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DRIVERS OF DIGITAL TRANSFORMATION IN REGIONAL HOSPITALS: TECHNOLOGICAL CAPABILITY, DIGITAL LEADERSHIP, AND ORGANIZATIONAL LEARNING Nur Indayani; Almansyah Rundu Wonua; Hendrik Hendrik
Jurnal Interprof Vol 12 No 2 (2026): Jurnal Interprof, Agustus
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/interprof.v12i2.3098

Abstract

Purpose: To analyze the influence of technological capabilities   and digital leadership on the success of digital transformation and to examine the role of organizational learning as a moderating variable in regional hospitals Research Methodology: This study was conducted at the Benyamin Guluh Kolaka Hospital  in Southeast Sulawesi, using a quantitative approach. Data were collected via a questionnaire and analyzed using PLS-SEM. Results: Technological capabilities and digital leadership have a positive and significant impact on the success of digital transformation. In addition, organizational learning was found to strengthen the relationship between technological capabilities and digital leadership and the success of digital transformation. These findings indicate that technological readiness, leadership roles, and the organization’s ability to learn and adapt are key factors in supporting the success of digital transformation in the healthcare sector. Conclusions: Technological capabilities and digital leadership play a crucial role in enhancing the success of digital transformation at the Benyamin Guluh Kolaka Hospital (BLUD). Furthermore, organizational learning has been shown to strengthen the impact of both by enhancing the organization’s knowledge, adaptability, and readiness to face digital change. Limitations: Given that the scope of this study was limited to a regional hospital with a small number of respondents, the results cannot yet be widely generalized. Contributions: This study makes a theoretical contribution to the development of research on digital transformation, particularly in regional hospitals, by incorporating organizational learning as a moderating variable. In practical terms, the study’s findings can serve as a reference for hospital management and public sector organizations in enhancing the success of digital transformation through the strengthening of technological capabilities, digital leadership, and organizational learning.  
OPTIMIZING REGIONAL HOSPITAL SERVICES THROUGH ORGANIZATIONAL LEARNING WITH LIMITED RESOURCES Almansyah Rundu Wonua; Ismanto Ismanto; Ansar Abbas; Sudarnice Sudarnice; Fauzih Fauzih
Journal of Economic, Business and Engineering (JEBE) Vol. 7 No. 2 (2026): April
Publisher : Universitas Sains Al Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32500/jebe.v7i2.11033

Abstract

Hospitals are essential in delivering healthcare services to the public, In providing quality services, hospitals are faced with challenges such as limited facilities, budgets, medical personnel, and the emergence of various ever-changing government regulations that force hospitals to follow these rules. Facing various challenges in providing quality health services, hospitals need to adopt organizational learning. Organizational learning allows hospitals to adapt, innovate, and optimize their limited resources. This Study aims to analyze the factors that affect organizational learning in order to improve public services in regional hospitals with limited resources. This research uses a quantitative approach with a survey method and data analysis using Structural Equation Modeling (SEM)-PLS with Smart PLS 3.0. The results of this study indicate that organizational culture and psychological climate are strategies to overcome the limitations of organizational resources and can support effective organizational learning for hospitals. This is due to an organizational culture that supports collaboration among individuals to exchange knowledge and experience to solve the challenges they face in the condition of limited resources, limited facilities, budgets, and medical personnel. The research contribution shows that organizational learning in regional hospitals is often hampered by several factors, but with organizational Culture consistently is one of the main determining facts of organizational learning. This study has limitations because it was conducted at a single hospital, Konawe Regional Hospital, so the results are limited in their generalizability to other organizations or sectors. Furthermore, this study focused solely on organizational culture and psychological climate variables in explaining organizational learning, so there is the possibility that other unexamined variables may also be influential, such as leadership style, absorptive capacity, knowledge management, or knowledge-sharing practices.
Knowledge Sharing Among Public Hospital Staff: An Extended UTAUT Study of Clinical Knowledge Exchange Yul Kusmawati Tamrin; Ismanto Ismanto; Almansyah Rundu Wonua
NeoRespublica : Jurnal Ilmu Pemerintahan Vol. 7 No. 1 (2025): Edisi Desember
Publisher : Program Studi Ilmu Pemerintahan, FISIP - Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52423/neores.v7i1.1257

Abstract

Clinical knowledge sharing in public hospitals is critical for patient safety, continuity of care, and service quality, yet it is often constrained by workload, fragmented information systems, and uncertainty about privacy and accountability. This manuscript develops an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model to explain staff intention to use approved digital communication tools for clinical knowledge exchange and the resulting exchange behavior. Beyond core UTAUT constructs (performance expectancy, effort expectancy, social influence, and facilitating conditions), the model incorporates task-technology fit, trust in digital communication, and perceived privacy and security risk. A quantitative cross-sectional design is proposed for public hospital settings using partial least squares structural equation modeling to test direct and indirect effects, with controls for profession, tenure, and technology experience. The study’s main contribution is a context-specific hypothesis set and an implementable measurement item bank for administrators seeking to strengthen organizational learning and digital governance in hospitals.