Implementation of Design Science for Developing BI Dashboard Employee Engagement Survey

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.

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Publication Details

Journal
Quantitative Economics and Management Studies
Published
2024-08-31
DOI
https://doi.org/10.35877/454ri.qems2699
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Implementation of Design Science for Developing BI Dashboard Employee Engagement Survey

Mone Stepanus Andrias, Haifa Amirasari
Quantitative Economics and Management Studies
Big Data and Business Intelligence
article

Implementation of Design Science for Developing BI Dashboard Employee Engagement Survey

Mone Stepanus Andrias, Haifa Amirasari
article en

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.

Quantitative Economics and Management StudiesVol. 5(4)
University of Indonesia (ID)
Decent work and economic growth
Openalex Percentile: Top 75%
Big Data and Business Intelligence
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