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: 7 / 7 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 18:18 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.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 13 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 13 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 0 | 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 7 / 7 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 — 2026-10-22T18:18:17.761684+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 0 | 7 | 7/7 |
| 2023 | All selected publications | 0 | 7 | 7/7 |
| 2024 | All selected publications | 2 | 7 | 7/7 |
| 2025 | All selected publications | 8 | 7 | 7/7 |
| 2026 | All selected publications | 6 | 7 | 7/7 |
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 |
|---|---|
| 2023 | 1 |
| 2024 | 5 |
| 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 | 7 | 15 | 16 | 7/7 | 2.14 | 2 | 71.4 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
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.
Afghanistan and most developing, landlocked countries must prioritize regional diplomacy and make strategic alliances to eliminate economic difficulties and create opportunities for trade, partnerships, and markets that will encourage further integration. This research aims to identify workable value chains for integration under the Belt and Road Initiative (BRI) and evaluate their suitability by considering their potential volume. This research investigates how BRI is decreasing trade restrictions and increasing connectivity through the use of quantitative techniques and a survey research approach. The research results demonstrate that BRI can have a major impact on Afghanistan's economic situation, particularly with trade volume, trade restrictions, diplomacy, negotiations, and implementation of such kinds of projects. The Initiative has the potential to significantly reduce trade restrictions, and challenges, and enhance trade connectivity by utilizing significant infrastructure investments and investment in Afghanistan. However, security risks and political concerns prevent the BRI from achieving maximum connectivity in this country. This study contributes to thoughtful strategic alliances such as BRI can facilitate Afghanistan's trade connectivity, sustainable development, and economic integration by giving stakeholders and policymakers useful data to accomplish opportunities and know obstacles.
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.
The main purpose of the study is to shed light on how the Belt and Road Initiative, Foreign Direct Investment, and Regional Cooperation affect Afghanistan's Trade Balance. In research, we used a mixed-methods approach to thoroughly investigate the relationships among distinct variables. The exploratory factor analysis (EFA) and reliability analysis were carried out using SPSS and AMOS was utilized in the research to validate the data and establish a measurement model, for confirmatory factor analysis (CFA). The study found that integration with BRI has a significant impact on Afghanistan’s trade balance (M = 3.925, SD = 1.048), with effective regional cooperation Afghanistan can enhance trade, ease barriers, and promote cooperation with neighboring countries (M = 4.017, SD = 1.095). Trade Balance (M = 3.938, SD = 1.112), Also, the importance of attracting FDI is to boost exports and reduce dependence on imports and it is necessary to implement policies for sustainable development (M = 3.983, SD = 1.096). To promote trade, and cooperation and ensure prosperity in the region, the governments can utilize strategic cooperation and create investment opportunities. In conclusion, the study found the importance of cooperation, strategies, and attracting FDI to address both trade facilitation and promote investment for a positive impact on trade balance and influence development.
The study explores relationships between renewable energy variables across African nations, focusing on South Africa (RSA) and the Democratic Republic of Congo (DRC) using panel data from 2013 to 2022. Key variables include Chinese mining sector FDI (in USD), renewable energy capacity (in MW), technological advancements, policy frameworks, natural resource management, technological adoption, and risk perception. Employing descriptive analysis, Pearson correlation, and linear regression, the study reveals notable findings. Descriptive statistics highlight significant diversity in renewable energy capacity, policy support, and mining sector FDI levels across African countries, reflecting varying development stages and investment climates. The DRC exhibits slower FDI growth compared to South Africa. Correlation analysis indicates that Chinese FDI strongly correlates with technological advancements, favorable policy frameworks, and renewable energy capacity, while high-risk perceptions discourage investment and capacity development. Regression results identify technological advancements as the most significant predictor of FDI and sustainable growth, emphasizing its critical role in attracting investment. Although policy frameworks and risk perception show potential, further exploration with larger datasets is required to uncover their moderating or indirect effects. The study underscores the interdependence between technological development, investment flows, and renewable energy capacity. It calls on African nations to prioritize technological advancements, foster partnerships with Chinese firms for technology transfer, and implement robust policy frameworks. Policymakers should focus on political stability, economic reforms, tax incentives, streamlined approvals, co-financing mechanisms, and addressing structural challenges to effectively attract FDI and drive sustainable growth.
Afghanistan and most developing, landlocked countries must prioritize regional diplomacy and make strategic alliances to eliminate economic difficulties and create opportunities for trade, partnerships, and markets that will encourage further integration. This research aims to identify workable value chains for integration under the Belt and Road Initiative (BRI) and evaluate their suitability by considering their potential volume. This research investigates how BRI is decreasing trade restrictions and increasing connectivity through the use of quantitative techniques and a survey research approach. The research results demonstrate that BRI can have a major impact on Afghanistan's economic situation, particularly with trade volume, trade restrictions, diplomacy, negotiations, and implementation of such kinds of projects. The Initiative has the potential to significantly reduce trade restrictions, and challenges, and enhance trade connectivity by utilizing significant infrastructure investments and investment in Afghanistan. However, security risks and political concerns prevent the BRI from achieving maximum connectivity in this country. This study contributes to thoughtful strategic alliances such as BRI can facilitate Afghanistan's trade connectivity, sustainable development, and economic integration by giving stakeholders and policymakers useful data to accomplish opportunities and know obstacles.
This paper aims to identify the factors influencing companies’ performance of Textiles and Apparel Industries in Ethiopia, particularly, in the Eastern Industrial Zone. The researchers employed Maximum Likelihood with Robust (MLR) in Confirmatory Factor Analysis Model (CFA) for survey data gathered from the employees of the Textiles and Apparel industries operating in the Eastern Industrial Zone in Ethiopia which took place from 2020-2021. Main findings of this study indicate that (i) one-unit enhancement in Companies’ Performance yields a favorable impact on raw materials & financial situation; (ii) human capital experiences a rise in the expected units followed, (iii) competitive environment displaying an increase of the units as well, (iv) policies environment demonstrates an improvement, finally (v) organizational development exhibits growth of the expected units as well. This study has identified that these five endogenous latent variables are positively influenced by exogenous latent variable, Companies’ Performance because all have shown the results above the expectation. This study brings insight to investors how they boost their companies’ performance and develops the best strategies for the success of their companies.
The main purpose of the study is to shed light on how the Belt and Road Initiative, Foreign Direct Investment, and Regional Cooperation affect Afghanistan's Trade Balance. In research, we used a mixed-methods approach to thoroughly investigate the relationships among distinct variables. The exploratory factor analysis (EFA) and reliability analysis were carried out using SPSS and AMOS was utilized in the research to validate the data and establish a measurement model, for confirmatory factor analysis (CFA). The study found that integration with BRI has a significant impact on Afghanistan’s trade balance (M = 3.925, SD = 1.048), with effective regional cooperation Afghanistan can enhance trade, ease barriers, and promote cooperation with neighboring countries (M = 4.017, SD = 1.095). Trade Balance (M = 3.938, SD = 1.112), Also, the importance of attracting FDI is to boost exports and reduce dependence on imports and it is necessary to implement policies for sustainable development (M = 3.983, SD = 1.096). To promote trade, and cooperation and ensure prosperity in the region, the governments can utilize strategic cooperation and create investment opportunities. In conclusion, the study found the importance of cooperation, strategies, and attracting FDI to address both trade facilitation and promote investment for a positive impact on trade balance and influence development.
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.
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 |