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: 8 / 8 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 — 23 Oct 2026 11:26 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.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 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 | 4 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 16 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 22 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 1 | 1/1 | 1/1 |
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 8 / 8 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): 2026-10-21T07:22:46.737099+00:00 — 2026-10-23T11:26:02.179384+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 | 8 | 8/8 |
| 2018 | All selected publications | 0 | 8 | 8/8 |
| 2019 | All selected publications | 0 | 8 | 8/8 |
| 2020 | All selected publications | 0 | 8 | 8/8 |
| 2021 | All selected publications | 0 | 8 | 8/8 |
| 2022 | All selected publications | 1 | 8 | 8/8 |
| 2023 | All selected publications | 4 | 8 | 8/8 |
| 2024 | All selected publications | 9 | 8 | 8/8 |
| 2025 | All selected publications | 11 | 8 | 8/8 |
| 2026 | All selected publications | 2 | 8 | 8/8 |
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 | 4 |
| 2023 | 2 |
| 2024 | 1 |
| 2025 | 1 |
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 | 2 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 2 | 5 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 6 | 17 | 20 | 6/6 | 2.83 | 2.0 | 83.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The influence of macroeconomic variables on aspects of business and the country's economy has been a subject of robust discussion. This study was conducted to identify the effect of macroeconomic variables, namely inflation rate, economic growth, exchange rate and share price, on listed companies in South Africa. The goal was to study the long run and short run effects of macroeconomic volatility on company performance because of the world’s recent pandemic experience. To achieve this objective, the study applied the panel Autoregressive Distributed Lag (ARDL) model on annual panel data from 2010 to 2020 to analyse the short run and long run effects of macroeconomic variables on a company’s performance. The study results suggested a positive impact of economic growth, exchange rate and share price on asset returns, whilst a company's equity return is supported by economic growth and share price in the long run. The short run revealed that none of the independent variables has a sufficiently significant effect to influence a company's performance changes in the short run. Based on the findings, it was recommended that policymakers and economic authorities should introduce and implement strategies that favour and enhance the country's economic growth and stable exchange rate in order to improve company performance. Additionally, given that the company's short-run performance may highly depend on internal factors such as corporate governance, internal policies and business strategies, these decisions should be taken with precaution and a high level of professionalism.
This study examined the implications of the COVID-19 pandemic on the much sought-after regional economic integration using Southern Africa as a case study. The eruption of COVID-19 stifled world economic activities and unleashed economic uncertainties. First, the disease forced countries into imposing restrictions that included total closure of businesses and borders and travel bans that resulted in reduced economic activity among countries. Second, Africa was expected to suffer economic reverse of between -2% to -5% in 2020 due to a sharp decline in output growth. This has had adverse implications on trade and financial markets across the region and scuppers the ambitions for regional economic integration. Using a desktop approach the study critiqued and analysed the literature on regional integration and the impact of the COVID-19 pandemic on prospects for enhanced regional economic integration. The findings revealed that COVID-19 plunged the prospects of regional economic integration into disarray. Owing to imposed restrictions business slumped, trade declined, poverty deepened and vulnerability of populations increased cumulatively negating the quest for regional integration. The study concludes that to manage the aftermath of COVID-19, regional economic coordination should be encouraged.
The paper’s objective was to investigate the relationship between COVID-19 and South Africa financial stock markets. The pandemic worsened South Africa's unstable financial condition and societal problems: business was severely disrupted, as were the travel industry, hospitality, food security, small businesses, and many other sectors. The results show that the COVID-19 pandemic triggered high and longer-lasting financial volatility in the markets. The higher level of volatility persistence suggests a prolonged period of increased uncertainty. Overall, the uncertainty about the vaccine's effectiveness towards the pandemic provides low expectations about the future of the stock market, since there are variants that are still being discovered.
The onset of the COVID-19 pandemic has introduced a new phase of company operations. The advent of digital transformation (DT) has fundamentally transformed the global business landscape. Despite the global prevalence of this phenomenon, there is limited understanding of digital transformation (DT) in the context of COVID-19 and its impact on private sector organizations in developing nations. This study investigates the impact of COVID-19 on the process of digital transformation in privately owned companies located in underdeveloped nations. To accomplish this objective, a systematic literature review was conducted following the PRISMA (2020) principles, resulting in a selection of 26 studies. This study employs an inductive methodology, where pertinent topics are identified as they arise from the literature throughout the analysis stage. The technology-organization-environment framework (TOE) was subsequently employed to provide a contextual framework for these issues. The research findings suggest that the presence of resources, both financial and technological, is a crucial determinant in the adoption of digital transformation. The adoption of DT has been significantly influenced by various factors, including the role of governments, competitive forces, security, and other relevant considerations. Although organizations in underdeveloped nations encountered numerous hurdles, it was found that digital transformation progressed rapidly in all areas. Companies underwent substantial transformations to embrace digital transformation (DT), including the use of digital business models to facilitate remote operations and heightened investment in education, skills, and innovative digital tactics. Given the recent emergence of COVID-19, there remain numerous uncertainties regarding the enduring impacts that COVID-19 has had on organizations.
Consumer decisions are influenced by various variables, including compliance with society’s social norms and by involvement by consumers with the issue under consideration. Both variables have influenced consumers’ actions during previous pandemics. Therefore, this study investigated involvement with the Covid-19 pandemic, together with social norm compliance (SNC), their mutual influence, and how demographic characteristics and country of residence influenced these three issues. The methodology involved a quantitative descriptive cross-sectional survey, with a quota sample of 1096 responses, based on age, gender, education, habitation, and income. The research was conducted with populations representing the consumers who patronize major retailers in a developed country (Germany) and a developing one (South Africa). Data was collected via questionnaires e-mailed to commercial consumer panels covering both countries. The findings showed that involvement is influenced by gender, age, education, habitation, and country of residence, but that SNC is not influenced by demographics but does differ according to country. Further findings were that involvement with Covid-19 strongly influences SNC and, similarly, SNC also strongly influences involvement with Covid-19. Furthermore demographics, excluding habitation, also influence these variables. However, the relationship between the involvement and SNC variables does not differ between the two countries. This study has provided a better understanding of consumers’ involvement with Covid-19 and SNC as components of consumer behavior, which is important since, during the Covid-19 pandemic, retailers have been instrumental in implementing health protocols. Therefore, understanding the relationship between involvement with Covid-19 and SNC, and how they are influenced by consumer demographics, is important.
Pandemics result in significant devastation, leaving considerable destruction in their wake. Numerous researchers contend that the coronavirus disease 19 (COVID-19) pandemic exceeded prior pandemics in various aspects. The COVID-19 pandemic significantly impacted global economies, businesses, and societies, resulting in substantial damage and lasting effects. The aviation industry experienced a significant near-collapse for the first time since the advent of aeroplanes, attributed to the COVID-19 pandemic. This research was initiated to synthesise existing studies on the strategies utilised by Small, Medium, and Micro Enterprises (SMMEs) to sustain operations during disasters such as COVID-19 in South Africa. This systematic literature review analyses the survival strategies and failures of SMMEs in Africa in response to the economic disruptions induced by the COVID-19 pandemic. Sixteen accredited journals were incorporated into the data analysis. The thematic analysis identified several themes from the original data: Networking and Accessing Financial Support, Response to Crisis Conditions, Digital Technology, Disruption of Supply Chains, and Inadequate and Insufficient Government Support. This study synthesises existing research to identify factors that supported SMMEs in sustaining operations and recovering from challenges induced by the pandemic. This study offers significant insights into the survival strategies and challenges faced by SMMEs during the COVID-19 pandemic in Africa. African leaders should supervise the execution of digital transformation initiatives, focused financial assistance, and strategies for long-term business continuity.
International commerce across southern Africa has increased significantly in recent years. This phenomenon has been replicating what has been happening on the African continent as a whole, and it does indicate that the region has significant growth in economic opportunities. Hence, the arrival of the Covid-19 pandemic interrupted international commerce and caused significant concern. The emphasis of this work was on the global economic interconnectivity in the Southern African region prior to and during the Covid-19 pandemic. The main objective of this study was to determine how the Covid-19 pandemic influenced international commerce in Southern Africa. The study was qualitative in nature, as well as secondary data collection methods were used. The research used a documentary review as its analysis method. This included compiling and analysing more than 60 online resources relating to various and relevant the Covid-19 pandemic and international commerce from several past research. The study found that the world economy, particularly the economies of Southern African nations, was encountering certain difficulties before the outbreak of the Covid-19 pandemic. It was stated that as a consequence of the pandemic, Southern African countries implemented a slew of steps in an effort to overcome the issues posed by the Covid-19 pandemic interruptions.
The onset of the COVID-19 pandemic has introduced a new phase of company operations. The advent of digital transformation (DT) has fundamentally transformed the global business landscape. Despite the global prevalence of this phenomenon, there is limited understanding of digital transformation (DT) in the context of COVID-19 and its impact on private sector organizations in developing nations. This study investigates the impact of COVID-19 on the process of digital transformation in privately owned companies located in underdeveloped nations. To accomplish this objective, a systematic literature review was conducted following the PRISMA (2020) principles, resulting in a selection of 26 studies. This study employs an inductive methodology, where pertinent topics are identified as they arise from the literature throughout the analysis stage. The technology-organization-environment framework (TOE) was subsequently employed to provide a contextual framework for these issues. The research findings suggest that the presence of resources, both financial and technological, is a crucial determinant in the adoption of digital transformation. The adoption of DT has been significantly influenced by various factors, including the role of governments, competitive forces, security, and other relevant considerations. Although organizations in underdeveloped nations encountered numerous hurdles, it was found that digital transformation progressed rapidly in all areas. Companies underwent substantial transformations to embrace digital transformation (DT), including the use of digital business models to facilitate remote operations and heightened investment in education, skills, and innovative digital tactics. Given the recent emergence of COVID-19, there remain numerous uncertainties regarding the enduring impacts that COVID-19 has had on organizations.
The manufacturing sector is vital in the South African economy, especially in international trade. Nonetheless, the covid-19 and fuel price fluctuations have convulsed both global and domestic production and trade. This study analsed how an increase in new cases of covid-19 and fuel price shocks affected motor vehicles export in South Africa. The assessment used monthly time series from March 2020 to March 2022. The autoregressive distributed lag (ARDL) and error correction models assisted in determining both long-run and short-run relationships among variables. The results suggested an inverse relationship between new covid-19 cases, fuel prices and motor vehicle exports in both the long and short run. This study recommends introducing new vehicle models that are fuel efficiency, tax and levy reduction on fuel to reduce the effect of the high fuel price of vehicles export. Increasing awareness, precaution and encouraging vaccination could assist in lowering COVID-19 infection.
Consumer decisions are influenced by various variables, including compliance with society’s social norms and by involvement by consumers with the issue under consideration. Both variables have influenced consumers’ actions during previous pandemics. Therefore, this study investigated involvement with the Covid-19 pandemic, together with social norm compliance (SNC), their mutual influence, and how demographic characteristics and country of residence influenced these three issues. The methodology involved a quantitative descriptive cross-sectional survey, with a quota sample of 1096 responses, based on age, gender, education, habitation, and income. The research was conducted with populations representing the consumers who patronize major retailers in a developed country (Germany) and a developing one (South Africa). Data was collected via questionnaires e-mailed to commercial consumer panels covering both countries. The findings showed that involvement is influenced by gender, age, education, habitation, and country of residence, but that SNC is not influenced by demographics but does differ according to country. Further findings were that involvement with Covid-19 strongly influences SNC and, similarly, SNC also strongly influences involvement with Covid-19. Furthermore demographics, excluding habitation, also influence these variables. However, the relationship between the involvement and SNC variables does not differ between the two countries. This study has provided a better understanding of consumers’ involvement with Covid-19 and SNC as components of consumer behavior, which is important since, during the Covid-19 pandemic, retailers have been instrumental in implementing health protocols. Therefore, understanding the relationship between involvement with Covid-19 and SNC, and how they are influenced by consumer demographics, is important.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |