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: 35 / 35 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 — 25 Oct 2026 04:56 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.
35 / 35 with data · 0 missing or unmatched. Percentages use all 35 selected publications.
35 / 35 with data · 0 missing or unmatched. Percentages use all 35 selected publications.
35 / 35 with data · 0 missing or unmatched. Percentages use all 35 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 | 15 | 15 | 15/15 | 15/15 |
| 2023 | All selected publications | 14 | 14 | 14/14 | 14/14 |
| 2024 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 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 | 34 | 15 | 15/15 | 15/15 |
| 2023 | All selected publications | 32 | 14 | 14/14 | 14/14 |
| 2024 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 51 | 15 | 15/15 | 15/15 |
| 2023 | All selected publications | 42 | 14 | 14/14 | 14/14 |
| 2024 | All selected publications | 4 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 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 35 / 35 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 — 2026-10-25T04:56:57.823358+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 | 35 | 35/35 |
| 2018 | All selected publications | 1 | 35 | 35/35 |
| 2019 | All selected publications | 0 | 35 | 35/35 |
| 2020 | All selected publications | 0 | 35 | 35/35 |
| 2021 | All selected publications | 0 | 35 | 35/35 |
| 2022 | All selected publications | 8 | 35 | 35/35 |
| 2023 | All selected publications | 19 | 35 | 35/35 |
| 2024 | All selected publications | 18 | 35 | 35/35 |
| 2025 | All selected publications | 34 | 35 | 35/35 |
| 2026 | All selected publications | 17 | 35 | 35/35 |
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 | 15 |
| 2023 | 14 |
| 2024 | 5 |
| 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 Research in Business and Social Science SSBFNET | 35 | 68 | 97 | 35/35 | 1.94 | 1 | 62.9 | 35/35 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this study was to explore the antecedents of entrepreneurial intentions among the Tanzanian Higher Business Education Graduates (HBE). The motivation for the study was because, despite the integration of entrepreneurship education (EE) in every degree programme, still many graduates had been unemployed. This cross-sectional study is based on primary data. An in-depth interview was conducted with a sample of 21 HBE graduates from various HBE institutions. Primary data collection was done using in-depth interview guide questions physically done by the researcher. Snowball and purposive sampling approaches were employed to identify respondents for this study. Content analysis method with the aid of NVivo version 11 software package was used to analyse the qualitative data. The study identifies five important antecedents of entrepreneurial intentions, namely, interpersonal traits, EE through competency-based training, planning and focus, successful groups which are close to a prospective entrepreneur, and government support. The findings task entrepreneurship educators, role models, close groups, professional supporters, and the government to concurrently foster the combinations of EE and other factors which were revealed to have the highest predictive power on entrepreneurial intention in the process of nurturing and psychologically developing the students’ entrepreneurial careers of self-reliance and self-employment. This research is novel and contributes to the body of knowledge in the existing antecedents of entrepreneurial intentions: given the emphasis on residual and new antecedents of entrepreneurial intentions essential for promoting the start-ups by the HBE graduates and enabling them to employ themselves.
Worldwide, unemployment is a challenging aspect that faces most of the graduate students. Based on that, students in colleges and universities currently, are clearly aware that they have to engage in self-employment through entrepreneurship. Moreover, the establishment of innovation hubs during collaging has propounded to help upbringings different entrepreneurial and creativity treats among students. Apart from performing incubation of the business ideas, the innovation hubs could be a free innovative centre where students, stakeholders, lecturers, and alumnae meet, work, and collaborate on the range of innovative augmented ideas to stimulate entrepreneur intention. Colleges and universities do not have a proper plan to expose students to practical business environments while studying. Therefore, through mixed research design, this study entails to design and develop a participatory contextual model that will enhance the College of Business Education to establish a free space as the innovation hub for incubating talents, entrepreneurial ideas and research focused on solution-based for students and lecturers. A total of 132 respondents consisting of 20 instructors; 100 students and 12 entrepreneurial practitioners were involved in this study. Data was collected through questionnaires, in-depth interviews, Focus Group Discussions (FGD) and documentary review. The obtained data were analysed through descriptive statistics and thematic content analysis. Based on the findings, it is evident that establishing an incubation and innovation hub within the CBE community is necessary. The findings provide valuable insights into the participants' perceptions and highlight various aspects that should be considered during establishing and implementing the hub. Moreover, the findings stipulate that the incubation and innovation hub should incorporate the prototype environment that includes mindset change programmes, regular training, internship programmes, effective incubation practices, strong mentorship and coaching programmes, and a clear exit strategy that can enhance the entrepreneurial skills and capabilities of incubates
It remains unclear how lack of management succession planning relates to the collapse of 87% of the Tanzanian family-owned manufacturing businesses (FOMBs) after the first generation. Also, the question of whether a firm’s background variables, namely; executive’s education level, business age, and business size, moderate the relationship between management succession planning and the survival of FOMBs remains unanswered. Therefore, this study investigated the relationship between succession planning and the survival of FOMBs, moderated by the firm’s background variables through the lens of resource-based theory as well as agency theory. A sample of 339 executives was randomly drawn from the FOMBs in Dar es Salaam city where the collapse of FOMBs after the first generation was revealed to be significant and surveyed using a structured questionnaire. Multiple linear regression was used as a quantitative data analysis technique with the support of SPSS as an analytical tool. Results revealed that management succession variables, namely; training the successor, successor involvement in business management and successor factors-work fit had a positive and significant relationship with the survival of FOMBs. However, the internal recruitment of the successor had an insignificant relationship with the survival of FOMBs. Therefore, management succession planning sustains the leadership pipeline and survival of the FOMBs through the involvement of the successor in business management, sufficiently training the successor, and handing over power to the successor whose competency and factors fit with the relevant work. The study contributes to an understanding of management succession planning variables and how they relate to the survival of family-owned manufacturing businesses. The study also provides a new conceptual framework on transgenerational management succession planning in the FOMBs.
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.
This paper searches the impact of trade credit on firms’ performance in 15 sub-Saharan African (SSA) countries. In particular, we also examine whether trade credit can advance in an environment of higher financial inclusion rate. We achieve this by using a fixed effect estimation model and solving endogeneity by GMM and IV-2SLS methods by utilizing firm level data from the Bloomberg terminal from 2010 to 2023. Baseline results summarize that firm performance grows with the level of trade credit finance. We find a firm’s industry and SSA blocs heterogeneity the trade credit-firm performance nexus. Additionally, financial inclusion alone is positive and when interacted with trade credit it becomes significant. The major implication among others is that trade credit facilitates more firm performance in a situation of higher financial inclusion level.
In recent times, the use of mobile banking has expanded significantly in Tanzania, but its impact on Savings and Credit Cooperative Society (SACCOS) purposes are still uncertain. This study examined mobile banking's effects on Tanzania's SACCOS, using a quantitative research approach. Purposive sampling was employed to select three SACCOS offering electronic banking services in Dar es Salaam and Kilimanjaro regions, with a total sample size of 64 employees and supplemented them with secondary data from 2020 to 2024 from SACCOS reports and financial statements. Statistical analysis was used to describe mobile banking usage and regression analysis was performed to evaluate the correlation between mobile banking usage and return on assets (ROA). The results showed a favourable correlation between mobile banking and performance (ROA), mobile banking was favorably viewed for improving accessibility and efficiency. Mobile banking positively affects SACCOS in Tanzania by offering and enhancing new ways of addressing financial barriers. Emphasizing the need for SACCOS to adopt the evolving technological innovations and other electronic banking features. Despite the existing challenges, SACCOS continually strive to minimize such challenges. The study recommends that SACCOS should set up robust customer support systems to address technical and security issues, streamlined regulatory compliance and mitigate the challenges associated with the adoption of mobile banking. This conclusion emphasizes the dual need for technological advancement and organizational support to fully leverage mobile banking as a tool for financial growth and inclusion in cooperative societies.
This study assessed the impact of improved urban road network on financial performance of Small and Medium Enterprises focusing in Dodoma, Tanzania. The study employed a cross sectional research design where by a sample of 89 SMEs from the selected three wards in Dodoma city was used to draw the conclusion. Qualitative data collected through questionnaires were analyzed using content analysis while quantitative data analyzed using descriptive statistics and multiple regression analysis. The key findings from the study include: i) accessible roads to customers toward SME were having positive influence to SMEs performance ii) market accessibility by customers and consumers was the key factor in improving SMEs financial performance in Dodoma city and lastly, an effective time management and improved transportation of goods and services were positive related to the amount of sales revenue generated by SMEs. The conclusion is drawn to improve the urban road networks as among of the key factors in improving the performance of SMEs in Dodoma city by increasing sales and profit. It is therefore recommended that, the government and other stakeholders in the construction sector should continue to improve urban road networks and start offering basic business and financial management skills which would enable SMEs owners to make informed investment decisions as well as enhance their entrepreneurial skills which will facilitate in recognizing and exploiting the available business opportunities.
The study analyzed the impact of non-aeronautical revenues on airport performance at Julius Nyerere International Airport in Dar es salaam, Tanzania. The study used longitudinal design in which time series data from financial statements and integrated reports for the financial years 2017/18 to 2020/21 was undertaken. The Multiple linear regression models were employed in analyzing the contribution of non- aeronautical revenues on improving the airport facilities. Findings of the study demonstrated that, i) rental fees and car parking charges impacted positively the improvement of the airport facilities, ii) advertisement also positive and significantly contributed on the improvement of the airport facilities at Julius Nyerere International Airport. This implies that, JNIA can further increase its total revenues by expanding the scope of retail operations at the airports under its jurisdiction as additional sources of income. It is recommended that airport managements and other stakeholders responsible for airports’ infrastructure and transport to expand more use of NARVs sources so as to improve the service delivery for their passengers and gain more revenues for future financial stability.
The purpose of this study was to assess factors affecting succession planning in family-owned fish trading SMEs businesses in Mwanza city. The research utilized quantitative methodologies to evaluate the effect of individual, familial, and organizational factors on succession planning within family-owned small and medium-sized enterprises (SMEs) in Mwanza city. Chi-square analyses revealed that leadership, delegation, the ability to disassociate from the business, and successor preferences significantly influence succession planning. Moreover, the interest and abilities of the successor plays a crucial role in the planning process. The study further found that family-level factors, including traditions, compensating family members, formal communication forums, and the desire to maintain family control, also significantly affect succession planning. Regression analyses indicated that individual factors such as leadership, delegation, and the abilities of potential successors positively influenced succession planning. At the family level, practices like compensating family members and establishing formal communication channels significantly contributed to succession planning, while traditional practices like favouring the eldest son as a successor did not have a substantial impact. Additionally, the study identified that the readiness of the successor, the presence of a clear and documented succession plan, effective board governance, a well-defined organizational structure, and the existence of a written strategic plan were key predictors of successful succession planning. The findings suggest that businesses with well-defined and specific succession plans, identified successors, and active development plans for the next generation are more likely to achieve success in shaping succession planning within family-owned fish trading SMEs, providing a solid foundation for successful ownership transitions. This research offers valuable insights for future research and policy development concerning SME succession planning and business sustainability.
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 |