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: 5 / 5 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 — 23 Oct 2026 07:01 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | 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 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 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 | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2026 | 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 5 / 5 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): 2026-10-21T07:22:46.751700+00:00 — 2026-10-23T07:01:03.488253+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 1 | 5 | 5/5 |
| 2025 | All selected publications | 1 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 5 | 5/5 |
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 |
| 2025 | 2 |
| 2026 | 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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 0 | 2 | 4/4 | 0.0 | 0.0 | 0.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The study investigated the impact of supply chain management (SCM) practices on supply chain robustness (SCR) and financial performance (FP) in the freight logistics sector in South Africa post-COVID-19 era. Employing a survey research design and quantitative methodology, the research utilised a purposive sampling technique to recruit 500 professionals specialising in supply chain, operations, and finance from freight logistics firms across the Gauteng, North-West, and Mpumalanga provinces of South Africa. The study assessed various SCM practices, specifically focusing on capacity and skills management (CSM), customer relationship management (CRM), and supplier relationship management (SRM) as independent variables. The mediating variable was SCR, with FP being the outcome variable. Hypotheses were tested using Partial Least Squares structural equation modelling (PLS-SEM). In the findings, both CRM and SRM demonstrated significant positive impacts on SCR, while CSM was statistically insignificant. Furthermore, SCR was found to have a significant positive effect on FP. A significant mediating effect of SCR on the association of CRM and SRM on FP was observed. The study is a groundbreaking attempt to provide insights into which SCM factors deserve attention when attempting to strengthen the robustness and FP of freight logistics supply chains.
Crises are inevitable in the business environment, and the effects can vary widely across small and large businesses. Depending on its severity, crisis can threaten the continuity of businesses, especially small and medium enterprises (SMEs). For instance, the recent COVID-19 pandemic saw the discontinuation of several businesses. Thus, it is essential to investigate the survival strategies that can be adopted to facilitate business continuity. This study performs a literature review to investigate the strategies that can be adopted by SMEs to foster business continuity amidst crises. Considering SMEs crucial contribution to global economic development, employment creation and poverty alleviation, it is crucial to identify strategies that facilitate business continuity among SMEs. The findings of this literature review indicate that technological innovation, business agility, organizational resilience, innovative marketing strategies and the retrenchment strategy can facilitate business continuity among SMEs. This research contributes to the literature on crisis management in business and highlight strategies that can be implemented for business continuity in SMEs. Future research should empirically investigate the adoption of these strategies in SMEs, and ways to overcome the challenges hindering their adoption and implementation for sustainable business continuity.
Efficient risk management within the supply chain is essential for municipal success. This study assesses the supply chain risk management procedures of the Thulamela Municipality to guarantee service delivery. The main objectives were to evaluate the municipality's risk management structure and recommend enhancements in accordance with the MFMA and King IV requirements. The study question examined the implementation of a risk management system by Thulamela to guarantee service delivery. Utilising risk management and institutional theory, the study adopted a mixed-methods approach, applying deductive thematic analysis and SPSS software to examine data regarding the municipality's risk management procedures, team expertise, and framework suitability. The findings reveal that although Thulamela possesses a supply chain risk management framework, enhancements are necessary, specifically in (i) empowering the risk management team, (ii) incorporating technology and maintaining a record of suppliers with a history of non-compliance, and (iii) augmenting staff's risk management expertise. A favourable correlation was observed among effective risk management, institutional theory, supply chain procedures, and service delivery. This report provides essential information for policymakers to improve municipal supply chain risk management. Future research may investigate the impact of technology on mitigating risks such as non-compliance, corruption, and supplier failures, and also analyse the risk management frameworks among South African municipalities.
This study analyzes the role of supply chain resilience in relationships supply chain risk management culture and firm performance during the disruption SME Batik clothing business in the Wedi sub-district, Klaten, Yogyakarta, Indonesia. This study is designed as a quantitative study with primary data obtained through the distribution of questionnaires. Purposive sampling was conducted, and a sample of 87 respondents was selected from SME Batik in Klaten, Yogyakarta that members of the batik SME cooperative. This study limits the sample to two positions: owner and manager. The data collected were analyzed using the structural equation model method using SmartPLS software. The results show that SCRM has a positive and significant effect on Firm Performance. This research also shows that SCRMC has a positive and significant effect on Re-engineering, Agility, and Collaboration. Testing the effect of mediating variables found the significant value of the influence of Re-engineering, agility, and collaboration in mediating the relationship between SCRMC (Supply chain management culture) and firm performance.
This research investigates the strategic management of pharmaceutical supply chains in South Africa, with a focus on responses to disruptions resulting from the COVID-19 pandemic. The study explores how supply chain professionals navigated unprecedented challenges and implemented resilience strategies during this crisis. A qualitative, exploratory phenomenological approach was employed using semi-structured interviews with 25 pharmaceutical supply chain professionals selected through purposive sampling. Participants represented diverse segments of the pharmaceutical supply chain, including manufacturers, distributors, wholesalers, and retailers. Data were analysed using thematic analysis with Atlas.ti software to identify patterns and relationships within participant experiences. Four major themes emerged from the analysis: (1) disruptions in supply chains due to COVID-19, characterised by panic buying, logistical challenges, and inconsistent supply; (2) impact on strategic decision-making and operational performance, including implementation of skeleton staffing and increased operational costs; (3) resilience and responsiveness strategies, focusing on supplier relationships, enhanced demand forecasting, and increased local production; and (4) lessons learned and future preparedness, emphasising disaster management frameworks and technological advancements. The study highlights the importance of developing balanced strategic approaches that address immediate disruptions and long-term resilience in pharmaceutical supply chains. Key findings reveal that effective strategic management during crises requires simultaneous attention to operational adjustments (skeleton staffing, remote work) and strategic initiatives (local production, technological investment). These insights contribute to understanding how pharmaceutical supply chains in developing economies can enhance resilience against future disruptions through strategic management practices that balance reactive and proactive approaches.
This research investigates the strategic management of pharmaceutical supply chains in South Africa, with a focus on responses to disruptions resulting from the COVID-19 pandemic. The study explores how supply chain professionals navigated unprecedented challenges and implemented resilience strategies during this crisis. A qualitative, exploratory phenomenological approach was employed using semi-structured interviews with 25 pharmaceutical supply chain professionals selected through purposive sampling. Participants represented diverse segments of the pharmaceutical supply chain, including manufacturers, distributors, wholesalers, and retailers. Data were analysed using thematic analysis with Atlas.ti software to identify patterns and relationships within participant experiences. Four major themes emerged from the analysis: (1) disruptions in supply chains due to COVID-19, characterised by panic buying, logistical challenges, and inconsistent supply; (2) impact on strategic decision-making and operational performance, including implementation of skeleton staffing and increased operational costs; (3) resilience and responsiveness strategies, focusing on supplier relationships, enhanced demand forecasting, and increased local production; and (4) lessons learned and future preparedness, emphasising disaster management frameworks and technological advancements. The study highlights the importance of developing balanced strategic approaches that address immediate disruptions and long-term resilience in pharmaceutical supply chains. Key findings reveal that effective strategic management during crises requires simultaneous attention to operational adjustments (skeleton staffing, remote work) and strategic initiatives (local production, technological investment). These insights contribute to understanding how pharmaceutical supply chains in developing economies can enhance resilience against future disruptions through strategic management practices that balance reactive and proactive approaches.
The study investigated the impact of supply chain management (SCM) practices on supply chain robustness (SCR) and financial performance (FP) in the freight logistics sector in South Africa post-COVID-19 era. Employing a survey research design and quantitative methodology, the research utilised a purposive sampling technique to recruit 500 professionals specialising in supply chain, operations, and finance from freight logistics firms across the Gauteng, North-West, and Mpumalanga provinces of South Africa. The study assessed various SCM practices, specifically focusing on capacity and skills management (CSM), customer relationship management (CRM), and supplier relationship management (SRM) as independent variables. The mediating variable was SCR, with FP being the outcome variable. Hypotheses were tested using Partial Least Squares structural equation modelling (PLS-SEM). In the findings, both CRM and SRM demonstrated significant positive impacts on SCR, while CSM was statistically insignificant. Furthermore, SCR was found to have a significant positive effect on FP. A significant mediating effect of SCR on the association of CRM and SRM on FP was observed. The study is a groundbreaking attempt to provide insights into which SCM factors deserve attention when attempting to strengthen the robustness and FP of freight logistics supply chains.
Crises are inevitable in the business environment, and the effects can vary widely across small and large businesses. Depending on its severity, crisis can threaten the continuity of businesses, especially small and medium enterprises (SMEs). For instance, the recent COVID-19 pandemic saw the discontinuation of several businesses. Thus, it is essential to investigate the survival strategies that can be adopted to facilitate business continuity. This study performs a literature review to investigate the strategies that can be adopted by SMEs to foster business continuity amidst crises. Considering SMEs crucial contribution to global economic development, employment creation and poverty alleviation, it is crucial to identify strategies that facilitate business continuity among SMEs. The findings of this literature review indicate that technological innovation, business agility, organizational resilience, innovative marketing strategies and the retrenchment strategy can facilitate business continuity among SMEs. This research contributes to the literature on crisis management in business and highlight strategies that can be implemented for business continuity in SMEs. Future research should empirically investigate the adoption of these strategies in SMEs, and ways to overcome the challenges hindering their adoption and implementation for sustainable business continuity.
Efficient risk management within the supply chain is essential for municipal success. This study assesses the supply chain risk management procedures of the Thulamela Municipality to guarantee service delivery. The main objectives were to evaluate the municipality's risk management structure and recommend enhancements in accordance with the MFMA and King IV requirements. The study question examined the implementation of a risk management system by Thulamela to guarantee service delivery. Utilising risk management and institutional theory, the study adopted a mixed-methods approach, applying deductive thematic analysis and SPSS software to examine data regarding the municipality's risk management procedures, team expertise, and framework suitability. The findings reveal that although Thulamela possesses a supply chain risk management framework, enhancements are necessary, specifically in (i) empowering the risk management team, (ii) incorporating technology and maintaining a record of suppliers with a history of non-compliance, and (iii) augmenting staff's risk management expertise. A favourable correlation was observed among effective risk management, institutional theory, supply chain procedures, and service delivery. This report provides essential information for policymakers to improve municipal supply chain risk management. Future research may investigate the impact of technology on mitigating risks such as non-compliance, corruption, and supplier failures, and also analyse the risk management frameworks among South African municipalities.
This study analyzes the role of supply chain resilience in relationships supply chain risk management culture and firm performance during the disruption SME Batik clothing business in the Wedi sub-district, Klaten, Yogyakarta, Indonesia. This study is designed as a quantitative study with primary data obtained through the distribution of questionnaires. Purposive sampling was conducted, and a sample of 87 respondents was selected from SME Batik in Klaten, Yogyakarta that members of the batik SME cooperative. This study limits the sample to two positions: owner and manager. The data collected were analyzed using the structural equation model method using SmartPLS software. The results show that SCRM has a positive and significant effect on Firm Performance. This research also shows that SCRMC has a positive and significant effect on Re-engineering, Agility, and Collaboration. Testing the effect of mediating variables found the significant value of the influence of Re-engineering, agility, and collaboration in mediating the relationship between SCRMC (Supply chain management culture) and firm performance.
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 |