Journal of Primeasia

Integrative Disciplinary Research | Online ISSN 3064-9870 | Print ISSN 3069-4353
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Bridging Corporate Social Responsibility, Sustainable Supply Chain Management, and Big Data Analytics: A HumanCentred Synthesis from Systematic Review and MetaAnalysis

Abstract 1. Introduction 2. Materials and Methods 3. Results 4. Discussion 5. Limitations 6. Conclusion Author Contributions Acknowledgements References

Shipon Chandra Barman 1*, Md. Rezaul Haque 2

+ Author Affiliations

Journal of Primeasia 7 (1) 1-8 https://doi.org/10.25163/primeasia.7110834

Submitted: 23 July 2026 Revised: 14 September 2026  Accepted: 24 September 2026  Published: 26 September 2026 


Abstract

In the contemporary business environment, organizations are increasingly evaluated not only on financial performance but also on their environmental and social responsibility. This systematic review and meta-analysis synthesizes empirical evidence on the interplay between Corporate Social Responsibility (CSR), Sustainable Supply Chain Management (SSCM), and Big Data Analytics Capabilities (BDAC). The study demonstrates that CSR—both internal and external—acts as a foundational driver for sustainability-oriented organizational behaviors, fostering employee engagement, ethical operations, and stakeholder trust. SSCM operationalizes these sustainability principles across complex supply networks, integrating environmental management, operational efficiency, and collaborative supply chain practices. Meanwhile, BDAC serves as a critical enabler, transforming vast, heterogeneous data into actionable insights that improve operational, environmental, and financial performance. Findings from the meta-analysis indicate that organizations leveraging BDAC alongside SSCM practices exhibit significantly higher environmental and operational performance, highlighting the mediating role of data-driven decision-making in sustainable management. Furthermore, the review underscores the importance of organizational readiness, cultural alignment, and strategic resource allocation in translating sustainability initiatives into measurable outcomes. This study contributes to the literature by providing a comprehensive, human-centered understanding of how CSR, SSCM, and BDAC collectively enhance firm performance while addressing global sustainability challenges. The implications are relevant for managers, policymakers, and researchers seeking to integrate ethical, ecological, and technological considerations into strategic decision-making, ultimately fostering resilient, adaptive, and socially responsible organizations.

Keywords: Corporate Social Responsibility, Sustainable Supply Chain Management, Big Data Analytics, Organizational Performance, Environmental Sustainability, Meta-Analysis

References

 

Abeysekera, A. P., & Fernando, C. S. (2020). Corporate social responsibility versus corporate shareholder responsibility: A family firm perspective. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2018.05.003           

Agbedahin, A. V. (2019). Sustainable development, education for sustainable development, and the 2030 Agenda for Sustainable Development: Emergence, efficacy, eminence, and future. Sustainable Development. https://doi.org/10.1002/sd.1931   

Álvarez Jaramillo, J., Zartha Sossa, J. W., & Orozco Mendoza, G. L. (2019). Barriers to sustainability for small and medium enterprises in the framework of sustainable development-Literature review. Business Strategy and the Environment. https://doi.org/10.1002/bse.2261        

Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2017.04.001          

Barreto, I. (2010). Dynamic capabilities: A review of past research and an agenda for the future. Journal of Management. https://doi.org/10.1177/0149206309350776   

Benzidia, S., Makaoui, N., & Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2020.120557              

Das, D. (2017). Development and validation of a scale for measuring sustainable supply chain management practices and performance. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2017.07.006  

Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2016). The impact of big data on world class sustainable manufacturing. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-015-7674-1       

Glavas, A. (2016). Corporate social responsibility and organizational psychology: An integrative review. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2016.00144        

Hasan, I., Kobeissi, N., Liu, L., & Wang, H. (2018). Corporate Social Responsibility and firm financial performance: The mediating role of productivity. Journal of Business Ethics. https://doi.org/10.1007/s10551-016-3066-1

Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2014.04.018       

Ilyas, S., Hu, Z., & Wiwattanakornwong, K. (2020). Unleashing the role of top management and government support in green supply chain management and sustainable Development Goals. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-019-07268-3  

Joardar, A., & Sarkis, J. (2021). An examination of sustainable development of supply chain using foreignness perspective. Business Strategy and the Environment. https://doi.org/10.1002/bse.2643

Khan, A., Tao, M., Ahmad, H., Shafique, M. N., & Nawaz, M. Z. (2020). Revisiting green supply chain management practices: The mediating role of emotional intelligence. SAGE Open. https://doi.org/10.1177/2158244020914637    

Khan, S. A. R., & Qianli, D. (2017). Impact of green supply chain management practices on firms' performance: An empirical study from the perspective of Pakistan. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-017-9172-5       

Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019a). Big data analytics and firm performance: Findings from a mixed method approach. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.01.044        

Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019b). Configurations of big data analytics for firm performance: An fsQCA approach. AMCIS 2019 Proceedings.

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems. https://doi.org/10.1186/2047-2501-2-3             

Rajesh, R. (2020). Sustainable supply chains in the Indian context: An integrative decision making model. Technology in Society. https://doi.org/10.1016/j.techsoc.2020.101230

Samad, S., Nilashi, M., Almulihi, A., Alrizq, M., Alghamdi, A., Mohd, S., Ahmadi, H., & Syed Azhar, S. N. F. (2021). Green supply chain management practices and impact on firm performance: The moderating effect of collaborative capability. Technology in Society. https://doi.org/10.1016/j.techsoc.2021.101766

Sebastianelli, R., & Tamimi, N. (2020). Antecedents of sustainable supply chain initiatives: Empirical evidence from the S&P 500. Business and Society Review. https://doi.org/10.1111/basr.12191

Seuring, S., Sarkis, J., Müller, M., & Rao, P. (2008). Sustainability and supply chain management-An introduction to the special issue. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2008.02.002

Shahbaz, M., Gao, C., Zhai, L., Shahzad, F., & Khan, I. (2021). Environmental air pollution management system: Predicting user adoption behavior of big data analytics. Technology in Society. https://doi.org/10.1016/j.techsoc.2020.101473

Shahzad, F., Du, J., Khan, I., Shahbaz, M., & Murad, M. (2020). Untangling the influence of organizational compatibility on green supply chain management efforts to boost organizational performance through information technology capabilities. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.122029            

Shahzad, M., Qu, Y., Javed, S. A., Zafar, A. U., & Rehman, S. U. (2020). Relation of environment sustainability to CSR and green innovation: A case of Pakistani manufacturing industry. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.119938 

Soltany, Z., Rostamzadeh, R., & Skrickij, V. (2018). A model to evaluate supply chain technology implementation influence on organizational performance. Transport. https://doi.org/10.3846/transport.2018.5468           

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z          

Tiwari, S., Wee, H. M., & Daryanto, Y. (2018). Big data analytics in supply chain management between 2010 and 2016: Insights to industries. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2017.11.017  

Vachon, S., & Mao, Z. (2008). Linking supply chain strength to sustainable development: A country level analysis. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2008.04.012             

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2016.08.009

Wang, C., Zhang, Q., & Zhang, W. (2020). Corporate social responsibility, green supply chain management and firm performance: The moderating role of big data analytics capability. Research in Transportation Business & Management. https://doi.org/10.1016/j.rtbm.2020.100557    

Wissuwa, F., & Durach, C. F. (2021). Turning German automotive supply chains into sponsors for sustainability. Production Planning & Control. https://doi.org/10.1080/09537287.2021.1893405      

Yan, N., Sun, B., Zhang, H., & Liu, C. (2016). A partial credit guarantee contract in a capital constrained supply chain: Financing equilibrium and coordinating strategy. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2015.12.005        

Zailani, S., Jeyaraman, K., Vengadasan, G., & Premkumar, R. (2012). Sustainable supply chain management (SSCM) in Malaysia: A survey. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2012.02.008    

Zhu, C., Du, J., Shahzad, F., & Wattoo, M. U. (2022). Environment Sustainability Is a Corporate Social Responsibility: Measuring the Nexus between Sustainable Supply Chain Management, Big Data Analytics Capabilities, and Organizational Performance. Sustainability, 14(6), 3379. https://doi.org/10.3390/su14063379

Zhu, Q., Liu, J., & Lai, K. H. (2016). Corporate social responsibility practices and performance improvement among Chinese national state owned enterprises. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2015.08.005       


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