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: 2 / 2 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 00:57 UTC — 23 Oct 2026 07:33 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 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 |
|---|---|---|---|---|---|
| 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 |
|---|---|---|---|---|---|
| 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 2 / 2 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): 2026-10-22T00:57:49.159113+00:00 — 2026-10-23T07:33:40.282596+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
A subtle inherent contest exists between supervisors and subordinates during performance appraisal sessions. Examining the moderating effect of training on employees' self-appraisal to foster curiosity. This study seeks to analyse the value proposition of self-appraisal in the context of 360-degree organisational performance. A self-appraisal was conducted among a random sample of employees from five companies in South Africa. The research employs a positivist paradigm, utilising a deductive approach characterised by quantitative methods. It incorporates a longitudinal study and a pre-post quasi-experimental survey design to gather data from a randomly sampled population of 526 participants. Utilising diverse multivariate statistical methods, such as analysis of variance (ANOVA) and correlation and regression modelling, for data analysis. This study illustrates that training improves self-efficacy, learning outcomes, and performance. Additionally, it highlights the integrity of self-appraisals in the post-training context, with 66% of participants favouring self-rated performance over supervisor assessments due to perceived bias. This paper offers insights for both practitioners and scholars, highlighting how a strong culture of human capital development (T&D) enhances self-efficacy and predicts positive organisational behaviours and optimal performance.
In today’s era of disruption and rapid technological advancement, the demands for organisational competence development are on the rise (Richter et al., 2020; Schaeffer, 2017). Making investment in human capital development the single most guarantor or tonic for sustainable competitive advantage for any organisation. The primary purpose of this study is to examine the relationship between training, demographic variables and employee job satisfaction. The research employs a positivist paradigm, utilising a deductive approach characterised by quantitative methods. It incorporates a longitudinal study and a pre-post quasi-experimental survey design to gather data from a randomly sampled population of 526 participants from 5 companies in South Africa. Utilising diverse multivariate statistical methods, such as analysis of variance (ANOVA) and correlation and regression modelling, for data analysis. The study’s empirical evidence revealed that (i) those workers who received more training are more motivated than those who received less or no training at all. Further, categories of demographic variables that led to a significant increase in the dependent variable i.e. “employee motivation and job satisfaction” consisted of skilled workers, females, South Sotho language group, those who had post-Matric qualifications and those with 6 – 10 years’ experience in the same job. This paper offers insights to management, especially HR policy makers on creating a learning culture and embrace the value of continued investment in human capital. Plethora of documentary evidence proved T&D to be the predictor of organisational efficiencies, profitability and long-term survival and growth.
In today’s era of disruption and rapid technological advancement, the demands for organisational competence development are on the rise (Richter et al., 2020; Schaeffer, 2017). Making investment in human capital development the single most guarantor or tonic for sustainable competitive advantage for any organisation. The primary purpose of this study is to examine the relationship between training, demographic variables and employee job satisfaction. The research employs a positivist paradigm, utilising a deductive approach characterised by quantitative methods. It incorporates a longitudinal study and a pre-post quasi-experimental survey design to gather data from a randomly sampled population of 526 participants from 5 companies in South Africa. Utilising diverse multivariate statistical methods, such as analysis of variance (ANOVA) and correlation and regression modelling, for data analysis. The study’s empirical evidence revealed that (i) those workers who received more training are more motivated than those who received less or no training at all. Further, categories of demographic variables that led to a significant increase in the dependent variable i.e. “employee motivation and job satisfaction” consisted of skilled workers, females, South Sotho language group, those who had post-Matric qualifications and those with 6 – 10 years’ experience in the same job. This paper offers insights to management, especially HR policy makers on creating a learning culture and embrace the value of continued investment in human capital. Plethora of documentary evidence proved T&D to be the predictor of organisational efficiencies, profitability and long-term survival and growth.
A subtle inherent contest exists between supervisors and subordinates during performance appraisal sessions. Examining the moderating effect of training on employees' self-appraisal to foster curiosity. This study seeks to analyse the value proposition of self-appraisal in the context of 360-degree organisational performance. A self-appraisal was conducted among a random sample of employees from five companies in South Africa. The research employs a positivist paradigm, utilising a deductive approach characterised by quantitative methods. It incorporates a longitudinal study and a pre-post quasi-experimental survey design to gather data from a randomly sampled population of 526 participants. Utilising diverse multivariate statistical methods, such as analysis of variance (ANOVA) and correlation and regression modelling, for data analysis. This study illustrates that training improves self-efficacy, learning outcomes, and performance. Additionally, it highlights the integrity of self-appraisals in the post-training context, with 66% of participants favouring self-rated performance over supervisor assessments due to perceived bias. This paper offers insights for both practitioners and scholars, highlighting how a strong culture of human capital development (T&D) enhances self-efficacy and predicts positive organisational behaviours and optimal 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 |