Forecasting Delivery Pattern through Floating Car Data: Empirical Evidence

This paper investigates the opportunities offered by floating car data (FCD) to infer delivering activities. A discrete trip-chain order model (within the random utility theory) for light goods vehicles (laden weight less than 3.5 tons) is hence proposed, which characterizes delivery tours in terms of the number of stops/deliveries performed. Thus, the main goal of the study is to calibrate a discrete choice model to estimate the number of stops/deliveries per tour by using FCD, which can be incorporated in a planning procedure for obtaining a preliminary assessment of parking demand. The data used refer to light goods vehicles operating in the Veneto region. The database contains more than 8000 tours undertaken in 60 working days. Satisfactory results have been obtained in terms of tour estimation and model transferability.

Exploring the Ingredient Choices and Maximum Budget for Fresh Food Boxes in Taiwan

Fresh food boxes have been famous in many countries for providing convenience and supporting local production, while the convenient access of various market channels in Taiwan makes it difficult to develop. The COVID-19 events shed light on the opportunity to promote fresh food boxes. Due to the complexity of consumer preferences, it is important to investigate the market opportunity of fresh food boxes. A total of 748 valid survey data were collected throughout Taiwan from July to September in 2019. The analysis of variance and interval regression model with random utility theory was adopted to explore food product preferences and to elicit the maximum budget for the fresh food box. Results show that marrow vegetables, fruits, and meats are the major categories that must be included in the list of the fresh food box. The average maximum budget for a fresh food box is about TWD 702 (about USD 25), while the highest maximum budget can reach up to TWD 1202 (about USD 43) for some potential consumers. Although fresh food boxes have a market opportunity in Taiwan, the market potential may be more focused on those who have online market shopping experiences. Marketers would need more marketing strategies to enhance more potential shoppers to adopt the online purchase for fresh food boxes.

The shock of lockdown on the spending on wine in the Iberian market: the effects of procurement and consumption patterns

PurposeThis study aims to provide a better understanding of the behaviour of wine consumers in a completely new and unexpected setting, that is, a forced lockdown due to the COVID-19 pandemic. It seeks to explain consumer decisions and the probability of changes occurring in wine expenditure compared to a normal situation.Design/methodology/approachThe empirical analysis, conducted on a representative sample of Iberian consumers and based on the random utility theory, consists in the application of a multinomial logit model, setting the “usual” pattern of expenditure as a baseline category.FindingsThe results show that the coronavirus pandemic could have changed alcohol drinking habits. Consumers generally spent less on wine during the lockdown, maybe due to the uncertainty regarding their future income and professional situation. Those people more likely to spend more on wine were those who increased their wine consumption during the lockdown, those who drank for romantic purposes, those who purchased less wine in supermarkets but more online, those who used a wine app and those living in urban areas. The increased consumption of other alcoholic beverages also increases the probability of spending less than usual on wine. Additionally, the absence of certain reasons for drinking wine other than social purposes, such as wine and food pairing, its taste and relaxing effects, together with the previous consumption pattern leads to a decrease in the probability of spending less per bottle.Originality/valueThis paper makes a significant contribution to the understanding of the determinants of wine consumption in a very abnormal setting, an imposed lockdown and provides important policy implications. The findings show that managers and policymakers should pay attention to the different influence of variables related to behaviour and consumption patterns that may contribute to an increase in the demand for less expensive wines. Specifically, they should focus on new consumption patterns that may arise, adapting the supply chain and defining appropriate marketing strategies to fill new market segments.

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.

Self-Service Technologies (SSTs)—The Next Frontier in Service Excellence: Implications for Tourism Industry

This research aims to understand how self-service technologies (SSTs) can bring about service excellence for tourists by the moderated mediating effect of satisfaction and tourist types, from the customer’s perspective. The study draws on survey data from 627 tourists from North Cyprus, Turkey, Italy, United States, and Germany who had experience using SSTs during their travel period for either leisure or business. The utility theory, Lancaster’s consumer theory, and random utility theory form the basis of this research’s theoretical framework. This study is the first attempt that examines the SSTs’ characteristics as antecedents of service excellence from the customer point of view in tourism literature. Moreover, this research enhances knowledge by integrating the concept of service excellence and SSTs’ characteristics into the abovementioned theories. The results revealed that service excellence could be provided for customers through SSTs, which this service excellence drives through the characteristics of SSTs. The result of moderated mediation tests on the relationship between SSTs’ characteristics and service excellence revealed that tourist types moderate the mediating effect of SSTs satisfaction for functionality, enjoyment, security/privacy, convenience, and customization. Meaning the mentioned constructs are more influential for business travelers than leisure travelers. Limitations, practical and theoretical implications are also discussed.

Impact of Nutritional Information on Consumers’ Willingness to Pay for Meat Products in Traditional Wet Markets of Taiwan

The application of nutritional labels provides information regarding the health and nutritional value of products and allows consumers to engage in healthier dietary habits. However, not all types of retail markets provide full nutrition information for meat products. Since there is no nutritional information for fresh meat products in traditional wet markets, this study aimed to investigate consumer purchasing intention and willingness to pay (WTP) for this nutritional information in Taiwanese traditional wet markets. A total of 1420 valid respondents were examined using the random utility theory to explain consumer purchasing intention and WTP for nutritional information. Results showed that most (over 60%) consumers in traditional wet markets have positive purchasing intent for meat products with the nutrition information provided. Furthermore, the nutrition information in traditional wet markets significantly boosts consumers’ purchasing intention and WTP when consumers have a personal health awareness on meat, have proficient experience in buying meat, and continuously receive information from health-related media. Specifically, consumers’ shopping background and their level of health consciousness would be the key factors that would alter their WTP, if provided nutritional claims.

What can we learn from experience? An impact analysis of experience on households' preferences for microfinance

PurposeThis article examines the impact of experience on rural households' preferences for microfinance attributes, using household data from Sichuan province in China.Design/methodology/approachWe use the Bayesian updating method to account for the learning process involved in acquiring experience on microfinance. We then use the generalized multinomial logit model that accounts for both preference and scale heterogeneity to estimate the choice probabilities and impact of experience on preferences and willingness-to-pay (WTP) for microfinance.FindingsThe empirical findings show that experience with microfinance products or lending institutions helps households in their selections of microfinance institutions. In particular, experience with financial institutions increase the scale parameter and help respondents to feel assured about their choices, while experience with individual lenders have no such effects. The results also indicate that the willingness-to-pay estimates vary across experiences, with WTP for installment credit displaying the biggest change and the Bayesian updating making the changes even much larger.Originality/valueThis study contributes to the research gap by taking experience as a latent variable that influences personal specific tastes and as an integral part of total utility of rural households in their decision-making processes. We develop a conceptual framework that is based on McFadden's random utility theory and Bayesian inference.

Choice experiments in non-market value analysis: some methodological issues

PurposeThis paper reviews the current literature on theoretical and methodological issues in discrete choice experiments, which have been widely used in non-market value analysis, such as elicitation of residents' attitudes toward recreation or biodiversity conservation of forests.Design/methodology/approachWe review the literature, and attribute the possible biases in choice experiments to theoretical and empirical aspects. Particularly, we introduce regret minimization as an alternative to random utility theory and sheds light on incentive compatibility, status quo, attributes non-attendance, cognitive load, experimental design, survey methods, estimation strategies and other issues.FindingsThe practitioners should pay attention to many issues when carrying out choice experiments in order to avoid possible biases. Many alternatives in theoretical foundations, experimental designs, estimation strategies and even explanations should be taken into account in practice in order to obtain robust results.Originality/valueThe paper summarizes the recent developments in methodological and empirical issues of choice experiments and points out the pitfalls and future directions both theoretically and empirically.

What influences chronic pain management? A best–worst scaling experiment with final year medical students and general practitioners

Background: Chronic pain education is an essential determinant for optimal chronic pain management. Given that attitudes and preferences are involved in making treatment decisions, identifying which factors are most influential to final year medical students’ and general practitioners’ (GPs) chronic pain management choices is of importance. This study investigates Swedish and Australian students’ preferences with respect to a chronic pain condition, using a best–worst scaling (BWS) experiment, which is designed to rank alternatives. Methods: BWS, a stated-preference method grounded in random utility theory, was used to explore the importance of factors influencing chronic pain management. Results: All three cohorts considered the patients’ pain description and previous treatment experience as the most important factors in making treatment decisions, whereas their demographics and voices or facial expressions while describing their pain were considered least important. Factors such as social support, patient preferences and treatment adherence were, however, disregarded by all cohorts in favour of pain assessment factors such as pain ratings, description and history. Swedish medical students and GPs show very high correlation in their choices, although the GPs consider their professional experience as more important compared to the students. Conclusion: This study suggests that the relative importance of treatment factors is cemented early and thus underline the critical importance of improving pain curricula during undergraduate medical education.