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: 10 / 10 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 19:04 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.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 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 | 10 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 9 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 13 | 10 | 10/10 | 10/10 |
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 10 / 10 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): 2026-10-21T07:22:54.135321+00:00 — 2026-10-27T19:04:08.996434+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 | 10 | 10/10 |
| 2018 | All selected publications | 0 | 10 | 10/10 |
| 2019 | All selected publications | 0 | 10 | 10/10 |
| 2020 | All selected publications | 0 | 10 | 10/10 |
| 2021 | All selected publications | 0 | 10 | 10/10 |
| 2022 | All selected publications | 0 | 10 | 10/10 |
| 2023 | All selected publications | 0 | 10 | 10/10 |
| 2024 | All selected publications | 6 | 10 | 10/10 |
| 2025 | All selected publications | 1 | 10 | 10/10 |
| 2026 | All selected publications | 6 | 10 | 10/10 |
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 ↗
Records with full publication dates only. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2024-02 | 2 |
| 2024-04 | 1 |
| 2024-06 | 1 |
| 2024-08 | 1 |
| 2024-10 | 1 |
| 2024-11 | 1 |
| 2024-12 | 3 |
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 | 3 | 3 | 3 | 3/3 | 1.0 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 3 | 2 | 2 | 3/3 | 0.67 | 0 | 33.3 | 3/3 · 100.0% |
| 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.
This paper explores the nonlinear dynamics relationship between petroleum product prices and inflation in Nigeria. By focusing on the role of exchange rate fluctuations in amplifying the relationships, the paper employs a multiplicative interaction approach to address the nonlinear effects of petroleum prices on inflation. Utilizing data from 2016: Q1 to 2024: Q2 from the National Bureau of Statistics and the Central Bank of Nigeria, the study introduces interaction terms to capture how petroleum prices and exchange rates interact to influence inflation. The methodology includes static and dynamic panel estimators, with a focus on the within effect model to account for unobserved state-specific factors. Key findings reveal that AGO and PMS prices significantly drive both headline and food inflation, while DPK's impact varies, and GAS shows minimal effect. The study highlights those geographical factors—proximity to seaports and fuel depots—significantly influence inflationary pressures. States closer to these facilities experience lower inflation due to reduced distribution costs. This suggests that policies aimed at partial subsidization for states farther from key infrastructure could mitigate regional inflation disparities. The findings contribute to the understanding of inflation dynamics, emphasizing the need for targeted policy interventions tailored to regional economic conditions in Nigeria.
The study contributes to the literature on propane's prospects and viability for off-grid energy, implications for stakeholders, and alignment with sustainable energy goal 7. It examines the prospects of propane-powered off-grid electricity in the Nigerian electricity supply industry (NESI). The study assessed propane’s economic viability and environmental implications as a replacement for diesel (AGO). Specifically, the analyses included comparative levelized cost of electricity (LCOE), net present value (NPV) modeling, Monte Carlo simulations, and carbon emissions estimation. The study found that the cost of energy from diesel (AGO) is 1.52 to 2.86 times of grid MYTO tariffs and 1.84 to 3.92 times of the MYTO tariffs for All-in LCOE. The average total LCOEs were 1.01 to 1.63 times for the commercial bank and 1.02 to 1.63 times for the residential estate. The LCOEs for the AGO generators ranged from $0.183 to $0.286 (fuel only) and $0.335 to $0.392 per kWh all-in. These comparative LCOEs are between 110% and 263.8% of the electricity tariff averages in the US (residential: $0.155/kWh and commercial: $0.127/kWh) and the UK (£0.245/kWh) and, accordingly, confirm the expensive nature of AGO-based electricity in Nigeria. Furthermore, the study found that propane-based off-grid energy is a viable substitute for AGO and cheaper than the current Band A tariff of N206.80KWh, with savings between 10.52% and 45.25%. The study also shows that propane is a cleaner and more efficient source of energy that can help reduce greenhouse gas emissions by at least 13.8% and as high as 31.1% depending on the generator-load match efficiency with the associated monetized savings between $9.18 and $20.62 per MT CO2e. The study recommends government incentives and private sector investments towards adopting propane for off-grid electricity, thereby reducing greenhouse gas emissions, achieving Nigeria’s nationally determined contribution (NDC) plan, and promoting sustainable development.
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.
Trade liberalization is a widely accepted policy for fostering economic growth, particularly in developing countries. Advocates argue that open economies, through increased competition, specialization, and access to global markets, outperform closed economies. However, the short-term effects on developing economies like Nigeria remain debated, especially within the manufacturing sector. Nigeria's trade policy has fluctuated between protectionism and openness, significantly influencing its manufacturing performance. Critics, drawing from dependency theory, argue that liberalization exposes weaker economies to exploitation by stronger nations, leading to trade imbalances and inhibiting industrial growth. This study investigates the nonlinear effects of trade liberalization on Nigeria’s manufacturing sector, addressing a gap in the literature by employing a quadratic approach to determine threshold effects. By incorporating a quadratic form of the trade variable, the study tests the hypothesis that trade liberalization initially boosts the manufacturing sector but results in diminishing returns as openness intensifies. The research is framed within the Laffer Curve of Trade, suggesting that beyond a certain threshold, excessive openness may harm the manufacturing sector. The AutoRegressive Distributed Lag (ARDL) model is used to assess both short-run and long-run effects, with findings indicating a convex relationship between trade liberalization and manufacturing output, highlighting the critical importance of identifying optimal policy thresholds to maximize industrial growth.
This study investigates the validity of Thirlwall’s Law in Nigeria, examining whether balance-of-payments constraints affects economic growth in Nigeria. Utilizing annual data from 1980 to 2020, the analysis employs an autoregressive distributed lag (ARDL) model to estimate the income elasticity of imports and tests for cointegration to verify long-term equilibrium relationships. Findings reveal that Nigeria’s income elasticity of import demand exceeds unity, suggesting that income growth significantly heightens import dependency, which exacerbates balance-of-payments pressures. The results confirm Thirlwall’s hypothesis, indicating that Nigeria’s growth is constrained by its current account position. This study contributes to the literature by applying Thirlwall’s Law to a resource-dependent developing economy with high import reliance and limited export diversification. Key policy recommendations include the adoption of an import-substitution strategy to bolster domestic production in high-demand sectors, alongside export diversification efforts to reduce external dependency. These findings underscore the urgent need for structural reforms to stabilize the balance of payments and promote sustainable economic growth in Nigeria.
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.
Conflict has been proven to be inescapable in the work environment because of the composite nature of organizations. The study on the Appraisal of the Relevance of Consultation in Organisational Conflict Management evaluated the relationship of consultation with conflict management in an organization. Deploying consultation strategies in conflict management douses the degree of impact and incidence of escalated conflict. The study administered a questionnaire to 200 respondents from Banking & Fintech, Manufacturing, Professional Institutes, Ministries, Departments and Agencies of Government, Telecommunication, and Oil & Gas sectors in Southwest Nigeria through Google Forms, while 177 responded. A questionnaire was designed and validated by Industrial and Labour Relations Experts before administering it. Data were analyzed using charts, tabulations, percentages, and Pearson Product Moment Correlation (PPMC) methods. Findings confirmed that relationships exist between conflict management and consultation as a form of social dialogue. Most respondents agreed in strong and mild terms that deploying social dialogue in conflict management can trim down conflict; facilitate collaboration; replace confrontational relationships; establish a harmonious industrial climate; and open and encourage channels for consensus building. Since conflict is an intrinsic feature of organizational relations, sustaining a mutual relationship requires a deliberate commitment to adopt conflict management strategies. Social dialogue through consultation proved to be a potent apparatus for promoting effective conflict management. This highlights the need for organizations to prioritize consultation as a strategic approach to conflict resolution, ensuring harmony and collaboration across workplace dynamics. Hence, it is recommended that consultation should be deployed as a procedure to manage conflict in an organization.
This paper explores the nonlinear dynamics relationship between petroleum product prices and inflation in Nigeria. By focusing on the role of exchange rate fluctuations in amplifying the relationships, the paper employs a multiplicative interaction approach to address the nonlinear effects of petroleum prices on inflation. Utilizing data from 2016: Q1 to 2024: Q2 from the National Bureau of Statistics and the Central Bank of Nigeria, the study introduces interaction terms to capture how petroleum prices and exchange rates interact to influence inflation. The methodology includes static and dynamic panel estimators, with a focus on the within effect model to account for unobserved state-specific factors. Key findings reveal that AGO and PMS prices significantly drive both headline and food inflation, while DPK's impact varies, and GAS shows minimal effect. The study highlights those geographical factors—proximity to seaports and fuel depots—significantly influence inflationary pressures. States closer to these facilities experience lower inflation due to reduced distribution costs. This suggests that policies aimed at partial subsidization for states farther from key infrastructure could mitigate regional inflation disparities. The findings contribute to the understanding of inflation dynamics, emphasizing the need for targeted policy interventions tailored to regional economic conditions in Nigeria.
Trade liberalization is a widely accepted policy for fostering economic growth, particularly in developing countries. Advocates argue that open economies, through increased competition, specialization, and access to global markets, outperform closed economies. However, the short-term effects on developing economies like Nigeria remain debated, especially within the manufacturing sector. Nigeria's trade policy has fluctuated between protectionism and openness, significantly influencing its manufacturing performance. Critics, drawing from dependency theory, argue that liberalization exposes weaker economies to exploitation by stronger nations, leading to trade imbalances and inhibiting industrial growth. This study investigates the nonlinear effects of trade liberalization on Nigeria’s manufacturing sector, addressing a gap in the literature by employing a quadratic approach to determine threshold effects. By incorporating a quadratic form of the trade variable, the study tests the hypothesis that trade liberalization initially boosts the manufacturing sector but results in diminishing returns as openness intensifies. The research is framed within the Laffer Curve of Trade, suggesting that beyond a certain threshold, excessive openness may harm the manufacturing sector. The AutoRegressive Distributed Lag (ARDL) model is used to assess both short-run and long-run effects, with findings indicating a convex relationship between trade liberalization and manufacturing output, highlighting the critical importance of identifying optimal policy thresholds to maximize industrial growth.
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 |