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: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 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: 22 Oct 2026 01:37 UTC — 22 Oct 2026 02:32 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 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 4 / 4 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): 2026-10-22T01:37:02.807205+00:00 — 2026-10-22T02:32:36.062659+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 2 | 4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 |
|---|---|
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 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 | 4 | 2 | 5 | 4/4 | 0.5 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This paper aims to examine the effect of corporate governance (CG) on firm performance (FP). The 3SLS (Three-Stage Least Squares) regressions were performed on a system of equations based on a panel dataset of 1,768 firm-years of Thai-listed companies from 2014 to 2020. This is to assess the simultaneous linear/curvilinear relationships between CG and FP. We found that internal CG mechanisms (i.e., the board size, institutional ownership, and dividend policy) are significantly related to firm performance measured by return on equity (ROE), return on assets (ROA), and price-to-book ratio/Tobin’s Q (PBR). Board size exhibits a curvilinear relationship rather than a linear relationship with FP. This reflects the integration between resource dependency theory and stewardship theory. Relative to ROE and ROA, a board size of 10 is optimal (which is associated with a peak ROE of 14.8% and a peak ROA of 3.4%. A board size greater than ten would see a fall in ROE and ROA. Relative to PBR, a board size of 12 is optimal, with a peak PBR of 2.39 times. This study further identifies a ranking of effective CG mechanisms.
This research examined the influence of board tenure diversity (BTD) on shareholder value creation (SVC) among 95 non-financial companies listed in South Africa. A quantitative quasi-experimental research design was employed. The data collection sources included integrated annual reports, the Who Owns Whom database and the Osiris database. The study used a fixed effects model to test the hypotheses. BTD was measured using the Blau index (BI_BTD), average tenure (AVE_TBM), standard deviation (SD_TBM), and coefficient of variation for tenure board members (TBM), as well as dummies for short tenured boards (AVE_TBM 3) and long tenured boards (AVE_TBM 10) The proxies of SVC included standard market value added (SMVA), market-to-book ratio (MTB) and Tobin’s Q (TBQ). The results of curvilinear quadratic models indicate that all BTD measures had both positive and negative influences on all SVC measures, highlighting an inverted U-shaped effect. The inverted U-shape effect reflects a trade-off between beneficial knowledge accumulation and harmful entrenchment or coordination problems as board tenure diversity increases beyond an optimal level. Given the inverted U-shaped effect, many proposals for corporate governance reform explicitly stress the importance of limiting board tenure.
This study investigates the impact of the COVID-19 pandemic on executive remuneration structures within South African transportation companies listed on the Johannesburg Stock Exchange, while also examining shifts in the intangible components of remuneration offered to employees. Employing a predominantly quantitative research design, the study analyses remuneration data to evaluate structural changes post-pandemic. Additionally, a qualitative analysis was conducted on corporate disclosures to assess the evolving nature of intangible remuneration elements. The findings reveal a notable shift in remuneration composition, with a greater proportion of executive compensation attributed to variable elements such as bonuses and short-term incentives, accompanied by a relative decline in base salaries. Moreover, companies demonstrated increased sensitivity to employee well-being, adopting flexible work arrangements and prioritising health and safety. These outcomes suggest that the pandemic catalysed both structural and philosophical changes in remuneration practices. The study contributes to the existing body of knowledge by offering a sector-specific analysis of how global disruptions can reshape compensation frameworks, thereby informing future corporate governance and human resource strategies.
Across the globe and particularly in the developing country settings, there has been an upsurge of interests from businesses, academics and policy-makers alike in understanding the relationship between corporate board characteristics and governance practices of State-Owned Enterprises (SOEs). This understanding especially in post-pandemic era would aid in formulating best policies for optimal performance of the SOEs. The aim of this study was to investigate the influence of board characteristics on corporate governance practices in SOEs in Ghana. Utilizing a structured questionnaire, data was collected from employees across various SOEs and analysed through Smart-PLS structural equation modelling. The findings indicate that board demographic characteristics have a significantly positive impact on governance practices, underscoring the importance of diversity in board composition. This outcome highlights the need for SOE policymakers to prioritize board diversity to enhance governance efficacy. This research enriches the literature on corporate governance in the developing country context and has practical implications for enhancing SOE management and performance. It also provides a foundation for future research to explore the dynamics of board characteristics in different contexts.
This research examined the influence of board tenure diversity (BTD) on shareholder value creation (SVC) among 95 non-financial companies listed in South Africa. A quantitative quasi-experimental research design was employed. The data collection sources included integrated annual reports, the Who Owns Whom database and the Osiris database. The study used a fixed effects model to test the hypotheses. BTD was measured using the Blau index (BI_BTD), average tenure (AVE_TBM), standard deviation (SD_TBM), and coefficient of variation for tenure board members (TBM), as well as dummies for short tenured boards (AVE_TBM 3) and long tenured boards (AVE_TBM 10) The proxies of SVC included standard market value added (SMVA), market-to-book ratio (MTB) and Tobin’s Q (TBQ). The results of curvilinear quadratic models indicate that all BTD measures had both positive and negative influences on all SVC measures, highlighting an inverted U-shaped effect. The inverted U-shape effect reflects a trade-off between beneficial knowledge accumulation and harmful entrenchment or coordination problems as board tenure diversity increases beyond an optimal level. Given the inverted U-shaped effect, many proposals for corporate governance reform explicitly stress the importance of limiting board tenure.
This study investigates the impact of the COVID-19 pandemic on executive remuneration structures within South African transportation companies listed on the Johannesburg Stock Exchange, while also examining shifts in the intangible components of remuneration offered to employees. Employing a predominantly quantitative research design, the study analyses remuneration data to evaluate structural changes post-pandemic. Additionally, a qualitative analysis was conducted on corporate disclosures to assess the evolving nature of intangible remuneration elements. The findings reveal a notable shift in remuneration composition, with a greater proportion of executive compensation attributed to variable elements such as bonuses and short-term incentives, accompanied by a relative decline in base salaries. Moreover, companies demonstrated increased sensitivity to employee well-being, adopting flexible work arrangements and prioritising health and safety. These outcomes suggest that the pandemic catalysed both structural and philosophical changes in remuneration practices. The study contributes to the existing body of knowledge by offering a sector-specific analysis of how global disruptions can reshape compensation frameworks, thereby informing future corporate governance and human resource strategies.
Across the globe and particularly in the developing country settings, there has been an upsurge of interests from businesses, academics and policy-makers alike in understanding the relationship between corporate board characteristics and governance practices of State-Owned Enterprises (SOEs). This understanding especially in post-pandemic era would aid in formulating best policies for optimal performance of the SOEs. The aim of this study was to investigate the influence of board characteristics on corporate governance practices in SOEs in Ghana. Utilizing a structured questionnaire, data was collected from employees across various SOEs and analysed through Smart-PLS structural equation modelling. The findings indicate that board demographic characteristics have a significantly positive impact on governance practices, underscoring the importance of diversity in board composition. This outcome highlights the need for SOE policymakers to prioritize board diversity to enhance governance efficacy. This research enriches the literature on corporate governance in the developing country context and has practical implications for enhancing SOE management and performance. It also provides a foundation for future research to explore the dynamics of board characteristics in different contexts.
This paper aims to examine the effect of corporate governance (CG) on firm performance (FP). The 3SLS (Three-Stage Least Squares) regressions were performed on a system of equations based on a panel dataset of 1,768 firm-years of Thai-listed companies from 2014 to 2020. This is to assess the simultaneous linear/curvilinear relationships between CG and FP. We found that internal CG mechanisms (i.e., the board size, institutional ownership, and dividend policy) are significantly related to firm performance measured by return on equity (ROE), return on assets (ROA), and price-to-book ratio/Tobin’s Q (PBR). Board size exhibits a curvilinear relationship rather than a linear relationship with FP. This reflects the integration between resource dependency theory and stewardship theory. Relative to ROE and ROA, a board size of 10 is optimal (which is associated with a peak ROE of 14.8% and a peak ROA of 3.4%. A board size greater than ten would see a fall in ROE and ROA. Relative to PBR, a board size of 12 is optimal, with a peak PBR of 2.39 times. This study further identifies a ranking of effective CG mechanisms.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |