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 | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 3 | 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): 2026-10-21T07:22:49.790878+00:00 — 2026-10-21T07:22:54.924305+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 | 3 | 2 | 2/2 |
| 2026 | All selected publications | 2 | 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 | 4 | 5 | 2/2 | 2.0 | 2.0 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The last mile of logistics, representing the final stage of product delivery to consumers, is critical for supply chain efficiency and sustainability. Infrastructure inadequacies, urbanisation, and environmental concerns pose challenges to this period in South Africa. This study conducts a systematic evaluation of the literature to investigate the ability of last-mile logistics in South Africa to withstand and maintain throughout time. The PRISMA method and Atlas-ti software are used for thematic analysis. The review highlights important topics such as the development of supply chain management, obstacles in last-mile distribution, the significance of technology, regulatory frameworks, infrastructure improvement, cooperative activities, and the economic and social effects. The findings emphasise the significance of incorporating resilience and sustainability into last-mile logistics in order to enhance operational efficiency, mitigate environmental consequences, and promote socio-economic advancement. The assessment highlights the necessity of joint endeavours, technical advancement, and supporting policies to tackle the distinct issues encountered by South Africa in this field. This study enhances the comprehension of sustainable logistics in South Africa and offers valuable insights for practitioners and policymakers to enhance last-mile logistics operations.
In Kenya, the wholesale and retail sector has been undergoing a difficult time that has seen some of the big retailers closing due to myriad challenges in their performance in the dynamic environment. This study sought to establish the influence of motorcycle delivery innovation on the performance of the wholesale and retail sectors in Kenya. The study was anchored on social exchange theory. The research philosophy adopted for the study was positivism. A descriptive research design using a quantitative approach was used in this study. The study targeted all wholesale and retail shops in 47 counties in Kenya that employed commercial motorcycles for their last-mile delivery of goods. Systematic sampling and simple random sampling techniques were employed to select a sample size of 383 respondents and a questionnaire was used to collect data. Descriptive and inferential analysis was undertaken across all variables using SPSS software. The findings indicated that there was a strong relationship between delivery innovations and the performance of the wholesale and retail businesses in Kenya (0.785). On the hypotheses, the study found that motorcycle delivery innovation had a statistically significant influence on the performance of wholesale and retail businesses in Kenya (t = 16.560, p=0.000 <0.05). The study concluded that motorcycle delivery innovations/solutions have a strong and statistically significant relationship with the performance of wholesale and retail businesses. The study recommends that wholesalers, retailers, and motorcyclists to have collaboration as they have mutual benefits. The study suggests that another study can be conducted to investigate the influence of embracing motorcycles by online businesses on their performance and growth.
The last mile of logistics, representing the final stage of product delivery to consumers, is critical for supply chain efficiency and sustainability. Infrastructure inadequacies, urbanisation, and environmental concerns pose challenges to this period in South Africa. This study conducts a systematic evaluation of the literature to investigate the ability of last-mile logistics in South Africa to withstand and maintain throughout time. The PRISMA method and Atlas-ti software are used for thematic analysis. The review highlights important topics such as the development of supply chain management, obstacles in last-mile distribution, the significance of technology, regulatory frameworks, infrastructure improvement, cooperative activities, and the economic and social effects. The findings emphasise the significance of incorporating resilience and sustainability into last-mile logistics in order to enhance operational efficiency, mitigate environmental consequences, and promote socio-economic advancement. The assessment highlights the necessity of joint endeavours, technical advancement, and supporting policies to tackle the distinct issues encountered by South Africa in this field. This study enhances the comprehension of sustainable logistics in South Africa and offers valuable insights for practitioners and policymakers to enhance last-mile logistics operations.
In Kenya, the wholesale and retail sector has been undergoing a difficult time that has seen some of the big retailers closing due to myriad challenges in their performance in the dynamic environment. This study sought to establish the influence of motorcycle delivery innovation on the performance of the wholesale and retail sectors in Kenya. The study was anchored on social exchange theory. The research philosophy adopted for the study was positivism. A descriptive research design using a quantitative approach was used in this study. The study targeted all wholesale and retail shops in 47 counties in Kenya that employed commercial motorcycles for their last-mile delivery of goods. Systematic sampling and simple random sampling techniques were employed to select a sample size of 383 respondents and a questionnaire was used to collect data. Descriptive and inferential analysis was undertaken across all variables using SPSS software. The findings indicated that there was a strong relationship between delivery innovations and the performance of the wholesale and retail businesses in Kenya (0.785). On the hypotheses, the study found that motorcycle delivery innovation had a statistically significant influence on the performance of wholesale and retail businesses in Kenya (t = 16.560, p=0.000 <0.05). The study concluded that motorcycle delivery innovations/solutions have a strong and statistically significant relationship with the performance of wholesale and retail businesses. The study recommends that wholesalers, retailers, and motorcyclists to have collaboration as they have mutual benefits. The study suggests that another study can be conducted to investigate the influence of embracing motorcycles by online businesses on their performance and growth.
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 |