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: 8 / 9 publications (88.9%). 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 07:23 UTC — 29 Oct 2026 17:50 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.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 9 | 9 | 8/9 | 9/9 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 3 | 9 | 8/9 | 9/9 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 3 | 9 | 8/9 | 9/9 |
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 9 / 9 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): 2026-10-21T07:23:02.032137+00:00 — 2026-10-29T17:50:25.294695+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 | 9 | 9/9 |
| 2018 | All selected publications | 0 | 9 | 9/9 |
| 2019 | All selected publications | 0 | 9 | 9/9 |
| 2020 | All selected publications | 0 | 9 | 9/9 |
| 2021 | All selected publications | 0 | 9 | 9/9 |
| 2022 | All selected publications | 0 | 9 | 9/9 |
| 2023 | All selected publications | 0 | 9 | 9/9 |
| 2024 | All selected publications | 0 | 9 | 9/9 |
| 2025 | All selected publications | 0 | 9 | 9/9 |
| 2026 | All selected publications | 3 | 9 | 9/9 |
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 |
|---|---|
| 2025 | 9 |
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 Finance & Banking Studies SSBFNET | 4 | 1 | 1 | 4/4 | 0.33 | 0 | 33.3 | 3/4 · 75.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 2 | 2 | 5/5 | 0.4 | 0 | 40.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
This paper examines the exchange rate pass-through (ERPT) and its impact on home inflation in Bangladesh, particularly in the post-pandemic era. Examining important economic factors including the nominal exchange rate (NER), money supply (M2), industrial production (IP), and global commodity index (GCI) using monthly data from January 2002 to August 2023 helps one to grasp their combined influence on consumer price inflation (CPI). By means of Johansen cointegration and Vector Error Correction Model (VECM) approaches, the study reveals important short-term and long-term dynamics. Contrary to patterns in many emerging nations, the results show that changes in exchange rates have apparently little impact on home prices. Rather, changes in the money supply and world commodities prices mostly influence inflation; the latter becomes a major factor. The study also exposes an unexpected positive link between industrial production and CPI, implying complexity in Bangladesh's production-driven economic structure. Moreover, this investigation underlines how complex monetary expansion, external commodities shocks, and devaluation of money interact to shape inflationary pressures. These results offer legislators important new perspectives and support strong monetary policies and focused involvement in world commodities markets to help to lower inflation. This study clarifies ERPT in developing countries and provides direction on inflation control techniques for Bangladesh.
This paper aims to explore how Traditional Healers (THs) and Traditional Birth Attendants (TBAs) support women during pregnancy, childbirth, and the postnatal period in Soweto, Johannesburg. Traditional healing remains a central part of maternal healthcare in South Africa, where cultural beliefs and accessibility influence women’s health-seeking behaviours. Using a qualitative, exploratory, and descriptive design, data were collected through key informant interviews with eight participants (five THs and three TBAs) selected through purposive sampling. Thematic analysis was employed to identify patterns in traditional knowledge, practices, and beliefs related to maternal healthcare. Findings revealed that THs and TBAs play an essential role across the maternal care continuum. In the diagnostic phase, they identify fertility challenges, breech pregnancies, and spiritual causes of illness through ancestral guidance, bone divination, and dreams. During the antenatal period, they provide herbal remedies such as isihlambezo to cleanse and strengthen the womb and perform protective rituals against witchcraft and evil spirits. In the perinatal stage, TBAs assist with labour management, delivery, and placental expulsion using culturally informed methods. Their postnatal care includes uterine cleansing, breastfeeding support, newborn care, and follow-up home visits. These practices, grounded in indigenous knowledge systems, coexist with biomedical care and remain vital due to their cultural resonance and accessibility. The study concludes that strengthening collaboration between traditional and biomedical health systems could enhance culturally sensitive, community-based approaches to maternal healthcare in South Africa.
Workplace stress and nurse retention are critical challenges in healthcare, affecting organizational stability and public health outcomes. Therefore, this study investigates the impact of stressors and job satisfaction on nurses’ turnover intentions in the western region of Ghana, with a focus on the moderating role of transformational leadership. Methodologically, a descriptive cross-sectional design was employed to collect data from 364 registered nurses working in four hospitals. Participants completed an online questionnaire measuring stress factors, job satisfaction, turnover intentions, and transformational leadership. Structural equation modelling was employed to analyze the data using Mplus 8.3. The results revealed stressors (stress from workload, superiors, and coworkers and daily life) significantly increased nurses’ turnover intentions while negatively influencing job satisfaction. Job satisfaction was inversely associated with turnover intentions, and transformational leadership moderated this relationship, reducing the likelihood of such intentions. The findings highlight the importance of fostering job satisfaction and implementing transformational leadership strategies, such as mentorship and effective stress management, to alleviate workplace stress and enhance nurse retention. These insights offer valuable guidance for hospital administrators and policymakers in designing interventions to improve nurse retention and overall organizational performance.
This is a study about the financing of large group health insurance in the United States. Almost 8 in 10 covered employees in private large firms are enrolled in self-insured (or self-funded) health plans in contrast to only 20 percent of employees in small firms. More than half of all large standard (non-supplemental) health plans are self-insured although their number is decreasing. Considering their significantly greater risk of exposure and transaction costs, the question for scholarly investigation is why (and how) do private large firms self-fund employer-sponsored health insurance? Using plan-level data from health plan administrator filings of Forms 5500 and Summary Annual Reports (2014-2022) with the U.S. Department of Labor, six variables are examined in this study relative to large group self-insurance: industry/sectoral distribution, plan size/enrollment, plan administration, benefits coverage, plan assets and investments, and statutory compliance. Findings suggest that industry/sectoral and enrollee distributions of large health plans are not widely dispersed while their assets and investments and statutory exemptions offer comparative advantages. These plans have also increasingly relied on stop-loss insurance, third-party administration, supplemental health benefits, and less major medical plans to mitigate actuarial risks that involve considerable financial exposure to fluctuating claims costs, potential for catastrophic claims, and cash flow unpredictability. The intertwining theoretical and practical implications of large group self-insurance in healthcare finance and risk management are addressed by way of conclusion.
In the loanable funds theory, the interest rate serves as a balancing factor between the savings offered for loans and the funds borrowed for investment. In Keynes’s theory, by contrast, it is a monetary phenomenon that balances the demand and the supply of money. At first glance, the monetary phenomenon of the interest rate may seem quite different and is often considered groundbreaking and revolutionary. In Keynes’s theory, people hold part of their savings in money to cope with uncertainty about the returns from long-term bonds, and it is savings held in money that leads the interest rate to be a monetary phenomenon. While people hold part of their savings in money, they also invest their savings by purchasing long-term bonds. The interest rate also balances savings offered, though only in part and not the whole, and funds borrowed in the bond market, as in the loanable funds theory. In this regard, Keynes’s theory and the loanable funds theory are not as strikingly different as it may first appear. The main exegetical work of Keynes’s ideas is Keynesian economics. In this theory, the interest rate is also a monetary phenomenon, as is expected of exegetical work. However, it is not due to savings held in money as in Keynes’s theory; rather, it is due to the cash holdings required for purchasing goods and services. This paper examines the differences among these three interest rate theories, the reasons behind them, and their practical implications.
Using a large sample of bond rating downgrades of US firms announced by the three largest rating agencies during 1997-2023, I find that cumulative abnormal stock returns (CAR) spanning the day of and day following downgrade announcements are significantly and negatively related to annual report readability, indicating that downgrades are more informative among firms with more readable annual reports. My baseline regression results indicate that a one standard deviation improvement in annual report readability corresponds to a reduction in the announcement CAR of approximately forty-three basis points, which is economically meaningful given that it constitutes roughly 27% of the sample average announcement CAR of -1.62%. Furthermore, additional analysis reveals that the informativeness enhancing effect that better annual report readability has on rating downgrades is stronger among firms that should be more difficult to monitor and evaluate, including lower rated firms, firms with high stock return volatility, and younger firms. Overall, the results strongly support the hypothesis that well-written annual reports facilitate more timely and informative bond rating downgrades, especially among more informationally problematic firms.
This paper aims to explore how Traditional Healers (THs) and Traditional Birth Attendants (TBAs) support women during pregnancy, childbirth, and the postnatal period in Soweto, Johannesburg. Traditional healing remains a central part of maternal healthcare in South Africa, where cultural beliefs and accessibility influence women’s health-seeking behaviours. Using a qualitative, exploratory, and descriptive design, data were collected through key informant interviews with eight participants (five THs and three TBAs) selected through purposive sampling. Thematic analysis was employed to identify patterns in traditional knowledge, practices, and beliefs related to maternal healthcare. Findings revealed that THs and TBAs play an essential role across the maternal care continuum. In the diagnostic phase, they identify fertility challenges, breech pregnancies, and spiritual causes of illness through ancestral guidance, bone divination, and dreams. During the antenatal period, they provide herbal remedies such as isihlambezo to cleanse and strengthen the womb and perform protective rituals against witchcraft and evil spirits. In the perinatal stage, TBAs assist with labour management, delivery, and placental expulsion using culturally informed methods. Their postnatal care includes uterine cleansing, breastfeeding support, newborn care, and follow-up home visits. These practices, grounded in indigenous knowledge systems, coexist with biomedical care and remain vital due to their cultural resonance and accessibility. The study concludes that strengthening collaboration between traditional and biomedical health systems could enhance culturally sensitive, community-based approaches to maternal healthcare in South Africa.
This is a study about the financing of large group health insurance in the United States. Almost 8 in 10 covered employees in private large firms are enrolled in self-insured (or self-funded) health plans in contrast to only 20 percent of employees in small firms. More than half of all large standard (non-supplemental) health plans are self-insured although their number is decreasing. Considering their significantly greater risk of exposure and transaction costs, the question for scholarly investigation is why (and how) do private large firms self-fund employer-sponsored health insurance? Using plan-level data from health plan administrator filings of Forms 5500 and Summary Annual Reports (2014-2022) with the U.S. Department of Labor, six variables are examined in this study relative to large group self-insurance: industry/sectoral distribution, plan size/enrollment, plan administration, benefits coverage, plan assets and investments, and statutory compliance. Findings suggest that industry/sectoral and enrollee distributions of large health plans are not widely dispersed while their assets and investments and statutory exemptions offer comparative advantages. These plans have also increasingly relied on stop-loss insurance, third-party administration, supplemental health benefits, and less major medical plans to mitigate actuarial risks that involve considerable financial exposure to fluctuating claims costs, potential for catastrophic claims, and cash flow unpredictability. The intertwining theoretical and practical implications of large group self-insurance in healthcare finance and risk management are addressed by way of conclusion.
In the loanable funds theory, the interest rate serves as a balancing factor between the savings offered for loans and the funds borrowed for investment. In Keynes’s theory, by contrast, it is a monetary phenomenon that balances the demand and the supply of money. At first glance, the monetary phenomenon of the interest rate may seem quite different and is often considered groundbreaking and revolutionary. In Keynes’s theory, people hold part of their savings in money to cope with uncertainty about the returns from long-term bonds, and it is savings held in money that leads the interest rate to be a monetary phenomenon. While people hold part of their savings in money, they also invest their savings by purchasing long-term bonds. The interest rate also balances savings offered, though only in part and not the whole, and funds borrowed in the bond market, as in the loanable funds theory. In this regard, Keynes’s theory and the loanable funds theory are not as strikingly different as it may first appear. The main exegetical work of Keynes’s ideas is Keynesian economics. In this theory, the interest rate is also a monetary phenomenon, as is expected of exegetical work. However, it is not due to savings held in money as in Keynes’s theory; rather, it is due to the cash holdings required for purchasing goods and services. This paper examines the differences among these three interest rate theories, the reasons behind them, and their practical implications.
The research analyzes in depth how Beyond Budgeting influences financial results across the South African non-ferrous metal industry. The research solves the challenge of outdated budget systems alongside marketplace insecurities and operational obstacles in the examined sector. The 60-month period from 2020 through secondary financial statement analysis of non-ferrous metal firms constitutes the research approach. Financial performance analysis used a sample set of statements to conduct t-tests on paired data points for examining budgeting practice associations. Beyond Budgeting brought better revenue results to organizations but proved minimally effective in increasing profitability when associated with growing cost diversity levels. Beyond Budgeting produced enhanced revenue results but did not create substantial changes in operating profit numbers. Traditional budgeting methods proved unfit for handling the changing non-ferrous metal market environment because they produced erroneous financial prediction results. The study findings indicate South African non-ferrous metal firms should implement Beyond Budgeting for their revenue flexibility but must maintain cost control systems for profitability sustainability. Organizations should combine traditional budgeting components with Beyond Budgeting principles to attain financial security as well as market responsiveness according to research findings. Financial managers require training in adaptive budgeting and organizations should install real-time tracking systems which effectively regulate cost variances.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |