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: 17 / 17 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 08:48 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.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 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 | 6 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 11 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 9 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 14 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 12 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 20 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 16 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 17 / 17 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): 2026-10-21T07:22:44.513137+00:00 — 2026-10-22T08:48:31.135884+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 | 17 | 17/17 |
| 2018 | All selected publications | 0 | 17 | 17/17 |
| 2019 | All selected publications | 0 | 17 | 17/17 |
| 2020 | All selected publications | 0 | 17 | 17/17 |
| 2021 | All selected publications | 0 | 17 | 17/17 |
| 2022 | All selected publications | 3 | 17 | 17/17 |
| 2023 | All selected publications | 13 | 17 | 17/17 |
| 2024 | All selected publications | 10 | 17 | 17/17 |
| 2025 | All selected publications | 17 | 17 | 17/17 |
| 2026 | All selected publications | 6 | 17 | 17/17 |
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 | 6 |
| 2023 | 4 |
| 2024 | 4 |
| 2025 | 1 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 7 | 10 | 22 | 7/7 | 1.43 | 1 | 57.1 | 7/7 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 9 | 24 | 26 | 9/9 | 2.67 | 1 | 66.7 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
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.
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.
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.
Although many studies on green marketing were conducted, factors influencing consumers toward their green purchases, for instance, perceived consumer effectiveness, still need to be explored. This study investigates factors such as eco-labels, product attributes, perceived consumer effectiveness, and environmental concern about green product purchases. The study surveyed 200 Indonesian students who purchased and used The Body Shop products. Overall, all the proposed hypotheses are supported. Specifically, eco-labels positively affect both product attributes and perceived consumer effectiveness. While both products attributes and perceived consumer effectiveness positively influence environmental concerns. The last hypothesis related to environmental concerns and green purchases also shows a positive relationship. Lastly, a green marketing strategy is discussed and proposed as the study's implication.
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 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.
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.
This study aims to analyze the role of top management support on green social capital with an employee ecological behavior mediation mechanism in the hospital industry in Indonesia. Quantitative analysis was used for data analysis and questionnaires as a data collection technique were disseminated online using Google Forms to 442 employees with random sampling techniques. Data analysis using SEM-PLS with the help of SmartPLS application. The results found that top management support had a significant effect on green social capital. Furthermore, top management support have a significant effect on employee ecological behavior. Then employee ecological behavior has a significant effect on green social capital. In addition, employee ecological behavior mediates in part the influence of top management support on green social capital.
As a country contributing 1.4 tons of plastic waste to the world's waters, Indonesia requires a mature green concept implementation from various stakeholders. However, it is regrettable that no FMCG company has a comprehensive strategy to commit to switching from single-use plastics. This concept enables companies to play in an underutilized niche market. This study fills the knowledge gap by investigating the complex relationship between environmental knowledge, environmental concern, consumer attitudes, and purchase intentions for plastic-bottled beverages. Data were obtained through an online questionnaire distributed to 297 respondents in the East Java. Data were processed using path analysis, revealing that environmental knowledge and concern, as well as consumer attitudes, have a positive and significant relationship with green purchase intention. Environmental knowledge and concern also positively and significantly affect consumer attitudes. Moreover, positive consumer attitudes can reduce the influence of environmental knowledge and concern on purchasing environmentally friendly products. This confirms that positive consumer attitudes towards environmentally friendly products are not the only factor influencing their purchase intentions.
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 |