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 — 21 Oct 2026 07:22 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 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): 2026-10-21T07:22:48.922569+00:00 — 2026-10-21T07:22:48.982330+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 | 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 |
|---|---|
| 2023 | 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 | 2 | 2 | 3/3 | 0.67 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The majority of state-owned power companies (SoEs) have experienced organizational cancer for nearly three decades without showing any signs of ceasing operations. Academicians generally agree that organizational politics are to blame for the ongoing energy-generating dilemma that has plagued rising nations. Worldwide, economies rely heavily on electricity as an energy source, to the point where they would not function or even survive without it. In order to reduce unfavorable political behavior, this study examines organizational politics at the Zimbabwe Supply Authority, a SoE in charge of energy production. A sample of 1400 individuals who were chosen at random from a population of 2210 staff members participated in the study using a quantitative research approach to collect data. By the deadline, 358 completed questionnaires had been returned; however, 11 of them were rejected because they had been wrongly filled out, with a response rate of 24.78%. The data were analyzed using the statistical tool SPSS 21.0 for Windows. To ensure that the samples were adequate for factor analysis, the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's Test of sphericity were applied to the data before exploratory factor analysis could be conducted on them (Field, 2007:619). The results of the study showed that bad political behavior and ineffective managerial leadership techniques had a detrimental impact on the power generation crisis. According to the report, managers should receive training on modern managerial leadership behavior, managerial methods for behavior modification, and improved communication.
The paper reports empirical findings drawn from a study undertaken to understand the dimensions of strategic leadership deployed among flower farms and the benefits that the flower farms have derived from deployment of strategic leadership. The context was selected due to its significance in contributing to the national economy and the level of turbulence experienced by the farms that requires a leadership style entrenching strategic thinking. 43 flower farms were sampled and primary data obtained using a structured questionnaire from CEOs, Deputy CEOs and heads of functional areas. Two dimensions of strategic leadership have been deployed to a low extent while two have been implemented to a moderate extent. The deployed dimensions of strategic leadership have significantly contributed to the flower farms performance by enhancing their capacity to attain growth at the rate of 15-20%. The study concluded that strategic leadership is relevant for deployment by the flower farms and raised implications for its deployment among organizations facing complex and turbulent environments. The paper called on future research to consider expanding the scope of the context of the investigation and conceptualization of the dimensions of strategic leadership based on other relevant theoretical frameworks anchoring strategic leadership.
Leaders are vital for organizations and have a significant impact on the success or failure of a business. Although there have been studies investigating the question “what makes a good leader”, few studies have explicitly focused on the retail sector. The study's primary objective is to identify the qualities and characteristics a good leader should possess, in the context of the retail industry in RSA. A total of 107 respondents were interviewed and the results showed that “charisma” and “inspiration” are the most important characteristics, while “a character for integrity and honesty” and “knowledgeable and experienced” are the most important qualities of a good leader.
The majority of state-owned power companies (SoEs) have experienced organizational cancer for nearly three decades without showing any signs of ceasing operations. Academicians generally agree that organizational politics are to blame for the ongoing energy-generating dilemma that has plagued rising nations. Worldwide, economies rely heavily on electricity as an energy source, to the point where they would not function or even survive without it. In order to reduce unfavorable political behavior, this study examines organizational politics at the Zimbabwe Supply Authority, a SoE in charge of energy production. A sample of 1400 individuals who were chosen at random from a population of 2210 staff members participated in the study using a quantitative research approach to collect data. By the deadline, 358 completed questionnaires had been returned; however, 11 of them were rejected because they had been wrongly filled out, with a response rate of 24.78%. The data were analyzed using the statistical tool SPSS 21.0 for Windows. To ensure that the samples were adequate for factor analysis, the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's Test of sphericity were applied to the data before exploratory factor analysis could be conducted on them (Field, 2007:619). The results of the study showed that bad political behavior and ineffective managerial leadership techniques had a detrimental impact on the power generation crisis. According to the report, managers should receive training on modern managerial leadership behavior, managerial methods for behavior modification, and improved communication.
Leaders are vital for organizations and have a significant impact on the success or failure of a business. Although there have been studies investigating the question “what makes a good leader”, few studies have explicitly focused on the retail sector. The study's primary objective is to identify the qualities and characteristics a good leader should possess, in the context of the retail industry in RSA. A total of 107 respondents were interviewed and the results showed that “charisma” and “inspiration” are the most important characteristics, while “a character for integrity and honesty” and “knowledgeable and experienced” are the most important qualities of a good leader.
The paper reports empirical findings drawn from a study undertaken to understand the dimensions of strategic leadership deployed among flower farms and the benefits that the flower farms have derived from deployment of strategic leadership. The context was selected due to its significance in contributing to the national economy and the level of turbulence experienced by the farms that requires a leadership style entrenching strategic thinking. 43 flower farms were sampled and primary data obtained using a structured questionnaire from CEOs, Deputy CEOs and heads of functional areas. Two dimensions of strategic leadership have been deployed to a low extent while two have been implemented to a moderate extent. The deployed dimensions of strategic leadership have significantly contributed to the flower farms performance by enhancing their capacity to attain growth at the rate of 15-20%. The study concluded that strategic leadership is relevant for deployment by the flower farms and raised implications for its deployment among organizations facing complex and turbulent environments. The paper called on future research to consider expanding the scope of the context of the investigation and conceptualization of the dimensions of strategic leadership based on other relevant theoretical frameworks anchoring strategic leadership.
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 |