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: 74 / 74 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 00:49 UTC — 22 Oct 2026 01:29 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
69 / 74 with data · 5 missing or unmatched. Percentages use all 74 selected publications.
69 / 74 with data · 5 missing or unmatched. Percentages use all 74 selected publications.
74 / 74 with data · 0 missing or unmatched. Percentages use all 74 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 | 4 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 11 | 11 | 11/11 | 11/11 |
| 2023 | All selected publications | 16 | 16 | 16/16 | 16/16 |
| 2024 | All selected publications | 15 | 15 | 15/15 | 15/15 |
| 2025 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2026 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| 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 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 3 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 30 | 11 | 11/11 | 11/11 |
| 2023 | All selected publications | 42 | 16 | 16/16 | 16/16 |
| 2024 | All selected publications | 19 | 15 | 15/15 | 15/15 |
| 2025 | All selected publications | 1 | 8 | 8/8 | 8/8 |
| 2026 | All selected publications | 1 | 7 | 7/7 | 7/7 |
| 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 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 8 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 46 | 11 | 11/11 | 11/11 |
| 2023 | All selected publications | 52 | 16 | 16/16 | 16/16 |
| 2024 | All selected publications | 22 | 15 | 15/15 | 15/15 |
| 2025 | All selected publications | 1 | 8 | 8/8 | 8/8 |
| 2026 | All selected publications | 1 | 7 | 7/7 | 7/7 |
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 74 / 74 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): 2026-10-21T00:49:27.812193+00:00 — 2026-10-22T01:29:03.949123+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 | 74 | 74/74 |
| 2018 | All selected publications | 2 | 74 | 74/74 |
| 2019 | All selected publications | 8 | 74 | 74/74 |
| 2020 | All selected publications | 7 | 74 | 74/74 |
| 2021 | All selected publications | 7 | 74 | 74/74 |
| 2022 | All selected publications | 17 | 74 | 74/74 |
| 2023 | All selected publications | 32 | 74 | 74/74 |
| 2024 | All selected publications | 50 | 74 | 74/74 |
| 2025 | All selected publications | 61 | 74 | 74/74 |
| 2026 | All selected publications | 36 | 74 | 74/74 |
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 | 4 |
| 2021 | 4 |
| 2022 | 11 |
| 2023 | 16 |
| 2024 | 15 |
| 2025 | 8 |
| 2026 | 7 |
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 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 paper investigates the relationship between Corporate Social Responsibility, talent development, and performance in youth-led entrepreneurial firms operating in South Africa, where youth unemployment levels are high. It acknowledges that Corporate Social Responsibility plays a part in talent development and influencing the performance of an organization which is not well developed in young entrepreneurship. Through bibliometric analysis, the paper depicts the landscape of current knowledge and research trends to key themes, main authors and collaborative networks. Findings show that there is an emerging wake-up call to Corporate Social Responsibility as a strategic drive for the development of human capital and enhancing performance in youth-led companies, with notable gaps both conceptually and empirically on the institutional context of South African youth-owned businesses. This paper recommends that there should be more investment in culture-specific, evidence-based research and greater incorporation of Corporate Social Responsibility into programmes for youth talent development. By linking Corporate Social Responsibility to targeted talent development, long-term performance outcomes can be enhanced, and inclusive entrepreneurial growth for youth may be reinforced as a broad-based strategy for job creation, innovation, and sustainable economic development.
Entrepreneurship is increasingly recognised as a critical driver of economic growth, innovation, and graduate employability in the global knowledge economy. While entrepreneurship education has traditionally been located within business and management disciplines, limited attention has been paid to the pedagogical role of English methodology in cultivating entrepreneurial skills and mindsets in higher education. This study addresses this gap by systematically reviewing empirical literature published between 2014 and 2025 to examine how English teaching methodologies contribute to the development of entrepreneurial competencies among university students. Guided by human capital theory, social learning theory, and the theory of planned behaviour, the study synthesises evidence from peer-reviewed studies across diverse higher education contexts. The findings indicate that learner-centred, communicative, and experiential English pedagogies play a significant role in fostering key entrepreneurial attributes, including creativity, critical thinking, opportunity recognition, collaboration, adaptability, and persuasive communication. Approaches such as project-based learning, academic literacy instruction, digital storytelling, debate, and pitching tasks are shown to bridge linguistic competence with entrepreneurial agency by enabling students to apply language skills in authentic, problem-oriented contexts. Furthermore, English methodology emerges as a transversal pedagogical platform that supports interdisciplinary collaboration and innovation across academic fields. The study concludes that integrating entrepreneurship-oriented English methodologies into higher education curricula is not supplementary but essential for preparing graduates to navigate complex labour markets and entrepreneurial ecosystems. The article offers practical implications for curriculum design, academic development, and institutional policy, positioning English methodology as a strategic contributor to entrepreneurship education and socio-economic development.
Focusing on the challenges faced by entrepreneurship educators in South Africa, we employed a qualitative research approach. The aim was to offer valuable insights that are applicable to similar educational settings and contribute to the broader discourse on entrepreneurship education. Data was gathered through semi-structured interviews from a purposive sample of seven entrepreneurship educators in South Africa. The qualitative data collected for this study was analysed using thematic analysis with the support of ATLAS.ti version 24. The research reveals that educators encounter challenges in keeping the curriculum current due to changes in technology, market trends, and the rapidly evolving business environment. The findings also indicated that one semester was insufficient for educators to cover all the theoretical and practical aspects of entrepreneurship. Additionally, student engagement posed a challenge for educators as students showed more interest in pursuing formal employment rather than starting their own businesses. Interdisciplinary collaboration, lack of local case studies, networking and industry connections, resource constraints, and short-term teaching contracts were also identified as some of the challenges faced by entrepreneurship educators in universities. The practical implications suggest a need to promote entrepreneurship by implementing initiatives such as workshops and mentorship programs with successful entrepreneurs. The research fills a gap in the existing literature, as there is a limited understanding of the specific challenges faced by entrepreneurship educators.
Entrepreneurship is essential in tackling youth unemployment and poverty in South Africa. Yet, little empirical research explores how entrepreneurial skills, support systems, and societal values impact university students' entrepreneurial activities and success. This study examines the effects of these factors on students’ entrepreneurial outcomes and investigates how societal values may influence the relationship between activity and success. Conducted among students at the University of the Western Cape and the University of Mpumalanga, the research employed a quantitative, positivist approach. Data from 314 students were collected via a structured questionnaire, and validated constructs were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) to test the proposed relationships. Results show that entrepreneurial skills and support systems significantly drive entrepreneurial activity, which in turn positively influences entrepreneurial success. Societal values also directly predict success, but they do not significantly moderate the link between activity and success. Overall, entrepreneurial competencies and support mechanisms are crucial for student outcomes, while societal values enhance success but have limited moderating effects. This research is among the first in South Africa to integrate empowerment theory and an expanded Theory of Planned Behaviour to explain student entrepreneurship. It offers valuable insights for higher education institutions, policymakers, and entrepreneurship programmes aiming to promote success in emerging economies.
Entrepreneurship has become a vital force for economic development and innovation in the 21st century. Higher education institutions are pivotal in preparing students to succeed in this dynamic landscape by nurturing entrepreneurial skills and mindsets. This systematically reviewed the 23 empirical studies from databases between 2014 and 2024 to explore the imperative role of higher education in fostering entrepreneurship. It examines the evolving demands of the global economy, emphasising the need for individuals equipped with the creativity, resilience, and adaptability characteristic of successful entrepreneurs. The research findings highlight the pivotal role of higher education in fostering entrepreneurial skills and mindsets. Key findings include adopting interdisciplinary curriculum design and integrating business, technology, and creative fields to provide students with a comprehensive understanding of entrepreneurship. The findings reveal that Higher Education Institutions (HEIs) are critical in promoting entrepreneurial skills and mindsets. They can achieve this by driving entrepreneurial growth, providing practical learning opportunities, promoting cross-disciplinary and collaborative learning, and addressing challenges in entrepreneurship education. To fully realise this potential, a comprehensive approach is needed, including changes to the curriculum, development of academics, institutional support, and community involvement. This will enable HEIs to produce competent, knowledgeable graduates who drive innovation and economic development. Experiential learning opportunities such as internships and startup incubators significantly nurture entrepreneurial mindsets by offering real-world experiences and enhancing problem-solving skills. The study emphasises the importance of entrepreneurial ecosystems within higher education institutions, promoting collaboration and innovation through partnerships with various stakeholders.
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 |