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 01:48 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.
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 |
|---|---|---|---|---|---|
| 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 3 | 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 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): 2026-10-21T07:22:45.995655+00:00 — 2026-10-22T01:48:59.377285+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 | 1 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 4 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 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 Research in Business and Social Science SSBFNET | 3 | 3 | 5 | 3/3 | 1.0 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The correlational impact of intra-organizational social capital, job burnout, and organizational reward in sustaining employee performance in the 4IR was evaluated in this paper. Four Hundred (400) employees of the following four businesses in the Nigerian states of Oyo and Lagos were given questionnaires on purpose: First City Monument Bank Plc, British American Tobacco Nigeria, Health Emergency Initiative, and Eko Pearl Towers. The current researcher encouraged voluntary participation and ensured that moral standards were upheld. There were found and appropriately concluded 377 surveys in total. The data was cleaned up and analyzed using SPSS version 29 of the statistical package for social sciences. This study demonstrates how organizational rewards and intra-organization social capital significantly impact employee performance. Job burnout negatively impacts it. Additionally, the study discovered that job burnout, organizational reward, and intra-organizational social capital had a significant and combined impact on employee performance.
The study determines the relationship between i-deals and work role performance amongst employees across industries in the South African context. The study follows a quantitative approach, and a cross-sectional design was adopted. A non-probability convenience sampling technique was chosen. An online questionnaire was used. A total of 231 employees from various industries in Johannesburg, South Africa, were included in the sample. Data were collected using pre-established instruments, and SPSS was used to analyse data. Reliability analysis was used to determine the psychometric qualities of the instruments. Pearson correlation and multiple regression analysis were chosen to examine the data against the research objectives. The study’s findings confirmed a relationship between i-deals and work role performance. Task and work responsibility, schedule flexibility and career development predicted work role performance. The findings assist researchers and practitioners in dealing with and understanding how these customised work arrangements affect individual work role performance. Expanding knowledge of i?deals will help employees and employers improve their dynamic and organisational needs more effectively. HR practitioners will also use the concept of i-deals as a strategic tool to retain talented employees. The study adds to the literature on i-deals and their relationship to work role performance in a South African context. There are limited studies in South Africa regarding our knowledge of i-deals. The present study’s results contribute to the literature on i-deals and their relationship with work role performance within a South African context.
The study presents a burden on theory and practice for discovering a reward criterion that achieves workspace morale in a hyperinflationary context. It aimed to determine the relationship between the individual components of rewards (extrinsic, intrinsic, and social) and workspace morale and the mediating role of employee engagement in a hyperinflationary context. The study applied a cross-sectional study. It employed a structured questionnaire as a study instrument. The target population for the study comprised 900 employees and managers of Bindura municipality in Zimbabwe. The study employed a sample of 269 employees and managers, and the methodology used was a case study. A total of 269 questionnaires were hand delivered after administering the ethical consent form. A total of 214 questionnaires were returned, and after preliminary review and cleaning, 17 questionnaires were found with missing values leaving 197 analyzable questionnaires thus, achieving a 73.2% response rate. The study used multiple regression analysis. The results reveal a significant direct effect of total reward, intrinsic reward, and social reward on workspace morale. The direct effect of extrinsic reward on workspace morale was statistically insignificant. It also reveals that the effects of total reward on workspace morale are mediated only partially by employee engagement. The study viewed employee engagement as a mediating force between rewards and workspace morale but did not examine the bond longitudinally. The study recommends exploring reward options, specifically supportive supervisory relations, work autonomy, role clarity, skill variety and regular feedback to improve workspace morale in hyperinflation. The results demonstrate the importance of practices that win employee hearts to enhance commitment instead of external motivation in an inflationary environment.
The correlational impact of intra-organizational social capital, job burnout, and organizational reward in sustaining employee performance in the 4IR was evaluated in this paper. Four Hundred (400) employees of the following four businesses in the Nigerian states of Oyo and Lagos were given questionnaires on purpose: First City Monument Bank Plc, British American Tobacco Nigeria, Health Emergency Initiative, and Eko Pearl Towers. The current researcher encouraged voluntary participation and ensured that moral standards were upheld. There were found and appropriately concluded 377 surveys in total. The data was cleaned up and analyzed using SPSS version 29 of the statistical package for social sciences. This study demonstrates how organizational rewards and intra-organization social capital significantly impact employee performance. Job burnout negatively impacts it. Additionally, the study discovered that job burnout, organizational reward, and intra-organizational social capital had a significant and combined impact on employee performance.
The study presents a burden on theory and practice for discovering a reward criterion that achieves workspace morale in a hyperinflationary context. It aimed to determine the relationship between the individual components of rewards (extrinsic, intrinsic, and social) and workspace morale and the mediating role of employee engagement in a hyperinflationary context. The study applied a cross-sectional study. It employed a structured questionnaire as a study instrument. The target population for the study comprised 900 employees and managers of Bindura municipality in Zimbabwe. The study employed a sample of 269 employees and managers, and the methodology used was a case study. A total of 269 questionnaires were hand delivered after administering the ethical consent form. A total of 214 questionnaires were returned, and after preliminary review and cleaning, 17 questionnaires were found with missing values leaving 197 analyzable questionnaires thus, achieving a 73.2% response rate. The study used multiple regression analysis. The results reveal a significant direct effect of total reward, intrinsic reward, and social reward on workspace morale. The direct effect of extrinsic reward on workspace morale was statistically insignificant. It also reveals that the effects of total reward on workspace morale are mediated only partially by employee engagement. The study viewed employee engagement as a mediating force between rewards and workspace morale but did not examine the bond longitudinally. The study recommends exploring reward options, specifically supportive supervisory relations, work autonomy, role clarity, skill variety and regular feedback to improve workspace morale in hyperinflation. The results demonstrate the importance of practices that win employee hearts to enhance commitment instead of external motivation in an inflationary environment.
The study determines the relationship between i-deals and work role performance amongst employees across industries in the South African context. The study follows a quantitative approach, and a cross-sectional design was adopted. A non-probability convenience sampling technique was chosen. An online questionnaire was used. A total of 231 employees from various industries in Johannesburg, South Africa, were included in the sample. Data were collected using pre-established instruments, and SPSS was used to analyse data. Reliability analysis was used to determine the psychometric qualities of the instruments. Pearson correlation and multiple regression analysis were chosen to examine the data against the research objectives. The study’s findings confirmed a relationship between i-deals and work role performance. Task and work responsibility, schedule flexibility and career development predicted work role performance. The findings assist researchers and practitioners in dealing with and understanding how these customised work arrangements affect individual work role performance. Expanding knowledge of i?deals will help employees and employers improve their dynamic and organisational needs more effectively. HR practitioners will also use the concept of i-deals as a strategic tool to retain talented employees. The study adds to the literature on i-deals and their relationship to work role performance in a South African context. There are limited studies in South Africa regarding our knowledge of i-deals. The present study’s results contribute to the literature on i-deals and their relationship with work role performance within a South African context.
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 |