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: 4 / 4 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 02:44 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 15 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 17 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-21T07:22:54.166502+00:00 — 2026-10-22T02:44:26.491559+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 4 | 4 | 4/4 |
| 2025 | All selected publications | 8 | 4 | 4/4 |
| 2026 | All selected publications | 5 | 4 | 4/4 |
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 | 4 |
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 | 2 | 7 | 10 | 2/2 | 3.5 | 3.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 8 | 7 | 2/2 | 4.0 | 4.0 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Whenever the issue of poor employee performance arises, the question of the provision of staff training takes center stage. Staff training is seen as the principal driving force and central to effective and efficient job performance. The quest to achieve high performance at the workplace has always been derailed by an acute lack of skills. Despite the plethora of studies of staff training and employee performance in different sectors, the literature has not yet explored the relationship between the two variables in the transport sector, particularly in the South African context. However, the relationship between staff training and employee performance has been engulfed in and apprehended by complexities, mistrust, and misunderstandings. It is through this premise that this paper seeks to evaluate the influence of staff training on employee performance in the transport sector. The study adopted an exploratory research design and tapped into a qualitative research approach. Using the purposive sampling technique, a sample of 15 respondents, comprised of skill development representatives of organizations operating in the transport sector in Durban, were interviewed. Unstructured interviews were used to collect data from the respondents. The key findings revealed that staff training has a positive influence on employee performance in the transport sector. The study plays a pivotal role in extending knowledge in the fields of staff training and employee performance.
The integration of artificial intelligence produces a significant transformation in the workplace, which presents obstacles to the performance of intrapreneurs and the productivity of the organisation, in response to disruptive technological developments. The objective of this paper is to examine the correlation between intrapreneurship development and training initiatives and the end result for organisational performance and productivity. By employing a simplified random sampling method and a quantitative research design, this study examines the intricacies of interdepartmental relationships and emphasises the importance of development and training programmes in equipping intrapreneurs to meet the challenges of the fourth industrial revolution. The collected primary data, which was structured using a 5-point Likert scale, were analysed using Statistical Package for the Social Sciences version 26. An intelligent strategy for increasing performance and productivity in order to gain a competitive edge, the study demonstrates that fostering and improving intradepartmental relationships is effective. This finding also indicates that training and development programmes focused on the implementation of advanced technologies significantly enhance the performance of intrapreneurs and the productivity of organisations. In order to adapt to the changing employment environment of the twenty-first century, the results underscore the necessity for organisations to give precedence to technical proficiency while cultivating an environment that promotes inventive thinking, action learning, and progress.
The objective of this article is to investigate obstacles that hinder the assessment of return on investment (ROI) for academic staff development initiatives in public universities in South Africa. The primary objective of this study is to address the following research inquiry: What are the obstacles hindering the assessment of return on investment (ROI) for training and development interventions offered to academics within the higher education landscape of South Africa? The study employed a qualitative research methodology, which was based on an interpretive philosophical standpoint. The researchers employed purposive sampling to carefully select a total of fourteen participants who were selected to represent a range of cases or institutions. These included six universities and government institutions, namely the Department of Higher Education and Training (DHET), the Department of Science and Innovation (DSI), and the Education, Training, and Development Practices Sector Education and Training Authority (ETDPSETA). The interview data was subjected to thematic analysis using ATLAS.ti. The factors that hinder the measurement of ROI include the intricacy of the process, insufficient capacity, time lag between training and improved performance, lack of motivation, financial limitations, absence of processes, fragmentation of training and development interventions, interventions producing non-financial advantages, and insufficient data. The study enhanced the existing information on human resource development and practice by identifying the obstacles to measuring return on investment (ROI). Additionally, it offered practical advice and suggestions for future research.
Globally, staff development is essential for enhancing employee performance and promoting organizational success (Akdere & Egan, 2020). In the context of local municipalities in KwaZulu-Natal (KZN), the absence of effective staff development has been recognized as a significant factor contributing to inadequate service delivery (Thusi & Selepe, 2023). Although the importance of staff development is acknowledged, municipalities face challenges in determining the effectiveness of these initiatives (Zulu, Yalezo & Mutambara, 2022). The COVID-19 pandemic has further intensified these issues, resulting in organizational changes, such as the shift to remote work, which have affected employee performance (Rogerson & Rogerson, 2020). This study investigates the influence of staff development programs on employee performance, with a focus on the Msunduzi Municipality. A literature review identified notable challenges, including insufficient engagement, inadequate compensation, and a lack of consultation during the development of performance management systems (Khunoethe, 2021; Govender & Bussin, 2020). The study is grounded in Human Capital Theory, which suggests that investing in employee skills leads to enhanced performance and improved service delivery (Mphahlele & Zandamela, 2021). The methodology involved purposive sampling and in-depth interviews with staff at the Msunduzi Municipality to gain insights into their perceptions of staff development programs. The findings indicated that while training programs were appreciated, they often lacked alignment with broader organizational goals. Personal Development Plans (PDPs) were identified as vital for synchronizing individual growth with municipal objectives; however, challenges related to performance management persisted, reflecting a compliance-driven culture. The study advocates for the implementation of a more integrated staff development framework that focuses on goal-oriented, needs-based training aligned with organizational objectives. Additionally, continuous monitoring and mentorship programs are recommended to ensure ongoing improvements in service delivery and employee performance. Addressing economic constraints through strategic resource allocation will be crucial in overcoming these challenges.
Globally, staff development is essential for enhancing employee performance and promoting organizational success (Akdere & Egan, 2020). In the context of local municipalities in KwaZulu-Natal (KZN), the absence of effective staff development has been recognized as a significant factor contributing to inadequate service delivery (Thusi & Selepe, 2023). Although the importance of staff development is acknowledged, municipalities face challenges in determining the effectiveness of these initiatives (Zulu, Yalezo & Mutambara, 2022). The COVID-19 pandemic has further intensified these issues, resulting in organizational changes, such as the shift to remote work, which have affected employee performance (Rogerson & Rogerson, 2020). This study investigates the influence of staff development programs on employee performance, with a focus on the Msunduzi Municipality. A literature review identified notable challenges, including insufficient engagement, inadequate compensation, and a lack of consultation during the development of performance management systems (Khunoethe, 2021; Govender & Bussin, 2020). The study is grounded in Human Capital Theory, which suggests that investing in employee skills leads to enhanced performance and improved service delivery (Mphahlele & Zandamela, 2021). The methodology involved purposive sampling and in-depth interviews with staff at the Msunduzi Municipality to gain insights into their perceptions of staff development programs. The findings indicated that while training programs were appreciated, they often lacked alignment with broader organizational goals. Personal Development Plans (PDPs) were identified as vital for synchronizing individual growth with municipal objectives; however, challenges related to performance management persisted, reflecting a compliance-driven culture. The study advocates for the implementation of a more integrated staff development framework that focuses on goal-oriented, needs-based training aligned with organizational objectives. Additionally, continuous monitoring and mentorship programs are recommended to ensure ongoing improvements in service delivery and employee performance. Addressing economic constraints through strategic resource allocation will be crucial in overcoming these challenges.
The integration of artificial intelligence produces a significant transformation in the workplace, which presents obstacles to the performance of intrapreneurs and the productivity of the organisation, in response to disruptive technological developments. The objective of this paper is to examine the correlation between intrapreneurship development and training initiatives and the end result for organisational performance and productivity. By employing a simplified random sampling method and a quantitative research design, this study examines the intricacies of interdepartmental relationships and emphasises the importance of development and training programmes in equipping intrapreneurs to meet the challenges of the fourth industrial revolution. The collected primary data, which was structured using a 5-point Likert scale, were analysed using Statistical Package for the Social Sciences version 26. An intelligent strategy for increasing performance and productivity in order to gain a competitive edge, the study demonstrates that fostering and improving intradepartmental relationships is effective. This finding also indicates that training and development programmes focused on the implementation of advanced technologies significantly enhance the performance of intrapreneurs and the productivity of organisations. In order to adapt to the changing employment environment of the twenty-first century, the results underscore the necessity for organisations to give precedence to technical proficiency while cultivating an environment that promotes inventive thinking, action learning, and progress.
The objective of this article is to investigate obstacles that hinder the assessment of return on investment (ROI) for academic staff development initiatives in public universities in South Africa. The primary objective of this study is to address the following research inquiry: What are the obstacles hindering the assessment of return on investment (ROI) for training and development interventions offered to academics within the higher education landscape of South Africa? The study employed a qualitative research methodology, which was based on an interpretive philosophical standpoint. The researchers employed purposive sampling to carefully select a total of fourteen participants who were selected to represent a range of cases or institutions. These included six universities and government institutions, namely the Department of Higher Education and Training (DHET), the Department of Science and Innovation (DSI), and the Education, Training, and Development Practices Sector Education and Training Authority (ETDPSETA). The interview data was subjected to thematic analysis using ATLAS.ti. The factors that hinder the measurement of ROI include the intricacy of the process, insufficient capacity, time lag between training and improved performance, lack of motivation, financial limitations, absence of processes, fragmentation of training and development interventions, interventions producing non-financial advantages, and insufficient data. The study enhanced the existing information on human resource development and practice by identifying the obstacles to measuring return on investment (ROI). Additionally, it offered practical advice and suggestions for future research.
Whenever the issue of poor employee performance arises, the question of the provision of staff training takes center stage. Staff training is seen as the principal driving force and central to effective and efficient job performance. The quest to achieve high performance at the workplace has always been derailed by an acute lack of skills. Despite the plethora of studies of staff training and employee performance in different sectors, the literature has not yet explored the relationship between the two variables in the transport sector, particularly in the South African context. However, the relationship between staff training and employee performance has been engulfed in and apprehended by complexities, mistrust, and misunderstandings. It is through this premise that this paper seeks to evaluate the influence of staff training on employee performance in the transport sector. The study adopted an exploratory research design and tapped into a qualitative research approach. Using the purposive sampling technique, a sample of 15 respondents, comprised of skill development representatives of organizations operating in the transport sector in Durban, were interviewed. Unstructured interviews were used to collect data from the respondents. The key findings revealed that staff training has a positive influence on employee performance in the transport sector. The study plays a pivotal role in extending knowledge in the fields of staff training and employee 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 |