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All Journal MIX : Jurnal Ilmiah Manajemen Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Riset Akuntansi dan Keuangan EKONOMIS : Journal of Economics and Business JMM (Jurnal Masyarakat Mandiri) Martabe : Jurnal Pengabdian Kepada Masyarakat Value: Jurnal Manajemen dan Akuntansi Majalah Ilmiah Warta Dharmawangsa Reswara: Jurnal Pengabdian Kepada Masyarakat Bisnis Net : Jurnal Ekonomi dan Bisnis Jurnal Visi Pengabdian Kepada Masyarakat Jurnal Transformasi Administrasi Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Jurnal Bisnis Corporate Journal Economic Management and Business JUDIS : Jurnal Multidisiplin dan Sains Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies Jurnal Pengabdian Masyarakat SAPANGAMBEI MANOKTOK HITEI
Umar Hamdan Nasution
Fakultas Ekonomi, Universitas Dharmawangsa Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Collaborative AI Governance for Digital Innovation and Knowledge Integration Performance Umar Hamdan Nasution; Cut Zahri; M. Arif Rahman
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.11

Abstract

 The rapid development of Artificial Intelligence (AI) has significantly transformed organizational strategies in managing knowledge resources, decision-making processes, and innovation activities within digital ecosystems. AI enables organizations to process large-scale data, generate predictive insights, and improve strategic responsiveness in increasingly dynamic environments. However, the successful implementation of AI does not rely solely on technological readiness, but also requires governance mechanisms that ensure transparency, accountability, fairness, and ethical use of data. Without appropriate governance structures, AI adoption may generate risks related to algorithmic bias, data misuse, lack of explainability, and reduced organizational trust. This study aims to develop an empirical model explaining the relationship between collaborative AI governance, knowledge integration capability, digital innovation capability, and innovation performance. The research is grounded in Resource-Based View (RBV) and Dynamic Capability Theory, which emphasize that organizational capabilities play an important role in creating sustainable competitive advantage. AI governance is conceptualized as a strategic capability that enables organizations to integrate knowledge resources and support innovation processes. Knowledge integration capability reflects the organizational ability to combine data, expertise, and digital resources into new value creation mechanisms, while digital innovation capability represents the ability to transform technological knowledge into innovative products, services, and business models. This study adopts a quantitative research approach using survey data collected from 210 respondents consisting of managers, IT professionals, and digital transformation specialists from organizations implementing AI-based technologies. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate measurement validity, reliability, and structural relationships among variables. The findings indicate that collaborative AI governance has a significant positive effect on knowledge integration capability, which subsequently enhances digital innovation capability and innovation performance. The results highlight the importance of governance mechanisms in ensuring responsible AI adoption and strengthening organizational innovation outcomes. This study contributes to the literature by integrating AI governance and knowledge integration capability into a unified empirical framework explaining innovation performance in digital ecosystems. The findings also provide practical implications for organizations seeking to improve innovation capability through responsible AI governance strategies 
Co-Authors Al Firah Al Firah Al Firah Al Firah Al Firah, Al Firah Andika Andika Arbi Sulistiyo Aurel, Nurul Bobby Hartanto Br Bangun, Emi Riana Cut Zahri Cut Zahri Cut Zahri Cut Zahri Dea Novita Tanjung Devi Risda Simarmata Dewi Wahyuni Eddy Iskandar Eddy Iskandar Fandi Iskandar Sopang Fasyah, Shakira Fayati Shasabila Firah, Al Harun Harun Idris Idris Ikhwanul Ahmad Indah Mutannisa Indah Rezeky Febryza Iskandar, Eddy Jessisca Jessisca Junaidi, Listya Devi Kartika Pratiwi Khairuni, Lila Listya Devi Junaidi Livia Surdi Lukman Hakim Siregar M Amri Nasution M. Arif Rahman Mangasi Sinurat Maria Magdalena Lumban Tobing Mhd Ridho Akbar Lubis Michael Cittaro Mierna Zulkarnain Muhammad Shiddiq Syahroni Muya Syaroh Iwanda Ngatemin Ngatemin Ngatno Sahputra Ngatno Saputra Nilawati Nilawati Putrinta Surbakti Rabitha, Nurul Rahim, Rani Rahman, Muhammad Arif Rahmat Darmawan Rakhmawati Purba Ramadani, Anisa Fitri Rani Rahim Ranti Gatrizka Putri Riswandi, Sofi Roni Nasution Rumiris Siahaan Sahnan Rangkuti Sarah Nasution Sinaga, Kariaman Sopang, Fandi Iksandar suardi suardi Syamsurizal Syamsurizal Syamsurizal Syamsurizal syauqi, teuku Tampubolon, Ayu Azari Victor Victor Yaumi Arfah Noor Arneta Yusak Maryunianta Zhaki, Ahmad Zulkarnaen, Mierna