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Facing Global Dynamics with Effective Strategy: A Tasted Organizational Change Management Approach Ronal Aprianto; Chandra Lukita; Asep Sutarman; Richard Andre Sunarjo; Rifqa Nabila Muti; Ellen Dolan
International Journal of Cyber and IT Service Management Vol. 5 No. 1 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.177

Abstract

In an era of rapid globalization and digital transformation, organizations must adopt adaptive strategies to navigate complex market shifts. This study explores a tested Organizational Change Management (OCM) approach to enhance business resilience and sustainability. Using a quantitative research methodology, we conducted a structured survey involving 200 business executives across various industries to analyze the effectiveness of strategic OCM models. The results indicate that organizations implementing structured OCM frameworks experience a 35% increase in operational efficiency, a 28% improvement in employee adaptability, and a 40% reduction in resistance to change. Our study introduces a novel hybrid model, integrating Kotters Change Model with Agile methodologies, ensuring a balance between structured change and adaptive flexlibility. The findings contribute to existing literature by demonstrating how real time data driven decision making enhances the success rate of organizational transformations. This research provides valuable insights for business leaders and policymakers in aligning corporate strategies with global market dynamics, fostering innovation, and maintaining competitive advantages.
Harnessing Artificial Intelligence in Higher Education: Balancing Innovation and Ethical Challenges Ronal Aprianto; Etty Puji Lestari; Sadan; Eamon Fletcher
International Transactions on Education Technology (ITEE) Vol. 3 No. 1 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v3i1.680

Abstract

The development of Artificial Intelligence (AI) in higher education has created new opportunities while presenting major challenges. This research aims to explore the impact of AI on higher education, both in terms of benefits and risks that may arise in the future. AI has opened up opportunities to personalize learning experiences, automate administrative processes, and support innovation in curriculum development, potentially improving educational effectiveness. However, there are also concerns regarding the digital divide, data privacy, ethical considerations, and the readiness of educators and institutions to deal with these technological changes. This research uses a literature review approach by analyzing current research on AI implementation in higher education institutions. It also compares case studies from several developed and developing countries to gain a broader picture of the global influence of AI in the education sector. The results show that while AI can have a positive impact in terms of more efficient learning and more effective operations, challenges in terms of equitable access and transparency must be addressed. The novelty of this research lies in the comprehensive analysis of the long-term implications of AI on higher education, as well as the strategies that institutions need to implement to maximize the benefits of AI and minimize the risks. This research makes an important contribution to education stakeholders in understanding the importance of responsible AI adoption to create an inclusive and sustainable educational environment.