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 02:16 UTC — 29 Oct 2026 09:46 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 8 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 18 | 4 | 4/4 | 4/4 |
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): 2026-10-22T02:16:13.025485+00:00 — 2026-10-29T09:46:29.020662+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 | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 3 | 4 | 4/4 |
| 2023 | All selected publications | 6 | 4 | 4/4 |
| 2024 | All selected publications | 7 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 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 |
|---|---|
| 2020 | 4 |
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 | 1 | 5 | 9 | 1/1 | 5.0 | 5 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 3 | 9 | 3/3 | 1.0 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
Short-term debt is regarded as an important source of financing for Small and Medium-sized enterprises (SMEs). This is because it can be easily accessed and useful during times of emergent working capital shortage. However, short-term debt is the least researched among the components of capital structure, which explains why its contribution to the financial performance of small and medium-sized businesses still lacks empirical validation especially in the Ugandan context. This paper sought to determine the effect of short-term debt on financial performance of Small and Medium Enterprises in Uganda. The study adopted a descriptive cross-sectional research design to collect and analyse the data. Stratified random sampling technique was used to select SMEs while purposive sampling technique was used to select one key respondent from each of the sampled 453 SMEs in Uganda. Primary data was collected using survey questionnaire. Data was analysed using descriptive statistics and simple linear regression analysis. The findings indicted that short-term debt had a negative and significant effect on financial performance of SMEs as measured by return on assets. The study provides empirical evidence to support the propositions in the extant literature that short-term debt significantly hampers financial performance of SMEs. The study recommends that SMEs should adopt low cost operation procedures to improve profitability. This would lead to accumulated profits that can be used for investment purposes as a means of driving growth among the SMEs without resorting to borrowing. This paper suggests that further research should be conducted to establish the justification for the negative and significant effect of short-term debt on financial performance using qualitative approaches.
This paper analyses the influence of the Internet of Things (IoT) on business performance guided by the following objectives; assessing the influence of the Internet of things positively on sales and marketing strategies of business; to determine the influence of the Internet of things on resources management in modern businesses and to analyze the influence of the Internet of things on business profitability. The paper conducted exploratory research to study the Impact of IoT data on Business performance was conducted. Through the literature review process recently published papers on IoT and business performance including sales and marketing strategies, resource management profitability was gathered. Research papers, Journals, Internet Sites, and books were used to collate the relevant content on the subject. The analysis conducted by this study indicated that most published studies showed that IoT has huge potential for businesses across many sectors. The data collected through the implementation of IoT provide business with opportunities of increasing efficiency which improves sales and marketing, resource management, growth potential, and profitability. This study recommends that despite the challenges in the development of IoT technologies, it’s an implementation in businesses is inevitable as they seek to increase the performance.
This research examines the effect of financial literacy training and micro insurance on the financial performance of Small and Medium Enterprises in the Sekondi-Takoradi Metropolis of Ghana. This study aims (i)to determine the effect of financial literacy training on the financial performance of SMEs, (ii) to establish the effect of microinsurance on the financial performance of SMEs; (iii) and to determine the moderating effect of government regulations on the relationship between financial literacy training, micro-insurance and the financial performance of SMEs. The study was based on the financial intermediation theory and Schumpeter’s theory of innovation. The study adopted an explanatory research design, using a sample size of 260 SMEs in the Sekondi-Takoradi metropolis, Ghana. A structured questionnaire was used to collect data on financial literacy training, micro insurance, financial performance, and government regulations from SME owners and microfinance institutions. Analysis of the data collected revealed that both financial literacy training and micro-insurance had a positive and significant effect on the financial performance of SMEs. The study recommends that the management of microfinance institutions that provide financial literacy training and micro-insurance should undertake a survey on the needs of SMEs and the specific challenges they face in accessing microfinance services.
In the current dynamic world, those with no or little access to key financial products and services suffer a great deal of disservice. This study examines the effect of remittance channels (commercial banks and alternative sources) have on financial inclusion and then check the moderating effect of money remittance regulation on the relationship between the remittance channels and financial inclusion in Kenya. It uses the World Bank and Central Bank of Kenya’s dataset on remittances and financial inclusion covering the period from 2009 to 2018. We estimate our model using the Ordinary Least Square assumptions to find the association. We find that remittances from alternative channels other than commercial banks influence financial inclusion in Kenya. We further notice that the money remittance regulations have no moderating effect on the relationship between remittance channels and financial inclusion in Kenya. Our results suggest that commercial banks are not able to appropriately sell their products and services to remittance-receiving households while fintech and other internet remitting service providers seem to roll on products and services that enhance the use of savings and credit facilities. We suggest that more avenues and policies should be enacted to foster the use of alternative sources while improving structures within commercial banks to empower financial inclusion in Kenya
This research examines the effect of financial literacy training and micro insurance on the financial performance of Small and Medium Enterprises in the Sekondi-Takoradi Metropolis of Ghana. This study aims (i)to determine the effect of financial literacy training on the financial performance of SMEs, (ii) to establish the effect of microinsurance on the financial performance of SMEs; (iii) and to determine the moderating effect of government regulations on the relationship between financial literacy training, micro-insurance and the financial performance of SMEs. The study was based on the financial intermediation theory and Schumpeter’s theory of innovation. The study adopted an explanatory research design, using a sample size of 260 SMEs in the Sekondi-Takoradi metropolis, Ghana. A structured questionnaire was used to collect data on financial literacy training, micro insurance, financial performance, and government regulations from SME owners and microfinance institutions. Analysis of the data collected revealed that both financial literacy training and micro-insurance had a positive and significant effect on the financial performance of SMEs. The study recommends that the management of microfinance institutions that provide financial literacy training and micro-insurance should undertake a survey on the needs of SMEs and the specific challenges they face in accessing microfinance services.
In the current dynamic world, those with no or little access to key financial products and services suffer a great deal of disservice. This study examines the effect of remittance channels (commercial banks and alternative sources) have on financial inclusion and then check the moderating effect of money remittance regulation on the relationship between the remittance channels and financial inclusion in Kenya. It uses the World Bank and Central Bank of Kenya’s dataset on remittances and financial inclusion covering the period from 2009 to 2018. We estimate our model using the Ordinary Least Square assumptions to find the association. We find that remittances from alternative channels other than commercial banks influence financial inclusion in Kenya. We further notice that the money remittance regulations have no moderating effect on the relationship between remittance channels and financial inclusion in Kenya. Our results suggest that commercial banks are not able to appropriately sell their products and services to remittance-receiving households while fintech and other internet remitting service providers seem to roll on products and services that enhance the use of savings and credit facilities. We suggest that more avenues and policies should be enacted to foster the use of alternative sources while improving structures within commercial banks to empower financial inclusion in Kenya
Short-term debt is regarded as an important source of financing for Small and Medium-sized enterprises (SMEs). This is because it can be easily accessed and useful during times of emergent working capital shortage. However, short-term debt is the least researched among the components of capital structure, which explains why its contribution to the financial performance of small and medium-sized businesses still lacks empirical validation especially in the Ugandan context. This paper sought to determine the effect of short-term debt on financial performance of Small and Medium Enterprises in Uganda. The study adopted a descriptive cross-sectional research design to collect and analyse the data. Stratified random sampling technique was used to select SMEs while purposive sampling technique was used to select one key respondent from each of the sampled 453 SMEs in Uganda. Primary data was collected using survey questionnaire. Data was analysed using descriptive statistics and simple linear regression analysis. The findings indicted that short-term debt had a negative and significant effect on financial performance of SMEs as measured by return on assets. The study provides empirical evidence to support the propositions in the extant literature that short-term debt significantly hampers financial performance of SMEs. The study recommends that SMEs should adopt low cost operation procedures to improve profitability. This would lead to accumulated profits that can be used for investment purposes as a means of driving growth among the SMEs without resorting to borrowing. This paper suggests that further research should be conducted to establish the justification for the negative and significant effect of short-term debt on financial performance using qualitative approaches.
This paper analyses the influence of the Internet of Things (IoT) on business performance guided by the following objectives; assessing the influence of the Internet of things positively on sales and marketing strategies of business; to determine the influence of the Internet of things on resources management in modern businesses and to analyze the influence of the Internet of things on business profitability. The paper conducted exploratory research to study the Impact of IoT data on Business performance was conducted. Through the literature review process recently published papers on IoT and business performance including sales and marketing strategies, resource management profitability was gathered. Research papers, Journals, Internet Sites, and books were used to collate the relevant content on the subject. The analysis conducted by this study indicated that most published studies showed that IoT has huge potential for businesses across many sectors. The data collected through the implementation of IoT provide business with opportunities of increasing efficiency which improves sales and marketing, resource management, growth potential, and profitability. This study recommends that despite the challenges in the development of IoT technologies, it’s an implementation in businesses is inevitable as they seek to increase the 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 19:56 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 |