Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 37 / 37 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:49 UTC — 22 Oct 2026 03:01 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
36 / 37 with data · 1 missing or unmatched. Percentages use all 37 selected publications.
36 / 37 with data · 1 missing or unmatched. Percentages use all 37 selected publications.
37 / 37 with data · 0 missing or unmatched. Percentages use all 37 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| 2024 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| 2025 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 17 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 7 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 21 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 27 | 9 | 9/9 | 9/9 |
| 2024 | All selected publications | 16 | 7 | 7/7 | 7/7 |
| 2025 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 28 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 16 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 13 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 50 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 45 | 9 | 9/9 | 9/9 |
| 2024 | All selected publications | 16 | 7 | 7/7 | 7/7 |
| 2025 | All selected publications | 6 | 4 | 4/4 | 4/4 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 37 / 37 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T00:49:31.840866+00:00 — 2026-10-22T03:01:45.525760+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 2 | 37 | 37/37 |
| 2018 | All selected publications | 2 | 37 | 37/37 |
| 2019 | All selected publications | 3 | 37 | 37/37 |
| 2020 | All selected publications | 3 | 37 | 37/37 |
| 2021 | All selected publications | 9 | 37 | 37/37 |
| 2022 | All selected publications | 15 | 37 | 37/37 |
| 2023 | All selected publications | 20 | 37 | 37/37 |
| 2024 | All selected publications | 43 | 37 | 37/37 |
| 2025 | All selected publications | 45 | 37 | 37/37 |
| 2026 | All selected publications | 23 | 37 | 37/37 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2014 | 1 |
| 2018 | 1 |
| 2019 | 2 |
| 2020 | 5 |
| 2021 | 2 |
| 2022 | 6 |
| 2023 | 9 |
| 2024 | 7 |
| 2025 | 4 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 37 | 99 | 175 | 37/37 | 2.68 | 1 | 73.0 | 37/37 · 100.0% |
* Percentage among publications with a known citation count.
Ready-made garments (RMG) are one of the most critical sectors in the economy of the South Asian region in terms of the labor force employed and export earnings. This research study aims to determine the Corporate Social Responsibility Stakeholders dimension and its influence on textile firms Performance. The study used organizational legitimacy as mediating variable between the CSR stakeholders and firms’ performances. The research study was used in the quantitative analysis approach to determine the cause and effect of the relationship between CSR and Textile firm’s financial and non-financial performance. Though the study collected primary data & secondary data from 250 respondents using survey questionnaires, the researcher obtained secondary data by analyzing the audited annual and sustainability reports of various RMG companies. We have collected data by conducting a focus group interview forming a team of employers, top-level managers, and CSR officers. We asked them all the questions, filled it, tapped it, reserved it for the interpretations. We have surveyed 67 industries, but it enabled us to collect the data from the 50 sectors—the data collected from 2016 April to 2018 December. Our study has some limitations in that the sample size is small compared to the other research. SPSS-23 & MS-Excel were used to analyze the collected data. CSR practices benefitted RMG companies in terms of long-term sustainable development by increasing the firm’s financial and non-financial performance of the RMG sector.
Whether investors take into account a company's environmental, social, and governance (ESG) issues when making investment decisions (ID), how they interpret corporate reputation (CR) as a result of ESG issues, and whether CR mediates the relationship between ESG issues and ID are the goals of this study. The theory of planned behavior (TPB) and the signaling theory are the bases of the framework. The study was based on a questionnaire survey that received 599 responses from active retail investors in two Bangladeshi cities, Dhaka and Chattagram. The PLS path modeling method was used to analyze the data and test the hypothesis. The empirical findings reveal that corporate ESG issues considerably impact ID and that CR mediates this relationship. This study contributes to behavioral finance by offering empirical proof of the relationship between company ESG issues and investment decisions. By examining the indirect effects of ESG issues on ID via CR, this study contributes to the body of knowledge. It is therefore advised that strategic managers be required to use ESG practices as it builds reputation. At the same time, the government should create public policies, orders, and rules for upholding the ESG issues that contribute to the sustainable development of the capital market and the economy.
The main reasons for corporate participation in environmental and social disclosure are stability, development, and continuity through participation in protecting the environment and optimizing the use of available resources. As well as the company practices and participation in society of the most important means to create a good image of the company in the community. There is a rise demand for companies to take accountability for their environmental and societal impacts. A core role of the Audit Committee (AC) is to help the board of directors in overseeing the company's reporting policy and oversees the quality of financial reporting in the company. This study examined the impact of audit committee characteristics on the level of environmental and social disclosures in listed banks in Borsa Istanbul. The results of the study showed that there is no statistically significant relationship between the characteristics of the audit committee and the environmental and social disclosures. Consequently, these characteristics have no effect on the volume or type of disclosure and their inability to predict them.
ESGs, or sustainable business practices, are becoming more and more popular as more stakeholders, regulators, and investors want to conduct business in a way that helps address urgent global issues like environmental degradation, climate change, ethical supply chains, and global well-being. Consequently, while making investment decisions, environmental, social, and governance (ESG) factors are given more weight in the operational and strategic objectives of the organization. The purpose of this research is to determine the relationship between a company's financial success and market value and its environmental, social, and governance (ESG) performance. This research uses financial performance as a mediating impact and integrates the risk mitigation element, which is the foundation of sustainability. Data from publicly traded businesses on the Indonesia Stock Exchange with ESG risk from Sustainalytics and ESG ratings from Refinitiv were used in the study. Purposive sampling was the sampling approach utilized to acquire 48 observation firms for empirical testing. The results indicate that only the individual environmental ESG score has a positive and significant impact on financial performance and company value, whereas the composite ESG score has a positive and substantial impact on financial performance. The finding of this study is that the improvement of corporate ESG performance can increase corporate value, and corporate financial performance provides an obvious mediating effect. The findings further show that low-risk ESG scores have an impact on increasing firm value with financial performance as the mediation.
This paper explores the relationship between environmental, social, and governance performance (ESGP) and firm value in both emerging and developed economies, with the moderating impact of environmental uncertainty and competitive advantage. Using secondary unbalanced data spanning from 2011 to 2022, we examine both the direct and non-linear effects of ESG performance on firm value, employing advanced econometric estimation techniques such as two-step system GMM (2sGMM) and two-stage least square (2SLS). The analysis finds that: (1) ESG performance positively influences firm value in both Chinese and US banks, and the results remain valid after robustness test; (2) The results also confirm that ESG performance non-linearly influence firm value across the samples, with an inverted U-shape relationship; (3) Additionally, we further investigate the moderating effects of environmental uncertainty and competitive advantage, uncovering that environmental uncertainty dampens the ESGP-firm value relationship, while competitive advantage further amplifies it. This study contributes to the understanding of how ESG performance can act as strategic assets that align managerial and stakeholder interests, and improve firm performance, by underpinning agency, stakeholder, and the resource-based view theory. Practical insights are also provided for policymakers, regulators, and financial institutions regarding the use of ESGP as a competitive tool in uncertain and dynamic market environments.
Climate change is increasingly recognised as a significant threat to economic development. As efforts to transition to a low-carbon economy continue to intensify, there is a growing realisation among proponents of sustainable development that public sector organisations need to disclose climate risks and opportunities associated with their operations. Climate risk disclosures in the public sector offer countries unique insights and opportunities to pursue a sustainable path toward a low-carbon economy. Although there are many studies on climate-risk disclosures in the private sector, studies on the public sector are scarce. A systematic review of academic and grey literature was used to analyse the potential of adapting the TCFD framework to the public sector of South Africa. The study found that the TCFD recommendations provide a globally standardised approach to climate risk disclosure, allowing comprehensive reporting and comparison of climate-related information between sectors and entities to promote climate resilience and transition to a green economy. To effectively implement the recommendations of the TCFD in the public sector of South Africa, improved capacity building, strong legal and institutional frameworks, bold multi-stakeholder and multi-sectoral approaches, adequate budget support and strong advocacy and communication efforts are needed. The study will be important to the IPSASB and other stakeholders to develop sustainability reporting standards for the public sector, as well as promote climate risk disclosures by government entities.
Sustainability has become a key focus for many small manufacturing enterprises, especially as they face growing pressure to operate responsibly in economic, social, and environmental terms. This study explores how the three elements of the Triple Bottom Line (TBL) work together and influence each other in shaping sustainable practices. Rather than looking at these elements in isolation, the study focuses on how they interact within small manufacturing enterprises and how this interplay can create new opportunities for improving sustainability. Using both theory and practical insights, the study identifies ways in which organizations can better align their strategies to achieve long-term value and stability. The findings show that when the TBL elements are balanced and connected, organizations are more likely to succeed in building resilience and meeting broader sustainability goals. This study offers practical guidance for leaders and decision-makers who want to use the TBL framework not just as a reporting tool, but as a way to guide meaningful change. A scientific questionnaire was distributed to 450 small manufacturing enterprises who were chosen on a stratified probability sampling method. The research data were subject to correlation analysis.
The study aims to develop a framework for stakeholder management planning to guide entities in using holistic structured and tailored approaches that effectively guide stakeholder management. The study was inspired by perceived inadequacies of current frameworks to provide actionable solutions to stakeholder management planning. The study is underpinned by pragmatism and involves mixed methods research consisting of quantitative and qualitative approaches. A stratified random sampling method is used with the target population being 55 companies listed on the Zimbabwe Stock Exchange covering the period 2019-2023. The theoretical framework was anchored on the stakeholder theory by Edward Freeman (1984). Questionnaires (n=215) are analysed using SPSS version 26 while 12 semi-structured interview guides are analysed using NVIV0 version 14 with 10 local corporate governance practitioners validating the framework. The Quantitative techniques used are Cronbach alpha, exploratory factor analysis, regression and ANOVA. Findings were that variables from the study namely the definitive / latent criteria, communication, engagement and collaboration sub-plans are sufficiently positively related to stakeholder management planning and several sub-themes emerged around them to produce a holistic framework of stakeholder management planning. The framework is expected to see the improvement of stakeholder management planning in practice.
This paper explores the relationship between environmental, social, and governance performance (ESGP) and firm value in both emerging and developed economies, with the moderating impact of environmental uncertainty and competitive advantage. Using secondary unbalanced data spanning from 2011 to 2022, we examine both the direct and non-linear effects of ESG performance on firm value, employing advanced econometric estimation techniques such as two-step system GMM (2sGMM) and two-stage least square (2SLS). The analysis finds that: (1) ESG performance positively influences firm value in both Chinese and US banks, and the results remain valid after robustness test; (2) The results also confirm that ESG performance non-linearly influence firm value across the samples, with an inverted U-shape relationship; (3) Additionally, we further investigate the moderating effects of environmental uncertainty and competitive advantage, uncovering that environmental uncertainty dampens the ESGP-firm value relationship, while competitive advantage further amplifies it. This study contributes to the understanding of how ESG performance can act as strategic assets that align managerial and stakeholder interests, and improve firm performance, by underpinning agency, stakeholder, and the resource-based view theory. Practical insights are also provided for policymakers, regulators, and financial institutions regarding the use of ESGP as a competitive tool in uncertain and dynamic market environments.
Firm value is a very important because the success of management in managing a firm is reflected in the firm value. With the uncertainty of global economic conditions in recent years, Companies have faced challenges in maintaining or increasing firm value. Companies must have a strategy in order to increase the firm value by paying attention to financial and non -financial factors. This study aims to test and analyze the effect of ESG performance, capital structure, firm size on firm value with profitability as a mediation variable. Sampling techniques in this study uses saturated sample because all populations included in the sample criteria that used in research as many as 15 companies listed in the ESG Leaders index for the 2020-2023 period. Research data analysis using multiple linear regression methods and path analysis with SPSS programs. The results showed that ESG's performance, capital structure had a significant positive effect on firm value while firm size had a significant negative effect on the firm's value. Profitability as a mediation variable could mediate the effect of ESG performance, capital structure, firm size on the firm value.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |