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: 7 / 7 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 02:39 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.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 11 | 7 | 7/7 | 7/7 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 14 | 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 7 / 7 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): 2026-10-21T07:22:53.440611+00:00 — 2026-10-22T02:39:46.947826+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 0 | 7 | 7/7 |
| 2023 | All selected publications | 0 | 7 | 7/7 |
| 2024 | All selected publications | 3 | 7 | 7/7 |
| 2025 | All selected publications | 7 | 7 | 7/7 |
| 2026 | All selected publications | 4 | 7 | 7/7 |
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 |
|---|---|
| 2024 | 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 Business Ecosystem & Strategy Bussecon International Academy | 3 | 3 | 3 | 3/3 | 1.0 | 1 | 66.7 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 8 | 11 | 4/4 | 2.0 | 2.0 | 100.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The ever-evolving digital marketing landscape has continuously adapted to technological advancement, consumer behaviour and ecosystem trends. The 21st century marketplace needs traditional marketing practices, and digital platforms to ensure the actualisation of their growth and development in the ecosystem. The study examined how different digital marketing platforms can influence SMEs' operations and performance (Online marketing, and ICT initiatives). The study employed a quantitative design with primary data collection via a questionnaire designed based on 5-Likert’s Scale to answer the research questions; if there is a significant relationship between Online Marketing and SMEs' Business Competitiveness, and if ICT initiative has a positive relationship with SMEs' Business Growth. Two (2) hypotheses were formulated and tested using a statistical package for social sciences (SPSS). To ascertain the hypotheses formulated, both descriptive and regression analyses were carried out, and the output clearly showed a significant influence of digital marketing on the performance of SMEs. The result shows a positive impact of online marketing on SME business competitiveness. However, this study concluded that in the technology-driven environment, 21st-century SMEs will always see the usefulness and relevance of digital marketing because of its role in improving their performance. This study recommends that SMEs incorporate intensive digital platforms and engage in time-to-time updates of their online marketing channels.
Various studies have been carried out to establish the key drivers impacting small enterprise sustainable performance in developing countries. Despite many policy-oriented studies to uncover the factors influencing SME resilience in emerging markets, these firms continue to register high failure rate, which has been further exacerbated by the Covid-19 pandemic. Guided by a history of linear- and log-linear econometric model estimation that ignores potential network effects, our study extends the literature by implicating SMME resilience as a production network. Utilising data from both incubated and non-incubated SMMEs, marking a departure from traditional linear econometric models, radial basis function artificial neural network algorithm was invoked to establish the drivers of SMME resilience during Covid-19 regime. The study extends the literature by implicating eXplainable Artificial Intelligence (XAI) methods. Specifically, optimal SHapley Additive Explanations values (SHAP values) were computed to enhance the prediction output from the machine learning algorithm. The XAI analytics provide insightful findings on the key drivers which influenced the resilience of SMMEs during the Covid-19 pandemic. The importance of innovation through introduction of new products, company age and higher number of marketing mediums is confirmed however total assets, analytics, educational level and number of workers surfaced as a threat to these enterprises’ sustainable performance. The study recommends that both the government and SMEs should leverage XAI to identify their heterogeneous attributes and inform intelligent decision-making which necessities their resilient performance.
This study aims to analyze the influence of innovation, competitiveness, and business ecosystem variables on strengthening the local economy. The development of small businesses as the basis of the people's economy is one of the strategic steps that need to be followed up with concrete steps to increase family productivity, improve the economy, and overcome the problems of poverty, and unemployment. Community business is one of the strengthening of the local economy. This research is field research with qualitative and quantitative approaches to provide a comprehensive explanation. The research sample was MSME business actors in Sukajadi Village, Muaraenim Regency using the purposive sampling method. Data collection techniques are used through surveys, documentation, and questionnaires using Likert scales to assess instruments. Multiple linear regression equations were utilized for the analysis of the data. The results showed that the variables of innovation, competitiveness, and business ecosystem partially or simultaneously affect the strengthening of the local economy. The independent variable affected the dependent variable by 51.2% while the remaining 48.8% was influenced by other variables not described in this study. Innovation, competitiveness, and business ecosystems play a crucial role in strengthening the local economy. These factors are interconnected and have a positive impact simultaneously and reinforce each other. By working together, innovation, competitiveness, and business ecosystems can create a strong sustainable, and inclusive local economic environment at the local level. This not only benefits local businesses but also for communities to become more resilient and able to access more opportunities. This condition supports the improvement of the welfare and quality of life of the community as a whole.
The world economy and ecology have undoubtedly been impacted by the coronavirus disease (COVID-19) epidemic. Female-owned Micro and Small Enterprises (MSEs), particularly those operating in marginalised rural economies, are major victims of the COVID-19 outbreak, mostly due to their restricted usage of digital technologies. Digitalisation thus opens up new opportunities for rural women owned MSEs and can help them remain competitive. The study aims to explore COVID-19 pandemic digitisation lessons for rural women owned micro-and small-enterprises. Even though the literature on Women Entrepreneurship is well covered, to the best of our knowledge, the intersection between rural women entrepreneurship and digitisation remains largely unexplored, particularly in African economies. A qualitative approach using personal insights to provide COVID-19 pandemic digitisation lessons for women owned MSEs was used to guide the collection and analysis of the data. The data were collected from a purposive sample of seven women entrepreneurs operating MSEs in the Raymond Mhlaba Local Municipality located in South Africa’s Eastern Cape Province and analysed through thematic analysis. The results highlight the critical importance of incorporating digital technology into business operations, stressing the need to prioritize data security, adopting a mobile-first approach, recognising the significance of an online presence, and innovatively developing digital or digitally enhanced offerings. The study's insights provide data-informed insights, as we continue to advocate for inclusive and effective responses to crises such as the COVID-19 pandemic. For rural women owned MSEs in South Africa, it is clear that digital platforms have been helpful, and while digitalization alone is insufficient, this research can inform the recovery strategies and policies needed after the pandemic. Key words: COVID-19, digitization, micro-and small enterprise, rural women entrepreneurs
The creative economy industry has created millions of jobs in Indonesia. One of the creative economy fields in Indonesia is makeup artist. But the makeup artist field also has many challenges in the increasingly fierce business competition. This research aims to investigate the influence of social media usage, innovation and competitive advantage on makeup artist business performance by considering the role competitive advantage as mediators. This research was conducted in Malang Raya with a focus on the makeup artist services business. The research method used was a survey with a questionnaire as a data collection instrument. The research sample consisted of 112 respondents who were owners of makeup artist business in Indonesia. The quantitative approach is used to describe, strengthen, and explain the hypotheses proposed in the study of observed phenomena. The statistical method used for data processing is Partial Least Squares Structural Equation Modeling (PLS-SEM). This study demonstrates a significant and positive correlation between social media usage, innovation and competitive advantage on the makeup artist business performance. The results of the mediation analysis also show that competitive advantage mediate the relationship between social media usage and innovation on makeup artist business performance. Therefore, makeup artists should optimize the use of social media to improve their business performance goals. This includes the use of the latest wardrobe, makeup trend, photo and video taking techniques, keep up to date with viral makeup content. The better the use of social media, the better the innovation, and the ability to maintain a competitive advantage by fulfills client expectations will make clients buy and recommend makeup services so as to improve the performance of makeup artists both financially and nonfinancially.
Digital marketing has profoundly altered the marketing techniques utilised by merchants. Although a growing number of rural retail enterprises in South Africa are starting to implement these techniques, the comprehensive effect of digital marketing on their sustainability is still inadequately examined. This study seeks to investigate the impact of internet marketing on retail operations in the rural community of Flagstaff. A quantitative research methodology was utilised, distributing questionnaires to all 52 major merchants via a census technique, yielding 45 replies and an 87% response rate. The results demonstrate that merchants employ several digital marketing strategies, such as social media marketing, email marketing, and mobile marketing, to engage with customers and present sales propositions. This engagement is constrained by the minimal acceptance of digital marketing among consumers, restricted e-commerce utilisation, and inadequate digital literacy, preventing both sides from fully leveraging its advantages. The report advises businesses to persist in using digital marketing methods, including social media and email marketing, into their promotional efforts. This strategy will enable them to engage the niche population that prefers these platforms and maintain alignment with market trends, so assuring competitiveness. Furthermore, it is essential to assist rural areas in improving their digital marketing adoption to sustain retail enterprises and maintain relevance in the contemporary digital environment.
The world economy and ecology have undoubtedly been impacted by the coronavirus disease (COVID-19) epidemic. Female-owned Micro and Small Enterprises (MSEs), particularly those operating in marginalised rural economies, are major victims of the COVID-19 outbreak, mostly due to their restricted usage of digital technologies. Digitalisation thus opens up new opportunities for rural women owned MSEs and can help them remain competitive. The study aims to explore COVID-19 pandemic digitisation lessons for rural women owned micro-and small-enterprises. Even though the literature on Women Entrepreneurship is well covered, to the best of our knowledge, the intersection between rural women entrepreneurship and digitisation remains largely unexplored, particularly in African economies. A qualitative approach using personal insights to provide COVID-19 pandemic digitisation lessons for women owned MSEs was used to guide the collection and analysis of the data. The data were collected from a purposive sample of seven women entrepreneurs operating MSEs in the Raymond Mhlaba Local Municipality located in South Africa’s Eastern Cape Province and analysed through thematic analysis. The results highlight the critical importance of incorporating digital technology into business operations, stressing the need to prioritize data security, adopting a mobile-first approach, recognising the significance of an online presence, and innovatively developing digital or digitally enhanced offerings. The study's insights provide data-informed insights, as we continue to advocate for inclusive and effective responses to crises such as the COVID-19 pandemic. For rural women owned MSEs in South Africa, it is clear that digital platforms have been helpful, and while digitalization alone is insufficient, this research can inform the recovery strategies and policies needed after the pandemic. Key words: COVID-19, digitization, micro-and small enterprise, rural women entrepreneurs
The Covid-19 crisis has disrupted businesses of Small, Medium and Micro Enterprises (SMMEs) globally, particularly in rural areas such as KwaZulu-Natal (KZN), South Africa. This study investigated the social media marketing strategies adopted by rural SMMEs to survive and grow during the Covid-19 crisis. Furthermore, it aims to recommend the social media marketing strategies that can be used by SMMEs as a critical tool for their survival and grow during the Covid-19 crisis in rural KZN. The quantitative design was adopted, and data was collected from 374 rural SMMEs in KZN by a closed-ended 5-point Likert scale questionnaire. The collected data was analysed by means of statistical social sciences software 27.0. Data was analyzed using descriptive statistics, factor analysis, and correlation analysis to identify the determinants of social media strategies and its impact on business performance. Key findings include a significant positive relationship between creating awareness of products and services and increased sales, where r = 0.708, p <0.01 and a significant correlation between customers’ needs and complaints and use of social media to retain customers, where r =0.653, p < 0.001. Recommendations suggested that rural SMMEs must gain technical competencies to use social media marketing strategies to gain competitive advantage to sustain their businesses during the Covid-19 crisis.
The ever-evolving digital marketing landscape has continuously adapted to technological advancement, consumer behaviour and ecosystem trends. The 21st century marketplace needs traditional marketing practices, and digital platforms to ensure the actualisation of their growth and development in the ecosystem. The study examined how different digital marketing platforms can influence SMEs' operations and performance (Online marketing, and ICT initiatives). The study employed a quantitative design with primary data collection via a questionnaire designed based on 5-Likert’s Scale to answer the research questions; if there is a significant relationship between Online Marketing and SMEs' Business Competitiveness, and if ICT initiative has a positive relationship with SMEs' Business Growth. Two (2) hypotheses were formulated and tested using a statistical package for social sciences (SPSS). To ascertain the hypotheses formulated, both descriptive and regression analyses were carried out, and the output clearly showed a significant influence of digital marketing on the performance of SMEs. The result shows a positive impact of online marketing on SME business competitiveness. However, this study concluded that in the technology-driven environment, 21st-century SMEs will always see the usefulness and relevance of digital marketing because of its role in improving their performance. This study recommends that SMEs incorporate intensive digital platforms and engage in time-to-time updates of their online marketing channels.
The creative economy industry has created millions of jobs in Indonesia. One of the creative economy fields in Indonesia is makeup artist. But the makeup artist field also has many challenges in the increasingly fierce business competition. This research aims to investigate the influence of social media usage, innovation and competitive advantage on makeup artist business performance by considering the role competitive advantage as mediators. This research was conducted in Malang Raya with a focus on the makeup artist services business. The research method used was a survey with a questionnaire as a data collection instrument. The research sample consisted of 112 respondents who were owners of makeup artist business in Indonesia. The quantitative approach is used to describe, strengthen, and explain the hypotheses proposed in the study of observed phenomena. The statistical method used for data processing is Partial Least Squares Structural Equation Modeling (PLS-SEM). This study demonstrates a significant and positive correlation between social media usage, innovation and competitive advantage on the makeup artist business performance. The results of the mediation analysis also show that competitive advantage mediate the relationship between social media usage and innovation on makeup artist business performance. Therefore, makeup artists should optimize the use of social media to improve their business performance goals. This includes the use of the latest wardrobe, makeup trend, photo and video taking techniques, keep up to date with viral makeup content. The better the use of social media, the better the innovation, and the ability to maintain a competitive advantage by fulfills client expectations will make clients buy and recommend makeup services so as to improve the performance of makeup artists both financially and nonfinancially.
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 |