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: 45 / 48 publications (93.8%). 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 07:22 UTC — 23 Oct 2026 01:20 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.
45 / 48 with data · 3 missing or unmatched. Percentages use all 48 selected publications.
45 / 48 with data · 3 missing or unmatched. Percentages use all 48 selected publications.
48 / 48 with data · 0 missing or unmatched. Percentages use all 48 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 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 | 9 | 9 | 9/9 | 9/9 |
| 2025 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 3 | 3 | 0/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 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 | 2 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 17 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 8 | 6 | 6/6 | 6/6 |
| 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 | 17 | 9 | 9/9 | 9/9 |
| 2025 | All selected publications | 8 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | — | 3 | 0/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| 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 | 15 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 28 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 17 | 6 | 6/6 | 6/6 |
| 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 | 17 | 9 | 9/9 | 9/9 |
| 2025 | All selected publications | 9 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 0 | 3 | 0/3 | 3/3 |
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 48 / 48 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): 2026-10-21T07:22:43.107004+00:00 — 2026-10-23T01:20:36.852270+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 | 4 | 48 | 48/48 |
| 2018 | All selected publications | 5 | 48 | 48/48 |
| 2019 | All selected publications | 13 | 48 | 48/48 |
| 2020 | All selected publications | 6 | 48 | 48/48 |
| 2021 | All selected publications | 12 | 48 | 48/48 |
| 2022 | All selected publications | 17 | 48 | 48/48 |
| 2023 | All selected publications | 23 | 48 | 48/48 |
| 2024 | All selected publications | 43 | 48 | 48/48 |
| 2025 | All selected publications | 46 | 48 | 48/48 |
| 2026 | All selected publications | 26 | 48 | 48/48 |
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 |
|---|---|
| 2013 | 1 |
| 2014 | 1 |
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 2 |
| 2020 | 6 |
| 2021 | 2 |
| 2022 | 6 |
| 2023 | 9 |
| 2024 | 9 |
| 2025 | 7 |
| 2026 | 3 |
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 Finance & Banking Studies SSBFNET | 11 | 8 | 30 | 11/11 | 1.0 | 1.0 | 62.5 | 8/11 · 72.7% |
| 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.
This paper aims to develop a conceptual and measurement framework for assessing environmental, social and governance (ESG) disclosure quality in Nigerian banks. It also aims to demonstrate how ESG disclosure quality can be distinguished from ESG disclosure quantity, ESG performance, ESG practices, ESG ratings and sustainability reporting. We employed a conceptual review and framework development approach by synthesising stakeholder theory, institutional theory, Nigerian sustainable banking regulation, international sustainability reporting standards and related banking literature. The materials analysed include the CBN Sustainable Banking Principles, SEC Sustainable Financial Principles, NGX Sustainability Disclosure Guidelines, Nigeria’s IFRS Sustainability Disclosure Standards adoption roadmap, IFRS S1/S2, GRI, TCFD, PCAF, the Basel Core Principles for Effective Banking Supervision and literature on ESG disclosure, banking risk, financial stability and disclosure quality. The main findings of the study demonstrate that: (i) ESG disclosure quality is a distinct construct; and (ii) bank ESG disclosure quality should be assessed across environmental, social and governance dimensions. The paper proposes the ESG Disclosure Quality Index framework which provides a graded 0–5 scoring scale and three empirical model specifications for future panel data studies. The framework provides a basis for assessing ESG disclosure quality and examining its relationship with bank-level outcomes in Nigeria and comparable emerging market banking systems.
Using Corporate Social Responsibilities (CSR) scores compiled by the Boost Awards international company for 77 UK companies listed on the FTSE100, the paper explores the impact of CSR on companies’ cash and investment decisions. The analysis is based on the system-GMM estimation methodology, spanning the period 2006 to 2023. The empirical analysis provides direct evidence that suggests that CSR award is directly and positively associated with corporate cash holdings, with such awards also having a positive effect on corporate investment decisions. The findings survive certain robustness tests in relevance to the distinction between mature and growth firms, although they are stronger in the case of the growth firms, and an alternative definition of CSR. The findings are highly important for company managers, investors and regulatory authorities. Managers in awarded CSR firms with better investment opportunities hold more cash because financial distress is more costly for their firms. In addition, firms with more cash holdings are less likely to default on their financial obligations, hence this evidence also implies that investors may give priority to invest in such high-performance CSR firms. Regulatory authorities should also consider that CSR activities enhance value of firms’ cash holdings and improve stakeholders’ relations.
This study aims to assess the impact of exposure to Carbon Emission Disclosure (CED) and the level of Greenhouse Gas (GHG) emissions on the valuation of companies operating in the Indonesian banking sector. This in-depth study also evaluates the influence of capital structure and intellectual property assets. In addition, this study explicitly examines how financial performance moderates the relationship between these variables and the company's value. Using a quantitative research method, this analysis observed a sample consisting of banking entities listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. The theoretical framework underpinning this research comprises Legitimacy Theory, Stakeholder Theory, Signal Theory, Preference Order Theory, and the resource-based view (RBV). The results reveal that transparent disclosure of carbon emissions and the accumulation of intellectual capital positively influence the company's value, while GHG emissions and leverage have adverse effects. Crucially, financial performance (ROA) moderates these relationships by weakening the positive impact of carbon disclosure and buffering the negative impact of GHG emissions but does not significantly moderate the effects of capital structure or intellectual capital. These findings offer practical guidelines for banking management to align environmental sustainability practices with financial strategies to enhance corporate value.
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.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |