فرهاد رحمتیان

This research explores how Iranian MBA students view artificial intelligence as a driver of change in global power structures. Using a mixed-methods design, it combines survey results from 394 respondents with thematic analysis of open-ended answers. The quantitative data indicate a widespread belief that AI will hasten the decline of established global powers, widen global disparities, and offer emerging economies chances for geopolitical advantage. Qualitative themes include AI as a soft power tool, concerns over technological dependence, entrepreneurial optimism, and regulatory inadequacy. The analysis situates participants’ views within broader theoretical frameworks articulated by Innis, McLuhan, Castells, and Toffler, emphasizing AI’s capacity to redefine sovereignty, governance, and economic competitiveness. Statistical tests highlight how demographic variables, such as employment sector and academic status, significantly influence attitudes toward AI’s disruptive potential. These results underline both the optimism and anxiety among future business leaders regarding Iran’s capacity to harness AI’s transformative possibilities amidst structural and regulatory challenges.

Education plays a pivotal role in shaping successful business management, serving as both an ethical imperative and a strategic advantage. This article argues that investing in the education of personnel is not merely a moral responsibility but a key driver of organizational success. Educated employees contribute to higher brand value, operational efficiency, mental health, media literacy, and physical well-being, all of which synergistically enhance business outcomes. Businesses that prioritize the continuous learning and development of their workforce foster a culture of innovation, resilience, and adaptability, crucial in today’s competitive and fast-evolving markets. Furthermore, well-educated employees are better equipped to handle complex challenges, leverage technology, and uphold organizational values, thereby strengthening both internal processes and external reputation. Beyond the immediate benefits, such investments signal a company’s commitment to social responsibility, fostering loyalty among employees and stakeholders alike. This article emphasizes the multidimensional benefits of prioritizing education in business strategy and highlights practical approaches for integrating educational initiatives into corporate frameworks.

The integration of artificial intelligence into Master of Business Administration (MBA) education is reshaping the foundations of management learning worldwide. This study conducts a qualitative meta-synthesis of 17 peer-reviewed sources published between 2001 and 2021 to examine how AI technologies—ranging from generative models and adaptive learning systems to predictive analytics and federated learning—are influencing MBA curricula, pedagogy, student engagement, and institutional strategies. Findings reveal that AI holds transformative potential for enhancing personalization, academic performance, and curriculum relevance, while also addressing enrollment challenges and labor market misalignments. However, integration remains uneven and fraught with ethical, infrastructural, and pedagogical challenges, including concerns over academic integrity, faculty preparedness, and digital equity. Conceptual frameworks such as the Technology Acceptance Model (TAM), paradox theory, and interpretive structural modeling elucidate the enabling and constraining factors surrounding AI adoption. The study highlights the urgent need for business schools to pursue a holistic and ethically grounded AI strategy that balances technological innovation with humanistic leadership development. Ultimately, AI is not only redefining how MBAs are delivered, but also reorienting their purpose toward preparing future-ready leaders for complex, data-driven environments. The paper concludes with a call for adaptive, inclusive, and ethically sound educational reforms in MBA programs worldwide.

This study explores the perceptions of Iranian MBA graduates regarding the integration of AI into business education. Drawing on survey data from 379 alumni across a range of Iranian universities, the research assesses five core dimensions: perceived usefulness of AI, ethical concerns, faculty preparedness, job market implications, and interest in AI-focused coursework. The study also investigates whether demographic factors such as age, gender, income level, and marital status significantly influence these perceptions. Results indicate a generally favorable view of AI integration, with particularly strong support for incorporating AI coursework into MBA programs. Despite broad enthusiasm, respondents expressed concerns about data privacy, algorithmic bias, and the limited readiness of faculty to teach AI-related content. Inferential tests and path analysis reveal that demographic variables had little predictive power over AI perceptions or preferences, suggesting widespread acceptance across social strata. The findings underscore both the readiness of Iranian MBA graduates for AI-related curricular reform and the need for targeted institutional responses, including faculty development and ethical frameworks.