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: 2 / 2 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 — 22 Oct 2026 02:39 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 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 2 / 2 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:54.894090+00:00 — 2026-10-22T02:39:59.626255+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 1 | 2 | 2/2 |
| 2024 | All selected publications | 1 | 2 | 2/2 |
| 2025 | All selected publications | 2 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 | 1 |
| 2024 | 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 | 2 | 1 | 4 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study examined the influence of undergraduate experience on alumni loyalty to their alma mater in Tanzania’s higher education context. Specifically, the study sought to examine the extent to which alumni are satisfied with their undergraduate academic and social experiences and the influence thereof on their loyalty towards their former universities or colleges. The study involved a questionnaire survey to collect primary data from a conveniently selected sample of 188 Tanzanians who had bachelor's degrees from various Tanzania universities and colleges. Descriptive statistics using mean values were used to measure the satisfaction level. To estimate the influence of alumni satisfaction with their undergraduate experience on loyalty to their alma mater, Binary Logistic Regression Model was used. Overall, the findings indicate that alumni were satisfied with their undergraduate experience and their time as students. Further, Binary Logistic Regression results indicate that satisfaction with undergraduate experience positively and significantly influences alumni loyalty to their alma mater. It is reasonable to conclude from this evidence, that alumni loyalty can be created, reinforced and retained through favorable students’ experiences. Thus, Tanzania’s Higher Education Institutions (HEIs) should improve their level of students’ experience so as to increase their level of satisfaction and consequently enforce their loyalty. The study adds value in the context of Tanzanian HEIs since it provides a base on how to determine strategies to create, reinforce and maintain alumni loyalty through a favorable student experience.
This study aimed to assess the influence of service quality on customer satisfaction within Air Tanzania Company Limited (ATCL) in Dar es Salaam, with a specific focus on the influence of tangible elements, personal services, and airline image. The study adopted a theoretical framework based on the Expectancy Disconfirmation Theory and the AIRQUAL Model for understanding the relationship between service quality and customer satisfaction. To achieve the study’s objectives, a cross-sectional research design was employed, allowing for the collection of data from a diverse sample of ATCL customers. The sample was selected using a combination of simple random sampling and purposive sampling techniques. A total of 302 ATCL customers and 8 supervisors from ATCL participated in the study, providing valuable insights into their perceptions of service quality and its effect on their overall satisfaction. Data collection was primarily conducted through structured questionnaires and face-to-face interviews. The data was analyzed using Binary Logistic Regression in IBM SPSS Statistics 23, allowing for the identification of significant relationships between service quality dimensions and customer satisfaction. The analysis of perceived service quality dimensions showed that customers' perceptions of ATCL’s service quality fell short of their expectations, with negative scores across all dimensions. This suggests a general dissatisfaction among customers with the service quality provided by ATCL. Specifically, the rankings indicated that airline image was the top contributor to dissatisfaction. The overall index score for service quality further supported these findings, registering at -0.3996. The binary logistic regression results indicated significant positive relationships between all three dimensions (tangible elements, personal services, and airline image) and customer satisfaction. To maintain service quality standards, collaboration between policymakers and ATCL management is crucial to establishing guidelines as well as conducting regular audits, allocating enough resources for tangible improvements and investing in employee training for better customer interactions.
This study aimed to assess the influence of service quality on customer satisfaction within Air Tanzania Company Limited (ATCL) in Dar es Salaam, with a specific focus on the influence of tangible elements, personal services, and airline image. The study adopted a theoretical framework based on the Expectancy Disconfirmation Theory and the AIRQUAL Model for understanding the relationship between service quality and customer satisfaction. To achieve the study’s objectives, a cross-sectional research design was employed, allowing for the collection of data from a diverse sample of ATCL customers. The sample was selected using a combination of simple random sampling and purposive sampling techniques. A total of 302 ATCL customers and 8 supervisors from ATCL participated in the study, providing valuable insights into their perceptions of service quality and its effect on their overall satisfaction. Data collection was primarily conducted through structured questionnaires and face-to-face interviews. The data was analyzed using Binary Logistic Regression in IBM SPSS Statistics 23, allowing for the identification of significant relationships between service quality dimensions and customer satisfaction. The analysis of perceived service quality dimensions showed that customers' perceptions of ATCL’s service quality fell short of their expectations, with negative scores across all dimensions. This suggests a general dissatisfaction among customers with the service quality provided by ATCL. Specifically, the rankings indicated that airline image was the top contributor to dissatisfaction. The overall index score for service quality further supported these findings, registering at -0.3996. The binary logistic regression results indicated significant positive relationships between all three dimensions (tangible elements, personal services, and airline image) and customer satisfaction. To maintain service quality standards, collaboration between policymakers and ATCL management is crucial to establishing guidelines as well as conducting regular audits, allocating enough resources for tangible improvements and investing in employee training for better customer interactions.
This study examined the influence of undergraduate experience on alumni loyalty to their alma mater in Tanzania’s higher education context. Specifically, the study sought to examine the extent to which alumni are satisfied with their undergraduate academic and social experiences and the influence thereof on their loyalty towards their former universities or colleges. The study involved a questionnaire survey to collect primary data from a conveniently selected sample of 188 Tanzanians who had bachelor's degrees from various Tanzania universities and colleges. Descriptive statistics using mean values were used to measure the satisfaction level. To estimate the influence of alumni satisfaction with their undergraduate experience on loyalty to their alma mater, Binary Logistic Regression Model was used. Overall, the findings indicate that alumni were satisfied with their undergraduate experience and their time as students. Further, Binary Logistic Regression results indicate that satisfaction with undergraduate experience positively and significantly influences alumni loyalty to their alma mater. It is reasonable to conclude from this evidence, that alumni loyalty can be created, reinforced and retained through favorable students’ experiences. Thus, Tanzania’s Higher Education Institutions (HEIs) should improve their level of students’ experience so as to increase their level of satisfaction and consequently enforce their loyalty. The study adds value in the context of Tanzanian HEIs since it provides a base on how to determine strategies to create, reinforce and maintain alumni loyalty through a favorable student experience.
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 |