Volume 2, Issue 1, No.5 PDF DOWNLOAD
  • Title:
  • Beyond compliance: How ESG dashboards enable strategic sustainability management in Nigerian organizations
  • Author:

    James T. Tsetim1*, Douglas K. Iortyom2, Collins N. Adi3, Michael Owoicho3, Iorwuese Tyonande3, Habib E. Enatto3

  • Author Affiliation:

    1Department of Procurement Management, Joseph Sarwuan Tarka University, Makurdi, Nigeria

    2Department of Business Administration, Joseph Sarwuan Tarka University, Makurdi, Nigeria

    3Department of Business Management, Benue State University, Makurdi, Nigeria

  • Received:Nov. 18, 2024
  • Accepted:Dec. 2, 2024
  • Published:Dec .13, 2024
Abstract

This study investigates the impact of ESG (Environmental, Social, and Governance) dashboards on sustainability management practices in Nigerian organizations, focusing on three key capabilities: Data Integration, Real-Time Monitoring and Responsiveness, and Predictive Analytics. The specific population consisted of 480 relevant personnel from organizations such as Dangote Cement, Access Bank, Nigerian Breweries, MTN Nigeria, and Oando PLC. A scientifically determined sample size of 218 respondents was drawn using Yamane’s (1967) formula, with proportional allocation across the five organizations. A total of 200 valid questionnaires were retrieved, achieving a response rate of 91.7%. Data were collected through a structured questionnaire designed to quantitatively assess the effectiveness of ESG dashboard capabilities in driving sustainability efforts beyond compliance. Regression analysis was employed to assess the relationship between the ESG dashboard capabilities and sustainability outcomes, with the results indicating that Real-Time Monitoring and Responsiveness had the most significant effect, followed by Data Integration and Predictive Analytics. Sector-specific findings suggest that industries such as telecommunications and financial services may benefit more from enhanced real-time monitoring, whereas sectors like cement manufacturing and oil & gas may focus more on predictive analytics and data integration. Finally, the study recommends future research to explore ESG dashboard adoption in other developing economies and investigate the long-term effects of these technologies on organizational sustainability.

Keywords

Data integration, real-time monitoring and responsiveness, predictive analytics, sustainability management, beyond compliance

References

[1]       Z. Khan, M. Haque, and S. Shah, Real-time data and responsiveness: Leveraging technology for sustainability in business operations,”Environmental Management and Sustainable Development, vol. 10(2), pp. 255-272, 2021.

[2]       C. J. C. Jabbour, F. C. A. Santos, and M. S. Nagano, Environmental management practices and sustainability in developing countries: The role of innovation and corporate sustainability,”Journal of Cleaner Production, vol. 248, pp. 119345, 2020.

[3]       G. Williams, L. Krause, and J. Choi, Data integration and predictive analytics: A new frontier in sustainable business practices,”Business Strategy and the Environment, vol. 30(2), pp. 1167-1179, 2021.

[4]       D. Wells, Sustainable business strategies for global markets: Insights from Unilever’s approach,”Business Strategy and the Environment, vol. 29(3), pp. 1282-1295, 2020.

[5]       C., Lin, Y., Wang, and J. Zhou, Real-time data and predictive analytics in sustainability management,”Sustainability, vol. 14(13), pp. 8012, 2022.

[6]       M. J. Epstein, Making Sustainability Work: Best Practices in Managing and Measuring Corporate Social, Environmental, and Economic Impacts. Oxford, UK:Routledge, 2018.

[7]       I. Montiel, and J. Delgado-Ceballos, Defining and measuring corporate sustainability: Are we there yet?Organization & Environment, vol. 7(2), pp. 113-139, 2014.

[8]       M. Khan, G. Serafeim, and A. Yoon, Corporate sustainability: First evidence on materiality,”The Accounting Review, vol. 4(6), pp. 1697-1724, 2021.

[9]       R. Sullivan, and A. Williams, The future of ESG reporting: Leveraging dashboards for enhanced transparency and accountability,”Corporate Social Responsibility and Environmental Management, vol. 2(4), pp. 1346-1364, 2021.

[10]    S. B. Choi, S. H. Lee, and C. Williams, Corporate sustainability performance and its impact on highquality employee engagement: A study of publicly listed firms in South Korea,”Business Strategy and the Environment,vol. 30(6), pp. 2566-2579, 2021.

[11]    F. Haque, C. Deegan, and R. Inglis, Corporate legitimacy in the context of climate change: The case of Australian listed companies,”Accounting & Finance, vol. 12(3), pp. 1973-2005, 2020.

[12]    L. Mei, J. Xie, and B. Elango, Strategic flexibility in the digital age: Toward understanding the impact of firm resources on environmental sustainability,”Journal of Business Research, vol. 117, pp. 430-438, 2020.

[13]    M. Khan, J. Chen, and H. Zhang, Integrating sustainability and business strategy: A framework for effective data management,”Journal of Business Research, vol. 13, pp. 252-263, 2021.

[14]    L. Krause, R. Robinson, and G. Williams, Predictive capabilities for sustainability management: How data analytics shape long-term organizational strategies,”Sustainability Science, vol. 15(3), pp. 635-649, 2020.

[15]    R. Krause, S. H. Park, and K. B. Boal, CEO leadership behaviors, organizational culture, and firm performance,”Journal of Business Research, vol. 19, pp. 78-88, 2020.

[16]    M. M. Haque, and M. A. Rauf, Overcoming challenges in ESG data integration for corporate sustainability,”Sustainable Development, vol. 8(4), pp. 795-806, 2020.

[17]    T. Mei, Y. Zhang, and Q. Liu, Enhancing sustainability strategies: The role of predictive analytics in environmental decision-making,”Journal of Environmental Management, vol. 253, pp. 109639, 2020.

[18]    C. Krause, T. Walker, and P. Henderson, ESG and financial performance: The role of dashboards in performance measurement,”Corporate Governance, vol. 28(5), pp. 482-495, 2020.

[19]    S. Choi, J. Choi, and B. Lee, Real-time sustainability monitoring: Technological advancements and challenges in business practices,”Journal of Business Strategy, vol. 13(4), pp. 1235-1248, 2021.

[20]    M. Haque, Z. Khan, and M. Rahman, Sustainable practices and corporate social responsibility: The role of data integration and technology,”Journal of Business Ethics, vol. 3(4), pp. 877-892, 2020.

[21]    M. Sullivan, and G. Williams, The integration of real-time data for effective sustainability management in business,”Environmental Policy and Governance, vol. 31(6), pp. 432-445, 2021.

[22]    L. Mei, Y. Chen, and H. Zhang, Predictive analytics for sustainability: Enhancing decision-making with ESG dashboards,”Sustainability, vol. 12(6), pp. 1479, 2020.

[23]    R. Sullivan, and A. Williams, The Green Wall of China: Innovation and Environmental Sustainability in the 21st Century. London, UK: Palgrave Macmillan, 2021.

[24]    T. Williams, M., Hearn, and D. Drake, Advancing sustainability through predictive analytics: A comprehensive overview,”Corporate Social Responsibility and Environmental Management, vol. 28(4), pp. 1346-1364, 2021.

[25]    P. Bansal, and M. R.DesJardine, Business sustainability: It is about time,”Strategic Organization, vol. 7(1), pp. 99-112, 2019.

[26]    T. Y.Choi, and S. Lee, Leveraging ESG data for sustainability: Implications for business strategy and performance,”Journal of Business Strategy,vol. 13(3), pp. 48-55, 2021.

[27]    T. Dyllick, and K. Muff, Clarifying the meaning of sustainable business: Introducing a typology from business-as-usual to true business sustainability,”Organization & Environment, vol. 9(2), pp. 156-174, 2016.

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