The oil and gas industry are increasingly under pressure to prioritize Corporate Social Responsibility (CSR) due to heightened environmental concerns, social scrutiny, and evolving regulatory demands. Big Data Analytics (BDA) presents a transformative opportunity to enhance CSR performance within this sector. This study investigates how BDA can improve CSR outcomes in the oil and gas industry, focusing on three key areas: environmental sustainability, social impact, and governance. By leveraging large datasets to uncover patterns, BDA can aid companies in refining their CSR strategies, forecasting and managing risks, and measuring impact more effectively. The study made use of a panel dataset containing total assets of ten years, as well as measurements based on accounting on investments, financial performance, and activity disclosures. The findings reveal that multinational corporations operating in developing countries pay considerable attention to various critical aspects of their CSR policies. Notably, there was a significant positive correlation between the sustainability of financial performance and investments in CSR practices. However, no significant correlation was found between CSR disclosure and financial performance (p = 0.792373 > 0.05). The report concludes by providing empirical evidence supporting the hypothesis that effective CSR practices lead to long-term financial benefits for multinational oil and gas companies. Such practices are beneficial for poverty reduction programs and are crucial for achieving sustainable development goals in emerging economies where these companies operate.
| Published in | American Journal of Operations Management and Information Systems (Volume 9, Issue 4) |
| DOI | 10.11648/j.ajomis.20240904.11 |
| Page(s) | 69-78 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Big Data Analytics, Corporate Social Responsibility (CSR), Decision-making, Oil and Gas Sector, Oil Producing Communities
| [1] | A. O. Adeaga, O. O. Alabi, and S. A. Akintola, “Experimental investigation of the potential of liquified petroleum gas in vapour compression refrigeration system.,” LAUTECH J. Eng. Technol., vol. 17, no. 1, pp. 1–7, 2003, |
| [2] | L. Sideri, “Leveraging csr for sustainability: Assessing performance implications of sustainability reporting in a national business system,” Sustain., vol. 13, no. 11, 2021, |
| [3] | O. O. Alabi, G. O. Ogunsiji, and S. A. Dada, “Performances Evaluation of Blended Alternative Refrigerant In Vapour Compression Refrigeration System,” vol. 8, no. 2, pp. 228–234, 2023, [Online]. Available: |
| [4] | L. Diependaele, “ENVIRONMENTAL RISK DISCLOSURE : A CASE STUDY FOR OIL AND GAS COMPANIES IN,” pp. 2020–2021, 2021. |
| [5] | O. O. Alabi, O. J. Gbadeyan, A. Bala, G. O. Ogunsiji, and N. Deenadayalu, “Study of Combustion Characteristics of Diesel-Vegetable Oil Blends Utilizing an Industrial Fuel Burner,” Fuel Commun., 2023, |
| [6] | O. O. Alabi, F. O. Ogunwoye, O. J. Gbadeyan, A. O. Fasina, and N. Deenadayalu, “Exploring the impact of diesel-vegetable oil blends as an alternative fuel in combustion chambers,” Biofuels, vol. 0, no. 0, pp. 1–8, 2024, |
| [7] | S. Airemen, I. Olushiyan, and O. O. Alabi, “The use of AI and ML to improve the resilience of cloud systems.,” vol. 11, no. 1, 2024. |
| [8] | R. T. Munodawafa and S. K. Johl, “Big data analytics capabilities and eco-innovation: A study of energy companies,” Sustain., vol. 11, no. 15, 2019, |
| [9] | Å. Lindman, H. Ranängen, and O. Kauppila, “Guiding corporate social responsibility practice for social license to operate: A Nordic mining perspective,” Extr. Ind. Soc., vol. 7, no. 3, pp. 892–907, 2020, |
| [10] | N. F. Shayan, N. Mohabbati-Kalejahi, S. Alavi, and M. A. Zahed, “Sustainable Development Goals (SDGs) as a Framework for Corporate Social Responsibility (CSR),” Sustain., vol. 14, no. 3, pp. 1–27, 2022, |
| [11] | W. E. Herbert, I. A. Nwaorgu, F. Onyilo, and J. A. Iormbagah, “Sustainability Reporting and Performance of Listed Upstream Oil and Gas Firms in Nigeria: A Content Evaluation Approach,” Int. J. Appl. Econ. Financ. Account., vol. 8, no. 1, pp. 46–61, 2020, |
| [12] | A. Mostepaniuk, E. Nasr, R. I. Awwad, S. Hamdan, and H. Y. Aljuhmani, “Managing a Relationship between Corporate Social Responsibility and Sustainability: A Systematic Review,” Sustain., vol. 14, no. 18, pp. 1–23, 2022, |
| [13] | F. Ismael and M. Yesiltas, “Sustainability of CSR on organizational citizenship behavior, work engagement and job satisfaction: Evidence from Iraq,” Rev. Cercet. si Interv. Soc., vol. 71, pp. 212–249, 2020, |
| [14] | R. H. Chowdhury, S. Choi, S. Ennis, and D. Chung, “Which Dimension of Corporate Social Responsibility is a Value Driver in the Oil and Gas Industry?,” Can. J. Adm. Sci., vol. 36, no. 2, pp. 260–272, 2019, |
| [15] | P. P. Van de Wijs and C. Van der Lugt, “SUSTAINABILITY REPORTING POLICY: Global trends in disclosure as the ESG agenda goes mainstream. Global Reporting Initiative (GRI) and the University of Stellenbosch Business School (USB). July,” 2020. |
| [16] | Z. He, L. Kuai, and J. Wang, “Driving mechanism model of enterprise green strategy evolution under digital technology empowerment: A case study based on Zhejiang Enterprises,” Bus. Strateg. Environ., vol. 32, no. 1, pp. 408–429, 2023, |
| [17] | M. Pazienza, M. de Jong, and D. Schoenmaker, “Clarifying the Concept of Corporate Sustainability and Providing Convergence for Its Definition,” Sustain., vol. 14, no. 13, 2022, |
| [18] | E. M. Sánchez-Teba, M. D. Benítez-Márquez, G. Bermúdez-González, and M. D. M. Luna-Pereira, “Mapping the knowledge of csr and sustainability,” Sustain., vol. 13, no. 18, 2021, |
| [19] | A. S. Gutterman, “Sustainability Reporting Frameworks, Standards, Instruments, and Regulations,” SSRN Electron. J., no. April, 2024, [Online]. Available: |
| [20] | A. D. ; G. S. Adomako, Assunta Di Vaio; Luisa Varriale, “Corporate social performance and non-financial reporting in the cruise industry: Paving the way towards UN Agenda 2030.” 2022. |
| [21] | M. Ashrafi, G. M. Magnan, M. Adams, and T. R. Walker, “Understanding the conceptual evolutionary path and theoretical underpinnings of corporate social responsibility and corporate sustainability,” Sustain., vol. 12, no. 3, 2020, |
| [22] | S. Yadav, T. M. Choi, A. Kumar, S. Luthra, and F. Naz, “A meta-analysis of sustainable supply chain practices and performance: the moderating roles of type of economy and innovation,” Int. J. Oper. Prod. Manag., vol. 43, no. 5, pp. 802–845, 2023, |
| [23] | E. Stawicka, “Sustainable development in the digital age of entrepreneurship,” Sustain., vol. 13, no. 8, 2021, |
| [24] | O. A. Nwobu, C. Ngwakwe, A. Owolabi, and K. Adeyemo, “An assessment of sustainability disclosures in oil and gas listed companies in Nigeria,” Int. J. Energy Econ. Policy, vol. 11, no. 4, pp. 352–361, 2021, |
| [25] | A. T. Gyane, E. K. Nunoo, S. Suleman, and J. Essandoh-Yeddu, “Sustaining oil and gas multinational operations through corporate social responsibility practices,” Discov. Sustain., vol. 2, no. 1, 2021, |
| [26] | S. Du and E. T. Vieira, “Striving for Legitimacy Through Corporate Social Responsibility: Insights from Oil Companies,” J. Bus. Ethics, vol. 110, no. 4, pp. 413–427, 2012, |
| [27] | A. Duttagupta, M. Islam, E. R. Hosseinabad, M. Adib, and U. Zaman, “Corporate Social Responsibility And Sustainability: A Perspective From The Oil And Gas Industry,” J. Nature, Sci. Technol., vol. 1, no. 2, pp. 22–29, 2021, |
| [28] | Z. Tang, C. E. Hull, and S. Rothenberg, “How Corporate Social Responsibility Engagement Strategy Moderates the CSR-Financial Performance Relationship,” J. Manag. Stud., vol. 49, no. 7, pp. 1274–1303, 2012, |
| [29] | I. Tandoh, K. A. Duffour, M. Essandoh, and R. N. Amoako, “Corporate Governance, Corporate Social Responsibility and Corporate Sustainability: the Moderating Role of Top Management Commitment,” Int. J. Prof. Bus. Rev., vol. 7, no. 2, pp. 1–27, 2022, |
| [30] | J. G. Frynas, “Corporate social responsibility in the oil and gas sector,” J. World Energy Law Bus., vol. 2, no. 3, pp. 178–195, 2020, |
| [31] | J. L. Hayes, S. Holiday, and H. Park, “Corporate social responsibility & the advertising strategic planning process: a literature review & research agenda,” Int. J. Advert., vol. 41, no. 2, pp. 210–232, 2022, |
| [32] | G. Payne, A. Blanco-González, G. Miotto, and C. del-Castillo, “Consumer Ethicality Perception and Legitimacy: Competitive Advantages in COVID-19 Crisis,” Am. Behav. Sci., 2021, |
| [33] | A. Okeke, “Towards sustainability in the global oil and gas industry: Identifying where the emphasis lies,” Environ. Sustain. Indic., vol. 12, p. 100145, 2021, |
| [34] | E. Raufflet, L. B. Cruz, and L. Bres, “An assessment of corporate social responsibility practices in the mining and oil and gas industries,” J. Clean. Prod., vol. 84, no. 1, pp. 256–270, 2014, |
| [35] | I. Goloshchapova, S. H. Poon, M. Pritchard, and P. Reed, “Corporate social responsibility reports: topic analysis and big data approach,” Eur. J. Financ., vol. 25, no. 17, pp. 1637–1654, 2019, |
| [36] | S. B. Park, “Bringing strategy back in: Corporate sustainability and firm performance,” J. Clean. Prod., vol. 388, no. November 2022, p. 136012, 2023, |
APA Style
Alabi, O. O., –Balogun, O. T. A., Airemen, S., Fasina, A. O. (2024). Exploring the Potential of Big Data Analytics in Enhancing CSR in the Oil and Gas Industry. American Journal of Operations Management and Information Systems, 9(4), 69-78. https://doi.org/10.11648/j.ajomis.20240904.11
ACS Style
Alabi, O. O.; –Balogun, O. T. A.; Airemen, S.; Fasina, A. O. Exploring the Potential of Big Data Analytics in Enhancing CSR in the Oil and Gas Industry. Am. J. Oper. Manag. Inf. Syst. 2024, 9(4), 69-78. doi: 10.11648/j.ajomis.20240904.11
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Download@article{10.11648/j.ajomis.20240904.11,
author = {Oluwaseyi Omotayo Alabi and Oyeyemi Tawakalitu Aforolagba –Balogun and Solomon Airemen and Ayotunde Oluwaseun Fasina},
title = {Exploring the Potential of Big Data Analytics in Enhancing CSR in the Oil and Gas Industry
},
journal = {American Journal of Operations Management and Information Systems},
volume = {9},
number = {4},
pages = {69-78},
doi = {10.11648/j.ajomis.20240904.11},
url = {https://doi.org/10.11648/j.ajomis.20240904.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20240904.11},
abstract = {The oil and gas industry are increasingly under pressure to prioritize Corporate Social Responsibility (CSR) due to heightened environmental concerns, social scrutiny, and evolving regulatory demands. Big Data Analytics (BDA) presents a transformative opportunity to enhance CSR performance within this sector. This study investigates how BDA can improve CSR outcomes in the oil and gas industry, focusing on three key areas: environmental sustainability, social impact, and governance. By leveraging large datasets to uncover patterns, BDA can aid companies in refining their CSR strategies, forecasting and managing risks, and measuring impact more effectively. The study made use of a panel dataset containing total assets of ten years, as well as measurements based on accounting on investments, financial performance, and activity disclosures. The findings reveal that multinational corporations operating in developing countries pay considerable attention to various critical aspects of their CSR policies. Notably, there was a significant positive correlation between the sustainability of financial performance and investments in CSR practices. However, no significant correlation was found between CSR disclosure and financial performance (p = 0.792373 > 0.05). The report concludes by providing empirical evidence supporting the hypothesis that effective CSR practices lead to long-term financial benefits for multinational oil and gas companies. Such practices are beneficial for poverty reduction programs and are crucial for achieving sustainable development goals in emerging economies where these companies operate.
},
year = {2024}
}
TY - JOUR T1 - Exploring the Potential of Big Data Analytics in Enhancing CSR in the Oil and Gas Industry AU - Oluwaseyi Omotayo Alabi AU - Oyeyemi Tawakalitu Aforolagba –Balogun AU - Solomon Airemen AU - Ayotunde Oluwaseun Fasina Y1 - 2024/12/13 PY - 2024 N1 - https://doi.org/10.11648/j.ajomis.20240904.11 DO - 10.11648/j.ajomis.20240904.11 T2 - American Journal of Operations Management and Information Systems JF - American Journal of Operations Management and Information Systems JO - American Journal of Operations Management and Information Systems SP - 69 EP - 78 PB - Science Publishing Group SN - 2578-8310 UR - https://doi.org/10.11648/j.ajomis.20240904.11 AB - The oil and gas industry are increasingly under pressure to prioritize Corporate Social Responsibility (CSR) due to heightened environmental concerns, social scrutiny, and evolving regulatory demands. Big Data Analytics (BDA) presents a transformative opportunity to enhance CSR performance within this sector. This study investigates how BDA can improve CSR outcomes in the oil and gas industry, focusing on three key areas: environmental sustainability, social impact, and governance. By leveraging large datasets to uncover patterns, BDA can aid companies in refining their CSR strategies, forecasting and managing risks, and measuring impact more effectively. The study made use of a panel dataset containing total assets of ten years, as well as measurements based on accounting on investments, financial performance, and activity disclosures. The findings reveal that multinational corporations operating in developing countries pay considerable attention to various critical aspects of their CSR policies. Notably, there was a significant positive correlation between the sustainability of financial performance and investments in CSR practices. However, no significant correlation was found between CSR disclosure and financial performance (p = 0.792373 > 0.05). The report concludes by providing empirical evidence supporting the hypothesis that effective CSR practices lead to long-term financial benefits for multinational oil and gas companies. Such practices are beneficial for poverty reduction programs and are crucial for achieving sustainable development goals in emerging economies where these companies operate. VL - 9 IS - 4 ER -
Department of Mechanical Engineering, Lead City University, Ibadan, Nigeria
Department of Mechanical Engineering, Lead City University, Ibadan, Nigeria
Department of Operations and Production Management, University of Lagos, Lagos, Nigeria
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