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: 88 / 88 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 — 29 Oct 2026 18:49 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.
88 / 88 with data · 0 missing or unmatched. Percentages use all 88 selected publications.
88 / 88 with data · 0 missing or unmatched. Percentages use all 88 selected publications.
88 / 88 with data · 0 missing or unmatched. Percentages use all 88 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 13 | 13 | 13/13 | 13/13 |
| 2023 | All selected publications | 27 | 27 | 27/27 | 27/27 |
| 2024 | All selected publications | 23 | 23 | 23/23 | 23/23 |
| 2025 | All selected publications | 16 | 16 | 16/16 | 16/16 |
| 2026 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 73 | 13 | 13/13 | 13/13 |
| 2023 | All selected publications | 43 | 27 | 27/27 | 27/27 |
| 2024 | All selected publications | 30 | 23 | 23/23 | 23/23 |
| 2025 | All selected publications | 5 | 16 | 16/16 | 16/16 |
| 2026 | All selected publications | 1 | 9 | 9/9 | 9/9 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 93 | 13 | 13/13 | 13/13 |
| 2023 | All selected publications | 55 | 27 | 27/27 | 27/27 |
| 2024 | All selected publications | 35 | 23 | 23/23 | 23/23 |
| 2025 | All selected publications | 6 | 16 | 16/16 | 16/16 |
| 2026 | All selected publications | 1 | 9 | 9/9 | 9/9 |
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 88 / 88 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): 2026-10-21T07:22:44.537622+00:00 — 2026-10-29T18:49:02.399254+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 | 88 | 88/88 |
| 2018 | All selected publications | 0 | 88 | 88/88 |
| 2019 | All selected publications | 0 | 88 | 88/88 |
| 2020 | All selected publications | 0 | 88 | 88/88 |
| 2021 | All selected publications | 0 | 88 | 88/88 |
| 2022 | All selected publications | 3 | 88 | 88/88 |
| 2023 | All selected publications | 19 | 88 | 88/88 |
| 2024 | All selected publications | 47 | 88 | 88/88 |
| 2025 | All selected publications | 87 | 88 | 88/88 |
| 2026 | All selected publications | 34 | 88 | 88/88 |
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 |
|---|---|
| 2022 | 13 |
| 2023 | 27 |
| 2024 | 23 |
| 2025 | 16 |
| 2026 | 9 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 88 | 152 | 190 | 88/88 | 1.73 | 1.0 | 59.1 | 88/88 · 100.0% |
* Percentage among publications with a known citation count.
The Covid-19 pandemic, a catalyst in embracing the online mode of learning, is one of the key motivating factors for a paradigm shift in curriculum development due to the increased focus and reliance on technology. For the effective education of tertiary students globally, a revised curriculum development integrated with the Learning Management Systems and other eLearning platforms or tools that support asynchronous learning play a key role. This study seeks to determine the influence of user experience and user interface design of e-learning platforms on learning experience in higher education. A systematic review of studies regarding usability of e-learning platforms at tertiary institutions was conducted to determine the common issues and successes. A snapshot of research over the last five years was used in a systematic review to determine the influence of UX/UI on eLearning concerning higher education. Using the ERIC and Google scholar databases of journals, and specific criteria for selection of publications, 25 articles were examined in this study. Findings indicate that focused attention on interface design and user experience of eLearning systems for effective learning is crucial.
The study explored the adoption of information communication technologies (ICT) and its integration in Africa as an e-Government system. The article contributes to the continuing debate regarding the constraints that developing-country e-government systems face when it comes to the implementation and adoption of ICT as e-Governance for service delivery and the realization of socio-economic development. The study covers the various stakeholders who may have an impact on the implementation of e-Government at the grassroots level. It also highlights the barriers cited by other scholars of e-Governance that require local government attention. The impediments include challenges with governance, access to resources, leadership, ICT skills and funding. The study primarily relies on secondary data that is available in both the private and public domain to produce qualitative primary data. The research observations are on the essential role that local municipalities play in pursuing e-Government by using inductive thematic data analysis. The research concluded that the planning and implementation of e-governance should focus on finding methods to address a variety of issues which includes amongst other ensuring that the existing e-Governance initiatives gives valuable insight into what works and what does not, and provides meaningful guidance in developing and refining e-governance.
Promoting dynamics of curriculum implementation that help all teachers and learners meet their needs and understand who they are is critical. Such is equally needful in special schools which use the mainstream curriculum to teach learners with disabilities. This study sought to explore the dynamics that enhance implementing a mainstream English curriculum at a school for the deaf in Eswatini. This was aimed to assist teachers in reflecting on and critiquing their practices and experiences to improve their classroom actions; and to raise awareness of the natural identity of both teachers and learners at the school with the hope of meeting individual needs and, ultimately, the teaching and learning goals. Utilizing purposive sampling, this qualitative study selected six teachers of English Language at the school. The pragmatic paradigm, action research design, and natural identity theory framed the study. Semi-structured interviews, Zoom focus-group discussions, document review, and reflective activities were used as data-generation methods. Findings revealed that implementing the mainstream English curriculum at the school seemed to overlook the importance of individual dynamics, which are vital in meeting unique individual needs. Personal dynamics combine the strengths of top-down and bottom-up dynamics Thus, relieving the remarkable tension between the dominant top-down and bottom-up dynamics. Consequently, this study recommends a balance between the top-down, bottom-up, and individual dynamics to successfully implement the mainstream English curriculum at the school.
COVID-19 has been observed as the Fifth Industrial Revolution (5IR), which has naturally advanced education five/ten years ahead of digitalisation. The COVID-19 revolution has obliged everyone to be a student needing to be educated about national lockdowns, personal hygiene practices, digital technologies, and vaccines. This study intended to explore lessons learned by higher education institution (HEI) students in Eswatini, Lesotho, the Republic of South Africa, and Zimbabwe during the COVID-19/5IR which helped them to complete their PhD studies. Using purposive with convenience sampling, this study selected twenty most accessible PhD students. The pragmatic paradigm, participatory action research (PAR), and natural identity were used to frame this study in order to guide reflective activities, Zoom focus-group discussions, and semi-structured interview data-generation methods. Findings indicated that students achieved good education on personal hygiene practices and digital technologies that assisted them to effectively deal/continue with their studies. However, education on vaccines remained a major concern because participants believed that the world was treating symptoms of COVID-19 by vaccinating humans more than dealing with the source/s of the virus before it affected humans. Consequently, this study recommends a good education that balances personal, societal, and professional needs to understand natural identities.
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.
This study investigates how geopolitical risk moderates the relationship between investor attention and stock market volatility in both emerging and developed markets. To achieve this objective, the GARCH-MIDAS model is employed to decompose daily market returns into short- and long-term volatility components. The Google Search Volume Index is used as a proxy for investor attention along with country-specific geopolitical risk indices which are assessed for the period spanning from 2014 to 2023. The findings reveal that the effect of investor attention on stock market volatility is not uniform but instead varies across and within developed and emerging markets. Furthermore, GPR is found to be a crucial factor that can either weaken, magnify, or change the nature of the relationship between investor attention and volatility depending on the surveyed economy. The findings highlight the critical role of geopolitical risk in shaping market dynamics, suggesting that both investors and policymakers should incorporate geopolitical factors in risk management and portfolio strategies. The study contributes to existing literature by providing a novel perspective on how geopolitical risk moderates the relationship between investor attention and market volatility, utilizing a comparative analysis across different economic regions, which has not been done before.
Global consumers are experiencing the adverse effects of over-indebtedness, which impacts their well-being. This study article emphasises the significant repercussions experienced by consumers regarding their welfare due to over-indebtedness. A qualitative research approach was employed to identify a deliberate sample of five registered debt counsellors and financial planners. Semi-structured interviews were employed, and theme qualitative analysis was performed. The results indicate that excessive debt adversely affects consumer well-being and quality of life. Inadequate financial well-being was recognised as the primary catalyst that exacerbated other issues for over-indebted consumers, including deteriorated physical and mental health. Moreover, stress and stigmatisation have been identified as detrimental consequences stemming from financial hardships. This article demonstrates that financial debt is correlated with and adversely affects consumer physical and mental well-being, highlighting the necessity for immediate solutions, including enhanced financial education and more robust laws.
Parents and caregivers of children with developmental disabilities have a dual responsibility of addressing the child’s unique developmental needs while also negotiating broader societal expectations surrounding caregiving. Sustaining a balance between caregiving demands and personal well-being is often challenging, which increases their vulnerability to burnout and adverse mental health outcomes. This qualitative study used focus group discussions to explore the lived experiences of caregivers who were raising children aged 6 months to 12 years with various developmental disabilities in a rural setting. Participants were purposefully recruited from a regional hospital in northern KwaZulu-Natal, South Africa, where they were accessing healthcare. Eighteen (n = 18) isiZulu-speaking caregivers participated in five focus groups. The data were analysed using a thematic approach that followed a set framework. Three overarching themes and eight subthemes emerged from the data, capturing their experiences, the intersecting challenges they encountered, and their responses to and adaptations to the undesired outcomes. The findings showed a significant gap in knowledge and access to information regarding children's conditions among families, community members, and health professionals. Psychological acceptance was foundational for coping with challenges and was perceived as essential, requiring a swift adjustment to their current reality. This study highlights the persistent and multifaceted challenges faced by caregivers of children with developmental disabilities. The primary burdens are rooted in systemic issues, specifically healthcare limitations and educational barriers. The findings show an urgent need for structured interventions that prioritise caregiver mental health.
In the past, accounting education has frequently placed an emphasis on individual abilities and processes; nevertheless, the field of accounting in the real world requires collaboration and critical thinking. This study investigates the ways in which collaborative learning practices might transform accounting classes into communities that actively solve problems, so better preparing students for the issues they would face in their professional lives. The research investigates the use of small-group work, think-aloud protocols, and peer knowledge sharing in the context of financial accounting education. This is accomplished through the observation of classrooms and the analysis of teaching techniques. The findings indicate that when students take part in collaborative problem-solving activities, they have the opportunity to acquire a more profound comprehension of various topics, a more enhanced awareness of their own thought processes, and improved analytical abilities. This study demonstrates how collaborative learning environments are similar to professional accounting practices. These environments are characterised by teams working together to analyse complex financial data and make decisions based on that analysis. Among the important tactics that have been discovered include think-aloud protocols that clarify thinking processes, planned group activities that foster multiple points of view, and opportunities for peer teaching that reinforce learning through discussion. According to the findings of the research, collaborative learning not only improves the problem-solving abilities of individuals, but it also helps to cultivate vital professional qualities such as communication, teamwork, and critical evaluation of various approaches. These discoveries have significant repercussions for accounting educators who are interested in moving beyond the conventional teaching methods and adopting methods that are more interesting and productive for their students. According to the findings of the study, the establishment of collaborative learning communities in accounting education necessitates the meticulous organization of group activities, the competent facilitation of peer interactions, and the establishment of a classroom culture that places a high value on different thinking and the exchange of information. Accounting students benefit from this method because it helps them improve their technical and analytical skills while also preparing them for the collaborative nature of professional work.
The Marshall-Lerner condition states that a trade balance improves after currency depreciation if trade elasticities exceed one. Using the Vector Error Correction Method (VECM), this study tests the condition for South Africa, focusing on how exchange rate changes affect the trade balance under a floating exchange rate regime. The analysis examines short- and long-run impacts on exports and imports to assess whether exchange rate adjustments can improve the trade balance. Findings reveal that global income growth and exchange rate appreciation positively influence exports, while imports increase with both appreciation and higher domestic income. Although exports and imports respond strongly to exchange rate changes, the Marshall-Lerner condition does not hold for South Africa, suggesting that exchange rate adjustments alone may not improve the trade balance.
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 |