Supply Chain Issues Research Articles

The Role of AI in Transforming Local Economies: Exploring How AI Technologies Are Impacting Local Businesses and Labor Markets

Abstract: AI is emerging as a key disruptor of local economies. The impact of AI technologies including machine learning, automation and precision farming in reshaping local business landscape, unlocking innovation, enhancing productivity and creating net new jobs, is yet to be fully appreciated. This paper provides an analysis of the role of AI in revitalising local economies: how AI technologies are enabling small and medium sized enterprises (SME) to improve productivity, how rural economies can overcome labour shortages and supply chain issues and how to realise AIs transformative potential in the near term. It goes on to discuss the impact of AI on labour markets, the creation of net new jobs in data and drone related occupations and need for reskilling and upskilling. It also discusses the role of local governments in encouraging AI adoption through public-private partnerships, tax incentives and infrastructure improvements. The paper concludes with a discussion about how AI shapes the future of work, the need to address the digital divide and the role of AI in fostering sustainable economic development at the local level. This paper analyses the impact of AI on productivity, consumer engagement, supply chain optimisation and workforce transformation.

“The Source of All My Joy and All My Stress”: Children and Childcare as Underappreciated Sources of Stress That Affect Farm Women

ABSTRACT Objective Women have always played a crucial role in agriculture through their work on the farm, caring for the family and the household, and off-farm employment. Yet, like their essential contributions to agriculture, their mental health and well-being have largely been invisible since much of the focus of the mental health in agriculture research has been on older, male farmers. This paper seeks to address this knowledge gap by focusing on the emotional consequences stemming from the expectations of juggling childcare responsibilities, farm work and managing the household whilst keeping children safe. Methods The data were collected via focus groups and photovoice activity with, respectively, 68 and 33 farm women from Ohio, Wisconsin, and Vermont. Results The content thematic analysis first indicates that the juggling of multiple roles along with limited support deeply impacted farm women’s wellbeing. Worries that the children could get hurt was a major source of stress. Stress and mental health issues connected to children do not lessen as they age but rather shift and become more complex. Conclusion This article highlights the implications of the lack of investment in farm women’s mental wellbeing and their lived realities of caring for children on the farm. Future research should address supply chain and affordability issues, particularly for rural childcare provision.

Optimizing pharmaceutical supply chain management through AI-driven predictive analytics: A conceptual framework

The pharmaceutical supply chain is a complex, multi-layered system that faces unique challenges, including fluctuating demand, stringent regulatory requirements, and logistical constraints. This paper explores the role of AI-driven predictive analytics in optimizing pharmaceutical supply chain management, presenting a conceptual framework that enables companies to leverage advanced data analytics for improved decision-making, risk management, and operational efficiency. Key AI techniques, such as machine learning, data mining, and predictive demand forecasting, are discussed as tools for addressing critical supply chain issues, including inventory optimization, demand variability, and regulatory compliance. The proposed framework details essential components—data collection, processing, integration with existing systems, and real-time decision-making—and outlines critical success factors for effective implementation. By offering insights into the transformative potential of predictive analytics, this paper provides actionable recommendations for pharmaceutical companies seeking to build resilient and responsive supply chains. Future research directions are also proposed, emphasizing the need for adaptable predictive models and the ethical implications of AI applications in pharmaceuticals. Keywords: Pharmaceutical Supply Chain, AI-driven Predictive Analytics, Machine Learning, Demand Forecasting, Inventory Optimization, Regulatory Compliance.

Analyzing the factors influencing sustainable supply chain management in the textile sector

Sustainability one of the burning issues in the global supply chain, and it is increasingly becoming a concern for textile industries. Moreover, developing countries have become the production hub of apparel and textiles, produced a high volume of waste and posed a threat to the environment and local community. By addressing sustainability challenges, Sustainable Supply Chain Management (SSCM) enhances long-term business viability and provides a competitive advantage. In this project, by extensive literature review, forty-five factors were identified which are driving the development process of SSCM. Responses were collected using the Likert Scale (1–5) from the focus group to narrow down the findings and ten have been selected as more appropriate in the perspective of Bangladesh. Later these ten factors were analyzed to find out the most influential factor using the Interpretive Structural Modeling (ISM) method by contextual relation-making. Community Groups and Environmental Organizations were found to be the most impactful among all the factors having the highest driving power.

High‐Performance Alkaline Battery‐Supercapacitor Hybrid Based on Bimetallic Phosphide/Phosphate

AbstractTransition metal‐based materials explored for energy storage applications viz. batteries, supercapacitors and more recently battery‐supercapacitor hybrids (BSHs) abundantly involve Co‐based materials. However, the supply chain issues and low electronic conductivity force us to look for alternative options. In this regard, Co‐free binary metal phosphide/phosphate consisting of Ni and V metal (NiVP/Pi) microspheres as the positive electrode of BSH which shows a high specific capacity of 502 C g−1 (1004 F g−1) at 2 mV s−1 while retaining a high specific capacity of 214 C g−1 (428 F g−1) at 12 A g−1 is reported. The high electronic conductivity of binary metal phosphide in NiVP/Pi electrode and the rich electrochemical active sites due to Ni and V metal centres results in exciting performance. More interestingly, the hybrid device is successfully developed by employing NiVP/Pi as the positive electrode and carbon nanotubes (CNTs) as the negative electrode. The hybrid device (NiVP/Pi//CNT) is able to achieve a maximum energy density of 22.17 Wh kg−1 and a power density of 5 kW kg−1 with 91.7% capacitance retention after 7500 continuous galvanostatic charge–discharge cycles.

Review of Uncertainty, Carbon Emissions, Greenness Index, and Quality Issues in Green Supply Chains

The ability of closed-loop supply chains (CLSC) and reverse logistics (RL) to improve the triple bottom line (economic, social and environmental values) has increased the development of design and management models for CLSCs and RL. Consequently, there exists an extensive body of literature dedicated to exploring these supply and logistics issues. This paper reviews recent and relevant literature on CLSC and RL with an emphasis on uncertainty, carbon emissions, greenness index, return product quality and reliability considerations. The selected references are organized, reviewed, and analyzed to establish valuable mapping to highlight major findings. Finally, the outcomes are synthesized, and the primary research gaps are emphasized, pointing toward potential avenues for future investigation. These findings reveal that research efforts must be directed towards the development of multi-criteria greenness indices and multi-objective robust optimization models for uncertain quality and reliability of returns.

Barriers to the Effective Selection of Sustainable Materials for Residential Building Projects: A Qualitative Study

Although sustainability in Tanzania’s construction sector has been explored in areas such as energy efficiency and green building practices, little attention has been given to understanding the specific barriers to the selection of SBMs in residential projects. This study fills that gap by identifying and analyzing the critical barriers hindering the effective selection of SBMs in Tanzania’s residential construction sector. Through qualitative interviews with experts from regulatory bodies, public developers, and academic researchers, this research provides a comprehensive examination of these barriers. Using Atlas.ti 23 software for a qualitative data analysis, six key categories of barriers were identified: (1) Regulatory and Policy Barriers, (2) Financial Barriers, (3) Knowledge and Awareness Barriers, (4) Technical Barriers, (5) Market and Supply Chain Issues, and (6) Cultural and Social Barriers. Among these, lack of awareness and limited knowledge emerged as particularly significant, alongside regulatory and policy barriers, in hindering the effective selection of SBMs. This study’s novelty lies in its focus on the Tanzanian context, depth of the analysis of the unique challenges, and categorization of the barriers. The findings underscore the need for targeted policy interventions, particularly in raising awareness, offering financial incentives, and establishing comprehensive regulatory frameworks. Furthermore, this study presents a graphical representation to illustrate the categories and constructs of these barriers, adding a visual dimension to the understanding of the issues. Future research should expand the scope to include private developers and material suppliers, whose roles are critical in enhancing the availability and adoption of SBMs in Tanzania’s construction industry.

Differences in Drug Shortages in the US and Canada

Drug shortages are a persistent public health issue that increased during the COVID-19 pandemic. Both the US and Canada follow similar regulatory standards and require reporting of drug-related supply chain issues that may result in shortages. However, it is unknown what proportion are associated with meaningful shortages (defined by a significant decrease in drug supply) and whether differences exist between Canada and the US. To compare how frequently reports of drug-related supply chain issues in the US vs Canada were associated with drug shortages. Longitudinal cross-sectional study conducted from January 2023 to March 2024 using drug-related reports of supply chain issues from 2017 to 2021 that were less than 180 days apart in Canada and the US. Shortages were assessed using data from the IQVIA Multinational Integrated Data Analysis database, comprising 89% of US and 100% of Canadian drug purchases. Country (Canada vs US), timing of report issuance (before vs after the COVID-19 pandemic), and characteristics of the supply chain prior to the reports of drug-related supply chain issues (including World Health Organization essential medicine status, Health Canada tier 3 medicine [moderate risk classification], whether there was sole-source manufacturing of the drug, the formulation, the price per unit, ≥20 years since drug approval, and the number of therapeutic alternatives). A drug shortage (a decrease of ≥33% in monthly purchased standardized drug units) within 12 months, relative to the average units purchased during the 6 months prior to the report of supply chain issues to a US or Canadian reporting system. Among the 104 drug-related reports of supply chain issues in both countries, 49.0% (95% CI, 39.3%-59.7%) were associated with drug shortages in the US vs 34.0% (95% CI, 25.0%-45.0%) in Canada (adjusted hazard ratio [HR], 0.53 [95% CI, 0.36-0.79]). The lower risk of drug shortages in Canada vs the US was consistent before the COVID-19 pandemic (adjusted HR, 0.47 [95% CI, 0.30-0.75]) and after the pandemic (adjusted HR, 0.31 [95% CI, 0.15-0.66]). After combining reports of supply chain issues in both countries, the shortage risk was double for sole-sourced drugs (adjusted HR, 2.58 [95% CI, 1.57-4.24]) and nearly half for Canadian tier 3 medicines (moderate risk) (adjusted HR, 0.56 [95% CI, 0.32-0.98]). Drug-related reports of supply chain issues were 40% less likely to result in meaningful drug shortages in Canada compared with the US. These findings highlight the need for international cooperation between countries to curb the effects of drug shortages and improve resiliency of the supply chain for drugs.

Ensuring Food Safety through Effective Supply Chain Management:Challenges and Suggestions

Ensuring food safety is a complex challenge exacerbated by the global nature of modern supply chains. Effective supply chain management plays a crucial role in safeguarding food. This paper explores the concerns of food safety that causes by unethical food supply chain. Case studies from both developed and developing regions illustrate successful initiatives and highlight lessons learned. The role of collaboration among stakeholders—producers, processors, distributors, regulators, and consumers—is emphasized as crucial for effectively managing risks and ensuring compliance with safety standards throughout the supply chain. This essay examines how supply chain issues affect food safety through three case studies: China’s oil scandal mixing edible and chemical oils, the 2022 U.S. peanut butter recall due to salmonella contamination, and antibiotic-contaminated Vietnamese shrimp amid Japan’s nuclear water release. Each case underscores the impact on public health and trust. By examining three current cases, this paper aims to provide a comprehensive understanding of how ineffective supply chain management can create food safety risks and reduce consumer confidence in the safety and integrity of the food supply chain and suggest possible course of action.

Managing medicine shortages.

Medicine shortages are increasingly common and disruptive to the optimal delivery of health care. They are caused by a variety of factors, including manufacturing and supply-chain issues, regulatory and trade issues, and fluctuations in demand. Prescribers and pharmacists in Australia can manage a shortage by switching to another brand, strength or dosage form of the same medicine, switching to a different registered medicine, or accessing an unregistered medicine that has been made available via section 19A of the Therapeutic Goods Act 1989 or through the Special Access Scheme. There are a range of resources and tools that can assist clinicians with identifying and managing medicine shortages in Australia. Shortages are managed most effectively when prescribers, pharmacists and nurses work together, in collaboration with patients, to develop, implement and monitor strategies to manage the shortage.

Purification of T7 RNA polymerase for large scale production of mRNA vaccines and therapeutics

The COVID-19 Pandemic has revolutionized the field of mRNA vaccine technology, highlighting its utility and rapidly expanding potential, propelling it to the forefront of future vaccines & therapeutics for cryptic diseases. T7 RNA Polymerase (T7 RNAP) is a high-fidelity enzyme used for the synthesis of single-stranded mRNA from DNA templates using In vitro transcription (IVT). T7 RNAP is now the mainstay for the development of mRNA vaccines and therapeutics, accounting for 34 % of the overall raw material cost for mRNA manufacturing. Although small-scale purification processes for T7 RNAP exist, scalable process platforms and comprehensive analytical characterization are still lacking. Moreover, to address global raw material supply chain issues and to facilitate the efficient and large-scale production of mRNA vaccines & therapeutics, here we report a three-step purification process platform, yielding ∼ 85–100 mg/L of T7 RNAP from E. coli fermentation harvest. Also, to demonstrate its high-level purity and structural integrity, we have characterized it using orthogonal analytical techniques. Furthermore, when evaluated in an IVT system, this highly pure T7 RNAP showed activity that was comparable to the commercial T7 RNAP in producing integral RNA (10 kb) from a linearized plasmid DNA template. Collectively, these findings establish a purification process platform for the commercial production of T7 RNAP enzyme to support the future development of mRNA-based vaccines and therapeutics.

How to optimize government R&D budget allocation? A review of recent studies and research gaps

Purpose Research and Development (R&D) activities are important for technological innovation and present opportunities for entrepreneurship. These activities depend on the flow of funding. This paper aims to review approaches used in R&D project selection and budget allocation. Design/methodology/approach This study conducts a systematic review, examining the content of 60 relevant papers (spanning 2000–2022) concerning public R&D budget allocation. The analysis focuses on allocation methodology, R&D output evaluation, budget allocation efficiency and the management of uncertainty in the allocation process. Findings The systematic review reveals different methods proposed for allocating government R&D budgets. These methods range from classical optimization, multi-criteria analysis and hierarchical analysis to techniques such as balanced scorecard, data envelopment analysis and analytic hierarchy process, including fuzzy approaches. Recent trends indicate an increase in the use of advanced optimization, integration and simulation algorithms. Performance indicators for reflecting R&D project outputs or goals can be categorized into four main groups: output (e.g. publications, patents, graduates), outcome, productivity (e.g. citations, patent references, articles and patents per capita) and sector-specific metrics. Practical implications Future research directions in government R&D budget allocation may include optimizing allocation to maximize social, economic and political benefits, developing ranking models, decision-making frameworks, simulations and evaluations of factors influencing allocation type and strategy. Additionally, there is a growing interest in novel budget allocation algorithms leveraging artificial intelligence and self-adjusting meta-heuristic algorithms. Originality/value The systematic review showed that some important research gaps in (government) R&D budget allocation could be considered in future studies; for example, long-term social, economic and political benefits in budget allocation optimization models, comprehensiveness of allocating government R&D budgets to universities, higher education and research institutes, R&D budget allocation to strategic technology development, e.g. renewable energy sector, supply chain issues and renewable energy value chain; new budget allocation algorithms based on artificial intelligence and self-adjusting meta-heuristic algorithms; methods for optimizing the structures of government budget allocation to R&D, considering executive and regulatory conflicts.

Challenges and opportunities in geographical indication registered gastronomic products: Erzurum Rosette

Erzurum Rosette holds significant cultural value as a traditional dessert widely produced and consumed in Erzurum. Limited knowledge exists regarding the difficulties encountered by producers and the influence of Geographical Indication (GI) registration on production and marketing. This study aims to enhance the recognition of Erzurum Rosette, assess its production process to comply with the standards of the Turkish Patent and Trademark Office (TPTO), and explore its potential as a sustainable tourist product. A qualitative analysis was conducted on six producers of Erzurum Rosette. The information was gathered through semi-structured interviews that focused on demographic data, understanding GI, production challenges, and the influence of GI registration on sales. Responses were examined using thematic coding and statistical analysis. The study revealed that this traditional dessert production involves both male and female producers and that the producers have significant professional experience. General materials for production can be easily obtained, but obtaining the necessary special iron molds poses a significant challenge. Producers with a comprehensive understanding of GI have reported increased sales and market access after registration, but those with limited understanding have seen minimal impact. Common challenges include material supply and equipment availability, particularly regarding the procurement of iron molds. Sales and marketing strategies are generally effective, but continuous innovation is necessary for market expansion. Addressing supply chain issues and increasing awareness of GI benefits for producers are crucial for the sustainability and promotion of Erzurum Rosette. Improving support for local production and targeted training initiatives can help preserve traditional production methods and enhance the potential of Erzurum Rosette as a cultural and tourism value.

Supply chain risk assessment using best worst method: a case study of agro-industry skipjack tuna in Ambon - Indonesia

One of the main issues in the agro-industry supply chain is identifying and ranking different risk factors to maintain business continuity. This study discusses the agro-food supply chain risk assessment for smoked skipjack tuna in Ambon. Related literature and expert interviews identify risk factors that arise along the supply chain. These risk factors are contained in internal risk, company external operational risk, and macro-level risk. This research aims to evaluate comprehensively the risk factors of the smoked skipjack agro-industry supply chain, which are a priority to be addressed. The decision-making framework uses the BWM (Best Worst Method) to determine each risk factor's relative weight, followed by a sensitivity analysis to determine how robust the outcome is. Experts pick the risk factor assessment, and then an optimization model is modelled to obtain the weight of each risk factor, which is calculated with the help of Lingo software. The findings show that three risk factors will be prioritized to be addressed out of the eleven risk factors assessed, namely "Quality of the final product," "Financial instability," and "degradation of fish populations." Sensitivity analysis was also carried out to see the overall robustness of the results achieved. The weight of the selected risk factor ("final product quality (R1c)") has its weight value changed from 0.1 to 0.9 with an increase of 0.1. These findings are expected to help smoked skipjack tuna agro-industry managers make decisions to reduce supply chain risks and better administration management to maintain the sustainability of their business processes.

A Study on the Direction for the Korea-ASEAN FTA Upgrade: Focusing on Supply Chain and Digital Trade Issues

A Study on the Direction for the Korea-ASEAN FTA Upgrade: Focusing on Supply Chain and Digital Trade Issues

Mitigating data inaccuracy and supply chain challenges in Western Romania's automotive industry

The purpose of this paper was to emphasize the importance of data accuracy within internal logistics systems and their extended influence on supply chains in automotive industry through 6-month multiple case studies conducted on 3 first tier original equipment manufacturers (OEM) based in Western Romania. The study investigates the most common causes of data inaccuracies among automotive suppliers and their approaches to reduce consequential supply chain issues and be more agile. Data collection and analysis revealed that main issues arise due to ordering quantities mismatching actual customer demand, a wide range of order lot sizes, lead times and delivery reliability concerns and the reluctance to shift away from mainstream cost-effectiveness and towards strategic added value thinking. These issues sourced significant other related operational challenges such as excessive inventory, short-term stockouts and subsequent express shipping services or product-related inconveniences (quality and capacity levels, contracted volumes and dedicated lines). The paper sources different logistics and supply chain strategies used by the 3 OEMs, their features and operational performance, as well as their overall effectiveness, which can be applied by other automotive industry suppliers to improve own results. Introducing more reliable real-time data collection tools and performance metrics has started hauling more focus towards solving these prevalent issues with some ongoing improvement projects showing up to 25% better results. For one of the 3 OEMs introducing a new warehouse management system has already sourced an overall quality increase (5 percentage points) due to a 60% higher utilization of its production equipment.

SUPPLY CHAIN DISRUPTION AND SUSTAINABILITY OF PHARMACEUTICAL FIRMS IN ANAMBRA STATE, NIGERIA

<p>The pharmaceutical sector, in Nigeria plays a role in the nations’ healthcare system by supplying medications to the people. However pharmaceutical companies in the Anambra State have been facing obstacles recently due to disruptions in their supply chains. This research investigates how supply chain disruptions impact the sustainability of firms in Anambra State. A mixed-methods approach, involving qualitative interviews with industry experts and quantitative analysis of operational data, identifies the main causes of supply chain disruptions and their effects on this firm’s long-term success. The research reveals that supply chain disruptions result from factors such as delays in customs clearance, inconsistent regulatory policies, currency fluctuations, inadequate transportation infrastructure and issues with supplier reliability. Interviews with industry experts highlighted customs delays as a disruption while quantitative analysis showed a 20% increase in times for imported pharmaceuticals along with a 15% rise in delivery delays and a 10% increase in product returns due to transportation challenges. Moreover, inefficiencies in inventory management were observed, leading to a 5% rise in holding costs and a 3% decrease in turnover rates due to supply chains. Challenges related to suppliers involved issues, with delivery reliability and product quality leading to a 10% extension in supplier lead times and a 5% uptick, in returns. The findings highlighted a direct correlation between these supply chain issues and decreased profitability, operational efficiency, and the ability to meet patient needs, emphasizing the urgent need for improvements to enhance the resilience of the pharmaceutical supply chain in Anambra State.</p>

Improving possible serious bacterial infection (PSBI) management in young infants when referral is not feasible: lessons from embedded implementation research in Ethiopia and Kenya

BackgroundSepsis is a leading cause of neonatal mortality, despite the availability of effective treatment of possible serious bacterial illness (PSBI), including when referral to a hospital is not feasible. Gaps in access and delivery worsened during COVID-19. We conducted embedded implementation research in Ethiopia and Kenya aimed at mitigating the impact of COVID-19 and addressing various implementation challenges to improve PSBI management.MethodsThe implementation research projects were implemented at the subnational level in Ethiopia and Kenya between November 2020-June 2022 (Ethiopia) and December 2020-August 2022 (Kenya). Guided by the implementation research frameworks, both projects conducted mixed formative quantitative and exploratory research from April to May 2021, followed by summative evaluations conducted between June and July 2022. Frameworks encompassed Consolidated Framework for Implementation Research (CFIR), Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM), as well as health systems framework that incorporates cascades of care and World Health Organization Health Systems Building Blocks. Results were synthesized across the projects through document review and sharing cross-project measures and strategies through a project community of practice.ResultsDespite differences in settings across the projects, cross-cutting facilitators included community health worker program and support, and existence of guidelines for PSBI management at primary care levels. Barriers included community attitudes towards seeking care for sick newborns, COVID-19 risks and fear, and lack of health care worker competence. Country-specific contextual barriers included supply chain issues, civil conflict (Ethiopia), and labor strikes (Kenya). Strategies chosen to mitigate barriers and support implementation and sustainability in both settings included leveraging community health workers to address resistance to care-seeking, health workers’ training, COVID-19 infection prevention measures, stakeholder engagement, and advocacy to integrate PSBI management into existing programs, policies, and training. Other strategies addressing emerging project-specific barriers, included improving follow-up through a community health desk and PSBI mobile app (Kenya) and supply chain strengthening (Ethiopia). Both projects improved PSBI management coverage, increased adoption and uptake, and informed national policy changes supporting potential for sustainability.ConclusionsPragmatic embedded implementation research effectively supports the identification of barriers and mapping to strategies designed to increase effective coverage of PSBI management when referral is not feasible during the COVID-19 pandemic. Despite differences in context, cross-cutting strategies identified could inform broader scale-up in the region, including during future health system shocks.

Adaptive large neighborhood search for drayage routing problems involving longer combination vehicles

Longer combination vehicles (LCVs)—tractor-trailer combinations with two or more trailers—can move more cargo per trip than standard trucks, potentially reducing costs and emissions. Acknowledging this, the drayage industry has recently launched initiatives to increase the adoption of LCVs, aiming to mitigate supply chain issues. This paper aims to support these kinds of initiatives by tackling drayage routing problems involving LCVs and further aspects, such as heterogeneous truck fleets, containers of any size and cargo category, and compatibility constraints based on the containers’ sizes and loads. As solution method, we propose an adaptive large neighborhood search (ALNS) heuristic, whose search operators account for aspects such as truck/container compatibility and load configurations specific to each truck. The proposed ALNS heuristic also incorporates a novel acceptance criterion that seeks to escape local optima while allowing for revisiting the current best solution and avoiding search stagnation. Through a series of benchmark tests against a state-of-the-art exact approach, we show that the proposed ALNS heuristic can consistently find high-quality solutions for a wide range of instances while, in some cases, cutting runtimes from hours or even days to a few minutes. We also show that the proposed acceptance criterion enables improved performance. Finally, we use the proposed ALNS heuristic to derive managerial insights into the savings delivered by different types of LCVs in drayage operations.

Supply chain visibility and integration in the age of the Internet of Things: a retail perspective

Purpose This study aims to assess the use of the Internet of Things (IoT) in retail stores to improve supply chain visibility and integration.Design/methodology/approachThis study employed a qualitative methodology with data collected using semi-structured interviews from a sample selected using purposive sampling. The population consists of 48 employees, of which 6 were selected for the sample as they worked directly with IoT and supply chain issues. Participants were from a SPAR franchise store (Samenwerken Profiteren Allen Regalmatig).Findings Thematic analysis was used to analyse the transcribed data from the interviews. The themes identified include supply chain visibility, supply chain integration and IoT. The findings indicate that the main IoT used is an organisational-wide system, the SIGMA (SPAR Integrated Goods Management Application) system. Other technologies that aid supply chain visibility and integration are geotags, the internet, WhatsApp social media applications, emails and scanners.Practical implications From the findings, this study recommends that IoT systems should be frequently updated to reflect current trends and that IoT systems should enable the integration of small and medium Enterprises (SMEs) suppliers.Originality/value The Fourth Industrial Revolution has ushered in new technologies that revolutionise business operations. Among these technologies is the IoT, which has ushered in a new connectivity area. However, there is little research on the use of IoT for supply chain visibility and integration in the South African retail sector. It provides sector-specific insights and recommendations for retailers, which might not be covered in general supply chain management literature.