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: 2 / 2 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 — 21 Oct 2026 00:49 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 14 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 24 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 18 | 1 | 1/1 | 1/1 |
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 2 / 2 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): 2026-10-21T00:49:31.786162+00:00 — 2026-10-21T00:49:38.415149+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 2 | 2 | 2/2 |
| 2021 | All selected publications | 3 | 2 | 2/2 |
| 2022 | All selected publications | 3 | 2 | 2/2 |
| 2023 | All selected publications | 7 | 2 | 2/2 |
| 2024 | All selected publications | 14 | 2 | 2/2 |
| 2025 | All selected publications | 12 | 2 | 2/2 |
| 2026 | All selected publications | 1 | 2 | 2/2 |
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 |
|---|---|
| 2019 | 1 |
| 2022 | 1 |
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 | 2 | 24 | 42 | 2/2 | 12.0 | 12.0 | 100.0 | 2/2 · 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.
Knowledge management is one of the most important strategic resources of the firm which has been ascertained to many organizations to acquire and apply it before their competitor for achieving competitive advantages. Similarly, due to rising environmental awareness among customers, governments, NGOs, and researchers, firms are facing increasing pressure to implement environmental management practices in their operations. The purpose of this paper is to identify the influence of knowledge management capability (KMC) on green supply chain management (GSCM) practices adoption of the manufacturing firm and subsequently the impact on firm performance. The data were collected from 262 Bangladeshi textile manufacturing firms and analyzed using structural equation modeling, typifying that exploratory and quantitative research. Drawing upon the resource-based view the study revealed that KMC has a significant positive effect on internal and external-GSCM practices adoption. Further, the study revealed that internal-GSCM practices have significantly positive effects on both economic and environmental performance while the external-GSCM practice has positive environmental performance but negatively affects economic performance. Finally, this study indicates that KMC is an intuitive resource of a firm that can bring sustainable performance through GSCM practices.
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.
Knowledge management is one of the most important strategic resources of the firm which has been ascertained to many organizations to acquire and apply it before their competitor for achieving competitive advantages. Similarly, due to rising environmental awareness among customers, governments, NGOs, and researchers, firms are facing increasing pressure to implement environmental management practices in their operations. The purpose of this paper is to identify the influence of knowledge management capability (KMC) on green supply chain management (GSCM) practices adoption of the manufacturing firm and subsequently the impact on firm performance. The data were collected from 262 Bangladeshi textile manufacturing firms and analyzed using structural equation modeling, typifying that exploratory and quantitative research. Drawing upon the resource-based view the study revealed that KMC has a significant positive effect on internal and external-GSCM practices adoption. Further, the study revealed that internal-GSCM practices have significantly positive effects on both economic and environmental performance while the external-GSCM practice has positive environmental performance but negatively affects economic performance. Finally, this study indicates that KMC is an intuitive resource of a firm that can bring sustainable performance through GSCM practices.
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 |