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The purpose of this paper is to describe the volume and quality of information and communication channel use at various stages of the malt barley value chain (MBVC) in Ethiopia and to investigate how metrics of these variables influence the extent of integration of the chain.

The study is based on survey data collected from 320 farmers and 100 traders and interview responses compiled from 76 respondents. Descriptive statistics and ordered logistic regression were used for data analysis.

The descriptive statistics show a lower volume and poor quality of information is being shared at farmer-trader interface and that value chain integration (VCI) is weak at all studied interfaces. Results of ordered logistic regression show that information volume and quality positively influence VCI, whereas a positive relationship between channel use and VCI was found only at farm level interfaces. Evidences found suggested that inconsistent information systems, lack of information sharing plans, low level of members’ awareness about the value of information, and lack of trust to share information were factors that inhibited information sharing in the MBVC.

The study offers pioneering evidence of the relative role of information volume and quality and channel use as factors that influence the extent of integration of the value chain.

The purpose of this paper is to examine the role of power on supply chain performance (SCP) in the context of small and medium sized agribusiness enterprises (SMEs). Contrary to most of previous studies, which collect and analyze data from one side of a relationship dyad using a focal firm approach, a matched triad approach was employed in data collection and analysis.

Empirical data was collected from 150 agribusiness supply chain members from the maize supply chain in Uganda. Analysis was done using multi-group analysis and structural equations modeling.

Results highlight the differences in the perception of power use and how it influences SCP. The differences in perception suggest the existence of power asymmetry amongst supply chain members. This work contributes to the ongoing debate concerning the use of triad as a unit of analysis as opposed to a firm or a dyad.

This study only focused on one commodity chain in one country, which can limit the broad application of the findings.

The novelty of this work lies in fact that the authors assess perception of power amongst supply chain members in a triadic context, a perspective that has not been adequately tested in agribusiness supply chain management studies before.

The present study aims to identify and investigate the antecedents of enhanced level of cyber-security at the organisational level from both the technical and the human resource perspective using human–organisation–technology (HOT) theory.

The study has been conducted on 151 professionals who have expertise in dealing with cyber-security in organisations in sectors such as retail, education, healthcare, etc. in India. The analysis of the data is carried out using partial least squares based structural equation modelling technique (PLS-SEM).

The results from the study suggest that “legal consequences” and “technical measures” adopted for securing cyber-security in organisations are the most important antecedents for enhanced cyber-security levels in the organisations. The other significant antecedents for enhanced cyber-security in organisations include “role of senior management” and “proactive information security”.

This empirical study has significant implications for organisations as they can take pre-emptive measures by focussing on important antecedents and work towards enhancing the level of cyber-security.

The originality of this research is combining both technical and human resource perspective in identifying the determinants of enhanced level of cyber-security in the organisations.

The purpose of this paper is to present a methodological approach to support qualitative analysis of waste flows in food supply chains. The methodological framework introduced allows the identification of circular food waste flows that can maximise the sustainability of food supply chains.

Following a qualitative approach, circular economy perspectives are combined with core industrial ecology concepts in the specification of a standardised analytical method to map food waste flows and industrial synergies across a supply chain.

The mapped waste flows and industrial linkages depict two time-related scenarios: (1) current scenarios showing the status quo of existing food waste flows, and (2) future scenarios pointing out circular flows along the supply chain. The future scenarios inform potential alternatives to take waste flows up the food waste hierarchy.

The qualitative approach does not allow generalisations of findings out of the scope of the study. The framework is intended for providing focussed analysis, case by case. Future research involving mixed methods where quantitative approaches complement the qualitative perspectives of the framework would expand the analytical perspective.

The framework provides a relatively low-cost and pragmatic method to identify alternatives to minimise landfill disposals and improve the sustainability of food supply chains. Its phased methodology and standardised outcomes serve as a referential basis to inform not only comparative analysis, but also policymaking and strategic decisions aimed at transforming linear food supply chains into circular economy ecosystems.

The new technology aspects of Industry 4.0 (I4.0), such as digital technologies including artificial intelligence (AI), block chain, big data analysis and the internet of things (IoT) as a digital cosmos, have the potential to fundamentally transform the future of business and supply chain management. By augmenting the functional components of the food supply chain (FSC), these technologies can transform it into an intelligent food supply chain (iFSC). The purpose of this study is to identify the I4.0 utilization for FSC to become an iFSC. Additionally, it suggests future research agendas to bridge the academic knowledge gaps.

This study utilizes the bibliometric analysis methodology to investigate the techno-functional components of iFSC in the context of I4.0. The study followed steps of bibliometric analysis to assess existing components’ knowledge in the area of intelligent food supply chain management. It further reviews the selected articles to explore the need for I4.0 technologies’ adoption as well as its barriers and challenges for iFSC.

This study examines the integration of emerging technologies in FSC and concludes that the main emphasis is on the adoption of blockchain and internet of things technology. To convert it into iFSC, it should be integrated with I4.0 and AI-driven FSC systems. In addition to traditional responsibilities, emerging technologies are acknowledged that are relatively uncommon but possess significant potential for implementation in FSC. This study further outlines the challenges and barriers to the adoption of new technologies and presents a comprehensive research plan or collection of topics for future investigations on the transition from FSC to iFSC. Utilizing artificial intelligence techniques to enhance performance, decision-making, risk evaluation, real-time safety, and quality analysis, and prioritizing the elimination of barriers for new technologies.

The uniqueness of this study lies in the provision of an up-to-date review of the food supply chain. In doing so, the authors have expanded the current knowledge base on the utilization of all I4.0 technologies in FSC. The review of designated publications yield a distinctive contribution by highlighting hurdles and challenges for iFSC. This information is valuable for operations managers and policymakers to consider.

Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs.

A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin.

The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey.

The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.

A good supply chain relationship quality (RQ) is a crucial precursor for any stable exchange relationship which ensures relationship continuity. Although empirical research suggests that strengthening RQ improves supply chain performance (SCP), most studies have focused on dyadic business relationships. To fully understand the relational behaviour of a firm embedded in a supply chain, we need to look beyond the dyad into triads. The purpose of this paper is to investigate how SCP is influenced by RQ in a triadic agribusiness supply chain.

Evidence is drawn from a quantitative survey of 150 agribusiness firms in the maize supply chain in Uganda. Data were collected in triadic context from 50 direct supply chains each composing of a supplier, focal firm and customer. Multi-group structural equations modelling (SEM) was used to assess the differences in perception on the influence of RQ on SCP amongst the supply chain members.

Results provides empirical support for the positive influence of RQ on SCP. SEM reveals differences in perception between the upstream and downstream and amongst the supply chains members. While focal firms considered conflict, coercive power, commitment and trust to be important; suppliers considered trust, dependency and non-coercive power; and customers considered trust, dependency and coercive power to be important RQ factors affecting SCP.

For agribusiness managers to enhance business performance there is need to cultivate strong and mutual relationship with supply chain members. It is also important to know how to handle conflicts and use of power so as to realise the benefits of supply chain relationships.

The paper is novel in that it assesses SCP in a triadic context in an agribusiness sector from a developing country context. The authors used novel approaches including analysis of a triad, and multiple groups SEM to assess perceptions of each supply chain member’s.

The purpose of this paper is to explore the extent of Lean Six Sigma (LSS) implementation within manufacturing companies in the West of Ireland. It examines the key success and failure factors, benefits and quality tools influencing LSS projects deployment.

The study adopted a mixed research method (quantitative and qualitative approach). Research data were collected through a structured survey questionnaire to the target population followed by interview case studies with four manufacturing companies to gather additional insight. The targeted respondents were manufacturing engineers, quality engineers, process improvement managers, operations managers, R&D engineers, LSS experts and validation engineers.

LSS initiatives are still relatively unknown to many SMEs organisations, whereas large companies have adopted LSS for some time. Top management commitment, understanding the LSS methodology, tools and techniques, integrating LSS to business strategy, organisational cultural change and training and education were the topmost key success factors. Organisational strategy, lack of top management support, expensive cost for LSS projects, unclear prioritisation of LSS projects and cost effectiveness were the most important failure factors influencing LSS implementation.

This research is the original work provided by the author and is expected to address the shortcomings of both SMEs and large organisations in the West of Ireland. The recommendations and frameworks reported in this paper can be used by manufacturing and service companies in Ireland for efficiency, competitiveness and continuous improvement.

Given the lacuna in sustainability studies which investigate collaborative supply chain relationships in the context of the circular economy (CE), the purpose of this paper is to explore how farmers manage stakeholder relationship in the supply chain to reduce food waste within the CE framework.

A qualitative approach using semi-structured interviews is used to collect primary data for this research. Interviews are conducted with farmers across different farming types in the UK. A thematic analysis is used to discuss the most prominent themes.

The findings extend previous research investigating collaboration in sustainability settings. Farmers adopt collaborative relationships to manage exchanges of food waste and to share knowledge of waste management practices. However, contrary to extant literature, the study finds that geographic proximity is still relevant in the CE framework, although its importance is determined by the type of exchange: i.e. physical or non-physical.

Based on the study’s findings, recommendations for further research are proposed. The study also advises on practical considerations for supply chain managers wishing to adopt collaborative relationships to support circular models of supply chains.

The study contributes to the sustainability literature by adding new knowledge to the relatively new theory of the CE. It demonstrates that factors of collaboration identified in previous sustainability research are still relevant in the CE framework, and thus require further investigation into the significance of collaboration. The study is also of relevance to supply chain managers wishing to adopt the CE framework in the transition to more sustainable supply chains.