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1 – 10 of 202An Thi Binh Duong, Teck Lee Yap, Vu Minh Ngo and Huy Truong Quang
The growing awareness of climate risks associated with food safety issues has drawn the attention of stakeholders urging the food industry to carry out a sustainable food safety…
Abstract
Purpose
The growing awareness of climate risks associated with food safety issues has drawn the attention of stakeholders urging the food industry to carry out a sustainable food safety management system (FSMS). This study aims to investigate whether the critical success factors (CSFs) of sustainable FSMS can contribute to achieving climate neutrality, and how the adoption of FSMS 4.0 supported by the Industry Revolution 4.0 (IR 4.0) technologies moderates the impact of the CSFs on achieving climate neutrality.
Design/methodology/approach
Survey data from 255 food production firms in China and Vietnam were utilised for the empirical analysis. The research hypotheses were examined using structural equations modelling (SEM) with route analysis and bootstrapping techniques.
Findings
The results show that top management support, human resource management, infrastructure and integration appear as the significant CSFs that directly impact food production firms in achieving climate neutrality. Moreover, the results demonstrate that the adoption of FSMS 4.0 integrated with the three components (ecosystems, quality standards and robustness) significantly moderates the impact of the CSFs on achieving climate neutrality with lower inputs in human resources, infrastructure investment, integration and external assistance, and higher inputs in strengthening food safety administration.
Originality/value
This study provides empirical findings that fill the research gap in understanding the relationship between climate neutrality and the CSFs of sustainable FSMS while considering the moderating effects of the FSMS 4.0 components. The results provide theoretical and practical insights into how the food production sector can utilise IR 4.0 to attain sustainable FSMS for achieving climate neutrality.
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Aniekan Essien, Godwin Onyekachi Chukwukelu, Nikolai Kazantsev and Nachiappan Subramanian
The global food industry is faced with the dilemma of finding a balance between food wastage and food shortage. Approximately one-third of food produced globally goes to waste…
Abstract
Purpose
The global food industry is faced with the dilemma of finding a balance between food wastage and food shortage. Approximately one-third of food produced globally goes to waste, while about 800 million people suffer from undernourishment. Given this context, the purpose of this study is to investigate the unresolved challenges related to enhancing transparency associated with products of high perishability and low shelf life.
Design/methodology/approach
The authors conducted 25 interviews with global agri-food supply chains (AFSCs) experts to ask what impedes the progress of the current technologies, such as blockchain, to enable transparency and traceability (T&T) in AFSCs.
Findings
The findings indicate barriers at the individual, firm and supply chain levels. Based on these barriers, the authors propose an interconnected framework to explain technologically-driven T&T and guide on barrier removal from AFSCs. The authors conclude that by applying technology (i.e. blockchain) the authors can resolve the tension of supporting T&T in AFSCs. This can enable the efficient and transparent tracking of goods, reduction of food waste and loss, as well as promotion of the use of recyclable packaging and further sustainable practices and materials, all of which are aligned with a range of UN Sustainable Development Goals (2, 8, 10 and 12). Moreover, the authors see that some factors are interrelated. Based on these factors, the authors build an interconnected framework to guide on barrier removal from AFSCs. Managers in AFSC would find the findings especially relevant.
Originality/value
Drawing on industrial network theory and signalling theory, the authors propose an interconnected framework for explaining barriers (challenges) and potential solutions (opportunities) to T&T in AFSCs. This framework is developed by examining the interconnections of barriers at micro, meso and macro levels and applying signalling theory to explain how solutions address these barriers. The specific contributions of this study are: the list of barriers that impede the implementation of technological solutions for T&T in AFSCs; and a three-stage framework that explains how to remove the barriers for T&T. The study is limited by the focus on blockchain, which calls for future research once the next decentralised technology becomes available.
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Nirma Swaris, Rangika Umesh Halwatura and Dilanthi Amaratunga
Policy coherence is a complex and tough task for many developing nations because their capacity to examine and deliver evidence-based inputs to policymaking is limited, and policy…
Abstract
Purpose
Policy coherence is a complex and tough task for many developing nations because their capacity to examine and deliver evidence-based inputs to policymaking is limited, and policy dialogue platforms need to be effectively used. Resolving these difficulties is a critical requirement for policy consistency. As a result, the study focuses on the level of policy coherence for climate change adaptation (CCA), disaster risk reduction (DRR) and sustainable development goals (SDG) in Sri Lanka and suggests routes for policy coherence for Resilience. This study aims to investigate the coherent approach of CCA, DRR and SDG; to identify concerns in policy documents addressing the coherence of CCA, DRR and SDG in local context; and to propose policy coherence suggestions for resilience in Sri Lanka.
Design/methodology/approach
Methodology comprises a review and content analysis of 17 policy and legal documents in Sri Lanka and a qualitative study. The qualitative approach consists of semistructured interviews that obtained deep and broad expertise knowledge with ten government representatives and stakeholders. Both content analysis and interview data were analyzed by using NVivo.
Findings
It was discovered that there are several issues with the coherence of policies in Sri Lanka, including the fragmented approach, lack of integration, inadequate coordination, limited resources and lack of monitoring and evaluation. The policies are inspired by international frameworks, and local implementations are not focused, leading to inadequate implementation of policies. The lack of development cooperation for the use of innovative approaches, such as climate-resilient infrastructure and environmentally friendly solutions for CCA and DRR, further aggravates the situation. Another concern is the lack of land use management and responsibility for the development of physical infrastructure for DRR integration with CCA. It is found that there is a limited community involvement which is vital for the implementation of policies. Local implementations are encouraged to fill the gaps in existing policies/acts. The analytical framework of the study is based on a preliminary examination of policy documents, a review of the literature and discussions with practitioners. The framework reflects the current situation of policy integration which addresses strategic, conceptual, institutional, operational and financial coherence. The research suggests pathways for achieving policy coherence in CCA, DRR and SDG in Sri Lanka, such as enhancing the strategic coherence by improving goals to increase the coherence within CCA, DRR and SDG; improving the credibility of the unified approach for developing DRR and CCA risk assessments; intensifying institutional cooperation and stakeholder management; improving the common monitoring and evaluation; establishing implementation strategies; and increasing the community involvement.
Research limitations/implications
The study on policy coherence in Sri Lanka recommends increasing community and professional involvement, conducting more research, developing a national strategy, increasing capacity building, strengthening international collaboration and fostering multisectoral collaboration. These recommendations can help improve policy coherence between CCA, DRR and SDGs, align policies with national goals and priorities and improve implementation effectiveness. By implementing these recommendations, Sri Lanka can address the challenges of climate change and natural disasters and achieve SDGs.
Practical implications
The study on policy coherence for resilience in Sri Lanka has practical implications, including improved coordination and resource allocation, increased capacity building, improved reputation and sustainability. By integrating CCA, DRR and SDGs, this study can help Sri Lanka become more resilient to climate change and natural disasters, achieve SDGs and become a responsible actor in the international community. These implications can contribute to a more sustainable future and ensure that development goals are achieved in a way that is resilient to climate change and natural disasters.
Social implications
Increased community participation: the study emphasizes the importance of community involvement in the policy development process. This can help build trust between communities and government agencies, improve transparency and ensure that policies are developed in a way that is responsive to local needs and priorities.
Originality/value
Based on the identified existing loopholes in the policies and pathways to policy coherence, the issues in policymaking could be overcome. It could be used to establish strong linkages between policies based on CCA, DRR and SDGs to achieve long-term resilience.
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Fred Nimoh, Stephen Prah, Fred Yamoah and Doreen Agyei
In view of the increasing trend in food policies targeting the promotion of consumer interest in locally produced foods and growing developments in willingness-to-pay (WTP…
Abstract
Purpose
In view of the increasing trend in food policies targeting the promotion of consumer interest in locally produced foods and growing developments in willingness-to-pay (WTP) methodologies, the authors investigate consumer preference for packaged traditional drink asaana.
Design/methodology/approach
The study used a simple random sample of 336 consumers to draw on perception index and contingent valuation methods to evaluate consumers' perceptions of the attributes of packaged asaana – a traditional maize-based beverage produced in Ghana (also known as Ghana Coca-Cola). A tobit regression model was employed to analyze consumers’ WTP for the product.
Findings
Analyzing the factors that influence consumers' WTP for packaged asaana using the tobit regression model, the study established the existence of positive health and nutrition, economic benefits and purchasing decision-making perceptions for asaana. While the results further showed that consumers are willing to pay a premium for well-packaged asaana, demographics such as age, income level, labeling, price of the product and savings were found to exert significant influence on consumers’ WTP for packaged asaana. Salient recommendations for food processors and relevant government agencies and food policy implications are identified.
Research limitations/implications
Comprehending WTP provides valuable understanding regarding consumer qualms, actions and WTP for more secure traditional drinks and an examination of how the different factors that influence WTP for local beverages help boost local beverage production and guarantee employment.
Practical implications
Analyzing WTP data for traditional drinks reveals important implications for production, marketing and public health policies. Certification systems for traditional beverages may be beneficial, and the findings can be used to create public awareness campaigns about the safety of local drinks.
Originality/value
Assessing the WTP among Ghanaian consumers for traditional drinks, specifically asaana, is a ground-breaking study. The contingent evaluation (CE) and tobit regression approaches utilized in this research are strong, and the results obtained can guide decisions related to traditional drink production, marketing and the development of public health policies.
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Weihua Wang, Dong Yang and Yaqin Zheng
The purpose of this study is to understand the psychological mechanism that affects consumer trust by focusing on the formation and influence process of psychological contracts…
Abstract
Purpose
The purpose of this study is to understand the psychological mechanism that affects consumer trust by focusing on the formation and influence process of psychological contracts, and taking this opportunity, explore the influence paths of food quality, food safety and service quality on consumer trust in the online food market, and provide theoretical suggestions for building trust in food businesses' consumers.
Design/methodology/approach
This study is based on an empirical investigation and uses partial least square structural equation modeling for analysis. Survey data were collected online from 359 APP users of online food transaction platforms in China.
Findings
Food quality, food safety and service quality influence consumer trust through the mediating effects of relational and transactional psychological contracts. However, the differences between these influencing paths are obvious and shift with changes in the marketing channels.
Practical implications
This study contributes to the body of consumer trust research by exploring online food transactions as an emerging trend in China. Some optimization strategies for food quality, food safety and service quality are provided for enterprises involved in online food transactions.
Originality/value
This is a pioneering study revealing psychological contracts as a missing but significant mediator between consumer trust and its antecedents.
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Shiyi Wang, Abhijeet Ghadge and Emel Aktas
Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve…
Abstract
Purpose
Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA).
Design/methodology/approach
A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research.
Findings
The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation.
Originality/value
The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully.
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Thamaraiselvan Natarajan, Jayadevan Geetha Raveendran Nair and Jegan Jayapal
This study aims to experimentally investigate branded functional beverage (BFB) consumption behaviour post-COVID-19 through the lens of a conceptual framework built on three…
Abstract
Purpose
This study aims to experimentally investigate branded functional beverage (BFB) consumption behaviour post-COVID-19 through the lens of a conceptual framework built on three renowned behaviour modification models and to critically evaluate how well subjective norms serve as a moderator in the consumption behaviour relating to such beverage products.
Design/methodology/approach
A conceptual model was developed based on the tenets of the theory of planned behaviour (TPB), health belief model (HBM) and value-attitude-behaviour (VAB) model. The study was performed on a convenience sample of 537 respondents aged 18 and up from diverse regions in India using the PLS-SEM method. A total of 444 useable questionnaires were utilized for the final data analysis.
Findings
Given the post-pandemic setting, the perceived benefits of BFBs significantly influenced its purchase intention and consumption behaviour. It could grossly impact the media's role (information about COVID-19) and the consumers' interest in healthy food. The study revealed that the information about COVID-19 (role of media) strongly increased interest in healthy food, whereas interest in healthy food positively influenced purchase intention of functional beverages. With interest in healthy food as a “mediator”, the role of media (information about COVID-19) positively influenced purchase intention. It is worth noting the moderating role of subjective norms in the relationship between the role of media (information about COVID-19) and interest in healthy food and that between interest in healthy food and BFB purchase intention.
Practical implications
Food marketers shall skillfully use “opinion” leaders and subject experts in marketing communication campaigns to popularize the link between good food and immunity through COVID-19 and healthy diet-related messages sent via a suitable media platform. This would grab food consumers' interest in BFBs and persuade them to incorporate such items in their daily food milieu. Consumers need to be assured that consuming “functional” products would deliver health benefits and upkeep their body immunity in the post-COVID-19 times.
Originality/value
There has been minimal research on the link between perceived benefits, the role of media, interest in healthy food and consumption behaviour on functional beverages in the post-COVID-19 setting. Moreover, subjective norms have never been probed as a moderator in the consumer behaviour studies on BFBs. This pioneering study applied the tenets of the TPB, HBM and VAB model in the context of post-pandemic functional beverage consumption. The altered study settings caused by the COVID-19 pandemic and the context of a developing economy like India have amplified the research value of this study.
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Sakshi Vishnoi and Jinil Persis
Managing weeds and pests in cropland is one of the major concerns in agriculture that greatly affects the quantity and quality of the produce. While the success of preventing…
Abstract
Purpose
Managing weeds and pests in cropland is one of the major concerns in agriculture that greatly affects the quantity and quality of the produce. While the success of preventing potential weeds and pests is not guaranteed, early detection and diagnosis help manage them effectively to ensure crops’ growth and health
Design/methodology/approach
We propose a diagnostic framework for crop management with automatic weed and pest detection and identification in maize crops using residual neural networks. We train two models, one for weed detection with a labeled image dataset of maize and commonly occurring weed plants, and another for leaf disease detection using a labeled image dataset of healthy and infected maize leaves. The global and local explanations of image classification are obtained and presented
Findings
Weed and disease detection and identification can be accurately performed using deep-learning neural networks. Weed detection is accurate up to 97%, and disease detection up to 95% is made on average and the results are presented. Further, using this crop management system, we can detect the presence of weeds and pests in the maize crop early, and the annual yield of the maize crop can potentially increase by 90% theoretically with suitable control actions
Practical implications
The proposed diagnostic models can be further used on farms to monitor the health of maize crops. Images obtained from drones and robots can be fed to these models, which can then automatically detect and identify weed and disease attacks on maize farms. This offers early diagnosis, which enables necessary treatment and control of crops at the early stages without affecting the yield of the maize crop
Social implications
The proposed crop management framework allows treatment and control of weeds and pests only in the affected regions of the farms and hence minimizes the use of harmful pesticides and herbicides and their related health effects on consumers and farmers.
Originality/value
This study presents an integrated weed and disease diagnostic framework, which is scarcely reported in the literature
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Ahmet Tarık Usta and Mehmet Şahin Gök
The world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts…
Abstract
Purpose
The world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts and adapt to these new conditions. Technology is one of the most crucial components of this process, and this study focuses on examining climate change adaptation technologies. The aim of the study is to investigate the entire spectrum of technology actors and to concentrate on the technology citation network established from the past to the present, aiming to identify the core actors within this structure and provide a more comprehensive outlook.
Design/methodology/approach
The study explores patent citation relationships using social network analysis. It utilizes patent data published between 2000 and 2023 and registered by the US Patent and Trademark Office.
Findings
Study findings reveal that technologies related to greenhouse technologies in agriculture, technologies for combatting vector-borne diseases in the health sector, rainwater harvesting technologies for water management, and urban green infrastructure technologies for infrastructure systems emerge as the most suitable technologies for adaptation. For instance, greenhouse technologies hold significant potential for sustainable agricultural production and coping with the adverse effects of climate change. Additionally, ICTs establish intensive connections with nearly all other technologies, thus supporting our efforts in climate change adaptation. These technologies facilitate data collection, analysis, and management, contributing to a better understanding of the impacts of climate change.
Originality/value
Existing patent analysis methods often fall short in detailing the unique contributions of each technology within a technological network. This study addresses this deficiency by comprehensively examining and evaluating each technology within the network, thereby enabling us to better understand how these technologies interact with each other and contribute to the overall technological landscape.
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