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: 562 / 565 publications (99.5%). Latest observation: 21 Oct 2026, 00:14 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 00:16 UTC — 28 Oct 2026 19:31 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.
565 / 565 with data · 0 missing or unmatched. Percentages use all 565 selected publications.
565 / 565 with data · 0 missing or unmatched. Percentages use all 565 selected publications.
565 / 565 with data · 0 missing or unmatched. Percentages use all 565 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 | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 122 | 122 | 122/122 | 122/122 |
| 2025 | All selected publications | 166 | 166 | 166/166 | 166/166 |
| 2026 | All selected publications | 275 | 275 | 272/275 | 275/275 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 183 | 122 | 122/122 | 122/122 |
| 2025 | All selected publications | 126 | 166 | 166/166 | 166/166 |
| 2026 | All selected publications | 19 | 275 | 272/275 | 275/275 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 208 | 122 | 122/122 | 122/122 |
| 2025 | All selected publications | 127 | 166 | 166/166 | 166/166 |
| 2026 | All selected publications | 20 | 275 | 272/275 | 275/275 |
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 565 / 565 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): 2026-10-22T00:16:24.584901+00:00 — 2026-10-28T19:31:12.967391+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 | 565 | 565/565 |
| 2018 | All selected publications | 0 | 565 | 565/565 |
| 2019 | All selected publications | 0 | 565 | 565/565 |
| 2020 | All selected publications | 0 | 565 | 565/565 |
| 2021 | All selected publications | 0 | 565 | 565/565 |
| 2022 | All selected publications | 0 | 565 | 565/565 |
| 2023 | All selected publications | 0 | 565 | 565/565 |
| 2024 | All selected publications | 19 | 565 | 565/565 |
| 2025 | All selected publications | 130 | 565 | 565/565 |
| 2026 | All selected publications | 209 | 565 | 565/565 |
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 | 2 |
| 2024 | 122 |
| 2025 | 166 |
| 2026 | 275 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 10 | 9 | 9 | 10/10 | 1.29 | 1 | 57.1 | 7/10 · 70.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 555 | 321 | 349 | 555/555 | 0.58 | 0 | 28.1 | 555/555 · 100.0% |
* Percentage among publications with a known citation count.
The utilization of powerful machine learning models in artificial intelligence offers novel prospects for the identification of fraudulent activities. Artificial Intelligence (AI) is a revolutionary technological tool that enhances the ability to detect and prevent fraud by improving efficiency and effectiveness. This research offers a thorough examination of the utilization of artificial intelligence technology in the realm of procurement fraud prevention and detection. Additionally, it highlights the obstacles that arise when employing machine learning techniques for the purpose of identifying and preventing fraudulent activities. A mixed methods approach was employed in this study, wherein data was collected through an unstructured interview and questionnaire. We conducted a comprehensive review of relevant scholarly articles and online resources. The findings indicate that fraudsters are progressively advancing in their skills, which poses a significant challenge in detecting fraudulent activities. The advent of AI in fraud detection has demonstrated its transformative impact. AI has achieved unparalleled precision and velocity in crime detection and prevention, surpassing the capabilities of any human. Artificial intelligence (AI) enhances the capacity for automation. Accessing unstructured data in the form of spreadsheets, digital documents, and email inboxes poses a significant issue for the procurement function. In order to achieve a successful procurement transformation, businesses should prioritize the creation of essential tools, guarantee acceptance through the establishment of a superior user experience, and integrate both novel and pre-existing technology. It is imperative to disseminate knowledge to the general public regarding the escalating sophistication of artificial intelligence (AI) in the realm of fraud detection and prevention. This includes elucidating the potential benefits of AI in identifying patterns of suspicious activities, assessing its efficacy in predicting potential threats or fraudulent activities prior to their manifestation, and exploring its utility in analyzing historical data pertaining to both familiar and unfamiliar forms of fraudulent behavior.
The amalgamation of traditional and modern governance systems represents a transformative advancement in contemporary African government. This study examines the concept of "hybridity governance" within the African context, providing a comprehensive theoretical framework that integrates modern institutional procedures with traditional governance systems. The paper examines the evolution of African governance from pre-colonial to post-colonial eras, illustrating the emergence of hybrid governance as a response to internal dynamics and external influences. It accomplishes this by utilising historical studies. The philosophical underpinnings are investigated, highlighting organisational and social concepts that elucidate the acceptance of hybrid models. The paper elucidates the applications, accomplishments, and challenges of hybrid government in several African nations through various empirical case studies. A critical examination examines the consequences of these governance paradigms for public administration in Africa. It underscores opportunities for innovation and enhanced flexibility, while also emphasising intrinsic challenges such as job ambiguity and conflict. The report concludes with forecasts regarding the future trajectory of hybrid governance in Africa, considering the interplay of local socio-political dynamics, global interconnectedness, and technological advancements. This article serves as a vital resource for policymakers, researchers, and stakeholders interested in the evolving governance paradigm in Africa, providing valuable applications and recommendations.
This paper examines the shift from Industry 4.0 to Industry 5.0 in relation to sustainable supply chain management (SCM), highlighting the incorporation of human-centric technologies. As industries progress, there is an increasing necessity to integrate technologies that enhance human-machine collaboration, optimise operational efficiency, and foster sustainability. This work aims to do a systematic review of the evolutionary process, emphasising the transformation of supply chain management by these technologies. A systematic review technique, adhering to the PRISMA framework, was utilised to collect and assess pertinent material published between 2010 to 2024. The review encompassed an exhaustive database search, stringent eligibility screening, and thematic analysis via Atlas-ti software to discern main themes and patterns concerning the incorporation of human-centric technology in supply chain management. The results indicate that the change to Industry 5.0 entails a substantial movement towards human-automation collaboration, with AI and machine learning as essential components. Digital transformation is redefining supply chain management by utilising big data, the Internet of Things, and blockchain technology to enhance transparency, traceability, and decision-making. Bionic supply chains, integrating human intelligence with machine efficiency, are developing as a vital foundation for operational resilience and sustainability. The study suggests that the incorporation of human-centric technology in supply chain management enhances efficiency and sustainability while fostering a more resilient supply network adept at reacting to interruptions. This paper offers essential recommendations for academics and practitioners seeking to enhance supply chain operations in the context of Industry 5.0.
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.
Competitive intelligence strategies are employed by higher education institutions to assist with student recruitment. These competitive intelligence (CI) strategies help maintain or increase market share in education. Utilising competitive intelligence is crucial for firms in competitive markets, assisting in strategic planning and execution. Higher education organisations can benefit from CI to make informed decisions and develop strategic goals. The competition between selected public universities that reside in the same town has resulted in devising competitive strategies to attract grade 12 students with effective and innovative student recruitment strategies. The study sought to examine how competitive intelligence is used as a strategy to promote student recruitment at selected public universities. The study adopted a quantitative research approach where 234 first-time entering university students were used as key informants. To collect data, a questionnaire was used and is attached. It was discovered that both institutions utilised similar strategies to recruit students. Results reveal that the selected public universities employ traditional and technology-based strategies for student recruitment, relying on past success rather than a standardised approach based on competitive intelligence. Further research is needed to evaluate the effectiveness of competitive intelligence strategies in student recruitment, aiming to promote diverse communication needs among current and potential students.
Despite extensive legislations and child protection policies, Child Sexual Abuse (CSA) remains a persistent problem across South African rural communities. CSA remains a challenging issue globally with evidence of emotional and psychological impacts on victims, families and professionals assigned to respond to these incidents. This paper aims to examine institutional and systemic barriers to preventing CSA in rural areas, with focus on low reporting and effective response to CSA cases focusing on Community Policing Forum (CPF), police officers and social workers. Guided by Social Cognitive Theory (SCT) the study adopted qualitative research approach to explore participants’ experiences of CSA investigation processes. Twenty-four participants: 5 CPF members, 15 police officers and 4 social workers were purposively selected. Data was collected through one-on-one semi structured interviews and analysed using Thematic Analysis (TA) informed by Braun and Clarke’s six phase approach. Three interrelated themes emerged: 1) insufficient knowledge, 2) Motivational fatigue, and 3) Dysfunctional institutional systems. Findings in this study revealed that failure to effectively respond to CSA emerges from inadequate facilities, individual capability and motivational fatigue. The study recommends clearly defined stakeholders’ roles, training, institutional support, and community-based prevention and awareness programmes. Furthermore, the study recommends sustained intersectoral and multidisciplinary collaboration to address and eradicate barriers to CSA investigations through community-based programmes. Sustainable prevention method that can promote awareness, motivation, and effective collaboration to prevent, detect and diminish CSA are also essential to improve institutional accountability and ensure effective response to CSA in rural areas.
Section 24 of the Constitution of the Republic of South Africa guarantees everyone the right to an environment that is not harmful to health or well-being. It further requires the state to take reasonable measures to prevent environmental degradation, protect natural resources, and promote sustainable development. Despite this constitutional commitment, South Africa continues to experience increasing climate risks and environmental challenges. Small businesses, particularly those operating in informal and urban settings, are both contributors to and affected by these challenges. Their activities may contribute to environmental harm through poor waste management, inefficient energy use, and limited access to sustainable practices. At the same time, they remain vulnerable to climate impacts such as flooding, water shortages, and extreme weather events. This study examines how weaknesses in climate policy implementation undermine the practical realization of environmental rights under section 24. Using qualitative doctrinal and policy analysis, the study evaluates constitutional provisions, environmental legislation, climate policies, and governance frameworks. Literature reveal that South Africa has developed strong legal and policy frameworks, but implementation remains limited by weak enforcement, fragmented governance, inadequate institutional capacity, and poor coordination across government spheres. These challenges create a gap between constitutional commitments and the lived environmental realities of vulnerable communities and small businesses. Moreover, with appropriate support, these enterprises can adopt sustainable practices, improve resilience, and contribute to broader climate objectives. The study concludes that environmental rights under section 24 cannot be fully achieved through legislation alone. Effective implementation requires stronger accountability, coordinated governance, and practical support mechanisms. It recommends integrating small businesses into climate planning, improving access to climate education and green technologies, and providing incentives for sustainable practices. These measures can strengthen climate resilience, reduce environmental harm, and ensure that the constitutional right to a healthy environment is realized in practice.
Street food plays a vital role in the informal economies of many African countries, especially South Africa. However, evidence suggests that this food poses significant public health risks due to being prepared and sold under unsanitary conditions. This paper explored food safety challenges for street food vendors in Tshilamba, a rural township in Limpopo, South Africa, within the broader Southern African Development Community (SADC) context. This paper used a triangulated method to collect data from primary and secondary sources. It collected primary data from 23 street vendors and insights from 4 key stakeholders. The results indicate that over 80% of street food vendors work in informal, high-traffic areas such as bus terminals and marketplaces that often lack basic sanitation and infrastructure. This situation reflects comparable challenges faced by countries within the SADC region, such as Kenya, Malawi, Mozambique, Zambia and Zimbabwe. In these contexts, vendors operating under analogous conditions are often subjected to eviction because of non-compliance with food safety regulations. Despite existing initiatives, food control programs throughout various regions of Africa continue to exhibit significant weaknesses and require substantial reform. Thus, the paper recommended the incorporation of informal food vendors into established food safety frameworks, the enhancement of regulatory oversight, and the allocation of resources towards the development of infrastructure that facilitates hygienic food vending practices. These actions are vital for improving public health and supporting informal livelihoods.
Armed conflict significantly disrupts public health systems, yet the mechanisms linking violence to endemic disease outbreaks remain insufficiently understood. This study examines how violent conflict affects disease governance and health service delivery across Sudan’s conflict-affected regions between 2000 and 2024. Using a spatial panel dataset that combines geo-referenced conflict events from the Armed Conflict Location and Event Data Project (ACLED), epidemiological surveillance records, environmental indicators, and subnational governance measures, the analysis evaluates the relationship between conflict intensity, governance capacity, and endemic disease incidence. The results indicate that areas experiencing higher levels of violence exhibit significantly greater incidence of malaria, cholera, and measles. These effects are particularly pronounced where health infrastructure has been damaged and administrative capacity has weakened. Regions with stronger local governance demonstrate greater resilience, maintaining partial vaccination coverage and disease surveillance despite ongoing conflict. Spatial models further reveal significant spillover effects, with outbreaks spreading along displacement corridors and border regions. The findings highlight the central role of governance capacity in mediating health outcomes during armed conflict and underscore the importance of conflict-sensitive health interventions. Strengthening decentralized health governance, protecting health infrastructure, and improving cross-regional disease surveillance are essential for mitigating endemic disease risks in fragile and conflict-affected settings.
The study examines how environmental sustainability reporting influences the performance of listed construction firms in Zimbabwe. The study responds to a notable research gap in developing economies, particularly within the construction sector, where limited qualitative evidence exists on how managers perceive the relationship between environmental corporate sustainability practices and organisational performance. While prior studies have largely focused on quantitative approaches in developed contexts, this paper adopts a qualitative perspective to generate context-specific insights. Guided by the interpretivist philosophy and informed by Signalling Theory and Legitimacy Theory, the study employed a qualitative research design using purposive sampling. Data were gathered through semi-structured interviews, and document analysis of sustainability reports from selected firms listed on the Zimbabwe Stock Exchange. The data were analysed through thematic and content analysis to identify recurring patterns and perceptions. The findings indicate that environmental sustainability reporting is generally perceived to enhance firm performance through improved corporate reputation, stronger stakeholder confidence, regulatory compliance, operational efficiency, waste reduction, and better resource management. Key environmental practices identified include environmental management systems, recycling and reuse initiatives, pollution control measures, land rehabilitation, and water conservation strategies. However, the study also found that firms face constraints such as resource limitations, economic instability, and uneven regulatory enforcement, which may hinder the full benefits of environmental sustainability initiatives. The paper concludes that the environmental dimension of corporate sustainability reporting can contribute positively to organisational performance when supported by effective implementation and strategic commitment. It recommends that listed firms strengthen environmental governance systems, integrate sustainability into core business strategy, invest in cleaner technologies, and improve disclosure quality. Policymakers are encouraged to enhance regulatory support and industry guidance for sustainability reporting. Future research may extend this inquiry to other sectors, compare listed and non-listed firms, and explore longitudinal changes in sustainability reporting practices across emerging markets.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:50 UTC · brss | complete · brss · 20 Oct 2026 19:49 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |