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: 4 / 4 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 — 21 Oct 2026 00:49 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 27 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 42 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-21T00:49:30.153551+00:00 — 2026-10-21T00:49:30.889458+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 2 | 4 | 4/4 |
| 2020 | All selected publications | 2 | 4 | 4/4 |
| 2021 | All selected publications | 3 | 4 | 4/4 |
| 2022 | All selected publications | 6 | 4 | 4/4 |
| 2023 | All selected publications | 6 | 4 | 4/4 |
| 2024 | All selected publications | 6 | 4 | 4/4 |
| 2025 | All selected publications | 11 | 4 | 4/4 |
| 2026 | All selected publications | 6 | 4 | 4/4 |
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 | 4 |
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 | 4 | 27 | 42 | 4/4 | 6.75 | 7.0 | 100.0 | 4/4 · 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 study analyzed whether family influence, gender, and entrepreneurial education would influence vocational students’ desire to become entrepreneurs. A survey was conducted in 6 vocational schools in Tasikmalaya, West Java, involving 246 vocational students. Using multiple regression analysis, findings show that entrepreneurial education has the highest influence (57.5%) shaping entrepreneurial intention among vocational students, while gender account for 30% influence on students’ entrepreneurial intention. Male and female students believed that they must be given the same opportunities for entrepreneurship, yet there are feminine and masculine attributes that differentiate successful entrepreneurial plans between genders. Lastly, findings show that family background has the least influence (16%) on entrepreneurial intentions. Respondents disclosed that there are many choices open to them aside from being entrepreneurs, and they would opt for this choice instead of following their parents. Nevertheless, they believe in family support through advice and access to capital. Implications for research, policy, and practice are discussed. This study has shown evidence that entrepreneurship can be a solution to Indonesia’s high unemployment problem for young vocational students, but this entails better entrepreneurial education, the provision of gender-equal opportunities for males and female students, and enhanced family support for entrepreneurial ventures.
Abstract This study was aimed at investigating how Ethiopian universities integrate entrepreneurship education into the formal curriculum. To achieve this objective descriptive survey research design was used. Data were collected from university students, instructors, and department heads. Accordingly, four universities were selected as sample universities by using simple random sampling technique. From these sample universities departments that give entrepreneurship course with all its students, instructors and department heads were taken as sample of the study. Data were collected by using questionnaire, interview, and document analysis from the participants. The result shows that in Ethiopian higher education institutions, entrepreneurship education curriculum and teaching methods is developed in house; have no a formalized national or international exchange of good practice in entrepreneurship education and did not include entrepreneurs in the development of entrepreneurship teaching materials. In addition, since the entrepreneurship education course is not integrated to all programs only few students took it as a result students did not develop entrepreneurial behavior, skills, knowledge in their stay in the university. The predominant methods of teaching used were lecture and case study. The major barriers for the development of entrepreneurship education identified are lack of funding available to support the entrepreneurship education and good-quality entrepreneurship education materials, lack of support from the top management and lack of strategic integration of entrepreneurship education in their institutions.
Non-Governmental Organizations (NGOs) play a critical role in addressing social ills like poverty, employment, and food insecurity; therefore, their growth prospects enhance their ability to address these social ills. Discovery of entrepreneurial opportunities amongst the agro-based NGOs has not got the desired attention, and it is the least researched area in social entrepreneurship. This study investigated the relationship between Entrepreneurial Opportunity Discovery Dimensions and Growth of Non-Governmental Organizations in Kenya. It employed correlation design and was anchored on the Kirznerian Entrepreneurship Theory. The target population was 135 agro-based NGOs in Kenya. A mixed-method approach was used, combined qualitative and quantitative techniques. Statistical Package for Social Sciences (SPSS) version 21 and Analysis of Moment Structures (AMOS graphic-25) aided in the analysis. Structural Equation Modeling (SEM) using AMOS and Simple linear regression analysis were the primary analysis techniques used to evaluate the relationship between entrepreneurial opportunity discovery dimensions and the growth of NGOs. The results indicated that alertness0.372, p=0.033)and prior knowledge (0.163, p=0.031) have a significant favorable influence on growth, while social networks 0.047, p=0.713) showed an insignificant effect on the growth of NGOs. Investing in acquiring alert individuals and helping them gain relevant knowledge in the 21sttechnologies and emerging issues can lead to increased NGO ability to continue serving the community effectively and be engines of development for the general good of Kenya.
The study analyzed whether family influence, gender, and entrepreneurial education would influence vocational students’ desire to become entrepreneurs. A survey was conducted in 6 vocational schools in Tasikmalaya, West Java, involving 246 vocational students. Using multiple regression analysis, findings show that entrepreneurial education has the highest influence (57.5%) shaping entrepreneurial intention among vocational students, while gender account for 30% influence on students’ entrepreneurial intention. Male and female students believed that they must be given the same opportunities for entrepreneurship, yet there are feminine and masculine attributes that differentiate successful entrepreneurial plans between genders. Lastly, findings show that family background has the least influence (16%) on entrepreneurial intentions. Respondents disclosed that there are many choices open to them aside from being entrepreneurs, and they would opt for this choice instead of following their parents. Nevertheless, they believe in family support through advice and access to capital. Implications for research, policy, and practice are discussed. This study has shown evidence that entrepreneurship can be a solution to Indonesia’s high unemployment problem for young vocational students, but this entails better entrepreneurial education, the provision of gender-equal opportunities for males and female students, and enhanced family support for entrepreneurial ventures.
Non-Governmental Organizations (NGOs) play a critical role in addressing social ills like poverty, employment, and food insecurity; therefore, their growth prospects enhance their ability to address these social ills. Discovery of entrepreneurial opportunities amongst the agro-based NGOs has not got the desired attention, and it is the least researched area in social entrepreneurship. This study investigated the relationship between Entrepreneurial Opportunity Discovery Dimensions and Growth of Non-Governmental Organizations in Kenya. It employed correlation design and was anchored on the Kirznerian Entrepreneurship Theory. The target population was 135 agro-based NGOs in Kenya. A mixed-method approach was used, combined qualitative and quantitative techniques. Statistical Package for Social Sciences (SPSS) version 21 and Analysis of Moment Structures (AMOS graphic-25) aided in the analysis. Structural Equation Modeling (SEM) using AMOS and Simple linear regression analysis were the primary analysis techniques used to evaluate the relationship between entrepreneurial opportunity discovery dimensions and the growth of NGOs. The results indicated that alertness0.372, p=0.033)and prior knowledge (0.163, p=0.031) have a significant favorable influence on growth, while social networks 0.047, p=0.713) showed an insignificant effect on the growth of NGOs. Investing in acquiring alert individuals and helping them gain relevant knowledge in the 21sttechnologies and emerging issues can lead to increased NGO ability to continue serving the community effectively and be engines of development for the general good of Kenya.
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.
Abstract This study was aimed at investigating how Ethiopian universities integrate entrepreneurship education into the formal curriculum. To achieve this objective descriptive survey research design was used. Data were collected from university students, instructors, and department heads. Accordingly, four universities were selected as sample universities by using simple random sampling technique. From these sample universities departments that give entrepreneurship course with all its students, instructors and department heads were taken as sample of the study. Data were collected by using questionnaire, interview, and document analysis from the participants. The result shows that in Ethiopian higher education institutions, entrepreneurship education curriculum and teaching methods is developed in house; have no a formalized national or international exchange of good practice in entrepreneurship education and did not include entrepreneurs in the development of entrepreneurship teaching materials. In addition, since the entrepreneurship education course is not integrated to all programs only few students took it as a result students did not develop entrepreneurial behavior, skills, knowledge in their stay in the university. The predominant methods of teaching used were lecture and case study. The major barriers for the development of entrepreneurship education identified are lack of funding available to support the entrepreneurship education and good-quality entrepreneurship education materials, lack of support from the top management and lack of strategic integration of entrepreneurship education in their institutions.
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 |