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: 3 / 3 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 07:22 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 11 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 18 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 14 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 30 | 2 | 2/2 | 2/2 |
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 3 / 3 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): 2026-10-21T00:49:36.215678+00:00 — 2026-10-21T07:22:52.686044+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 5 | 3 | 3/3 |
| 2023 | All selected publications | 6 | 3 | 3/3 |
| 2024 | All selected publications | 12 | 3 | 3/3 |
| 2025 | All selected publications | 15 | 3 | 3/3 |
| 2026 | All selected publications | 6 | 3 | 3/3 |
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 |
|---|---|
| 2021 | 1 |
| 2023 | 2 |
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 | 3 | 29 | 44 | 3/3 | 9.67 | 11 | 100.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
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.
This study assesses the effect of green human resource management (GHRM) practices (overall) on the organization’s environmental performance (OEP) and to identify how the organizations can improve their EP by using GHRM practices through Green Employee Empowerment (GEE). The study was based on a questionnaire survey of 340 responses from the manufacturing sectors; the key respondents were one from each industry limited to top management, HR manager, quality manager, or employee of manufacturing firms. The questionnaires were tested for reliability and validity. To evaluate the hypothesis, data was examined using the PLS path modeling technique. The empirical findings show that the GHRM practices (overall) have a significant effect on OEP, and GEE mediates their relation. This research has theoretically contributed to the green HRM/HRM literature by establishing a link between GHRM practices and their EP outcomes in manufacturing companies. This study adds to the body of knowledge by looking at the indirect impacts of GHRM practices on OEP via GEE. The findings suggested that GHRM practices might lead employees to green empowerment in order to improve environmental performance.
The specific goal of this study is to find out how retail investors consider company ESG issues while making investment decisions, with their moral awareness (MA) serving as a moderator. The framework's foundations are the norm activation model (NAM) and the theory of planned behavior (TPB). The report is based on a questionnaire survey that was completed by 599 retail investors in Dhaka and Chattagram, Bangladesh. To examine the data and verify the theories, the PLS path modeling approach is employed. Six hypotheses are investigated using structural equation modeling; five are found to be significant and one to be non-significant. All of the hypotheses are positive. The findings of the research demonstrate that when making investment decisions, investors take a company's social, environmental, and governance issues into account. The moral awareness of investors seems to influence their investment decisions as well. By presenting empirical data on the relationship between business ESG issues and investment decisions with moderating impacts on investors' moral awareness, the paper advances the field of behavioral finance research. It implies that corporate advertising tactics may support global reporting requirements, draw impact investors, and promote moral and environmental education. To safeguard ESG concerns and promote sustainable growth of the capital market and economy, governments should enact laws, rules, and directives.
The specific goal of this study is to find out how retail investors consider company ESG issues while making investment decisions, with their moral awareness (MA) serving as a moderator. The framework's foundations are the norm activation model (NAM) and the theory of planned behavior (TPB). The report is based on a questionnaire survey that was completed by 599 retail investors in Dhaka and Chattagram, Bangladesh. To examine the data and verify the theories, the PLS path modeling approach is employed. Six hypotheses are investigated using structural equation modeling; five are found to be significant and one to be non-significant. All of the hypotheses are positive. The findings of the research demonstrate that when making investment decisions, investors take a company's social, environmental, and governance issues into account. The moral awareness of investors seems to influence their investment decisions as well. By presenting empirical data on the relationship between business ESG issues and investment decisions with moderating impacts on investors' moral awareness, the paper advances the field of behavioral finance research. It implies that corporate advertising tactics may support global reporting requirements, draw impact investors, and promote moral and environmental education. To safeguard ESG concerns and promote sustainable growth of the capital market and economy, governments should enact laws, rules, and directives.
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.
This study assesses the effect of green human resource management (GHRM) practices (overall) on the organization’s environmental performance (OEP) and to identify how the organizations can improve their EP by using GHRM practices through Green Employee Empowerment (GEE). The study was based on a questionnaire survey of 340 responses from the manufacturing sectors; the key respondents were one from each industry limited to top management, HR manager, quality manager, or employee of manufacturing firms. The questionnaires were tested for reliability and validity. To evaluate the hypothesis, data was examined using the PLS path modeling technique. The empirical findings show that the GHRM practices (overall) have a significant effect on OEP, and GEE mediates their relation. This research has theoretically contributed to the green HRM/HRM literature by establishing a link between GHRM practices and their EP outcomes in manufacturing companies. This study adds to the body of knowledge by looking at the indirect impacts of GHRM practices on OEP via GEE. The findings suggested that GHRM practices might lead employees to green empowerment in order to improve environmental performance.
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 |