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: 3 / 3 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 01:35 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 9 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 10 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-21T07:22:43.109607+00:00 — 2026-10-22T01:35:07.113927+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 5 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 1 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
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 | 3 |
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 | 3 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 7 | 7 | 2/2 | 3.5 | 3.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The paper seeks to illustrate the propinquity between mobile phone technology and the profitability of immigrant entrepreneurs’ businesses and whether there is a positive effect. The outcome should ascertain if mobile technology could be propounded as a credible source of competitive advantage. The paper uses a qualitative approach, using content analysis as the research design tool. Data analysis was done through the conceptual content analysis approach. Various online databases such as EBSCOhost, Google scholar, JSTOR, and Science Direct were accessed for literature. Different terms (keywords) such as; “Mobile phone technology”, “mobile marketing”, and “mobile payment” were searched. The data collected through a systematic literature review were compiled, analysed, and generated conclusions. This paper deduces that immigrant entrepreneurs stand to gain a competitive edge by using mobile phone technology, thereby improving business performance. Future researchers need to expand the scope of their study to other sectors and industries globally. The paper exhibits the significance of apps and websites as mobile technology tools that can positively impact business performance. This paper outlines how mobile technology is now an essential catalyst in the performance of various business sectors. Results are essential to app and website developers, entrepreneurs and the business society.
This paper aims to contribute to the rapidly growing transnational immigrant entrepreneurship (TIE) literature by empirically exploring eco-factors and components from entrepreneurial ecosystem perspectives. Through content analysis of the TIE concepts and definitions of the entrepreneurial ecosystem, the study defines the concept of the immigrant entrepreneurial ecosystem and suggests it as an instrument for studying the relationship between immigrant firms and their business environment. Case studies and qualitative analysis examines and evaluates the dual (host- and home-country) entrepreneurial ecosystem (DEE) and its eco-factors and components. Case studies show cultural norms, in particular, home-country national values and family values, are key players in transnational entrepreneurs who engage in transnational entrepreneurship. The research results support that the DEE framework is a key instrument for the study of the determination of transnational immigrant entrepreneurs’ motivation, strategy, and outcomes. This research theoretically contributes to TIE literature by finding new influential eco-factors and components, thus, enhancing the DEE framework. It also provides suggestions to policymakers and practitioners and further research directions.
The small business sector has been identified as an essential component of the global economy, especially in developing economies, where it plays a significant role in addressing job creation and poverty. However, the COVID-19 pandemic and its attendant lockdown restrictions have brought untold devastation to the sector forcing many out of operation, crippling business operations and financial viability. We seek to identify the role and impact of government relief measures in helping immigrant-owned businesses in South Africa to deal with the impact of the pandemic on their businesses. Primary data was collected using an electronic questionnaire administered to 260 foreign business owners in South Africa. The data was cleaned and statistically analysed using IBM SPSS version 27. We interpreted and discussed the results using the realistic conflict theory. Though a vast majority of the businesses (89%) reported that the pandemic had a very severe impact on their financial sustainability and liquidity, none of them reported that they benefitted from any of the South African government business support packages during the pandemic.
The paper seeks to illustrate the propinquity between mobile phone technology and the profitability of immigrant entrepreneurs’ businesses and whether there is a positive effect. The outcome should ascertain if mobile technology could be propounded as a credible source of competitive advantage. The paper uses a qualitative approach, using content analysis as the research design tool. Data analysis was done through the conceptual content analysis approach. Various online databases such as EBSCOhost, Google scholar, JSTOR, and Science Direct were accessed for literature. Different terms (keywords) such as; “Mobile phone technology”, “mobile marketing”, and “mobile payment” were searched. The data collected through a systematic literature review were compiled, analysed, and generated conclusions. This paper deduces that immigrant entrepreneurs stand to gain a competitive edge by using mobile phone technology, thereby improving business performance. Future researchers need to expand the scope of their study to other sectors and industries globally. The paper exhibits the significance of apps and websites as mobile technology tools that can positively impact business performance. This paper outlines how mobile technology is now an essential catalyst in the performance of various business sectors. Results are essential to app and website developers, entrepreneurs and the business society.
This paper aims to contribute to the rapidly growing transnational immigrant entrepreneurship (TIE) literature by empirically exploring eco-factors and components from entrepreneurial ecosystem perspectives. Through content analysis of the TIE concepts and definitions of the entrepreneurial ecosystem, the study defines the concept of the immigrant entrepreneurial ecosystem and suggests it as an instrument for studying the relationship between immigrant firms and their business environment. Case studies and qualitative analysis examines and evaluates the dual (host- and home-country) entrepreneurial ecosystem (DEE) and its eco-factors and components. Case studies show cultural norms, in particular, home-country national values and family values, are key players in transnational entrepreneurs who engage in transnational entrepreneurship. The research results support that the DEE framework is a key instrument for the study of the determination of transnational immigrant entrepreneurs’ motivation, strategy, and outcomes. This research theoretically contributes to TIE literature by finding new influential eco-factors and components, thus, enhancing the DEE framework. It also provides suggestions to policymakers and practitioners and further research directions.
The small business sector has been identified as an essential component of the global economy, especially in developing economies, where it plays a significant role in addressing job creation and poverty. However, the COVID-19 pandemic and its attendant lockdown restrictions have brought untold devastation to the sector forcing many out of operation, crippling business operations and financial viability. We seek to identify the role and impact of government relief measures in helping immigrant-owned businesses in South Africa to deal with the impact of the pandemic on their businesses. Primary data was collected using an electronic questionnaire administered to 260 foreign business owners in South Africa. The data was cleaned and statistically analysed using IBM SPSS version 27. We interpreted and discussed the results using the realistic conflict theory. Though a vast majority of the businesses (89%) reported that the pandemic had a very severe impact on their financial sustainability and liquidity, none of them reported that they benefitted from any of the South African government business support packages during the pandemic.
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 |