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: 19 / 22 publications (86.4%). 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 — 24 Oct 2026 01:29 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.
22 / 22 with data · 0 missing or unmatched. Percentages use all 22 selected publications.
22 / 22 with data · 0 missing or unmatched. Percentages use all 22 selected publications.
22 / 22 with data · 0 missing or unmatched. Percentages use all 22 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 | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| 2025 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2026 | All selected publications | 7 | 7 | 4/7 | 7/7 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 7 | 7/7 | 7/7 |
| 2025 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| 2026 | All selected publications | 0 | 7 | 4/7 | 7/7 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 7 | 7/7 | 7/7 |
| 2025 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| 2026 | All selected publications | 0 | 7 | 4/7 | 7/7 |
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 22 / 22 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): 2026-10-21T07:22:51.298696+00:00 — 2026-10-24T01:29:38.504026+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 | 0 | 22 | 22/22 |
| 2018 | All selected publications | 0 | 22 | 22/22 |
| 2019 | All selected publications | 0 | 22 | 22/22 |
| 2020 | All selected publications | 0 | 22 | 22/22 |
| 2021 | All selected publications | 0 | 22 | 22/22 |
| 2022 | All selected publications | 0 | 22 | 22/22 |
| 2023 | All selected publications | 0 | 22 | 22/22 |
| 2024 | All selected publications | 0 | 22 | 22/22 |
| 2025 | All selected publications | 0 | 22 | 22/22 |
| 2026 | All selected publications | 0 | 22 | 22/22 |
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 |
| 2023 | 1 |
| 2024 | 7 |
| 2025 | 6 |
| 2026 | 7 |
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 Business Ecosystem & Strategy Bussecon International Academy | 9 | 0 | 0 | 9/9 | 0.0 | 0 | 0.0 | 9/9 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 6 | 0 | 0 | 6/6 | 0.0 | 0 | 0.0 | 3/6 · 50.0% |
| International Journal of Research in Business and Social Science SSBFNET | 7 | 0 | 0 | 7/7 | 0.0 | 0 | 0.0 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
Idiosyncratic risk refers to a distinct category of risk that impacts individual firms and is shaped by multiple aspects, including carbon performance and Environmental, Social, and Governance (ESG) disclosures. This risk, particularly concerning environmental sustainability, can provide considerable hurdles for companies. This study aims to examine the influence of carbon performance and ESG disclosure on idiosyncratic risk, with the speed of adjustment serving as a moderating variable. This research examines coal production firms listed on the Indonesia Stock Exchange (IDX) from 2021 to 2023, with a sample of 26 companies selected through purposive sampling. This research utilizes quantitative methodologies, specifically multiple linear regression and a moderating variable approach. Data is derived from annual reports, financial statements, and sustainability reports of coal firms, as well as information from investing.com and the Katadata Corporate Sustainability Index. The data indicate an inverse correlation between carbon performance and idiosyncratic risk, as well as between ESG disclosure and idiosyncratic risk, suggesting that organizations with superior ratings in both domains encounter diminished idiosyncratic risk. Moreover, whereas the speed of adjustment does not reinforce the connection between carbon performance and idiosyncratic risk, it does augment the association between ESG disclosure and idiosyncratic risk.
Environmental, Social, and Governance (ESG) -related information has become a primary non-financial consideration for investors. Carbon Auditing has emerged as a significant accounting framework for providing ESG information. As climate change intensifies, the demand for transparent and accurate carbon auditing has risen. This Study aims to understand how emerging carbon auditing could proactively prevent future scandals, e.g., Volkswagen's Diesel gate Scandal, and mitigate environmental risks. This paper examines the level at which carbon auditing effectively curbs emissions, considering Volkswagen's "Dieselgate" scandal as a case study. It assesses how well carbon auditing works in controlling environmental risks and discusses how enhancements in carbon accounting in the future can help avoid such scandals. The Study was conducted through case study analysis and scenario analysis. The Study found that the Diselgate Scandal reduced share prices, raised awareness through Academia, and produced some policy implications. Scenario 1 analysis shows that a lack of carbon auditing triggers environmental degradation, leading to financial losses. On the other hand, in scenario 2, the Study shows that continuous monitoring leads to long-term financial stability.
This research aims to determine the influence of firm size, profitability, leverage, and board size on Islamic social responsibility. The population in this research are companies listed on the Indonesian Stock Exchange in 2020–2022. In this research, we will see the simultaneous and partial influence and the dominant variables using data analysis tools in the form of multiple linear regression, coefficient of determination, hypothesis testing using the F test and t-test, and the classical assumption test. Based on the research results, it can be concluded as follows: Simultaneously, firm size, profitability, leverage, and board size influence Islamic social responsibility. Partially, it can be seen that not all variables have a significant effect on Islamic social responsibility. Firm size and leverage influence Islamic social responsibility, while profitability and board size have no influence.
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.
The study examines how environmental sustainability reporting influences the performance of listed construction firms in Zimbabwe. The study responds to a notable research gap in developing economies, particularly within the construction sector, where limited qualitative evidence exists on how managers perceive the relationship between environmental corporate sustainability practices and organisational performance. While prior studies have largely focused on quantitative approaches in developed contexts, this paper adopts a qualitative perspective to generate context-specific insights. Guided by the interpretivist philosophy and informed by Signalling Theory and Legitimacy Theory, the study employed a qualitative research design using purposive sampling. Data were gathered through semi-structured interviews, and document analysis of sustainability reports from selected firms listed on the Zimbabwe Stock Exchange. The data were analysed through thematic and content analysis to identify recurring patterns and perceptions. The findings indicate that environmental sustainability reporting is generally perceived to enhance firm performance through improved corporate reputation, stronger stakeholder confidence, regulatory compliance, operational efficiency, waste reduction, and better resource management. Key environmental practices identified include environmental management systems, recycling and reuse initiatives, pollution control measures, land rehabilitation, and water conservation strategies. However, the study also found that firms face constraints such as resource limitations, economic instability, and uneven regulatory enforcement, which may hinder the full benefits of environmental sustainability initiatives. The paper concludes that the environmental dimension of corporate sustainability reporting can contribute positively to organisational performance when supported by effective implementation and strategic commitment. It recommends that listed firms strengthen environmental governance systems, integrate sustainability into core business strategy, invest in cleaner technologies, and improve disclosure quality. Policymakers are encouraged to enhance regulatory support and industry guidance for sustainability reporting. Future research may extend this inquiry to other sectors, compare listed and non-listed firms, and explore longitudinal changes in sustainability reporting practices across emerging markets.
This study examines the impact of environmental, social and governance (ESG) practices on corporate financial performance in Zimbabwe's mining sector using a case study of Zimplats Holdings Limited. The main aim was to determine whether and to what extent ESG practices contribute to financial outcomes at the firm level. The objective of the study was to examine the overall ESG and financial performance relationship, to analyse the effects of individual ESG dimensions on financial performance, and to assess the moderating role of firm-specific factors on ESG practices. Informed by the stakeholder theory, the resource-based view, and legitimacy theory, a quantitative approach was adopted, using secondary data extracted from Zimplats' Integrated Annual Reports (2023–2025) through a structured data extraction template aligned with GRI standards. Key findings reveal a positive but lagged ESG and financial performance relationship. Governance emerged as the most stable and financially material ESG pillar, while environmental and social investments showed transitional efficiency deterioration before expected long-term gains. Firm-specific factors such as asset expansion, capital structure, production volume, and multinational ownership, significantly moderated the timing and magnitude of financial returns, compressing short-term profitability indicators such as return on assets (ROA) and return on equity (ROE). The study contributes firm-level empirical evidence on unlisted Zimbabwean mining firms, extending ESG theory to emerging market contexts. Recommendations include targeting governance enhancements for immediate financial returns, allowing longer investment horizons for environmental and social initiatives, and maintaining conservative capital structures to sustain ESG investment during earnings volatility.
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.
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 |