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: 5 / 5 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 — 27 Oct 2026 19:03 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 7 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 9 | 5 | 5/5 | 5/5 |
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 5 / 5 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): 2026-10-21T07:22:46.708463+00:00 — 2026-10-27T19:03:17.918412+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 1 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 1 | 5 | 5/5 |
| 2025 | All selected publications | 4 | 5 | 5/5 |
| 2026 | All selected publications | 2 | 5 | 5/5 |
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 | 5 |
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 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 6 | 8 | 4/4 | 1.5 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The study's objective was to analyse the relationship between corporate governance attributes and financial reporting quality from a developing country perspective. Data was collected through quantitative content analysis of annual reports and audited financial statements (2012 to 2018) of Zambian-listed companies. This was a longitudinal study that involved panel data analysis. Therefore, a Hausman test was conducted to select the model to use. Panel regression analysis was used as a data analysis technique. Results show a statistically significant positive relationship between board size and financial reporting quality. A positive but statistically insignificant relationship existed between board accounting expertise, board gender diversity, audit committee independence and financial reporting quality. A negative but insignificant relationship existed between board independence and financial reporting quality. The corporate governance system alone cannot guarantee quality financial information by reporting entities. This could be related to the lack of an effective corporate governance system. Therefore, authorities must consider strengthening the regulatory enforcement mechanisms to ensure that companies achieve high financial reporting quality.
This study evaluates resources allocated for risk management by business organisations (financial and non-financial firms) in developing countries, using Zambia as a case study. Primary data collected from 158 organisations were analysed using MegaStat. The findings revealed that the majority (54.5%) of organisations, especially non-financial institutions, only commit resources to risk mitigation on an Adhoc or post-event basis, while 45.5% showed a budgeted approach. A significant part of the budgeted 45.5% was used for risk management activities, and 54.5% was used for regular daily operations. Despite this variation, all organisations engaged reported a significant expenditure on risk management, at least on Adhoc. At 4 degrees of freedom (df), which was one less than the total number of possible outcomes, a non-parametric test for significance yielded a scientific P-value of 1.57e-0.7, (a numerical magnitude of 0.0014, P< 0.05). This suggests that the correlation and pattern of the findings were not random or by chance, but they carried a statistical significance. The study's main findings demonstrate that some business organisations in Zambia and other developing countries incur significant expenditure with a higher portion of their budgets to respond to risk management needs. Business organisations which do not have formal risk structures do so informally due to pressure from emerging business risks. The findings also indicated that financial institutions in developing countries allocate more resources towards risk management than non-financial institutions. The Phi coefficient (degree of association) was 0.486, showing a moderately significant relationship between the variables (risk management and resource allocation). Business organisations in Zambia and other developing nations must develop sound risk mitigation plans and allocate resources for risk management.
This study aims to review values congruence in supply chain management. Values congruence, commonly described by researchers as the sameness of object, idea, and people, are challenging to identify, measure and prove because values are inherent intangibles in people and only seen in one’s behaviour. As an exploratory study, this paper concentrated on the supply chain management process critical path identified as specifications, sourcing, evaluation, adjudication, contract management, and administration. The study also aims to investigate the extent of values congruence at every supply chain management critical path stage. The data were coded, organized, and analyzed by applying the principles of the content analysis method. The main findings in this study revealed that Value congruence increased performance and projected profits, the environment, and society on the one hand. On the other hand, values incongruence contributed to poor organizational performance, malpractices, corruption, bankruptcy, and liquidations.
The article examined corporate governance's effects on the performance of cement-producing companies in Zambia. Assessing the performance of one of the manufacturing segments of the manufacturing industry because of the effects of corporate governance was detrimental to findings on why there is limited growth in the industry. The study specifically assessed the effects of board size, board independence, CEO duality, multiple directorships, and board tenure on the company's performance. A deductive approach strategy was used, which focused on four leading cement-producing companies in Zambia: Lafarge, Dangote, Sinoma, and Zambezi Portland. A sample population of 150 participants was targeted. Questionnaires collected primary and secondary data from the company’s audited reports. This study used the principal components analysis, correlation, and regression analysis using SPSS version 27. The study found and concluded a positive correlation and effect between multiple directorships and board independence on the company's performance. CEO duality positively impacted the company's performance, but it was not statistically significant. On the other hand, it was concluded and found that board tenure and board size had a negative effect on the company's performance. This implied that they had a reducing impact on the performance of the companies in the cement manufacturing industry. Cement companies should tailor the size of their boards to meet their unique requirements, even though board size and tenure have a negative and statistically significant effect on performance.
The study assessed the possibility of accounting fraud among Zambian listed companies with a focus on the mining sector and the relationship between related party transactions (RPTs) and financial statement manipulation (FSM). The financial statements (2012 to 2020) of listed companies were analysed to detect accounting fraud using the M-score and the Z-score. Descriptive statistics were used to explain the extent of FSM. The Chi-Square test of independence was employed to test the relationship between FSM and RPTs. Both the Z-Score and M-Score indicate that the mining companies were possibly involved in FSM. There is a relationship between the FSM and RPTs. The Total Accruals to Total Assets, Days in Sales in Receivables Index and Sales Growth Index show that revenue and profits were the most manipulated. The RPTs disclosures were the lowest for mining companies. Relevant authorities should not neglect FSM as a form of fraud despite the routine external audit of financial statements. There is the potential loss of tax revenue through accounting fraud.
This study aims to review values congruence in supply chain management. Values congruence, commonly described by researchers as the sameness of object, idea, and people, are challenging to identify, measure and prove because values are inherent intangibles in people and only seen in one’s behaviour. As an exploratory study, this paper concentrated on the supply chain management process critical path identified as specifications, sourcing, evaluation, adjudication, contract management, and administration. The study also aims to investigate the extent of values congruence at every supply chain management critical path stage. The data were coded, organized, and analyzed by applying the principles of the content analysis method. The main findings in this study revealed that Value congruence increased performance and projected profits, the environment, and society on the one hand. On the other hand, values incongruence contributed to poor organizational performance, malpractices, corruption, bankruptcy, and liquidations.
The article examined corporate governance's effects on the performance of cement-producing companies in Zambia. Assessing the performance of one of the manufacturing segments of the manufacturing industry because of the effects of corporate governance was detrimental to findings on why there is limited growth in the industry. The study specifically assessed the effects of board size, board independence, CEO duality, multiple directorships, and board tenure on the company's performance. A deductive approach strategy was used, which focused on four leading cement-producing companies in Zambia: Lafarge, Dangote, Sinoma, and Zambezi Portland. A sample population of 150 participants was targeted. Questionnaires collected primary and secondary data from the company’s audited reports. This study used the principal components analysis, correlation, and regression analysis using SPSS version 27. The study found and concluded a positive correlation and effect between multiple directorships and board independence on the company's performance. CEO duality positively impacted the company's performance, but it was not statistically significant. On the other hand, it was concluded and found that board tenure and board size had a negative effect on the company's performance. This implied that they had a reducing impact on the performance of the companies in the cement manufacturing industry. Cement companies should tailor the size of their boards to meet their unique requirements, even though board size and tenure have a negative and statistically significant effect on performance.
The study assessed the possibility of accounting fraud among Zambian listed companies with a focus on the mining sector and the relationship between related party transactions (RPTs) and financial statement manipulation (FSM). The financial statements (2012 to 2020) of listed companies were analysed to detect accounting fraud using the M-score and the Z-score. Descriptive statistics were used to explain the extent of FSM. The Chi-Square test of independence was employed to test the relationship between FSM and RPTs. Both the Z-Score and M-Score indicate that the mining companies were possibly involved in FSM. There is a relationship between the FSM and RPTs. The Total Accruals to Total Assets, Days in Sales in Receivables Index and Sales Growth Index show that revenue and profits were the most manipulated. The RPTs disclosures were the lowest for mining companies. Relevant authorities should not neglect FSM as a form of fraud despite the routine external audit of financial statements. There is the potential loss of tax revenue through accounting fraud.
The study's objective was to analyse the relationship between corporate governance attributes and financial reporting quality from a developing country perspective. Data was collected through quantitative content analysis of annual reports and audited financial statements (2012 to 2018) of Zambian-listed companies. This was a longitudinal study that involved panel data analysis. Therefore, a Hausman test was conducted to select the model to use. Panel regression analysis was used as a data analysis technique. Results show a statistically significant positive relationship between board size and financial reporting quality. A positive but statistically insignificant relationship existed between board accounting expertise, board gender diversity, audit committee independence and financial reporting quality. A negative but insignificant relationship existed between board independence and financial reporting quality. The corporate governance system alone cannot guarantee quality financial information by reporting entities. This could be related to the lack of an effective corporate governance system. Therefore, authorities must consider strengthening the regulatory enforcement mechanisms to ensure that companies achieve high financial reporting quality.
This study evaluates resources allocated for risk management by business organisations (financial and non-financial firms) in developing countries, using Zambia as a case study. Primary data collected from 158 organisations were analysed using MegaStat. The findings revealed that the majority (54.5%) of organisations, especially non-financial institutions, only commit resources to risk mitigation on an Adhoc or post-event basis, while 45.5% showed a budgeted approach. A significant part of the budgeted 45.5% was used for risk management activities, and 54.5% was used for regular daily operations. Despite this variation, all organisations engaged reported a significant expenditure on risk management, at least on Adhoc. At 4 degrees of freedom (df), which was one less than the total number of possible outcomes, a non-parametric test for significance yielded a scientific P-value of 1.57e-0.7, (a numerical magnitude of 0.0014, P< 0.05). This suggests that the correlation and pattern of the findings were not random or by chance, but they carried a statistical significance. The study's main findings demonstrate that some business organisations in Zambia and other developing countries incur significant expenditure with a higher portion of their budgets to respond to risk management needs. Business organisations which do not have formal risk structures do so informally due to pressure from emerging business risks. The findings also indicated that financial institutions in developing countries allocate more resources towards risk management than non-financial institutions. The Phi coefficient (degree of association) was 0.486, showing a moderately significant relationship between the variables (risk management and resource allocation). Business organisations in Zambia and other developing nations must develop sound risk mitigation plans and allocate resources for risk management.
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 |