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: 3 / 3 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 12:01 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 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 3 / 3 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): 2026-10-21T07:22:58.483978+00:00 — 2026-10-22T12:01:20.007680+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 2 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
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 |
|---|---|
| 2024 | 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 Research in Business and Social Science SSBFNET | 3 | 3 | 3 | 3/3 | 1.0 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The South African entrepreneurial sector is essential to the country's economic growth, job creation, and innovation. South African entrepreneurs encounter competitive business environment, limited resources, and socioeconomic gaps. Building resilience is critical for them to overcome challenges, adapt to change, and sustain their businesses in the face of adversity. This paper aims to explore the connection between resilience and emotional intelligence in the context of South African entrepreneurship. A systematic literature review and text analysis was carried out. This systematic literature analysis analysed 37 peer-reviewed sources that explored the impact of emotional intelligence on resilience in the South African entrepreneurial sector. Textual analysis was used to discover themes, patterns, and implications for increasing entrepreneurial resilience. Inclusion criteria included English-language research published during the last decade that focused on emotional intelligence and resilience in entrepreneurship. Non-peer-reviewed papers, grey literature, and those that did not directly address the South African context were excluded. Key findings show that emotionally intelligent leaders are better able to manage stress, build trusted relationships, and adjust to changing circumstances, which improves corporate results and ensures sustainability in a changing economic climate. This paper concludes that emotional intelligence is critical in determining the resilience and success of entrepreneurs in the South African entrepreneurial sector. Recommendations stemming from the results encompass integrating emotional intelligence training courses into entrepreneurial curricula, cultivating a nurturing and emotionally astute workplace, and encouraging self-awareness and emotional regulation proficiencies among prospective and established entrepreneurs in South Africa.
This study examined the direct and mediating relationships between lecturer’s emotional intelligence, work-life balance, workplace environment and job satisfaction among higher learning institutions in Ghana. The study adopted cross-sectional explanatory and correlational research approach. A total of two hundred and forty-eight (248) lecturers were sampled from twenty (20) randomly selected colleges of education in Ghana to participate in the study. Questionnaires served as the data collection instruments. Seven (7) hypotheses were tested for direct and mediating relationships among the variables using Partial Least Squares (PLS) Structural Equation Modelling. For direct effects, the following were found: Significant positive relationships existed between lecturer’s emotional intelligence and job satisfaction as well as lecturer’s emotional intelligence and workplace environment. The results also indicated that, a significant positive relationship exists between lecturer emotional intelligence and work-life balance. Moreover, significant positive relationships were found to exist between work-life balance and job satisfaction as well as workplace environment and job satisfaction among lecturers. For indirect effects, it was found that work-life balance and workplace environment mediated the relationships between lecturer’s emotional intelligence and job satisfaction. The study contributes to the existing literature by providing empirical evidence from the Ghanaian context and highlights the need for higher education institutions to prioritize emotional intelligence development among their staff. Practical implications include recommendations for training programs and supportive policies aimed at fostering emotional intelligence, promoting a positive work culture, and enhancing overall job satisfaction among lecturers. Future research directions include longitudinal studies and investigations into other cultural, institutional and contextual factors that influence job satisfaction in academic settings.
South Africa’s additive manufacturing research has mostly concentrated on engineering and technical aspects, with a lack of studies on management and organizational dynamics. To fill this gap, we conducted research on the direct and moderating links between leader emotional intelligence, organizational emotional culture, and employee job performance in South African additive manufacturing enterprises. We used a deductive research approach, a quantitative research method, and a cross-sectional explanatory correlational study design. Our study used simple random sampling to select 148 employees of additive manufacturing 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. Findings of the study demonstrate that a significant positive relationship exists between leader emotional intelligence and employee job performance. A significant positive relationship also exists between leader emotional intelligence and organizational emotional climate. A significant positive relationship was found to exist between organizational emotional culture and employee job performance. The finding also showed that organizational emotional culture moderates the relationship between leader emotional intelligence and employee job performance. The findings suggest that developing emotional intelligence among leaders in South African additive manufacturing enterprises could enhance both staff productivity and the organizational emotional environment. Our findings highlight the importance of prioritizing leader emotional intelligence training and development for additive manufacturing enterprises in creating a good emotional environment conducive to enhanced staff job performance.
This study examined the direct and mediating relationships between lecturer’s emotional intelligence, work-life balance, workplace environment and job satisfaction among higher learning institutions in Ghana. The study adopted cross-sectional explanatory and correlational research approach. A total of two hundred and forty-eight (248) lecturers were sampled from twenty (20) randomly selected colleges of education in Ghana to participate in the study. Questionnaires served as the data collection instruments. Seven (7) hypotheses were tested for direct and mediating relationships among the variables using Partial Least Squares (PLS) Structural Equation Modelling. For direct effects, the following were found: Significant positive relationships existed between lecturer’s emotional intelligence and job satisfaction as well as lecturer’s emotional intelligence and workplace environment. The results also indicated that, a significant positive relationship exists between lecturer emotional intelligence and work-life balance. Moreover, significant positive relationships were found to exist between work-life balance and job satisfaction as well as workplace environment and job satisfaction among lecturers. For indirect effects, it was found that work-life balance and workplace environment mediated the relationships between lecturer’s emotional intelligence and job satisfaction. The study contributes to the existing literature by providing empirical evidence from the Ghanaian context and highlights the need for higher education institutions to prioritize emotional intelligence development among their staff. Practical implications include recommendations for training programs and supportive policies aimed at fostering emotional intelligence, promoting a positive work culture, and enhancing overall job satisfaction among lecturers. Future research directions include longitudinal studies and investigations into other cultural, institutional and contextual factors that influence job satisfaction in academic settings.
The South African entrepreneurial sector is essential to the country's economic growth, job creation, and innovation. South African entrepreneurs encounter competitive business environment, limited resources, and socioeconomic gaps. Building resilience is critical for them to overcome challenges, adapt to change, and sustain their businesses in the face of adversity. This paper aims to explore the connection between resilience and emotional intelligence in the context of South African entrepreneurship. A systematic literature review and text analysis was carried out. This systematic literature analysis analysed 37 peer-reviewed sources that explored the impact of emotional intelligence on resilience in the South African entrepreneurial sector. Textual analysis was used to discover themes, patterns, and implications for increasing entrepreneurial resilience. Inclusion criteria included English-language research published during the last decade that focused on emotional intelligence and resilience in entrepreneurship. Non-peer-reviewed papers, grey literature, and those that did not directly address the South African context were excluded. Key findings show that emotionally intelligent leaders are better able to manage stress, build trusted relationships, and adjust to changing circumstances, which improves corporate results and ensures sustainability in a changing economic climate. This paper concludes that emotional intelligence is critical in determining the resilience and success of entrepreneurs in the South African entrepreneurial sector. Recommendations stemming from the results encompass integrating emotional intelligence training courses into entrepreneurial curricula, cultivating a nurturing and emotionally astute workplace, and encouraging self-awareness and emotional regulation proficiencies among prospective and established entrepreneurs in South Africa.
South Africa’s additive manufacturing research has mostly concentrated on engineering and technical aspects, with a lack of studies on management and organizational dynamics. To fill this gap, we conducted research on the direct and moderating links between leader emotional intelligence, organizational emotional culture, and employee job performance in South African additive manufacturing enterprises. We used a deductive research approach, a quantitative research method, and a cross-sectional explanatory correlational study design. Our study used simple random sampling to select 148 employees of additive manufacturing 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. Findings of the study demonstrate that a significant positive relationship exists between leader emotional intelligence and employee job performance. A significant positive relationship also exists between leader emotional intelligence and organizational emotional climate. A significant positive relationship was found to exist between organizational emotional culture and employee job performance. The finding also showed that organizational emotional culture moderates the relationship between leader emotional intelligence and employee job performance. The findings suggest that developing emotional intelligence among leaders in South African additive manufacturing enterprises could enhance both staff productivity and the organizational emotional environment. Our findings highlight the importance of prioritizing leader emotional intelligence training and development for additive manufacturing enterprises in creating a good emotional environment conducive to enhanced staff job 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 |