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: 103 / 103 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 — 28 Oct 2026 11:50 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.
103 / 103 with data · 0 missing or unmatched. Percentages use all 103 selected publications.
103 / 103 with data · 0 missing or unmatched. Percentages use all 103 selected publications.
103 / 103 with data · 0 missing or unmatched. Percentages use all 103 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| 2022 | All selected publications | 31 | 31 | 31/31 | 31/31 |
| 2023 | All selected publications | 42 | 42 | 42/42 | 42/42 |
| 2024 | All selected publications | 17 | 17 | 17/17 | 17/17 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 44 | 9 | 9/9 | 9/9 |
| 2022 | All selected publications | 218 | 31 | 31/31 | 31/31 |
| 2023 | All selected publications | 334 | 42 | 42/42 | 42/42 |
| 2024 | All selected publications | 119 | 17 | 17/17 | 17/17 |
| 2025 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 81 | 9 | 9/9 | 9/9 |
| 2022 | All selected publications | 284 | 31 | 31/31 | 31/31 |
| 2023 | All selected publications | 410 | 42 | 42/42 | 42/42 |
| 2024 | All selected publications | 132 | 17 | 17/17 | 17/17 |
| 2025 | All selected publications | 6 | 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 103 / 103 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): 2026-10-21T07:22:43.062987+00:00 — 2026-10-28T11:50:12.183571+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 | 103 | 103/103 |
| 2018 | All selected publications | 0 | 103 | 103/103 |
| 2019 | All selected publications | 3 | 103 | 103/103 |
| 2020 | All selected publications | 4 | 103 | 103/103 |
| 2021 | All selected publications | 8 | 103 | 103/103 |
| 2022 | All selected publications | 35 | 103 | 103/103 |
| 2023 | All selected publications | 144 | 103 | 103/103 |
| 2024 | All selected publications | 236 | 103 | 103/103 |
| 2025 | All selected publications | 297 | 103 | 103/103 |
| 2026 | All selected publications | 204 | 103 | 103/103 |
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 |
|---|---|
| 2014 | 1 |
| 2015 | 1 |
| 2017 | 1 |
| 2021 | 9 |
| 2022 | 31 |
| 2023 | 42 |
| 2024 | 17 |
| 2025 | 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 Business Ecosystem & Strategy Bussecon International Academy | 7 | 52 | 60 | 7/7 | 7.43 | 7 | 100.0 | 7/7 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 3 | 9 | 21 | 3/3 | 3.0 | 3 | 100.0 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 93 | 664 | 852 | 93/93 | 7.14 | 6 | 98.9 | 93/93 · 100.0% |
* Percentage among publications with a known citation count.
The reality is that there is a relationship between language and race as advanced and qualified by ethnolinguistics. Such a relationship points to the subjugation of the isiXhosa language (habitually situated in South Africa), among other prescripts, which was fueled by racial hierarchization that ought to be debated within the paradigm of scholarly discourses. The subjugation, distortion and erosion of the isiXhosa language were led by the colonial, apartheid governance and administration that sought to impose censorship. Therefore, this article employs post-colonial theory to argue and scholarly prove that the language and many South African indigenous languages were oppressed based on racial notions that sought to accelerate neo-liberalist and imperialist perceptions. Hypothetically speaking, the isiXhosa language still suffers from the effects of (post)colonialism carried by colonial agents who continue to mock and humiliate the language. The debates and findings underline that such claims (racial hierarchization of the language) must be validated through theoretical and practical discourses. As a result, closing remarks infuse potential recommendations open to public scrutiny regarding the problematised phenomenon and/or conundrum.
The study looked at the role and contribution of entrepreneurship industry to foster social and economic development through small, micro, and medium-sized businesses in South Africa. The conceptual research looked at the influence of small, micro, and medium-sized businesses (SMMEs) on South African development. The study's objective was to evaluate how small, medium-sized businesses (SMMEs) are now driving economic growth and solving social issues in a setting where big businesses and governments appear to be doing very little. As a result, the study examines how SMMEs might help the nation solve persistent societal evils including poverty, inequality, and social isolation. A desktop literature review research design was adopted to collect data on the role of entrepreneurship in South Africa, policies and practices of big business and government that exacerbate social issues in communities and impede socioeconomic development, as well as the specific roles that SMMEs play in achieving socioeconomic development goals. Findings from research indicate that, among other development outcomes, SMMEs are at the vanguard of creating jobs and fostering social and political justice in the nation. Future empirical studies that account for and evaluate the importance of SMME contributions to the construction of economic, social, and political justice in the nation are advised because this work lacks the empirical support necessary to substantiate its conclusions and observations.
Various existing studies have established the multi-faceted nature of social inequalities in South Africa. The social inequalities also segregate schools into urban and rural schools, with adequate or lack of infrastructure influencing learners' performances in various South African schools. Hence, school principals are expected to manage the available resources to attain curriculum delivery and the whole school's performance. This qualitative study explored principals' perspectives on managing uneven school resources to achieve the goals and objectives of the education system. This study adopted an interpretive paradigm to understand the voices of 20 rural school principals in semi-structured interviews. The principals were purposively selected from 20 rural schools in King Cetshwayo district in KwaZulu-Natal. The audio-recorded interviews were thematically analysed to generate themes for findings and discussion. Findings revealed that most rural schools need more adequate school resources, and the principals need more support to attain quality curriculum delivery in schools adequately. The principals also lamented the high expectations placed on their schools for the academic excellence of their learners. Thus, the contents of each subject curriculum could not be efficiently unpacked and delivered to learners. The study, therefore, recommends improvement in resource provision to rural schools. At the same time, principals should be capacitated on effectively managing available school resources to achieve desired and efficient curriculum implementation in rural schools.
This discursive study examined the use of the learning management system (LMS) Moodle in rural South African universities. Moodle, a popular online programme, can be used to deliver learning activities, as well as online learning evaluations. The authors discuss LMS usage and adoption in higher education. LMS is a global online platform used in higher education institutions in developed countries across the globe, for decades. It has improved the education system in these developed countries by providing diverse students with learning opportunities, in their comfort zones. Despite the COVID-19 pandemic lockdown, most developed nations adopted online methods, like LMS, for teaching and learning. Unfortunately, the pandemic lockdown in many developing nations, like South Africa, severely disrupted curriculum and educational activities for months. The South African Department of Higher Education and Training reviewed curriculum delivery approaches, to save academic activities due to COVID-19. Thus, it deemed online learning a higher education alternative to face-to-face curriculum instruction, during the lockdown to salvage the academic calendar, with LMS used as ideal online learning for student engagement.
Cybercrime is touted as any harmful behaviour that is in some way related to a computer but does not have a specific legal reference. Therefore, the objective of this study was to explore cybersecurity as a response to combating cybercrime, focusing on demystifying the prevailing threats, while offering recommendations to the African regions. Moreover, this qualitative study employed a non-empirical research design: Systematic review methodology to analyse grey literature and primary research studies peer-reviewed and published, restricted from 2010-2022, not following yearly sequential consideration. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Critical Appraisal Skill Programme (CASP) were employed to ensure the trustworthiness of the findings of this study based on reviewed conventional and seminal literature studies on this subject. The main findings of this study rest on a lack of a common universal definition of cybercrime, this has an impact on its prevention and ignores enormous economic value associated with the commission of this crime across the world, African regions included. It was also observed that this criminal act is presently committed with internet usage, consisting of copyright infringements, computer-related fraud, child or adult pornography, and network security violations, amongst others. Equally, addressing this scourge in African regions requires advanced skills and knowledge; exceeding the average computer and internet user. It is also critical to recognise the importance of implementing efficient cybersecurity methods, as policing this crime remains an important component of the Law Enforcement Agencies (LEA), and more innovative strategies are required and a globally coordinated response to this problem is urgently sought.
Road’s infrastructure is regarded as an essential factor to achieve development goals. It is recorded that most people living in the rural areas are constrained by poor road infrastructure, thereby causing poverty, hunger, and food insecurity. This situation calls for more investments in road infrastructure to promote agricultural activities. Using systematic review method, this study reviewed literature pertaining to road infrastructure in South Africa, the review focused on the importance, benefits, and present state of road infrastructure and the socio-economic effects of poor road infrastructure. The study revealed that Most South African roads are in bad shape, especially roads in the rural areas. due to lack of qualified personnel to manage road infrastructure, government regulations and policies and financial challenges. The implications of this study's findings are substantial for future research. Firstly, in order to ensure the timely delivery of infrastructure construction projects, the study's findings are expected to provide guidance to decision-makers and stakeholders in South Africa and other nations on how to proactively implement measures to provide and maintain sustainable, good road infrastructure.
Indigenous communities possess rich traditions of conflict resolution rooted in their cultural values, collective decision-making, and community involvement. However, the imposition of Western legal frameworks and colonial histories has often disrupted these practices, leading to increased tensions and unresolved conflicts. This study explored conflict resolution within Indigenous communities, emphasizing the role of social work in facilitating culturally appropriate processes. The study employed a qualitative approach, incorporating interviews with Indigenous leaders, social workers, and community members, alongside a review of relevant literature on traditional practices and social work interventions. Social workers play a crucial role as facilitators, helping to navigate tensions and bridging gaps between traditional practices and contemporary needs. Challenges include a lack of cultural competency and the need for ongoing community engagement. The integration of Indigenous knowledge systems into conflict resolution practices enhance outcomes and foster healing. Social workers prioritize cultural humility and active listening, ensuring that Indigenous voices lead the resolution process. By supporting the reclamation of traditional conflict resolution methods and advocating for culturally sensitive practices, social workers empowered Indigenous communities, promote resilience, and facilitate more effective conflict resolution. This perspective underscores the necessity of collaboration, respect, and recognition of Indigenous sovereignty in all social work interventions.
This study presents a systematic literature review analysing the impact of artificial intelligence (AI) on higher education, focusing on its methods, results, and implications. By synthesising a diverse range of academic papers, the review explores how AI technologies influence educational standards and practices in higher education institutions. Findings reveal that AI has the potential to enhance the quality of higher education by diversifying teaching responsibilities, customising learning experiences, and employing intelligent, adaptive teaching strategies. These capabilities position AI as a transformative tool for improving educational delivery and outcomes. However, the study also highlights significant challenges associated with integrating AI into higher education. These challenges include delineating the appropriate scope of AI use, addressing inequalities in access to digital resources, and ensuring adequate training and support for educators and students. The review underscores the importance of understanding these complexities to guide the development of effective strategies and policies that optimise AI's potential while mitigating its limitations. The review offers critical insights into the dual role of AI in higher education, where it can either advance or hinder educational standards depending on how it is implemented. By examining the advantages, limitations, and broader consequences of AI-powered instructional tools, this study provides a comprehensive perspective on the intricate relationship between AI and educational quality. The findings aim to inform educators, policymakers, and stakeholders about the opportunities and challenges of adopting AI in higher education, contributing to the development of inclusive, innovative, and sustainable educational practices.
The main aim was to determine how the supply chains of the FMCG industry may enhance their resilience through the adoption of digital technologies. Additionally, enhancing visibility and transparency through the augmentation of operational efficiency to elevate overall performance. This analysis utilised the Uncertainty Framework theory, which provides a systematic approach for identifying, categorising, and managing uncertainties within the supply chain. Organisations can formulate strategies to effectively manage and mitigate risks by understanding the many dimensions of uncertainty within the supply chain and their interrelations. The research utilised a qualitative methodology, gathering data via semi-structured interviews with 25 supply chain specialists and senior executives possessing extensive experience in the FMCG sector. The study's findings indicate that digital transformation enhances agility, transparency, and data-driven decision-making, which is crucial for bolstering the resilience of the FMCG supply chain. Six themes emerged from the findings: data-driven decision-making, supply chain visibility and transparency, automation and robots, collaborative platforms and ecosystems, predictive analytics and forecasting, and traceability and sustainability. The research will enhance our understanding of the implementation of digital transformation initiatives throughout FMCG supply chains. This involves analysing the application of digital technologies in supply chain operations. The study may ascertain the impact of these technologies on various resilience criteria, including flexibility, agility, visibility, and responsiveness, by analysing the role of digital transformation in FMCG supply chains. The research findings can assist supply chain managers in making educated decisions on investments and strategic planning for digital transformation initiatives.Research on digital transformation in the FMCG sector is limited, particularly on these unprecedented upheavals. Moreover, there is little study connecting digital transformation with sustainability and resilience in FMCG supply chains, which is essential for comprehending how these projects might collaboratively enhance robust supply systems.
Small and Medium Enterprises (SMEs) in South Africa previously faced challenges due to limited resources, restricted access to technology, and the need to constantly adapt to a dynamic business environment. The introduction of Generative Artificial Intelligence (AI) emerged as a potential solution to these issues, promising to enhance operational efficiency and strategic decision-making. As a representative of developing economies, South Africa experienced a growing interest in AI technologies. This study was conducted to explore the impact of generative AI on SME productivity in South Africa, an area which had been underexplored. Employing a qualitative methodology, the study evaluated the current state and implications of generative AI in South African SMEs. It involved in-depth interviews to gather perceptions, experiences, challenges, and benefits from SME owners and managers regarding the adoption of generative AI technologies. The findings analysed via R Statistical Software revealed significant insights into the specific areas where generative AI substantially impacted SME productivity. It also identified the challenges and opportunities associated with the adoption of generative AI by SMEs, as well as the potential long-term implications. Key findings included notable improvements in data-driven decision-making, operational efficiencies, and market expansion strategies. However, the study also highlighted barriers such as the lack of technical expertise, initial setup costs, and concerns over data security. Overall, the impact of generative AI on SMEs in South Africa was found to be predominantly positive, paving the way for further technological advancements and adoption in the sector.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |