This study examines the influence of digital transformation on organizational sustainability in Indonesia manufacturing industry and the role of mediating and moderating variables. This study examines digital transformation and organizational sustainability in the manufacturing industry, highlighting the role of green innovation as mediating variables. A quantitative approach was employed using a survey method, distributing questionnaires to managers of multinational manufacturing companies in the Riau Islands, Indonesia with sample size of 214 respondents. The results indicate that digital transformation has a significant positive effect between green innovation, and organizational sustainability performance. The mediating variables of green innovation strengthen the relationship between digital transformation and organizational sustainability. The practical implications of this study highlight the importance of digitalization strategy, green innovation in enhancing organizational sustainability. This study has limitations, including its limited geographic scope and sample size, the use of cross-sectional data that cannot capture temporal dynamics, and variables that do not cover all aspects of sustainability.
Yuswardi, Yolanda Masnita Siagian, H. Yusran et al.· International journal of res...· 0 citations
Purpose: This study aims to map the evolution, influential sources, dominant themes, mechanisms, and future research directions of Scopus-indexed studies examining the relationship between green innovation and Environmental, Social, and Governance (ESG) performance during 2015–2025.Research Methodology: This study employed a PRISMA-guided bibliometric systematic review approach using Scopus-indexed journal articles. A total of 22 eligible articles were identified and analyzed through VOSviewer-based bibliometric mapping and thematic synthesis to reveal publication trends, intellectual structures, and emerging research themes.Results: The findings indicate that GI–ESG research has experienced significant growth after 2022, with increasing attention to the roles of green finance, digital transformation, disclosure quality, governance mechanisms, and institutional support. The synthesis demonstrates that green innovation contributes more effectively to ESG performance when supported by organizational capabilities and contextual factors.Conclusions: Green innovation has evolved into a strategic mechanism that enables firms to transform sustainability initiatives into measurable ESG outcomes.Limitations: This study is limited to Scopus-indexed journal articles published between 2015 and 2025 and includes only 22 studies, which may exclude relevant evidence from other sources.Contributions: This study contributes by integrating bibliometric analysis and thematic synthesis to develop a mechanism-oriented framework explaining how digital capability, governance, disclosure, and green finance strengthen the role of green innovation in improving ESG performance.
Erna Wati, Y. Masnita, H. Yusran et al.· Jurnal Akuntansi Keuangan da...· 0 citations
Objective: This study aims to analyze the influence of Integration AI in e-HRM on Organization Performance through the mediating role of Effectiveness of HR Decisions and examine the role of Organizational Culture moderation in strengthening the relationship between Integration AI in e-HRM and Effectiveness of HR Decisions. This research was developed to explain the mechanism of organizational value creation using Artificial Intelligence (AI) in the practice of electronic Human Resource Management (e-HRM).
Design/Methodology/Approach: This study uses a quantitative approach with a cross-sectional survey design. Data was collected from 200 managers and Human Resource professionals at multinational manufacturing companies in the Riau Islands, Indonesia, who have implemented AI in e-HRM practices. The research model was developed based on the integration of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Technology–Organization–Environment (TOE) Framework. Hypothesis testing was carried out using Covariance-Based Structural Equation Modeling (CB-SEM) with the help of AMOS.
Results: The results of the study show that the Integration of AI in e-HRM has a positive and significant effect on the Effectiveness of HR Decisions and Organization Performance. The effectiveness of HR Decisions has been shown to have a positive effect on Organization Performance and partially mediates the relationship between Integration AI in e-HRM and Organization Performance. In addition, Organizational Culture has been proven to strengthen the influence of AI Integration in e-HRM on the Effectiveness of HR Decisions. These findings show that AI creates organizational value through direct operational channels and strategic channels that occur through improving the quality of HR decisions.
Theoretical Implications: This study expands the application of UTAUT2 and the TOE Framework in the context of AI-enabled Human Resource Management by explaining the Effectiveness of HR Decisions as the main mechanism linking AI integration with improved organizational performance as well as identifying Organizational Culture as an organizational condition that influences the effectiveness of AI utilization.
Practical Implications: The research findings provide implications for organizations in designing HR digital transformation strategies that not only focus on the adoption of AI technology, but also on improving the quality of HR decisions and strengthening organizational cultures that support innovation, collaboration, and data utilization in decision-making.
Originality: This research offers an empirical model that explains the mechanisms of AI value creation in e-HRM through a combination of direct relationships, mediation, and moderation in one integrated conceptual framework. The study also provides empirical evidence from multinational manufacturing companies in Indonesia, which is still relatively limited in the literature on AI and Human Resource Management.
Ridhayati Farid, Yolanda Masnita, H. Yusran et al.· International journal of res...· 0 citations
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