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: 106 / 106 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 00:14 UTC — 22 Oct 2026 10:00 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.
101 / 106 with data · 5 missing or unmatched. Percentages use all 106 selected publications.
101 / 106 with data · 5 missing or unmatched. Percentages use all 106 selected publications.
106 / 106 with data · 0 missing or unmatched. Percentages use all 106 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2019 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2020 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 12 | 12 | 12/12 | 12/12 |
| 2023 | All selected publications | 19 | 19 | 19/19 | 19/19 |
| 2024 | All selected publications | 16 | 16 | 16/16 | 16/16 |
| 2025 | All selected publications | 16 | 16 | 16/16 | 16/16 |
| 2026 | All selected publications | 25 | 25 | 25/25 | 25/25 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 5 | 4 | 4/4 | 4/4 |
| 2019 | All selected publications | 27 | 4 | 4/4 | 4/4 |
| 2020 | All selected publications | 11 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 3 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 32 | 12 | 12/12 | 12/12 |
| 2023 | All selected publications | 50 | 19 | 19/19 | 19/19 |
| 2024 | All selected publications | 21 | 16 | 16/16 | 16/16 |
| 2025 | All selected publications | 8 | 16 | 16/16 | 16/16 |
| 2026 | All selected publications | 3 | 25 | 25/25 | 25/25 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 20 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 12 | 4 | 4/4 | 4/4 |
| 2019 | All selected publications | 42 | 4 | 4/4 | 4/4 |
| 2020 | All selected publications | 18 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 8 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 51 | 12 | 12/12 | 12/12 |
| 2023 | All selected publications | 60 | 19 | 19/19 | 19/19 |
| 2024 | All selected publications | 27 | 16 | 16/16 | 16/16 |
| 2025 | All selected publications | 9 | 16 | 16/16 | 16/16 |
| 2026 | All selected publications | 3 | 25 | 25/25 | 25/25 |
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 106 / 106 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): 2026-10-21T00:14:32.180035+00:00 — 2026-10-22T10:00:06.254431+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 | 106 | 106/106 |
| 2018 | All selected publications | 2 | 106 | 106/106 |
| 2019 | All selected publications | 8 | 106 | 106/106 |
| 2020 | All selected publications | 7 | 106 | 106/106 |
| 2021 | All selected publications | 7 | 106 | 106/106 |
| 2022 | All selected publications | 18 | 106 | 106/106 |
| 2023 | All selected publications | 33 | 106 | 106/106 |
| 2024 | All selected publications | 54 | 106 | 106/106 |
| 2025 | All selected publications | 71 | 106 | 106/106 |
| 2026 | All selected publications | 48 | 106 | 106/106 |
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 |
|---|---|
| 2013 | 1 |
| 2018 | 4 |
| 2019 | 4 |
| 2020 | 5 |
| 2021 | 4 |
| 2022 | 12 |
| 2023 | 19 |
| 2024 | 16 |
| 2025 | 16 |
| 2026 | 25 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 30 | 21 | 28 | 30/30 | 0.7 | 0.0 | 30.0 | 30/30 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 74 | 147 | 222 | 74/74 | 1.99 | 1.0 | 59.5 | 74/74 · 100.0% |
* Percentage among publications with a known citation count.
Social entrepreneurship is a potential alternative to address social problems but social business still needs to be strengthened to provide far-reaching impact. One strategy to flourish is benchmarking against successful social enterpreneurs because previous studies show that entrepreneur’s competence is a determinant of small-medium business performance and growth. Social entrepreneur competencies which drive social business success and how these competencies are developed, unfortunately have not clear yet. This study aims to build a competency model for social entrepreneurs and to find out pattern (in method, period, sources) for developing competencies by studying successful Indonesian social entrepreneurs. The reports on social entrepreneur competency model presented in this paper. This research adopt qualitative approach using multiple case study design. Data collected by indepth interviewing 29 informants, studying documents and conducting field observation in eight cities. Results show that successful social entrepreneurs have shared competencies which indicate existence of social entrepreneur competency model. The result of this study complements empirical studies in social entrepreneurs’ competencies by showing competencies that drive success of social business i.e: Achievement orientation, Persistence, Initiative, Courage to take opportunities, Networking, Influencing others, Team leadership, Developing others, Teamwork-Colaboration, Orientation to help and serve others, Mission orientation, Affiliate interest, Creative problem solving. The finding has direct implication on social entrepreneur education and development programs included method, materials, design and sources of development because the competencies determine the success constitute mostly of attitudes, motives and traits instead of knowledge and skills.
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.
Worldwide, unemployment is a challenging aspect that faces most of the graduate students. Based on that, students in colleges and universities currently, are clearly aware that they have to engage in self-employment through entrepreneurship. Moreover, the establishment of innovation hubs during collaging has propounded to help upbringings different entrepreneurial and creativity treats among students. Apart from performing incubation of the business ideas, the innovation hubs could be a free innovative centre where students, stakeholders, lecturers, and alumnae meet, work, and collaborate on the range of innovative augmented ideas to stimulate entrepreneur intention. Colleges and universities do not have a proper plan to expose students to practical business environments while studying. Therefore, through mixed research design, this study entails to design and develop a participatory contextual model that will enhance the College of Business Education to establish a free space as the innovation hub for incubating talents, entrepreneurial ideas and research focused on solution-based for students and lecturers. A total of 132 respondents consisting of 20 instructors; 100 students and 12 entrepreneurial practitioners were involved in this study. Data was collected through questionnaires, in-depth interviews, Focus Group Discussions (FGD) and documentary review. The obtained data were analysed through descriptive statistics and thematic content analysis. Based on the findings, it is evident that establishing an incubation and innovation hub within the CBE community is necessary. The findings provide valuable insights into the participants' perceptions and highlight various aspects that should be considered during establishing and implementing the hub. Moreover, the findings stipulate that the incubation and innovation hub should incorporate the prototype environment that includes mindset change programmes, regular training, internship programmes, effective incubation practices, strong mentorship and coaching programmes, and a clear exit strategy that can enhance the entrepreneurial skills and capabilities of incubates
This research was conducted to explore the factors predicting the Entrepreneurial Intention among female entrepreneurs in the Balinese tourism industry. The theory of planned behaviour (TPB) framework was utilised as the mediating variables, while Exposure to Role Models, Psychological Characteristics, Entrepreneurship Education, and Access to Financial Capital are used as the exogenous variables. This study used a quantitative method by employing the Likert scale for the questionnaires with a total of 352 respondents and analysed using the Structural Equation Modelling (SEM). This study found that Psychological Characteristics and Entrepreneurship Education had an indirect influence on Entrepreneurial Intention through the mediating variables of Personal Attitude and Perceived Behavioural Control. Access to Financial Capital was also found to have an indirect influence on Entrepreneurial Intention with the Perceived Behavioural Control as the mediating variable
Women’s entrepreneurship is important for women’s position in society, and for economic development of a country. Many scholars pointed out that women faces diverse challenges in doing business in a patriarchal society like Bangladesh. Women are now involved in economic activities than in the past, women constitute around 10 percent of the country's total business entrepreneurs. The present study is an effort to find out the factors which act as pull and push factors to engage women in entrepreneurship development in Bangladesh. In this study mixed method approach has been chosen. To attain the objective of the research researchers relied solely on the secondary sources. The study revealed that Government agencies provide policy, legal and financial support with active support from non-State actors. On the contrary, they do not get proper support from all relevant institutions because of corruption and lack of information. It is suggested that combined initiatives of Government and non- government institutions will be successful in meeting the needs of business women in Bangladesh.
This study examines the role of the Economic Activation Office (EAO) in advancing entrepreneurship within a rural higher education institution in South Africa. The study is informed by Entrepreneurial University Theory, the Triple Helix Model, and the Resource-Based View (RBV), which are integrated to explain how institutional orientation, ecosystem collaboration, and resource mobilisation jointly shape entrepreneurship support. A qualitative exploratory design was adopted within an interpretivist paradigm. Semi-structured interviews were conducted with 14 purposively selected participants comprising EAO staff, university entrepreneurship practitioners, and student entrepreneurs. Thematic analysis identified four interconnected roles of the EAO: entrepreneurship awareness creation, capacity and skills development, stakeholder collaboration and ecosystem coordination, and institutional support and resource mobilisation. The findings show that the EAO operates not only as an administrative support office but also as a boundary-spanning mechanism that connects students and university resources with external entrepreneurial opportunities. However, limited funding, incubation infrastructure, long-term mentorship, and uneven cross-faculty participation constrain its ability to translate awareness and capability development into sustained entrepreneurial outcomes. The study contributes a rural EAO ecosystem perspective in which awareness and capability development are strengthened by institutional resources and external ecosystem relationships, while rural structural conditions moderate the effectiveness of these mechanisms. The study recommends dedicated institutional funding, cross-faculty integration, formalised ecosystem partnerships, structured incubation and post-training support, and targeted policy measures for rural universities.
Entrepreneurship Education (EE) is increasingly recognised as a key driver of economic growth, employment creation, and poverty reduction across African countries. It also contributes to the development of digital competencies that support entrepreneurial innovation, highlighting the importance of human capital development in an evolving business environment. Recent technological advancements have transformed business operations, with the integration of digital technologies into entrepreneurial activities reshaping traditional business models, processes, and strategies. Consequently, digital entrepreneurship has emerged as an important socioeconomic force, creating a growing need for education, training, and skills development to strengthen the digital capabilities required for entrepreneurial innovation. This study examines the influence of Entrepreneurship Education on the development of entrepreneurial innovation through a systematic literature review. Relevant studies published between 2016 and 2026 were retrieved from databases including Scopus and Google Scholar. Of the 230 articles identified, 17 met the inclusion criteria and were selected for review. The findings indicate that student support, access to appropriate technological infrastructure, students’ and teachers’ perceptions of technology’s usefulness, and the nature of the tasks undertaken are important factors shaping the integration of technology into contemporary entrepreneurial activities. These findings have implications for promoting entrepreneurial innovation through human capital development in South Africa. The study therefore seeks to inform educators and policymakers about the contribution of Entrepreneurship Education to the development of digital competencies and the advancement of innovative entrepreneurial practices.
Women entrepreneurs in South Africa continue to encounter financial, institutional, geographical, and gender constraints that hinder business growth. This research explores how these interrelated constraints affect women’s entrepreneurial perspectives and the engagement in the small- and medium-sized enterprise sector. Using an interpretivist qualitative method, data were gathered using an open-ended digital survey with 25 women entrepreneurs operating in various South African settings, reinforced by an analysis of pertinent policy and entrepreneurship-related papers. Thematic analysis identified six interconnected themes: financial exclusion and gendered power; gender norms and patriarchal expectations; geographic marginalisation; network and institutional exclusion; intersectional disadvantage; and resilience and survival-focused strategies. Findings show that women embrace adaptive practices such as personal savings, informal finance and diversification, which allow businesses survival but do not always promote sustained success. These barriers limit access to capital, markets, networks, facilities, and value chains, reducing job growth and business competitiveness. Reflecting on feminist economics, decolonial feminism, and intersectionality, the paper contends that women’s entrepreneurship needs to be regarded as a systemic and structural challenge, instead of a single resilience challenge. The research recommends coordinated, gender-responsive actions that promote accessibility to financing, markets, infrastructure, networks and supportive institutions.
Mobile technology is increasingly prevalent in urban regions of South Africa; nevertheless, there is a scarcity of empirical data evaluating the use and integration of such technologies by small-scale enterprises in KwaZulu-Natal. This research investigates the influence of mobile technology on the efficacy of mobile entrepreneurs within small-scale companies in KwaZulu-Natal. It aims to assess how the integration of mobile technologies influences corporate expansion, competitive edge, and the ability to satisfy market requirements. The research locale encompasses Durban, PMB, Port Shepstone, and Richards Bay in KwaZulu-Natal. The research utilised a quantitative methodology, surveying 384 mobile entrepreneurs affiliated with SEDA in the SMME sector in KwaZulu-Natal. A systematic closed-ended Likert scale questionnaire was used as the main tool for data collection. The analysis of data was conducted with SPSS version 29.0. The results of this research indicate that mobile technologies are perceived as significantly impactful in fostering business expansion, efficiency, and adaptability among mobile entrepreneurs in KwaZulu-Natal. This research determines that mobile technologies significantly contribute to the performance of mobile entrepreneurs in the small-scale industries of KZN. The research will enhance the understanding of mobile entrepreneurship inside small-scale enterprises. Policymakers and entrepreneurs can get advantages by comprehending the influence of mobile technologies on mobile entrepreneurship performance and their impact on business expansion, competitiveness, and market demand fulfilment
Social entrepreneurship has arisen as a pivotal mechanism for tackling intricate societal issues while fostering sustainable growth. This study examines the crucial function of social entrepreneurs in promoting inclusive growth, environmental sustainability, and community empowerment. Social businesses merge creative business models with social objectives, effectively reconciling profit and purpose while providing scalable solutions to challenges like poverty, inequality, and climate change. The research investigates the processes by which social entrepreneurship advances social development in South Africa, emphasising case studies from various industries and locations. It also examines the facilitating environments—policy frameworks, financial tools, and educational initiatives—that promote the development of social companies. The findings highlight the capacity of social entrepreneurship to initiate systemic change, underscoring its importance in fostering resilient and equitable communities. This research enhances the dialogue on sustainable development by framing social entrepreneurship as not only a corporate strategy but also a crucial catalyst for enduring social impact.
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 |