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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS)
Dara Anindya Putri Umagapi
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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ARTIFICIAL INTELLIGENCE AND BIG DATA IN ENHANCING DECISION-MAKING EFFECTIVENESS: A SYSTEMATIC LITERATURE REVIEW Dara Anindya Putri Umagapi; Nuril Huda; Sopiah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i4.4259

Abstract

Advances in digital technology have transformed the way organizations make decisions. Artificial Intelligence (AI) and Big Data Analytics (BDA) are now key foundations for improving the effectiveness of strategic and operational decisions. This study examines the contribution of AI and BDA to the effectiveness of organizational decision-making through a Systematic Literature Review approach with the PRISM protocol. A total of 20 articles from Scopus published in 2020–2025 were analyzed descriptively, thematically, and through content analysis. The results show that AI accelerates, directs, and improves decision fairness, while BDA strengthens data-driven accuracy and prediction. The integration of the two forms an adaptive and intelligent decision-making system. These findings emphasize the relevance of dynamic capability and absorptive capacity theories, as well as the importance of infrastructure readiness, analytical competency, and technology governance within organizations. This study contributes theoretically and provides strategic direction for organizations in the digital transformation process of their decision-making.
THE INFLUENCE OF LEADERSHIP STYLE, COMMUNICATION, AND MOTIVATION ON TEAM WORK EFFECTIVENESS THROUGH JOB SATISFACTION AND TEAM COMMITMENT AS INTERVENING VARIABLES (A CASE STUDY OF TJIWI KIMIA EMPLOYEES' COOPERATIVE) Dara Anindya Putri Umagapi; Arief Noviarakhman Zagladi
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 2 (2026): April
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19973164

Abstract

This study aims to explore the influence of leadership style, communication, and motivation on team effectiveness, with job satisfaction and team commitment considered as mediating variables in the Tjiwi Kimia Employees’ Cooperative. This research employs a quantitative approach using a survey method involving a sample of 35 respondents. The Partial Least Squares Structural Equation Modeling (PLS-SEM) technique is applied to analyze the relationships between the studied variables. The findings indicate that leadership style, communication, and motivation significantly affect team effectiveness, both directly and indirectly through job satisfaction and team commitment. Participative leadership, effective and open communication, and high motivation play crucial roles in enhancing team members’ satisfaction and commitment, ultimately leading to improved team effectiveness overall. Practically, the study recommends that cooperative management adopt participative leadership strategies, enhance communication, and provide motivation to boost team engagement. However, the scope of this research is limited to a single cooperative, and further studies are needed to generalize these findings to other organizations. Future research is expected to involve a more diverse range of organizations and employ qualitative approaches to gain deeper insights.
Co-Authors Arief Noviarakhman Zagladi Nuril Huda Sopiah, Sopiah