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: 14 / 14 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 — 25 Oct 2026 07:21 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.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 9 | 8 | 8/8 | 8/8 |
| 2024 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 12 | 8 | 8/8 | 8/8 |
| 2024 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 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 14 / 14 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): 2026-10-21T07:22:46.047478+00:00 — 2026-10-25T07:21:14.520041+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 | 14 | 14/14 |
| 2018 | All selected publications | 0 | 14 | 14/14 |
| 2019 | All selected publications | 0 | 14 | 14/14 |
| 2020 | All selected publications | 0 | 14 | 14/14 |
| 2021 | All selected publications | 1 | 14 | 14/14 |
| 2022 | All selected publications | 0 | 14 | 14/14 |
| 2023 | All selected publications | 4 | 14 | 14/14 |
| 2024 | All selected publications | 9 | 14 | 14/14 |
| 2025 | All selected publications | 7 | 14 | 14/14 |
| 2026 | All selected publications | 5 | 14 | 14/14 |
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 |
|---|---|
| 2019 | 1 |
| 2022 | 2 |
| 2023 | 8 |
| 2024 | 2 |
| 2026 | 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 | 1 | 7 | 5 | 1/1 | 7.0 | 7 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 0 | 1 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 12 | 16 | 20 | 12/12 | 1.33 | 1.0 | 75.0 | 12/12 · 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.
The unprecedented rate of urbanization across the world has led to increased demand for good, affordable housing. This research was conducted to ascertain the reasons and challenges of urbanization on housing shortages in Gaborone, Botswana. The focal point of this study was to assess the impact of urbanization on the demand of housing in Gaborone, Botswana. Thereafter the study recommended astute strategies desirable to curb the problem of urbanization and scarcity of accommodation in Gaborone. This research used a descriptive research design and distributed questionnaires to Gaborone residents during data collection. The researchers used stratified and clustered sampling methods. The study results indicated the need for better educational facilities and employment opportunities as the major causes of urbanization in Gaborone. Shortage of housing, high rentals and escalating land prices were also identified as some of the major challenges of urbanization in Gaborone. The study recommended that the government to introduce rent control measures to restrict rising prices, the private sector should be encouraged to further participate in the provision of accommodation for different income groups to be sold or leased at subsidized rates. The study also recommended the government to buy plenty of land and real estate, to reduce speculative behaviour of land barons.
This study examines the short-run and long-run relationships between exports and economic growth in the Sothern Africa Customs Union (SACU), as well as the corresponding threshold level. The study used panel data covering the period 1980 to 2021 and employed the Autoregressive Distributed Lag (ARDL) Bounds to test for co-integration relationships, and the Generalized Least Squares (GLS) to determine the respective threshold level. Exports positively support economic growth both in the short-run and in the long-run in SACU. There is long-run bidirectional causality between exports and economic growth. The minimum threshold for exports is 59%. That is, exports only start contributing significantly to economic growth when they are above 59% of the Gross Domestic Product (GDP). SACU should put in place economic policies and regulations that are skewed towards the improvement of the competitiveness of its local products on the global market and also strategically consider export-oriented industrialization strategies. Efforts should also be channeled towards the implementation of bilateral and multilateral trade agreements and harnessing the synergic benefits through the adoption of deliberate value chain mechanisms and initiatives.
During the initial years of the 1990s, there was an expectation that the practice of working from home (WFH) would become a customary mode of work, offering advantages to organizations in terms of job performance and employee contentment. The concept of working from home (WFH) has gained significant traction in response to the COVID-19 pandemic, primarily because to its potential to ensure the continuity of organizations under certain circumstances. The primary objective of this study is to examine the effects of remote work arrangements implemented during the COVID-19 pandemic on the various dimensions of employee well-being in Botswana. Specifically, the case of the Botswana Unified Revenue Service (BURS) will be utilized as a focal point for analysis. The study utilized a descriptive qualitative research approach, including in-depth interviews to collect data from a sample of 18 employees of BURS who were engaged in remote work during the COVID-19 lockdown. The researchers employed a non-probability sampling technique and conducted a theme analysis to analyze the data. The findings of the research suggest that working from home (WFH) offers several advantages, including the ability to sleep for extended periods and enhanced concentration. Additionally, the flexibility and autonomy provided by working from home allow individuals to avoid distractions commonly encountered in open-office environments. However, the study also highlights certain challenges associated with WFH, such as disruptions caused by family members and feelings of isolation. The study suggests the need for further research to be conducted on the effects of remote employment in Botswana. This research would provide valuable insights for policymakers in navigating the challenges posed by the Covid-19 pandemic and its aftermath.
Digital transformation destination is much easier when a clear vision is communicated up and down the organization. This study seeks to explore the effect of visioning on digital transformation in the insurance industry. The study used a positivist research philosophy and a quantitative research approach. The research used primary data, which was collected using a questionnaire. Data analysis was done using regression analysis, descriptive statistics and paired sample t-tests. Normality and reliability were tested using the Shapiro-Wilk test and Cronbach’s alpha, respectively. The study findings revealed that visioning significantly influences digital transformation (t=1.129, p=0.000<0.05). Visioning is the art of modeling an organization's culture and is the critical variable towards digital transformation. The study recommends the regulator, the Insurance and Pension Commission, might need to enforce digital transformation within the insurance space. Visioning is critical in the insurance sector’s digital transformation process.
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.
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.
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 investigates the effectiveness of Presidential Directives in comparison to the traditional policy process in Botswana. More precisely, the study determines whether the use of Presidential Directives is a more efficient and effective means of achieving policy outputs, as compared to the traditional policy process. To achieve this, the study conducted a comprehensive analysis of policies and Presidential Directives in Botswana, examining the processes through which they were formulated, implemented, and evaluated. The methodological approach adopted includes an intrepretivist research paradigm as well as a qualitative research approach for both data collection and analysis. Results reveals that Presidential directives achieve outputs faster and more effectively than the traditional policy process, Presidential Directives may have some advantages in terms of speed and flexibility, but they are not necessarily more effective than the traditional policy process in achieving their planned outcomes, policy process, which involves stakeholder consultation, evidence-based decision-making and comprehensive analysis of the policy context, is a more reliable and effective means of policy-making in the long term. However, the study also found that there are some areas where Presidential Directives may be more appropriate, such as in emergency situations or when quick decisions are required. Overall, this research provides valuable insights into the effectiveness of different approaches to policy-making in Botswana, and its findings have important implications for policymakers, practitioners, and researchers in the field of public policy. The study recommends transparency and accountability; stakeholder engagement; evidence-based policy-making and comprehensive policy evaluation.
This study examines the short-run and long-run relationships between exports and economic growth in the Sothern Africa Customs Union (SACU), as well as the corresponding threshold level. The study used panel data covering the period 1980 to 2021 and employed the Autoregressive Distributed Lag (ARDL) Bounds to test for co-integration relationships, and the Generalized Least Squares (GLS) to determine the respective threshold level. Exports positively support economic growth both in the short-run and in the long-run in SACU. There is long-run bidirectional causality between exports and economic growth. The minimum threshold for exports is 59%. That is, exports only start contributing significantly to economic growth when they are above 59% of the Gross Domestic Product (GDP). SACU should put in place economic policies and regulations that are skewed towards the improvement of the competitiveness of its local products on the global market and also strategically consider export-oriented industrialization strategies. Efforts should also be channeled towards the implementation of bilateral and multilateral trade agreements and harnessing the synergic benefits through the adoption of deliberate value chain mechanisms and initiatives.
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 |