THE FUTURE IMPACT OF ARTIFICIAL INTELLIGENCE AND DIGITAL TRANSFORMATION ON ORGANIZATIONAL CULTURE: GLOBAL PERSPECTIVES WITH EVIDENCE FROM THE MIDDLE EAST AND GULF STATES
Aug 2026· World Journal of Advanced Research and Reviews· 0 citations
TL;DR
The study concludes that cultural transformation is not a by-product but a prerequisite of successful AI integration, and that change capacity, trust, and inclusive leadership are decisive.
Abstract
This study examines how artificial intelligence (AI) and digital transformation are reshaping organizational culture, with particular attention to the Middle East and the Gulf Cooperation Council (GCC) states, where state-led national visions have accelerated adoption. The objective is to identify the cultural mechanisms—values, leadership paradigms, trust, and ways of working—through which AI functions as both a catalyst and a conduit for adaptive change, and to assess how these mechanisms are expressed in a region undergoing rapid, top-down and bottom-up digitalization. Methodologically, the paper adopts an integrative review and synthesis design, combining a structured review of peer-reviewed literature (2021–2026) with documentary analysis of national AI strategies and regional human-capital and CEO surveys covering Saudi Arabia, the United Arab Emirates (UAE), Qatar, Bahrain, Kuwait, and Oman. Evidence is organized within a socio-technical framework linking AI drivers to cultural mediators and organizational outcomes. Results indicate that AI adoption is associated with measurable shifts toward data-driven decision-making, agile and learning-oriented norms, and a heightened salience of ethics and governance, while regional evidence shows exceptionally high workforce engagement—only 6–7% of employees in Saudi Arabia and the UAE never use AI at work, versus 23% globally—and a strong upskilling appetite. Persistent tensions include skills shortages, uneven scaling beyond pilots, and the need to reconcile automation with human-centric values and workforce nationalization. The study concludes that cultural transformation is not a by-product but a prerequisite of successful AI integration, and that change capacity, trust, and inclusive leadership are decisive. The paper offers a consolidated framework and a regionally grounded evidence base for leaders steering culture through the AI transition.
This research aims to explore the complex interrelations between Digital Transformational Leadership (DTL), Digitalization of HR Practices (DHRP), Organizational Agility (OA), and their effects on Firm Performance (FP). In modern business environment, where technological shifts are extremely intense and driven by the application of artificial intelligence, cloud computing, and automation technologies, businesses need to move beyond their traditional management systems to survive in dynamic environment and to achieve a competitive advantage. This study, which is based on a multi-theoretical approach, namely combining the Dynamic Capabilities Theory (DCT), Transformational Leadership Theory (TLT) and the Resource-Based View (RBV), identifies digital leadership as one of the most important drivers of change that in turn “sets” technological opportunities into the “sensing” and “seizing” processes. In this context the digitalization of human resources practices and the agility of the organization can be seen as the "reconfiguration" required for change.
The method used in our research is quantitative research using descriptive, cross-sectional design. Structured questionnaire was used as a research instrument for data collection. This study was carried out with 394 research participants mainly from Gujarat from various industrial sectors of India. The research sample was predominantly from service sector (61.8%) and secondary sector (26.9%) which is a reliable sample to study a modern service and manufacturing economy. Data analysis used was Hierarchical Regression and Correlation Analysis.
The results of the empirical study show that the research model was able to explain a significant portion of the total variance in organizational performance by explaining 85.12% of it (Adjusted R^2 = 0.8512). More importantly, all predictor variables, DTL, DHRP, and OA were found to be statistically significant (p < .001), thus showing their importance to organizational performance. Additionally, Organizational Agility was the most important factor in organizational performance with highest regression coefficient (beta = 0.503) and correlation (r = 0.9084). It therefore implies that digital leadership and HR systems are indeed essential for the performance of an organization, but what really matters is its agility to figure out the market changes and realign the resources as per the market demands & requirements.
The research has significant practical implications for managers and offers a generic, industry independent guideline for digital transformation. Organizations are advised to think of HR technology as a tool to improve the organization and not as a means to eliminate repetitive tasks and let HR managers focus on value adding tasks like strategic workforce planning and talent management. Although the research is cross-sectional in design, it fills a gap in the research by empirically testing the combined effect of leadership, technology and agility on business success in the uncertain digital age.
Prachi Choithnani, Shashank Shekhar, Shail Shah et al.· International Journal For Mu...· 0 citations
Digitalisation has become one of the main forces reshaping Human Resource Management. This paper examines how Artificial Intelligence, erecruitment and HR Analytics are changing the way organisations attract, assess, develop and retain talent, with particular attention to the situation in Romania. Based on an integrative literature review of academic and institutional sources, the study analyses four key areas: the benefits and limitations of AI in HR decisionmaking, the impact of digital recruitment and online interviews on candidate experience, the factors influencing the adoption of HR Analytics, and approaches to reducing digital skills gaps while promoting inclusion. The findings indicate that these technologies can generate significant improvements in efficiency, speed and consistency. At the same time, they introduce notable risks – algorithmic bias, privacy concerns, perceived surveillance and the potential to widen inequalities when digital competencies vary widely. The paper argues that successful digital HRM in Romania goes well beyond the simple adoption of new technologies. Real progress depends on sound governance, effective human control, sustained investment in digital skills and genuine inclusion measures, all aligned with European standards.
Ionuț Drăgulescu, Daniel Danilov, Maria Dumitrache et al.· The Annals of the University...· 0 citations
This study addresses a governance problem often obscured by technology inventories: how an integrated Management Information System (MIS) serves as an institutional foundation for the emerging use of Artificial Intelligence (AI) in Islamic higher education governance. The literature has extensively examined MIS and AI as separate technologies, but provides less empirical explanation of what their integration changes in governance practice. This study therefore aims to examine (1) how MIS and AI are implemented and integrated at UIN Kiai Ageng Muhammad Besari Ponorogo, (2) how the integration contributes to institutional governance, and (3) what organizational and technological conditions enable or constrain the transition toward AI-supported governance. A qualitative case study was conducted using an in-depth interview with the Head of Information Technology and Database (TIPD), observation of digital services, and relevant institutional documentation. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña through data condensation, data display, and conclusion drawing, supported by source and technique triangulation and member checking. The findings show that MIS integration through SIAKAD, SIMPEG, SIMKEU, LMS, SISTER, E-Office, and Single Sign-On has created a more connected institutional information infrastructure. AI, however, remains in an emerging stage: an NLP-based chatbot is under development, while predictive analytics, academic success and dropout prediction, and the smart-campus concept are identified as developing or prospective applications rather than fully operational systems. The central empirical contribution is that AI’s governance value depends on the maturity of the underlying MIS infrastructure: integration enables information to move from fragmented administrative records toward a shared data environment in which AI can potentially support anticipatory analysis and decision-making. Thus, the transformation mechanism is better understood as infrastructure integration → data consolidation → analytical capability → governance decision support, rather than simple technology adoption. The study implies that Islamic higher education institutions should prioritize interoperable information infrastructure, responsible AI governance, and institutional capacity before scaling AI-supported decision-making.
M. F. Al Azhari, Hanh Dinh Thi My, Kholis Al Arifuttaqi et al.· Mapendis: Jurnal Manajemen P...· 0 citations
Digital transformation, together with the rapid growth of artificial intelligence (AI) and the increasing instability of the labor market, continues to have a significant influence on the way jobs are structured and has created greater uncertainty about long-term career sustainability. In this constantly changing environment, perceived employability (PE) has come to play a crucial role, as it represents how individuals perceive their capacity to secure and maintain employment, as well as the opportunities available to them in the job market. It also reflects expectations about future career prospects, including whether suitable opportunities exist in relation to their qualifications. However, a notable gap still exists in current theories explaining how PE is formed, particularly regarding how rapid technological change reshapes its core components and frame of reference. To address this gap, a systematic literature review (SLR) was conducted to provide a clearer understanding of the multilevel antecedents of perceived employability in the digital era. Following the PRISMA Guidelines, 106 Scopus-indexed articles published between 2005 and 2025 were analyzed. The findings demonstrated that perceived employability is shaped by a complex and interrelated set of antecedents operating at the individual, organizational, and external levels. At the individual level, key antecedents included career attitudes, psychological resources, competencies, and learning experiences. At the organizational level, important factors involved career management practices, access to training and development, job characteristics, and workplace support systems. External antecedents included labor market dynamics, broader socioeconomic conditions, and institutional reputation. Across these levels, digital transformation functioned as a cross-cutting contextual force shaping how these antecedents interact and evolve through digital skills, digital literacy, attitudes toward technology, and technology-related stress. Overall, this review provides an integrative foundation for future research while offering practical insights for organizations, universities, and policymakers seeking to strengthen employability in an increasingly digitalized labor market.
In an era characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), Multinational Enterprises
(MNEs) face unprecedented challenges in managing their global human capital. This review synthesizes recent literature from
2015 to 2026 to examine the evolving landscape of International Human Resource Management (IHRM). We explore how
MNEs navigate the tension between global integration and local responsiveness, particularly in the context of emerging market
multinationals (EMNEs), digital transformation, and geopolitical disruptions. Key themes include the strategic role of subsidiary
autonomy, the impact of artificial intelligence (AI) on global mobility, the influence of CEO narcissism and top management
team (TMT) diversity on radical innovation, and the critical importance of sustainability and social responsibility in HR
practices. By integrating insights from internalization theory, upper echelons theory, and institutional theory, this paper
proposes a holistic framework for understanding how people, culture, and performance are interconnected in the modern global
enterprise. We conclude with a forward-looking research agenda that emphasizes the need for inclusive, resilient, and
technologically adept IHRM strategies.
Kavya Bai, V. Suresh· International Journal for Re...· 0 citations
The findings show that the whole sociotechnical context is important in the digital transition, including adaptive leadership, continuous professional development, and more legal and moral oversight to ensure long-term success.
Abdul Rashid, Muhammad Aiman Zulkifli, Mohd Razilan Abdul Kadir· International journal of res...· 0 citations