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Strategic Leadership Transformation through the Integration of Artificial Intelligence in Organizational Decision Systems: A Comparative Study on Technology Companies in Indonesia Vika Fransisca; Wahyu Eko Saputro
Return : Study of Management, Economic and Bussines Vol. 5 No. 1 (2026): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v5i1.453

Abstract

The development of Artificial Intelligence (AI) technology has driven transformation in various aspects of the organization, including in strategic leadership roles and patterns. In the midst of the digital acceleration that has occurred in Indonesia's technology sector, organizational leaders are required to be able to integrate AI in the strategic decision-making process to remain adaptive and competitive. This study aims to analyze how strategic leadership transformation occurs through AI integration, as well as compare its approaches across five technology companies in Indonesia. The approach used is a mixed methods with a sequential explanatory design, involving 100 quantitative respondents and 10 qualitative informants from the managerial and executive levels. The results show that the integration of AI in strategic decisions is still limited to a small percentage of companies and is highly dependent on digital literacy, leadership style, and organizational cultural readiness. Leaders who are adaptive to technology demonstrate the ability to optimize AI as a strategic partner, not just a technical tool. In addition, organizations with open structures and collaborative cultures are experiencing data-driven leadership transformations faster. The research also produced a conceptual model that illustrates the linkages between leadership, AI, and organizational readiness as a framework for sustainable digital transformation. The findings are expected to be a reference both practically and theoretically for the development of strategic leadership in the era of artificial intelligence.
Cloud-Based ERP Integration in Regional Hospitals: A Critical Analysis Success Factors and Change Management in Indonesia Wahyu Eko Saputro; Vika Fransisca
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 5 No. 2 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/4c23t524

Abstract

Digital transformation in the public health sector has become increasingly urgent to meet demands for efficiency, transparency, and integrated services. In this context, the implementation of cloud-based Enterprise Resource Planning (ERP) systems represents a strategic solution for Regional Hospitals (RSD) in Indonesia. This study aims to identify the Critical Success Factors (CSFs) and examine the role of change management using the ADKAR model in supporting successful cloud ERP implementation. A qualitative case study approach was employed across several regional hospitals, with data collected through in-depth interviews, field observations, and document analysis. The findings indicate that the success of cloud ERP implementation is strongly influenced by digital readiness, leadership support, user training, and the quality of vendor partnerships. Furthermore, the ADKAR model effectively facilitates the transition process by guiding organizational change from awareness to reinforcement. The implementation also contributes to operational efficiency, including reduced inventory costs, faster HR administrative processes, and improved reporting transparency. However, several challenges persist, such as user resistance, limited sustainable budgets, and disparities in digital infrastructure across regions. This study concludes that successful cloud ERP implementation requires an integrative approach that combines technological, organizational, and human factors to achieve sustainable outcomes in public healthcare systems.