Context and Task Effects on Choice Deferral

This article reviews recent research that has examined consumer decision making when the option of not choosing any of the alternatives is provided. The attractiveness of the decision outcomes and the difficulty of choosing are posited to be two key factors that determine the preference for a no-choice option. Building on the notion that preferences are often constructed, it is proposed that task and contextual variables can alter how the choice situation is evaluated on the two factors and consequently choice incidence. Several experiments that explore and manipulate decision attractiveness and decision difficulty are reviewed, and areas for future research are suggested. We conclude with a discussion of the implications of these results for research on consumer choice.     

A Cross-Validity Comparison of Conjoint Analysis and Choice Models at Different Levels of Aggregation

Several (ratings-based) conjoint analysis and experimental choice (choice-based conjoint) models are compared on their ability to predict both aggregate choice shares among the sample and individual choices in an availability validation task. While there was a weak relationship between validations at the individual and aggregate levels, several models stand out. In general, models capturing individual differences validated well at both the individual and aggregate level. The hierarchical Bayes choice and conjoint models validated particularly well.Among choice models, the hierarchical Bayes choice model had the highest aggregate and individual level-validations. It was followed by the hybrid and seven segment latent segment choice models. Overall, the highest validating ratings-based conjoint model was the hierarchical Bayes model. However, the seven segment latent segment conjoint model produced better aggregate choice share validations than any other conjoint model. These results indicate that validations can be improved either by using benefit segment models and/or merging different types of data to estimate more individualized models.In most cases, rescaling improved the ratings-based, but not the choice-based choice share validations. This suggests that one might adjust for differences between ratings and choice tasks before making choice share predictions.     

初次分配效率与公平的政策组合与效用选择

按照对效率与公平偏好的不同,初次分配效率与公平的政策组合有四种类型:“轻效率,轻公平”型;“轻效率,重公平”型;“重效率,轻公平”型;“重效率,重公平”型.不同社会发展阶段收入分配政策的制定实际上是对这四种政策组合的选择,以选择能带来最大化效用的分配制度.用分粥模型形象地对效率与公平的各种政策组合进行模拟,并根据收入分配效用函数对效率与公平政策组合的效用选择状况进行分析,结果表明,在初次分配“重效率”目标不变的前提下,消除收入分配不公平、减少贫富差距的关键在于同时建立初次分配“重公平”的机制.     

选择与选择成本——品牌降低选择成本的机制分析

本文通过对选择爆炸式增长的描述,抽象出一般选择过程模型,并深入分析这一过程中所发生的成本及构成,证明品牌正是通过降低消费者的选择成本提高了选择效率,而企业外部顾客的选择效率决定了处于过剩阶段企业的内部价值的实现和内部效率的高低。本文区分了交易费用与选择成本的差别,进一步深化了对"品牌经济学"分析范式的核心范畴——选择成本的认识。     

基于时间约束的消费者选择理论与模型研究

本文运用效用理论与消费者行为理论,在经典模型基础上加入时间约束参数,从而放宽消费行为不需要时间这一假设,从消费者的商品边际效用和时间边际效用方面对消费者选择的理性行为进行研究,并从工资率的变化出发,对均衡条件进行比较静态分析。基于时间约束条件的分析表明：消费者实现效用最大化时应使花费在各种消费品及休闲上的最后每一元钱所获得的边际效用相等;替代效应的正负取决于商品的相对时间密度,当某商品的时间密度与其他商品相比较小时,替代效应为正,反之为负;工资率收入效应的正负取决于商品的性质,正常品和高档品对应的工资率收入效应为正,低档品对应的工资率收入效应为负。     

Generalized Reverse Discrete Choice Models

Marketing practitioners and academics have shown a keen interest in the processes that drive consumers’ choices since the early work of Guadagni and Little (1982). Over the past decade or so, a number of alternative models have been proposed, implemented and analyzed. The common behavioral assumption that underlines these models of discrete choice is random utility maximization (RUM). The RUM assumption, in its simplest form, posits that a consumer with a finite set of brands to choose from chooses the brand that gives her the maximum amount of utility. An alternative approach would be to assume that consumers choose the alternative that offers them the least disutility. Our paper proposes and tests a broad class of generalized extreme value models based on this hypothesis. We model the decision process of the consumer the assumption random disutility minimization (RDM) and derive a new class of discrete choice models based on this assumption. Our findings reveal that there are significant theoretical and econometric differences between the discrete choice models derived from a RUM framework and the RDM framework proposed in this paper. On the theoretical front we find that the class of discrete choice models based on the assumption of disutility minimization is structurally different from the models in the literature. Further, the models in this class are available in closed form and exhibit the same flexibility as the GEV models proposed by McFadden (1978). In fact, the number of parameters are identical to and have the same interpretation as those obtained via RUM based GEV models. In addition to the theoretical differences we also uncover significant empirical insights. With the computing effort and time for both models being roughly the same this new set of models offers marketing academics and researchers a viable new tool with which to investigate discrete choice behavior.JEL Classification: C25, C35, M37, D12     

Consumer Preferences Toward Product Attributes of Dietary Supplements Under Mandatory Food Traceability Systems in Korea

Korea, mandatory Food Traceability System (FTS) regulation on dietary supplements has been enforced since the end of 2014, which has allowed government to collect electronic data to trace food. The aim of this study was to determine which additional attributes of dietary food supplements are preferred by consumers and to assess the value of consumers’ willingness to pay (WTP) for these attributes. This investigation revealed that gender, age, income, and awareness were the most frequently reported drivers of purchase behavior. Gender was the most influential socioeconomic characteristic. The results of the conditional and random parameter logit model suggested that Korean consumers have the highest WTP for origin of all ingredients, followed by side-effect warnings, quality-related certifications, and date of import. It will be worthwhile to identify the value of relevant attributes once other nations establish FTS policies and improve food traceability services or regulations.     

Statistical Analysis of Choice Experiments and Surveys

Measures of households' past behavior, their expectations with respect to future events and contingencies, and their intentions with respect to future behavior are frequently collected using household surveys. These questions are conceptually difficult. Answering them requires elaborate cognitive and social processes, and often respondents report only their “best” guesses and/or estimates, using more or less sophisticated heuristics. A large body of literature in psychology and survey research shows that as a result, responses to such questions may be severely biased. In this paper, (1) we describe some of the problems that are typically encountered, (2) provide some empirical illustrations of these biases, and (3) develop a framework for conceptualizing survey response behavior and for integrating structural models of response behavior into the statistical analysis of the underlying economic behavior.     

Choice in Computer-Mediated Environments

In the last several years, the increased diffusion of computer andtelecommunications technologies in businesses and homes has produced newways for organizations to connect with their customers. These computermediated environments (CMEs) such as the World Wide Web raise new researchquestions. In this paper, we examine the potential research issuesassociated with CMEs in five areas: (1) decision processes, (2) advertisingand communications, (3) brand choice, (4) brand communities, and (5)pricing.     

文化语境与交际

语境是与语言有关的因素，语言是在语境中呈现，在语境中生成意义。人类交际中的社会文化特征是理解语言的重要因素，交际的过程也就是语境建构的过程。由于文化的差异和语境的复杂性，跨文化交际中的顺应比较困难。文化语境成为制约语言理解的各种因素。文化语境是理解交际的认知基础，它有利于我们解读语言交际的性质，消除话语的歧义。     

Recent Progress on Endogeneity in Choice Modeling

We describe recent progress in several areas related to endogeneity, including: choice set formation and attention to attributes; interactions among decision-makers; respondents' strategic behavior in answering stated preference choices; models of multiple discrete/continuous choice; distributions of willingness-to-pay; and methods for handling traditionally endogenous explanatory variables.     

Choice Based on Goals

This article introduces a goal-based view of consumer choice in which (1) choice is influenced by three classes of goals (consumption goals, criterion goals, and process goals), (2) goals are cognitively represented, and (3) the impact of a goal on choice depends on its activation. For each class of goals, we discuss how goal activation is influenced by direct (subconscious) goal priming, by spreading activation from choice options, from other goals, and from the context, and by goal (non-)achievement. Opportunities for modeling goal-based choice, the integration of emotions in a theory of goal-based choice, and relationships with dual-process theories of decision making are discussed. An expanded version of this paper is available from the first author.     

Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.     

An Analysis of Assortment Choice in Grocery Retailing

Consumers in grocery retailing commonly buy bundles of products to accommodate current and future consumption. When all products in a particular bundle share common attributes (and are selected from the same product category), the consumer is said to assemble an assortment. This research examines the impact of assortment variety on the assortment choice process. In particular, we test the prediction that consumers demand less variety for higher quality items. To investigate this relationship, we employ a flexible choice model, suitable for the analysis of assortment choice. The model, based upon the assumption that the utility of purchase of one item in an assortment depends upon the set of items already selected, allows for a general utility structure across the assortment items. We apply the model to household assortment choice histories from the yogurt product category. Substantively, we show that yogurt choice is affected by brand quality perceptions (quality-tier competition). Moreover, we show that reaction to reductions in variety (number of yogurt flavors) is mediated by brand quality perceptions. Taken together, these empirical facts paint a picture of a consumer who is willing to trade-off variety against product quality in assortment choice.     

Current Issues in Discrete Choice Modeling

Until recently, computational constraints forced researchers in thediscrete choice area to limit themselves to very simple statistical models,such as the multinomial logit (MNL), in which choice probabilities could beevaluated quickly on a computer. But the MNL only makes sense as abehavioral model under very special circumstances. Recent advances incomputation make it possible to estimate richer behavioral models thatgenerate very complex choice probability expressions. This paper discusses anumber of possible avenues for future research in the discrete choice areain light of these developments.     

Learning About Computers: An Analysis of Information Search and Technology Choice

We estimate a dynamic model of how consumers learn about and choose between different brands of personal computers (PCs). To estimate the model, we use a panel data set that contains the search and purchase behavior of a set of consumers who were in the market for a PC. The data includes the information sources visited each period, search durations, as well as measures of price expectations and stated attitudes toward the alternatives during the search process. Our model extends recent work on estimation of Bayesian learning models of consumer choice behavior in environments characterized by uncertainty by estimating a model of active learning—i.e., a model in which consumers make optimal sequential decisions about how much information to gather prior to making a purchase. Also, following the suggestion of Manski (2003), we use our data on price expectations to model consumers’ price expectation process, and, following the suggestion of McFadden (1989a), we incorporate the stated brand quality information into our likelihood function, rather than modeling only revealed preference data.Our analysis sheds light on how consumer forward-looking price expectations and the process of learning about quality influence the consumer choice process. A key finding is that estimates of dynamic price elasticities of demand exceed estimates that ignore the expectations effect by roughly 50%. This occurs because our estimated expectations formation process implies that consumers expect mean reversion in price changes. This enhances the impact of a temporary price cut. Finally, while our work focuses specifically on the PC market, the modeling approach we develop here may be useful for studying a wide range of high-tech, high-involvement durable goods markets where active learning is important.JEL Classification: C15, C33, C35, C42, C51, C52, D83, D84     

上市公司会计政策选择分析

随着新企业会计准则的实施,上市公司会计政策有了较大的可选择空间。同时,也必须认识到,上市公司一方面可以根据其生产经营目标和特点选择更适宜的会计政策,以保证会计信息的真实与公允,另一方面,新会计准则增加了上市公司利用会计政策选择进行盈余管理、报表粉饰甚至利润操纵的可能性。应控制会计政策的滥用,使企业会计政策选择剩余权不宜过大;健全上市公司的内部监控机制;完善上市公司会计准则。     

Contextualising Media Choice Using Genre Analysis

Value creation is increasingly organized in virtualized settings requiring effective computer-mediated communication. While media choice has been a topic of interest in Information Systems for some time, corresponding media choice theories exhibit a range of shortcomings with regard to applicability in context. Since the theories try to generalize across social contexts, their key constructs are rather abstract and underspecified with regard to application. Against this backdrop we present an approach for contextualizing media choice using genre analysis. Genre analysis aims at identifying communication patterns (genres) in social communities (e. g. teams) as a structured overview of existing team communication. By juxtaposing requirements of the identified genres and media characteristics, we are able to propose a new set of media for improving team communication. We illustrate the application of our approach with a case example.

Advances in Research on Mental Accounting and Reason-Based Choice

Research extending over twenty years in behavioral decision theory has led to the development of two important research streams—mental accounting and reason-based choice. This paper explores recent research on the role of mental accounting and reason-based choice in the construction of consumer preferences. Evidence suggests that the principles of mental accounting often regulate the purchase and consumption of luxuries and that reasons may play an important part in this process. In particular, buying and consuming luxury goods tends to call for reasons and justification and can evoke intra-personal conflict that might be resolved with the aid of mental accounting. Moreover, reasons can serve as important building blocks in the formation and grouping of mental accounts. The current paper also discusses the construction of preferences as a process where, in certain cases, consumers choose reasons rather than options. Among other things, focusing on reasons can lead to discrepancies between decisions and consumption experiences, preference intransitivity, and unconventional choices. Directions for future research are discussed.     

Correction Processes in Consumer Choice

Consumers sometimes recognize that irrelevant contextual factors may influence their judgments and decisions. When such factors are detected, consumers might engage in correction processes to counteract unwanted influences in their judgments and decisions. An experiment demonstrated that correction processes can reduce the magnitude of the compromise effect and the attraction effect.