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 07:23 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.
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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
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): 2026-10-21T07:23:04.619090+00:00 — 2026-10-21T07:23:09.650254+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 |
|---|---|
| 2026 | 2 |
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.
The AfCFTA presents significant opportunities for manufacturing SMEs in Namibia to expand into regional markets. However, limited evidence exists regarding the extent to which these enterprises are logistically prepared to participate effectively in continental trade. This study aims to examine the logistical readiness of GS1-registered manufacturing SMEs in Namibia to participate in trade under the AfCFTA. In this paper, it is also aimed to assess SMEs’ awareness of AfCFTA compliance requirements, identify key logistical challenges, and evaluate operational capability gaps related to supply chain documentation, inventory management, and export logistics. The study is underpinned by the Resource-Based View, Institutional Theory, and Trade Facilitation Theory. A qualitative research approach was employed using open-ended questionnaires and semi-structured interviews. A dataset comprising responses from representatives of GS1-registered manufacturing SMEs operating in sectors such as food processing, cosmetics, agro-processing, textiles, and light manufacturing was analysed. Data were collected during 2025 and analysed using reflective thematic analysis supported by Atlas.ti 23 software. The main findings of the study demonstrate that: (i) although awareness of the AfCFTA exists among SMEs, knowledge of specific compliance requirements, including rules of origin, customs documentation, and regulatory procedures, remains limited; (ii) significant internal logistical and operational capability gaps persist, particularly in export skills, inventory management systems, and logistics planning; and (iii) external barriers, including high transport costs, regulatory complexities, and inadequate institutional coordination, constrain SMEs’ readiness to exploit AfCFTA opportunities. The study concludes that GS1 registration is a necessary but insufficient condition for trade readiness and recommends targeted capacity-building initiatives, improved trade facilitation measures, and stronger institutional support to enhance SME participation in continental trade.
This study seeks to evaluate the efficacy of storage in the South African automobile industry, pinpointing difficulties and prospective methods for enhancement. It aims to ascertain how effective warehousing might aid in surmounting logistical challenges and enhancing overall supply chain performance. A qualitative study methodology was utilised to investigate the influence of storage on the automobile industry in South Africa. Exploratory and descriptive research designs were employed to fulfil the research objectives. The target group comprised supply chain specialists from specific automotive manufacturers in Gauteng Province. A purposive sampling method was employed, and data were gathered via structured interviews with 15 individuals. The data were examined via ATLAS.ti Qualitative Data Analysis Software (QDAS), resulting in the identification of principal themes and sub-themes. The research indicated that warehousing is crucial in mitigating obstacles encountered by the South African automotive sector, such as unreliable rail transit, restricted capacity, and elevated port expenses. The incorporation of automation, digital technology, and Industry 4.0 concepts could markedly improve warehousing efficiency. Essential recommendations for enhancing warehousing efficiency encompass the implementation of automated technologies, adherence to circular economy principles, and investment in quality management best practices. The results offer practical suggestions for automobile manufacturers and supply chain experts to enhance warehouse operations. By adopting innovative technologies and optimal processes, organisations may tackle current difficulties, lower operating expenses, and secure a competitive advantage in the South African market. The research underscores the necessity of synchronising warehouse strategies with overarching trends in digital transformation and sustainability. This study enhances the existing knowledge on warehousing in the automotive industry, specifically in the South African setting. It offers distinctive perspectives on how technical advancements and industry trends can enhance warehousing operations and assist the sector in addressing region-specific difficulties. The study emphasises the significance of a comprehensive strategy in warehousing, incorporating automation, digital technology, and sustainability principles.
The AfCFTA presents significant opportunities for manufacturing SMEs in Namibia to expand into regional markets. However, limited evidence exists regarding the extent to which these enterprises are logistically prepared to participate effectively in continental trade. This study aims to examine the logistical readiness of GS1-registered manufacturing SMEs in Namibia to participate in trade under the AfCFTA. In this paper, it is also aimed to assess SMEs’ awareness of AfCFTA compliance requirements, identify key logistical challenges, and evaluate operational capability gaps related to supply chain documentation, inventory management, and export logistics. The study is underpinned by the Resource-Based View, Institutional Theory, and Trade Facilitation Theory. A qualitative research approach was employed using open-ended questionnaires and semi-structured interviews. A dataset comprising responses from representatives of GS1-registered manufacturing SMEs operating in sectors such as food processing, cosmetics, agro-processing, textiles, and light manufacturing was analysed. Data were collected during 2025 and analysed using reflective thematic analysis supported by Atlas.ti 23 software. The main findings of the study demonstrate that: (i) although awareness of the AfCFTA exists among SMEs, knowledge of specific compliance requirements, including rules of origin, customs documentation, and regulatory procedures, remains limited; (ii) significant internal logistical and operational capability gaps persist, particularly in export skills, inventory management systems, and logistics planning; and (iii) external barriers, including high transport costs, regulatory complexities, and inadequate institutional coordination, constrain SMEs’ readiness to exploit AfCFTA opportunities. The study concludes that GS1 registration is a necessary but insufficient condition for trade readiness and recommends targeted capacity-building initiatives, improved trade facilitation measures, and stronger institutional support to enhance SME participation in continental trade.
This study seeks to evaluate the efficacy of storage in the South African automobile industry, pinpointing difficulties and prospective methods for enhancement. It aims to ascertain how effective warehousing might aid in surmounting logistical challenges and enhancing overall supply chain performance. A qualitative study methodology was utilised to investigate the influence of storage on the automobile industry in South Africa. Exploratory and descriptive research designs were employed to fulfil the research objectives. The target group comprised supply chain specialists from specific automotive manufacturers in Gauteng Province. A purposive sampling method was employed, and data were gathered via structured interviews with 15 individuals. The data were examined via ATLAS.ti Qualitative Data Analysis Software (QDAS), resulting in the identification of principal themes and sub-themes. The research indicated that warehousing is crucial in mitigating obstacles encountered by the South African automotive sector, such as unreliable rail transit, restricted capacity, and elevated port expenses. The incorporation of automation, digital technology, and Industry 4.0 concepts could markedly improve warehousing efficiency. Essential recommendations for enhancing warehousing efficiency encompass the implementation of automated technologies, adherence to circular economy principles, and investment in quality management best practices. The results offer practical suggestions for automobile manufacturers and supply chain experts to enhance warehouse operations. By adopting innovative technologies and optimal processes, organisations may tackle current difficulties, lower operating expenses, and secure a competitive advantage in the South African market. The research underscores the necessity of synchronising warehouse strategies with overarching trends in digital transformation and sustainability. This study enhances the existing knowledge on warehousing in the automotive industry, specifically in the South African setting. It offers distinctive perspectives on how technical advancements and industry trends can enhance warehousing operations and assist the sector in addressing region-specific difficulties. The study emphasises the significance of a comprehensive strategy in warehousing, incorporating automation, digital technology, and sustainability principles.
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 |