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: 11 / 11 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 07:23 UTC — 30 Oct 2026 12:02 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 | 11 | 11 | 11/11 | 11/11 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 6 | 11 | 11/11 | 11/11 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 6 | 11 | 11/11 | 11/11 |
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 11 / 11 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): 2026-10-21T07:23:00.746071+00:00 — 2026-10-30T12:02:24.678430+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 | 11 | 11/11 |
| 2018 | All selected publications | 0 | 11 | 11/11 |
| 2019 | All selected publications | 0 | 11 | 11/11 |
| 2020 | All selected publications | 0 | 11 | 11/11 |
| 2021 | All selected publications | 0 | 11 | 11/11 |
| 2022 | All selected publications | 0 | 11 | 11/11 |
| 2023 | All selected publications | 0 | 11 | 11/11 |
| 2024 | All selected publications | 0 | 11 | 11/11 |
| 2025 | All selected publications | 0 | 11 | 11/11 |
| 2026 | All selected publications | 6 | 11 | 11/11 |
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 | 11 |
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 | 2 | 1 | 2/2 | 1.0 | 1.0 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 9 | 4 | 5 | 9/9 | 0.44 | 0 | 33.3 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
Perceived organizational support is a crucial factor in encouraging employees to stay in their organizations for a longer time. Public hospitals in South Africa face major challenges in attracting and retaining nurses, leading to high nurse turnover rates in the public health sector. This study investigates the effects of perceived organizational support on nurse retention in the South African Public Health Sector. While the relationship between perceived organizational support and employee retention has been extensively studied in various sectors, limited research exists within the South African’s public health sector context. This research paper addresses that gap by examining how perceived organizational support influences the retention of nurses in public hospitals. A quantitative, cross-sectional research design was employed. Data were collected from 230 nurses and analyzed using item analysis, factor analysis, and Pearson correlations. The findings revealed a moderate positive correlation between POS and nurse retention (r = 0.389, p < 0.01), indicating that higher levels of organizational support are associated with increased nurse retention. Public health administrators should therefore prioritize supportive organizational practices to attract and retain skilled nurses. Implementing supportive measures can mitigate high turnover and promote workforce stability in public hospitals. This study contributes to existing literature by providing sector-specific insights and highlights the value of organizational support in retaining nurses. This provides practical evidence to guide policies and management practices aimed at improving the nursing workforce in South African’s public health sector.
The study assesses the benefits and challenges of inventory management practices and systems in the South African automotive industry. The study used a qualitative approach in which focus groups and semi-structured interviews were conducted on 18 supply chain professionals drawn from the automotive sector in four provinces in South Africa. ATLAS.ti software was used to analyse data. The study generated two themes: the benefits and challenges of inventory management practices and systems. This study concludes that inventory management practices play a critical role within companies in the South African automotive sector since managing inventory is an indispensable part of the more extensive supply chain management (SCM) practice. Regarding inventory management challenges, SCM professionals find it difficult to retain the resilience required to adapt and react to any disruptive circumstances due to inadequate support from the South African government. Also, it appeared difficult to deal with this challenge as some companies within the South African automotive sector have limited resources, making it extremely difficult to deal with uncertainties when they arise.
The rapid shift to Emergency Remote Teaching (ERT) during the COVID-19 pandemic exposed significant challenges within higher education (HE), particularly in rural and under-resourced institutions. While ERT enabled academic continuity, it highlighted critical gaps in digital infrastructure, staff preparedness, and institutional support. This study explores senior academics' strategies to enhance ERT at a rural University of Technology (UoT) in South Africa, emphasising the need for sustainable solutions beyond temporary crisis responses. Employing a qualitative, phenomenological research design, the study collected data through individual semi-structured interviews with twelve senior academic personnel who experienced the transition to ERT first-hand. Thematic analysis using NVivo software identified key strategic themes, including addressing issues of technological capacity, inadequate professional development, and compromised academic integrity during remote assessments. Findings revealed the need for continuous staff training, improved online learning platforms with enhanced security features, and collaborative partnerships to support resource-constrained institutions. The study’s significance lies in addressing the overlooked experiences of rural senior academic personnel, often neglected in ERT literature focused on well-resourced institutions and a diverse population that lacks seniority. The research recommends implementing structured, ongoing professional development, investment in digital infrastructure, and establishing national policies ensuring equitable access to online learning resources. This study provides critical insights for policymakers, educators, and institutional leaders seeking to bridge the digital divide and ensure equitable access to quality education during future disruptions.
Companies in the South African apparel industry are being driven to improve their operational efficiency by implementing Lean Manufacturing Principles (LMPs) as a result of the severe competition that they face both locally and internationally. To evaluate the effectiveness of LMP implementation in small and medium-sized enterprises (SMEs) operating within the apparel sector in KwaZulu-Natal (KZN), this research employed a quantitative methodology. The degree of LMP adoption and its influence on operational performance, quality management, and competitiveness are brought to light through a comparison analysis between a small-sized company (Company A) and a medium-sized company (Company B). The was gathered using a structured survey distributed to employees across different functional levels in both companies. The findings suggest that there are significant differences in the implementation of LMP between the two companies, with Company B reaching a higher degree of adoption and generating more substantial benefits in both efficiency and quality. When it came to smaller businesses, difficulties such as insufficient managerial assistance, limited resources, and knowledge gaps were more noticeable. This study enhances the understanding of LMP application in SMEs and offers recommendations for fostering lean adoption, minimizing waste, and encouraging sustainable practices and continuous improvement within South Africa's apparel industry.
Organisational leaders are the most vital and effective machinery that organisations possess to enhance and sustain employee engagement. As such, it is important that they fully understand the significance of the effect of leadership style on employee engagement. Against this background, this paper aims to examine the effect of transformational leadership on employee engagement. A quantitative research methodology was utilised for the data collection and analysis. The target population for this study comprised the labour force at a specific company in South Africa. The unit of analysis was all individuals employed at the company and could be seen as individuals with an influence on the performance of the company through their level of engagement. A questionnaire with closed-ended questions was utilised to collect data after having obtained an ethical clearance certificate from an institution of higher learning in South Africa. Descriptive statistics and correlational analysis were used to analyse the data. The main finding demonstrates that transformational leadership style has a positive effect on employee engagement. The study underscores the importance of transformational leadership style in fostering employee engagement. The study contributes to the theoretical discourse on leadership by emphasising the need, in an ever-changing competitive business environment, where businesses are constantly striving to achieve a competitive edge over their competitors, for a leadership style that has a positive effect on employee engagement.
Organisational leaders are the most vital and effective machinery that organisations possess to enhance and sustain employee engagement. As such, it is important that they fully understand the significance of the effect of leadership style on employee engagement. Against this background, this paper aims to examine the effect of transformational leadership on employee engagement. A quantitative research methodology was utilised for the data collection and analysis. The target population for this study comprised the labour force at a specific company in South Africa. The unit of analysis was all individuals employed at the company and could be seen as individuals with an influence on the performance of the company through their level of engagement. A questionnaire with closed-ended questions was utilised to collect data after having obtained an ethical clearance certificate from an institution of higher learning in South Africa. Descriptive statistics and correlational analysis were used to analyse the data. The main finding demonstrates that transformational leadership style has a positive effect on employee engagement. The study underscores the importance of transformational leadership style in fostering employee engagement. The study contributes to the theoretical discourse on leadership by emphasising the need, in an ever-changing competitive business environment, where businesses are constantly striving to achieve a competitive edge over their competitors, for a leadership style that has a positive effect on employee engagement.
This study aims to assess the e-learning difficulties faced by students at South African public higher education institutions, given the increasing reliance on online learning as a core mode of teaching and learning. The researchers critically analyzed previous research on technology in higher education to identify gaps in existing knowledge. The study adopted the Technology Acceptance Model (TAM) as the theoretical framework to guide the investigation. A quantitative research method was employed, using surveys distributed to experts from various faculties, departments, and students. This approach enabled the collection of data regarding the perceived challenges and barriers to e-learning. The findings revealed that students encountered significant challenges in e-learning, including issues related to digital literacy, limited access to resources, unreliable internet connectivity, and high data costs. These barriers are exacerbated by the disadvantaged and poverty-stricken backgrounds of many students in South African public institutions. Additionally, educators and course designers also face challenges in effectively implementing e-learning solutions. Addressing these challenges is essential for the successful adoption and integration of e-learning in South African higher education institutions. The study suggests that overcoming systemic issues—such as improving digital literacy, enhancing infrastructure, and reducing data costs—could unlock the full potential of e-learning. This could lead to more inclusive, accessible, and effective higher education. This study contributes to the existing body of knowledge by identifying specific barriers to e-learning adoption in South African public higher education institutions. It emphasizes the importance of addressing these challenges to harness the potential of technology-enhanced learning and promote inclusivity in higher education. The findings provide insights into how policy makers, educators, and institutions can better support students and course designers in the transition to e-learning environments.
The fast-changing technological environment compels organisations to make swift and adaptive strategic choices, necessitating the use of tools and systems that can effectively manage complexities, foresee challenges, and capitalise on opportunities; as a result, there is a growing trend towards the adoption of human resource analytics to improve decision-making processes in the ever-evolving field of human resources. Despite the increasing use of HR metrics and analytics in human resource management, HR professionals have been relatively slow to embrace a data-driven approach, and existing research on data-driven decision-making in HRM often lacks the comprehensive frameworks necessary to provide practical guidance for the effective integration of human resource analytics. Hence, this study aims to explore the utilisation of human resource analytics to improve decision-making processes within organisations, highlighting both the potential benefits and the challenges that may arise. A systematic literature review revealed that the adoption of Human Resource Analytics offers organisations significant benefits, such as enhanced decision-making, better alignment with strategic objectives, improved employee experiences, a stronger competitive advantage, and reduced time expenditures. However, challenges persist, including concerns related to data privacy and security, the quality, integrity, and accuracy of data, a lack of data literacy and skills among employees, and inadequate technological infrastructure. To address data security concerns, HR technology providers must adopt robust security measures, including encryption, firewalls, and intrusion detection systems. Additionally, they should develop user-friendly data management systems and analytical tools that enable HR professionals to derive valuable insights from the data effectively.
Corruption within law enforcement is not just an institutional failure, it is a betrayal of public trust that erodes the very foundation of justice. This study explores the systemic factors contributing to unethical practices among South African law enforcement officers, focusing on weak accountability, socio-economic pressures, and political interference. Grounded in Institutional Anomie Theory, the research employs a qualitative analysis of secondary data, including government reports, academic literature, and case studies, to uncover the root causes of police misconduct. The findings reveal that inadequate oversight mechanisms, financial strain on officers, and political influence create an environment where unethical behaviour thrives. To address these issues, the study recommends strengthening accountability frameworks, improving officer remuneration, and minimizing political interference in law enforcement operations. Additionally, comprehensive ethics training and leadership reforms are essential for fostering a culture of integrity. Beyond its practical implications, this research contributes to the theoretical discourse on ethical policing by emphasising the need for systemic change. Future studies should explore the effectiveness of policy interventions and ethical training programs to ensure long-term solutions. Restoring ethical policing is not merely an institutional challenge, it is a moral imperative.
The study investigated the impact of supply chain management (SCM) practices on supply chain robustness (SCR) and financial performance (FP) in the freight logistics sector in South Africa post-COVID-19 era. Employing a survey research design and quantitative methodology, the research utilised a purposive sampling technique to recruit 500 professionals specialising in supply chain, operations, and finance from freight logistics firms across the Gauteng, North-West, and Mpumalanga provinces of South Africa. The study assessed various SCM practices, specifically focusing on capacity and skills management (CSM), customer relationship management (CRM), and supplier relationship management (SRM) as independent variables. The mediating variable was SCR, with FP being the outcome variable. Hypotheses were tested using Partial Least Squares structural equation modelling (PLS-SEM). In the findings, both CRM and SRM demonstrated significant positive impacts on SCR, while CSM was statistically insignificant. Furthermore, SCR was found to have a significant positive effect on FP. A significant mediating effect of SCR on the association of CRM and SRM on FP was observed. The study is a groundbreaking attempt to provide insights into which SCM factors deserve attention when attempting to strengthen the robustness and FP of freight logistics supply chains.
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 |