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: 6 / 6 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 — 23 Oct 2026 10:24 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 7 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 6 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-21T07:22:55.661416+00:00 — 2026-10-23T10:24:38.824091+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 0 | 6 | 6/6 |
| 2024 | All selected publications | 1 | 6 | 6/6 |
| 2025 | All selected publications | 2 | 6 | 6/6 |
| 2026 | All selected publications | 3 | 6 | 6/6 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2024 | 6 |
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 | 1 | 7 | 5 | 1/1 | 7.0 | 7 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 0 | 1 | 5/5 | 0.0 | 0 | 0.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
Over the years, there have been huge variations in the growth performances of the economies in SSA. Whilst these disparities can be attributed to a wide range of factors, it is generally understood that differences in their economic structures explain the capacity for generating growth and absorbing shocks during a recession. This study contributes to literature by examining the impact of institutional quality and financial development on economic growth in low- and middle-income countries. Data was obtained from the World Bank and covered the period from 1975 to 2020. The study employed an ARDL model to establish both short and long run dynamics in the two sub samples. The study confirmed both short and long run causality from financial and institutional quality to growth. Institutional quality enhances growth in both low- and middle-income countries in the long run. Whilst the direction of the impact is the same, the magnitude of the impact of institutional quality is different within the two categories. Institutional quality plays a more significant role in low-income countries compared to middle income economies. The study brings out potential financial fragility and systemic risks in financial institutions among countries in SSA. Policies that enhance the quality, consistency, and uniformity of legal reasoning in judicial decisions are ideal. Reducing the risk profile for investments may enhance the flow of credit to the private sector by financial institutions.
This study examines the short-run and long-run relationships between remittances and economic growth in Zimbabwe from 1980 to 2022, using the autoregressive distributed lag (ARDL) bounds testing approach. To ensure the reliability, validity, and stability of the data, the study used the Jacque-Bera normality test, Breusch Godfrey serial LM test, and Bruesch-Pagan-Godfrey heteroskedasticity test together with a cumulative sum of recursive residuals and cumulative sum of recursive squares. The dependent variable in this study is domestic credit to the private sector as a percentage of GDP, and the independent personal remittances as a percentage of GDP, with the control variables per capita GDP growth, inflation, and gross fixed capital formation. The theoretical framework explores key perspectives, including the remittance-development optimist view, which posits that remittances can drive investment and economic progress; the supply-leading hypothesis, suggesting financial development as a precursor to economic growth; and the growth-led hypothesis, which sees economic development as a catalyst for financial development. The results from the ARDL test show no evidence of co-integration in the long run; however, in the short run, a significant positive effect on financial development is observed. This finding supported the complementarity theory and showed how remittances stimulate demand for financial services. Particularly problematic was the negative and statistically significant effect of inflation on financial development, which can potentially harm the performance of financial markets and slow down financial activities. The study suggests implementing targeted policies to limit parallel market activities and direct resources towards the formal sector.
Social media platforms such as WhatsApp, Twitter, Facebook, Instagram, and YouTube continue to provide higher education lecturers with the opportunity to share personal and academic resources. They use these platforms to communicate with colleagues and students for educational purposes. This study was motivated by the fact that the COVID-19 pandemic outbreak has made online learning a priority for higher education institutions, and lecturers in South Africa have had to rethink the adoption of social media platforms as learning tools. Although social media platforms were used before the COVID-19 pandemic, on a small scale, this study investigated the readiness and challenges of lecturers in adopting social media platforms as a teaching and learning tool during the COVID-19 pandemic outbreak. This study collected qualitative data from individual lecturers using a purposeful sampling technique. The findings of the study indicate that lecturers are ready to adopt social media as a teaching and learning tool during the covid 19 pandemic. WhatsApp is the most used social media platform for teaching and learning. This study also identified some benefits and challenges in adopting social media platforms for teaching and learning in higher education institutions (HEIs), however, in practicality these challenges should be explored and addressed before rolling out social media usage in HEI’s. Based on the findings, the study provides recommendations on the use of social media platforms in teaching and learning in HEI’s during pandemics, as well as future research on social media use to assist in teaching and learning in HEI’s.
This paper aims to analyse the behaviours and practices of health care service providers that constitute supply-side abuse of the medical health insurance schemes premised on the notion that patients visit doctors precisely to learn what amount and type of care is medically necessary. Using qualitative methods, individual in-depth interviews were carried on private health service practitioners and thematic analysis via SPSS. The study identifies systemic abuses like overcharging, billing for services not provided, and over prescription. Implication of these findings show that Fee-for-Service Payment Models incentivize providers to deliver more services, leading to potential over-utilization and increased costs in Botswana’s healthcare; due to information asymmetry providers may prioritize quantity over quality of care exploiting patients’ lack of knowledge to recommend unnecessary tests or treatments to maximize on revenue but also costs. On how to minimize supply side moral hazards, the propositions is for pursuance of cost containment strategies to ensure the smooth operation of the schemes like price listings, educate beneficiaries on cost implications and sustainability threats. These propositions can be instituted through an industry led bench-marking, on nationally through regulatory frameworks since moral hazards are an economic cost as inefficiencies brings mis-allocation of resources to enhance the sustainability of medical aid-based health care provisioning.
The study employed the Autoregressive Distributed Lag (ARDL) Bounds model to test for cointegration and the Toda and Yamamoto and Dolado and Lütkepohl (TYDL) model to examine the direction of causality between exports and economic growth for Botswana covering the period 1980 to 2021. Exports statistically positively affect economic growth both in the short-run and long-run and trade openness is detrimental to economic growth both in the short-run and long-run. Economic growth promotes exports both in the short-run and long-run. Economic growth granger causes exports and indirectly influences exports through trade openness and consumer price index. Furthermore, there exists bidirectional causality between economic growth and the consumer price index. The findings underscore the importance of maintaining a healthy and stable macroeconomic environment in Botswana. In addition, a well-rounded approach that considers both export-oriented industrialization and import substitution strategies remains essential for a robust economic growth trajectory.
This study examines the short-run and long-run relationships between remittances and economic growth in Zimbabwe from 1980 to 2022, using the autoregressive distributed lag (ARDL) bounds testing approach. To ensure the reliability, validity, and stability of the data, the study used the Jacque-Bera normality test, Breusch Godfrey serial LM test, and Bruesch-Pagan-Godfrey heteroskedasticity test together with a cumulative sum of recursive residuals and cumulative sum of recursive squares. The dependent variable in this study is domestic credit to the private sector as a percentage of GDP, and the independent personal remittances as a percentage of GDP, with the control variables per capita GDP growth, inflation, and gross fixed capital formation. The theoretical framework explores key perspectives, including the remittance-development optimist view, which posits that remittances can drive investment and economic progress; the supply-leading hypothesis, suggesting financial development as a precursor to economic growth; and the growth-led hypothesis, which sees economic development as a catalyst for financial development. The results from the ARDL test show no evidence of co-integration in the long run; however, in the short run, a significant positive effect on financial development is observed. This finding supported the complementarity theory and showed how remittances stimulate demand for financial services. Particularly problematic was the negative and statistically significant effect of inflation on financial development, which can potentially harm the performance of financial markets and slow down financial activities. The study suggests implementing targeted policies to limit parallel market activities and direct resources towards the formal sector.
Social media platforms such as WhatsApp, Twitter, Facebook, Instagram, and YouTube continue to provide higher education lecturers with the opportunity to share personal and academic resources. They use these platforms to communicate with colleagues and students for educational purposes. This study was motivated by the fact that the COVID-19 pandemic outbreak has made online learning a priority for higher education institutions, and lecturers in South Africa have had to rethink the adoption of social media platforms as learning tools. Although social media platforms were used before the COVID-19 pandemic, on a small scale, this study investigated the readiness and challenges of lecturers in adopting social media platforms as a teaching and learning tool during the COVID-19 pandemic outbreak. This study collected qualitative data from individual lecturers using a purposeful sampling technique. The findings of the study indicate that lecturers are ready to adopt social media as a teaching and learning tool during the covid 19 pandemic. WhatsApp is the most used social media platform for teaching and learning. This study also identified some benefits and challenges in adopting social media platforms for teaching and learning in higher education institutions (HEIs), however, in practicality these challenges should be explored and addressed before rolling out social media usage in HEI’s. Based on the findings, the study provides recommendations on the use of social media platforms in teaching and learning in HEI’s during pandemics, as well as future research on social media use to assist in teaching and learning in HEI’s.
This paper aims to analyse the behaviours and practices of health care service providers that constitute supply-side abuse of the medical health insurance schemes premised on the notion that patients visit doctors precisely to learn what amount and type of care is medically necessary. Using qualitative methods, individual in-depth interviews were carried on private health service practitioners and thematic analysis via SPSS. The study identifies systemic abuses like overcharging, billing for services not provided, and over prescription. Implication of these findings show that Fee-for-Service Payment Models incentivize providers to deliver more services, leading to potential over-utilization and increased costs in Botswana’s healthcare; due to information asymmetry providers may prioritize quantity over quality of care exploiting patients’ lack of knowledge to recommend unnecessary tests or treatments to maximize on revenue but also costs. On how to minimize supply side moral hazards, the propositions is for pursuance of cost containment strategies to ensure the smooth operation of the schemes like price listings, educate beneficiaries on cost implications and sustainability threats. These propositions can be instituted through an industry led bench-marking, on nationally through regulatory frameworks since moral hazards are an economic cost as inefficiencies brings mis-allocation of resources to enhance the sustainability of medical aid-based health care provisioning.
The study employed the Autoregressive Distributed Lag (ARDL) Bounds model to test for cointegration and the Toda and Yamamoto and Dolado and Lütkepohl (TYDL) model to examine the direction of causality between exports and economic growth for Botswana covering the period 1980 to 2021. Exports statistically positively affect economic growth both in the short-run and long-run and trade openness is detrimental to economic growth both in the short-run and long-run. Economic growth promotes exports both in the short-run and long-run. Economic growth granger causes exports and indirectly influences exports through trade openness and consumer price index. Furthermore, there exists bidirectional causality between economic growth and the consumer price index. The findings underscore the importance of maintaining a healthy and stable macroeconomic environment in Botswana. In addition, a well-rounded approach that considers both export-oriented industrialization and import substitution strategies remains essential for a robust economic growth trajectory.
The increasing nature of competition in the higher education sector of Botswana means that universities need to craft strategies to be more competitive. The recipe for competitiveness is primarily hinged on the ability of institutions to be cognisant of the factors that influence prospective learners in selecting a university of choice to study. They also critically need to know the sources of information where prospective learners acquire information to redirect their marketing strategies. To achieve these objectives, the purpose of this study was to investigate the factors influencing the choice of university of study as well as their sources of information in influencing choice decision-making. The study followed a qualitative research approach and data was collected using in-depth interviews. Thematic narrative analysis was used to unpack the underlying influences on decision-making. The findings indicate that prospective students get their information from multiple factors. The most influential sources identified are family and friends, career fairs and exhibitions, social media, and to a lesser extent the mass media and promotional materials. The findings also showed that prospective university students’ choice of university is influenced by a variety of factors. These include university location, availability of accommodation, perceptions of university reputation, quality of academic programs, alignment of lifelong interests and desires, and the perception of employability. There are other factors that are less influential as degree of persuasion, funding issues, costs associated with applications as well as government processes and procedures. These findings have potential to influence university marketing strategies and policies in seeking competitiveness and improvement in enrolment numbers.
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 |