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 07:23 UTC — 29 Oct 2026 16:29 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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 1 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 1 | 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): 2026-10-21T07:23:08.196203+00:00 — 2026-10-29T16:29:50.455322+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 | 0 | 6 | 6/6 |
| 2025 | All selected publications | 0 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2026 | 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 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 1 | 1 | 5/5 | 0.2 | 0 | 20.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
Business Model Innovation (BMI) has been widely recognised by management scholars as a significant approach to analyse complex organisational issues and address challenges in volatile business contexts. Small and Medium Enterprises (SMEs) operating in highly turbulent business environments struggle to be viable. Hence, the need to adopt appropriate business models to ensure resilient and viability. This study sought to examine the influence of BMIs on the ability of SMEs in developing nations to withstand and recover from challenges posed by unstable business environments. This study uses a quantitative approach, with a cross-sectional survey to collect empirical evidence from 327 SMEs selected through quota sampling. Using Structural Equation Modeling (SEM) method, results of the study reveal that BMI has a positive impact on the resilience of SMEs. The findings demonstrated that implementing innovative modifications in the business model, namely value creation, value capture, and value proposition positively influence the resilience of SMEs. The study concludes that implementing innovative business models contributes to the development of resilience among SMEs in emerging economies. This paper is relevant to SMEs operating in developing economies as well as those in volatile business environments.
Does Botswana’s economic growth drive insurance sector development or follows it? This study evaluates the empirical applicability of the supply-leading and demand-following hypotheses. It employs the Autoregressive Distributed Lag bounds testing approach and Granger causality analysis within a Vector Error Correction Model framework, to examines the significance of dynamic long-run, short-run and causal relationship between the Insurance sector development (total insurance penetration) and economic growth (Gross Domestic Product per capita) over the period 2000–2023. To reduce specification bias, the control variables used are gross fixed capital formation for physical capital accumulation, inflation for macroeconomic stability and trade openness for external trade exposure. The findings indicate a statistically significant long-run cointegrating relationship among the variables, with inflation exerting a highly significant negative effect on Gross Domestic Product per capita while total insurance penetration indicates a statistically insignificant direct long-run impact. In the short run, total insurance penetration exerts a robust and statistically significant negative effect on Gross Domestic Product per capita, validating the presence of a 'savings-substitution' effect and domestic capital leakage channel identified in earlier literature. The Pairwise Granger causality analysis yields a strong backing for the demand-following hypothesis at 5% significance level, and a weak evidence of a supply-leading effect at 10% level meaning the insurance market acts primarily as a passive responder to macroeconomic expansion rather than a primary growth locomotive. Policy recommendations stress the need for regulatory reforms to boost domestic insurance premiums reinvestment, stimulate structural product innovation, and deepen financial inclusion to unlock growth-insurance complementarities.
In small and emerging markets like Botswana, what drives the financial resilience of non-life insurers? This study takes a closer look at this question, evaluating audited financial statement data from 14 Non-Bank Financial Institutions Regulatory Authority (NBFIRA) licensed insurers across the year 2010–2022 period. The resulting unbalanced panel dataset of 127 firm-year observations in total is used to test ten potential determinants: profitability, underwriting risk, reinsurance dependence, firm size, leverage, liquidity, asset tangibility, premium growth, firm age, and ownership structure. Following diagnostic testing via the F-test, Breusch-Pagan LM test, and Hausman specification test, the Fixed Effects (FE) model was retained as the preferred estimator. As findings, underwriting risk, rather than weakening solvency, showed the strongest positive association with capital adequacy. The most credible explanation for this is regulatory, companies with heavier claims exposure appear to respond to supervisory pressure by holding more capital, not less. Reinsurance dependence, firm size, liquidity, and asset tangibility were also positively significant, highlighting the importance of risk-transfer mechanisms and effective liquidity management. On the other hand, profitability, leverage, growth, and firm age fell short of significance reflecting the structural constraints of a concentrated, domestically oriented market rather than any theoretical irrelevance of these factors. Risk management practices and firm-specific structural characteristics positively influence solvency adequacy among Botswana's non-life insurers instead of profitability or growth considerations. This research adds to the already existing limited empirical evidence of drivers of solvency margins in Botswana and the Sub-Saharan Africa providing useful insights for insurers, regulators, and policymakers seeking to strengthen risk-based supervision and promote the long-term stability of the insurance sector in Botswana.
This paper analyses the impact of economic globalisation on income inequality in Botswana, emphasising both direct and indirect transmission mechanisms. The study utilises annual time-series data from 1990 to 2023, employing the Autoregressive Distributed Lag (ARDL) model and the Toda–Yamamoto Distributed Lag (TYDL) Granger causality method to examine the interrelations among economic globalisation, trade openness, inflation, economic growth, and income inequality. The results indicate a consistent long-term link among the variables, wherein economic globalisation diminishes income disparity, whilst broader globalisation and trade openness likely to intensify it. The causation findings indicate that both economic globalisation and globalisation directly impact income disparity, while globalisation also indirectly influences inequality via inflation. Real GDP per capita indirectly affects inequality via globalisation, while exports directly contribute to inequality. The study indicates that while economic globalisation fosters economic growth and integration, its advantages are inequitably allocated. It advocates for inclusive economic globalisation policies, targeted fiscal redistribution, financial inclusion, and export diversification to guarantee equitable and sustainable growth in Botswana.
This study examines the corporate governance frameworks of family-owned enterprises in Botswana. Family enterprises constitute a fundamental component of the nation's private sector, accounting for over 70% of GDP and providing employment for approximately 60% of the labour force. Notwithstanding their economic significance, these firms encounter ongoing issues in governance, especially concerning leadership succession, board composition, and professionalisation. This study utilises agency theory, stewardship theory, and the resource-based view, employing a mixed-methods strategy that includes the distribution of 150 structured questionnaires across several sectors such as retail, agriculture, hospitality, and professional services. The results indicate that companies with formal governance frameworks, including independent professional boards, written succession plans, and family protocols, consistently excel in strategic decision-making, transparency, and long-term sustainability compared to their competitors. Nonetheless, obstacles to implementation persist, since numerous enterprises are impeded by cultural opposition to non-family leadership, insufficient understanding of governance mechanisms, and a tendency towards informal decision-making. The article finishes by providing pragmatic ideas for policymakers, entrepreneurs, and development agencies to enhance resilience and competitiveness in this crucial industry.
Does Botswana’s economic growth drive insurance sector development or follows it? This study evaluates the empirical applicability of the supply-leading and demand-following hypotheses. It employs the Autoregressive Distributed Lag bounds testing approach and Granger causality analysis within a Vector Error Correction Model framework, to examines the significance of dynamic long-run, short-run and causal relationship between the Insurance sector development (total insurance penetration) and economic growth (Gross Domestic Product per capita) over the period 2000–2023. To reduce specification bias, the control variables used are gross fixed capital formation for physical capital accumulation, inflation for macroeconomic stability and trade openness for external trade exposure. The findings indicate a statistically significant long-run cointegrating relationship among the variables, with inflation exerting a highly significant negative effect on Gross Domestic Product per capita while total insurance penetration indicates a statistically insignificant direct long-run impact. In the short run, total insurance penetration exerts a robust and statistically significant negative effect on Gross Domestic Product per capita, validating the presence of a 'savings-substitution' effect and domestic capital leakage channel identified in earlier literature. The Pairwise Granger causality analysis yields a strong backing for the demand-following hypothesis at 5% significance level, and a weak evidence of a supply-leading effect at 10% level meaning the insurance market acts primarily as a passive responder to macroeconomic expansion rather than a primary growth locomotive. Policy recommendations stress the need for regulatory reforms to boost domestic insurance premiums reinvestment, stimulate structural product innovation, and deepen financial inclusion to unlock growth-insurance complementarities.
In small and emerging markets like Botswana, what drives the financial resilience of non-life insurers? This study takes a closer look at this question, evaluating audited financial statement data from 14 Non-Bank Financial Institutions Regulatory Authority (NBFIRA) licensed insurers across the year 2010–2022 period. The resulting unbalanced panel dataset of 127 firm-year observations in total is used to test ten potential determinants: profitability, underwriting risk, reinsurance dependence, firm size, leverage, liquidity, asset tangibility, premium growth, firm age, and ownership structure. Following diagnostic testing via the F-test, Breusch-Pagan LM test, and Hausman specification test, the Fixed Effects (FE) model was retained as the preferred estimator. As findings, underwriting risk, rather than weakening solvency, showed the strongest positive association with capital adequacy. The most credible explanation for this is regulatory, companies with heavier claims exposure appear to respond to supervisory pressure by holding more capital, not less. Reinsurance dependence, firm size, liquidity, and asset tangibility were also positively significant, highlighting the importance of risk-transfer mechanisms and effective liquidity management. On the other hand, profitability, leverage, growth, and firm age fell short of significance reflecting the structural constraints of a concentrated, domestically oriented market rather than any theoretical irrelevance of these factors. Risk management practices and firm-specific structural characteristics positively influence solvency adequacy among Botswana's non-life insurers instead of profitability or growth considerations. This research adds to the already existing limited empirical evidence of drivers of solvency margins in Botswana and the Sub-Saharan Africa providing useful insights for insurers, regulators, and policymakers seeking to strengthen risk-based supervision and promote the long-term stability of the insurance sector in Botswana.
This paper analyses the impact of economic globalisation on income inequality in Botswana, emphasising both direct and indirect transmission mechanisms. The study utilises annual time-series data from 1990 to 2023, employing the Autoregressive Distributed Lag (ARDL) model and the Toda–Yamamoto Distributed Lag (TYDL) Granger causality method to examine the interrelations among economic globalisation, trade openness, inflation, economic growth, and income inequality. The results indicate a consistent long-term link among the variables, wherein economic globalisation diminishes income disparity, whilst broader globalisation and trade openness likely to intensify it. The causation findings indicate that both economic globalisation and globalisation directly impact income disparity, while globalisation also indirectly influences inequality via inflation. Real GDP per capita indirectly affects inequality via globalisation, while exports directly contribute to inequality. The study indicates that while economic globalisation fosters economic growth and integration, its advantages are inequitably allocated. It advocates for inclusive economic globalisation policies, targeted fiscal redistribution, financial inclusion, and export diversification to guarantee equitable and sustainable growth in Botswana.
This study examines the corporate governance frameworks of family-owned enterprises in Botswana. Family enterprises constitute a fundamental component of the nation's private sector, accounting for over 70% of GDP and providing employment for approximately 60% of the labour force. Notwithstanding their economic significance, these firms encounter ongoing issues in governance, especially concerning leadership succession, board composition, and professionalisation. This study utilises agency theory, stewardship theory, and the resource-based view, employing a mixed-methods strategy that includes the distribution of 150 structured questionnaires across several sectors such as retail, agriculture, hospitality, and professional services. The results indicate that companies with formal governance frameworks, including independent professional boards, written succession plans, and family protocols, consistently excel in strategic decision-making, transparency, and long-term sustainability compared to their competitors. Nonetheless, obstacles to implementation persist, since numerous enterprises are impeded by cultural opposition to non-family leadership, insufficient understanding of governance mechanisms, and a tendency towards informal decision-making. The article finishes by providing pragmatic ideas for policymakers, entrepreneurs, and development agencies to enhance resilience and competitiveness in this crucial industry.
Business Model Innovation (BMI) has been widely recognised by management scholars as a significant approach to analyse complex organisational issues and address challenges in volatile business contexts. Small and Medium Enterprises (SMEs) operating in highly turbulent business environments struggle to be viable. Hence, the need to adopt appropriate business models to ensure resilient and viability. This study sought to examine the influence of BMIs on the ability of SMEs in developing nations to withstand and recover from challenges posed by unstable business environments. This study uses a quantitative approach, with a cross-sectional survey to collect empirical evidence from 327 SMEs selected through quota sampling. Using Structural Equation Modeling (SEM) method, results of the study reveal that BMI has a positive impact on the resilience of SMEs. The findings demonstrated that implementing innovative modifications in the business model, namely value creation, value capture, and value proposition positively influence the resilience of SMEs. The study concludes that implementing innovative business models contributes to the development of resilience among SMEs in emerging economies. This paper is relevant to SMEs operating in developing economies as well as those in volatile business environments.
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 |