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.
ISSN 2147-4478 • Journal website ↗
New articles are checked daily. Citation sources are refreshed monthly. All times below are UTC. A successful check may find no new publications.
Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2024 · Olusegun Matthew Awotunde · Ola Olusegun Oyedele · Aregbeshola Rafiu Adewale
2024 · Christiana Kappo-Abidemi · Oyebisi Olaleye Oyewole · Abiodun Isaac Oyebola
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: 31 Oct 2026 17:03 UTC — 01 Nov 2026 03:21 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 8 | 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): 2026-10-31T17:03:39.327282+00:00 — 2026-11-01T03:21:59.142531+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 | 0 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 5 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 3 | 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 |
|---|---|
| 2024 | 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 Research in Business and Social Science SSBFNET | 4 | 4 | 8 | 4/4 | 1.0 | 0.5 | 50.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The ever-evolving digital marketing landscape has continuously adapted to technological advancement, consumer behaviour and ecosystem trends. The 21st century marketplace needs traditional marketing practices, and digital platforms to ensure the actualisation of their growth and development in the ecosystem. The study examined how different digital marketing platforms can influence SMEs' operations and performance (Online marketing, and ICT initiatives). The study employed a quantitative design with primary data collection via a questionnaire designed based on 5-Likert’s Scale to answer the research questions; if there is a significant relationship between Online Marketing and SMEs' Business Competitiveness, and if ICT initiative has a positive relationship with SMEs' Business Growth. Two (2) hypotheses were formulated and tested using a statistical package for social sciences (SPSS). To ascertain the hypotheses formulated, both descriptive and regression analyses were carried out, and the output clearly showed a significant influence of digital marketing on the performance of SMEs. The result shows a positive impact of online marketing on SME business competitiveness. However, this study concluded that in the technology-driven environment, 21st-century SMEs will always see the usefulness and relevance of digital marketing because of its role in improving their performance. This study recommends that SMEs incorporate intensive digital platforms and engage in time-to-time updates of their online marketing channels.
Microenterprises are crucial in sustaining the economy, especially in developing economies like Nigeria. Many of these microenterprises do not take cognizance of necessary determinants like organizational culture and its factors to ensure proper running of their day-to-day activities. The study aims to identify some demographic statistics of employers in technological microenterprises, investigate the factors influencing organizational culture and assess organizational culture's influence on business success among employers in selected technological microenterprises in southwest Nigeria. The study was carried out in three southwestern states in Nigeria with 213 business owners (employers) as respondents. Seventeen factors were explored, but eight were extracted to be considered in measuring the employers' organizational culture: climate, customer demand, technological changes, observed behaviour, norms, consistency, adaptability, and sense of mission. Linear regression analysis was also used to measure organizational culture's impact on technological microenterprises' business performance with SPSS as a statistical tool. The study confirms a positive and significant relationship between organizational culture and business performance at 5% significance. This study concludes that the eight variables extracted are important factors to consider when measuring the organizational culture of employers in technological microenterprises in southwest Nigeria for better business production.
This paper investigates the asymmetric exchange rate pass-through (ERPT) to inflation in Nigeria. The study employed Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models from 2010Q1 to 2024Q2. The analysis incorporates key policy changes, such as the 2023 exchange rate unification, and explores both the short- and long-run impacts of exchange rate fluctuations on food and headline inflation. In particular, the study highlights the response and pass-through periods of exchange rate shocks, with depreciation demonstrating a stronger and more immediate effect on inflation than on appreciation. Results reveal that exchange rate depreciation exerts significant cost-push pressures, with a pass-through effect observed within 3 to 4 quarters, while the effect of appreciation is weaker and more prolonged. This asymmetry is especially pronounced for food inflation, where the dependency on imported goods accelerates the transmission of exchange rate shocks to consumer prices. The study also finds that cumulative depreciation has a much more pronounced effect on inflation. At the same time, appreciation offers minimal relief, reflecting Nigeria’s vulnerability to exchange rate volatility due to its reliance on imports. The findings show the importance of managing exchange rate fluctuations to control inflation, particularly given the asymmetry in how depreciation and appreciation affect prices. By providing a comprehensive analysis of both long- and short-run dynamics, this study contributes to the understanding of ERPT in Nigeria, offering insights for policymakers to implement targeted interventions to mitigate inflationary pressures in the context of exchange rate instability.
Sustainability of the rice production and farmers’ income in Nigeria raises a serious concern due to the rising costs of production inputs and other factors beyond farmers’ control. As a result, the study compared the cost and returns of rice production in North central, Nigeria. A multistage sampling technique was used to select 387 rice farmers in the study area. Descriptive statistics, gross margin analysis and seeming unrelated regression were used to analyze the dataset collected. The findings revealed that most of the rice farmers were male, averagely young and have at least 9 family members in their respectively households. Results from Kwara State showed that total cost is higher among the upland rice farmers compared to their lowland counterparts, but reverse was the case in term of net profit, as this favoured the lowland rice farmers. For Niger State and pooled data, the lowland rice farmers had higher net profit than the upland rice farmers. Seemingly unrelated regression estimates indicated that costs associated with fertilizer, herbicide, seed, pesticide and labour used were significant and influencing factors affecting the revenue of rice farmers in the study area. While inaccessibility to cheap farm inputs was the major constraint affecting the rice farmers, other challenges include lack of storage, inadequate rainfall and inadequate credit facilities. The study recommended seamless access to improved rice varieties by the farmers as this can scale up adoption of improved technologies, boost production and ultimately the net revenue of rice farmers. Farmers are also advised to join and/or form a registered occupational groups through which credit facilities can easily be accessed, to expand the farming operations because of the positive and complementary role of social group and access to credit.
This paper investigates the asymmetric exchange rate pass-through (ERPT) to inflation in Nigeria. The study employed Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models from 2010Q1 to 2024Q2. The analysis incorporates key policy changes, such as the 2023 exchange rate unification, and explores both the short- and long-run impacts of exchange rate fluctuations on food and headline inflation. In particular, the study highlights the response and pass-through periods of exchange rate shocks, with depreciation demonstrating a stronger and more immediate effect on inflation than on appreciation. Results reveal that exchange rate depreciation exerts significant cost-push pressures, with a pass-through effect observed within 3 to 4 quarters, while the effect of appreciation is weaker and more prolonged. This asymmetry is especially pronounced for food inflation, where the dependency on imported goods accelerates the transmission of exchange rate shocks to consumer prices. The study also finds that cumulative depreciation has a much more pronounced effect on inflation. At the same time, appreciation offers minimal relief, reflecting Nigeria’s vulnerability to exchange rate volatility due to its reliance on imports. The findings show the importance of managing exchange rate fluctuations to control inflation, particularly given the asymmetry in how depreciation and appreciation affect prices. By providing a comprehensive analysis of both long- and short-run dynamics, this study contributes to the understanding of ERPT in Nigeria, offering insights for policymakers to implement targeted interventions to mitigate inflationary pressures in the context of exchange rate instability.
The ever-evolving digital marketing landscape has continuously adapted to technological advancement, consumer behaviour and ecosystem trends. The 21st century marketplace needs traditional marketing practices, and digital platforms to ensure the actualisation of their growth and development in the ecosystem. The study examined how different digital marketing platforms can influence SMEs' operations and performance (Online marketing, and ICT initiatives). The study employed a quantitative design with primary data collection via a questionnaire designed based on 5-Likert’s Scale to answer the research questions; if there is a significant relationship between Online Marketing and SMEs' Business Competitiveness, and if ICT initiative has a positive relationship with SMEs' Business Growth. Two (2) hypotheses were formulated and tested using a statistical package for social sciences (SPSS). To ascertain the hypotheses formulated, both descriptive and regression analyses were carried out, and the output clearly showed a significant influence of digital marketing on the performance of SMEs. The result shows a positive impact of online marketing on SME business competitiveness. However, this study concluded that in the technology-driven environment, 21st-century SMEs will always see the usefulness and relevance of digital marketing because of its role in improving their performance. This study recommends that SMEs incorporate intensive digital platforms and engage in time-to-time updates of their online marketing channels.
Microenterprises are crucial in sustaining the economy, especially in developing economies like Nigeria. Many of these microenterprises do not take cognizance of necessary determinants like organizational culture and its factors to ensure proper running of their day-to-day activities. The study aims to identify some demographic statistics of employers in technological microenterprises, investigate the factors influencing organizational culture and assess organizational culture's influence on business success among employers in selected technological microenterprises in southwest Nigeria. The study was carried out in three southwestern states in Nigeria with 213 business owners (employers) as respondents. Seventeen factors were explored, but eight were extracted to be considered in measuring the employers' organizational culture: climate, customer demand, technological changes, observed behaviour, norms, consistency, adaptability, and sense of mission. Linear regression analysis was also used to measure organizational culture's impact on technological microenterprises' business performance with SPSS as a statistical tool. The study confirms a positive and significant relationship between organizational culture and business performance at 5% significance. This study concludes that the eight variables extracted are important factors to consider when measuring the organizational culture of employers in technological microenterprises in southwest Nigeria for better business production.
Sustainability of the rice production and farmers’ income in Nigeria raises a serious concern due to the rising costs of production inputs and other factors beyond farmers’ control. As a result, the study compared the cost and returns of rice production in North central, Nigeria. A multistage sampling technique was used to select 387 rice farmers in the study area. Descriptive statistics, gross margin analysis and seeming unrelated regression were used to analyze the dataset collected. The findings revealed that most of the rice farmers were male, averagely young and have at least 9 family members in their respectively households. Results from Kwara State showed that total cost is higher among the upland rice farmers compared to their lowland counterparts, but reverse was the case in term of net profit, as this favoured the lowland rice farmers. For Niger State and pooled data, the lowland rice farmers had higher net profit than the upland rice farmers. Seemingly unrelated regression estimates indicated that costs associated with fertilizer, herbicide, seed, pesticide and labour used were significant and influencing factors affecting the revenue of rice farmers in the study area. While inaccessibility to cheap farm inputs was the major constraint affecting the rice farmers, other challenges include lack of storage, inadequate rainfall and inadequate credit facilities. The study recommended seamless access to improved rice varieties by the farmers as this can scale up adoption of improved technologies, boost production and ultimately the net revenue of rice farmers. Farmers are also advised to join and/or form a registered occupational groups through which credit facilities can easily be accessed, to expand the farming operations because of the positive and complementary role of social group and access to credit.
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 |
|---|---|---|
| Not available · | Not run |