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All Journal Annals of Management and Organization Research Reviu Akuntansi, Manajemen, dan Bisnis
Heri Fathurahman
Universitas Indonesia, Depok, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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The Role of Knowledge Sharing in Linking Transformational Leadership with Innovative Work Behavior and Employee Performance in the Public Sector Febrianti Indah Pratiwi; Heri Fathurahman
Reviu Akuntansi, Manajemen, dan Bisnis Vol 6 No 2 (2026): Juni
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/rambis.v5i4.6694

Abstract

Purpose: This study examines the effects of Transformational Leadership on Innovative Work Behavior and Employee Performance through the mediating role of Knowledge Sharing among employees of the Ministry of State Secretariat. Research Methodology: A quantitative approach was employed using data collected from 200 employees through a structured questionnaire. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Results: Transformational Leadership positively and significantly affects Knowledge Sharing, Innovative Work Behavior, and Employee Performance. Knowledge Sharing also positively influences Innovative Work Behavior and Employee Performance and significantly mediates the relationship between Transformational Leadership and both outcomes. Among all predictors, Knowledge Sharing exhibits the strongest effect on employee innovation and performance. Conclusions: Knowledge Sharing emerged as the strongest predictor of employee innovation and performance and served as a significant mediator between Transformational Leadership and both outcomes. This finding underscores the importance of fostering collaborative learning and knowledge exchange to maximize the effectiveness of transformational leadership. Limitations: This research focused on a single public institution and used a cross-sectional design. Contributions: This study contributes to the organizational behavior and public sector management literature by providing evidence of the mediating role of Knowledge Sharing in linking Transformational Leadership with employee innovation and performance within a government institution undergoing bureaucratic reform.
Extending the Expectation-Confirmation Model with Trust: Explaining Civil Servants Continuance Intention toward G2E Systems Ferio Pristiawan Ekananda; Heri Fathurahman
Reviu Akuntansi, Manajemen, dan Bisnis Vol 6 No 2 (2026): Juni
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/rambis.v5i4.6715

Abstract

Abstract Purpose: This study investigates the factors influencing civil servants' continuance intention to use SimASN, a mandatory Government-to-Employee (G2E) e-government system deployed by the Gorontalo Provincial Government, Indonesia. Research Methodology: Drawing on the Expectation-Confirmation Model (ECM) and integrating Trust as an additional construct, this research proposes and tests an extended theoretical framework using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through an online questionnaire from 204 civil servants (ASN), of which 200 valid responses were retained for analysis after data screening. Results: Results indicate that Trust (TR) emerged as the strongest direct predictor of Continuance Intention to Use (CIU) (? = 0.410), followed by Satisfaction (SA) (? = 0.346) and Perceived Usefulness (PU) (? = 0.229). Expectation Confirmation (EC) exerts no significant direct effect on CIU but operates entirely through mediated pathways, most strongly via EC ? TR ? CIU (indirect effect = 0.230), closely paralleled by EC ? SA ? CIU (indirect effect = 0.215). Conclusions: Trust emerges as the leading psychological mechanism, operating in parallel with Satisfaction, in mandatory e-government systems managing sensitive personnel data. The model extends ECM theory by demonstrating that conventional applications without Trust underspecify important variance in continuance intention. Limitations: The cross-sectional design limits causal inference. The single-province, mandatory-system context may constrain generalizability to voluntary or multi-jurisdictional e-government settings. Contributions: This study contributes to the public administration and information systems disciplines by providing an evidence base for prioritizing trust-building investments, particularly in data security and expectation alignment, to sustain long-term digital governance.
Determinants of Technology Acceptance of the Pamong Desa LMS Among Village Officials in West Bandung Regency Muhamad Nur Fajar; Heri Fathurahman
Annals of Management and Organization Research Vol. 8 No. 1 (2026): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v8.n1.p53-71.2026

Abstract

Purpose: This study aimed to examine the factors influencing the technology acceptance of the Learning Management System (LMS) Pamong Desa among village officials in West Bandung Regency using the General Extended Technology Acceptance Model for E-Learning (GETAMEL) framework. Methodology: This study employed a quantitative approach with 245 village officials with prior experience using the LMS Pamong Desa. Data were collected through questionnaires and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS), incorporating variables such as experience, subjective norms, enjoyment, computer anxiety, and self-efficacy. Results: The results show that Enjoyment significantly affected perceived usefulness and perceived ease of use, whereas self-efficacy influenced perceived ease of use. Perceived ease of use affects perceived usefulness and intention to use, and perceived usefulness also influences the intention to use. Experience, subjective norms, and computer anxiety were not significant. Conclusions: Intrinsic and cognitive factors are more influential than external and social factors in determining technology acceptance. Limitations: This study was limited to a single regional context and cross-sectional data. Contributions: This study contributes to the literature by demonstrating that the explanatory power of the GETAMEL model is context-dependent rather than universal, particularly in decentralized public sector settings. It highlights that intrinsic and cognitive factors outweigh social influences in shaping technology acceptance, offering new insights into e-learning adoption in local governance environments.
The Role of Knowledge Sharing in Linking Transformational Leadership with Innovative Work Behavior and Employee Performance in the Public Sector Febrianti Indah Pratiwi; Heri Fathurahman
Reviu Akuntansi, Manajemen, dan Bisnis Vol 6 No 2 (2026): Juni
Publisher : Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/rambis.v5i4.6694

Abstract

Purpose: This study examines the effects of Transformational Leadership on Innovative Work Behavior and Employee Performance through the mediating role of Knowledge Sharing among employees of the Ministry of State Secretariat. Research Methodology: A quantitative approach was employed using data collected from 200 employees through a structured questionnaire. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Results: Transformational Leadership positively and significantly affects Knowledge Sharing, Innovative Work Behavior, and Employee Performance. Knowledge Sharing also positively influences Innovative Work Behavior and Employee Performance and significantly mediates the relationship between Transformational Leadership and both outcomes. Among all predictors, Knowledge Sharing exhibits the strongest effect on employee innovation and performance. Conclusions: Knowledge Sharing emerged as the strongest predictor of employee innovation and performance and served as a significant mediator between Transformational Leadership and both outcomes. This finding underscores the importance of fostering collaborative learning and knowledge exchange to maximize the effectiveness of transformational leadership. Limitations: This research focused on a single public institution and used a cross-sectional design. Contributions: This study contributes to the organizational behavior and public sector management literature by providing evidence of the mediating role of Knowledge Sharing in linking Transformational Leadership with employee innovation and performance within a government institution undergoing bureaucratic reform.
Extending the Expectation-Confirmation Model with Trust: Explaining Civil Servants Continuance Intention toward G2E Systems Ferio Pristiawan Ekananda; Heri Fathurahman
Reviu Akuntansi, Manajemen, dan Bisnis Vol 6 No 2 (2026): Juni
Publisher : Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/rambis.v5i4.6715

Abstract

Abstract Purpose: This study investigates the factors influencing civil servants' continuance intention to use SimASN, a mandatory Government-to-Employee (G2E) e-government system deployed by the Gorontalo Provincial Government, Indonesia. Research Methodology: Drawing on the Expectation-Confirmation Model (ECM) and integrating Trust as an additional construct, this research proposes and tests an extended theoretical framework using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through an online questionnaire from 204 civil servants (ASN), of which 200 valid responses were retained for analysis after data screening. Results: Results indicate that Trust (TR) emerged as the strongest direct predictor of Continuance Intention to Use (CIU) (? = 0.410), followed by Satisfaction (SA) (? = 0.346) and Perceived Usefulness (PU) (? = 0.229). Expectation Confirmation (EC) exerts no significant direct effect on CIU but operates entirely through mediated pathways, most strongly via EC ? TR ? CIU (indirect effect = 0.230), closely paralleled by EC ? SA ? CIU (indirect effect = 0.215). Conclusions: Trust emerges as the leading psychological mechanism, operating in parallel with Satisfaction, in mandatory e-government systems managing sensitive personnel data. The model extends ECM theory by demonstrating that conventional applications without Trust underspecify important variance in continuance intention. Limitations: The cross-sectional design limits causal inference. The single-province, mandatory-system context may constrain generalizability to voluntary or multi-jurisdictional e-government settings. Contributions: This study contributes to the public administration and information systems disciplines by providing an evidence base for prioritizing trust-building investments, particularly in data security and expectation alignment, to sustain long-term digital governance.
Co-Authors Febrianti Indah Pratiwi Ferio Pristiawan Ekananda Muhamad Nur Fajar