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: 3 / 3 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 01:06 UTC — 22 Oct 2026 01:51 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 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 3 / 3 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): 2026-10-22T01:06:16.152678+00:00 — 2026-10-22T01:51:10.926015+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 1 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 |
|---|---|
| 2022 | 1 |
| 2025 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 3 | 2 | 1 | 3/3 | 0.67 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study examines how soft skills enhance the audit committee effectiveness in South African municipalities. The paper adopts the positivist paradigm and a quantitative technique. Surveys were conducted using questionnaires, and data was collected from 87 participants using purposive sampling. Data were analysed using the exploratory factor analysis with the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) value of 0.716 level and descriptive statistics which indicates that the audit committee's soft skills demonstrate commitment to understanding the operations. The paper’s finding is connected to audit committees in charge of the public sector. The paper highlights the need for improved audit committee soft skills for good judgement, objectivity and honesty, a high level of ethics, strong communication skills, and freedom from undue influence or intimidation. Further research is needed to examine the role of soft skills on auditors and management in South African municipalities. The Study recommends enhancing audit committee effectiveness in South African municipalities through structured soft skills training and mandatory governance reforms. This includes training programs on leadership and stakeholder engagement, soft skills assessments in audit committee selection, and professional certifications for audit committees. This study addresses a significant gap in the literature by specifically focusing on audit committee soft skills.
This study aims to analyze S.C.O.R.R.E. (stimulus, capability, opportunity, capability, cooperation, and ego) as the cause of financial statement fraud. The study was conducted on B.U.M.N. companies in Indonesia as a population with published financial statement analysis units with a total of 122 as samples obtained by purposive sampling technique after being selected for the period 2014-2018 (five years). The Binary Logistics regression technique is used in analyzing data with the dependent variable using a nominal scale (0-1) as a measurement of financial statement fraud. The study concludes that not all measurement dimensions are predicted to affect the occurrence of fraud in financial statements, while measurements using other dimensions prove a significant influence on the event of financial statement manipulation. The study results provide a reference to the potential for preventing financial statement fraud by identifying several measurement dimensions that can trigger financial statement fraud. Research using Binary Logistics regression would be better confirmed through observation, either by interview or primary data that supports and predicts the results of the analysis that was not carried out in this study, so the conclusions obtained have not fully concluded the existing phenomena.
The conception of corporate governance practices remains a challenge across state entities in developing countries including South Africa. Corporate governance principles such as accountability, responsibility, reliability, ethical standards are core elements of effective and quality performance that spurs quality delivery of primary services. Positivism strategy aided by quantitative primary data was applied. Empirical data was collected through the administration of questionnaires to geographically dispersed 106 participants who were randomly and purposively selected. The authors used a structured questionnaires aided by quantitatively analyses through the Statistical Package for Social Sciences (SPSS) version 25.0. Key findings on this paper revealed that all the corporate governance principles contribute to entity’s performance. However, “fairness” largely contributes more to the level of performance. The study recommends policy makers and consultants need to embark on awareness campaigns through educational programmes.
The conception of corporate governance practices remains a challenge across state entities in developing countries including South Africa. Corporate governance principles such as accountability, responsibility, reliability, ethical standards are core elements of effective and quality performance that spurs quality delivery of primary services. Positivism strategy aided by quantitative primary data was applied. Empirical data was collected through the administration of questionnaires to geographically dispersed 106 participants who were randomly and purposively selected. The authors used a structured questionnaires aided by quantitatively analyses through the Statistical Package for Social Sciences (SPSS) version 25.0. Key findings on this paper revealed that all the corporate governance principles contribute to entity’s performance. However, “fairness” largely contributes more to the level of performance. The study recommends policy makers and consultants need to embark on awareness campaigns through educational programmes.
This study examines how soft skills enhance the audit committee effectiveness in South African municipalities. The paper adopts the positivist paradigm and a quantitative technique. Surveys were conducted using questionnaires, and data was collected from 87 participants using purposive sampling. Data were analysed using the exploratory factor analysis with the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) value of 0.716 level and descriptive statistics which indicates that the audit committee's soft skills demonstrate commitment to understanding the operations. The paper’s finding is connected to audit committees in charge of the public sector. The paper highlights the need for improved audit committee soft skills for good judgement, objectivity and honesty, a high level of ethics, strong communication skills, and freedom from undue influence or intimidation. Further research is needed to examine the role of soft skills on auditors and management in South African municipalities. The Study recommends enhancing audit committee effectiveness in South African municipalities through structured soft skills training and mandatory governance reforms. This includes training programs on leadership and stakeholder engagement, soft skills assessments in audit committee selection, and professional certifications for audit committees. This study addresses a significant gap in the literature by specifically focusing on audit committee soft skills.
This study aims to analyze S.C.O.R.R.E. (stimulus, capability, opportunity, capability, cooperation, and ego) as the cause of financial statement fraud. The study was conducted on B.U.M.N. companies in Indonesia as a population with published financial statement analysis units with a total of 122 as samples obtained by purposive sampling technique after being selected for the period 2014-2018 (five years). The Binary Logistics regression technique is used in analyzing data with the dependent variable using a nominal scale (0-1) as a measurement of financial statement fraud. The study concludes that not all measurement dimensions are predicted to affect the occurrence of fraud in financial statements, while measurements using other dimensions prove a significant influence on the event of financial statement manipulation. The study results provide a reference to the potential for preventing financial statement fraud by identifying several measurement dimensions that can trigger financial statement fraud. Research using Binary Logistics regression would be better confirmed through observation, either by interview or primary data that supports and predicts the results of the analysis that was not carried out in this study, so the conclusions obtained have not fully concluded the existing phenomena.
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 |