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, 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: 22 Oct 2026 01:22 UTC — 22 Oct 2026 07:23 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 |
|---|---|---|---|---|---|
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 2 | 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 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 4 | 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 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
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): 2026-10-22T01:22:46.375686+00:00 — 2026-10-22T07:23:24.613855+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 | 2 | 4 | 4/4 |
| 2020 | All selected publications | 1 | 4 | 4/4 |
| 2021 | All selected publications | 2 | 4 | 4/4 |
| 2022 | All selected publications | 1 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 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 |
|---|---|
| 2016 | 1 |
| 2021 | 1 |
| 2026 | 2 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 3 | 7 | 2/2 | 1.5 | 1.5 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to investigate budget related antecedents of job performance of managers. For this purpose, the effect of budgetary participation, budget goal commitment and information sharing on job performance of managers were examined. The sample consists of 104 managers who are responsible from the budgets of their units in different private enterprises. Most of these enterprises are operating in automotive sector and located in Marmara Region of Turkey. Survey data was analyzed with confirmatory factor analyses and Structural Equation Modeling. Results indicate that budgetary participation has statistically significant and positive impact on job performance. It also positively affects budget goal commitment and information sharing. Budget goal commitment and information sharing have significant and positive impact on job performance. In addition, budget goal commitment positively affects information sharing of managers. Analyses also revealed that budget goal commitment and information sharing have partial mediation effect on the relationship between budgetary participation and job performance.
As Covid-19 lockdown forced firms to organize work differently, for example, managing people remotely. Despite the benefits may a firm obtain in adopting new business tools like remote management, but providing assurance that internal control function in an efficient manner is important for a firm; that is because there is a growing interest in internal control issues. It is very important to determine how the remote working model, which emerged during the Covid 19 pandemic process, has changed the accounting processes of businesses. The aim of this study is to propose an internal control model under factors such as remote management, risk assessment, control activities, information and communication, and observation. The data in the research were obtained from the experts in our sample by using the survey method. Our sample consists of managers, supervisors, and academics. The data obtained were evaluated with the Smart-PLS version 3.2.9 program. Findings highlight a positive relationship between control activities and remote management.
This study aimed to examine the impact of the internal control system (ICS) on the performance of publicly traded Ghanaian commercial banks, within the context of the core components of the COSO integrated ICS. Accordingly, the study investigated employees' perceptions of the impact of the ICS components on financial performance-FP and non-financial performance-NFP and whether a significant relationship exists between these perceptions. In the study, the core components of the COSO’s ICS (control environment, risk assessment, control activities, information-communication, monitoring) were considered as independent variables, while FP and NFP of the banks were considered as the dependent variables. In line with the study's objective, the hypotheses were designed as follows: H1: The ICS has an impact on the FP. H2: The ICS has an impact on the NFP. Methodologically, a descriptive online survey method was used to collect data. The survey was sent to 113 managers and employees working in the internal control and audit departments of 23 listed Ghanaian banks, and 73 employees, representing 64.6%, provided voluntary feedback. Data were analyzed using SPSS-25. The survey, which was suitable for a 5-point Likert scale, included statements regarding COSO internal control components and FP and NFP. The study revealed that there were no differences in FP among the ICSs but there were differences in NFP among the ICS. The study concluded a statistically significant relationship between the ICS and FP overall. Additionally, compared to other components whose impact on FP was limited, the COSO Information-Communication component indicated the highest significant relationship with FP and the greatest positive impact, while the control activities component had an inverse effect on FP. Furthermore, the study also revealed a significant overall relationship between the ICS and NFP. In addition, compared to other components whose impact on NFP was much more limited, the COSO Information-Communication component showed the highest significant relationship with NFP and the highest positive impact on NFP. This study is considered to contribute to the literature and to investors, shareholders, policymakers, etc., by examining all factors together, such as the impact of COSO internal control components on FP and NFP, and the internal control and audit department staff at the headquarters and branches of listed Ghanaian commercial banks.
This study mainly aimed to examine the impact of the effectiveness of the internal control system on store performance through the example of D&R Store in the retail media sector in Türkiye. In the study, it was investigated whether the effectiveness of the internal control system has a significant and positive effect on the perception of store performance through the COSO internal control components. It was also investigated whether these perceptions differed according to demographic characteristics. Methodologically, a descriptive online survey method including a questionnaire prepared in accordance with the 5-point Likert scale was used to collect data. 302 employees responded to the survey included statements regarding demographic characteristics and COSO’s main internal control components. The data were analyzed with SPSS-22. The study concluded that all COSO internal control components (control environment, risk assessment, control activities, information-communication, monitoring) have a positive and significant effect on store’s performance perception. Furthermore, the study revealed that these perceptions differed according to demographic characteristics. While statistically significant differences in perceptions were found according to demographic characteristics such as gender, job position, and years of professional experience, no significant differences were found based on demographic criteria such as age and educational level. The study is considered to contribute to the literature because it is the first study to investigate the impact of the effectiveness of the COSO internal control system components on store performance together with the example of D&R Store in the retail media sector. The study is limited by the selected sample store, number of participants, survey questions-answers, the applied statistical analysis methods and tests. Therefore, in order to reach more general results, it is suggested to expand the studies with more diverse and larger numbers of stores in the retail media sector, employees, survey questions and statistical methods.
This study aimed to examine the impact of the internal control system (ICS) on the performance of publicly traded Ghanaian commercial banks, within the context of the core components of the COSO integrated ICS. Accordingly, the study investigated employees' perceptions of the impact of the ICS components on financial performance-FP and non-financial performance-NFP and whether a significant relationship exists between these perceptions. In the study, the core components of the COSO’s ICS (control environment, risk assessment, control activities, information-communication, monitoring) were considered as independent variables, while FP and NFP of the banks were considered as the dependent variables. In line with the study's objective, the hypotheses were designed as follows: H1: The ICS has an impact on the FP. H2: The ICS has an impact on the NFP. Methodologically, a descriptive online survey method was used to collect data. The survey was sent to 113 managers and employees working in the internal control and audit departments of 23 listed Ghanaian banks, and 73 employees, representing 64.6%, provided voluntary feedback. Data were analyzed using SPSS-25. The survey, which was suitable for a 5-point Likert scale, included statements regarding COSO internal control components and FP and NFP. The study revealed that there were no differences in FP among the ICSs but there were differences in NFP among the ICS. The study concluded a statistically significant relationship between the ICS and FP overall. Additionally, compared to other components whose impact on FP was limited, the COSO Information-Communication component indicated the highest significant relationship with FP and the greatest positive impact, while the control activities component had an inverse effect on FP. Furthermore, the study also revealed a significant overall relationship between the ICS and NFP. In addition, compared to other components whose impact on NFP was much more limited, the COSO Information-Communication component showed the highest significant relationship with NFP and the highest positive impact on NFP. This study is considered to contribute to the literature and to investors, shareholders, policymakers, etc., by examining all factors together, such as the impact of COSO internal control components on FP and NFP, and the internal control and audit department staff at the headquarters and branches of listed Ghanaian commercial banks.
This study mainly aimed to examine the impact of the effectiveness of the internal control system on store performance through the example of D&R Store in the retail media sector in Türkiye. In the study, it was investigated whether the effectiveness of the internal control system has a significant and positive effect on the perception of store performance through the COSO internal control components. It was also investigated whether these perceptions differed according to demographic characteristics. Methodologically, a descriptive online survey method including a questionnaire prepared in accordance with the 5-point Likert scale was used to collect data. 302 employees responded to the survey included statements regarding demographic characteristics and COSO’s main internal control components. The data were analyzed with SPSS-22. The study concluded that all COSO internal control components (control environment, risk assessment, control activities, information-communication, monitoring) have a positive and significant effect on store’s performance perception. Furthermore, the study revealed that these perceptions differed according to demographic characteristics. While statistically significant differences in perceptions were found according to demographic characteristics such as gender, job position, and years of professional experience, no significant differences were found based on demographic criteria such as age and educational level. The study is considered to contribute to the literature because it is the first study to investigate the impact of the effectiveness of the COSO internal control system components on store performance together with the example of D&R Store in the retail media sector. The study is limited by the selected sample store, number of participants, survey questions-answers, the applied statistical analysis methods and tests. Therefore, in order to reach more general results, it is suggested to expand the studies with more diverse and larger numbers of stores in the retail media sector, employees, survey questions and statistical methods.
As Covid-19 lockdown forced firms to organize work differently, for example, managing people remotely. Despite the benefits may a firm obtain in adopting new business tools like remote management, but providing assurance that internal control function in an efficient manner is important for a firm; that is because there is a growing interest in internal control issues. It is very important to determine how the remote working model, which emerged during the Covid 19 pandemic process, has changed the accounting processes of businesses. The aim of this study is to propose an internal control model under factors such as remote management, risk assessment, control activities, information and communication, and observation. The data in the research were obtained from the experts in our sample by using the survey method. Our sample consists of managers, supervisors, and academics. The data obtained were evaluated with the Smart-PLS version 3.2.9 program. Findings highlight a positive relationship between control activities and remote management.
This study aims to investigate budget related antecedents of job performance of managers. For this purpose, the effect of budgetary participation, budget goal commitment and information sharing on job performance of managers were examined. The sample consists of 104 managers who are responsible from the budgets of their units in different private enterprises. Most of these enterprises are operating in automotive sector and located in Marmara Region of Turkey. Survey data was analyzed with confirmatory factor analyses and Structural Equation Modeling. Results indicate that budgetary participation has statistically significant and positive impact on job performance. It also positively affects budget goal commitment and information sharing. Budget goal commitment and information sharing have significant and positive impact on job performance. In addition, budget goal commitment positively affects information sharing of managers. Analyses also revealed that budget goal commitment and information sharing have partial mediation effect on the relationship between budgetary participation and job performance.
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 |