Journal of Enterprise and Business Intelligence


Information System Performance in Digitalization Era



Journal of Enterprise and Business Intelligence

Received On : 15 April 2021

Revised On : 12 July 2021

Accepted On : 22 August 2021

Published On : 05 October 2021

Volume 01, Issue 04

Pages : 160-166


Abstract


During a pandemic like now, digitization and the police have become a continuous collaboration The importance of the existence of the police is increasingly needed by a society that is increasingly developing and facing increasing social problems. The traffic police unit for the city of Samarinda is a special unit that is generally involved in the field of vehicle discipline, in that it is always ready to serve the community, especially during the pandemic. For services provided to the community, of course, not all can be covered well, given the situation and conditions of the regions that are experiencing rapid development. Thus, the importance of fulfilling the internal factors of optimal human resources in the traffic unit of the Samarinda Police also needs attention. Through the use of leadership style variables, organizational learning, and job satisfaction, then it will be measured the individual performance achievement which is also the performance of the organization. Respondents taken in the sample of this study were the entire population of members of the Samarinda Traffic Police, totaling 108 members. The use of questionnaire media is a measuring tool used in further analysis in the SEM PLS model to answer the research hypothesis. Thus, it is therefore more relevant to the use of the conceptual model of investigating the relationship between constructs using confirmatory factor analysis (CFA). This study also contains a discussion of the theory and results of empirical studies.


Keywords


Leadership Style, Organization Culture, Job Satisfaction, Job Performance.


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Cite this article


Seow Chee Hsin and Heng Meng, “Information System Performance in Digitalization Era”, Journal of Enterprise and Business Intelligence, vol.1, no.4, pp. 160-166, October 2021. doi: 10.53759/5181/JEBI202101018.


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© 2021 Seow Chee Hsin and Heng Meng. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.