A dimensional versus attribute approach for disaggregate choice models

A fundamental issue facing choice modelers is to make a decision on what kind of independent variables to include in a choice model. With survey data, the two immediate options are: actual product attributes or underlying latent dimensions (factor scores). Using behavioral logic we argue that heterogeneity of consumer perceptions of variables and their saliences should be the key items moderating such a decision. We present empirical evidence to support our theory that dimensional (factor score) based models do better in terms of predictions than attribute based models in more heterogeneous populations. Empirical analysis shows that in segments (where consumer heterogeneity is lower) the predictive performance of attribute based models improves relative to the factor score model and may actually have a better predictive fit when the respondents are relatively homogeneous with respect to attribute ratings and saliences.     

Information Asymmetry in Consumer Perceptions of Quality‐Differentiated Food Products

Increasing consumer demand for quality‐differentiated food products has given rise to a large quantity of food product classifications related to production practices and locations. Some food product claims such as native have no clear definitions and may have ambiguous connotations for different consumers. We analyze whether asymmetry in information affects consumer preferences and willingness to pay for ambiguous claims using the native attribute. An empirical application of pecans is used in the analysis to compare native and improved pecan varieties. With no evidence in the literature of additional benefits of native varieties, the results showed that consumers preferred native varieties. Furthermore tastes and preferences for all product attributes were heterogeneous; heterogeneity in preference for the native attribute was only significant at the 10% level.     

Market strategy for promoting green consumption: Consumer preference and policy implications for laundry detergent

Green consumption is a very common phrase in our daily lives, yet product characteristics that mainly contribute to the diffusion of green products are largely unknown. Based on microeconomic theory, we conduct a conjoint survey of consumer preferences for a ubiquitous green product—laundry detergent. We analyze the correlation between consumers' demographic variables and attributes of laundry detergents through a hierarchical Bayesian mixed logit model. We find that consumer preferences for attributes display significant heterogeneity. Age and income significantly influence the marginal preferences for attributes. An examination of consumer willingness to pay and of the relative importance of each attribute reveals that price and base material are the most important attributes. Green attributes, such as skin irritation potential and biodegradability, tend to be less important. This study also examines preference heterogeneity based on previous purchase experience. To promote green consumption, we emphasize the need for policies that reduce the value‐action gap.     

Using a Community of Knowledge to Build Intelligent Agents

The modeling of individual consumer preference can be aided by incorporating others' opinions which contain information above and beyond identified product attributes. The value of others' opinions is tested using two empirical data sets. The results indicate that incorporating others' opinions into an attribute-based model can reduce systematic error and increase predictive accuracy by serving as a proxy for missing information (e.g., undiscovered attributes or attribute interactions, sensory or experiential aspects of the product, as well as advertising or word of mouth effects). Additionally, modeling individual preference based on others' opinions alone is shown to predict as well or better than traditional multiattribute models thus bypassing the need for defining a product attribute space.     

Product customization: A profile of consumer demand

Increasingly, many brands are handing over to consumers the control of the design process, allowing for the customization of products, experiences, and services. While there is a clear demand for customization, the general assumption is that such demand is homogeneous among consumers. We propose that heterogeneity exists in consumer demand for customization and that a better understanding of these differences is important for brand managers to effectively develop and deliver to consumers the opportunity to customize. Drawing on configuration theory, we provide insights into consumer market segments for firms seeking strategic fit for more effective customization. Across multiple studies, a Latent Cluster Analysis is utilized to profile customization demand. Four distinct segments are identified: Non-Customizers, New Customizers, Active Customizers, and Lapsing Customizers, while studying their outcome considerations in terms of new product design. The varying patterns of customization preference and consumption patterns among segments provide opportunities for retail and service providers to target customization offers more effectively.     

Consumer Preference and Willingness to Pay for a Local Label Attribute in Western Australian Fresh and Processed Food Products

This study investigates Western Australia’s consumer attitudes toward and preferences for locally produced food products signified by a state-funded campaign logo, Buy West Eat Best (BWEB). A choice experiment using both a fresh and a processed food product (skinless chicken breast and fruit yogurt) is conducted to assess willingness to pay for a local production attribute and other label claims. We find that consumer awareness and preference for local foods is high. However, this high preference is not because the product is locally produced but because of the local attributes associated with high-quality products. The study highlights the importance of successfully differentiating products through credible labeling schemes in order to capture market premium.     

不同心理距离情境下产品属性对购买意向的影响

产品属性有两个维度:享乐维度和实用维度,消费者对于享乐属性和实用属性的偏好是不一样的。通过引入心理距离认为产品属性对购买意向的影响是不一样的,如果消费者处在心理距离的情景,那么产品享乐属性对他们的购买意向有更强烈的影响,如果心理距离的减少,产品实用属性对消费者购买意向有更强烈的影响,并认为消费者心理距离的变化会对产品享乐属性和实用属性的偏好发生逆转。     

Consumer choice of retail shopping aids

This research investigates how consumer and product category attributes affect consumer interest in using various shopping aids. Research hypotheses were proposed based on a contingency framework of the relationship between consumer characteristics (i.e., purchase need, product knowledge, and brand preference heterogeneity) and shopping aid solutions (expanded selection, additional product information, personalization, and evaluative information). The findings demonstrated the importance of considering consumer characteristics when retailers design and provide shopping aids for consumers to facilitate purchase completion.     

What Is the Right Delivery Option for You? Consumer Preferences for Delivery Attributes in Online Retailing

Nowadays, online retailers are offering a variety of delivery options consisting of varying combinations of delivery attributes. This study investigates how consumers value these delivery attributes (e.g., delivery speed, time slot, daytime/evening delivery, delivery date, and delivery fee) when selecting a delivery option for their online purchases. Mental accounting theory is used to frame the research and to suggest how mental accounts for money, time, and convenience influence consumer preferences for online delivery options. Specifically, the results of a conjoint analysis show that the most important attribute in shaping consumer preferences is the delivery fee, followed by nonprice delivery attributes. For individual attributes, significant differences are found in consumer preferences between gender and income groups. Cluster analysis reveals three consumer segments that show distinct preference structures: We identify a “price‐oriented,” a “time‐ and convenience‐oriented,” and a “value‐for‐money‐oriented” consumer segment. This study has practical implications for online retailers when implementing suitable delivery strategies and designing effective delivery options to maximize consumer satisfaction.     

Consumer Preferences for ‘Localness’ and Organic Food Production

While organic food is based on well-defined production criteria, the criteria for ‘local’ food are less clear. This study investigates the preferences and trade-offs of distinct consumer segments relative to organic production and several dimensions of local food (sales channel, size of company, and geographical location of animals used in the production). The analysis is based on a quantitative survey of 505 Danish consumers and a choice experiment involving beef salami. Data were analyzed in a principal component and a latent class analysis. We identify five consumer segments whose preferences for organic and local product attributes differed substantially. Most respondents considered geographical proximity in the raising of cattle to be the most important attribute and a third of the consumers were willing to pay a premium for organic salami. The segmentation provides more detailed information about stated consumer behavior than what is typically elicited when considering only average consumer behavior.     

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.

Preference for green packaging in consumer product choices – Do consumers care?

In this paper, consumer environmental choice is studied by analysing the relative importance of green packaging when compared with other relevant product attributes. The empirical study is based on a choice‐based conjoint analysis of preferences for functional drink products of a sample of 330 consumers using these products. Our choice‐based approach on environmental behaviour brings new insights to previous research, which predominantly relies on attitude models. Results indicate that consumers differ in their preferences for packaging, brand, price and convenience of use of daily products. In addition, various distinctive consumer segments can be identified on the market. Contrary to several previous studies, we found that the largest consumer segment, one‐third of consumers, favoured environmentally labelled packaging as the most important criteria in their choice. The findings emphasize the increasing importance of ethical and environmental dimension in product choices. We also propose that the attention in environmental consumer research should be shifted from general attitude studies towards the study of actual product choices.     

试论市场定位、产品定位和竞争定位之间的关系

定位市场营销理论中的一个重要概念,分析定位的本来含义,研究市场定位?产品定位和竞争定位三者的逻辑关系,具有重要的学术价值。市场定位是一种服务于市场营销总体战略而实施的定位,因而它具有宏观及战略层次的属性;产品定位是针对产品开展的,指明企业用什么样的产品来满足目标消费者需求。竞争定位方式的确定及表达更为直接地瞄准竞争对手。     

Different strokes for different folks: A method to accommodate decision -making heterogeneity

Consumer decision making is complex and no single perspective offers a complete theory of consumer decision making. While the research community acknowledges that there is heterogeneity, homogenous choice models dominate consumer decision research. This paper provides insights from one method that was designed to accommodate decision -making heterogeneity. Computer process tracing methods can be used to observe different consumer decisions in one product category to understand what and how people choose. More than two-hundred and fifty decisions were observed in this research. Consumers were asked to select one of nine air conditioner alternatives described with six salient attributes. The research findings clearly reveal consumer differences. Specifically, the attributes and decision types used differed resulting in different product choices. This paper reveals how methods that accommodate decision -making heterogeneity can be used by retailers to inform product ranging decisions for categories.     

Promoting green buildings: Do Chinese consumers care about green building enhancements?

This paper explores sustainability‐related choices about buildings by analysing how consumers rated the relative importance of various attributes of conventional and green buildings. It also analyses how consumers judge environmental and health‐oriented improvements in green buildings. Unlike previous studies, this research applied conjoint analysis to explore the green building market at the consumer's level by regarding green buildings as nondurable green products and services. We used a survey to gather consumer preferences about several green building hotel models which partly applied green energy, modern wood structures and improved indoor environmental quality (IEQ). In total, 341 consumers participated the survey in two of China's largest cities: Beijing and Shanghai. The results revealed that green energy was the most preferred attribute of green buildings, exerting an even stronger overall effect on consumer choice than price. Afterwards, we identified distinct consumer segments and determined the background characteristics of each segment based on the similarities in the preferences for each attribute. The largest consumer segment, consisting of younger consumers, ranked green energy as the most important criterion. However, an improved indoor environmental quality was generally not highly ranked, and individuals in the consumer segment, which included more older and female consumers, were more likely to reject modern wood structures. The results also revealed that higher‐income individuals were most concerned with price, and consumers with higher levels of education were willing to pay more to support green buildings.     

A Conjoint Analysis of Quality Wine

Abstract

Weighted least squares approach for conjoint analysis is used to examine buyer preferences towards wines produced in different Spanish regions. Two producer regions are considered, Na-varra and Aragon, and three wine attributes: price, origin and grape vintage year (wine age). In both regions, differences between urban and rural consumers' preferences are tested. Results indicate that the origin of the grapes is the most important attribute for the wine consumer. Rural consumers prefer locally produced wines while Rioja wines are better considered by urban consumers. The price and the age of the wines are secondary attributes in consumer preferences. Finally, some market segments are formed based on individual consumer preferences and some of their sociodemographic characteristics in order to address differentiated marketing strategies to these segments.     

Recent Advances in Structural Econometric Modeling: Dynamics, Product Positioning and Entry

In the empirical analysis of consumer markets, recent literature has begun to explore the dynamics in both consumer decisions as well as in firms' marketing policies. Other research has begun to explore the strategic aspects of product line design in a competitive environment. In both cases, structural models have given us new insights into consumer and firm behavior. For example, incorporating consumer and firm dynamics may help explain patterns in our data that are not well-captured by static models. Similarly, the strategic aspects of firm entry and product-positioning may be intrinsically linked to firm conduct and the intensity of competition in a market. Structural analysis of these consumer and firm decisions raise a number of substantial computational challenges. We discuss the computational challenges as well as specific empirical applications. The discussions are based on the session “Structural Models of Strategic Choice” from the 2004 Choice Symposium.     

First-time buyers' subjective knowledge and the attribute preferences of Chinese car buyers

This research focuses on the subjective knowledge of first time buyers (FTBs hereafter) and how it influences their preference attributes in a market, more specifically, the emerging Chinese car market. Previous research has considered the difference in the subjective knowledge of a product between owners and non-owners but does not account that some non-owners have stronger intentions to make a purchase. Yet, the impact of the purchase goal of FTBs on their subjective knowledge remains unexplained. This research demonstrates that the effect of the purchase goal on subjective knowledge is moderated by product ownership. Specifically, the findings show that the purchase goal only affects the level of subjective knowledge of FTB but not those of potential repurchasing buyers. Furthermore, when segmenting potential FTBs on the basis of their subjective knowledge, the segment of potential FTBs with higher subjective knowledge display similar attribute preferences to owners, while the preference differences are observed when segmenting potential buyers into owners and non-owners. From a managerial perspective, the findings of the research demonstrate the value of using subjective knowledge for consumer segmentation when targeting car buyers.     

Development of consumer techno segmentation and its application to international markets

This study aimed to develop consumer techno segments based on technology‐related psychographic variables in four different countries including the US, Canada, Spain and Italy. The respondents' technology innovativeness, technology opinion leadership, network externality risk and technology anxiety were used as metrics to identify consumer techno segments. Cluster analysis identified three to four distinct techno segments in each country. Multivariate analysis of variance and univariate analyses were used to validate the differences among techno segments in need for change, leisure orientation and e‐shopping preference in each local market. The similarities and differences of each techno segment were examined across different international markets. A discussion and implications were drawn to help marketers develop penetration and market strategies for different international markets by understanding an expected diffusion rate of a new product and of product life cycles for each local market.     

Store Brand Quality and Retailer’s Product Line Design

This study analyzes a retailer’s store brand quality decision in vertically differentiated product categories. We analyze a game theoretic model composed of one or two national brand manufacturers and a retailer, who strategically chooses the quality level(s) of its store brand(s) relative to the well-established national brand position(s) to maximize its category profit. Our analysis reveals that the nature of a retailer’s store brand quality positioning is quite different from the manufacturer’s national brand positioning decision, and that the best position for a store brand is not “as close to a national brand as possible” as previous studies suggest. Instead, the optimal quality position of each store brand is remarkably sensitive to the distribution of consumers’ willingness-to-pay. In particular, the relative proportions of quality sensitive consumers and price sensitive consumers determine the balance of three key strategic forces — the market expansion force, the retail margin force, and the consumer profitability force, leading to different optimal product line designs for store brands across different category environments. Interestingly, against multiple incumbent national brands, the retailer’s optimal product line design includes a store brand positioned at the highest quality level in the category only if most consumers are moderately quality conscious. We also analyze the implications of national brands’ brand equity for retailers’ store brand strategy.