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: 5 / 5 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: 29 Oct 2026 10:14 UTC — 31 Oct 2026 10:55 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 30 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 18 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 28 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 16 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 39 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 21 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 48 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 26 | 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 5 / 5 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): 2026-10-29T10:14:23.813822+00:00 — 2026-10-31T10:55:59.926231+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 1 | 5 | 5/5 |
| 2020 | All selected publications | 6 | 5 | 5/5 |
| 2021 | All selected publications | 16 | 5 | 5/5 |
| 2022 | All selected publications | 18 | 5 | 5/5 |
| 2023 | All selected publications | 36 | 5 | 5/5 |
| 2024 | All selected publications | 24 | 5 | 5/5 |
| 2025 | All selected publications | 22 | 5 | 5/5 |
| 2026 | All selected publications | 11 | 5 | 5/5 |
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 |
|---|---|
| 2019 | 1 |
| 2021 | 1 |
| 2022 | 2 |
| 2023 | 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 Business Ecosystem & Strategy Bussecon International Academy | 5 | 92 | 134 | 5/5 | 18.4 | 16 | 100.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development efforts
Fatigue as an emerging flight safety issue in the aviation industry requires an elaborate understanding and critical approach for proactive aviation management practices. The level of flight crew stress and fatigue must be critically managed to prevent flight accidents. Additionally, stress and fatigue have a negative influence on job satisfaction levels. This paper aims to examine the critical fatigue risk factors that affect the performance and safety of airline pilots and crew in the aviation industry. This paper also analyses the relationship between burnout and job satisfaction sub-dimensions. A factor analysis with a target population of 254 international flight crew has been conducted using the Minnesota Job Satisfaction Survey and Maslach Burnout questionnaire. The main findings of the study demonstrate that (i) cockpit and cabin crews’ job satisfaction and performance have been affected by stress and fatigue, (ii) psychological depression, anxiety and personal problems of the flight crew are the main causes of emotional fatigue, (iii) extensive flight hours and dealing with problematic passengers increase flight crew fatigue, (iv) personal achievements concerns and depersonalization increase flight crew fatigue.
In today’s technology and digital era, the main problem that can impact the life sector is the aspect of Human Resources with the expertise and competence of an employee. Organizational goals will be achieved, however, with advances in information technology, activities carried out by humans can be completed efficiently and effectively to obtain optimal results. This study aims to determine employees' service performance by linking several variables including digital competence, work-life balance, work stress, and emotional intelligence. This study used the PLS (Partial Least Square) analysis tool and the number of samples was 190 respondents. The study results show that digital competence has no effect on service performance but positively impacts work-life balance and stress. Moreover, emotional intelligence does not moderate the relationship between digital competence and work life balance on service performance but moderates the relationship between work stress and service performance. This research was conducted to determine the performance of employee services and the employees of PT. X were the object of analysis.
Turnover intention is an employee's desire to move to another agency or stop working on their own volition or voluntarily from the organization where they work for certain reasons. Turnover intention behavior has a negative impact on the smooth operation of the organization, so it is necessary to study the factors that influence it and efforts to prevent it. This study aims to examine the effect of workplace well-being and workplace incivility on turnover intention, as well as to examine the role of job embeddedness in moderating the relationship between the two independent variables with the above dependent on employees of the Ministry of Agriculture vertical agency in Manokwari. This study uses a quantitative approach involving 121 respondents. Data analysis using Partial Least Square (PLS) with the help of SmartPLS 3.0 software. The results showed that; (1) workplace well-being has a negative and significant effect on turnover intention, (2) workplace incivility has a positive and significant effect on turnover intention, (3) job embeddedness significantly plays a role in moderating the relationship between workplace well-being and turnover intention, and (4) Job embeddedness plays a significant role in moderating the relationship between workplace incivility and turnover intention. To prevent turnover intention behavior in employees of the Ministry of Agriculture's vertical agency in Manokwari, it is suggested that the level of job embeddedness should always be maintained and improved for all employees of the Ministry of Agriculture's vertical agency in Manokwari.
This study aims to examine and understand the influence of psychological capital on employee turnover intention through the mediating role of organizational commitment and work-life balance on Generation Z and millennial employees in Bandung, West Java. The data used in this study are primary and secondary data obtained from the employees of the companies and the company data. This study uses the census method as a sampling technique, with a number of samples of 100 respondents. The data is collected by distributing questionnaires and carrying out observations in the company. The data is further processed using Structural Equation Modeling with the Partial Least Square method. The results of this study indicate that psychological capital has a significant influence on employee turnover intention, organizational commitment, and work-life balance. Furthermore, organizational commitment and work-life balance are found to have a direct negative influence on turnover intention. Both of these variables also act as mediators in the relationship between psychological capital and turnover intention.
In today’s technology and digital era, the main problem that can impact the life sector is the aspect of Human Resources with the expertise and competence of an employee. Organizational goals will be achieved, however, with advances in information technology, activities carried out by humans can be completed efficiently and effectively to obtain optimal results. This study aims to determine employees' service performance by linking several variables including digital competence, work-life balance, work stress, and emotional intelligence. This study used the PLS (Partial Least Square) analysis tool and the number of samples was 190 respondents. The study results show that digital competence has no effect on service performance but positively impacts work-life balance and stress. Moreover, emotional intelligence does not moderate the relationship between digital competence and work life balance on service performance but moderates the relationship between work stress and service performance. This research was conducted to determine the performance of employee services and the employees of PT. X were the object of analysis.
This study aims to examine and understand the influence of psychological capital on employee turnover intention through the mediating role of organizational commitment and work-life balance on Generation Z and millennial employees in Bandung, West Java. The data used in this study are primary and secondary data obtained from the employees of the companies and the company data. This study uses the census method as a sampling technique, with a number of samples of 100 respondents. The data is collected by distributing questionnaires and carrying out observations in the company. The data is further processed using Structural Equation Modeling with the Partial Least Square method. The results of this study indicate that psychological capital has a significant influence on employee turnover intention, organizational commitment, and work-life balance. Furthermore, organizational commitment and work-life balance are found to have a direct negative influence on turnover intention. Both of these variables also act as mediators in the relationship between psychological capital and turnover intention.
Turnover intention is an employee's desire to move to another agency or stop working on their own volition or voluntarily from the organization where they work for certain reasons. Turnover intention behavior has a negative impact on the smooth operation of the organization, so it is necessary to study the factors that influence it and efforts to prevent it. This study aims to examine the effect of workplace well-being and workplace incivility on turnover intention, as well as to examine the role of job embeddedness in moderating the relationship between the two independent variables with the above dependent on employees of the Ministry of Agriculture vertical agency in Manokwari. This study uses a quantitative approach involving 121 respondents. Data analysis using Partial Least Square (PLS) with the help of SmartPLS 3.0 software. The results showed that; (1) workplace well-being has a negative and significant effect on turnover intention, (2) workplace incivility has a positive and significant effect on turnover intention, (3) job embeddedness significantly plays a role in moderating the relationship between workplace well-being and turnover intention, and (4) Job embeddedness plays a significant role in moderating the relationship between workplace incivility and turnover intention. To prevent turnover intention behavior in employees of the Ministry of Agriculture's vertical agency in Manokwari, it is suggested that the level of job embeddedness should always be maintained and improved for all employees of the Ministry of Agriculture's vertical agency in Manokwari.
Fatigue as an emerging flight safety issue in the aviation industry requires an elaborate understanding and critical approach for proactive aviation management practices. The level of flight crew stress and fatigue must be critically managed to prevent flight accidents. Additionally, stress and fatigue have a negative influence on job satisfaction levels. This paper aims to examine the critical fatigue risk factors that affect the performance and safety of airline pilots and crew in the aviation industry. This paper also analyses the relationship between burnout and job satisfaction sub-dimensions. A factor analysis with a target population of 254 international flight crew has been conducted using the Minnesota Job Satisfaction Survey and Maslach Burnout questionnaire. The main findings of the study demonstrate that (i) cockpit and cabin crews’ job satisfaction and performance have been affected by stress and fatigue, (ii) psychological depression, anxiety and personal problems of the flight crew are the main causes of emotional fatigue, (iii) extensive flight hours and dealing with problematic passengers increase flight crew fatigue, (iv) personal achievements concerns and depersonalization increase flight crew fatigue.
Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development efforts
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 |