Submitted:
31 May 2024
Posted:
31 May 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
- RQ1. What are the documents cited by authors and the top authors related to “Corporate Sustainability and“Firm Performance”?
- RQ2. What are the trends of growth of publications of related to “Corporate Sustainability” and “Firm Performance”?
- RQ3. What is the concept sketch out of research related to “Corporate Sustainability" and “Firm Performance”?
- RQ4. What is the Annual Growth Rate, Annual Ratio of Growth, Relative Growth Rate and Doubling Time of publications related to “Corporate Sustainability” and “Firm Performance”?
- RQ5. What is the scientific production index in field of “Corporate Sustainability" and “Firm Performance”?
- RQ6. What are the future production levels of publications related to Corporate Sustainability and Firm Performance?
2. Literature
2.1. Firm Performance and Financial Performance
2.2. Corporate Communications and Governance Mechanisms
2.3. Corporate Sustainability and Firm Performance Relationship
2.4. Status of Investigation of Corporate Sustainability and Firm Performance
3. Materials and Methods
4. Results
4.1. Yearly Distribution and Growth Trends
4.2. Subject Areas
4.3. Countries
4.4. Top Organisations
4.4.1. Cluster 1 (Pink) Environment Performance, CSR and Sustainability
- Introducing employee green teams has a positive impact on both firm environmental performance and reputation, apart from financial performance through cost savings achieved via sustainable practices.
- Socially responsible pension funds significantly influence ESG performance of investee firms, promoting sustainability practices and transparency and potentially bolstering financial performance.
- Investing in Corporate Environmental Responsibility (CER) leads to reduced environmental costs and improved financial performance, particularly in developed financial markets.
- Different ethical motivations drive distinct CSR activities, raising questions about their relationship with business success.
- Board diversity and separation of chair and CEO’s role correlate with higher sustainability performance, emphasizing the importance of inclusive decision-making in shaping sustainable practices and positively influencing financial performance.
4.4.2. Cluster 2 (Purple) Firm Performance and Sustainability Chain Management
- 6.
- Renewable energy (RE) utilising firms consistently outperform industry peers financially, indicating a positive association between Sustainable Chain Management and Financial Performance.
- 7.
- Sustainable value assessment methodology integrates sustainable value approach with frontier efficiency benchmarks, offering a comprehensive tool for evaluating firm sustainability.
- 8.
- Internal sustainable supply chain management (SSCM) practices positively influence environmental and social performance, subsequently enhancing economic performance of firms.
4.4.3. Cluster 3 (Brown) Corporate Sustainability Reporting and Firms’ Profitability
- 9.
- Japanese companies not only lead in both the level and quality of sustainability disclosure among Asian countries. They also demonstrate a positive correlation between robust sustainability practices and financial performance. This suggests that their commitment to transparency and sustainability contributes to enhanced investor confidence and may lead to improved financial outcomes.
- 10.
- High levels of sustainability reporting are observed among Indian firms, with a significant impact on firm performance. This has led to attracting socially responsible investors, access capital more easily, and potentially achieve better financial results due to improved operational efficiency and reduced risks associated with environmental and social issues.
- 11.
- Environmental sustainability positively influences various dimensions of firm performance and contributes to stronger financial performance over long term.
4.4.4. Cluster 4 (Orange) Financialisation, Accumulation of Real Capital, and Corporate Social Performance
4.4.5. Cluster 5 (Blue) Value Creation and Green Supply Chain Management
4.5. Mapping Clusters with SDGs
4.6. Keyword Co-Occurence
4.7. Future Projections
5. Discussion
6. Conclusion
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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| Country | Quantity | %age | Citation | Avg. Citation per document | Nominal GDP Rank* | Scientific Production Index | |
|---|---|---|---|---|---|---|---|
| 1 | China | 13 | 21.31 | 363 | 27.92 | 2 | 20.00 |
| 2 | India | 9 | 14.75 | 304 | 33.78 | 5 | 13.85 |
| 3 | United States | 8 | 13.11 | 466 | 58.25 | 1 | 12.31 |
| 4 | Pakistan | 6 | 9.84 | 73 | 12.17 | 46 | 9.23 |
| 5 | Taiwan | 4 | 6.56 | 30 | 7.50 | 22 | 6.15 |
| 6 | Spain | 4 | 6.56 | 59 | 14.75 | 15 | 6.15 |
| 7 | Malaysia | 4 | 6.56 | 40 | 10.00 | 36 | 6.15 |
| 8 | Canada | 4 | 6.56 | 26 | 6.50 | 10 | 6.15 |
| 9 | United Kingdom | 3 | 4.92 | 12 | 4.00 | 6 | 4.62 |
| 10 | Italy | 3 | 4.92 | 415 | 138.33 | 8 | 4.62 |
| 11 | Germany | 3 | 4.92 | 231 | 77.00 | 3 | 4.62 |
| Organisation | Documents | Citation | Avg. Citation per document | |
|---|---|---|---|---|
| 1 | “Department of Management Sciences, City University of Science and Information Technology, Peshawar, Pakistan” | 3.00 | 34 | 11.33 |
| 2 | “Ahlia University, Manama, Bahrain” | 2.00 | 25 | 12.50 |
| 3 | “China Institute of Quality and Economic Development, Shenzhen University, Shenzhen, China” | 2.00 | 4 | 2.00 |
| Author | Author Id | Citation | doi | h-index | g-index | |
|---|---|---|---|---|---|---|
| 1 | Naciti V. (2019) | 57210146372.00 | 273 | 10.1016/j.jclepro.2019.117727 | 6 | 20 |
| 2 | Schaltegger S.; Burritt R. (2018) | 6602922601; 6507698546 | 201 | 10.1007/s10551-015-2938-0 | 62; 59 | 137; 110 |
| 3 | Zhang Y.; Sun J.; Yang Z.; Wang Y. (2020) | 36136363700; 55716202200; 57193136154; 57191165178 | 191 | 10.1016/j.jclepro.2020.121701 | 35; 22; 14; 9 | 49; 66; 37; 29 |
| 4 | Jo H.; Kim H.; Park K. (2015) | 16052624600; 55817020300; 56010356500 |
174 | 10.1007/s10551-014-2276-7 | 24; 9; 17 | 51; 22; 33 |
| 5 | De Sousa Jabbour A.B.L.; Frascareli F.C.D.O.; Jabbour C.J.C. (2015) | 54977014200; 56814993400; 15757819200 | 125 | 10.1016/j.resconrec.2015.07.017 | 34; 2; 114 | 71; 3; 192 |
| 6 | Dangelico R.M. (2015) | 21833539400.00 | 110 | 10.1002/bse.1842 | 24 | 39 |
| 7 | Wang J.; Dai J. (2018) | 57200019563; 57200393123 | 87 | 10.1108/IMDS-12-2016-0540 | 39; 2 | 182; 8 |
| 8 | Gupta A.K.; Gupta N. (2020) | 57214417255; 56167199200 | 78 | 10.1016/j.jclepro.2019.119948 | 7; 10 | 19; 18 |
| 9 | Puni A.; Anlesinya A. (2020) | 57202006108; 57201390540 | 73 | 10.1108/IJLMA-03-2019-0076 | 7; 11 | 11; 13 |
| 10 | Bodhanwala S.; Bodhanwala R. (2018) | 57200789005; 56866261100 | 69 | 10.1108/MD-04-2017-0381 | 5;4 | 10;7 |
| 11 | Van Passel S.; Van Huylenbroeck G.; Lauwers L.; Mathijs E. (2009) | 16053856800; 56232477200; 15832612300; 6603215153 | 68 | 10.1016/j.jenvman.2009.04.009 | 44; 40; 25; 41 | 143; 85; 44; 84 |
| 12 | Jeffers P.I. (2010) | 25925047000.00 | 67 | 10.1108/01443571011024629 | 4 | 13 |
| 13 | Alda M. (2019) | 36629887300.00 | 56 | 10.1002/bse.2301 | 6 | 16 |
| 14 | Laskar N.; Gopal Maji S. (2018) | 57191412260; 57119218400 | 53 | 10.1108/ARA-02-2017-0029 | 5; 11 | 12; 15 |
| Year | # | Cumulative | ^W1 | ^W2 | RGR | Dt. | ARoG | AGR |
|---|---|---|---|---|---|---|---|---|
| 2009 | 1 | 1 | 0.00 | 0.00 | 0.00 | 0 | ||
| 2010 | 1 | 2 | 0.00 | 0.69 | 0.69 | 1.00 | 1.00 | 0.00 |
| 2011 | 0 | 2 | 0.69 | 0.69 | 0.00 | 0 | 0.00 | 1.00 |
| 2012 | 0 | 2 | 0.69 | 0.69 | 0.00 | 0 | 0.00 | 0.00 |
| 2013 | 1 | 3 | 0.69 | 1.10 | 0.40 | 1.71 | 0.00 | 0.00 |
| 2014 | 0 | 3 | 1.10 | 1.10 | 0.00 | 0 | 0.00 | 1.00 |
| 2015 | 3 | 6 | 1.10 | 1.79 | 0.69 | 1.00 | 0.00 | 0.00 |
| 2016 | 1 | 7 | 1.79 | 1.95 | 0.15 | 4.50 | 3.00 | 0.67 |
| 2017 | 3 | 10 | 1.95 | 2.30 | 0.36 | 1.94 | 0.33 | -2.00 |
| 2018 | 7 | 17 | 2.30 | 2.83 | 0.53 | 1.31 | 0.43 | -1.33 |
| 2019 | 6 | 23 | 2.83 | 3.14 | 0.30 | 2.29 | 1.17 | 0.14 |
| 2020 | 9 | 32 | 3.14 | 3.47 | 0.33 | 2.10 | 0.67 | -0.50 |
| 2021 | 4 | 36 | 3.47 | 3.58 | 0.12 | 5.87 | 2.25 | 0.56 |
| 2022 | 8 | 44 | 3.58 | 3.78 | 0.20 | 3.45 | 0.50 | -1.00 |
| 2023 | 19 | 63 | 3.78 | 4.14 | 0.36 | 1.93 | 0.42 | -1.38 |
| 2024 | 2 | 65 | 4.14 | 4.17 | 0.03 | 22.35 | 9.50 | 0.89 |
| Sl. No. | Year | x | Y | X | XY | X2 |
|---|---|---|---|---|---|---|
| 1 | 2009 | 0 | 1.00 | -7.50 | -7.50 | 56.25 |
| 2 | 2010 | 1 | 1.00 | -6.50 | -6.50 | 42.25 |
| 3 | 2011 | 2 | 0.00 | -5.50 | 0.00 | 30.25 |
| 4 | 2012 | 3 | 0.00 | -4.50 | 0.00 | 20.25 |
| 5 | 2013 | 4 | 1.00 | -3.50 | -3.50 | 12.25 |
| 6 | 2014 | 5 | 0.00 | -2.50 | 0.00 | 6.25 |
| 7 | 2015 | 6 | 3.00 | -1.50 | -4.50 | 2.25 |
| 8 | 2016 | 7 | 1.00 | -0.50 | -0.50 | 0.25 |
| 9 | 2017 | 8 | 3.00 | 0.50 | 1.50 | 0.25 |
| 10 | 2018 | 9 | 7.00 | 1.50 | 10.50 | 2.25 |
| 11 | 2019 | 10 | 6.00 | 2.50 | 15.00 | 6.25 |
| 12 | 2020 | 11 | 9.00 | 3.50 | 31.50 | 12.25 |
| 13 | 2021 | 12 | 4.00 | 4.50 | 18.00 | 20.25 |
| 14 | 2022 | 13 | 8.00 | 5.50 | 44.00 | 30.25 |
| 15 | 2023 | 14 | 19.00 | 6.50 | 123.50 | 42.25 |
| 16 | 2024 | 15 | 2.00 | 7.50 | 15.00 | 56.25 |
| Total | 120 | 65.00 | 0.00 | 236.50 | 340 | |
| y=a+bx | ||||||
| a=ΣY/N | 4.06 | |||||
| b=ΣXY/ΣX2 | 0.6956 | |||||
| Prediction | ||||||
| 2025 | 15 | |||||
| 2030 | 19 | |||||
| 2040 | 22 | |||||
| 2050 | 33 | |||||
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