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: 9 / 9 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 00:22 UTC — 21 Oct 2026 07:23 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.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 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 | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 | 239 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 30 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 11 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 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 | 350 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 32 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 14 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 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 9 / 9 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): 2026-10-21T00:22:06.118678+00:00 — 2026-10-21T07:23:08.216312+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 | 9 | 9/9 |
| 2018 | All selected publications | 0 | 9 | 9/9 |
| 2019 | All selected publications | 0 | 9 | 9/9 |
| 2020 | All selected publications | 0 | 9 | 9/9 |
| 2021 | All selected publications | 0 | 9 | 9/9 |
| 2022 | All selected publications | 6 | 9 | 9/9 |
| 2023 | All selected publications | 48 | 9 | 9/9 |
| 2024 | All selected publications | 140 | 9 | 9/9 |
| 2025 | All selected publications | 132 | 9 | 9/9 |
| 2026 | All selected publications | 70 | 9 | 9/9 |
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 | 3 |
| 2023 | 1 |
| 2024 | 2 |
| 2025 | 2 |
| 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 Finance & Banking Studies SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 8 | 280 | 396 | 8/8 | 35.0 | 16.0 | 75.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to evaluate the factors that influence data saturation in qualitative studies. The study adopted a systematic literature review of 24 journal articles published between 2018 and 2022. The articles were obtained from a Google scholar database. The findings point to five factors that affect data saturation namely, pre-determined codes and themes, sample size, relevancy of research subjects (respondents), number of research methods, and length of data collection sessions. It is argued in this paper, therefore, that in order to attain data saturation, researchers should consider multiple factors that may affect data saturation in order to increase the validity of qualitative studies.
This study examines the strengths and limitations of 22 published journal articles by conducting a systematic literature review. The review revealed that the qualitative approach was flexible, offered in-depth and detailed information, allowed the use of multiple data collection methods and minimised the chance of having missing data. The approach was found (i) to integrate human touch, was cost-effective and was indeed the only option in some cases of research problems; (ii) to be prone to researchers’ subjectivity, involves complex data analysis, makes anonymity difficult and has limited scope in its generalizability, and (iii) to make replication of findings challenging, and the findings may be influenced by the researcher’s bias. It is concluded, therefore, that researchers should take necessary precautions when using the approach to ensure that the weaknesses of qualitative research do not bar them from achieving research objectives.
This study aimed to explore how soft skills development is done in higher education institutions (HEIs) by considering the roles of HEIs and students. The study used a mixed research approach comprising qualitative and quantitative methods. Qualitative data was collected from 16 students using semi-structured interviews. In comparison, quantitative data was collected using a standard questionnaire from 342 students pursuing management and administrative undergraduate programmes in one of the universities in Tanzania. Through questionnaires, participants were asked to rank soft skills according to their relevance to their careers. The top five most relevant soft skills identified were communication, leadership, decision-making, teamwork/orientation and problem-solving. In addition, participants self-evaluated their levels of soft skills. Findings demonstrate that students perceived to have more customer orientation, communication, decision-making, problem-solving, and work-ethic skills. Through qualitative interviews, participants narrated the role of HEIs in developing soft skills and their personal initiatives to acquire the skills. It was found that joining clubs and associations, taking leadership roles, reading self-development books, watching videos and attending soft skills training are initiatives that students use for soft skills acquisition.
Novice and experienced researchers may encounter numerous methodological challenges when it comes to data collection. Data have to be collected from the right sources using appropriate data collection tools to make research studies impactful. There are numerous data collection methods that researchers may use but not all methods are appropriate for all research studies. Choosing inappropriate research methods may result in invalid research findings and lead to erroneous conclusions. This means researchers have to carefully choose data collection methods to make their studies achieve their respective goals. This study intended to identify factors that researchers have to consider in choosing data collection methods. A systematic literature review was used to analyze 28 journal articles published between 2018 and 2022. From the analysis the study identified ten (10) factors that researchers have to consider in choosing data collection methods. These factors are; the research goal, the scope of the study, sample size, type of data, time and user-friendliness to the subjects. Other factors are research approach, safety and security of a researcher, the need for triangulation and theoretical framework. Before choosing methods for data collection, it is important to put into consideration these factors to increase the chances of achieving research objectives and answering research questions of research projects.
This study examined the role of soft skills, technical skills and academic performance on graduate employability. The study was underpinned by the Human Capital Theory. By using a positivist quantitative approach data were collected from one higher education institution in Tanzania. The study used a sample of 217 final year students who filled a standard questionnaire. Data analysis employed descriptive and inferential statistics. The study found that soft skills (r=.644, p<.05), technical skills (r=.593, p<.05) and academic performance (r=.376, p<.05) individually predict perceived graduate employability. As per the findings, students with better soft and technical skills have a higher chance of getting employed. On the other hand, students with higher academic performance as measured by grade point average (GPA) are more employable than those with lower performance. Controlling these three independent variables depends on efforts of various stakeholders. This research calls for collective efforts of educators, policy makers, students, regulatory authorities and other stakeholders to work in ensuring that right and relevant skills are provided in HEIs and there is a supportive environment for students to perform better academically.
This research examines the factors that influence the adoption of the ID badge-wearing policy and the subsequent use of ID badges in public offices at Dar es Salaam referral hospitals. The study also evaluates the impact of the badge policy on workplace efficiency and compliance, and analyses the perceived benefits and challenges associated with its implementation. Data was collected through interviews with employees. The study population comprised 800 public servants from various departments and roles at Dar-es-Salaam referral hospitals: Mwananyamala, Temeke, Amana, and Ubungo District Hospitals. Using simple random sampling, participants were selected from a comprehensive list of employees, ensuring everyone had an equal chance of selection. A final sample size of 260 public servants was chosen, representing approximately 33% of the population, to ensure reliable and generalizable results. ID badges policy received initial organizational-wide adoption and was driven by their perceived role in enhancing security and professionalism. Badges were found useful for quick identification of staff and for restricting unauthorized access to sensitive areas. However, they had minimal impact on routine tasks. Compliance was linked to accountability and professionalism, but without strong management support, adherence varied. Key barriers included: delays in replacing lost or damaged badges, lack of regular enforcement by supervisors, and dissatisfaction with the design and practicality of the badges. The findings indicate that while badges contribute to security by restricting access to sensitive areas and enhancing quick identification, their influence on day-to-day operations is minimal, as other performance support factors are required as well to influence change, such as employees’ buy-in, continuous monitoring, and feedback. Recommendations to improve adherence include modernizing the badge design, reducing replacement delays, integrating digital badges, providing regular reminders, and offering incentives for consistent use.
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.
This study explores the factors influencing youth entrepreneurs in Tanzania to adopt crowdlending as an alternative source of finance and the challenges they encounter in the process. Using a qualitative case study approach, interviews were conducted with 15 young entrepreneurs who successfully accessed loans through a crowdlending platform. Thematic analysis was conducted through transcription, coding, and theme development processes. The findings indicate that financial necessity and limited access to traditional banking were the primary motivators for adopting crowdlending. However, the study also found that entrepreneurs often have a limited understanding of the crowdfunding process, as many access the platform through intermediaries. Additionally, the study identifies high interest rates and transaction costs imposed by financial intermediaries as major barriers to the perceived benefits of crowdlending. The findings underscore the importance of tailored financial literacy initiatives, user-centred platform design, and policy frameworks to unlock crowdlending’s potential for inclusive youth entrepreneurship in Tanzania.
Writing and publishing scientific and rigorous work needs a high level of integrity and adherence to ethical guidelines. Several publications have been rejected by authentic journals as a result of not adhering to a deontological standpoint. This laxity has posed deadly repercussions to the beholder including ruining its institutional image in academic scholarship. Notwithstanding, numerous writers are acquainted with the consequences of not observing ethical standards in research and publication, yet in trying to put up their pieces of work get caught in the same quandary. Anchored on a thematically oriented review of literature, it was imperative to try to explain the key ethical misconduct bases in research and publication. To fulfil this quest many journal articles were analysed. It was found that numerous aspects form the basis for misconduct in research and publication including; the pressure to ‘publish or perish’, the limitation of mentorship and guidance programs, knowledge on research and publication, promotion and academic advancement, competition among colleagues, workload pressure, financial motives, pressure from individual morality, and the challenge of research culture. Consequently, it is imperative to note that to publish a scholarly piece of work, adhering to ethical standards is non-negotiable.
This study examined the role of soft skills, technical skills and academic performance on graduate employability. The study was underpinned by the Human Capital Theory. By using a positivist quantitative approach data were collected from one higher education institution in Tanzania. The study used a sample of 217 final year students who filled a standard questionnaire. Data analysis employed descriptive and inferential statistics. The study found that soft skills (r=.644, p<.05), technical skills (r=.593, p<.05) and academic performance (r=.376, p<.05) individually predict perceived graduate employability. As per the findings, students with better soft and technical skills have a higher chance of getting employed. On the other hand, students with higher academic performance as measured by grade point average (GPA) are more employable than those with lower performance. Controlling these three independent variables depends on efforts of various stakeholders. This research calls for collective efforts of educators, policy makers, students, regulatory authorities and other stakeholders to work in ensuring that right and relevant skills are provided in HEIs and there is a supportive environment for students to perform better academically.
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 |