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: 15 / 15 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 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 00:14 UTC — 21 Oct 2026 00:14 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.
15 / 15 with data · 0 missing or unmatched. Percentages use all 15 selected publications.
15 / 15 with data · 0 missing or unmatched. Percentages use all 15 selected publications.
15 / 15 with data · 0 missing or unmatched. Percentages use all 15 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 7 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 15 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 9 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 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 15 / 15 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): 2026-10-21T00:14:26.928596+00:00 — 2026-10-21T00:14:36.427047+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 | 15 | 15/15 |
| 2018 | All selected publications | 0 | 15 | 15/15 |
| 2019 | All selected publications | 0 | 15 | 15/15 |
| 2020 | All selected publications | 0 | 15 | 15/15 |
| 2021 | All selected publications | 0 | 15 | 15/15 |
| 2022 | All selected publications | 1 | 15 | 15/15 |
| 2023 | All selected publications | 7 | 15 | 15/15 |
| 2024 | All selected publications | 8 | 15 | 15/15 |
| 2025 | All selected publications | 14 | 15 | 15/15 |
| 2026 | All selected publications | 6 | 15 | 15/15 |
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 |
|---|---|
| 2020 | 1 |
| 2022 | 3 |
| 2023 | 2 |
| 2024 | 5 |
| 2025 | 1 |
| 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 | 15 | 20 | 36 | 15/15 | 1.33 | 1 | 53.3 | 15/15 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to explore key drivers of tourism sustainability practices and their impact on the sustainable competitive performance of the tourism accommodation industry. The study adopts an exploratory research design under qualitative research, using semi-structured interviewing of owners and managers of tourism accommodation firms using the TOE framework and RBV theory. The findings reveal that technological sustainability expertise, executive sustainability support, organizational resources and capability, service intermediary sustainability practices, collaborative innovation adoption capability, tourism sustainability regulatory policy, and sustainability practices perceived by residents are the key drivers of TSP. The outcomes also show that tourism sustainability practices have a positive impact on the SCP of accommodation firms. This study makes a theoretical contribution to the literature on tourism sustainability by exploring how TOE antecedents motivate firms to adopt sustainability practices as product innovation, which in turn enhance SCP. Also, this study provides strong backing for the premises of the TOE framework, and RBV theory offers valuable practical insights for managers and owners. This will aid in identifying the pivotal factors influencing TSP and SCP, enabling the implementation of innovative strategies to enhance firm competitiveness. Also, the research can help the government and policymakers formulate sustainable tourism policies to promote tourism innovations. The adoption of sustainable practices has been a focal point for both academic researchers and professionals in the tourism industry. However, there has been insufficient exploration of the TOE drivers that facilitate the integration of tourism sustainability within the context of TAFs in a developing country. Therefore, this study aims to fill this gap in knowledge.
The environmental damage that has occurred so far has sparked concern and concern for the global community. The problem of environmental damage has also received the attention of the wider community, especially Indonesian consumers, starting from air pollution, water pollution, and most phenomenal is the problem of waste pollution. This paper aims to investigate the effects of consumer buying behavior on green products in Indonesia by linking several variables, including prosocial attitudes, green consumption values, and green communication. We conducted questionnaires and obtained data from 220 respondents, which were processed using PLS-SEM. We employed a hybrid analytics method, namely descriptive and statistical analysis using SmartPLS 3. This study shows that (i) prosocial attitudes significantly had a positive effect on green consumption value, (ii) green consumption value significantly had a positive effect on green communication, and (iii) green consumption value significantly had a positive effect on purchasing behavior. Finally, (iv) green communication positively affected purchasing behavior. Lastly, this study provides practical insights into identifying innovation opportunities for green products. Understanding consumer preferences and behavior toward green products enable managers to make effective and competitive marketing and branding decisions.
The use of a product that is not environmentally friendly has become a crucial issue in preserving the environment. The waste from marketing activities, such as plastic waste, is currently becoming a threat to the environment and the economic sector. Companies must understand this problem and respond to it by providing products or services that can minimize environmental damage. The purpose of this study is to examine the influence of green knowledge, green brand, and willingness to be environmentally friendly toward a green purchase behavior. The object of this study is consumers in Bandung City, Indonesia, who have the experience of purchasing environmentally-friendly products such as eco-bag (shopping bags) as a means to minimize plastic waste. This study uses a quantitative method with explanatory research. The samples are taken from 125 respondents who were collected in three days in different places. The results of this study indicate that there is a quite high influence of green knowledge, green brand, and willingness to be environmentally friendly in explaining consumer purchasing behavior. This study provides the implication that in order to increase the purchase of green products, companies need to educate consumers regarding the benefits of using an environmentally-friendly product and provide a brand image that can support and promote green marketing.
This study was conducted to examine the effect of 3D printing cost, 3D printing technology adoption and regulatory compliance on environmental sustainability among 3D printing firms in South Africa. The study also investigated the mediating effect of regulatory compliance on the relationships between 3D printing cost and 3D printing technology adoption on environmental sustainability. The study adopted a deductive research approach, quantitative research method and an explanatory correlational research design. Simple random sampling technique was used to select a total of 152 employees of 3D printing firms in South Africa. Questionnaires served as the data collection instruments, and online data gathering was done using Google Forms. The Statistical Package for Social Sciences (SPSS) version 26 software was used for data coding, data entry, and descriptive statistics. Smart PLS 4 was used to conduct partial Least Squares (PLS) Structural Equation Modelling. Results of the study indicate that a significant negative relationship exists between 3D printing cost and environmental sustainability while a significant positive relationship was found to exist between 3D printing technology adoption and environmental sustainability among 3D printing firms in South Africa. A significant positive relationship also exists between 3D printing regulatory compliance and environmental sustainability. For mediation effects, it was found that 3D printing regulatory compliance negatively mediates the relationship between cost and environmental sustainability. The results also indicated that regulatory compliance does not mediate the relationship between 3D printing technology and environmental sustainability. The study concludes that, in as much as 3D printing costs and technology adoption are essential, regulatory compliance has significant role to play in ensuring the maximization of environmental sustainability in South Africa’s 3D printing industry.
This study aims to determine and analyze the influence of Environmental Concern, Environmental Knowledge, and Perceived Value on Purchase Intention. This is a survey research with the data collection tool used as a questionnaire. The population of this study is the potential consumers of green products in social commerce Instagram. The data sources in this study are primary data from 110 respondents using purposive sampling. The criteria for respondents in this research are potential consumers who are active on social commerce Instagram, potential consumers who intend to buy green products on social commerce Instagram, and potential consumers who know about green products. This research is done with a multiple linear regression method. The study results conclude that: i) Environmental awareness, environmental knowledge, and perceived value have a significant effect on purchase intention, ii) Environmental awareness has a positive and significant influence on purchase intention, and iii) Environmental knowledge has a positive and significant influence. On purchase intention, iv) Perceived value positively and significantly affects purchase intention.
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.
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.
Amid growing consumer and societal expectations for environmental responsibility, this study examines how retailers’ sustainability practices drive customer loyalty through the mediating role of retailer legitimacy and the moderating role of consumer scepticism. Drawing on legitimacy theory, the objective of this study is to develop and test a conceptual model linking sustainability practices, corporate reputation, retailer legitimacy, consumer scepticism, and customer loyalty. Data from a cross-sectional survey of South African retail consumers were analysed using structural equation modelling. The results show that sustainability practices enhance both retailer legitimacy and customer loyalty, with legitimacy significantly mediating the effects of sustainability and corporate reputation on loyalty. Corporate reputation also strongly predicts retailer legitimacy. The study’s novelty lies in being the first to empirically test retailer legitimacy as a mediator in the sustainability–loyalty relationship within retailing, and to reveal the moderating influence of consumer scepticism. From a managerial perspective, the findings underscore the importance of transparent and credible communication of sustainability initiatives in strengthening legitimacy and fostering enduring customer loyalty, particularly in emerging markets where scepticism may be heightened.
The hospitality business faces the complex task of environmental sustainability due to its significant carbon footprint. This field of research remains inadequately examined, particularly in Africa. The research intends to investigate green human resource management and its impact on sustainable performance in a specific hotel in Lagos State, Nigeria. The primary research questions and objectives were addressed through an interpretative paradigm utilising a qualitative case study methodology, employing purposive sampling from a sample size of 10 participants via semi-structured interviews, with the data subjected to thematic analysis. The resource-based view theory served as a framework for the investigation. Furthermore, two primary topics emerged from the study's findings: the existing green human resource management techniques and the impact of green human resource management on employees. Ultimately, the study determined that green human resource management is essential for the sustainability of hotel operations and advocated for the standardisation of green human resource management practices within the selected hotel, while concurrently endorsing ongoing training programs to enhance a workforce dedicated to sustainability. This study significantly contributes to both theory and practice for hotel management leaders and provides practical insights for the hotel industry to enhance environmental management.
This study was conducted to examine the effect of 3D printing cost, 3D printing technology adoption and regulatory compliance on environmental sustainability among 3D printing firms in South Africa. The study also investigated the mediating effect of regulatory compliance on the relationships between 3D printing cost and 3D printing technology adoption on environmental sustainability. The study adopted a deductive research approach, quantitative research method and an explanatory correlational research design. Simple random sampling technique was used to select a total of 152 employees of 3D printing firms in South Africa. Questionnaires served as the data collection instruments, and online data gathering was done using Google Forms. The Statistical Package for Social Sciences (SPSS) version 26 software was used for data coding, data entry, and descriptive statistics. Smart PLS 4 was used to conduct partial Least Squares (PLS) Structural Equation Modelling. Results of the study indicate that a significant negative relationship exists between 3D printing cost and environmental sustainability while a significant positive relationship was found to exist between 3D printing technology adoption and environmental sustainability among 3D printing firms in South Africa. A significant positive relationship also exists between 3D printing regulatory compliance and environmental sustainability. For mediation effects, it was found that 3D printing regulatory compliance negatively mediates the relationship between cost and environmental sustainability. The results also indicated that regulatory compliance does not mediate the relationship between 3D printing technology and environmental sustainability. The study concludes that, in as much as 3D printing costs and technology adoption are essential, regulatory compliance has significant role to play in ensuring the maximization of environmental sustainability in South Africa’s 3D printing 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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |