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:
- 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.
- Benton, T., & Craib, I. (2023). Philosophy of social science: The philosophical foundations of social thought. Bloomsbury Publishing.
- 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.
- 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.
- 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. https://doi.org/10.15421/192411
- 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. https://doi.org/10.52783/tjjpt.v45.i03.7942
- 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.
- 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. https://doi.org/10.15421/192406
- 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.
- 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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