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: 3 / 3 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 00:22 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 3 / 3 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): 2026-10-21T00:22:06.106870+00:00 — 2026-10-21T07:23:09.646308+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 |
|---|---|
| 2025 | 1 |
| 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 Finance & Banking Studies SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| 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 examines the implementation of the vMedis ERP system at Greencare Pharmacy using Balanced Scorecard (BSC) and SWOT analysis. The research evaluates financial, customer, internal process, and learning perspectives, revealing significant improvements post-implementation. Key findings include a 15% profit margin increase, enhanced customer satisfaction, streamlined inventory management, and improved staff competencies. Statistical analysis using the Wilcoxon Signed-Rank Test confirmed that these improvements across the BSC perspectives were significant (p < 0.05). SWOT analysis highlights internal strengths, such as financial stability and advanced technology adoption, and external opportunities like market growth potential. Challenges include regulatory complexity and high competition. Overall, vMedis demonstrates its effectiveness in enhancing operational efficiency and competitiveness in the healthcare sector.
The effective utilisation of Integrated Logistics Systems (ILS) is increasingly recognised as a critical enabler of operational efficiency, accountability, and readiness within defence organisations. The study investigated the utilisation of Integrated Logistics Systems within the Ministry of Defence and Veteran Affairs (MODVA) in the Khomas region of Namibia. A qualitative research approach was utilised, and data was gathered through semi-structured interviews with 33 participants drawn from logistics officers, supply chain managers, system administrators, and information technology support personnel. The data was analysed thematically to generate insights into patterns of system use, organisational dynamics, and user experiences. The findings revealed that although the Integrated Logistics System operates within MODVA, its use is still inconsistent, disjointed, and primarily confined to fundamental functions. Advanced system features intended to enhance complete logistics integration, real-time visibility, and strategic decision-making are greatly underused. The study also identified internal organisational elements such as leadership styles, corporate culture, workflow inconsistencies, inadequate training, and lack of ICT support as key factors influencing system utilisation. Participants also described national ICT infrastructure, procurement regulations, reliance on external suppliers, and cybersecurity requirements as contextual constraints affecting the environment in which ILS is used. Moreover, the study found that the challenges related to ILS implementation and utilisation are closely linked. Insufficient rollout planning, minimal user engagement, ineffective change management tactics, and ongoing training and capability deficiencies have led to diminished user trust and opposition to digital processes. Technical and infrastructural limitations further diminish trust in the system, while behavioural obstacles such as fear of making mistakes, preference for manual processes, and reluctance to change remain firmly embedded in the organisational culture. The study concludes that effective ILS implementation within MODVA necessitates a comprehensive strategy that combines technological proficiency with organisational preparedness, leadership commitment, ongoing skills enhancement, and organised change management. The findings contribute to the understanding of digital logistics systems adoption in defence settings in developing countries and offer evidence-based recommendations for improving system usage and operational efficiency.
This study aims to identify and assess the factors affecting ERP deployment in South African SMEs within the construction sector, intending to offer insights that better decision-making, improve operational efficiency, and fulfil customer expectations. A quantitative research methodology was utilised, employing a probability sampling procedure to guarantee equitable opportunity for sample selection. The researcher performed a comprehensive literature study to pinpoint knowledge deficiencies and employed data analysis techniques, such as descriptive statistics, reliability assessments, exploratory factor analysis, and normality evaluation. The research indicated that South African SMEs in the construction sector must assess essential elements prior to adopting an ERP model. The components encompass evaluating client requirements, analysing the experiences of current ERP system users, comprehending system maintenance necessities, and predicting anticipated performance results. The results offer practical suggestions for construction SMEs seeking to use ERP systems. By concentrating on the highlighted pivotal aspects, enterprises can improve their ERP implementation processes, mitigate operational inefficiencies, and more effectively match with customer and sustainability requirements. This research enhances the scarce understanding of ERP implementation obstacles in South African construction SMEs. It offers a distinct viewpoint on how strategic ERP implementation can enhance operational efficiencies and facilitate sustainable growth practices within the sector.
The effective utilisation of Integrated Logistics Systems (ILS) is increasingly recognised as a critical enabler of operational efficiency, accountability, and readiness within defence organisations. The study investigated the utilisation of Integrated Logistics Systems within the Ministry of Defence and Veteran Affairs (MODVA) in the Khomas region of Namibia. A qualitative research approach was utilised, and data was gathered through semi-structured interviews with 33 participants drawn from logistics officers, supply chain managers, system administrators, and information technology support personnel. The data was analysed thematically to generate insights into patterns of system use, organisational dynamics, and user experiences. The findings revealed that although the Integrated Logistics System operates within MODVA, its use is still inconsistent, disjointed, and primarily confined to fundamental functions. Advanced system features intended to enhance complete logistics integration, real-time visibility, and strategic decision-making are greatly underused. The study also identified internal organisational elements such as leadership styles, corporate culture, workflow inconsistencies, inadequate training, and lack of ICT support as key factors influencing system utilisation. Participants also described national ICT infrastructure, procurement regulations, reliance on external suppliers, and cybersecurity requirements as contextual constraints affecting the environment in which ILS is used. Moreover, the study found that the challenges related to ILS implementation and utilisation are closely linked. Insufficient rollout planning, minimal user engagement, ineffective change management tactics, and ongoing training and capability deficiencies have led to diminished user trust and opposition to digital processes. Technical and infrastructural limitations further diminish trust in the system, while behavioural obstacles such as fear of making mistakes, preference for manual processes, and reluctance to change remain firmly embedded in the organisational culture. The study concludes that effective ILS implementation within MODVA necessitates a comprehensive strategy that combines technological proficiency with organisational preparedness, leadership commitment, ongoing skills enhancement, and organised change management. The findings contribute to the understanding of digital logistics systems adoption in defence settings in developing countries and offer evidence-based recommendations for improving system usage and operational efficiency.
This study aims to identify and assess the factors affecting ERP deployment in South African SMEs within the construction sector, intending to offer insights that better decision-making, improve operational efficiency, and fulfil customer expectations. A quantitative research methodology was utilised, employing a probability sampling procedure to guarantee equitable opportunity for sample selection. The researcher performed a comprehensive literature study to pinpoint knowledge deficiencies and employed data analysis techniques, such as descriptive statistics, reliability assessments, exploratory factor analysis, and normality evaluation. The research indicated that South African SMEs in the construction sector must assess essential elements prior to adopting an ERP model. The components encompass evaluating client requirements, analysing the experiences of current ERP system users, comprehending system maintenance necessities, and predicting anticipated performance results. The results offer practical suggestions for construction SMEs seeking to use ERP systems. By concentrating on the highlighted pivotal aspects, enterprises can improve their ERP implementation processes, mitigate operational inefficiencies, and more effectively match with customer and sustainability requirements. This research enhances the scarce understanding of ERP implementation obstacles in South African construction SMEs. It offers a distinct viewpoint on how strategic ERP implementation can enhance operational efficiencies and facilitate sustainable growth practices within the sector.
This study examines the implementation of the vMedis ERP system at Greencare Pharmacy using Balanced Scorecard (BSC) and SWOT analysis. The research evaluates financial, customer, internal process, and learning perspectives, revealing significant improvements post-implementation. Key findings include a 15% profit margin increase, enhanced customer satisfaction, streamlined inventory management, and improved staff competencies. Statistical analysis using the Wilcoxon Signed-Rank Test confirmed that these improvements across the BSC perspectives were significant (p < 0.05). SWOT analysis highlights internal strengths, such as financial stability and advanced technology adoption, and external opportunities like market growth potential. Challenges include regulatory complexity and high competition. Overall, vMedis demonstrates its effectiveness in enhancing operational efficiency and competitiveness in the healthcare sector.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |