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 — 28 Oct 2026 21:35 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.
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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 12 | 8 | 8/8 | 8/8 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 12 | 8 | 8/8 | 8/8 |
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): 2026-10-21T07:22:59.941971+00:00 — 2026-10-28T21:35:24.500722+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 | 0 | 8 | 8/8 |
| 2023 | All selected publications | 0 | 8 | 8/8 |
| 2024 | All selected publications | 0 | 8 | 8/8 |
| 2025 | All selected publications | 1 | 8 | 8/8 |
| 2026 | All selected publications | 11 | 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 |
|---|---|
| 2025 | 8 |
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 | 4 | 4 | 2/2 | 2.0 | 2.0 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 6 | 8 | 8 | 6/6 | 1.33 | 0.5 | 50.0 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
This paper explores the relationship between environmental, social, and governance performance (ESGP) and firm value in both emerging and developed economies, with the moderating impact of environmental uncertainty and competitive advantage. Using secondary unbalanced data spanning from 2011 to 2022, we examine both the direct and non-linear effects of ESG performance on firm value, employing advanced econometric estimation techniques such as two-step system GMM (2sGMM) and two-stage least square (2SLS). The analysis finds that: (1) ESG performance positively influences firm value in both Chinese and US banks, and the results remain valid after robustness test; (2) The results also confirm that ESG performance non-linearly influence firm value across the samples, with an inverted U-shape relationship; (3) Additionally, we further investigate the moderating effects of environmental uncertainty and competitive advantage, uncovering that environmental uncertainty dampens the ESGP-firm value relationship, while competitive advantage further amplifies it. This study contributes to the understanding of how ESG performance can act as strategic assets that align managerial and stakeholder interests, and improve firm performance, by underpinning agency, stakeholder, and the resource-based view theory. Practical insights are also provided for policymakers, regulators, and financial institutions regarding the use of ESGP as a competitive tool in uncertain and dynamic market environments.
Increasing access to quality education in South Africa has led to a rise in enrollment by students from diverse backgrounds at higher education institutions. However, first-entering students transition from secondary school to higher education, and it is hypothesized that this will affect students psychologically, socially, and financially. Financially, many higher education students in South Africa rely on the National Student Financial Aid Scheme (NSFAS). This study investigates the relationship between students’ socioeconomic backgrounds and academic success at a South African university. A mixed-methods approach surveyed 74 first-year students in the Extended Curriculum Programme at the University of Venda, South Africa. Findings from regression and correlation analyses indicate that poor and low socio-economic backgrounds among Extended Curriculum Programme students significantly affect their academic performance and success. These findings challenge the notion that disadvantaged backgrounds necessarily hinder student achievement and emphasize the importance of creating an environment that supports students from all socio-economic backgrounds. Eight policy recommendations and strategies are provided to enhance student success and support for diverse socio-economic backgrounds in higher education institutions.
Individuals are becoming more aware of the negative effects of the rapid fashion industry and are shifting to second-hand clothes. Due to its potential to minimize clothing waste, purchasing second-hand garments is reflected as environmentally friendly. Using an online questionnaire survey, this research examines the factors influencing consumers’ purchasing intention of second-hand clothing via the mediation of individualism and product attitude by applying the Statistical Package for the Social Sciences (SPSS) 25.0 and the Analysis of Moment Structures (AMOS) 25.0 to analyze the data collected information. The proposed models are expanded by additional construct factors to evaluate their influence on purchase intention. The results indicate that online second-hand clothing purchase intention (PI) is partially explained by the theory of planned behavior (TPB) with product attitude (PA) and individualism (IN). Among the additional factors encompassed, consumer perceived value (CPV) and consumer perceived risk (CPR) negatively impacted the consumer’s intention to buy second-hand clothing. Additionally, this study validates the effectiveness of the integrated model of TPB in interpreting customers’ buying intentions for second-hand clothing. This study also yielded theoretical and managerial implications, as well as proposals for further research.
Workplace stress and nurse retention are critical challenges in healthcare, affecting organizational stability and public health outcomes. Therefore, this study investigates the impact of stressors and job satisfaction on nurses’ turnover intentions in the western region of Ghana, with a focus on the moderating role of transformational leadership. Methodologically, a descriptive cross-sectional design was employed to collect data from 364 registered nurses working in four hospitals. Participants completed an online questionnaire measuring stress factors, job satisfaction, turnover intentions, and transformational leadership. Structural equation modelling was employed to analyze the data using Mplus 8.3. The results revealed stressors (stress from workload, superiors, and coworkers and daily life) significantly increased nurses’ turnover intentions while negatively influencing job satisfaction. Job satisfaction was inversely associated with turnover intentions, and transformational leadership moderated this relationship, reducing the likelihood of such intentions. The findings highlight the importance of fostering job satisfaction and implementing transformational leadership strategies, such as mentorship and effective stress management, to alleviate workplace stress and enhance nurse retention. These insights offer valuable guidance for hospital administrators and policymakers in designing interventions to improve nurse retention and overall organizational performance.
This study investigates the factors influencing investment decision-making within South Africa's financial markets, focusing on psychological, demographic, and external market elements. Drawing from Prospect Theory, the research reveals a deviation from traditional behavioral assumptions, highlighting that external market dynamics, rather than individual risk perceptions or demographic traits, predominantly guide investor behavior. Using a quantitative cross-sectional design, data were collected through structured questionnaires from 120 randomly selected South African investors aged 18 and older with market experience. Structural equation modelling assessed factors influencing risk perception and subsequently, investment behavior. The findings demonstrate that market-related variables significantly influence risk perception (? = 0.653, p < 0.001) and decision-making, aligning with the Efficient Market Hypothesis. In contrast to Prospect Theory's expectations, risk perception had no significant direct effect on investment choices (? = -0.009, p = 0.933). Cognitive biases and emotional influences exerted a moderate impact, while demographic characteristics, including gender, education, and experience, showed minimal influence on investment decisions, suggesting that practical market experience outweighs formal training. With robust construct validation (CR = 0.711 to 0.951), the study enhances the reliability and credibility of the findings. It highlights global regulatory frameworks as crucial for investor confidence. These results contribute to behavioral finance literature and support practical implications for policy, market transparency, and investor education. Future research should consider diverse populations and qualitative investors' perspectives.
The study sought to investigate the factors influencing environmental reporting in developing countries. This has been necessited by the inconsistances and non compliant to regulations and laws of environmental reporting among the developing countries. Through examining the factors that influence environmental reporting the study hope to establish context based solutions to the challenge of environmental reporting. The study used a quantitative research method and factor analysis to establish the factors influencing environmental reporting. It was discovered that there are seven key factors influencing environmental reporting among Southern African Development Community (SADC) countries. These factors are: regulatory drivers, risk management drivers, market drivers, management influence drivers, strategic communication drivers, value creation drivers and legitimacy drivers. The study also revealed that there are several sub-factors that influencing environmental reporting under each key factor identified. The study concluded that environmental reporting influenced by the seven key factors. The study recommends that SADC sought for in-depth understanding of factors influencing environmental reporting. This is because understanding of the factors affecting environmental reporting is essential for the formulation and reporting that that satisfies stakeholders' requirements.
This study investigates the factors influencing investment decision-making within South Africa's financial markets, focusing on psychological, demographic, and external market elements. Drawing from Prospect Theory, the research reveals a deviation from traditional behavioral assumptions, highlighting that external market dynamics, rather than individual risk perceptions or demographic traits, predominantly guide investor behavior. Using a quantitative cross-sectional design, data were collected through structured questionnaires from 120 randomly selected South African investors aged 18 and older with market experience. Structural equation modelling assessed factors influencing risk perception and subsequently, investment behavior. The findings demonstrate that market-related variables significantly influence risk perception (? = 0.653, p < 0.001) and decision-making, aligning with the Efficient Market Hypothesis. In contrast to Prospect Theory's expectations, risk perception had no significant direct effect on investment choices (? = -0.009, p = 0.933). Cognitive biases and emotional influences exerted a moderate impact, while demographic characteristics, including gender, education, and experience, showed minimal influence on investment decisions, suggesting that practical market experience outweighs formal training. With robust construct validation (CR = 0.711 to 0.951), the study enhances the reliability and credibility of the findings. It highlights global regulatory frameworks as crucial for investor confidence. These results contribute to behavioral finance literature and support practical implications for policy, market transparency, and investor education. Future research should consider diverse populations and qualitative investors' perspectives.
The changing business environment in South Africa has encouraged Management Accounting graduates to consider alternative career paths beyond traditional corporate positions. Entrepreneurship, especially in the fields of consulting and financial advisory, offers a valuable opportunity for these graduates to utilize their skills in financial analysis, business strategy, and risk management. Nonetheless, many graduates remain underrepresented in entrepreneurial endeavors due to several challenges, including limited exposure to entrepreneurship education, a tendency towards risk aversion, and difficulties in accessing financial resources. This study examines the entrepreneurial intentions of Management Accounting graduates in South Africa, focusing on their perceptions of self-efficacy, available support systems, and the obstacles they encounter in pursuing entrepreneurship. Anchored in the Entrepreneurial Intention Theory (EIT), the research investigates key factors such as attitudes towards entrepreneurship, perceived behavioral control, and subjective norms that affect graduates’ career decisions. A quantitative methodology was employed, surveying third year and postgraduate diploma students at the Durban University of Technology to evaluate their preparedness for entrepreneurship. The findings reveal that although graduates acknowledge entrepreneurship as a feasible career option, deficiencies in entrepreneurial training and limited opportunities for practical business experience impede their transition into self-employment. The study emphasizes the necessity of incorporating entrepreneurship education into Management Accounting curricula and enhancing collaborations between universities and industries to address these deficiencies. Moreover, targeted support from government agencies and financial institutions is crucial for cultivating a supportive entrepreneurial ecosystem. The study seeks to provide valuable insights for educational institutions and policymakers to improve career diversification strategies for graduates by tackling these barriers. Promoting entrepreneurial ventures in consulting and financial advisory not only broadens employment opportunities but also contributes to the wider economic development of South Africa.
Increasing access to quality education in South Africa has led to a rise in enrollment by students from diverse backgrounds at higher education institutions. However, first-entering students transition from secondary school to higher education, and it is hypothesized that this will affect students psychologically, socially, and financially. Financially, many higher education students in South Africa rely on the National Student Financial Aid Scheme (NSFAS). This study investigates the relationship between students’ socioeconomic backgrounds and academic success at a South African university. A mixed-methods approach surveyed 74 first-year students in the Extended Curriculum Programme at the University of Venda, South Africa. Findings from regression and correlation analyses indicate that poor and low socio-economic backgrounds among Extended Curriculum Programme students significantly affect their academic performance and success. These findings challenge the notion that disadvantaged backgrounds necessarily hinder student achievement and emphasize the importance of creating an environment that supports students from all socio-economic backgrounds. Eight policy recommendations and strategies are provided to enhance student success and support for diverse socio-economic backgrounds in higher education institutions.
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 |