Analyzing Trends in Dashboard Systems for Business Strategy Insights: Mapping the Literature

Wijaya, Santo Fernandi and Kuswanto, Verri and Alianto, Hendra (2024) Analyzing Trends in Dashboard Systems for Business Strategy Insights: Mapping the Literature. Journal of System and Management Sciences, 14 (6). pp. 249-265. ISSN 18166075

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Abstract

This innovation mined current trends in dashboard system research to identify critical indicators for effective business strategy support, so that the evolution of dashboard systems to become more advanced and innovative is needed. The dashboard systems trend must be able to provide faster data access, more in-depth analysis, and an increasingly personalized user experience. The use of artificial intelligence in the development of current issues to help management make decisions about business strategy. A questionnaire survey of 91 professionals was conducted to rank 23 dashboard indicators obtained from previous literature. This study conducts a mapping analysis of previous research and manages data using the Partial Least Squares-Structure Equation Modeling (PLS-SEM) analysis with revealed business analytics as the most significant indicator, followed by functionality and security. However, knowledge management and process management had relatively lower importance. The findings provide valuable insights on emphasizing analytics, security, and adaptability in next-generation responsive dashboards tailored to management needs to enhance organization performance. This study’s results provide critical factors determining success in implementing the dashboard systems. This study contributes to consolidating disparate dashboard previous literature into a unified indicator framework and, as a tool assessment, the practical significance of making business strategy decisions for managers, practitioners, and academics. Future research includes investigating the effects of emerging technologies like artificial intelligence on the evolution of business intelligent dashboard systems.

Item Type:	Article
Keywords:	business strategy, business intelligent, dashboard system, mapping literature, trends.
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware > 004.2 Systems Analysis and Design, Information Architecture, Performance Evaluation 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods > 006.2 Special-purpose System, Data Collection, Automatic Identification and Data Capture
Divisions:	Faculty of Engineering & Informatics > Information System
Depositing User:	Administrator UMN Library
Date Deposited:	25 Oct 2024 07:53
Last Modified:	25 Oct 2024 07:55
URI:	https://kc.umn.ac.id/id/eprint/32006

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