Consumer Preferences for Information on Taiwan’s Pork Traceability System

Consumer Attitudes and Purchase Intentions in Relation to Animal Welfare-Friendly Products: Evidence from Taiwan

Animal welfare, environmental sustainability, and food safety have become topics of international concern. With the rise of friendly rearing and green consumption consciousness, consumers can use animal welfare certification labels as references to make purchase decisions. This study adopts the theory of planned behavior (TPB) as its core and incorporates variables, such as moral affection, health consciousness, and trust in certification, to discuss the thoughts of Taiwanese consumers on buying animal welfare-friendly products and the factors that affect their purchase decisions. This study will be conducive in clarifying the consumption behavioral pattern of animal welfare-friendly products, which previous literature has mentioned but not tested, thereby filling this literature gap. This study collects 653 valid questionnaires and uses the partial least square-structural equation modeling to analyze the correlations between various variables. The research findings indicate the following. (1) Consumers' attitudes, subjective norms, and perceived behavioral control have significant and positive influences on the behavioral intention of purchasing fresh milk with animal welfare labels. (2) Moral affection positively influences customers' behavioral intention toward fresh milk with an animal welfare label through attitudes, subjective norms, and perceived behavioral control. (3) Trust in certifications will enhance moral cognition and positive attitudes toward fresh milk with animal welfare labels. According to the research findings of this study, we recommend that businesses strengthen the promotion of dairy products in line with friendly rearing, environmental sustainability, and other ethical consumption concepts to generate market segregation elements.

Assessing Australian consumer preferences for fresh pork meat attributes: A best-worst approach on 46 attributes

Constant competition and changing consumer preferences prompts the need to improve the competitiveness of the Australian pork industry. This study examines the heterogeneity of Australian consumer preferences related to fresh pork cues. Using best-worst scaling, we examine the importance of 15 intrinsic and 31 extrinsic product attributes to 196 Australian consumers. Findings reveal that taste, succulence and the smell of boar taint were the most important intrinsic cues, while animal welfare and naturalness were the most important extrinsic cues. Based on the importance of intrinsic cues, four segments were identified, namely boar taint haters, lean meat eaters, colour lovers and cuts and size matters. Four segments based on extrinsic cues were identified as animal and environment lovers, naturalness lovers, demanding buyers and utilitarian buyers. This study contributes significantly to the industry by offering granular insights with respect to Australian consumer demands and optimal communication of cues.

Meat Traceability: Traditional Market Shoppers' Preferences and Willingness-to-Pay for Additional Information in Taiwan

Due to food scandals that shocked the retailer markets, traceability systems were advocated to regain consumers' confidence and trust. However, while traceability systems can be more easily explored in modern markets, almost no traceability system can be found in traditional markets in Taiwan, especially when buying meat products. This study explored the preference and the willingness-to-pay (WTP) for traceability information of pork products in traditional markets in Taiwan. The random utility theory (RUT) with the contingent valuation method (CVM) was adopted to examine the total of 1420 valid responses in Taiwan. Results show that 80% of traditional market consumers are willing to pay more for traceability information of pork products. Specifically, when consumers (1) know the market price of pork, (2) do not often buy food in the traditional market, (3) live in south or north regions of Taiwan, (4) have a flexible buying schedule, (5) are aware of food safety due to frequently accessing health-related content through media, or (6) think pork grading is very important, they would tend to choose meat products with traceability information. The implication of this study suggests that there is an urgent desire for food safety labeling and traceability information system in traditional markets in Taiwan. Especially, those who usually shop in the higher-price markets are willing to pay the most for this traceability information.

Consumers use of quality cues for meat purchase: Research trends and future pathways

This paper aims to explore the trends in the research design used for assessing important quality cues in the meat industry and determine the most important quality cues that consumers use in their purchasing decisions. A Journal Article Network Analysis and non-parametric comparative analyses were used to collate the studies and analyse their findings respectively. Results indicate a predominate use of point-of-purchase surveys to collect data and consumers' stated preference to evaluate the important quality cues. At an aggregated analytical level, the five most important quality cues (country of origin, food safety certification, price, production system and quality certification labels) are extrinsic and relate to credence attributes. However, different rankings of important quality cues are obtained at a disaggregated analytical level based on meat type. The paper proposes that exploring the interconnection between meat quality cues and how they influence consumers in different market segments based on the value proposition of the retailer as a foreseeable future research pathway.

A study on Chinese consumer preferences for food traceability information using best-worst scaling

Food safety is a global public health issue, which often arises from asymmetric information between consumers and suppliers. With the development of information technology in human life, building a food traceability information sharing platform is viewed as one of the best ways to overcome the trust crisis and resolve the problem of information asymmetry in China. However, among the myriad information available from the food supply chain, there is a lack of knowledge on consumer preference. Based on the best-worst scaling approach, this paper investigated consumer preferences for vegetable, pork, and dairy product traceability information. Specifically, this paper measured the relative importance that consumers place on the traceable information. The results indicate that consumers have varying priorities for information in different cases. “Pesticide/veterinary use,” “picking/slaughtering date,” and “fertilizer/feed use” are the most preferred traceable information for Chinese consumers in the case of vegetables, while “picking/slaughtering date” and “history of illness and taking protective measures” are the most preferred information in the case of pork. In the case of dairy products, consumers prefer “processing information,” “environmental information of the origin,” and “traceable tag certification information” most. The results of this study call for the direct involvement of the Chinese government in the food safety information sharing system as following. First, given consumers’ diverse preferences, different types of traceable information should be recorded into the information sharing platform depending on food types. Second, the government could promote the step-by-step construction of such a platform based on the priority of consumers’ preferences. Third, new technology should be applied to guarantee the reliability of traceable information. Finally, local preferences in terms of the way consumers receive and understand information should be taken into consideration.

Optimal Design of an Olive Oil Mill by Means of the Simulation of a Petri Net Model

Global concurrence is a topic that affects many companies in most sectors of the economy. In particular, the improvement in the manufacturing, packing, storage, and transportation of food has allowed farming companies from all over the world to compete for customers of a global market. In order to achieve success in this complex environment, it is convenient for the companies to be efficient even before the beginning of their business activity. This paper presents a decision support methodology for improving the design and management of an olive oil manufacturing facility based on the development of a Petri net model of the system, the simulation of its behaviour under a selected set of alternative configurations, and the choice of the most promising one by means of an optimization algorithm.