subjective knowledge
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Apple preferences of US consumers are widely explored. However, the key factors that drive the importance that US consumers place on apple attributes are rather unexplored. To fill this literature gap, an online survey with 383 US apple buyers was conducted. A two-step analysis consisting of descriptive statistics and partial least squares structural equation modelling indicates that subjective knowledge was the most important factor, determining both the discernment of buyers and attitudes towards US fruit growers. Objective knowledge and sociodemographic factors, other than education, were not found to have any impact. The discernment of a buyer and their ability to distinguish apple varieties had the greatest impact on the importance that US consumers placed on physical and commercial product attributes. It was also found that attitudes towards growers impacted on the importance which consumers place on both types of attributes. Given that consumer attitudes were shown to be a strong driver of their buying preferences, growers and grower associations should also consider highlighting the positive health and societal benefits that their products provide.

PurposeWhile research shows that organic labels are perceived positively for most food products, the findings are more ambiguous for wine. This may be due to the complexity of the product. Accordingly, the labelling effect might be influenced by people's prior knowledge of wines and their attitudes towards organic wines and thus be more pronounced for certain consumer groups. Providing insights into those moderators could help to steer people towards sustainable wine consumption. Therefore, this paper aims to investigate the effect of organic labelling on consumers' liking of, and their willingness to pay (WTP) for white wine, and the role of potential moderators.Design/methodology/approachA wine tasting experiment was conducted using a within-subjects design (n = 214). The mediating role of expected liking and the moderating roles of subjective knowledge and attitude towards organic wine were analysed using the MEMORE macro in SPSS.FindingsThe results do not confirm an overall positive halo effect of labelling on liking of organic wine. Nevertheless, a positive halo effect on actual liking was observed for those respondents who have a positive attitude towards organic wine. Furthermore, an overall positive effect of organic labelling on WTP was found. Mediation effects could not be confirmed.Originality/valueThis study used an experimental design that considers not only expected liking but also actual liking and WTP for organic wines. Using a moderation-mediation framework helps to better understand consumers' quality evaluation and WTP for organic wine. Finally, it could be shown that the organic halo is more complex for the product category of wine than others have previously stated.

This study provides insights for managers in the food retail sector, the horticultural industry, actors involved in community gardening and farmers’ markets. It proposes a model that investigates key factors determining US consumer preferences for growing fruit over buying it in pre-Covidian and Covidian times. For this purpose, an online survey with a sample of 383 US residents was conducted. Partial least squares structural equation modelling shows that subjective knowledge about fruit and the perceived impact of COVID-19 are the most important drivers of preferences for growing over buying in Covidian times. The impact of COVID-19 had no relevance for the pre-Covidian times. For both scenarios, only age and gender as socio-demographic factors were found to influence subjective knowledge and the perceived impact of COVID-19. Other sociodemographic factors were not found to have any impact.

Objective: This research attempts to explore systematically factors that influence public reactions during COVID-19 pandemic, including different measures of risk perceptions, public trust in different levels of governments, and attention to news.Methods: This research uses a national stratified random sample of Chinese population and multiple linear regressions to explore the potential predictors of public reactions to coronavirus disease-2019 (COVID-19).Results: This research found that the effects of attentions to news, provincial experience, trust in government, demographics, and political cultures on risk perceptions depend on measures of risk perceptions, risk judgments vs. cognitive vs. affective risk perceptions. Moreover, the effect of culture on trust in government is consistent across different levels of government, trust in local, provincial, and central governments; living in the epicenter of COVID-19 in China decreases trust in local/provincial government but not trust in central government; public attention to news can bring both positive (trust in government) and negative (negative affect) outcomes. Finally, it confirmed positive associations among risk perception, subjective knowledge, and attention to news.Conclusion: The findings suggest challenges for risk communication.

The study provides insights for marketing managers in specialized pet supplies retailers, as well as for vets and animal welfare organizations. This study proposes a model that investigates the importance pet owners place on convenience, natural ingredients, and value and health claims as product attributes. For this purpose, an online survey with a sample size of 206 pet-owning US residents was conducted. Partial least squares structural equation modelling shows that pet food purchase involvement positively impacts subjective and objective knowledge about pet food. Subjective knowledge appears to be the strongest factor impacting the importance consumers place on all three attributes. This is followed by objective knowledge. Socio-demographic factors such as gender, age, income, and education appear to have a limited impact as predictors for the importance consumers place on the product attributes.

Expert system is a methodology to adapt algorithm of successful decisions in one sphere of scientific and practical activity into another. Widespread information technology is an identical intelligent computer program that contains the knowledge and analytical skills of one or more experts in the field of application and is able to draw logical conclusions based on this knowledge, thereby solving specific problems in designing the process equipment without the presence of an expert (a specialist in a specific problem area). The expert system allows to solve problems in a narrow subject area. The modern realities of introduced automated production do not provide a quality result, because all design decisions are made on the basis of subjective knowledge and intuitive feelings. One way to solve this problem is to develop formalized human-machine design methods in the early stages of creating a project of process equipment. This study describes the process of developing an expert system, which is aimed at solving problems of product modeling, optimization synthesis of the process operation structure and layout of the process machine. In the study, the author identifies the stages of process equipment designing, identifies the components of the expert system, and describes the procedural model of the design process. The result of the paper is the developed structure of software and information support of the automated information system for the design of process equipment. The developed system will speed up the decision-making process in the design of process equipment and receive competent advice. The expert system will serve as a basis for the introduction of intelligent production and smart consumption, which confidently goes hand in hand with the Fourth Industrial Revolution

Purpose This paper aims to propose a policy prioritization framework in view of a layered scenario building along with key stakeholder analysis and has been applied in a case study to determine the priority of Iran environmental policies at the horizon of 2030. A creative framework that covers future scenarios and allows for a more accurate and intelligent policy assessment and prioritization. Design/methodology/approach The general environmental policies of the Islamic Republic of Iran are evaluated, and observation policies in social area were identified. Causal layered analysis (CLA) is applied for policy prioritization based on layered probable scenarios and key stakeholder role consideration. The Multiple-criteria decision-making (MCDM) is also used for ranking General Environmental Policies by the technique for order of preference by similarity to ideal solution (TOPSIS). Findings Four uncertainties were obtained in different layers based on the CLA analysis, resulting in the creation of four main scenario and 16 discrete scenarios. Finally, Iran’s environmental policies were prioritized given the probable scenarios and the centralized policies on the social and political domains. The proposed model will be effective in policy-making in multilateral atmosphere to prioritize policies and alternative macro-strategies. Originality/value This paper shows that foresight and especially developed scenarios provide intelligent, efficient and effective planning and policy-making, and in addition to illustrating surrounding changes and probable future imagery, it generates common understanding and inter-subjective knowledge by increasing participation of various officials and stakeholders.

Chemicals associated with health problems can migrate from packaging into food matrices. Therefore, consumers need to be aware of health concerns associated with incorrectly used plastic food packaging. However, little is known about consumers’ knowledge and their plastics usage practices. This study assessed this knowledge and practices among young South African adult consumers. Our online survey of 293 participants focused on their objective (actual) and subjective (self-perceived) knowledge about plastic food packaging care and safety, their utilization practices, and their sources of information about safe use of plastics. Participants’ utilization practices showed broad misuse. Their subjective knowledge about the correct use of plastic packaging was in most respects contradicted by their limited objective knowledge. We found that plastic identification codes on packaging largely failed in their informative purpose; instead, participants mainly consulted informal information sources about plastics. The knowledge gaps, unsafe plastic use practices, and information source deficiencies identified here can help to guide future improvements. We call for consumer education, across all demographics, about plastic utilization practices and associated health concerns about plastic chemicals. We also highlight the need for the government, food and plastics industries to join forces in ensuring that consumers are informed about safe plastic packaging usage.