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: 21 / 21 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 15:58 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.
21 / 21 with data · 0 missing or unmatched. Percentages use all 21 selected publications.
21 / 21 with data · 0 missing or unmatched. Percentages use all 21 selected publications.
21 / 21 with data · 0 missing or unmatched. Percentages use all 21 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 |
|---|---|---|---|---|---|
| 2015 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 9 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 3 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 24 | 2 | 2/2 | 2/2 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 29 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 18 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 12 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 4 | 5 | 5/5 | 5/5 |
| 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 21 / 21 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): 2026-10-21T07:22:47.407039+00:00 — 2026-10-23T15:58:58.225123+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 | 2 | 21 | 21/21 |
| 2018 | All selected publications | 4 | 21 | 21/21 |
| 2019 | All selected publications | 3 | 21 | 21/21 |
| 2020 | All selected publications | 7 | 21 | 21/21 |
| 2021 | All selected publications | 9 | 21 | 21/21 |
| 2022 | All selected publications | 14 | 21 | 21/21 |
| 2023 | All selected publications | 17 | 21 | 21/21 |
| 2024 | All selected publications | 21 | 21 | 21/21 |
| 2025 | All selected publications | 12 | 21 | 21/21 |
| 2026 | All selected publications | 6 | 21 | 21/21 |
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 |
|---|---|
| 2015 | 2 |
| 2017 | 1 |
| 2019 | 2 |
| 2021 | 3 |
| 2022 | 2 |
| 2023 | 2 |
| 2024 | 3 |
| 2025 | 5 |
| 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 Research in Business and Social Science SSBFNET | 21 | 40 | 96 | 21/21 | 1.9 | 1 | 61.9 | 21/21 · 100.0% |
* Percentage among publications with a known citation count.
The key purpose of this research paper is to explore the moderating effect of Corporate Governance on the relationship between accounting base financial performance i.e. ROA, and ROE and Capital Structure of 173 Manufacturing firms listed in KSE of Pakistan for the period of 2009 to 2014. In this study multiple regression method is used under fixed effect regression model approach on panel data. The empirical results show that the inclusion of Corporate Governance Index (CGI) as moderating variable has influenced the interaction between Capital Structure and Financial Performance which was positively significant. The result is generally found that the most of Pakistani manufacturing listed firms pursue good corporate governance mechanism and use good and optimal level of Capital Mix to get the better and high financial performance. Furthermore, the corporate governance sub-indices i.e. board structure (BOD-I) and transparency & disclosure (DISC-III) both also have positive and statistically significant association with both firms performance variables: ROA and ROE. Moreover, the ownership structure sub-index (OWS-II) has not significant influence on financial performance. In last, the capital structure also has positive relationship with financial performance, interestingly about 70 per cent of Capital is financed by Equity capital and the Debt capital signifies 30 per cent only. The core significance of this paper is to investigate the impact of Corporate Governance practices on financial decisions from the Pakistani perspective.
Determining the optimal capital structure is one of the most fundamental policy decisions faced by financial managers. Since optimal debt ratio influences firm’s value, different firms determine capital structures at different levels to maximize the value of their firms. Thus, this study examines the relationship between leverage and firm specific (profitability, tangibility, growth, risk, size and liquidity) determinants of capital structure decision, and the theories of capital structure that can explain the capital structure of banks in Ethiopia. In order to investigate these issues a mixed method research approach is utilized, by combining documentary analysis and in-depth interviews. More specifically, the study uses twelve years (2000 - 2011) data for eight banks in Ethiopia. The findings show that profitability, size, tangibility and liquidity of the banks are important determinants of capital structure of banks in Ethiopia. However, growth and risk of banks are found to have no statistically significant impact on the capital structure of banks in Ethiopia. In addition, the results of the analysis indicate that pecking order theory is pertinent theory in Ethiopian banking industry, whereas there are little evidence to support static trade-off theory and the agency cost theory. Therefore, banks should give consideration to profitability, size, liquidity and tangibility when they determine their optimum capital structure.
This study examined the long-run effect of financial leverage on firm value with evidence from a sample of 62 firms quoted on the Nigerian Stock Exchange, over the five-year period between 2014-2018. The level of financial leverage as measured by the Debt-Equity ratio while firm value was represented by Tobin’s Q Market-Book Value Ratio. The study contributes to the literature by appraising the dynamic dimensions of the causal relationship between firm value and financial leverage, an investigation that has remained elusive in indigenous studies. The study determined the degree of long-term causality by employing an auto-regressive model estimated by the Generalized Method of Moments (GMM) technique. The regression results show that financial leverage has a significant positive effect on the firm value both in the short and long run, while the result of the correlation analysis carried out reveals that there is a significantly positive and strong linear relationship between the time series of firm value and its lagged version implying that firm value does not demonstrate traits of Mean reversion. The Management of these companies was advised to optimize firm value by undertaking quality projects and relying more on debts for funding.
Critical to the success of financial institutions' performance is there Capital Structure. The study aimed to, investigate the effect of two capital structure determinants, leverage, and firm size on financial performance as measured by Return on Assets of Deposit Taking Savings and Credit Cooperative Societies in Kenya. The study was grounded on Tradeoff, Pecking order, and Mogdiliani and Miller capital structure theories. A positivist approach was adopted utilizing a mixed-method research design. The population of the research study was 174 Deposit Taking Savings and Credit Cooperative Societies from whom primary and secondary data was collected. A stratified and purposive sampling technique was employed. Descriptive statistics and a regression model were used to analyze the data. The results revealed that firm size had a significant and positive effect on financial performance, whereas Leverage, had a significant but negative effect on financial performance. The study recommends having in place an Assets and Liabilities committee in each Deposit Taking Savings and Credit Cooperative Society that would help manage the assets and liabilities of the institution, ensuring sound liquidity and cash flow management. Critical factors that contribute to a firm size such as increased membership, deposits mobilization amongst others need to be addressed.
This study analyses the impact of transaction exposure, firm size, and liquidity on firm value with leverage as a mediating variable in on Consumer Non-Cylicals Sector Companies Listed on the Indonesia Stock Exchange from 2018 to 2023. Using Signalling Theory and Trade-off Theory as theoretical frameworks, the research employs path analysis to evaluate the relationships between variables. The findings reveal that transaction exposure, firm size, and liquidity have a positive significant effect on firm value. Conversely, leverage shows a negative significant impact on firm value, suggesting that excessive debt increases financial risk, thereby reducing firm value. Moreover, the study indicates that leverage does not mediate the effects of transaction exposure, firm size, or liquidity on firm value. These results highlight the importance for companies to prioritize managing liquidity and capital structure effectively to optimize firm value. Excessive use of debt should be minimized to avoid diminishing profitability and reducing market value, especially for firms with high exposure to international transactions.
The aim of this study is to investigate the moderating role of cultural dimensions in the relationship between corporate governance mechanisms and financial performance, examining a sample of 9,316 companies from 47 countries. A mixed dataset with variables extracted at the company and country levels is statistically analysed, while multilevel robust regressions with random intercept modelling are used for econometric estimations. Based on information for the period 2020-2022, the moderating effects of three of the six cultural dimensions developed by Hofstede are examined at specific times of multiple constraints that could act as a stress factor in management decisions. The results show that the corporate governance-performance nexus is stronger in countries orientated toward masculinity, short-term benefits, and indulgence. Combining national cultural values, the national business system framework, agency, stakeholder, and legitimacy theories, the research provides nuanced empirical evidence of cultural tingent for academics and practitioners. The investigation shapes an original perspective, highlighting the need for culturally orientated corporate governance mechanisms. This approach complements the body of literature on corporate governance, financial performance, and national culture by demonstrating that the interaction between the governance score and cultural dimensions may play a pivotal role in shaping financial performance. Muchmore, the findings have valuable entrepreneurial implications for investors in resource allocation, while managers could broaden their scenarios for decision-making purposes, especially when companies face stakeholders from diverse cultural backgrounds.
This study investigates the relationship between corporate governance and firm performance in the Bangladeshi insurance sector, focusing on variables like board independence, female directors, audit committee size, leverage, and firm age. Using a sample of 42 insurance firms from 2017 to 2021, regression analysis is employed to assess these relationships. The findings show that board independence positively impacts performance, while audit committee size, leverage, and firm age have negative effects. Female directors exhibit a marginal but weak positive influence. This research contributes to the literature by providing empirical evidence from a developing economy, where limited studies exist. It also offers insights into governance practices in emerging markets. The implications suggest that policymakers and corporate leaders in Bangladesh should prioritize enhancing board independence, managing leverage, and promoting gender diversity to improve performance. Future research could explore causal relationships and extend the analysis to other sectors or emerging markets, considering cultural and regulatory factors.
The spate of failures and scandals in the basic materials sector in South Africa and globally bring into question not only the ethics of business leaders but primarily corporate governance and the role of boards in safeguarding the shareholders' wealth. The aim of the study was to ascertain the relationship between corporate governance and firm profitability of firms in the basic materials sector listed on the Johannesburg Stock Exchange. Five corporate governance characteristics are observed on two profitability measures, return on assets and return on equity and Tobin’s Q as the market indicator using a cross-sectional time-series panel data method of 54 firms in the basic materials sector listed on the JSE from 2017 to 2021. A regression analysis model is used to ascertain whether and to what degree a relationship exists between corporate governance and firm profitability within JSE-listed basic materials sector firms. The results show that corporate governance characteristics have a mixed impact on firm profitability, with some indicating a negative or no significant relationship, highlighting the complexity of this association. This study proves that if a firm chooses suitable corporate governance characteristics, the profitability of a firm can be enhanced. The outcome of this study should have implications for academic thoughts for further research on this subject and calls for a more concerted effort for boards to implement more prudent corporate governance mechanisms to future-proof the business of the basic materials sector.
This study investigates the relationship between banks' corporate governance practice and its impact on financial sustainability. In this study, twenty-four private commercial banks' data have been analyzed from 2014 to 2023. Our investigations included a variety of econometric models, including cross-sectional GLS, fixed effect, random effect, and pooled OLS. In our study, we found that including women on the Board of directors plays a positive role in ensuring the financial sustainability of banking sectors in Bangladesh. Apart from that, increasing the participation of independent directors on the board of directors, expenditures in research and development in the best banking practices, and inflation positively increase banks' profitability, which translates into financial sustainability. This finding is consistent with the findings of the random effect model. On the other hand, whenever we used ROE as an explained variable, we found that both in pooled OLS and random effect methods, board diversity, CEO tenure, firms audited by the big four firms, and inflation have a positive association with ROE. In the fixed effect method, we observed that audit committee size and ownership concentration play a vital role in explaining the financial sustainability of private commercial banks in Bangladesh. In the FGLS method, We found that CEO tenure, age of the firm, firms audited by the big four firms, presence of the independent director on the board, and inflations significantly impact the financial sustainability of commercial banks of Bangladesh.
The purpose of this paper is to systematically examine studies on the relationship between corporate governance, organizational culture and firm performance, with the aim of knowing the potential for future research. The literature search consisted of two steps: a random literature review and a systematic literature review. The methodology adopted in this article is a systematic literature review. The Organizational Culture variable is an opportunity for research which is thought to be able to strengthen the relationship between corporate governance and firm performance, ownership structure and Board Characteristics which can be used as a proxy for corporate governance using resource based theory (RBV), resource dependence theory and agency theory, where research related to governance is an issue that is still very relevant to research at this time. Practical Implications, the development of a conceptual framework using resource-based theory (RBV) and resource dependence theory has implications for researchers to study by including organizational culture which is thought to influence company performance. Future research can add or replace it with other more relevant variables, so that it can be empirically tested how the relationship between corporate governance and firm performance and the organizational culture variable as a moderating variable. Future research is expected to give contribution for policy makers, company managers and investors in understanding important factors in order to create a good corporate governance.
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 |