The moderating influence of style of information processing on media perceptions and information exposure

This study investigated the extent to which style of information processing relates to media perceptions and information exposure. The results showed that visually oriented individuals were more favourably predisposed to the television medium and reported greater exposure to this medium than verbally oriented individuals. Verbally oriented individuals reported greater exposure to print media information than did visually oriented individuals. An exploratory interaction hypothesis between information processing style and gender was not supported. The implications of these results and future research directions are discussed.     

Quick and easy choice sets: Constructing optimal and nearly optimal stated choice experiments

In this paper we compare a number of common strategies for constructing discrete choice experiments. Two of the strategies, including one based on theoretical constructions for optimal discrete choice experiments, produce designs that are better than those that come about from random grouping and from using the L^MA construction. A simple account of this theoretical construction is given.     

Estimation bias in choice models with last choice feedback

The study compares two estimation methods for choice models with last choice feedback, using simulated and real data. The first method ignores the impact of unobserved heterogeneity on observed choices via presample choices, while the second method approximates this impact by a stochastic relationship. In panels with less than 10 choices per panelist, the first method overstates the impact of last choice on current choice and understates the impact of intrinsic preferences (i.e., brand intercepts). The second method performs significantly better than the first method. Under both methods, an increase in the number of heterogeneous coefficients in the model tends to increase the bias in the estimates. The largest bias occurs when lagged choice coefficients are heterogeneous.     

Incorporating choice dynamics in models of consumer behavior

This paper presents a framework for organizing and discussing factors influencing consumer choice dynamics, how these factors may be incorporated into models of buyer behavior and problems that may arise in estimating such models. The paper identifies research issues and delineates possible approaches. Proceedings of Session on Choice Dynamics at the Banff Symposium on Consumer Decision-Making and Choice Behavior. All authors share equally in content and remaining errors.     

Information processing analysis of a stochastic model of brand choice

A formal and detailed comparison between Morrison's brand loyal model and its information processing counterpart reveals serious internal inconsistencies and other shortcomings of this stochastic model.     

Heterogeneity distributions of willingness-to-pay in choice models

We investigate direct and indirect specification of the distribution of consumer willingness-to-pay (WTP) for changes in product attributes in a choice setting. Typically, choice models identify WTP for an attribute as a ratio of the estimated attribute and price coefficients. Previous research in marketing and economics has discussed the problems with allowing for random coefficients on both attribute and price, especially when the distribution of the price coefficient has mass near zero. These problems can be avoided by combining a parameterization of the likelihood function that directly identifies WTP with a normal prior for WTP. We show that the typical likelihood parameterization in combination with what are regarded as standard heterogeneity distributions for attribute and price coefficients results in poorly behaved posterior WTP distributions, especially in small sample settings. The implied prior for WTP readily allows for substantial mass in the tails of the distribution and extreme individual-level estimates of WTP. We also demonstrate the sensitivity of profit maximizing prices to parameterization and priors for WTP.

Positive affect moderates the impact of assortment size on choice satisfaction

The present research proposes that positive affect mitigates choice overload. Results from four studies show that whereas people in neutral affect feel less satisfied when choosing from a large relative to a small assortment, people in positive affect do not experience a decline in satisfaction and may even feel more satisfied when choosing from a large, relative to a small assortment. It is proposed that positive affect has these effects by shifting people's attention from the difficulty of the choice task to the quality of the assortment, as a basis for judgment of choice satisfaction.     

The no-choice option and dual response choice designs

Choice set designs that include a constant or no-choice option have increased efficiency, better mimic consumer choices, and allow one to model changes in market size. However, when the no-choice option is selected no information is obtained on the relative attractiveness of the available alternatives. One potential solution to this problem is to use a dual response format in which respondents first choose among a set of available alternatives in a forced-choice task and then choose among the available alternatives and a no-choice option. This paper uses a simulation to demonstrate and confirm the possible gains in efficiency of dual response over traditional choice-based conjoint tasks when there are different proportions choosing the no-choice option. Next, two choice-based conjoint analysis studies find little systematic violation of IIA with the addition/deletion of a no-choice option. Further analysis supports the hypothesis that selection of the no-choice option is more closely related to choice set attractiveness than to decision difficulty. Finally, validation evidence is presented. Our findings show that researchers can employ the dual response approach, taking advantages of the increased power of estimation, without concern for systematically biasing the resulting parameter estimates. Hence, we argue this is a valuable approach when there is the possibility of a large number of no-choices and preference heterogeneity.     

Advances in computation,statistical methods,and testing of discrete choice models

This paper gives a brief overview of recent developments in computation, estimation, and statistical testing of choice models, with marketing applications. Topics include statistical models for discrete panel data with heterogeneous decision-makers, simulation methods for estimation of high-dimension multinomial probit models, specification tests for model structure and for brand and purchase clustering, and innovations in numerical analysis for estimation and forecasting. In collaboration with Denis Bolduc, David Bunch, Michael Keane, Don Kridel, and Steve Stern.     

Consideration set influences on consumer decision-making and choice: Issues,models, and suggestions

This paper affords a stylized view of individual consumer choice decision-making appropriate to the study of many marketing decisions. It summarizes issues relating to consideration set effects on consumer judgment and choice. It discusses whether consideration sets really exist and, if so, the factors that affect their composition, structure, and role in decision-making. It examines some new developments in the measurement and modeling of consideration set effects on decision-making. The paper concludes with suggestions for needed research. The authors wish to acknowledge the numerous ideas and perspectives contributed by the other members of the Banff Symposium workshop:Mukesh Bhargava (University of Alberta),Bill Black (Louisiana State University),Gary Gaeth (University of Iowa),Hotaka Katahira (University of Tokyo, Japan),Gilles Laurent (Centre HEC-ISA, France),Irwin Levin (University of Iowa),David Midgley (Australian Graduate School of Management),Thomas Novak (Southern Methodist University), andJames Wiley (University of Alberta). This paper has benefited greatly from their contributions.     

Social distancing and store choice in times of a pandemic

Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.     

Efficient choice set designs for estimating availability cross-effects models

Batsell and Polking proposed a discrete choice model which incorporates the availability (presence or absence) of competing brands into the utility of each brand under study. The information on relative impacts of adding or deleting brands is of strategic interest, and models that do not incorporate such effects may be misleading. The designs suggested by Batsell and Polking have 2^m–m–1 choice sets. Even with as few as 10=m brands, this requires over 1000 choice sets. In this paper we provide a catalog of designs for estimating cross effects models in as few as 2m–1 choice sets. This will make cross effects modelling practical in a wide range of academic and commercial settings.     

Advertising value and advertising processing

Advertising value research is rooted in the view that advertising messages are potential communications exchanges between advertisers and consumers. Since some level of processing effort on the part of receivers is necessary for successful exchanges to occur, it is proposed that advertising processing decisions are based on initial, spontaneous, categorical evaluations that combine to form an expected advertising value (EAV) assessment. If sufficiently positive, individuals devote additional processing effort to the advertisement and more detailed ad-related factors become the focus. Once processing ends after some or all of an advert has been taken in, an evaluation of whether or not the effort was actually worthwhile - designated as outcome advertising value (OAV) - should be a measurable outcome. Factors that account for OAV and its relationship to attitude-toward-the-advertisement (A ad ) are also discussed.     

The effects of memory set accessibility and relevance on the use of memory information during product choice

The Accessibility-Relevance framework provides a useful perspective to consider the retrieval and use of memory information during product decision making (Alba, Lynch, and Hutchinson, 1990; Lynch, Marmorstein, and Weigold, 1989). However, it considers accessibility on an individual brand basis, while actual product choice often includes information across multiple alternatives. Thus, memory set accessibility (MSA), the relative accessibility across memory brands, is introduced as a potentially important but unexplored issue within the Accessibility-Relevance research stream. This study 1) provides an explanation for how MSA may produce results which significantly expand the current Accessibility-Relevance conceptualization and 2) considers the effects of MSA and relevance on both brand processing and choice.     

Political institutional structure influences on innovative activity

This study draws upon previous research on political institutions to examine country-level measures of innovative activity over a ten-year period within 24 developed nations. Investigating the relationship between political institutional structures and two types of innovative activity (i.e., basic and applied) reveals that political institutions have an important role in determining the number and nature of innovative opportunities for firms and entrepreneurs. Findings suggest that countries with political institutional structures characterized by weak state authority and corporatist societies generate greater levels of basic innovative activity. Further, national political institutions typified by strong state authority and corporatist societies were found to create higher levels of applied innovative activity.     

Determinants of retail bank choice in Nigeria: a focus on gender-based choice decisions

As the Nigerian retail banks customers become more sophisticated, it is now very important that retail banks determine the factors that are important and relevant to the customers’ retail bank choice decisions. By using a survey of retail bank customers, this study evaluates the relative importance attached to retail banks’ choice criteria used by male and female customers in Nigeria. The results show that there are some differences in choice factors used by male and female customers in selecting a retail bank for patronage. The recommendation is that bank managers should take both female and male market segments into consideration when making retail bank strategic planning in order to become competitive. The findings can assist retail bank managers in refining their marketing strategies as a means of overcoming the intense competition that exists in the Nigerian banking system.     

Consumer power and choice deferral: The role of anticipated regret

This paper examines the influence of social power on consumers' propensity to defer choice. Based on the notion that elevated power reduces regret anticipation—the fear of making a wrong choice—it is proposed that power influences the extent of choice deferral by reducing consumers' susceptibility to anticipated regret. Because of the regret-based mechanism, power can increase or decrease consumers' propensity to defer choice, depending upon the situational factors that are associated with anticipated regret, such as salience of regret, outcome reversibility (e.g., return policy), and locus-of-regret (postponing vs. choosing now). Using different manipulations of power, seven studies provide consistent support for the proposed effects and show that situational factors and marketing strategies can induce, turn off, or even reverse the effect of power on deferral. Theoretical contributions and managerial implications are discussed.     

神经网络的基本特征及其在军事通信领域中的应用前景

<正> 随着世界经济的缓慢复苏,1992年世界贸易取得了较快的增长,全年的增长率虽然尚未揭晓,但是据国际权威机构的预测,1992年世界贸易的增长率可望从1991年的3％上升到5.6％,几乎增长了90％,远远超过了世界经济从1991年的1％上升到1992年的1.5％的增长速度。由于世界贸易是世界经济的发动机,它的快速发展必然会推动世界经济的发展步伐。西方一些预测机构对于1993年世界经济发展前景均持较为乐观的态度,预计1993年世界经济增长率将上升到3％左右。如果这个预测数字能成为现实,那么,世界经济加速增长对世界贸易发展也会起促进作用,将     

Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias.