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All Journal Quantitative Economics and Management Studies
Amirasari, Haifa
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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Implementation of Design Science for Developing BI Dashboard Employee Engagement Survey Amirasari, Haifa; Andrias, Mone Stepanus
Quantitative Economics and Management Studies Vol. 5 No. 4 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2699

Abstract

Organizations are transitioning to become data-driven across all business aspects, including human resource management. The most crucial data managed is from Employee Engagement Surveys (EES). Organizations require process improvements to analyze EES results more quickly and accurately, even at the subsidiary level. This study implements the design science method to develop an artifact in the form of a Business Intelligence (BI) dashboard. The EES BI dashboard is evaluated using the Technology Acceptance Model (TAM) to assess user acceptance within the organization. The results indicate that the EES BI dashboard is well-received, with users demonstrating a high intention to use it. Thus, it is concluded that design science can be implemented to produce artifacts that assist organizations.
Co-Authors Andrias, Mone Stepanus