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: 6 / 6 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 07:22 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 21 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 50 | 6 | 6/6 | 6/6 |
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 6 / 6 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 — 2026-10-22T03:01:45.525760+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 | 6 | 6/6 |
| 2018 | All selected publications | 2 | 6 | 6/6 |
| 2019 | All selected publications | 2 | 6 | 6/6 |
| 2020 | All selected publications | 1 | 6 | 6/6 |
| 2021 | All selected publications | 2 | 6 | 6/6 |
| 2022 | All selected publications | 3 | 6 | 6/6 |
| 2023 | All selected publications | 5 | 6 | 6/6 |
| 2024 | All selected publications | 18 | 6 | 6/6 |
| 2025 | All selected publications | 5 | 6 | 6/6 |
| 2026 | All selected publications | 0 | 6 | 6/6 |
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 |
|---|---|
| 2022 | 6 |
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 | 6 | 21 | 50 | 6/6 | 3.5 | 1.5 | 83.3 | 6/6 · 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.
The mining industry in Indonesia has a high enough capitalization value to attract investment. The more investors that invest, the higher the stock price and the value of the firm, yet the mining sector's share price has changed throughout time. The mining industry in Indonesia must likewise be mindful and worried about the environment. Previous research has not explored the correlation between profitability and firm value, which contributes as a mediator. This resulted in a clear gap in the literature. This study contributes to filling a gap in the literature. The mining sector businesses listed on the Indonesia Stock Exchange (IDX) from 2018 to 2020 were chosen as the population, with a total sample of 11 companies selected using the purposive selection approach. The data analysis process has been carried out using SPSS version 28 software. The study's findings revealed that corporate social responsibility and corporate management skills had little influence on business value. Furthermore, the findings of this research show that profitability, as a moderating variable in this study, is a complete mediator of social responsibility and managerial ability to firm value. The presence of profitability mediation in this research yields substantial findings, serving as a warning to investors.
The study examined the sensitivity analysis of the impact of Covid-19 on Corporate Sustainability and Company Performance of South African listed companies. The study employed secondary data retrieved from the annual reports of the selected companies. Stakeholder Theory and the Traditional Theory of Economics and Finance from the theoretical foundation of this study. Data retrieved from 40 companies for the period 2010 -2021 was analyzed using panel fully modified ordinary least squares (FMOLS) and dynamic ordinary least square (DOLS) methods, representing all sectors with the help of a convenience sampling method. Findings revealed a strong relationship between corporate sustainability performance and company performance with other explanatory variables. This study also implied that the impact of the Covid-19 pandemic was so sensitive on South African companies and companies must pay strong attention to recovery strategies suggested to reduce the severity of the impact on them and ensure a quick recovery.
Mining sector companies are closely related to pollution, waste, and strong interactions with the environment. If the pollution and waste are ignored, it will cause environmental damage that consequently impacts environmental sustainability and the community around the company. Therefore, companies are requested to address environmental and social issues through corporate social responsibility activities. Determinants of corporate social responsibility disclosure include company size, liquidity, leverage, and profitability. The purpose of this study is to examine the effect of the determinants of corporate social responsibility disclosure on corporate social responsibility in mining companies listed on the Indonesia Stock Exchange (IDX) from 2016 to 2020. The number of sample companies studied was seven mining sector companies, and the number of data tested was 35 (for five years). The data used in this research were derived from financial and sustainability reports. The sampling technique used in this study was the saturated sample. Data were analyzed using regression analysis processed using the SPSS application. This study revealed that company size, liquidity, leverage, and profitability affect corporate social responsibility disclosure.
This research aims to explore the extent of COVID-19 reporting by the banking sector in a developing economy after the 2020 experience in the absence of known pandemic standards. The subject of this research is the 2021 top six banks from South Africa, a country classified as a developing economy. An unobtrusive research method was employed. Data were collected from the banks’ integrated reports for 2020/2021 depending on the banks’ financial year period. Document analysis was done and a technique of counting and recording the number of mentions for each COVID-19 content or capital category was employed. Findings indicated that Standard Bank, which was ranked top of the six, took the lead in the extent of COVID-19 reporting based on a recently suggested reporting framework that has not yet been contrasted by the rest of the researchers. A correlation analysis showed a significant positive relationship between the bank size and the extent of COVID-19 disclosure by the sampled banks. The study indicated that the top South African banks significantly reported on the COVID-19 pandemic despite the absence of guiding reporting standards. However, there is a need for another study to develop an index that will show different levels of disclosure extent.
This study aims to determine the factors influencing carbon emissions disclosure in basic and chemical industrial companies listed on the IDX in 2016-2019. The research approach used in this study is a quantitative approach of the Explanatory Research type to explain the relationship between the independent and dependent variables through hypothesis testing. The sample selection was used using a purposive sampling method with the following criteria. Data in the form of financial reports and company annual reports were obtained from the website of the Indonesia Stock Exchange ICMD (Indonesian Capital Market Directory), and www.finance.yahoo.com. The data used in this study are time series and cross-section data. Based on the research that has been done, it can be concluded that the Good Corporate Governance variable has a positive and significant effect on Carbon Emissions Disclosure; Managerial Ownership Variables have a negative and significant effect on Carbon Emissions Disclosures; firm Value Variables do not affect Carbon Emissions Disclosures, Leverage Variables do not affect Carbon Emissions Disclosures, Company Size Variables have a positive and significant effect on Carbon Emissions Disclosures, Good Corporate Governance Variables, Managerial Ownership, Firm Value, Leverage and Firm Size jointly influence Carbon Emissions Disclosure. The results of this study can provide information for regulators, company management, investors, creditors, and other interested parties to understand the importance of the supervisory function in a company.
The mining industry in Indonesia has a high enough capitalization value to attract investment. The more investors that invest, the higher the stock price and the value of the firm, yet the mining sector's share price has changed throughout time. The mining industry in Indonesia must likewise be mindful and worried about the environment. Previous research has not explored the correlation between profitability and firm value, which contributes as a mediator. This resulted in a clear gap in the literature. This study contributes to filling a gap in the literature. The mining sector businesses listed on the Indonesia Stock Exchange (IDX) from 2018 to 2020 were chosen as the population, with a total sample of 11 companies selected using the purposive selection approach. The data analysis process has been carried out using SPSS version 28 software. The study's findings revealed that corporate social responsibility and corporate management skills had little influence on business value. Furthermore, the findings of this research show that profitability, as a moderating variable in this study, is a complete mediator of social responsibility and managerial ability to firm value. The presence of profitability mediation in this research yields substantial findings, serving as a warning to investors.
Mining sector companies are closely related to pollution, waste, and strong interactions with the environment. If the pollution and waste are ignored, it will cause environmental damage that consequently impacts environmental sustainability and the community around the company. Therefore, companies are requested to address environmental and social issues through corporate social responsibility activities. Determinants of corporate social responsibility disclosure include company size, liquidity, leverage, and profitability. The purpose of this study is to examine the effect of the determinants of corporate social responsibility disclosure on corporate social responsibility in mining companies listed on the Indonesia Stock Exchange (IDX) from 2016 to 2020. The number of sample companies studied was seven mining sector companies, and the number of data tested was 35 (for five years). The data used in this research were derived from financial and sustainability reports. The sampling technique used in this study was the saturated sample. Data were analyzed using regression analysis processed using the SPSS application. This study revealed that company size, liquidity, leverage, and profitability affect corporate social responsibility disclosure.
The study examined the sensitivity analysis of the impact of Covid-19 on Corporate Sustainability and Company Performance of South African listed companies. The study employed secondary data retrieved from the annual reports of the selected companies. Stakeholder Theory and the Traditional Theory of Economics and Finance from the theoretical foundation of this study. Data retrieved from 40 companies for the period 2010 -2021 was analyzed using panel fully modified ordinary least squares (FMOLS) and dynamic ordinary least square (DOLS) methods, representing all sectors with the help of a convenience sampling method. Findings revealed a strong relationship between corporate sustainability performance and company performance with other explanatory variables. This study also implied that the impact of the Covid-19 pandemic was so sensitive on South African companies and companies must pay strong attention to recovery strategies suggested to reduce the severity of the impact on them and ensure a quick recovery.
This research aims to explore the extent of COVID-19 reporting by the banking sector in a developing economy after the 2020 experience in the absence of known pandemic standards. The subject of this research is the 2021 top six banks from South Africa, a country classified as a developing economy. An unobtrusive research method was employed. Data were collected from the banks’ integrated reports for 2020/2021 depending on the banks’ financial year period. Document analysis was done and a technique of counting and recording the number of mentions for each COVID-19 content or capital category was employed. Findings indicated that Standard Bank, which was ranked top of the six, took the lead in the extent of COVID-19 reporting based on a recently suggested reporting framework that has not yet been contrasted by the rest of the researchers. A correlation analysis showed a significant positive relationship between the bank size and the extent of COVID-19 disclosure by the sampled banks. The study indicated that the top South African banks significantly reported on the COVID-19 pandemic despite the absence of guiding reporting standards. However, there is a need for another study to develop an index that will show different levels of disclosure extent.
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 |