Evaluating Local Heritage Knowledge Repository System by Identifying Factors Influencing Individual Impact Using the IS Success Model

  • Iskandar Yulita Hanum P Senior Lecturer, Universiti Sains Malaysia, Penang, Malaysia
  • Kumar Rakesh Postgraduate Student, Universiti Sains Malaysia, Penang, Malaysia
  • Nazri Shahrizal Senior IT Officer, Universiti Sains Malaysia, Penang, Malaysia
  • Osman Mohd Azam Associate Professor, Universiti Sains Malaysia, Penang, Malaysia
Keywords: Individual impact, IS. success model, Local heritage, knowledge repository

Abstract

This paper evaluates the Local Heritage Knowledge Repository System (LHKRS) by identifying the factors which influence the individual impact using the Information System (I.S.) success model. The I.S. success model is a common framework that has been developed and updated by DeLone and McLean, to test an information system. The success model comprised of seven factors: system quality, information quality, service quality, user satisfaction, intention to use, use, and individual impact.

z Findings show system quality and the information quality has a positive impact on use and user satisfaction. The service quality has minimal impact on user satisfaction, and no significance was identified towards use. between the dependent variables, which are use and user satisfaction, user satisfaction had the highest positive impact on individual impact. This seven-dimension model captures the values needed for a successful LHKRS implementation

References

Abd Manaf, Z. (2008). Establishing the national digital cultural heritage repository in Malaysia. Library Review.
Adebowale I. Ojo, P. S. o. M., IT & Governance, University of KwaZulu-Natal, Durban, South Africa (Producer). (2017). Validation of the DeLone and McLean Information Systems Success Model. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334133/
Bakalos, N., Doulamis, N., & Doulamis, A. (2020). Multispectral Monitoring of Microclimate Conditions for Non-destructive Preservation of Cultural Heritage Assets. In Strategic Innovative Marketing and Tourism (pp. 641-646): Springer.
Charalambous, C., Fleszar, K., & Hindi, K. S. (2010). A hybrid searching method for the unrelated parallel machine scheduling problem. Paper presented at the IFIP International Conference on Artificial Intelligence Applications and Innovations.
D'Elia, G., & Walsh, S. (1983). User satisfaction with library service: a measure of public library performance? The Library Quarterly, 53(2), 109-133.
Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. Mis Quarterly, 259-274.
Gorelick, C., Milton, N., & April, K. (2012). The knowledge management mandate: performance through learning. In Performance Through Learning (pp. 3-23): Routledge.
Hair, J. F. J., Hult, G.T.M., Ringle, C. and Sarstedt, M. (2017),. A Primer on Partial Least Squares.
Iranmanesh, M., Zailani, S. and Nikbin,. (2017). Quality Management in Health Care.
Iyengar, K., & Montealegre, R. (2021). Knowledge management system use as a key driver of professional and organizational cognitive engagement. Journal of the Association for Information Systems, 22(2), 3.
Khan, M. A. Z. (June 2010). Validating IS Success Model: Evaluation of Swedish e-Tax System.
Mailangkay, A., Indrajit, E., Kosala, R., & Hidayat, A. (2019). Analysis of the factors that affecting intention to use Tourism Online Booking. International Journal of Advanced Trends in Computer Science and Engineering, 8(6), 2710-2715.
Mustafa, S. Z., Kar, A. K., & Janssen, M. (2020). Understanding the impact of digital service failure on users: Integrating Tan’s failure and DeLone and McLean’s success model. International Journal of Information Management, 53, 102119.
Noor, S., Shah, L., Adil, M., Gohar, N., Saman, G. E., Jamil, S., & Qayum, F. (2019). Modeling and representation of built cultural heritage data using semantic web technologies and building information model. Computational and Mathematical Organization Theory, 25(3), 247-270.
Nugroho, Y., & Prasetyo, A. (2018). Assessing information systems success: a respecification of the DeLone and McLean model to integrating the perceived quality. Problems and Perspectives in Management, 16(1), 348.
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), 236-263.
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information systems research, 13(1), 50-69.
Roky, H., & Meriouh, Y. A. (2015). Evaluation by Users of an Industrial Information System (XPPS) Based on the DeLone and McLean Model for IS Success. Procedia Economics and Finance, 26, 903-913. doi:https://doi.org/10.1016/S2212-5671(15)00903-X
Wong, P. L., Osman, M. A., Masron, T., & Talib, A. Z. (2016). An improved searching method for retrieving local knowledge information.
Published
2022-09-09
How to Cite
Yulita Hanum P, I., Rakesh, K., Shahrizal, N., & Mohd Azam, O. (2022). Evaluating Local Heritage Knowledge Repository System by Identifying Factors Influencing Individual Impact Using the IS Success Model. International Journal of Information Management Sciences, 6(1), 15-31. Retrieved from https://ijims.org/index.php/IJIMS/article/view/147