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: 14 / 14 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 — 23 Oct 2026 06:14 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.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 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 | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| 2025 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| 2025 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
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 14 / 14 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): 2026-10-21T07:22:56.421797+00:00 — 2026-10-23T06:14:54.430902+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 | 14 | 14/14 |
| 2018 | All selected publications | 0 | 14 | 14/14 |
| 2019 | All selected publications | 0 | 14 | 14/14 |
| 2020 | All selected publications | 0 | 14 | 14/14 |
| 2021 | All selected publications | 0 | 14 | 14/14 |
| 2022 | All selected publications | 0 | 14 | 14/14 |
| 2023 | All selected publications | 0 | 14 | 14/14 |
| 2024 | All selected publications | 0 | 14 | 14/14 |
| 2025 | All selected publications | 2 | 14 | 14/14 |
| 2026 | All selected publications | 0 | 14 | 14/14 |
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 |
| 2022 | 1 |
| 2024 | 6 |
| 2025 | 3 |
| 2026 | 3 |
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 Business Ecosystem & Strategy Bussecon International Academy | 7 | 0 | 2 | 7/7 | 0.0 | 0 | 0.0 | 7/7 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 7 | 0 | 0 | 7/7 | 0.0 | 0 | 0.0 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
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 examines the impact of green perceived value and green perceived risk on repurchase intention mediated by green trust in Adidas green products. This study is explanatory and employs a quantitative methodology. The study's population comprised individuals who purchased Adidas green products. This study employs a purposive sampling technique. The sample size consists of 190 respondents. The data utilized in this study were gathered by questionnaire. The acquired data were analyzed using SEM (Structural Equation Modeling) PLS. The findings indicated that Green Perceived Value positively enhances repurchase intention and trust. Furthermore, Green Perceived Risk adversely affects repurchase intention and trust, while Green Trust enhances repurchase intention. Green Trust can enhance the relationship between Green Perceived Value and Green Perceived Risk regarding repurchase intention, but its mediation role is partial. This study highlights that to increase repurchase intention, Adidas should focus on high green perceived value through consistent product quality and emphasize its environmental commitment to attract younger consumers. Although green perceived risk is low, Adidas should minimize negative risks and maintain product quality. Additionally, green trust plays a crucial role in strengthening consumer confidence and attracting new customers.
The purpose of the study is to ascertain the influence of ecolabels in the consumption of certified green products. It explores ecolabels in Durban, hoping to gain valuable insights into ecolabels’ role in influencing the consumption of certified green products. The study employed a quantitative and a non-probability sampling method to understand the influence of ecolabels among green consumers in Durban. To ensure that the data represents the diversity of Durban consumers, a random sampling method was adopted. The data was collected using questionnaires and analysed using the IBM SPSS Version 25. The study employed a sample of 384 customers from retail malls within selected Durban suburbs. The findings revealed that consumers generally have a positive perception of ecolabels and are likely to recommend certified green products. However, the data also revealed that there is scepticism around certified green products as they are considered expensive and can perhaps be attributed to the high cost of certification, credibility issues and the cost associated with the ecolabelling. There is a potential trend towards wider acceptance, with more respondents trusting the authenticity of ecolabels than not. The study also found that older respondents and those with higher income tend to have a more positive perception of ecolabels, potentially due to higher disposable income and greater familiarity with the concept. This suggests that addressing concerns about cost and credibility could further increase positive consumer perception of ecolabels. Businesses can use these findings to develop strategies to address consumer concerns about the cost and credibility of certified green products. They can also target marketing efforts towards older demographics and higher-income consumers who are more receptive to ecolabels. Policymakers can use the findings to evaluate the effectiveness of existing ecolabeling programs and also develop strategies to increase consumer awareness and trust in ecolabels, especially younger audiences.
This study investigates the structural impact of greenwashing perceptions on green purchase intentions through the dual mediating mechanisms of green skepticism and green confusion within the local skincare brand context in Indonesia. Grounded in the Stimulus–Organism–Response (S-O-R) framework, a quantitative research design was executed using Partial Least Squares Structural Equation Modeling (PLS-SEM) on a purposive sample of 105 Generation Z consumers in Sleman Regency, Special Region of Yogyakarta. The findings demonstrate that greenwashing perceptions directly suppress green purchase intention (β=−0.460,p=0.014) while significantly driving both green skepticism (β=0.660,p=0.005) and green confusion (β=0.741,p<0.001). Furthermore, green skepticism (β=−0.244,p<0.001) and green confusion (β=−0.252,p<0.001) exert negative effects on green purchase intention. Specific indirect effect testing confirms that both green skepticism (VAF=25.9%) and green confusion (VAF=28.9%) function as partial complementary mediators. This study advances sustainable business ecosystem strategy by illustrating how deceptive environmental communications trigger parallel psychological barriers that diminish consumer engagement. Managerial recommendations prioritize transparent sustainability disclosures, verifiable third-party eco-certifications, and educational branding to build long-term stakeholder trust.
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.
Sustainability has emerged as a strategic imperative for small manufacturing enterprises, particularly in light of increasing expectations to operate responsibly across economic, social, and environmental domains. This study investigates the interconnectedness of the Triple Bottom Line (TBL) elements and their collective influence on sustainable business practices. Rather than examining these dimensions in isolation, the research adopts a holistic lens to explore how their interplay shapes organisational behaviour and long-term viability within the small manufacturing sector in KwaZulu-Natal, South Africa. Drawing on both theoretical frameworks and empirical evidence, the study offers insights into how enterprises can integrate TBL principles into their strategic orientation to foster resilience and sustained growth. The findings reveal that a balanced and synergistic approach to economic performance, social responsibility, and environmental stewardship enhances the capacity of firms to adapt, innovate, and thrive in complex operating environments. A structured questionnaire was administered to a stratified sample of 450 small manufacturing enterprises, and the resulting data were analysed using correlation techniques to uncover patterns and relationships among key variables. The study contributes practical guidance for business leaders and policymakers seeking to leverage the TBL framework not merely as a reporting mechanism, but as a transformative tool for embedding sustainability into core organisational processes.
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.
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 |