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Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these backgrounds, this study aims to identify the knowledge, knowledge management (KM) processes and knowledge management system (KMS) priority needs for quarantine fish and other fishery products measures (QMFFP) and then develop a classification model and web-based decision support system (DSS) for QMFFP decisions.

This research methodology uses combination approaches, namely, contingency factor analysis (CFA), the cross-industry standard process for data mining (CRISP-DM) and knowledge management system development life cycle (KMSDLC). The CFA for KM solution design is performed by identifying KM processes and KMS priorities. The CRISP-DM for decision classification model is done by using a decision tree algorithm. The KMSDLC is used to develop a web-based DSS.

The highest priority requirements of KM technology for QMFFP are data mining and DSS with predictive features. The main finding of this study is to show that web-based DSS (functions and outputs) can support and accelerate QMFFP decisions by regulations and field practice needs. The DSS was developed using the CTree algorithm model, which has six main attributes and eight rules.

This study proposes a novel comprehensive framework for developing DSS (combination of CFA, CRISP-DM and KMSDLC), a novel classification model resulting from comparing two decision tree algorithms and a novel web-based DSS for QMFFP.

The review of food consumption elsewhere in this issue shows the broad pattern of food supplies in this country; what and how much we eat. Dietary habits are different to what they were before the last War, but there have been few real changes since the end of that War. Because of supplies and prices, shifts within commodity groups have occurred, e.g. carcase meat, bread, milk, but overall, the range of foods commonly eaten has remained stable. The rise of “convenience foods” in the twenty‐five year since the War is seen as a change in household needs and the increasing employment of women in industry and commerce, rather than a change in foods eaten or in consumer preference. Supplies available for consumption have remained fairly steady throughout the period, but if the main food sources, energy and nutrient content of the diet have not changed, changes in detail have begun to appear and the broad pattern of food is not quite so markedly stable as of yore.

This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products under the conditions: (1) fully back ordered (lockdown) and (2) partial back ordered (normal geographical market). In both the cases, due to the deterioration nature and in quarantine situation some vendors are not able to satisfy the customers (retailers). So in this model, the cost of penalty is introduced in quarantine time to obtain the optimal total cost.

To find the total cost, holding cost, shortage cost and deterioration cost have to be considered. There are so many disadvantages in holding the deteriorating food products. Due to the demand and deterioration, the holding cost of the fish products is determined. The supply chain of fish marketing process to find the optimum total cost and optimum back ordered quantity in the two situations, namely, (1) normal backordering and (2) Quarantine period is explained.

The conclusion of this research is exhibited for the uncertain lockdown situation and the normal geographical markets. But in both the cases, the demand function is dependent on the backorder quantity. The expected total cost of the retailers of fish products increased at the least possible range with the increase in the shortage parameter, cost of penalty and variance. But the change in mean value leads to decreasing in the back ordered quantity, inventory level and the annual total cost of the retailers. This analysis contributes to the service of supply chain from wholesaler to retailer in high level.

Fish products are very essential for nourishment and economic spread in India. This study has spotlight the efficient method for reducing the total cost of the retailers of fish marketing. The cost of deterioration of fish is high because of its perishable nature. Due to lockdown situation, the holding cost of the fish products depends upon the backordered quantity of geographical market of fish.

This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products under the conditions: (1) fully back ordered (lockdown) and (2) partial back ordered (normal geographical market).

Due to lockdown situation, the holding cost of the fish products depends upon the backordered quantity of geographical market of fish. This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products.

This research formulated to obtain the optimum ordered quantity and optimum inventory range of fish products under the conditions: (1) fully back ordered (lockdown) and (2) partial back ordered (normal geographical market). In both the cases, due to the deterioration nature and in quarantine situation some vendors are not able to satisfy the customers (retailers). So in this model, the cost of penalty is introduced in quarantine time to obtain the optimal total cost. A few number of sensitivity analysis are carried out for deterioration rate, shortage parameter and cost of penalty to indicate the existence of total cost in the least possible range.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

While the literature has highlighted the impacts of COVID-19, there is limited evidence on the gendered determinants of the impact of COVID-19 among small-scale rural traders in developing and emerging economies.

Cross-border fish traders who had operated before and during the COVID-19 pandemic were interviewed in a survey conducted in Zambia and Malawi. Logistic regressions among male and female traders were employed to assess the gendered predictors.

Heterogeneous effects in geographical location, skills, and knowledge were reported among male cross-border traders. Effects of household structure and composition significantly influenced the impact of COVID-19 among female traders. Surprisingly, membership in trade associations was associated with the high impact of COVID-19.

Due to the COVID-19 pandemic and the migratory nature of cross-border fish traders, the population of cross-border fish traders at the time of the study was unknown and difficult to establish, cross-border fish traders (CBFT) at the landing sites and market areas were targeted for the survey without bias.

This paper addresses a gap in the literature on understanding gendered predictors of the impacts of COVID-19 among small-scale cross-border traders.

This research aims to understand the behaviour of food consumption and waste in Peruvian households at the beginning of the COVID-19 pandemic.

Exploratory research was carried out with Peruvian households, using a descriptive method design. Data were analysed using descriptive and multivariate statistics. A self-administered questionnaire of 60 questions was used, applied by social networks in May 2020, obtaining 418 valid questionnaires.

The main findings allow the identification of a behaviour aiming the avoidance of waste and purchasing with a cost–benefit orientation, which is followed by purchase planning, knowledge and use of information on labels, food storage and cooking skills.

For companies in the food sector, relevant information is provided on consumer behaviour. For policymakers, elements are provided for the promotion of responsible consumption and zero waste. For the academy, an explanation is provided of how and in what way crises influence the behaviour of food consumption and waste.

Environmental-friendly and responsible consumption behaviour need to be supported, as well as to make consumers aware of the costs of food waste. These measures could be fostered by collective action that includes different actors – from civil society, the private and public sectors – and contribute to a sustainable solution, focused on improving consumption patterns and food waste.

The novelty of this research is based on exploring the understanding of the existing relation among food consumer behaviour, in a context of crisis, towards food waste prevention and avoidance, cost–benefit orientation and the knowledge about labelling, storage and handling.

The rapid transition from a command to market‐based economy in China has required the development of a food safety system for aquatic products where one did not previously exist. The pace of change has meant that food safety systems have struggled to keep up. In 2007 food safety incidents damaged the reputation of aquatic products in export markets. The Chinese Government has moved quickly to strengthen the safety regime for aquatic products. The purpose of this paper is to assess these initiatives in the context of their potential to regain international acceptance of Chinese aquatic products.

A regulatory assessment approach is used.

The findings are that increased government oversight alone is not likely to lead to a fully effective food safety system for aquatic products. The development of private sector‐based incentives to encourage investment in food safety is an essential co‐requisite to increased government oversight if China's access to international markets is to be assured.

The value of this study lies in the light it sheds on the efforts of a major player in the international market for aquatic products to improve the efficacy of its food safety system. China's regulatory regimes are often opaque, limiting the ability of those wishing to assess the advisability of importing food products from China.

During the Coronavirus Disease 2019 (COVID-19) pandemic, some changes in dietary intake were observed. However, the determinants of food choice and adherence to the Mediterranean diet (MD) in this period were not studied so far for Iranian adults. This study aimed to assess the food choice determinants changes and Adherence to the MD of Iranian adults.

This study was a cross-sectional study that was conducted from April 2019 to May 2020, based on the snowball sampling, and a total number of 2,540 adults from all the regions of Iran participated. The Food Choice Questionnaire was used to analyze food choice determinants, and the validated ten-item MD adherence screener was used to assess the adherence to the MD.

Before the COVID-19 quarantine, sensory appeal and price were the most important factors in Iranian food choice (with the highest scores), but during the COVID-19 pandemic the important food choice determinants were health and weight control. Consumption of vegetables (71.85% vs 40.07%), fruits (60.70% vs 38.74%), legumes (24.72% vs 12.38%) and nuts (14.33%) increased significantly after the outbreak of quarantine.

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM) component as knowledge management system (KMS) implementation. This background causes academic institutions to face challenges in developing KMS to support scholarly publication cycle (SPC). Therefore, this study aims to develop a new KMS conceptual model, Identify critical components and provide research gap opportunities for future KM studies on SPC.

This study used a systematic literature review (SLR) method with the procedure from Kitchenham et al. Then, the SLR results are compiled into a conceptual model design based on a framework on KM foundations and KM solutions. Finally, the model design was validated through interviews with related field experts.

The KMS for SPC focuses on the discovery, sharing and application of knowledge. The majority of KMS use recommendation systems technology with content-based filtering and collaborative filtering personalization approaches. The characteristics data used in KMS for SPC are structured and unstructured. Metadata and article abstracts are considered sufficiently representative of the entire article content to be used as a search tool and can provide recommendations. The KMS model for SPC has layers of KM infrastructure, processes, systems, strategies, outputs and outcomes.

This study has limitations in discussing tacit knowledge. In contrast, tacit knowledge for SPC is essential for scientific publication performance. The tacit knowledge includes experience in searching, writing, submitting, publishing and disseminating scientific publications. Tacit knowledge plays a vital role in the development of knowledge sharing system (KSS) and KCS. Therefore, KSS and KCS for SPC are still very challenging to be researched in the future. KMS opportunities that might be developed further are lessons learned databases and interactive forums that capture tacit knowledge about SPC. Future work potential could identify other types of KMS in academia and focus more on SPC.

This study proposes a novel comprehensive KMS model to support scientific publication performance. This model has a critical path as a KMS implementation solution for SPC. This model proposes and recommends appropriate components for SPC requirements (KM processes, technology, methods/techniques and data). This study also proposes novel research gaps as KMS research opportunities for SPC in the future.