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Home⇛JPAIR Multidisciplinary Research Journal⇛vol. 59 no. 1 (2025)

An Interdisciplinary Analysis Focused on Social Sciences: A Literature Review

Aida Mehrad | Mohammad Hossein Tahriri Zangeneh | Meriem Bouzedif | Neema George Rweramila

Discipline: social sciences (non-specific)

 

Abstract:

This literature paper summarizes five studies conducted by Mehrad et al. in 2024. These studies integrate cutting-edge findings from reverse logistics, sustainable operations, educational psychology, and qualitative analysis based on artificial intelligence (AI). The framework addresses current issues impacting business, education, and technology. The aim of this paper is to show a combination of different approaches in one study and its efficiency. According to these five studies, implementing sustainability, engaging stakeholders, and developing localized strategies are crucial for organizations like e-commerce platforms. These strategies help meet legal and cultural requirements while enhancing organizational effectiveness and environmental responsibility. Besides using these ideas in the educational domain, approaches from psychological science emphasize the importance of interventions to succeed and develop holistically. Combining Executive Function skills, Emotional Health, and Motivation leads to improved learning outcomes and fairness in the teaching-learning process. Generally, this multidisciplinary literature review offers practical guidance for businesses, educational institutions, and policymakers by thematically connecting sustainability, artificial intelligence, and psychological perspectives. These recommendations, rooted in resilience, innovation, and equity, aim to inspire and motivate better practices across various organizational and societal contexts. In addition, this study motivates all scholars to widen the view of their investigations and have global research connections to provide better knowledge for current and future scholars, which will happen by designing accurate study and teaching structures. And in fact, it is a kind of innovation in the research industry.



References:

  1. Areiza-Padilla, J. A., & Manzi Puertas, M. A. (2021). Conspicuous consumption in emerging markets: The case of Starbucks in Colombia as a global and sustainable brand. Frontiers in Psychology, 12, 662950.
  2. Benton, T., & Craib, I. (2023). Philosophy of social science: The philosophical foundations of social thought. Bloomsbury Publishing.
  3. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994.
  4. Kasperiuniene, J. (2021). The Use of Artificial Intelligence in Social Research: Multidisciplinary Challenges. In Computer Supported Qualitative Research: New Trends in Qualitative Research (WCQR2021) 5 (pp. 312-324). Springer International Publishing.
  5. Mehrad, A., Adiewere, F. C., Bouzedif, M., & Rweramila, N. G. (2024). A Case Study of Starbucks in Spain: Sustainable Operations Management. European Journal of Management Issues, 32(3), 139-145.
  6. Mehrad, A., Bouzedif, M., & George Rweramila, N. (2024). Integrating Psychology, Cognitive, and Behavioral Science in the Concept of Education and Student Success in the Educational System. Tuijin Jishu/Journal of Propulsion Technology. 45(3). 4127-4144.
  7. Mehrad, A., Bouzedif, M., Kodithuwakku, T. K., George, N., Rweramila, S. E. H., & Cheraghsepehr, M. (2023). Managing Educational Stress and Coping with Conflicts Among Undergraduate. Jurnal Pendidikan, 11(04), 146-165.
  8. Mehrad, A., Maharaj, B. P., Bouzedif, M., & Rweramila, N. G. (2024). A Qualitative Approach to Reverse Logistics in the Retail E-commerce Sector in Barcelona, Spain. European Journal of Management Issues, 32(2), 67-74.
  9. Mehrad, A., Tahriri Zangeneh, MH; Bouzedif, M., & George Rweramila, N; & Boutament, H. (2024). Qualitative Methods in Statistics and Methodology: Artificial Intelligence (AI). Journal of Advanced Studies in Social Sciences. 2(2), 12-25.
  10. Mohseni, S., Zarei, N., & Ragan, E. D. (2021). A multidisciplinary survey and framework for design and evaluation of explainable AI systems. ACM Transactions on Interactive Intelligent Systems (TiiS), 11(3-4), 1-45.

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