Comparing stated and realized preferences for shade‐grown vs. conventionally grown coffee

We used both stated preference and revealed preference data to estimate willingness to pay (WTP) for shade‐grown coffee as compared with conventionally grown coffee. Stated preference data was collected using contingent valuation studies. Revealed preference data came from an experiment where all survey participants received a personally identifiable voucher redeemable for a free bakery item when the holder purchased a coffee. We compared estimates of mean and median WTP a price premium for shade‐grown coffee from stated preference data with similar estimates from revealed preference data. We used a logit model to evaluate the effect of explanatory variables (measures of environmental attitudes, personal norms for pro‐environmental behaviour and demographic variables) on respondents’ WTP a price premium for shade grown coffee. Model parameters were estimated using the maximum likelihood approach. Respondents with higher scores on measures of environmental attitudes and personal norms for pro‐environmental behaviour were, on average, willing to pay more for shade‐grown coffee. While this paper examined a specific case, purchase of shade‐grown coffee, our results confirmed that stated environmental concern was a good predictor of pro‐environmental behaviour. We found that mean and median WTP estimates from stated preference methods were higher, but not significantly different than mean and median WTP estimates from actual purchases, indicating convergent validity between stated and realized preference methods. The majority of individuals both stated WTP a price premium and purchased shade‐grown coffee at a price premium. We did, however notice some interesting behaviour at the individual level where stated preferences under‐predicted realized preferences at low price‐premia and over‐predicted realized preferences at high price premia.     

The relationship between cultural values and learning preference: the impact of acculturation experiences upon East Asians

Globalization and technology advancement are creating more biculturalism at workplaces and learning settings. However, little is known about acculturation experience and its influence on a person's cultural values and learning preference. The research reported in this study investigates the impact of acculturation experiences upon the relationship between cultural values and learning preference of 292 Far East Asians (from Confucian‐influenced societies) and Asian Americans. Different preferences for learning methods and different levels of traditional cultural values were found between these two groups of adult learners. Acculturation experience was identified as the influential factor for the differences. However, they all still retain their traditional cultural values in various degrees regardless of the length of time the individual had been exposed to the acculturation experience. The impact of cultural values on an adult's learning preference is an area of concern in cross‐cultural training and development.     

Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.     

Accommodating the effects of brand unfamiliarity in the multidimensional scaling of preference data

This paper presents a multidimensional scaling (MDS) methodology (vector model) for the spatial analysis of preference data that explicitly models the effects of unfamiliarity on evoked preferences. Our objective is to derive a joint space map of brand locations and consumer preference vectors that is free from potential distortion resulting from the analysis of preference data confounded with the effects of consumer-specific brand unfamiliarity. An application based on preference and familiarity ratings for ten luxury car models collected from 240 consumers who intended to buy a luxury car within a designated time frame is presented. The results are compared with those obtained from MDPREF, a popular metric vector MDS model used for the scaling of preference data. In particular, we find that the consumer preference vectors obtained from the proposed methodology are substantially different in orientation from those estimated by the MDPREF model. The implications of the methodology are discussed.The authors gratefully acknowledge helpful comments from the editor and two anonymous reviewers, and also from Michael D. Johnson and Robert J. Meyer. They also thank Michael Kusnick and Robert Kleinbaum for their assistance in conducting the survey.     

公平偏好与薪酬激励:基于保险代理业的研究

传统激励理论依据代理人为理性人的假设前提,不能很好地解决保险代理的薪酬激励问题。行为经济学研究认为行为人并非纯自利的,在考虑自身物质收益的同时还会关注收入的公平性。基于行为经济学中的公平偏好观点,构建考虑物质效用和动机公平的委托-代理模型,研究保险代理人存在公平偏好时的激励机制。结果表明公平偏好会改变激励契约结构形式和激励效率,"互惠"是解决代理人道德风险、促进保险市场健康发展的有利途径。     

Who spends more online? The influence of time,usage variety,and privacy concern on online spending

The paper tests the influence of adoption time, online time, usage variety, and privacy concern on online spending. Findings support the hypothesis that online time, adoption time, and usage variety, the three dimensions of Internet usage experience, have a positive and significant influence on the amount of money consumers spend online, and privacy concern has a negative and significant influence. The control variables included in the model are gender, age, education, and income. Gender, age, and education did not influence online spending. However, income has a significant effect on online spending. Theoretical and strategic implications and recommendations for future research are presented.     

Dazing Diversity: Investigating the Determinants and Consequences of Decision Paralysis

This article makes new contributions to the assessment of negative effects on consumer choice behavior due to high product variety by (1) developing a holistic framework to identify the determinants and, for the first time, consequences of decision paralysis; (2) introducing a novel construct, namely, tendencies toward paralysis, that refers to the extent of decision makers’ preference (a) to maintain the status quo, (b) to omit, and/or (c) to delay choice, as well as providing an appropriate measurement model incorporating these three dimensions of decision paralysis that previously have been analyzed only separately; and (3) analyzing potential moderating effects of decision makers’ predisposition toward maximizing on the proposed model. The developed structural equation model as well as the conceptualization and operationalization of the novel construct are verified using data from the German cellular phone market. The model constructs of preference uncertainty and anticipated regret are evidenced to be the fundamental drivers of the formation of tendencies toward paralysis. In this context, the characteristics of variety under consideration—number, alignability, and complexity of alternatives—turn out to be appropriate parameters in avoiding decision paralysis. Moreover, a significant negative relationship between tendencies toward paralysis and subsequent customer satisfaction points out the importance of these findings for future research and business practice.     

The Psychology of Intertemporal Discounting: Why are Distant Events Valued Differently from Proximal Ones?

Research in intertemporal choice has been done in a variety of contexts, yet there is a remarkable consensus that future outcomes are discounted (or undervalued) relative to immediate outcomes. In this paper, we (a) review some of the key findings in the literature, (b) critically examine and articulate implicit assumptions, (c) distinguish between intertemporal effects arising due to time preference versus those due to changes in utility as a function of time, and (d) identify issues and questions that we believe serve as avenues for future research.     

互惠性偏好下的供应链金融委托代理模型比较研究

供应链金融是近年来兴起的用于解决中小企业融资难问题的重要金融创新之一,但目前学术界的研究多以经典的委托代理模型为基准,忽略了供应链金融参与方之间存在着互惠性偏好的倾向。文章简要回顾了委托代理理论的发展脉络,结合行为经济学家Rabin提出的互惠性偏好理论,对委托代理模型进行了行为经济学层面的拓展,以当前流行的供应链金融中核心企业与协作企业委托代理关系为研究对象,比较分析了互惠性偏好引入前后各方的收益情况。文章首先构建了经典的Holmstorm和Milgrom模型,研究了核心企业和协作企业均为理性经济主体情形下的博弈收益情况;其次,通过将互惠性偏好引入到Holmstorm和Milgrom模型中,比较分析了各方收益的变化情况;再次,通过参数校准的方法,进行了具体的数值案例分析;最后对模型未来可能的发展方向进行了展望。研究结果表明：通过引入互惠性偏好,在一定的数学条件下,核心企业和协作企业之间的契约制度设计存在着帕累托改进的空间。     

Which Is the Better Option? Quicker or Cheaper?

Both time and money are valuable scarce resources, but their different characteristics lead to different perceived value in saving time and saving money. The perishability and fixed supply associated with time may enhance its value; however, its inherent nature, difficulty accounting for value of time, infungibility, and perceived slack may weaken its value. Drawing on theories and findings in the domains of temporal and monetary judgment, this research study posits that people usually underappreciate the value of time because the information pertinent to the value of time is less accessible in peoples’ memory compared with monetary value. Hence, prompting people regarding the value of time and the value of money could make their preference for saving time similar to that of saving money. Additionally, people typically expect more time slack than money in the future, thereby discounting their preference for saving time faster than for saving money. The results of a series of experiments support these hypotheses.     

Integrating Time-Preferences into E-Negotiation Systems: A Model,Elicitation Approach and Experimental Implications

Researchers have advocated that the acquisition of user preferences is important to the successful adoption of electronic negotiation systems. In this paper, we focus on one such preference, namely time preference, wherein the price of a good/service varies according to the delivery/consumption time. Time preference is a behavioral aspect that varies across buyers. We discuss how different types of preferences can be elicited, represented and integrated with electronic negotiations. We discuss three experiments to study the effect of time preferences on negotiation. The first is a preference elicitation experiment involving 36 subjects. The next two are agent-to-agent negotiation experiments, one based on the individual preferences obtained earlier and the other based on an expanded dataset on both individual preferences as well as negotiation parameters. The agent-based experiment compares outcomes and efficiencies between the standard exponential discounting model and two behavioral models of time preference. Our results bring out the preferences of subjects, as well as the extent to which negotiation is affected and enhanced by the incorporation of time-preferences.     

Diet Choice and the Role of Time Preference

Economic theory related to time preference and health may be useful as a means of understanding the predictors of diet choice. The willingness to subvert present for future utility is hypothesized to influence the process of sacrificing time, flavor, convenience, and price in order to choose a healthful diet. Empirical results confirm the unique importance of variables related to rate of future discounting versus variables associated with market or cultural factors.     

The influence of music tempo and musical preference on restaurant patrons' behavior

The article reports research into the effect of music tempo and musical preference on consumer behavior in a restaurant. The research investigates the extent to which these two variables influence actual and perceived time spent dining, the amount of money spent, and outcomes in terms of enjoyment of the experience and future behavioral intentions. The results show that music preference provided a better explanation of actual time spent dining than tempo, although neither variable had a significant effect on perceived time. Time spent in the restaurant was the most powerful predictor of money spent in the restaurant. Finally, the outcomes of the restaurant encounter were found to be significantly related to musical preference, but the effects of music tempo were nonsignificant. © 2002 Wiley Periodicals, Inc.     

A Fuzzy Multi-Criteria Decision Making Model for IS Student Group Project Assessment

To accommodate the criterion-referenced student group project assessment approach, this paper proposes a fuzzy group Multi-Criteria Decision Making (MCDM) model. The proposed model can be used to solve student group project assessment problem in particular and generic MCDM problems in general, where the criteria used are often different and can be scored with multiple preference formats. The proposed fuzzy group MCDM model supports seven different preference formats, including preference ordering, utility vector, linguistic term vector, selected subset, fuzzy selected subset, fuzzy preference relation, and normal preference relation. It has been firstly used in the context of Information Systems (IS) student group project assessment.     

Intermediate inputs,external rebalancing and relative price adjustment

The traditional multi-sector macro model without production inputs is a value-added trade model. This paper shows that calibrating such a misspecified value-added trade model to available gross-flow trade data – a common practice in the literature – can lead to mismeasured (i) preference weights and (ii) price elasticities. Further, the calibrated model can give substantially different predictions regarding the relative price response to external rebalancing, when compared to a preferred alternative model with inputs that is consistent with gross-flow trade data. We find that mismeasured preference weights and price elasticities both contribute sizably to deviations in model predictions and estimate correctly-measured parameters for the value-added trade model.     

The gambling preference and stock price: Evidence from China's stock market

Considering the strong gambling preference of retail investors in emerging markets and using the data of Chinese A-share listed companies from 2000 to 2018, this paper constructs an index of investor's gambling preference based on the theory of explicit preference and develops a factor model to capture the risk premium of gambling by introducing gambling factors. The results show that the factor model not only fits the gambling characteristics of the Chinese stock market well but also has strong explanatory power for common market anomalies. Through the index of capital gains over-hang (Wang et al., 2016), this paper further finds that facing different degrees of losses, investors will show different gambling preferences. The factor model also shows stronger explanatory power in the sample with more losses, revealing the investment characteristics of retail investors that the more you gamble and the more you lose. This study would be meaningful for exploring behavioral pricing factors, understanding emerging stock markets and supporting investment practice.     

Intermediate inputs,external rebalancing and relative price adjustment

The traditional multi-sector macro model without production inputs is a value-added trade model. This paper shows that calibrating such a misspecified value-added trade model to available gross-flow trade data – a common practice in the literature – can lead to mismeasured (i) preference weights and (ii) price elasticities. Further, the calibrated model can give substantially different predictions regarding the relative price response to external rebalancing, when compared to a preferred alternative model with inputs that is consistent with gross-flow trade data. We find that mismeasured preference weights and price elasticities both contribute sizably to deviations in model predictions and estimate correctly-measured parameters for the value-added trade model.     

Beyond conjoint analysis: Advances in preference measurement

We identify gaps and propose several directions for future research in preference measurement. We structure our argument around a framework that views preference measurement as comprising three interrelated components: (1) the problem that the study is ultimately intended to address; (2) the design of the preference measurement task and the data collection approach; (3) the specification and estimation of a preference model, and the conversion into action. Conjoint analysis is only one special case within this framework. We summarize cutting edge research and identify fruitful directions for future investigations pertaining to the framework’s three components and to their integration.     

The Impact of Price Disclosure on Dynamic Shopping Decisions

A potentially powerful way to assist consumers in making dynamic shopping decisions is to disclose price information to them before they shop, for example by posting prices on the Internet. This paper addresses the differential impact of disclosing either only current, or both current and future prices, on consumer shopping decisions in multi-period tasks involving multiple product purchases. In the context of an Internet-based experiment, we find that consumer expenditure deviates more strongly from that of a normative model when both current and future prices are disclosed than if only current prices are disclosed. We investigate the behavioral effects underlying this finding by estimating a model that allows for variations in consumer discounting, strength of store price format preferences, as well as choice consistency between different price disclosure conditions.     

Allocation and productivity of time in new ventures of female and male entrepreneurs

This paper investigates time allocation decisions in new ventures of female and male entrepreneurs using a model that distinguishes between effects of preferences and productivity on the number of working hours. Using data of 1,158 entrepreneurs we find that the preference for work time in new ventures relates to start-up motivation, propensity to take risk and availability of other income. Productivity of work time relates to human, financial and social capital endowments and the prevalence of outsourcing activities. This study also evaluates actual profit effects 1 year after start-up. We find that on average women invest less time in the business than men. This can be attributed to both a lower preference for work time (driven by risk aversion and availability of other income) and a lower productivity per hour worked (due to lower endowments of human, social and financial capital).