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: 34 / 34 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 07:23 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.
32 / 34 with data · 2 missing or unmatched. Percentages use all 34 selected publications.
32 / 34 with data · 2 missing or unmatched. Percentages use all 34 selected publications.
34 / 34 with data · 0 missing or unmatched. Percentages use all 34 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| 2025 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 12 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 23 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 15 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 14 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 27 | 9 | 9/9 | 9/9 |
| 2025 | All selected publications | 5 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 11 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 18 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 29 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 42 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 16 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 27 | 9 | 9/9 | 9/9 |
| 2025 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| 2026 | 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 34 / 34 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): 2026-10-21T00:49:27.858709+00:00 — 2026-10-21T07:23:08.996235+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 | 34 | 34/34 |
| 2018 | All selected publications | 1 | 34 | 34/34 |
| 2019 | All selected publications | 0 | 34 | 34/34 |
| 2020 | All selected publications | 2 | 34 | 34/34 |
| 2021 | All selected publications | 1 | 34 | 34/34 |
| 2022 | All selected publications | 26 | 34 | 34/34 |
| 2023 | All selected publications | 29 | 34 | 34/34 |
| 2024 | All selected publications | 31 | 34 | 34/34 |
| 2025 | All selected publications | 44 | 34 | 34/34 |
| 2026 | All selected publications | 22 | 34 | 34/34 |
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 |
|---|---|
| 2014 | 1 |
| 2016 | 1 |
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 4 |
| 2022 | 6 |
| 2023 | 5 |
| 2024 | 9 |
| 2025 | 4 |
| 2026 | 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 | 34 | 106 | 158 | 34/34 | 3.12 | 2.0 | 79.4 | 34/34 · 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 examines and analyzes the relationship between Green Human Resource Management (GHRM) practices, such as Green Recruitment, Green Training on Turnover Intention mediated by the Work Environment. The sample is 90 employees of the Millennial generation of State-Owned Enterprises, namely PT. Angkasa Pura I (Persero) Adi Soemarmo International Airport Surakarta branch. While the data analysis uses the Structural Equation Model (SEM) with Partial Least Square (PLS). The results show that; (1) There is a negative effect between Green Recruitment on turnover intention, (2) there is a negative effect between Green Training on Turnover Intention, (3) there is a negative effect between the Work Environment on Turnover Intention, (4) there is a significant effect between Green Recruitment on Turnover Intention mediated by Work Environment variables, (5) there is a significant effect between Green Training on Turnover Intention mediated by Work Environment variables in Millennial generation employees of PT. Angkasa Pura I (Persero) Adi Soemarmo International Airport Surakarta branch.
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.
This study aims to investigate the mediation effect of green product and green process innovation by focusing on the role of internal and external environmental orientation over firm performance to expand researches on environmental orientation. With this aim, a conceptual model has been recommended by unifying institutional theory and natural resource-based view. Data collected from 315 firms who have ISO14001 Environmental Management Certificate and took part in Turkey’s first and second ISO 500 Industrial Enterprises list in 2018 have been tested by using SmartPLS 3 software as part of Structural Equation Modelling. Empirical proofs show that internal and external environmental orientation has a positive effect on both green product innovation and green process innovation. Additionally, it has been concluded that internal environmental orientation has a direct positive effect on firm performance, while external environmental orientation has an indirect effect, which is through green product and green process innovation. The reason could be rooted in the ecological responsibility feeling of internal environmental orientation. External environmental orientation, though, could be limited only with fulfilling legal requirements with legitimacy acquiring desire. Firms strategically directed to the green product and green process innovation by doing more than the laws require and taking the lead could increase their firm performance. These findings contribute to theory and practice, enriching our understanding of how two dimensions of environmental orientation affect firm performance.
Plastic has become the most waste in the world. No less evidence that the plastic we buy directly or indirectly from modern retail has caused global waste that cannot be disposed of from the face of the earth. Therefore, studies need to find out what factors can be used to reduce consumptive activities on plastic bags in modern retail. In this study, research data was obtained from businesspeople to confirm the factors that reduce purchase intention so that customers and businesspeople of modern retail can use alternatives to plastic bags such as paper bags, biodegradable bags, or goody bags. By exploring questionnaire data using SEM PLS, it was found that the elements of Green Procurement, Green Supply Chain Management, Green Marketing Strategy, and Customers' Environmental Attitudes positively and significantly became the main role in influencing purchase intention with a green concept to replace single-use plastic bags in modern retail.
Research on organizational sustainability (OS) remains a global debate. Consequently, organizations have become increasingly interested in adopting leadership styles to drive sustainability goals. Thus, in the present study we examined the impact of green transformation leadership (GTL) on OS and its dimensions (environmental, social, and economic), focusing on the mediating role of green talent management (GTM). We employed a quantitative methodology, using questionnaires for data collection and SPSS (version 25) and AMOS (version 23) for data analysis. The sample consisted of lower-level leadership, including executive management and department heads from Egypt’s renewable energy organizations. We gathered 250 valid responses. The findings indicate that GTL has a positive impact on OS both directly and indirectly through GTM. Also, we found that GTM mediates the relationship between GTL and OS. These findings strengthen the view that the effectiveness of GTL is fundamentally reflected in the adoption of sustainable strategies and is the cornerstone for enabling an organization to achieve OS. Our research addresses a gap in the literature by examining the impact of GTL on OS while considering the impact of GTM, which previous researchers did not consider. In addition, we provide managerial implications for renewable energy organizations as well as limitations and directions for future research.
This research explores the social and environmental impacts of fast fashion in Durban-based SMME, focusing on sustainability opportunities and challenges in the local clothing industry. Adopting a qualitative research design, using content analysis and snowball sampling, the study investigates the practices of apparel enterprises, the role of consumer behaviour, and the adoption of green business models and circular economy principles. Key findings indicate that there is greater awareness and implementation of sustainable practices in large businesses, including the use of renewable energy and fair labour practices. But there is insignificant implementation by small businesses owing to financial constraints and resource limitations. The study finds gaps in consumer education about the negative impacts of fast fashion and calls for specific education and policy intervention. The research uses dynamic capabilities theory to justify how companies reshape resources in reaction to pressures for sustainability and defines community involvement as a new aspect of sustainable action. Its recommendations involve investment in sustainable design, education for consumers, and collaboration among multiple stakeholders. The research adds to sustainability discourse and calls for localized, adaptive strategies to mitigate the adverse effects of fast fashion in emerging markets.
The study aims to examine and analyze the role of strategic flexibility on green business performance with eco innovation and green manufacturing as mediating variables. This research adopts a quantitative approach with a purposive sampling technique. The object of the study is manufacturing companies in East Java that are registered under the PROPER program. A total of 136 respondents participated in this study. Data were collected using a questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research results show that strategic flexibility significantly influences green business performance, strategic flexibility has a significant effect on eco innovation, strategic flexibility significantly affects green manufacturing, eco innovation and green manufacturing positively influence green business performance, and eco innovation and green manufacturing partially mediate the effect of strategic flexibility on green business performance. The importance of green business performance lies in its ability to support long-term environmental and economic sustainability through innovation and operational transformation. Companies with greater flexibility are more likely to adopt green practices and respond to dynamic environmental changes effectively. This research makes a theoretical contribution by supporting the Resource-Based View (RBV), which highlights the importance of internal resources and capabilities in achieving sustainability goals. Practically, the study provides insights for companies to strengthen strategic adaptability and promote innovation-driven environmental practices.
This study examined the impact of Green Human Resource Management (Green HRM) practices on promoting decent work conditions in Ilala Municipal, Tanzania. Specifically, the research focused on key indicators of decent work, including fair wages, a safe working environment, social protection, job security, and respect and dignity in the workplace. The study employed a mixed-method approach, combining both quantitative surveys and qualitative interviews, to gather insights on the extent to which Green HRH aligned with Decent works Data were collected from 120 respondents, including employees and HR managers from the public and private sectors, as well as HR professionals from the industrial, service, and retail sectors. The findings revealed that the implementation of Green HRM practices, such as environmental training, sustainable recruitment, eco-friendly workplace policies, and performance appraisal for sustainability, positively influenced decent work conditions. Employees expressed higher levels of job satisfaction, work-life balance, health and safety, and opportunities for growth. The study concluded that Green HRM not only fosters environmental sustainability but also enhances employee well-being by promoting a supportive and secure work environment. Recommendations include strengthening employee engagement in green initiatives, improving health and safety measures, expanding social protection, and promoting a culture of respect and dignity. The study contributes to the growing body of literature on the intersection of sustainability and human resource management and suggests areas for future research, including the role of digital transformation and sector-specific analyses of Green HRM practices.
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.
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 |