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.
ISSN 2687-2293 • Journal website ↗
Top 5 in the selected collection · Ranked by OpenAlex lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2019 · Bruce Gashema · Juniter Kwamboka Mokua
2025 · Vhutshilo Nekhubvi · Orifha Sinthumule · Innocent Zitha
2021 · Kiros Tsegay · Hongzhong Fan · Hailay Shifare
2019 · William Suley Menges · Kevin Getii Moranga
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, 00:14 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: 22 Oct 2026 01:14 UTC — 24 Oct 2026 07:05 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 4 | 2 | 2/2 | 2/2 |
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): 2026-10-22T01:14:00.029076+00:00 — 2026-10-24T07:05:19.512122+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 | 1 | 6 | 6/6 |
| 2022 | All selected publications | 2 | 6 | 6/6 |
| 2023 | All selected publications | 2 | 6 | 6/6 |
| 2024 | All selected publications | 2 | 6 | 6/6 |
| 2025 | All selected publications | 2 | 6 | 6/6 |
| 2026 | All selected publications | 5 | 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 |
|---|---|
| 2019 | 2 |
| 2021 | 1 |
| 2024 | 1 |
| 2025 | 2 |
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 | 6 | 12 | 14 | 6/6 | 2.0 | 1.5 | 50.0 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
This study examines the effect of credit access on both agricultural and off-farm activities based on a household survey of 371 rural farmer respondents in Ethiopia.it was analyzed using a logistic regression model and statistical description. Findings demonstrated that the demographic factors; gender, age, level of education, and family size have a positive and significant effect on credit access. Agricultural credit access is impacted by each of the demographic variables as independent variables. On the other hand, the result indicated that the relationship between credit access and non-farm economic activities has a negative relationship. Credit access has a significant effect on agricultural intensification and specialization rather than diversification. Therefore, a comprehensive policy and strategy needs for credit access in both the agricultural and non-agricultural sectors. The Ethiopian government should follow the integration policy between both sectors and participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
Increasing access to quality education in South Africa has led to a rise in enrollment by students from diverse backgrounds at higher education institutions. However, first-entering students transition from secondary school to higher education, and it is hypothesized that this will affect students psychologically, socially, and financially. Financially, many higher education students in South Africa rely on the National Student Financial Aid Scheme (NSFAS). This study investigates the relationship between students’ socioeconomic backgrounds and academic success at a South African university. A mixed-methods approach surveyed 74 first-year students in the Extended Curriculum Programme at the University of Venda, South Africa. Findings from regression and correlation analyses indicate that poor and low socio-economic backgrounds among Extended Curriculum Programme students significantly affect their academic performance and success. These findings challenge the notion that disadvantaged backgrounds necessarily hinder student achievement and emphasize the importance of creating an environment that supports students from all socio-economic backgrounds. Eight policy recommendations and strategies are provided to enhance student success and support for diverse socio-economic backgrounds in higher education institutions.
Despite the theoretical foundation that links Transformational leadership (TFL) with innovation behavior, previous studies have overlooked on Transformational leadership and innovation behavior at the individual level relationship but paid less attention to how transformational leadership qualities of top leaders would advance innovative work behavior within the organizational setting. To date, the impact of Transformational leadership at a top executive level on employee’s innovative work behavior (IWB) within an organizational setting has not been dealt with in-depth. However, using transformational leadership theory, this study uncovers the pivotal role of innovation culture (IC) and managerial innovation (MI) in the relationship between CEO transformational leadership and employee’s innovation behavior in SMEs. A cross-sectional design with a total of 434 employees from 24 SMEs operating from Rwanda was analyzed using structural equation modeling to evaluate the relationship between the variables developed in the study. The findings of this study support our hypothesized model.
The study sought to investigate the factors influencing environmental reporting in developing countries. This has been necessited by the inconsistances and non compliant to regulations and laws of environmental reporting among the developing countries. Through examining the factors that influence environmental reporting the study hope to establish context based solutions to the challenge of environmental reporting. The study used a quantitative research method and factor analysis to establish the factors influencing environmental reporting. It was discovered that there are seven key factors influencing environmental reporting among Southern African Development Community (SADC) countries. These factors are: regulatory drivers, risk management drivers, market drivers, management influence drivers, strategic communication drivers, value creation drivers and legitimacy drivers. The study also revealed that there are several sub-factors that influencing environmental reporting under each key factor identified. The study concluded that environmental reporting influenced by the seven key factors. The study recommends that SADC sought for in-depth understanding of factors influencing environmental reporting. This is because understanding of the factors affecting environmental reporting is essential for the formulation and reporting that that satisfies stakeholders' requirements.
South Africa is one of the most popular tourist destinations on the African continent, with timeshares—vacation properties shared by multiple owners—being an important feature of the tourism industry as it contributes significant growth and sustainability of tourist destinations. After its introduction in the 1960s, timeshare gained popularity through its capability to provide luxury holiday affordability and security in South Africa. Since then, timeshare businesses have used traditional public relations, marketing, advertising strategies and tactics to increase brand awareness and reach sales targets. During the difficult COVID-19 period, global tourism declined drastically due to travel restrictions, extreme lockdowns and tight regulations, forcing businesses to adapt their marketing strategies to cope with unprecedented challenges and the loss of customers. Before the pandemic’s culmination, travel agencies and timeshares thus utilized digital marketing and social media to effectively strategise and publicly engage with their audiences online. Drawing upon McGuire’s (1969) theory of information processing, and Echtner and Ritchie’s (1993) destination image branding, a content and thematic analysis of two South African timeshare companies and their Facebook page content was studied to investigate the public relations tactics and marketing strategies implemented during the COVID-19 pandemic. Key findings reveal that timeshares engaged publicly with customers through posts which stimulated online participation, which included the sharing of images, information, updates, competitions and discounts, thus maximising the potential of social media to engage with stakeholders on a short to long term basis.
The study sought to investigate the factors influencing environmental reporting in developing countries. This has been necessited by the inconsistances and non compliant to regulations and laws of environmental reporting among the developing countries. Through examining the factors that influence environmental reporting the study hope to establish context based solutions to the challenge of environmental reporting. The study used a quantitative research method and factor analysis to establish the factors influencing environmental reporting. It was discovered that there are seven key factors influencing environmental reporting among Southern African Development Community (SADC) countries. These factors are: regulatory drivers, risk management drivers, market drivers, management influence drivers, strategic communication drivers, value creation drivers and legitimacy drivers. The study also revealed that there are several sub-factors that influencing environmental reporting under each key factor identified. The study concluded that environmental reporting influenced by the seven key factors. The study recommends that SADC sought for in-depth understanding of factors influencing environmental reporting. This is because understanding of the factors affecting environmental reporting is essential for the formulation and reporting that that satisfies stakeholders' requirements.
Increasing access to quality education in South Africa has led to a rise in enrollment by students from diverse backgrounds at higher education institutions. However, first-entering students transition from secondary school to higher education, and it is hypothesized that this will affect students psychologically, socially, and financially. Financially, many higher education students in South Africa rely on the National Student Financial Aid Scheme (NSFAS). This study investigates the relationship between students’ socioeconomic backgrounds and academic success at a South African university. A mixed-methods approach surveyed 74 first-year students in the Extended Curriculum Programme at the University of Venda, South Africa. Findings from regression and correlation analyses indicate that poor and low socio-economic backgrounds among Extended Curriculum Programme students significantly affect their academic performance and success. These findings challenge the notion that disadvantaged backgrounds necessarily hinder student achievement and emphasize the importance of creating an environment that supports students from all socio-economic backgrounds. Eight policy recommendations and strategies are provided to enhance student success and support for diverse socio-economic backgrounds in higher education institutions.
South Africa is one of the most popular tourist destinations on the African continent, with timeshares—vacation properties shared by multiple owners—being an important feature of the tourism industry as it contributes significant growth and sustainability of tourist destinations. After its introduction in the 1960s, timeshare gained popularity through its capability to provide luxury holiday affordability and security in South Africa. Since then, timeshare businesses have used traditional public relations, marketing, advertising strategies and tactics to increase brand awareness and reach sales targets. During the difficult COVID-19 period, global tourism declined drastically due to travel restrictions, extreme lockdowns and tight regulations, forcing businesses to adapt their marketing strategies to cope with unprecedented challenges and the loss of customers. Before the pandemic’s culmination, travel agencies and timeshares thus utilized digital marketing and social media to effectively strategise and publicly engage with their audiences online. Drawing upon McGuire’s (1969) theory of information processing, and Echtner and Ritchie’s (1993) destination image branding, a content and thematic analysis of two South African timeshare companies and their Facebook page content was studied to investigate the public relations tactics and marketing strategies implemented during the COVID-19 pandemic. Key findings reveal that timeshares engaged publicly with customers through posts which stimulated online participation, which included the sharing of images, information, updates, competitions and discounts, thus maximising the potential of social media to engage with stakeholders on a short to long term basis.
This study examines the effect of credit access on both agricultural and off-farm activities based on a household survey of 371 rural farmer respondents in Ethiopia.it was analyzed using a logistic regression model and statistical description. Findings demonstrated that the demographic factors; gender, age, level of education, and family size have a positive and significant effect on credit access. Agricultural credit access is impacted by each of the demographic variables as independent variables. On the other hand, the result indicated that the relationship between credit access and non-farm economic activities has a negative relationship. Credit access has a significant effect on agricultural intensification and specialization rather than diversification. Therefore, a comprehensive policy and strategy needs for credit access in both the agricultural and non-agricultural sectors. The Ethiopian government should follow the integration policy between both sectors and participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
The purpose of this study was to assess the effect of indirect investment on the performance of real estate in Nairobi County Kenya. The independent variables for indirect investment were: investment trusts, exchange-traded funds, commingled funds, and infrastructure funds. The dependent variable was the performance of real estate in Nairobi County Kenya. Secondary data was collected from the real estate’s online sources and some from the company offices and analyzed using multiple regression analysis. Both descriptive statistics and inferential statistics were determined. The study was only able to collect secondary data from 45 real estate companies out of the target population of 69 registered by KPDA in 2015 as it was hard to get data of the rest either from online sources or from the company offices. With the aid of STATA 12.0 software and Excel software, quantitative results were tabulated and presented in the form of charts, bar graphs, and narratives. The study found an existing relationship between the performance of the real estate sector and the Investment Trust Fund, the Exchange Trust Fund, the Commingled Fund, Infrastructure Fund. The study concludes that most of the coefficients were significant. The study also concludes that there is a relationship between the performance of the real estate sector and the Investment Trust Fund, Exchange Trust Fund, Commingled Fund, Infrastructure Fund when these components are considered together, they affect Performance.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |