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: 4 / 4 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: 22 Oct 2026 01:27 UTC — 22 Oct 2026 02:44 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 23 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 29 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-22T01:27:37.915721+00:00 — 2026-10-22T02:44:05.401457+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 6 | 4 | 4/4 |
| 2023 | All selected publications | 8 | 4 | 4/4 |
| 2024 | All selected publications | 7 | 4 | 4/4 |
| 2025 | All selected publications | 6 | 4 | 4/4 |
| 2026 | All selected publications | 2 | 4 | 4/4 |
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 | 4 |
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 | 4 | 23 | 29 | 4/4 | 5.75 | 6.0 | 75.0 | 4/4 · 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.
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.
Green marketing has evolved, although the market share of green products remains considerably low. Green products are part of comprehensive green marketing, and this sort of marketing has progressed to the point that practically every consumer is aware of it. The study focuses on the factors that influence the adoption and consumption patterns of green goods in the greater Durban area. The study used a quantitative, non-probability, and random sampling strategy to discover consumers' sentiments toward the purchase of green products. The data was collected through the use of questionnaires and analyzed using the SPSS. The sample size was 384 customers from retail malls in selected Durban suburbs, representing a wide demographic and cultural background. The study's findings revealed that customers in the greater Durban area are aware of green products. Green products, on the other hand, are regarded as affluent due to their high pricing. This means that companies developing green products will have to look for ways to cut their pricing. The survey also reveals that when customers must pick between green and non-green items, pricing is a crucial factor. The study's findings are limited to the confines of the wider Durban area and cannot be extrapolated.
The general objective of the study was to establish the determinants of the uptake of green practices in lodges and tented camps within Maasai Mara Game Reserve in Narok County Kenya. The specific objectives were: to determine whether environmental awareness and organizational commitment influence the uptake of the green practices in lodges and tented camps. This study was anchored on the Institutional Theory of the Firm. The study adopted a descriptive design.The target population was 371 respondents whocomprised of Managers, Housekeepers, and Chefs. A stratified random sampling technique was used to draw the study sample of 196 respondents. The sample size of the study was calculated using Fishers Exact Test 1991 formula. The study used a questionnaire as the main research tool. Quantitative data were analyzed using descriptive and inferential statistics. Correlation analysis was used to explain the relationship between the dependent and independent variables. Multiple linear regression was used to analyze the determinants of the uptake of green practices in lodges and tented camps. Qualitative data was analyzed using content analysis and the subsequent drawing of conclusions. The study found that environmental awareness had a significant positive relationship with green practices in lodges and tented camps within Maasai Mara Game Reserve; organizational commitment had a significant positive relationship with green practices in lodges and tented camps within Maasai Mara Game Reserve. The study concludes that an increase in environmental awareness and organizational commitment will result in increased uptake of the green practices in lodges and tented camps
Green marketing has evolved, although the market share of green products remains considerably low. Green products are part of comprehensive green marketing, and this sort of marketing has progressed to the point that practically every consumer is aware of it. The study focuses on the factors that influence the adoption and consumption patterns of green goods in the greater Durban area. The study used a quantitative, non-probability, and random sampling strategy to discover consumers' sentiments toward the purchase of green products. The data was collected through the use of questionnaires and analyzed using the SPSS. The sample size was 384 customers from retail malls in selected Durban suburbs, representing a wide demographic and cultural background. The study's findings revealed that customers in the greater Durban area are aware of green products. Green products, on the other hand, are regarded as affluent due to their high pricing. This means that companies developing green products will have to look for ways to cut their pricing. The survey also reveals that when customers must pick between green and non-green items, pricing is a crucial factor. The study's findings are limited to the confines of the wider Durban area and cannot be extrapolated.
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.
The general objective of the study was to establish the determinants of the uptake of green practices in lodges and tented camps within Maasai Mara Game Reserve in Narok County Kenya. The specific objectives were: to determine whether environmental awareness and organizational commitment influence the uptake of the green practices in lodges and tented camps. This study was anchored on the Institutional Theory of the Firm. The study adopted a descriptive design.The target population was 371 respondents whocomprised of Managers, Housekeepers, and Chefs. A stratified random sampling technique was used to draw the study sample of 196 respondents. The sample size of the study was calculated using Fishers Exact Test 1991 formula. The study used a questionnaire as the main research tool. Quantitative data were analyzed using descriptive and inferential statistics. Correlation analysis was used to explain the relationship between the dependent and independent variables. Multiple linear regression was used to analyze the determinants of the uptake of green practices in lodges and tented camps. Qualitative data was analyzed using content analysis and the subsequent drawing of conclusions. The study found that environmental awareness had a significant positive relationship with green practices in lodges and tented camps within Maasai Mara Game Reserve; organizational commitment had a significant positive relationship with green practices in lodges and tented camps within Maasai Mara Game Reserve. The study concludes that an increase in environmental awareness and organizational commitment will result in increased uptake of the green practices in lodges and tented camps
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.
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 |