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 07:23 UTC — 22 Oct 2026 02:56 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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 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): 2026-10-21T07:23:05.181578+00:00 — 2026-10-22T02:56:26.488758+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 | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2026 | 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 | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
This study examines the integration of digitalization, mobile applications, and vernacular languages in Small, Medium and Micro Enterprise (SMME) management within KwaZulu-Natal Province, South Africa. A quantitative descriptive analysis was conducted using systematic probability sampling of 147 SMMEs across five sectors (agriculture, hospitality, construction, healthcare, and transportation) in the KwaZulu-Natal Midlands region. Findings reveal significant gaps between policy support and the actual implementation of digital-vernacular language integration, with 45% of respondents indicating inadequate policy support and 58.9% expressing dissatisfaction with the current progress of digitalization. Results suggest the need for targeted policy interventions to support the digital transformation of SMMEs that incorporate indigenous language capabilities. The study contributes to understanding the intersection of digital transformation and linguistic diversity in emerging economy entrepreneurship management, and the dynamic capabilities theory was undertaken as the benchmark to support the literature. The findings revealed a disconnect between the provision of support from policymakers and authorities regarding the program of action and deliverables that could help SMMEs integrate their entrepreneurial management with the demands of digitalisation, including resources and capabilities. The findings further exposed the gap between the expectations of SMMEs and the current level of digital and vernacular language integration in terms of systematic support and deliverables. Additionally, the findings characterized the slow pace of transformation supported by policymakers in digitalization, mobile applications, and the adoption of vernacular languages, which is already at an advanced stage in similar emerging economies in the global South.
Small and Medium Enterprises (SMEs) significantly contribute to South Africa's economic growth and job creation; nevertheless, their sustainability is hindered by ongoing structural issues. The article analyses how digital platforms—such as fintech, digital payments, and e-commerce—can facilitate the growth and economic resilience of SMEs. The research employs a rigorous desk review process to synthesise information from academic literature, policy reports, and case studies published from 2015 to 2025. The analysis utilises thematic synthesis, uncovering four principal themes: (1) Barriers to SME Growth, (2) Digital Platforms as Solutions, (3) Obstacles to Digital Adoption, and (4) Theoretical Perspectives on Digital Adoption. Critical findings indicate that although digital platforms have substantial prospects, their adoption is constrained by infrastructural deficiencies, digital illiteracy, regulatory challenges, and perceived risks. Utilising the Technology Acceptance Model and Diffusion of Innovation Theory, the research illustrates that perceived utility and ease of use depend on structural and ecological preparedness. The document advocates for a comprehensive, contextually tailored support system that amalgamates infrastructure enhancement, digital skills education, regulatory reform, and the cultivation of institutional trust. The paper's contribution is the reclassification of contextual restrictions as primary factors influencing digital adoption in SMEs within emerging markets.
Globally, SMEs were severely disrupted by the COVID-19 pandemic, especially in developing nations where systemic vulnerabilities are more noticeable. This study examines the growth and survival tactics used by SMEs in South Africa's eThekwini Metropolitan Area during the pandemic's peak and the subsequent recovery period. The study, which was based on a quantitative design, used a structured questionnaire to survey 304 managers and owners of SMEs. The results show that SMEs used a variety of survival tactics, such as lowering operating costs, integrating digital technology, and making short-term changes to their business models. Product diversification, strategic alliances, and the adoption of e-commerce were among the growth strategies. The Resource-Based View (RBV) and Dynamic Capabilities Theory, which shed light on how SMEs used internal resources and adjusted to external shocks, serve as the foundation for this study. Recovery efforts were, however, hampered by obstacles like a lack of digital infrastructure, difficulty accessing relief funds, and complicated regulations. A post-crisis policy reflection and a SWOT analysis provide strategic insight into enhancing the resilience of SMEs. The study ends with specific managerial and policy suggestions that can be applied to urban SME ecosystems in developing nations.
Small and Medium Enterprises (SMEs) significantly contribute to South Africa's economic growth and job creation; nevertheless, their sustainability is hindered by ongoing structural issues. The article analyses how digital platforms—such as fintech, digital payments, and e-commerce—can facilitate the growth and economic resilience of SMEs. The research employs a rigorous desk review process to synthesise information from academic literature, policy reports, and case studies published from 2015 to 2025. The analysis utilises thematic synthesis, uncovering four principal themes: (1) Barriers to SME Growth, (2) Digital Platforms as Solutions, (3) Obstacles to Digital Adoption, and (4) Theoretical Perspectives on Digital Adoption. Critical findings indicate that although digital platforms have substantial prospects, their adoption is constrained by infrastructural deficiencies, digital illiteracy, regulatory challenges, and perceived risks. Utilising the Technology Acceptance Model and Diffusion of Innovation Theory, the research illustrates that perceived utility and ease of use depend on structural and ecological preparedness. The document advocates for a comprehensive, contextually tailored support system that amalgamates infrastructure enhancement, digital skills education, regulatory reform, and the cultivation of institutional trust. The paper's contribution is the reclassification of contextual restrictions as primary factors influencing digital adoption in SMEs within emerging markets.
This study examines the integration of digitalization, mobile applications, and vernacular languages in Small, Medium and Micro Enterprise (SMME) management within KwaZulu-Natal Province, South Africa. A quantitative descriptive analysis was conducted using systematic probability sampling of 147 SMMEs across five sectors (agriculture, hospitality, construction, healthcare, and transportation) in the KwaZulu-Natal Midlands region. Findings reveal significant gaps between policy support and the actual implementation of digital-vernacular language integration, with 45% of respondents indicating inadequate policy support and 58.9% expressing dissatisfaction with the current progress of digitalization. Results suggest the need for targeted policy interventions to support the digital transformation of SMMEs that incorporate indigenous language capabilities. The study contributes to understanding the intersection of digital transformation and linguistic diversity in emerging economy entrepreneurship management, and the dynamic capabilities theory was undertaken as the benchmark to support the literature. The findings revealed a disconnect between the provision of support from policymakers and authorities regarding the program of action and deliverables that could help SMMEs integrate their entrepreneurial management with the demands of digitalisation, including resources and capabilities. The findings further exposed the gap between the expectations of SMMEs and the current level of digital and vernacular language integration in terms of systematic support and deliverables. Additionally, the findings characterized the slow pace of transformation supported by policymakers in digitalization, mobile applications, and the adoption of vernacular languages, which is already at an advanced stage in similar emerging economies in the global South.
Globally, SMEs were severely disrupted by the COVID-19 pandemic, especially in developing nations where systemic vulnerabilities are more noticeable. This study examines the growth and survival tactics used by SMEs in South Africa's eThekwini Metropolitan Area during the pandemic's peak and the subsequent recovery period. The study, which was based on a quantitative design, used a structured questionnaire to survey 304 managers and owners of SMEs. The results show that SMEs used a variety of survival tactics, such as lowering operating costs, integrating digital technology, and making short-term changes to their business models. Product diversification, strategic alliances, and the adoption of e-commerce were among the growth strategies. The Resource-Based View (RBV) and Dynamic Capabilities Theory, which shed light on how SMEs used internal resources and adjusted to external shocks, serve as the foundation for this study. Recovery efforts were, however, hampered by obstacles like a lack of digital infrastructure, difficulty accessing relief funds, and complicated regulations. A post-crisis policy reflection and a SWOT analysis provide strategic insight into enhancing the resilience of SMEs. The study ends with specific managerial and policy suggestions that can be applied to urban SME ecosystems in developing nations.
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 |