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 — 25 Oct 2026 05:19 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 21 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 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 | 3 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 20 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 2 | 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 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): 2026-10-21T07:22:52.667275+00:00 — 2026-10-25T05:19:59.515888+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 5 | 6 | 6/6 |
| 2023 | All selected publications | 4 | 6 | 6/6 |
| 2024 | All selected publications | 9 | 6 | 6/6 |
| 2025 | All selected publications | 11 | 6 | 6/6 |
| 2026 | All selected publications | 10 | 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 |
|---|---|
| 2021 | 1 |
| 2023 | 1 |
| 2024 | 3 |
| 2025 | 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 | 6 | 36 | 39 | 6/6 | 6.0 | 5.0 | 100.0 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The 21st century has witnessed a rapid surge in industrial pollution, accompanied by the depletion of natural resources, prompting a collective call to action. As a result, the greening of corporations and ecological sustainability has emerged as a matter of paramount importance for decision-makers worldwide. This study, thereby, aims to examine the implementation of environmentally responsible (Green) human resource management practices in the health sector and their influence on organizational sustainability performance. Methodologically, a descriptive approach was employed, utilizing a questionnaire survey to collect data from 250 healthcare employees within Pakistan's healthcare sector. The study's statistical outcomes indicate that green hiring positively influences economic performance but not social and environmental performance. However, green training, involvement, performance management, and compensation are all positively related to organizational sustainability performance, encompassing social, economic, and environmental aspects in Pakistan’s healthcare sector. By summing up, this study concludes the significance of customizing green HR practices for enhancing sustainability performance in the healthcare sector. It underscores the crucial role played by green human resource management practices and their impact on organizational sustainability performance in a developing country context, specifically in Pakistan.
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.
Green human resource management, or GHRM, is a relatively new idea but is already thought to be an essential tool for fostering sustainable behavior in businesses. We intended to find out how GHRM affects worker pro-environmental behaviors (PEBs) by using worker engagement (WENG) and the green psychological climate (GPC) as mediators. The study tested and analyzed the suggested model using the PLS-SEM technique via SmartPLS 4. To gather data from 324 valid respondents—HR managers and employees—we used a quantitative study approach. These participants were chosen randomly from three industrial parks in Afghanistan. The analysis's findings demonstrated that GHRM possessed a positive impact on employees' PEBs. Furthermore, the employees' pro-environmental behaviors PEBs are fostered by the green psychological climate GPC and worker engagement WENG. The study presents new findings indicating that, in the Afghanistan industrial context, GHRM both directly and indirectly affects employees' PEBs through the partially mediating effects of GPC and WENG. The present research is significant because it fills in the gaps in the literature and offers new perspectives on GHRM. Notably, there aren't many GHRM studies that focus on Afghanistan's industrial sector. Furthermore, in analyzing these connections and evaluating the mediation effects, this study contributes to the body of knowledge currently available on PEBs. Additionally, this study makes a practical contribution to the industrial sector by offering guidance on how to improve managers' understanding of GHRM policies, enhance employee PEBs at work, and foster an environmentally friendly organizational culture.
Green human resource management practices are widely accepted and are essential for encouraging sustainable behavior in organizations. We aimed to ascertain the relationship between employees' eco-friendly behavior and Green HRM practices by employing environmental awareness as a mediator. we analyzed and tested the suggested model Employing the PLS-SEM method through SmartPLS 4. The current study employed a quantitative research approach to collect data from 346 actual respondents. From six major public universities in Afghanistan, these participants were selected randomly. Based on the investigation, it was shown that green recruitment and selection, green training and development, green performance management, and green reward and compensation possessed a positive impact on employees' eco-friendly behavior. Additionally, environmental awareness promotes eco-friendly conduct among the staff. The research provides updated outcomes showing that, through the partially moderating impacts of environmental awareness, green HRM practices in Afghanistan's public universities both directly and indirectly influence employees' eco-friendly behavior. The current study is noteworthy since it provides fresh insights into green HRM. Additionally, by examining these relationships and assessing the mediation effects, this work adds to the amount of literature already accessible on environmentally friendly behaviors. Furthermore, current research makes a practical contribution to public universities by suggesting guidelines on how to increase academicians' awareness of green HRM practices, enhance eco-friendly behavior at work, and develop environmentally friendly behavior.
Individuals are becoming more aware of the negative effects of the rapid fashion industry and are shifting to second-hand clothes. Due to its potential to minimize clothing waste, purchasing second-hand garments is reflected as environmentally friendly. Using an online questionnaire survey, this research examines the factors influencing consumers’ purchasing intention of second-hand clothing via the mediation of individualism and product attitude by applying the Statistical Package for the Social Sciences (SPSS) 25.0 and the Analysis of Moment Structures (AMOS) 25.0 to analyze the data collected information. The proposed models are expanded by additional construct factors to evaluate their influence on purchase intention. The results indicate that online second-hand clothing purchase intention (PI) is partially explained by the theory of planned behavior (TPB) with product attitude (PA) and individualism (IN). Among the additional factors encompassed, consumer perceived value (CPV) and consumer perceived risk (CPR) negatively impacted the consumer’s intention to buy second-hand clothing. Additionally, this study validates the effectiveness of the integrated model of TPB in interpreting customers’ buying intentions for second-hand clothing. This study also yielded theoretical and managerial implications, as well as proposals for further research.
Individuals are becoming more aware of the negative effects of the rapid fashion industry and are shifting to second-hand clothes. Due to its potential to minimize clothing waste, purchasing second-hand garments is reflected as environmentally friendly. Using an online questionnaire survey, this research examines the factors influencing consumers’ purchasing intention of second-hand clothing via the mediation of individualism and product attitude by applying the Statistical Package for the Social Sciences (SPSS) 25.0 and the Analysis of Moment Structures (AMOS) 25.0 to analyze the data collected information. The proposed models are expanded by additional construct factors to evaluate their influence on purchase intention. The results indicate that online second-hand clothing purchase intention (PI) is partially explained by the theory of planned behavior (TPB) with product attitude (PA) and individualism (IN). Among the additional factors encompassed, consumer perceived value (CPV) and consumer perceived risk (CPR) negatively impacted the consumer’s intention to buy second-hand clothing. Additionally, this study validates the effectiveness of the integrated model of TPB in interpreting customers’ buying intentions for second-hand clothing. This study also yielded theoretical and managerial implications, as well as proposals for further research.
Green human resource management, or GHRM, is a relatively new idea but is already thought to be an essential tool for fostering sustainable behavior in businesses. We intended to find out how GHRM affects worker pro-environmental behaviors (PEBs) by using worker engagement (WENG) and the green psychological climate (GPC) as mediators. The study tested and analyzed the suggested model using the PLS-SEM technique via SmartPLS 4. To gather data from 324 valid respondents—HR managers and employees—we used a quantitative study approach. These participants were chosen randomly from three industrial parks in Afghanistan. The analysis's findings demonstrated that GHRM possessed a positive impact on employees' PEBs. Furthermore, the employees' pro-environmental behaviors PEBs are fostered by the green psychological climate GPC and worker engagement WENG. The study presents new findings indicating that, in the Afghanistan industrial context, GHRM both directly and indirectly affects employees' PEBs through the partially mediating effects of GPC and WENG. The present research is significant because it fills in the gaps in the literature and offers new perspectives on GHRM. Notably, there aren't many GHRM studies that focus on Afghanistan's industrial sector. Furthermore, in analyzing these connections and evaluating the mediation effects, this study contributes to the body of knowledge currently available on PEBs. Additionally, this study makes a practical contribution to the industrial sector by offering guidance on how to improve managers' understanding of GHRM policies, enhance employee PEBs at work, and foster an environmentally friendly organizational culture.
The 21st century has witnessed a rapid surge in industrial pollution, accompanied by the depletion of natural resources, prompting a collective call to action. As a result, the greening of corporations and ecological sustainability has emerged as a matter of paramount importance for decision-makers worldwide. This study, thereby, aims to examine the implementation of environmentally responsible (Green) human resource management practices in the health sector and their influence on organizational sustainability performance. Methodologically, a descriptive approach was employed, utilizing a questionnaire survey to collect data from 250 healthcare employees within Pakistan's healthcare sector. The study's statistical outcomes indicate that green hiring positively influences economic performance but not social and environmental performance. However, green training, involvement, performance management, and compensation are all positively related to organizational sustainability performance, encompassing social, economic, and environmental aspects in Pakistan’s healthcare sector. By summing up, this study concludes the significance of customizing green HR practices for enhancing sustainability performance in the healthcare sector. It underscores the crucial role played by green human resource management practices and their impact on organizational sustainability performance in a developing country context, specifically in Pakistan.
Green human resource management practices are widely accepted and are essential for encouraging sustainable behavior in organizations. We aimed to ascertain the relationship between employees' eco-friendly behavior and Green HRM practices by employing environmental awareness as a mediator. we analyzed and tested the suggested model Employing the PLS-SEM method through SmartPLS 4. The current study employed a quantitative research approach to collect data from 346 actual respondents. From six major public universities in Afghanistan, these participants were selected randomly. Based on the investigation, it was shown that green recruitment and selection, green training and development, green performance management, and green reward and compensation possessed a positive impact on employees' eco-friendly behavior. Additionally, environmental awareness promotes eco-friendly conduct among the staff. The research provides updated outcomes showing that, through the partially moderating impacts of environmental awareness, green HRM practices in Afghanistan's public universities both directly and indirectly influence employees' eco-friendly behavior. The current study is noteworthy since it provides fresh insights into green HRM. Additionally, by examining these relationships and assessing the mediation effects, this work adds to the amount of literature already accessible on environmentally friendly behaviors. Furthermore, current research makes a practical contribution to public universities by suggesting guidelines on how to increase academicians' awareness of green HRM practices, enhance eco-friendly behavior at work, and develop environmentally friendly behavior.
The relationship between green human resource management (GHRM) and environmental performance (EP) has received little attention in the past, despite the hotel management discipline's mediation analysis being one of the areas examined. To fill this research gap, the study expands upon the Ability-Motivation-Opportunity (AMO) and social identity theory (SIT). It also goes beyond what has already been written by examining the relationship between environmental performance and green human resource management by examining the roles of Employee Green Commitment (EGC) and Organizational Citizenship Behavior towards the Environment (OCBE). According to a survey conducted on 273 hotel employees, it has been found that GHRM plays a positive and significant role in promoting Organizational Citizenship Behavior towards the Environment (OCBE), Employee Green Commitment (EGC), and environmental performance (EP) of hotels. Additionally, implementing green human resource management can have a considerable and favorable influence on both environmental performance and employees' commitment to eco-friendliness. It was observed that organizational citizenship behavior toward the environment and employee green commitment play a significant role in mediating the relationship between Green human resource management and hotel environmental performance. The data from the survey were analyzed using Smart-PLS 4 which involved conducting validity and reliability tests on the instruments and testing the hypothesized relationships using SEM analysis. Based on this report, it is recommended that HR managers and hotel top management develop green HRM policies to promote sustainability in the hospitality industry.
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 |