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 — 21 Oct 2026 07:22 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | 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 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): 2026-10-21T07:22:47.397388+00:00 — 2026-10-21T07:22:54.148149+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 | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 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 |
|---|---|
| 2023 | 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 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study determines the challenges faced by Local Government Authorities in the use of e-record keeping for Human Resource Management (HRM). The study was conducted at Morogoro Municipal Council (MMC) as among the Local Government Authorities (LGAs) which continue to use paper-based record keeping in Tanzania. A case study design was employed to ensure an in-depth understanding of the phenomenon. A questionnaire and interviews were used in collecting data from 107 respondents. Data from the questionnaire were analysed descriptively through the Statistical Package for Social Sciences (SPSS) whereby means and standard deviatons were calculated. On the other hand, data from interviews were analysed through content analysis. The study was guided by two models, which are Kurt Lewin’s Change Management Model, as the guiding model, and ADKAR Change Management Model, as the supporting model. The study revealed lack of reliable internet service, lack of top management support, inadequate IT experts, staff resistance, and inadequate funds as the main challenges facing MMC in the use of electronic record (e-record) keeping for HRM. This implies that, in some cases, the government formulates good policies without ensuring a conducive environment for their implementation. In the light of the revealed challenges, the study recommends that LGAs especially MMC should take initiatives to develop and implement a comprehensive e-governance programme that, among other things, will address the revealed challenges. In addition, the government should creation environments that support implementation of its policies particularly those related to ICT and e-governance.
The current perspective of understanding development focuses on including all members of society participating in the growth process, primarily through digital technology. This paper examines social media for promoting inclusive growth in Tanzania. More specifically, the study aims to investigate the social media site that youth citizens widely use to discuss government economic issues for fostering inclusive growth, how youth citizens use the perceived widely used social media to participate in discussing government issues for inclusive growth, and how does the government encourage citizens’ use of social media to discuss government issues for inclusive growth. The study was conducted in Dodoma City and employed mixed research methods using survey and interview data collection methods. Findings show that youth citizens mainly prefer using WhatsApp social media to discuss economic issues to promote inclusive economic growth in the study area. The study also found that youth citizens in the study area use WhatsApp social media to spot government actions and voice their opinions for inclusive growth. The study concludes that WhatsApp social media is a gateway to accelerate inclusive growth in the study area. It suggests a networked digital policymaking framework to encourage citizens to openly discuss and publish government issues on social media without fear to accelerate inclusive growth in the country. Also, it suggests an established framework for collecting citizens’ opinions on social media for government decision-making practices to imply that citizens’ views are considered for inclusive growth in Tanzania.
This study determines the challenges faced by Local Government Authorities in the use of e-record keeping for Human Resource Management (HRM). The study was conducted at Morogoro Municipal Council (MMC) as among the Local Government Authorities (LGAs) which continue to use paper-based record keeping in Tanzania. A case study design was employed to ensure an in-depth understanding of the phenomenon. A questionnaire and interviews were used in collecting data from 107 respondents. Data from the questionnaire were analysed descriptively through the Statistical Package for Social Sciences (SPSS) whereby means and standard deviatons were calculated. On the other hand, data from interviews were analysed through content analysis. The study was guided by two models, which are Kurt Lewin’s Change Management Model, as the guiding model, and ADKAR Change Management Model, as the supporting model. The study revealed lack of reliable internet service, lack of top management support, inadequate IT experts, staff resistance, and inadequate funds as the main challenges facing MMC in the use of electronic record (e-record) keeping for HRM. This implies that, in some cases, the government formulates good policies without ensuring a conducive environment for their implementation. In the light of the revealed challenges, the study recommends that LGAs especially MMC should take initiatives to develop and implement a comprehensive e-governance programme that, among other things, will address the revealed challenges. In addition, the government should creation environments that support implementation of its policies particularly those related to ICT and e-governance.
The current perspective of understanding development focuses on including all members of society participating in the growth process, primarily through digital technology. This paper examines social media for promoting inclusive growth in Tanzania. More specifically, the study aims to investigate the social media site that youth citizens widely use to discuss government economic issues for fostering inclusive growth, how youth citizens use the perceived widely used social media to participate in discussing government issues for inclusive growth, and how does the government encourage citizens’ use of social media to discuss government issues for inclusive growth. The study was conducted in Dodoma City and employed mixed research methods using survey and interview data collection methods. Findings show that youth citizens mainly prefer using WhatsApp social media to discuss economic issues to promote inclusive economic growth in the study area. The study also found that youth citizens in the study area use WhatsApp social media to spot government actions and voice their opinions for inclusive growth. The study concludes that WhatsApp social media is a gateway to accelerate inclusive growth in the study area. It suggests a networked digital policymaking framework to encourage citizens to openly discuss and publish government issues on social media without fear to accelerate inclusive growth in the country. Also, it suggests an established framework for collecting citizens’ opinions on social media for government decision-making practices to imply that citizens’ views are considered for inclusive growth in Tanzania.
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 |