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: 16 / 16 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 04:57 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.
13 / 16 with data · 3 missing or unmatched. Percentages use all 16 selected publications.
13 / 16 with data · 3 missing or unmatched. Percentages use all 16 selected publications.
16 / 16 with data · 0 missing or unmatched. Percentages use all 16 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 |
|---|---|---|---|---|---|
| 2011 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2012 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2013 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2011 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2012 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2013 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2011 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2012 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2013 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 6 | 6/6 | 6/6 |
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 16 / 16 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): 2026-10-21T07:22:44.494232+00:00 — 2026-10-22T04:57:22.586231+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 | 16 | 16/16 |
| 2018 | All selected publications | 1 | 16 | 16/16 |
| 2019 | All selected publications | 1 | 16 | 16/16 |
| 2020 | All selected publications | 1 | 16 | 16/16 |
| 2021 | All selected publications | 3 | 16 | 16/16 |
| 2022 | All selected publications | 1 | 16 | 16/16 |
| 2023 | All selected publications | 2 | 16 | 16/16 |
| 2024 | All selected publications | 1 | 16 | 16/16 |
| 2025 | All selected publications | 2 | 16 | 16/16 |
| 2026 | All selected publications | 0 | 16 | 16/16 |
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 |
|---|---|
| 2011 | 1 |
| 2016 | 1 |
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2022 | 2 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 6 |
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 | 5 | 0 | 0 | 5/5 | 0.0 | 0 | 0.0 | 5/5 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 11 | 0 | 13 | 11/11 | 0.0 | 0 | 0.0 | 11/11 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to explore the effect of foreign direct investment on the educational attainment. This paper employed the POLS and 2SLS models. In Pooled Ordinary Least Square Model, educational attainment in primary, lower secondary, upper secondary and masters’ level have the significant positive relationship with foreign direct investment. In Two stage Least Square Model, educational attainment in primary, lower secondary, upper secondary, tertiary and masters’ level have the significant positive relationship with foreign direct investment. This study contributes to look at the impact foreign direct investment on educational attainment. Panel data from 38 Asian countries was gathered for this study, which spanned the years 2011 to 2022. The study results have important policy implications as they are directly linked to the United Nations’ Sustainable Development Goals (SDGs) Target 4.1, which aims to guarantee that all girls and boys get free, equitable, and high-quality primary and secondary education by 2030, resulting in relevant and effective learning outcomes.
The study explores relationships between renewable energy variables across African nations, focusing on South Africa (RSA) and the Democratic Republic of Congo (DRC) using panel data from 2013 to 2022. Key variables include Chinese mining sector FDI (in USD), renewable energy capacity (in MW), technological advancements, policy frameworks, natural resource management, technological adoption, and risk perception. Employing descriptive analysis, Pearson correlation, and linear regression, the study reveals notable findings. Descriptive statistics highlight significant diversity in renewable energy capacity, policy support, and mining sector FDI levels across African countries, reflecting varying development stages and investment climates. The DRC exhibits slower FDI growth compared to South Africa. Correlation analysis indicates that Chinese FDI strongly correlates with technological advancements, favorable policy frameworks, and renewable energy capacity, while high-risk perceptions discourage investment and capacity development. Regression results identify technological advancements as the most significant predictor of FDI and sustainable growth, emphasizing its critical role in attracting investment. Although policy frameworks and risk perception show potential, further exploration with larger datasets is required to uncover their moderating or indirect effects. The study underscores the interdependence between technological development, investment flows, and renewable energy capacity. It calls on African nations to prioritize technological advancements, foster partnerships with Chinese firms for technology transfer, and implement robust policy frameworks. Policymakers should focus on political stability, economic reforms, tax incentives, streamlined approvals, co-financing mechanisms, and addressing structural challenges to effectively attract FDI and drive sustainable growth.
Taiwan's banking sector operates in a highly competitive market with narrow profit margins, creating significant pressure for internationalization. This study investigates the external environmental factors influencing the timing of Taiwanese banks' foreign direct investment (FDI) in Japan, with a particular focus on geopolitical risks. The research, based on secondary data analysis and in-depth interviews with senior executives from four Taiwanese banks that have recently invested in Japan, finds that key drivers such as the U.S.-China trade war, supply chain restructuring, Taiwan's New Southbound Policy, changes in Japan's defense and economic security policies, as well as the depreciation of the yen, widening interest margins, and Japan's policy support, play a crucial role in shaping the timing of these investments. Notably, geopolitical risks emerge as a significant determinant in FDI timing decisions. By highlighting the importance of geopolitical risks, this study contributes to the theoretical framework of FDI timing and recommends further research on cross-industry and investment performance to refine analytical framework for FDI timing in a fragmented global economy.
Global trade has significantly expanded over the past thirty years in both developed and emerging economies, a phenomenon assisted by advancements in transportation, telecommunications, and industry. Extensive trading fosters financial links between national economies, hence promoting economic progress. This article aims to investigate the interrelationship among foreign direct investment, trade, and South Africa's economic growth. Econometric techniques, including the autoregressive distributed lag bound test, were used to annual data from 1988 to 2022. The findings indicated that economic growth is positively affected by foreign direct investment and exports in both the short and long term. This indicated that foreign direct investment and exports are substantial contributions to economic growth.This analysis indicates that both foreign direct investment (FDI) and trade significantly impact the macroeconomic environment and influence economic growth. Developing countries such as South Africa must use diverse strategies to guarantee elevated rates and quality of economic growth. Improvements in the investment climate and the establishment of incentives are necessary to enable the equitable allocation of resources across various sectors to address employment challenges, poverty rates, and the maintenance of growth. Export-oriented strategies should be adopted. Therefore, it is essential to analyse the determinants of economic growth by examining foreign direct investment and trade in the context of South Africa, particularly in relation to the country's performance as measured against the National Development Plan targets since the post-1994 period.
This paper aims to highlight the relationship between cultural differences and the performance of non-equity alliances in the hotel sector with reference to a developing country. The paper employs an empirical investigation based on quantitative analysis. Data were gathered through questionnaires obtained from Tunisian hotels involved in 78 non-equity alliances with foreign partners. The partial least squares (PLS) technique was used to estimate the model. Results reveal that national and organizational cultural differences have a negative impact on alliance performance in this sector. The likelihood of alliance decay is then strengthened. However, national cultural differences do not moderate the relationship between organizational cultural differences and alliance performance. The corporate culture of these hotels could somehow be impervious to local culture. This paper helps fill the void of empirical evidence of the impact of both levels of culture on the performance of non-equity alliances in the hotel industry, which warrants more attention, especially in developing countries.
This study aims to explore the effect of foreign direct investment on the educational attainment. This paper employed the POLS and 2SLS models. In Pooled Ordinary Least Square Model, educational attainment in primary, lower secondary, upper secondary and masters’ level have the significant positive relationship with foreign direct investment. In Two stage Least Square Model, educational attainment in primary, lower secondary, upper secondary, tertiary and masters’ level have the significant positive relationship with foreign direct investment. This study contributes to look at the impact foreign direct investment on educational attainment. Panel data from 38 Asian countries was gathered for this study, which spanned the years 2011 to 2022. The study results have important policy implications as they are directly linked to the United Nations’ Sustainable Development Goals (SDGs) Target 4.1, which aims to guarantee that all girls and boys get free, equitable, and high-quality primary and secondary education by 2030, resulting in relevant and effective learning outcomes.
Foreign capital inflows (FCI) are essential for economic growth in developing countries. This study examines the socioeconomic factors affecting FCI in 31 Sub-Saharan African (SSA) countries, utilizing panel data from 1985 to 2019 and employing the System GMM dynamic modeling approach. The findings indicate that when foreign direct investment (FDI) is treated as an endogenous variable, real interest rate (RIR), life expectancy (LEX), GDP growth rate, and food security (foodsec) have significant positive impacts. Conversely, the real exchange rate (RER) and inflation (INF) negatively correlate with FDI. Human capital investment is not statistically significant while the relationship between lagged FDI and current FDI is positive but nonsignificant. When foreign portfolio investment (FPI) is considered an endogenous variable, only food security exhibits a positive and statistically significant factor, suggesting that food security can enhance FPI flows. The study recommends that SSA countries aiming to attract more FCI should focus on improving healthcare, food security, and education. It is also suggested that countries should develop highly skilled R&D employees, public and private scientific research institutions, and industrial concentration in a country because they fundamentally drive the development and success of foreign capital flow levels. Central banks should also implement effective strategies to optimize capital flows by advancing financial institutions.
The overarching aim of this study is to shed light on the effects of the competitive dynamics between local and international enterprises in townships and rural regions of the Chris Hani District Municipality (CHDM), Eastern Cape province, South Africa. To achieve this aim, our study compares the effects of these selected strategies between local and foreign businesses owned by local and foreign traders in townships and rural areas in the CHDM. We employed a quantitative research approach using questionnaires to gather data. In the complete model, the indirect effect of product diversification (PD) on competition dynamics (CD) through pricing strategy (PS) is minimal and non-significant. Similarly, for foreign businesses and local businesses, the mediation effect remains negligible. These findings suggest that while PD influences CD directly in some contexts, PS does not play a significant intermediary role. Overall, the results highlight the direct impact of PD on CD, particularly for foreign businesses. The mediating role of PS is negligible, and the importance of diversification for competition differs significantly between foreign and local businesses. These findings suggest the need for tailored diversification strategies based on the business context to enhance competitive positioning
This paper explores the role of strategic government communication in attracting Foreign Direct Investment (FDI) to Zimbabwe in the post-Mugabe era, using a Systematic Literature Review (SLR) methodology. The study investigates how government communication strategies, including diplomatic engagement, national branding, and media outreach, influence investor perceptions and contribute to economic growth. The review identifies key insights, noting that Zimbabwe’s efforts to rebrand itself through campaigns like "Zimbabwe is Open for Business" have enhanced its image internationally and attracted investments, particularly in the mining and infrastructure sectors. However, the study highlights several challenges, including political instability, inconsistent policies, and competition from other African nations, which continue to hinder Zimbabwe's full potential in attracting FDI. The findings suggest that while strategic communication has been effective in improving Zimbabwe’s image, further steps are needed to ensure consistent policy frameworks and address investor concerns regarding security and economic stability. The paper concludes that sustained efforts in refining communication strategies, alongside policy consistency, are essential for Zimbabwe to become a more competitive investment destination. Additionally, future research directions are proposed, including comparative studies with other African nations and an exploration of the role of non-governmental actors and digital platforms in enhancing FDI attraction.
The study explores relationships between renewable energy variables across African nations, focusing on South Africa (RSA) and the Democratic Republic of Congo (DRC) using panel data from 2013 to 2022. Key variables include Chinese mining sector FDI (in USD), renewable energy capacity (in MW), technological advancements, policy frameworks, natural resource management, technological adoption, and risk perception. Employing descriptive analysis, Pearson correlation, and linear regression, the study reveals notable findings. Descriptive statistics highlight significant diversity in renewable energy capacity, policy support, and mining sector FDI levels across African countries, reflecting varying development stages and investment climates. The DRC exhibits slower FDI growth compared to South Africa. Correlation analysis indicates that Chinese FDI strongly correlates with technological advancements, favorable policy frameworks, and renewable energy capacity, while high-risk perceptions discourage investment and capacity development. Regression results identify technological advancements as the most significant predictor of FDI and sustainable growth, emphasizing its critical role in attracting investment. Although policy frameworks and risk perception show potential, further exploration with larger datasets is required to uncover their moderating or indirect effects. The study underscores the interdependence between technological development, investment flows, and renewable energy capacity. It calls on African nations to prioritize technological advancements, foster partnerships with Chinese firms for technology transfer, and implement robust policy frameworks. Policymakers should focus on political stability, economic reforms, tax incentives, streamlined approvals, co-financing mechanisms, and addressing structural challenges to effectively attract FDI and drive sustainable growth.
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 |