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: 11 / 11 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 07:23 UTC — 29 Oct 2026 12:18 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 | 11 | 11 | 11/11 | 11/11 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 10 | 11 | 11/11 | 11/11 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 12 | 11 | 11/11 | 11/11 |
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 11 / 11 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): 2026-10-21T07:23:00.690294+00:00 — 2026-10-29T12:18:22.324717+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 | 11 | 11/11 |
| 2018 | All selected publications | 0 | 11 | 11/11 |
| 2019 | All selected publications | 0 | 11 | 11/11 |
| 2020 | All selected publications | 0 | 11 | 11/11 |
| 2021 | All selected publications | 0 | 11 | 11/11 |
| 2022 | All selected publications | 0 | 11 | 11/11 |
| 2023 | All selected publications | 0 | 11 | 11/11 |
| 2024 | All selected publications | 0 | 11 | 11/11 |
| 2025 | All selected publications | 5 | 11 | 11/11 |
| 2026 | All selected publications | 7 | 11 | 11/11 |
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 | 11 |
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 | 11 | 10 | 12 | 11/11 | 0.91 | 0 | 36.4 | 11/11 · 100.0% |
* Percentage among publications with a known citation count.
Corporate Social Responsibility (CSR) practices of privately owned mining companies have been argued to create benefits to communities’ wellbeing in areas of their operation. However, little is known on the CSR of partly owned government mining companies. Therefore, this paper ought to: examined the contribution of CSR practices of the North Mara Gold Mine in Tanzania to the wellbeing of communities living around the mine. Specifically, it examined and compared levels of household wellbeing before and after the implementation of CSR practices. The study used cross sectional research design and involved 358 households which were selected using systematic random sampling method. The wellbeing index was used to measure levels of wellbeing. Besides, the Wilcoxon Signed Rank Test was used to compare wellbeing levels before and after the implementation of the CSR practices. The results revealed that the CSR practices of the North Mara Gold Mine company enabled people to own improved quality housing and valuable assets. Also, the household wellbeing index score was significantly higher after the implementation of the CSR practices. There was a significant difference in wellbeing levels (p<0.001) before and after the implementation of CSR practices. It is recommended that CSR plans to be integrated into company business operations and carefully monitored, evaluated and strictly audited regularly for effective community development.
This study examined the impact of Green Human Resource Management (Green HRM) practices on promoting decent work conditions in Ilala Municipal, Tanzania. Specifically, the research focused on key indicators of decent work, including fair wages, a safe working environment, social protection, job security, and respect and dignity in the workplace. The study employed a mixed-method approach, combining both quantitative surveys and qualitative interviews, to gather insights on the extent to which Green HRH aligned with Decent works Data were collected from 120 respondents, including employees and HR managers from the public and private sectors, as well as HR professionals from the industrial, service, and retail sectors. The findings revealed that the implementation of Green HRM practices, such as environmental training, sustainable recruitment, eco-friendly workplace policies, and performance appraisal for sustainability, positively influenced decent work conditions. Employees expressed higher levels of job satisfaction, work-life balance, health and safety, and opportunities for growth. The study concluded that Green HRM not only fosters environmental sustainability but also enhances employee well-being by promoting a supportive and secure work environment. Recommendations include strengthening employee engagement in green initiatives, improving health and safety measures, expanding social protection, and promoting a culture of respect and dignity. The study contributes to the growing body of literature on the intersection of sustainability and human resource management and suggests areas for future research, including the role of digital transformation and sector-specific analyses of Green HRM practices.
This study examines the role of training and development in enhancing work engagement and service quality in rural public health facilities in Tanzania. Grounded in Social Exchange Theory, Job Demands-Resources Theory, and the SERVQUAL model, the study adopts a positivist paradigm, a deductive approach, and a cross-sectional survey design. Data were collected from 285 respondents across 63 health centers and dispensaries using self-administered questionnaires. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for data analysis. The findings reveal that training and development significantly enhance work engagement, which in turn positively influences service quality. Furthermore, work engagement partially mediates the relationship between training and development and service quality, highlighting its pivotal role in translating employee development initiatives into improved service outcomes. These results underscore the importance of investing in training and development programs to foster employee work engagement and enhance service quality in rural health facilities. The study provides valuable insights for policymakers and healthcare administrators aiming to improve healthcare delivery in resource-constrained settings.
This study investigates the effects of revenue enhancement plans (REPs) on revenue collection performance in Tanzanian local government authorities (LGAs), focusing on Mwanza City Council, Manyara Urban Council, and Mbeya City Council. The research adopts a mixed approach, collecting data from 400 respondents using a multistage sampling technique. The data were analyzed using a multivariate ordered probit model. The results reveal that reducing revenue leakage and improving revenue forecasting accuracy significantly enhance revenue collection performance. Specifically, the coefficient for revenue leakage was -1.221 for effectiveness (p<0.01) and -1.59 for increment (p<0.01), indicating a strong negative impact on performance. In contrast, accurate revenue forecasting positively impacted effectiveness (1.390, p<0.01) and increment (0.516, p<0.01). The model also showed that high implementation costs negatively impacted revenue growth (increment: -1.634, p<0.05). Compliance was found to positively influence reliability (1.533, p<0.01) and efficiency (1.029, p<0.01), underlining the importance of adherence to regulations. The results also highlighted the need for cost management strategies, as implementation costs and leakages hinder revenue growth and efficiency. The study recommends policy measures such as adopting digital solutions to reduce revenue leakages, investing in forecasting tools, and strengthening compliance mechanisms to optimize revenue collection and improve financial sustainability.
This research examines the critical role of supplier collaboration in advancing sustainable procurement practices within Temeke District’s Blue Economy a coastal zone in Tanzania where marine resources underpin livelihoods yet face escalating environmental pressures. Despite national policies promoting sustainable ocean governance, implementation gaps persist due to fragmented regulations, power imbalances, and the marginalization of informal suppliers. This study addresses an underexplored link: how collaborative relationships between buyers and suppliers enable or constrain sustainability outcomes in complex, resource-dependent contexts. Adopting a mixed methods approach, the research engaged diverse stakeholders across public, private, and community spheres. Findings reveal that transactional procurement paradigms dominate, stifling innovation and ecological stewardship. Trust deficits and restrictive contractual frameworks inhibit meaningful partnerships, while pervasive informality excludes suppliers with invaluable place-based knowledge. Nevertheless, intermediary actors, such as NGOs and community leaders emerge as vital bridges, fostering adaptive solutions through locally embedded dialogue. The study identifies key barriers, including conflicting sectoral policies, financial exclusion, and gendered occupational segregation, which limit inclusive participation. Conversely, enablers like co-designed "Sustainability Compacts" and intergenerational knowledge exchange offer pathways for reform. Recommendations prioritize integrated governance, supplier empowerment funds, and gender-responsive platforms to reconfigure collaboration as a catalyst for equity and resilience. By centering Temeke’s socio-ecological realities, this research contributes a framework for transforming procurement from a compliance exercise into a regenerative force. It argues that effective Blue Economy transitions require redistributing agency to frontline suppliers not as contractors, but as custodians of coastal futures.
This research examines the critical role of supplier collaboration in advancing sustainable procurement practices within Temeke District’s Blue Economy a coastal zone in Tanzania where marine resources underpin livelihoods yet face escalating environmental pressures. Despite national policies promoting sustainable ocean governance, implementation gaps persist due to fragmented regulations, power imbalances, and the marginalization of informal suppliers. This study addresses an underexplored link: how collaborative relationships between buyers and suppliers enable or constrain sustainability outcomes in complex, resource-dependent contexts. Adopting a mixed methods approach, the research engaged diverse stakeholders across public, private, and community spheres. Findings reveal that transactional procurement paradigms dominate, stifling innovation and ecological stewardship. Trust deficits and restrictive contractual frameworks inhibit meaningful partnerships, while pervasive informality excludes suppliers with invaluable place-based knowledge. Nevertheless, intermediary actors, such as NGOs and community leaders emerge as vital bridges, fostering adaptive solutions through locally embedded dialogue. The study identifies key barriers, including conflicting sectoral policies, financial exclusion, and gendered occupational segregation, which limit inclusive participation. Conversely, enablers like co-designed "Sustainability Compacts" and intergenerational knowledge exchange offer pathways for reform. Recommendations prioritize integrated governance, supplier empowerment funds, and gender-responsive platforms to reconfigure collaboration as a catalyst for equity and resilience. By centering Temeke’s socio-ecological realities, this research contributes a framework for transforming procurement from a compliance exercise into a regenerative force. It argues that effective Blue Economy transitions require redistributing agency to frontline suppliers not as contractors, but as custodians of coastal futures.
This study investigates the impact of rising fuel prices on the transportation of agricultural crops in Iringa District, Tanzania from 2021 to 2023. It examines how fuel price fluctuations have influenced transportation costs, market accessibility, and overall agricultural productivity. Using a mixed-methods approach, data were collected from smallholder farmers, transporters, and market traders through surveys and interviews. The findings indicate that the continuous increase in fuel prices has significantly escalated transportation costs, limiting farmers’ access to distant markets and reducing their profit margins Additionally, higher transportation expenses have contributed to increased food prices, negatively affecting consumers and overall market efficiency. The study further highlights challenges such as supply chain disruptions, decreased competitiveness of local agricultural products, and financial constraints for transport service providers. To mitigate these impacts, policy recommendations include the introduction of targeted fuel subsidies, investment in alternative transportation solutions improvements in rural infrastructure, and strengthening agricultural market linkages. Implementing these measures could help stabilize transportation costs, enhance market access, and support the resilience of smallholder farmers in Iringa District, Tanzania.
This study investigates the relationship between financial literacy and financial well-being among youth entrepreneurs in Tanzania, focusing on the mediating role of financial behaviour. Drawing on human capital theory and behavioural economics, this study employed a cross-sectional design and collected data from a sample of youth entrepreneurs using structured questionnaires in selected urban areas in Tanzania. Data were analysed using Structural Equation Modelling (SEM) to assess both direct and indirect relationships among the variables. The findings reveal that financial literacy significantly and positively affects financial well-being, underscoring the foundational role of financial knowledge in enhancing economic decision making. Furthermore, financial literacy significantly influenced financial behaviour, and financial behaviour partially mediated the relationship between financial literacy and financial well-being. These results suggest that while financial knowledge is critical, it is the consistent application of this knowledge through daily financial practices, such as budgeting, saving, and debt management that ultimately leads to improved financial outcomes. This study contributes to the growing literature on financial capability and entrepreneurial sustainability in developing economies and supports the advancement of Sustainable Development Goals, particularly SDG 1, SDG 4.4, and SDG 8. These findings have important implications for policymakers, educators, and development partners aiming to enhance youth financial empowerment through integrated financial education and behaviour-focused intervention.
The study examined financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior. The study applied a cross-sectional survey strategy, positivist paradigm and deductive approach. The study collected quantitative data through questionnaire from government employees working in different ministries within Dodoma region in Tanzania. The study examined whether the moderator moderates the relationship between independent variables (computation capability, financial knowledge, financial education and risk attitude towards financial products) and dependent variable (retirement planning). Data analysis was through Smart PLS-SEM path modelling. The study findings were that financial decision behavior had statistically significant positive moderating effect (p=0.013) on retirement planning. Moderating effect of financial decision behavior on the relationship between risk altitude towards financial products and retirement planning found to be a theoretical contribution of this study as it supports behavioral finance advocates who asserts that the theory of expected utility is an incomplete model since it lacks individual behavioral aspects. This study has incorporating a moderating variable financial decision behavior borrowed from the theory of planned behavior, which has indicated a significant moderating effect that has widened the explanatory power of the theory. This study offers pertinent insights for policy makers concerns on reviewing policy guidelines by government regulators and professional bodies, to advocate for employee’s savings and investment behavior, employees access to a range of financial products, regular training on financial products available in the financial market for better investment decision. Lastly, practitioners and academia can use the results of this study for future references.
The implementation of Good Agricultural Practices (GAPs) in developing countries, particularly Tanzania, requires strong government intervention to achieve sustainable agricultural outcomes in line with both national and international standards. Given the high costs and institutional demands associated with GAP implementation, the central–local government interface plays a critical role in facilitating, coordinating, and overseeing this process. This formal interface comprises key dimensions, including the transfer of authority, interaction channels, adherence to existing legislation, and resource-sharing mechanisms. However, limited understanding of how these institutional arrangements influence the effective implementation of GAPs has contributed to persistent inconsistencies and inefficiencies. This study investigated the extent to which Tanzania’s formal central–local government interactions affect GAP implementation. A total of 228 respondents were surveyed across Local Government Authorities in the Morogoro, Mbeya, and Shinyanga regions, and data were analysed using multiple linear regression. The results demonstrate that the transfer of authority (? = 0.124, p < 0.05), interaction channels (? = 0.540, p < 0.001), and resource-sharing mechanisms (? = 0.134, p < 0.001) significantly influence the implementation of GAPs. In contrast, adherence to existing laws and regulations showed no statistically significant effect (? = 0.018, p = 0.587). These findings underscore the importance of decentralised authority, effective intergovernmental communication, and coordinated resource allocation in strengthening agricultural governance. The study recommends more targeted policy reforms that empower local governments and foster institutional synergy to enhance GAP implementation, thereby contributing to Tanzania’s agricultural transformation and broader development objectives. It is therefore, the study reinforce the need for integrated governance as a pathway to achieving agricultural modernisation and food security goals in line with SDG 2.
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 |