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 07:23 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 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): 2026-10-21T07:22:54.129560+00:00 — 2026-10-21T07:23:00.749915+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 | 1 | 2 | 2/2 |
| 2025 | All selected publications | 1 | 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 |
|---|---|
| 2024 | 1 |
| 2025 | 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 | 4 | 2/2 | 2.0 | 2.0 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Company operations and global trade necessitate storage. Warehouse management is essential for meeting customer expectations, ensuring product availability, and delivering globally swiftly and affordably. A company's international competitiveness can suffer from warehouse instability. This study assesses warehouse performance for competitive advantage. The report also explores top management's disregard for warehouse management's impact on manufacturing competitiveness. This paper reviews warehouse management system research from several industries. Reviewing literature for gaps and flaws. Quantitative methods include industrial specialized surveys. Three varied South African manufacturing enterprises will be case-studied. Deduction is used to analyze industry expert consultation data. Due to its accessibility and data collection suitability, convenience sampling was employed to choose participants. This study discovered many warehouse management issues in South African industrial firms. Integration and automation are lacking in current systems, hampering global competitiveness. Warehouse movements and infrastructure damage increased without zone selection. Technology-illiterate warehouse workers slowed operations. The study offers zone picking, warehouse training, and warehouse system integration and automation to address these difficulties. South African industrial firms should strengthen warehouse management systems, according to this study. These organizations can enhance operational efficiency, save money, and compete globally with the suggested changes. Zone picking, warehouse system integration, and worker technical training can alleviate challenges and provide companies an edge. This study highlights warehouse management's often overlooked significance in manufacturing competitiveness. International organizations can do better by studying warehouse management system problems and solutions. Practical warehouse management advice from this study increases South African industry competitiveness.
The study seeks to examine the determinants affecting warehouse performance, emphasising the impact of warehouse management systems on improving the worldwide competitiveness of South African steel manufacturing firms. It aims to underscore the difficulties in existing procedures and the strategic significance of proficient warehouse management. The study utilised a qualitative methodology to examine warehouse management methods in South African steel manufacturing firms. Data was gathered via structured interviews and questionnaires to ascertain current management system frameworks, picking methodologies, and the incorporation of automated solutions. The results indicate that the majority of South African steel manufacturers employ non-automated and non-integrated warehouse management systems. A notable deficiency in formal picking systems and zone picking was seen, leading to inefficient operations, excessive moves, and a failure to attain a competitive advantage in the worldwide market. The report emphasises a widespread undervaluation of warehouse management's strategic importance by senior management in enhancing manufacturing competitiveness. This report emphasises the necessity for South African steel manufacturing firms to implement integrated and automated warehouse management systems to optimise processes and improve global competitiveness. The enhancement of warehouse operations, particularly through the adoption of formal picking methods, could markedly diminish operational inefficiencies and elevate consumer satisfaction. This study offers significant insights into the constraints of existing warehouse management procedures in South Africa's steel manufacturing industry. By pinpointing particular obstacles and opportunities for enhancement, it provides actionable recommendations for utilising warehouse management as a competitive edge in the global marketplace.
The study seeks to examine the determinants affecting warehouse performance, emphasising the impact of warehouse management systems on improving the worldwide competitiveness of South African steel manufacturing firms. It aims to underscore the difficulties in existing procedures and the strategic significance of proficient warehouse management. The study utilised a qualitative methodology to examine warehouse management methods in South African steel manufacturing firms. Data was gathered via structured interviews and questionnaires to ascertain current management system frameworks, picking methodologies, and the incorporation of automated solutions. The results indicate that the majority of South African steel manufacturers employ non-automated and non-integrated warehouse management systems. A notable deficiency in formal picking systems and zone picking was seen, leading to inefficient operations, excessive moves, and a failure to attain a competitive advantage in the worldwide market. The report emphasises a widespread undervaluation of warehouse management's strategic importance by senior management in enhancing manufacturing competitiveness. This report emphasises the necessity for South African steel manufacturing firms to implement integrated and automated warehouse management systems to optimise processes and improve global competitiveness. The enhancement of warehouse operations, particularly through the adoption of formal picking methods, could markedly diminish operational inefficiencies and elevate consumer satisfaction. This study offers significant insights into the constraints of existing warehouse management procedures in South Africa's steel manufacturing industry. By pinpointing particular obstacles and opportunities for enhancement, it provides actionable recommendations for utilising warehouse management as a competitive edge in the global marketplace.
Company operations and global trade necessitate storage. Warehouse management is essential for meeting customer expectations, ensuring product availability, and delivering globally swiftly and affordably. A company's international competitiveness can suffer from warehouse instability. This study assesses warehouse performance for competitive advantage. The report also explores top management's disregard for warehouse management's impact on manufacturing competitiveness. This paper reviews warehouse management system research from several industries. Reviewing literature for gaps and flaws. Quantitative methods include industrial specialized surveys. Three varied South African manufacturing enterprises will be case-studied. Deduction is used to analyze industry expert consultation data. Due to its accessibility and data collection suitability, convenience sampling was employed to choose participants. This study discovered many warehouse management issues in South African industrial firms. Integration and automation are lacking in current systems, hampering global competitiveness. Warehouse movements and infrastructure damage increased without zone selection. Technology-illiterate warehouse workers slowed operations. The study offers zone picking, warehouse training, and warehouse system integration and automation to address these difficulties. South African industrial firms should strengthen warehouse management systems, according to this study. These organizations can enhance operational efficiency, save money, and compete globally with the suggested changes. Zone picking, warehouse system integration, and worker technical training can alleviate challenges and provide companies an edge. This study highlights warehouse management's often overlooked significance in manufacturing competitiveness. International organizations can do better by studying warehouse management system problems and solutions. Practical warehouse management advice from this study increases South African industry competitiveness.
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 |