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: 12 / 12 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 — 22 Oct 2026 03:22 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.
10 / 12 with data · 2 missing or unmatched. Percentages use all 12 selected publications.
10 / 12 with data · 2 missing or unmatched. Percentages use all 12 selected publications.
12 / 12 with data · 0 missing or unmatched. Percentages use all 12 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 | 12 | 12 | 12/12 | 12/12 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 32 | 12 | 12/12 | 12/12 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 51 | 12 | 12/12 | 12/12 |
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 12 / 12 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): 2026-10-21T07:22:43.933799+00:00 — 2026-10-22T03:22:39.231668+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 | 12 | 12/12 |
| 2018 | All selected publications | 0 | 12 | 12/12 |
| 2019 | All selected publications | 0 | 12 | 12/12 |
| 2020 | All selected publications | 0 | 12 | 12/12 |
| 2021 | All selected publications | 0 | 12 | 12/12 |
| 2022 | All selected publications | 6 | 12 | 12/12 |
| 2023 | All selected publications | 13 | 12 | 12/12 |
| 2024 | All selected publications | 12 | 12 | 12/12 |
| 2025 | All selected publications | 15 | 12 | 12/12 |
| 2026 | All selected publications | 5 | 12 | 12/12 |
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 | 12 |
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 | 2 | 5 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 11 | 30 | 46 | 11/11 | 2.73 | 1 | 63.6 | 11/11 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this study was to explore the antecedents of entrepreneurial intentions among the Tanzanian Higher Business Education Graduates (HBE). The motivation for the study was because, despite the integration of entrepreneurship education (EE) in every degree programme, still many graduates had been unemployed. This cross-sectional study is based on primary data. An in-depth interview was conducted with a sample of 21 HBE graduates from various HBE institutions. Primary data collection was done using in-depth interview guide questions physically done by the researcher. Snowball and purposive sampling approaches were employed to identify respondents for this study. Content analysis method with the aid of NVivo version 11 software package was used to analyse the qualitative data. The study identifies five important antecedents of entrepreneurial intentions, namely, interpersonal traits, EE through competency-based training, planning and focus, successful groups which are close to a prospective entrepreneur, and government support. The findings task entrepreneurship educators, role models, close groups, professional supporters, and the government to concurrently foster the combinations of EE and other factors which were revealed to have the highest predictive power on entrepreneurial intention in the process of nurturing and psychologically developing the students’ entrepreneurial careers of self-reliance and self-employment. This research is novel and contributes to the body of knowledge in the existing antecedents of entrepreneurial intentions: given the emphasis on residual and new antecedents of entrepreneurial intentions essential for promoting the start-ups by the HBE graduates and enabling them to employ themselves.
Entrepreneurs play pivotal roles that affect the economy. These roles are job creation, wealth generation, economic growth, and innovation. According to WorldBank data, they account for around 90% of enterprises and more than half of all jobs in the globe. In emerging economies, formal SMEs account for up to 40% of national income (GDP). The prolonged effects of the COVID-19 pandemic which resulted in job losses have encouraged even the Filipino Generation Z to engage in entrepreneurial activities. This supports various studies conducted by research firms recently that 54% of Generation Z wanted to start their own business venture. Thus, this research aims to determine the influence of entrepreneurial attitude, social valuation, entrepreneurial skills, and entrepreneurial knowledge on entrepreneurial intention. There were 110 Generation Z respondents who answered the adopted survey questionnaire. The researchers were able to secure permission from the original author to use the research instrument. The research utilized a quantitative research design primarily descriptive-correlational. The data were processed using regression analysis to test the relationship of variables. The regression results preceded the acceptance of the 4 hypotheses which means that entrepreneurial attitude, social valuation, entrepreneurial skills, and entrepreneurial knowledge significantly influence entrepreneurial intention. The results will be considerably useful to academics to promote entrepreneurship from high school to college level, to future entrepreneurs in identifying the factors that influence entrepreneurial intention, to the government and its regulators for policy development, and to researchers who plan to expand the literature on the entrepreneurial mind.
This paper aims to develop a critical approach to the conceptualization of start-ups in emerging markets from a Kenyan perspective. This study used a theoretical route to conceptualize start-ups in emerging markets like Kenya. From the findings, it is important to note that the conceptualization of start-up is based on western concepts and might be flawed and poorly applicable to businesses in Kenya. Hence in the Kenyan context, a start-up should be viewed as an innovative business entity, which is scalable and has survived up to 3-5 years. To support the growth of the start-up ecosystem in Kenya, policymakers should promote start-ups through the formation of relevant legislation and provide incentives that stimulate their survival and growth. The study has brought out some interesting findings which can generate more debate. The study used an exploratory research design which is not conclusive in nature therefore future research should consider using a research design that is conclusive in nature and robust.
An entrepreneurship ecosystem entails a community of practice that displays the characteristics of creativity and innovation, risk-taking, a strategist, and an active participant in identifying opportunities and making decisions among others in the organization. The ecosystem can be key when Higher Education Institutions are engaged in the transformation process of commercialization. The paper intends to explore whether an entrepreneurship ecosystem can stimulate the commercialization of the research process in a sustainable way. The qualitative thematic review methodology is employed to achieve this aim. The commercialization process is viewed in an entrepreneurship ecosystem by looking at the entrepreneurial institutions, stakeholders involved, and the sustainable business model. It is recommended that adopting an entrepreneurial ecosystem for commercialization of research in Higher Education Institutions can play a crucial role in building their structures to be economically active; addressing graduate unemployment; providing recovery strategies to reboot businesses in communities, especially after the COVID-19 pandemic; and position themselves as entrepreneurial institutions.
This study aimed to explore the challenges faced by female entrepreneurs operating in the learner transport industry in South Africa, specifically in the Gauteng province. The study adopted a qualitative research approach by making use of semi-structured interviews with 15 female entrepreneurs operating in the learner transport industry in the Gauteng province. A non-probability sampling approach was adopted by means of convenience sampling. Data was analysed through thematic content analysis, using Atlas.ti. Findings from the study indicated that female entrepreneurs in the learner transport industry face several challenges such as high operational costs, a male-dominated industry, being disrespected or undermined by customers, a lack of trust and commitment, being belittled, as well as a lack of opportunity awareness. Participants also indicated a need for government intervention in the industry due to prevailing working conditions. The findings of the study contribute both to the industry, as well as the existing body of knowledge. The findings from the study will assist the national government to collaborate with regional governmental transport agencies, as well as with regional industry associations in an effort to improve the working environment for female entrepreneurs, as well as grow the learner transport industry in a more structured and regulated manner. The industry, despite being regulated by regional transport associations, is currently unstructured.
Entrepreneurship is an innovative and creative process that can add value to products, create job opportunities, raise productivity, revitalize, and diversify markets, improve social welfare, and, more broadly, develop the economy. Entrepreneurship education encourages the founding of new businesses by students and alums and equips them with critical decision-making skills that enhance the success of graduates in the job market. That is why we seek to develop better entrepreneurs. Part of that is raising their intentions to start a business; another is making their intentions more realistic. To do both requires a deeper, richer understanding, and analysis of an entrepreneurial implementation intention in vocational education students is essential. In this study, researchers want to know what variables affect Entrepreneurial Implementation Intention in vocational education students at Universitas Padjadjaran. The results of this study found that Entrepreneurial Knowledge affects the main determinant of this research to encourage the increase of Entrepreneurial Implementation Intention.
An entrepreneurship ecosystem entails a community of practice that displays the characteristics of creativity and innovation, risk-taking, a strategist, and an active participant in identifying opportunities and making decisions among others in the organization. The ecosystem can be key when Higher Education Institutions are engaged in the transformation process of commercialization. The paper intends to explore whether an entrepreneurship ecosystem can stimulate the commercialization of the research process in a sustainable way. The qualitative thematic review methodology is employed to achieve this aim. The commercialization process is viewed in an entrepreneurship ecosystem by looking at the entrepreneurial institutions, stakeholders involved, and the sustainable business model. It is recommended that adopting an entrepreneurial ecosystem for commercialization of research in Higher Education Institutions can play a crucial role in building their structures to be economically active; addressing graduate unemployment; providing recovery strategies to reboot businesses in communities, especially after the COVID-19 pandemic; and position themselves as entrepreneurial institutions.
This study explored the antecedents of corporate entrepreneurship behaviors among Small and Medium-Sized Enterprises (SMEs) and employees’ competencies. The area of the study was Sekondi-Takoradi Metropolis, Ghana. The study was a cross-sectional survey design with a concurrent triangulation mixed methods approach. The study's sample size was 440 subjects, made up of 400 employees and 40 owners/managers of SMEs in the Metropolis. The employees and owners/managers were selected using random and purposive sampling techniques. The quantitative data were analyzed using mean and standard deviation, while the qualitative data were analyzed manually using a thematic approach. The study revealed that both employees and owners/managers of SMEs in the Metropolis perceived the operational attributes, processes, or conditions within the firms and the external business environment that affects the firms and the staff in favorable terms. Also, employees of the various SMEs are given a meaningful opportunity to acquire, develop and nurture higher-level characteristics encompassing personality traits, skills, and knowledge, which can be seen as the real ability of the entrepreneur to perform a job successfully. It was recommended that owners/managers of the firms ensure an attractive and conducive climate for intrapreneurial behavior within their firms by encouraging their employees to believe in their abilities and always try something new. Employees could also be encouraged to be confident in their ability to handle and solve problems creatively. This behavior will go a long way to help the firms grow and become competitive.
Over the years, governments in Ghana have provided various stimulus packages for local entrepreneurs to rejuvenate and expand their businesses while setting up new companies. The question is, how talented are the youth in entrepreneurship? This paper sought to review the extant literature on the impact of skill acquisition on entrepreneurship development and progress in Ghana. The Systematic Literature Review (SLR) approach was used to search for relevant journal articles from Scopus, Emerald Insight, and Google Scholar search engines. The search criteria were limited to journal articles with the keywords “skill acquisition”, “entrepreneurship,” and entrepreneurship development” from 1970 to 2020. Using the SLR technique, a total of 45 articles were identified, and 21 were relevant to the research focus. The review identified that skill acquisition significantly influences entrepreneurship development. It is recommended that entrepreneurship skill acquisition should be integrated in the Ghanaian education system right from the elementary level. Again, tertiary institutions in Ghana should have entrepreneurial centers for practical sessions.
Kenya’s Startup ecosystem has experienced tremendous growth over the last ten years. Further, Kenya’s startups have also been among the top-funded in the continent during the same period – attracting financing of between USD 300 million – over USD 3 billion. However, there is currently a lack of granular data guiding policies on the startup ecosystem in Kenya. Hence this Paper traces startup successes and pitfalls of the Ten years (2010-2020) Period in Kenya. The study utilized cross-sectional and longitudinal research designs. The target population was start-ups registered in the 47 Counties in Kenya. A total of 104 startups participated in the study. A mix of sampling techniques was used, namely cluster-stage, systematic, purposive, and snow-balling sampling techniques, to select the respondents for the study. Data were analyzed using Content analysis descriptive statistics were used for data analysis. The findings indicated that startup innovation hubs emerged in Nairobi in 2010 but offer time, which spurred the mushrooming of startups, seats, and co-working spaces with decentralization to significant towns in the country. The Kenyan startup ecosystem has experienced tremendous growth for the last two decades, growing from 10% in the 2000-2010 to 80% in 2010-2020. However, access to financing remains the biggest challenge for startups because of the risk associated with it, especially for early-stage startups. To strengthen the growth of the startup ecosystem, the government, through the statement of Kenya National Innovation Agency, should ensure the development of policies tailored towards startups. The national government should provide matching funds and establish an Inter-county collaboration framework to ensure skills transfer within and among the counties.
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 |