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: 33 / 33 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 21:54 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.
33 / 33 with data · 0 missing or unmatched. Percentages use all 33 selected publications.
33 / 33 with data · 0 missing or unmatched. Percentages use all 33 selected publications.
33 / 33 with data · 0 missing or unmatched. Percentages use all 33 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 10 | 10 | 10/10 | 10/10 |
| 2023 | All selected publications | 12 | 12 | 12/12 | 12/12 |
| 2024 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2025 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 16 | 10 | 10/10 | 10/10 |
| 2023 | All selected publications | 30 | 12 | 12/12 | 12/12 |
| 2024 | All selected publications | 10 | 6 | 6/6 | 6/6 |
| 2025 | All selected publications | 10 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 26 | 10 | 10/10 | 10/10 |
| 2023 | All selected publications | 36 | 12 | 12/12 | 12/12 |
| 2024 | All selected publications | 10 | 6 | 6/6 | 6/6 |
| 2025 | All selected publications | 12 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
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 33 / 33 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): 2026-10-21T07:22:43.945583+00:00 — 2026-10-27T21:54:28.223612+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 | 33 | 33/33 |
| 2018 | All selected publications | 1 | 33 | 33/33 |
| 2019 | All selected publications | 0 | 33 | 33/33 |
| 2020 | All selected publications | 0 | 33 | 33/33 |
| 2021 | All selected publications | 0 | 33 | 33/33 |
| 2022 | All selected publications | 3 | 33 | 33/33 |
| 2023 | All selected publications | 13 | 33 | 33/33 |
| 2024 | All selected publications | 13 | 33 | 33/33 |
| 2025 | All selected publications | 27 | 33 | 33/33 |
| 2026 | All selected publications | 28 | 33 | 33/33 |
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 |
|---|---|
| 2022 | 10 |
| 2023 | 12 |
| 2024 | 6 |
| 2025 | 4 |
| 2026 | 1 |
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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 2 | 2 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 32 | 65 | 83 | 32/32 | 2.03 | 2.0 | 100.0 | 32/32 · 100.0% |
* Percentage among publications with a known citation count.
The study aimed to identify the obstacles preventing higher learning institutions in the Dar es Salaam region from adopting sustainable procurement. In particular, the study sought to ascertain how the legal framework, supplier awareness, staff knowledge, and top management support affected sustainable procurement in the construction projects of higher learning institutions in the Dar es Salaam region. 156 employees who worked as estate officers and procurement specialists made up the study's sample, whereby the Yamane (1967) Formula was used to determine the study's sample size, which was 112 participants. However, only 101 questionnaires were collected, filled out, and returned for analysis. The data were collected using a closed-ended questionnaire using the drop-and-pick method. The data were analyzed using descriptive statistics, where the mean and standard deviation were calculated. At the same time, inferential analysis was done by using multiple linear regression analysis after testing the reliability and validity of the data and the assumptions of multiple regression analysis, including normality, linearity, homoscedasticity, and multicollinearity. The research was carried out using IBM SPSS version 26. According to the study's findings, all four tested variables, supplier awareness, management support, legal framework, and staff knowledge, have a significant positive relationship with sustainable procurement. Management in higher learning institutions should consider these variables to ensure sustainable procurement within their organization.
Cassava (Manihot esculenta Crantz) has remained a major source of food security and income generation for most developing countries including Tanzania due to its ability to drought and disease resistance. At present, its production in Tanzania stands at 630,000 tons while the country's market demand is expected to grow at 7% by 2026. Therefore, this study assessed the contribution of cassava production and marketing on the livelihood of smallholder farmers in Tanzania particularly in the Dodoma region, so as to explore its potential contributions to the society welfare. A cross-sectional research design was employed whereby a multi-stage sampling procedure was used in selecting a sample of 240 cassava smallholder farmers from four districts in the Dodoma region namely Kondoa, Chemba, Kongwa, and Mpwapwa. Quantitative data were collected through self-administered structured questionnaires and focus group discussion, interview and observation methods also were used in collecting qualitative data from the study area. Content analysis was used in analyzing qualitative data. A binary logistic regression model was employed to estimate the contribution of cassava production and marketing on smallholder farmers’ livelihoods in the region. The findings from the study indicated that family size, farmers’ experience, land size, education, number of visits by extension, and market access statistically were significant with showed a positive relationship with the improvement in the livelihood of farmers in the selected districts. On the other hand, transportation costs showed a negative relation with the improvement of farmers’ livelihood. Generally, it can be concluded that an increase in production and improvement in marketing variables could contribute much to the improvement of smallholder farmers’ livelihood. Based on these findings, it is recommended that Ministries responsible for cassava production and marketing which included the Ministry of Agriculture and the Ministry of Industry and Trade focus more on the design, promotion, and implementation of policies and programs that are intended to enhance cassava production in rural areas and increase the provision of best farming practices through employing more extension officers.
Due to rising global competition and major changes in consumer demands, preferences, and tastes, many businesses today use the Japanese management technique known as Kaizen to adjust their production processes to meet these expectations. The sole goal of this study was to improve the overall productivity of medium-scale industries by integrating the kaizen philosophy into the production process. Most learning exercises carried out as part of kaizen initiatives were designed to improve social outcomes regarding employees’ problem-solving skills and attitudes. In particular, Kaizen coordinators are concerned with employees’ understanding of continuous improvement and their communication and problem-solving abilities. The pilot project was carried out in the production lines where vanilla extracts were being produced. The Plan-Do-Check-Act (PDCA) cycle technique was used in this study to improve productivity in the production process. The pitch diagram was used as a supportive tool. The two prominent techniques that mainly contributed to the increase in productivity were the PDCA cycle and the pitch diagram. Kaizen implementation led to a 37% increase in the company's total productivity. To increase productivity even further, water tapping and measurement were merged. As a result, it took just 2 minutes instead of 5 to fill a bottle with 20 liters of water. This study concludes that the Kaizen philosophy and elimination of non-value-adding tasks from the production process improve output.
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 was deliberately designed to empirically examine how Artificial Intelligence (AI) enhances supply chain performance within Tanzanian brewery companies, addressing a critical gap between global theoretical potential and local practical realities. Using a mixed-methods, embedded single-case study approach, data were collected from 86 participants at Tanzania Breweries Limited (TBL) through questionnaires, semi-structured interviews, and focus group discussions. The findings revealed a fragmented yet influential adoption landscape, where tools like predictive analytics and machine learning significantly boosted service quality and certain efficiency measures; however, these benefits were notably limited by organizational resistance, weak data governance, and major external infrastructural barriers. As an original contribution, this study offers fresh, context-specific insights into the socio-technical dynamics of AI adoption in a lesser-studied Tanzanian industrial setting. Practically, managers are urged to prioritize core investments in change management and data integrity, while socially, effective integration can promote market stability and skills growth, contributing to wider socioeconomic progress. In conclusion, the study emphasizes that AI’s transformative promise is not assured by technology alone but depends on strong internal capacity and a supportive external environment. A noted limitation is the single-case focus, which may restrict generalization across other industries. Therefore, it is recommended that firms adopt a phased implementation strategy grounded in solid data governance and pilot projects, while fostering public-private partnerships to address the broader external challenges slowing digital transformation.
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 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 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.
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 |