Supply Chain Activities Research Articles

Conceptualizing Agrifood Systems for a Healthy, Sustainable, and Just Transformation: A Systematic Scoping Review

Human and planetary health are interconnected through food and agriculture. Food production and consumption patterns continue to drive the global burden of malnutrition, diet-related disease, climate change, and environmental degradation. There is an urgent need to identify pathways for transforming agrifood systems to be increasingly healthy, sustainable, and just, but conceptual frameworks necessary for visualizing these complex relationships are limited. This systematic scoping review identified existing frameworks for analyzing human and environmental outcomes of agrifood systems and evaluated their inclusion of policy and governance. Frameworks have evolved to increasingly consider the food supply chain activities and actors, the drivers that shape them, and the outcomes of these interactions. The findings of the review were used to develop a conceptual framework specific to modern industrialized agrifood systems where policy landscape is an explicit component. The framework is tailored to researchers and policymakers with the intention of providing a foundation for analyzing and communicating agrifood system issues, including identifying facilitators and barriers to effective policy, places to intervene in the system, and windows of opportunity for successful transformation.

Be digital to be sustainable! The mediating role of sustainable supply chain practices in triggering the effects of digitalisation on Sustainable Development Goals in the European Union

Research background: European Union (EU) economies need to enhance sustainable supply chains (SSCs) through digitalisation to realise sustainable development goals (SDGs). However, the impact of digitalisation on the SDGs is complex and multifaceted, and the role of SSCs in mediating this relationship is not fully understood. While extant research has delved into the influence of digitalisation on SSCs, predominantly within specific industries or geographic regions, a research gap persists concerning large-N samples and the generalisability of results. Purpose of the article: This study evaluates the role of digitalisation in achieving SDGs along with the mediation of SSCs based on the resource-based view, the triple-bottom-line, and dynamic capabilities theories. Methods: The study has extracted panel data from Eurostat from 2013 to 2022 and evaluated these data through partial least squares structural equation modelling to estimate the association among constructs. The sample covers the EU–27 countries and consists of 270 observations. Digitalisation is operationalised as the use of digital technologies to, for instance, innovate business models, provide new revenue streams and value-producing opportunities, and enhance, streamline, and make supply chain processes more efficient and environmentally sustainable. SSC practices encompass the design, planning, execution, and monitoring of supply chain activities to create value, optimise resources, and minimise environmental impact. Findings & value-added: The findings indicate that digitalisation has a positive association with SDGs and SSC practices. The study also noted that SSC initiatives play a mediating role between digitalisation and SDGs among the EU economies. These interesting insights could direct policymakers to enforce the initiative of digitalisation in SSCs to boost SDGs in EU economies. Although the literature on digitalisation and SSCs has gained significant attention, this is the first study in these domains.

Integrating arrival time estimation in truck scheduling: an explorative study in grocery retailing

ABSTRACT This paper studies a new managerial approach that integrates predictive trucks’ estimated time of arrival (ETA) into truck scheduling to deal with the truck arrival time uncertainty. The approach exploits ETA to reschedule trucks by the up-to-date information and aims to minimize the trucks’ waiting time. The approach was applied in a real case. Results quantified the impact of adopting ETA for truck scheduling, also showing how the ETA accuracy and peak truck arrival rate affect the total trucks’ waiting time. The paper enriches both truck scheduling literature, investigating a new managerial approach to deal with truck arrival time uncertainty, which greatly threatens the synchronization of logistics flows, and Industry 4.0 literature, showing how real-time data availability can change traditional decision-making processes. Insights for the approach application are discussed, together with the economic, environmental, and social benefits by supply chain actors (i.e. carriers, warehouse managers, and drivers).

Measuring Supply Chain Performance Using the SCOR Model: A Case Study of CV. XYZ

This research discusses the design of a performance measurement system for supply chain management using the Supply Chain Operations Reference (SCOR) model developed by the Supply Chain Council. The SCOR model focuses on five main activities within a company's supply chain, namely plan, source, make, deliver, and return. All activities are linked with performance attributes such as reliability, responsiveness, flexibility, cost, and assets. The implementation of this model is applied to CV. XYZ, a company that operates in the production of plain and printed T-shirts, which is located in East Java. The research was conducted from January 2024 to September 2024. The results of the study identified that there are 35 performance indicators representing supply chain activities, with the following breakdown: 9 indicators for the plan activity, 7 indicators for the source activity, 6 indicators for the make activity, 7 indicators for the deliver activity, and 6 indicators for the return activity. The Analytical Hierarchy Process (AHP) method was used to weight each activity in the SCOR model. Based on the results, the highest priority was the source activity (0.252), followed by deliver (0.222), plan (0.221), make (0.209), and return (0.095). From the scoring system, it was found that 23 indicators have a green score, 8 indicators have a yellow score, and 4 indicators have a red score. The limitation of this research is that one SCOR activity, "enable," was not analyzed. Therefore, it is recommended that future research analyze all SCOR activities.

Cybersecurity at Sea: A Literature Review of Cyber-Attack Impacts and Defenses in Maritime Supply Chains

The maritime industry is constantly evolving and posing new challenges, especially with increasing digitalization, which has raised concerns about cyber-attacks on maritime supply chain agents. Although scholars have proposed various methods and classification models to counter these cyber threats, a comprehensive cyber-attack taxonomy for maritime supply chain actors based on a systematic literature review is still lacking. This review aims to provide a clear picture of common cyber-attacks and develop a taxonomy for their categorization. In addition, it outlines best practices derived from academic research in maritime cybersecurity using PRISMA principles for a systematic literature review, which identified 110 relevant journal papers. This study highlights that distributed denial of service (DDoS) attacks and malware are top concerns for all maritime supply chain stakeholders. In particular, shipping companies are urged to prioritize defenses against hijacking, spoofing, and jamming. The report identifies 18 practices to combat cyber-attacks, categorized into information security management solutions, information security policies, and cybersecurity awareness and training. Finally, this paper explores how emerging technologies can address cyber-attacks in the maritime supply chain network (MSCN). While Industry 4.0 technologies are highlighted as significant trends in the literature, this study aims to equip MSCN stakeholders with the knowledge to effectively leverage a broader range of emerging technologies. In doing so, it provides forward-looking solutions to prevent and mitigate cyber-attacks, emphasizing that Industry 4.0 is part of a larger landscape of technological innovation.

Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation Council Region

Background: Despite the resurgence of interest in augmented reality (AR) due to Industry 4.0 and its ability to resolve several challenges faced by current business models, comprehensive research examining the capabilities of AR in supply chain management (SCM) and logistics remains limited. This article aims to investigate the potential effects of AR technology on organizational performance through the mediation role of SCM and logistics value chain functions to address the existing knowledge gap. Methods: This research employed a cross-sectional design and an explanatory survey as a deductive approach for hypothesis development. The primary data collection method involved the self-administration of a questionnaire to furniture suppliers located in the Gulf Cooperation Council (GCC), including six countries. Of the 656 questionnaires submitted to suppliers, 483 were considered usable, yielding a response rate of 73.6%. The research utilized partial least squares structural equation modelling (PLS-SEM) and artificial neural network (ANN) techniques to evaluate the gathered data. Results: The current paper’s statistical evidence demonstrates that AR implementation has a positive impact on the supply and logistics value chain activities and organizational performance of furniture suppliers in the GCC region. Moreover, it illustrates that the design and planning variable of supply chain value dominates as the primary predictor of organization performance. The results indicated that the ANN strategy provided a more comprehensive explanation of internally generated constructs compared to the PLS-SEM technique. Conclusions: This study demonstrates its usefulness by advising furniture industry decision-makers on what to avoid and what aspects to consider when creating plans and regulations. The report also suggests operations managers apply machine learning (ANN) for prediction and decision-making in supply and operations value chains. This essay looks at how the AR and resource-based supply value chain view may affect company performance across countries, firm sizes, and ages.

Sustainability performance assessment of sago industry supply chain using a multi-criteria adaptive fuzzy inference model

Background Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Implication The sago agro-industry sustainability performance evaluation methodology uses industry-relevant metrics to assess supply chain sustainability, promoting collaboration among stakeholders and assisting in the creation of sustainable strategies. Conclusions The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

Decarbonization and waste reduction in a disrupted food supply chain: a step towards achieving food sustainability

PurposeThis study aims to reduce carbon emissions and minimize waste in the event of disruptions in a short and fast-food perishable such as fruits, vegetables, packaged food items, etc. supply chain through optimal investment in green and preservation technologies.Design/methodology/approach This study utilized a Hessian matrix approach to optimize decision variables with an objective to maximize the profit function.FindingsThe study demonstrates that investing in both green and preservation technology within a short and fast-food supply chain is highly beneficial for decarbonization and waste reduction and it leads to profit maximization. It has been shown with the help of a numerical experiments with investment in both green and preservation technology that total profit is 3.09% higher than without investment made in either technology.Practical implicationsThis study aids the industry in achieving food sustainability by minimizing waste of perishables and also minimizes carbon emissions which is essential for environmental protection. It assists industries in determining the optimal investment in preservation technology to minimize waste and in green technology to reduce emissions, thereby maximizing profits.Originality/valueThe current study formulates an inventory model that helps in decarbonization and waste reduction in food supply chain with the consideration of machine learning, demand disruption, preservation technology investment, screening of purchased items, waste disposal, a double triangular distribution deterioration rate, green technology investment, carbon emissions from various supply chain activities, carbon tax policy and fuel price variation over time for perishable food products in a two-warehouse system.

Digital Transformation in the Health Product Supply Chain: A Framework for Analysis

ABSTRACT Well-functioning supply chains for medicines and other health products are vital for a health system’s goals of ensuring access, quality, and efficiency. However, in several countries the performance of government-run supply chains for health products remains subpar. The widespread adoption of digital technology presents new opportunities for enhancing the performance of the health product supply chain. This paper aims to provide a practical and systematic analysis of digital initiatives within health product supply chains. It provides examples of successful digital interventions in each of the Enable, Plan, Source, and Deliver categories of the Supply Chain Operations Reference model. The examples provide clear evidence that the use of digital technology in the health supply chain can improve access and affordability; in some instances, use of digital technology can lead to faster health product adoption and alter the overall architecture of decision making. While many digital interventions in the public sector supply chain target the collection of data and its analysis and use for reporting, the long-term effectiveness of digital solutions hinges on their ability to enhance the agency of supply chain actors. A thorough and systematic inquiry about the logic model of how a particular digital solution enhances agency and improves accountability is essential at the outset. In developing roadmaps to prioritize and sequence digital solutions in health supply chains, governments should start by asking where lack of information is the primary constraint impeding supply chain performance.

Mutual trust between German meat sector stakeholders and animal welfare and environmentalist NGOs regarding multi-stakeholder policies for sustainable meat production

Excessive meat production and consumption (especially in high-income countries) are linked to global sustainability hazards, such as climate change. Yet, sustainable meat production constitutes a wicked problem (i.e., a problem resistant to final resolution with diverging interests by relevant stakeholders) and political intervention accordingly has remained limited. To tackle wickedness, scholars recommend policy formats that embrace diversity and complexity among stakeholders, so-called multi-stakeholder engagement strategies (MSESs). Trust is said to facilitate stakeholder cooperation and ranks among the key ingredients to and outcomes of effective MSESs. Yet, trust remains under-conceptualized in the research on MSESs regarding sustainable meat production. Thus, to gauge stakeholders’ willingness to cooperate in respective MSESs, our research applied a seminal framework to probe the mutual trust between core actors of the meat supply chain. Focusing on Germany, we investigated the relationship between those stakeholders assumed to share rather fragile bonds (i.e., representatives of meat production and of NGOs that advocate environmental and animal welfare causes). Using semi-structured interviews we asked both parties about their mutual relationship, their opinion about MSESs and their willingness to cooperate with each other in them. Interview results were triangulated with secondary data. Our findings indicate limited trust by each party with the meat sector possibly being less trusting. They also reveal characteristics that may diminish trust in the eyes of each party. Our results further indicate acceptance of MSESs by both parties and suggest key characteristics that are relevant to their success.

Capabilities to create new value for business sustainability: a retailer case study from Malaysia

PurposeThe lack of a direct link between business value and sustainability is a critical roadblock to truly embedding sustainability in business strategies. Before launching the sustainability journey, every organisation should answer the question: “What value would this strategy offer our organisation?” Conversely, when organisations are opportunistic toward quick profits, the negative consequences of one domain spill over to another. The desire to produce more may result in overproduction, overconsumption or environmental pollution.Design/methodology/approachTo give a complete analysis of sustainable capabilities, this study combines current theoretical understanding from past literature, followed by exploratory interviews and a thorough case study. The case study ventured into uncharted territories, unveiling an exciting new sphere of value catalysed by the mechanisms of sustainable co-creation. Additionally, it exposed thought-provoking motives driving supply chain actors’ unwavering commitment to ethical decision-making, even amidst towering challenges.FindingsOur empirical lens reveals the hidden mechanics of resource sharing and the genesis of newfound value, illuminating previously obscure corners of the sustainability field. Moreover, it sheds light on retailers striving to cultivate green retail supply chains. It delivers an actionable framework that bolsters business sustainability and fuels competitive edge, which is vital in the rapidly evolving landscapes of emerging economies.Originality/valueThis study offers insights into the sustainable value-creation mechanism in ALPHA, a Malaysian retailer, uncovering how supply chain actors’ business activities generate economic, social and environmental performance.

Driving sustainability in the sugarcane industry: Life Cycle Assessment of conventional and emerging spraying technologies in Tanzania

Sugarcane dominates global sugar and bioethanol production, involving extensive cultivation and supply chain activities. The sugarcane development encounters challenges, such as climate change, diseases, pests, and water scarcity, affecting growth and yields. Sugarcane management often involves the use of pesticides, which risk soil and water contamination. It also leads to biodiversity loss, high water use, greenhouse gas emissions, and energy consumption. This study conducted a life cycle assessment to compare the environmental impacts of cropdusters and drones in ripener application for sugarcane farming. The life cycle assessment enables informed decisions on sustainable practices by providing a holistic view of environmental impacts, facilitating comparisons, and identifies hotspots. The analysis examined the impacts of machinery, ripener compounds, and spraying operations. It explored using sugarcane waste (bagasse) as bioenergy for drone batteries or cropdusters. Results show that drones minimize environmental impacts by 11,557 kgCO2eq, 128,079 MJ, and 103 m3 for 40 ha farm compared to using cropdusters. Also, bagasse from a 40-ha farm can generate 1.93E+09 Wh of bioenergy, enough to charge drone batteries for spraying over approximately 4.9 million ha or to fuel cropdusters for 0.04 million ha of sugarcane. Conclusively, emerging technologies help to reduce environmental impacts and align with sustainable development goals, SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 15 (Life on Land). These goals promote renewable energy, enhance agricultural efficiency, and ensure sustainable resource management, fostering a global transition to sustainable practices.

Determinants of information asymmetry in agri-food supply chains

PurposeWith its presence, which can create inefficiencies, uncertainties and risks, information asymmetry poses a significant challenge to successfully managing the agri-food supply chain (AFSC). Understanding the variables that influence information asymmetry is crucial for devising more effective strategies to mitigate it. This study, therefore, explores the variables that influence information asymmetry in the AFSC.Design/methodology/approachA qualitative analysis was conducted, relying on semi-structured interviews with 17 experts representing different actors in the AFSC (e.g. seed producers, retailers, etc.) in Germany. The collected data was analysed using the GABEK® method.FindingsThe study confirms that the influencing variables derived from the existing theory, such as price performance, digitalisation, environmental, process and quality measures, contribute to information asymmetry. It further reveals new variables that associate with information asymmetry, including documentation requirements, increasing regulation, consumer behaviour, incorrect data within the company as well as crises, political conflicts and supplier–buyer conflicts. Furthermore, the study shows that supply chain actors counteract asymmetry by focusing on social behaviour and monitoring suppliers through key performance indicators, employees and social aspects.Research limitations/implicationsThe study was limited to the universal influence of the variables on information asymmetry in the AFSC, making the magnitude of the influence and its context-specific nature unexplained.Originality/valueThis study is one of the very few that examines information asymmetry across the AFSC from the perspective of different actors, providing a more overarching and deeper understanding of information asymmetry.

Performance Evaluation of Green Supply Chain Management in Canned Fish (Sardines) Production Unit: A Case of Indonesia

Indonesia's fishing industry, especially in East Java Province, shows great potential but also harms the environment. CV. Pasific Harvest Surabaya (CV. PHB) is a fish canning industry in Banyuwangi Regency, which is currently facing problems such as the supply of raw materials, which continues to decline; the company has not measured and planned the total consumption of energy, fuel, water and the problem of workers who have not received environmental training. Although a waste processing system is in place, the production process still carries the risk of environmental pollution. The researchers collected data through observation, interviews, literature studies, and paired comparison questionnaires. The results of the research reveal that CV. PHB manages three supply chain flows with four supply chain actors. The final performance score is 81.77, with 24 verified KPIs. The KPIs that need performance improvement are packaging time until the product is picked up by the delivery service (D4), time for handling customer complaints (R3), and environmental training for workers (E1).

Integrating risk management in implementing circular economy principles in the healthcare sector: a case study from Indonesia

Purpose The purpose of this study is to explore the integration of risk management and circular economy (CE) principles within the healthcare sector to promote sustainability and resilience. Specifically, the study aims to demonstrate how risk management can support the transition to a circular economy in healthcare supply chains. By integrating risk management practices with CE principles, healthcare organizations can identify potential risks and opportunities associated with circular initiatives. Design/methodology/approach This study adopts a qualitative research approach, using a case study methodology with semi-structured interviews conducted at primary care facilities to understand the application of CE principles in practice. The study uses fuzzy logic methods to assess and mitigate risks associated with strategies promoting CE principles. Additionally, key performance indicators are identified to evaluate the effectiveness and enhance the resilience of these strategies within healthcare supply chains. Findings The study highlights the critical role of robust risk management strategies in facilitating the transition to a circular economy within healthcare organizations. Primary care facilities, which are critical to frontline healthcare delivery, are particularly vulnerable to product shortages due to supply risks. This study focuses on critical protective equipment, specifically latex gloves and assesses operational risks, including supply, demand and environmental risks, using a fuzzy logic-based model. Import delays were found to be a moderate risk, typically occurring once a year. The research highlights critical KPIs for a successful CE transition within healthcare supply chains, such as on-time delivery and service quality, which are directly related to the risk of supply chain disruption. In addition, the study highlights the significant impact of other CE strategies on healthcare supply chains, including localized production and manufacturing, innovation in product development, reverse logistics, closed-loop supply chains and the adoption of lean principles. Practical implications This study provides valuable insights for healthcare organizations to optimize resource efficiency, reduce waste and promote circularity in their operations. By implementing the proposed solutions and focusing on the identified KPIs, organizations can develop strategies to achieve sustainability goals and enhance resilience in healthcare supply chains. Originality/value This study contributes to the literature by demonstrating the application of risk management in facilitating the transition to a circular economy in the healthcare sector. The use of fuzzy logic methodology offers a novel approach to assessing and mitigating risks associated with critical product failures in supply chain activities. The study’s findings provide practical guidance for healthcare organizations seeking to integrate circular economy principles and improve sustainability performance.

How does environmental policy affect operations and supply chain management: A literature review

Governments in many countries actively carry out various policies to tackle pollution problems sourced from operations and supply chain activities, aiming at reducing adverse environmental impact and promoting sustainable development. This study provides a comprehensive and well-structured review of research on operations and supply chain management within the context of environmental policy. Specifically, this study meticulously identifies 137 papers and presents the descriptive results of a bibliometric analysis on these papers. Afterwards, using a well-defined framework encompassing three types of policies and various levels of operational and supply chain management, the identified papers are further classified. For each classification, content analyses are conducted accordingly, delving into the diverse concerns and contributions of the reviewed papers from the perspectives of pricing, production planning, inventory and technology management, coordination and competition, recycling and remanufacturing activities, transportation decisions, and network design. Three aspects of sustainability performance are also considered in the analyses. Finally, this study provides future research directions from seven perspectives: research methodology, forms of regulation, dynamic games, types of contracts, sustainable target management, green behavior of supply chain members, and investment constraints. These insights in turn inform the development of policies and decision-making processes related to environmental sustainability.

Toward a sustainable future: integrating circular economy in the digitally advanced supply chain

PurposeStringent environmental regulations and the need for a robust supply chain (SC) network have necessitated organizations to adopt circular economy (CE) practices. With proven impact of CE practices on SC activities, digital technologies are prompting organizations to digitalize SC networks. Yet, the correlation between SC digitalization and CE practices has been less examined. This study aims to identify and evaluate, the critical success factors (CSFs) necessitating SC digitalization and strategies helping in SC digitalization.Design/methodology/approachAn extensive literature review was performed to identify CSFs and strategies for SC 4.0 (SC4.0), and for finalization, experts’ input was obtained with the Delphi approach. An integrated Fermatean fuzzy set – analytic hierarchy process – decision-making trial and evaluation laboratory – combined compromise solution technique was used to evaluate CSFs and strategies.FindingsSmart work environment, performance monitoring and data reliability and relevance were identified as the top three important CSFs for SC digitalization. Enhancement of analytical capability, data-driven process optimization and development of an integrated digital platform were identified as potential SC4.0 transition strategies.Practical implicationsThis study helps SC practitioners better understand the CSFs and strategies for the SC4.0 transition. Furthermore, this study explores the integration of CE principles within these digital strategies, emphasizing how sustainability practices can be embedded in the SC4.0 framework to foster a more resilient and environmentally conscious electronics SC in India.Originality/valueTo the best of the authors’ knowledge, this work is the first to analyze CSFs for SC4.0 in the Indian electronics industry.

The paradoxical nature of greening transportation: an analysis of tensions in buyer–supplier dyads

PurposeContradictory sustainability priorities and perspectives among supply chain actors in greening transportation can be challenging. Several of these contradictions can be described as paradoxes (i.e. interests that are logical in themselves, but become irrational when perceived together). The aim of this study is to increase the understanding of paradoxical tensions hampering the greening of transportation in transport buyer–supplier dyads.Design/methodology/approachA case study method targeting greening transportation in two transport buyer–supplier dyads was applied, followed by an analysis with a point-of-departure in paradox theory.FindingsTensions related to performing, belonging, learning and organizing paradoxes in greening transportation were identified. These tensions arise as a consequence of actions, perspectives and other tensions, within three identified loci in individual companies and in dyads.Research limitations/implicationsBy identifying examples of tensions through the lens of paradoxes in a particular setting, this study provides an increased understanding of why the transition toward green transportation goes slow, despite the high ambitions of involved actors. The suggested framework provides a novel contribution to the literature that further increases the understanding of tensions, by providing additional insights into where tensions arise and how actions, perspectives and tensions in one place of a locus spectrum can disseminate along that spectrum.Originality/valueThis study is original because it applies paradox theory and the four categories of performing, belonging, learning and organizing within the field of greening transportation, and in particular as a lens to study interactions between different actors.

Stakeholder Insights: A Socio-Agronomic Study on Varietal Innovation Adoption, Preferences, and Sustainability in the Arracacha Crop (Arracacia xanthorrhiza B.)

Arracacha, a root crop indigenous to the Andean region of South America, holds significant agronomic and socio-economic importance in Colombia. The study aims to evaluate the impacts of adopting the ‘Agrosavia La 22’ variety on agricultural sustainability and productivity, encompassing economic, environmental, and social dimensions. Additionally, it analyzes the preferences of farmers and other stakeholders regarding the sustainability of the introduced technological innovations. Conducted over three years (2021–2023), the study offers comprehensive insights into adoption trends and stakeholder perceptions. Utilizing the Ambitec-Agro methodology, the research assesses the environmental, social, and economic impacts of ‘Agrosavia La 22’. Data collection involved field observations and interviews with farmers and key actors in the arracacha supply chain. Results indicate a substantial increase in the cultivated area from 1500 hectares in 2021 to 2650 hectares in 2023, with the proportion of total cultivated area rising from 47.6% to 84.1%. Economically, ‘Agrosavia La 22’ demonstrated significant input cost savings, reducing costs by USD 347 per hectare by 2023 and enhancing producer surplus from USD 30.95 to USD 651.16 per hectare. Yield comparisons show higher median yields for ‘Agrosavia La 22’ (20 t ha−1 in 2023) compared to traditional varieties (12.5 t ha−1). Socially, there was a marked improvement in farmers’ income perceptions, and environmentally, there was a reduction in greenhouse gas emissions (324.05 kg CO2-eq ha−1) due to optimized fertilizer and pesticide applications. Eco-efficiency (EE) analysis shows that ‘Agrosavia La 22’ consistently demonstrated positive EE values, indicating economic viability alongside lower GHG emissions. In 2021, its EE stood at 2.2 USD/kg CO2-eq, increasing to 27.75 USD/kg CO2-eq by 2023, reflecting substantial economic gains relative to environmental impact. Conversely, the traditional variety initially exhibited lower EE due to high GHG emissions. Challenges such as soil quality decline and market price volatility were noted. Overall, the findings underscore the economic, social, and environmental benefits of ‘Agrosavia La 22’. Furthermore, the methodology used in this study can be applied to the evaluation of other varietal innovations in developing countries with limited resources for assessing agricultural technology impacts.

Bridging the gap: Analysis of systemic barriers to irrigation technology supply businesses in Ethiopia

This study examines the barriers faced by irrigation technology and service suppliers in Ethiopia, and their influence on business effectiveness. Data were collected from 42 firm owners and managers across 21 enterprises through online surveys, phone calls, and in-person interviews in August 2020. Additional insights were provided by 35 key informants. The study utilized a qualitative analysis of survey responses by employing narrative and triangulating information gathered from several actors in the irrigation technology supply chain. The results indicate that a range of barrier categories, including difficulties linked to business enablement, technology user behavior, and business capacity, significantly impede the development and success of small-scale irrigation technology enterprises in Ethiopia. More specifically, barriers include the increasing diffusion of substandard irrigation technology products, such as water lifting devices, and a scarcity of genuine spare parts, which present major obstacles for small-scale irrigation technology suppliers in Ethiopia. Insufficient user awareness regarding the importance of maintenance and repair services has led to frequent equipment failures, eroding consumer trust and demand for irrigation technologies. Additionally, limited access to market information and financial constraints, including foreign currency shortages, further hindered suppliers’ ambitions to increase the scale of their operations. More importantly, lengthy import processes and inefficient tax exemption systems increase equipment costs, impeding the adoption and dissemination of technologies, such as solar-powered irrigation pumps. Addressing these challenges is critical for improving the supply and effectiveness of irrigation technology in Ethiopia.