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: 10 / 10 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 — 22 Oct 2026 08:40 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.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 9 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 9 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 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 10 / 10 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 — 2026-10-22T08:40:18.834627+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 | 10 | 10/10 |
| 2018 | All selected publications | 0 | 10 | 10/10 |
| 2019 | All selected publications | 0 | 10 | 10/10 |
| 2020 | All selected publications | 1 | 10 | 10/10 |
| 2021 | All selected publications | 1 | 10 | 10/10 |
| 2022 | All selected publications | 6 | 10 | 10/10 |
| 2023 | All selected publications | 6 | 10 | 10/10 |
| 2024 | All selected publications | 2 | 10 | 10/10 |
| 2025 | All selected publications | 8 | 10 | 10/10 |
| 2026 | All selected publications | 7 | 10 | 10/10 |
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 |
|---|---|
| 2019 | 1 |
| 2021 | 1 |
| 2023 | 3 |
| 2024 | 2 |
| 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 | 2 | 5 | 6 | 2/2 | 2.5 | 2.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 6 | 7 | 1/1 | 6.0 | 6 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 7 | 7 | 18 | 7/7 | 1.0 | 0 | 42.9 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
The theory of dynamic resource orchestration explains the differentiated response of homogeneous ecosystem organizations to systemic disruptive shocks. The Covid-19 precautionary measures in Kenya have exempted some essential service providers and government agencies, resulting in a differentiated Covid-19 impact across the national SMEs landscape. This article adopted an extractive thematic analysis technique to draw insights from in-depth interviews and discussions with owners and managers of 6 broad-range SMEs considered non-essential services providers excluded from the Covid-19 cessation of movement waiver. The article advanced insights on SMEs' resilience through dynamic resource orchestration capability. It sought to establish whether the possession and orchestration of dynamic resources capabilities differentiated highly resilient SMEs from non-resilient ones. The article identified business diversification, slack finance, intra-stakeholder collaboration, self-reinvention, positive psychology, technology leverage, and cost management as precursory resilience agents within Kenyan SMEs. Research gaps were identified, and recommendations for future research were proposed.
The main aim was to determine how the supply chains of the FMCG industry may enhance their resilience through the adoption of digital technologies. Additionally, enhancing visibility and transparency through the augmentation of operational efficiency to elevate overall performance. This analysis utilised the Uncertainty Framework theory, which provides a systematic approach for identifying, categorising, and managing uncertainties within the supply chain. Organisations can formulate strategies to effectively manage and mitigate risks by understanding the many dimensions of uncertainty within the supply chain and their interrelations. The research utilised a qualitative methodology, gathering data via semi-structured interviews with 25 supply chain specialists and senior executives possessing extensive experience in the FMCG sector. The study's findings indicate that digital transformation enhances agility, transparency, and data-driven decision-making, which is crucial for bolstering the resilience of the FMCG supply chain. Six themes emerged from the findings: data-driven decision-making, supply chain visibility and transparency, automation and robots, collaborative platforms and ecosystems, predictive analytics and forecasting, and traceability and sustainability. The research will enhance our understanding of the implementation of digital transformation initiatives throughout FMCG supply chains. This involves analysing the application of digital technologies in supply chain operations. The study may ascertain the impact of these technologies on various resilience criteria, including flexibility, agility, visibility, and responsiveness, by analysing the role of digital transformation in FMCG supply chains. The research findings can assist supply chain managers in making educated decisions on investments and strategic planning for digital transformation initiatives.Research on digital transformation in the FMCG sector is limited, particularly on these unprecedented upheavals. Moreover, there is little study connecting digital transformation with sustainability and resilience in FMCG supply chains, which is essential for comprehending how these projects might collaboratively enhance robust supply systems.
This research aimed to identify the key drivers of the pharmaceutical supply chain during the COVID-19 pandemic disruption, focusing on the South African pharmaceutical industry. The study aimed to unveil the dynamic strategies and challenges experienced during the pandemic and suggest recommendations for resilient supply chain operations. The study drew on established supply chain management theories and integrated them with the unique and novel circumstances of the COVID-19 pandemic. It mainly referred to theories regarding pricing, strategic sourcing, ICT usage, product availability, and logistics management contextualised within the pharmaceutical industry. An exploratory research approach was adopted to uncover the five overarching themes that function as pharmaceutical supply chain drivers during the COVID-19 pandemic. Semi-structured interviews were used to acquire the primary data with industry supply chain professionals, supplemented with secondary data from industry reports and relevant literature. The findings revealed that the pricing of medications, strategic sourcing decisions, information and communication technology, the availability of pharmaceutical products, and logistics management played critical roles in the pharmaceutical industry's supply chain during the COVID-19 pandemic. Disruptions caused by the COVID-19 pandemic led to challenges such as price hikes, supply shortages, and logistical complications. The study provides crucial insights into managing supply chain disruptions amid a global health crisis. Implementing dynamic pricing mechanisms, developing resilient sourcing strategies, using ICT effectively, improving inventory management, and enhancing logistics management are recommended for robust supply chain operations. The findings contribute to academia by enriching the existing body of knowledge and offering practical solutions for industry supply chain professionals. The research is original and timely, offering a unique perspective on the South African pharmaceutical industry's supply chain during an unprecedented global health crisis. The results are valuable for academia and industry, shedding light on the adaptive strategies, challenges encountered, and lessons learned from navigating the pharmaceutical supply chain during the COVID-19 pandemic.
The purpose of this paper is to present a science-based narrative of the impact of the Ebola Virus Disease (EVD) on the supply chains of the major commodities of Liberia. Scientific literatures from appropriate journals, newspapers, trade data of applicable ministries and governmental agencies, data on Ebola from websites of World Health Organization (WHO), Food and Agricultural Organization (FAO), Center for Disease and Control and Prevention (CDC), World Bank, the International Monetary Funds (IMF) and other relevant institutions are used extensively while also employing a market chain approach to represent the overall supply chains of these products. The review reveals, among others, the significant disruption to the flow of goods and the decrease in output of the main export commodities of Liberia. It also shows a fall in the real GDP growth rate of the Mano River Basin (MRB) countries during the Ebola years. The paper identifies that the specific mechanisms through which the supply chains were disrupted were as a result of fear and government’s regulation. Additionally, it provides a practical conduit for the diversification of the rubber industry. Given the complex web of supply chains of just a single product, this effort is in no way an exhaustive review on the impact of the EVD on supply chains of commodities dealt with herein, let alone the overall impact of EVD on the country as a whole. Obviously, this review is also limited in terms of scope and extent. This review is a useful introduction to investigators who might want to commit to research in this particular aspect of the impact of the EVD vis-a-vis its impact on supply chains in Liberia or on a broader level, the MRB Countries.
The COVID-19 pandemic had a significant impact on the pharmaceutical industry, leading to severe interruptions in global medicine supplies. Both large and small businesses implemented exceptional strategic efforts to mitigate the impact of the infection and minimize the resultant financial harm. A total of twenty-five semi-structured interviews were carried out with pharmaceutical supply chain experts in South Africa in order to gain insight into the strategic reactions and long-term impacts of these responses, as perceived by the participants. The occurrence of strategic reactions seems to resemble those observed in prior instances of disruptions in the pharmaceutical supply chain, but with some degree of variation. These solutions encompass methods for addressing the specific supply chain disruption, managing the reality of supply chain disruption to efficiently handle low switching costs, and implementing attempts to recover by increasing the customer experience. These strategic initiatives were expected to lead to the permanent closure of numerous pharmaceutical enterprises, increased consolidation in the global pharmaceutical supply chain, and long-term changes in responsiveness and efficiency improvements.
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.
The main aim was to determine how the supply chains of the FMCG industry may enhance their resilience through the adoption of digital technologies. Additionally, enhancing visibility and transparency through the augmentation of operational efficiency to elevate overall performance. This analysis utilised the Uncertainty Framework theory, which provides a systematic approach for identifying, categorising, and managing uncertainties within the supply chain. Organisations can formulate strategies to effectively manage and mitigate risks by understanding the many dimensions of uncertainty within the supply chain and their interrelations. The research utilised a qualitative methodology, gathering data via semi-structured interviews with 25 supply chain specialists and senior executives possessing extensive experience in the FMCG sector. The study's findings indicate that digital transformation enhances agility, transparency, and data-driven decision-making, which is crucial for bolstering the resilience of the FMCG supply chain. Six themes emerged from the findings: data-driven decision-making, supply chain visibility and transparency, automation and robots, collaborative platforms and ecosystems, predictive analytics and forecasting, and traceability and sustainability. The research will enhance our understanding of the implementation of digital transformation initiatives throughout FMCG supply chains. This involves analysing the application of digital technologies in supply chain operations. The study may ascertain the impact of these technologies on various resilience criteria, including flexibility, agility, visibility, and responsiveness, by analysing the role of digital transformation in FMCG supply chains. The research findings can assist supply chain managers in making educated decisions on investments and strategic planning for digital transformation initiatives.Research on digital transformation in the FMCG sector is limited, particularly on these unprecedented upheavals. Moreover, there is little study connecting digital transformation with sustainability and resilience in FMCG supply chains, which is essential for comprehending how these projects might collaboratively enhance robust supply systems.
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 |