & Ahmadyan, A. (2018). A Model for Customer Satisfaction and Trust for Mobile Banking Using DeLone and McLean Model of Information Systems Success. Journal of Soft Computing and Decision Support Systems, 5(3), 21–28.
Esmaili, E., Desa, M. I., Moradi, H., & Hemmati, A. (2011). The Role of Trust and Other Behavioral Intention Determinants on Intention toward Using Internet Banking. International Journal of Innovation, Management and Technology, 2(1), 95–100. http://www.ijimt.org/papers/111-E00102.pdf
Faul, F., Erdfelder, E., Bucher, A., & Lang, A.-G. (2009). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavioral Research Methods, 39(2), 175–191.
Fitriani, W. R., Hidayanto, A. N., Sandhyaduhita, P. I., & Purwandari, B. (2017). Determinants of Intention to Use Open Data Website: An Insight from Indonesia. PACIS 2017 Proceedings.
Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, & James E. Witnauer. (2018). Essentials of Statistics for the Behavioral Sciences. In Cengage Learning.
Gao, Y., Janssen, M., & Zhang, C. (2023). Understanding the evolution of open government data research: towards open data sustainability and smartness. International Review of Administrative Sciences, 89(1), 59–75. https://doi.org/10.1177/00208523211009955
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4(October). https://doi.org/10.17705/1cais.00407
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/mtp1069-6679190202
Hair, J., Money, A., Page, M., & Samouel, P. (2007). Research Methods for Business. John Wiley & Sons.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Joseph F. Hair, J., G. Tomas M. Hult, Christian Ringle, & Marko Sarstedt. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications.
Jurisch, M. C., Kautz, M., Wolf, P., & Krcmar, H. (2015). An International Survey of the Factors Influencing the Intention to Use Open Government. 2015 48th Hawaii International Conference on System Sciences, 2015-March, 2188–2198. https://doi.org/10.1109/HICSS.2015.262
Kementerian Pendidikan Malaysia. (n.d.). Kategori Universiti Awam (UA). mohe.gov.my/institusi/universiti-awam/kategori-ua%0D
Lean, O. K., Zailani, S., Ramayah, T., & Fernando, Y. (2009). Factors influencing intention to use e-government services among citizens in Malaysia. International Journal of Information Management, 29(6), 458–475.
Lee, J.-H., & Song, C. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality: An …, 41(3), 587–598. https://doi.org/10.2224/sbp.2013.41.4.587
Ln?ni?ka, M., Nikiforova, A., Saxena, S., & Singh, P. (2022). Investigation into the adoption of open government data among students: the behavioral intention-based comparative analysis of three countries. Aslib Journal of Information Management, 74(3), 549–567. https://doi.org/10.1108/AJIM-08-2021-0249
Matheus, R., Alexopoulos, C., Rizun, N., Loukis, E., & Saxena, S. (2024). Impact of information systems (IS) infusion on Open Government Data (OGD) adoption. Digital Policy, Regulation and Governance. https://doi.org/10.1108/DPRG-07-2023-0107
Mcknight, K., O'Malley, K., Ruzic, R., Kelly Horsley, M., Franey, J. & Bassett, K. (2016). Teaching in a Digital Age: How Educators Use Technology to Improve Student Learning. Journal of Research on Technology in Education. 48(3), 1-18. 10.1080/15391523.2016.1175856.
Nicolaou, A. I., & Mcknight, H. (2006). Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and. 17(4).
Nulhusna, R., Sandhyaduhita, P. I., Hidayanto, A. N., & Phusavat, K. (2017). The relation of e-government quality on public trust and its impact on public participation. Transforming Government: People, Process and Policy, 11(3), 393–418. https://doi.org/10.1108/TG-01-2017-0004
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS3.0. Pearson.
Rizun, N., Kleiman, F., & Matheus, R. (2023). How do personality traits influence Open Government Data (OGD) adoption and usage?? Investigating the indirect and moderating effects. Proceedings of the 24th Annual International Conference on Digital Government Research (Pp. 458-467)., 458–467.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling (Vol. 267). https://doi.org/10.1007/978-3-319-71691-6
Sok Foon, Y., & Chan Yin Fah, B. (2011). Internet Banking Adoption in Kuala Lumpur: An Application of UTAUT Model. International Journal of Business and Management, 6(4), 161–167.
Sullivan, G. M., & Feinn, R. (2013). Using Effect Size—or Why the P Value Is Not Enough. Journal of Graduate Medical Education, 4(3), 279–282. https://doi.org/10.4300/jgme-d-12-00156.1
Talukder, M. S., Shen, L., Hossain Talukder, M. F., & Bao, Y. (2019). Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh. Technology in Society, 56, 147–156. https://doi.org/10.1016/j.techsoc.2018.09.013
Teo, T. S. H., Srivastava, S. C., & Jiang, L. (2008). Trust and Electronic Government Success: An Empirical Study. Journal of Management Information Systems, 25(3), 99–132.
Wang, T., Cao, Y., & Yang, S. (2010). Building the model of sustainable trust in e-government. Proceedings - 2010 2nd IEEE International Conference on Information and Financial Engineering, ICIFE 2010, 698–701.
Published
2024-05-29
How to Cite
Zainal, N. Z., Abdul Rahim, N. H., & Mior Nazri, M. N. (2024). Academic Perspectives on Open Government Data: A Study of Quality, Trust and Intention to Use. Information Management and Business Review, 16(2(I)S), 53-61. https://doi.org/10.22610/imbr.v16i2(I)S.3768
Section
Research Paper