Determinants and outcomes of superstitious beliefs: a multi-study approach

ABSTRACT

Two studies grounded in experiential consumption theory – law of apparent reality and model of emotion-driven choice – test path models exploring determinants and outcomes of superstitious beliefs. Based on a survey of 218 US undergraduates, Study#1 suggests yearning-for-the-past as an antecedent of superstitious beliefs, which in turn relates positively to horoscope importance. Based on a survey of 247 US adults, Study#2 again shows yearning-for-the-past as a determinant of superstitious beliefs and explores previously untested superstitious belief consequences. Study#2 results imply resistance-to-change, buying-brands-due-to-family-traditions, obsessiveness, and intention-to-buy-luck-laden-products, as outcomes that relate positively to superstitious beliefs. These studies extend the consumer behaviour literature on nostalgia, superstition, and resistance to novelty.     

An intertemporal capital asset pricing model under heterogeneous beliefs

An intertemporal CAMP under heterogeneous beliefs is derived. It is shown that an asset's risk consists of three components: the market consensus of volatility risk, the market consensus of the risk induced by changes in the investment opportunity set, and risk associated with uncertain shifts in investor's subjective expectations. The multiperiod market price of risk with heterogeneous beliefs defines a new structure of market risk that captures contemporaneous changes in investors' subjective expectations and the dynamics of the investment opportunity set. The investors' demand for risky assets also is examined under heterogeneous belief. In addition, the model derived provides a generalized version of other CAPM's, such as the classical CAPM, Merton's intertemporal CAPM, and Bredeen's consumption-based CAPM.     

Taiwanese students' attitudes towards and beliefs about advertising

This study aimed to investigate college students' attitudes towards advertising in Taiwan using a survey method. This study applied two advertising constructs and their operationalizations which were developed in the USA: beliefs about advertising and attitudes towards advertising in general (AG). Specifically, this paper intends to determine whether the factor structure of these beliefs is similar to those in the USA and other South Asian countries. It also measures whether Taiwanese consumers' beliefs about advertising predict their AG. Six belief factors were extracted and they accounted for 56.5% of the variance. While the results from the factor analysis did not replicate the results from the USA and other South Asian countries perfectly, the similarities were large enough to conclude that the belief structure underlying AG is similar to these regions. By regression analysis, four of the six factors contributed significantly to the prediction of consumers' AG. Three out of four predictor factors matched those found in other Asian countries. These findings indicated that Taiwanese consumers had the same AG as those in five South Asian countries. These consistent findings provide a benchmark for future study on crossnational consumer beliefs about advertising and AG.     

Segmentation of both reviewers and businesses on social media

Employing online consumer reviews, this research develops a market segmentation procedure that is feasible to businesses present on social media. Because online reviews typically encompass large numbers of both reviewers and businesses, this data structure allows for both reviewer segmentation and business segmentation. This two-side segmentation approach segments not only reviewers in the preferences expressed in their reviews, but also businesses in their business practices specified in the reviews. Whereas common existing segmentation approaches predominantly use survey and transaction data, the proposed procedure uses publicly available and detailed consumption information in such reviews. A large number of product features elicited from such reviews lead to rich and detailed profiling of both reviewer segments and business segments. Using restaurant reviews on Yelp, this research demonstrates how the proposed procedure can help businesses develop segmentation strategies on social media.     

Retail market segmentation: the use of consumer decision-making styles,overall satisfaction and demographics

The objective of the current study was to determine segments of younger and older retail shoppers on the basis of the use of decision-making styles, overall satisfaction and demographic factors. To collect data for this study a structured questionnaire was administered to a sample of 894 urban shoppers residing in two cities in Botswana whose ages were between 18 and 64 years. The shoppers were intercepted in the shopping malls. The unique aspects of this study include the analysis of age differences in the factor structure of consumer decision-making styles as well as the investigation of hybrid segments of the general shopping public using consumer decision-making styles in conjunction with overall satisfaction and demographic factors. Eight decision-making styles emerged for both younger and older shoppers. However, only three styles being Time energy conserving, Perfectionism, and Habitual buying emerged in both age groups. The key findings also reflected that both younger and older shoppers were represented in three segments which were labelled as: uninhibited, functional and laid-back shoppers. Younger shoppers were also classified as recreational quality seekers whilst older shoppers were labelled as novelty–quality seekers. The use of decision-making styles varied significantly across the four segments in each age group. Further differences were observed based on overall satisfaction, education, marital status and income subject to the age group. These results represent a solid attempt to extend knowledge of shopping behaviour in a modern retail sector within a developing country, which is essential for retail mix development and positioning strategies.     

Aesthetic responses to prototypicality and uniqueness of product design

This paper investigates how dimensional measures of product design form influence the aesthetic responses of consumers through the concepts of product prototypicality and uniqueness. We develop and test a model with two different methods. The first is a longitudinal panel of passenger vehicle models available in the U.S. automotive market from 1999 to 2007. The data includes 16 firms, 32 brands, and 137 products (i.e., vehicle models) from four product-based, industry-derived market segments. We also conduct an experiment motivated by the results of the model. The model results suggest prototypical design and aesthetic response can vary by the relative prototypicality and sub-dimensions of the product’s design. Results from both the model and experiment suggest that consumers prefer prototypical design form across the entire passenger car market, but prefer unique design form within specific market segments. Theoretical and managerial implications are discussed.     

Labelling wool products for animal welfare and environmental impact

The notable growth of the market in recent years indicates apparel consumers' interest in organic fibre products. Yet less is understood about how apparel consumers would respond to labelling for other credence attributes associated with animal‐fibre products, such as animal welfare or eco‐friendliness. An online survey of 507 US consumers was used to compare consumers' reactions with a variety of labelling schemes for wool product attributes, including animal‐friendly, organic and environmentally friendly production. Consumer segments were created based on frequency of label choice, and analysis of variance and multinomial logit regression were used to identify and characterize the demographics and psychographics of the consumer segments that found labelling for animal welfare or environmental concerns appealing. The study identified a segment of consumers (19% of the sample) who were motivated to purchase apparel products labelled for animal welfare. These animal‐focused consumers could be identified with relatively high accuracy from the demographic and psychographic variables in the model. The model variables, which included familiarity with organic products and self‐perceived knowledge about environmental damage related to apparel production, were not effective in identifying the environment‐focused apparel consumers. The results also demonstrated the ability of a general belief in animal rights to motivate the apparel consumers in the sample, suggesting that acting on a concern for animals could be a more powerful motivation for consumer behaviour than acting on a concern for the environment.     

Estimating the effect of brand beliefs on brand evaluations when beliefs are measured with error

We consider the internal validity of estimates of the effects of brand beliefs on brand evaluations when beliefs are measured with error. Consumer research suggests numerous errors that may impact belief measures. However, the literature has not determined precisely why and how myriad types of error matter for the evaluation-belief relationship. Furthermore, the literature has not explicitly considered what is necessary and sufficient to control for different types of belief error when using the latent general factor approach. We show that the important distinction for empirical research is not the origin of the error per se but its relationship to affective evaluation. Error related to brand evaluation has an inflationary effect on estimates of the evaluation-belief relationship while error unrelated to brand evaluation has an attenuating effect. We use a bifactor structural equations model to decompose belief measures into general and specific dimensions. The model uses bias free variation in specific beliefs to identify effects on brand evaluation while controlling for a general belief dimension correlated with evaluation. Compared to models that do not adjust for the bias, estimates of the bias corrected marginal effects are smaller but positive and significant.     

Price-matching guarantees as signals of low store prices: survey and experimental evidence

Many retailers offer a price-matching guarantee that promises to pay consumers the difference if they find a lower price elsewhere. This article proposes that the effectiveness of a price-matching guarantee as a signal of low store prices depends on individuals’ beliefs about the degree to which other consumers in the market engage in price search, enforce price-matching guarantees, or both. Consistent with signaling theory, results of a survey and two experimental studies demonstrate that market level factors affect consumer beliefs about the extent to which others engage in price search and thereby the effectiveness of price-matching guarantees in lowering perceptions of store prices. The implications of the findings for retail strategy are discussed along with directions for future research.     

Disagreement in a Multi‐Asset Market

This paper provides a simple framework to study the effect of disagreement in a multi‐asset market equilibrium by considering two agents who disagree about expected returns, variances, and correlation of returns of two risky assets. When agents' subjective beliefs are characterized by mean preserving spreads of a benchmark homogeneous belief, we show that the effect of the disagreement does not cancel out in general and the effect in a multi‐asset market can be very different from a single asset market. In particular, the market risk premium can increase and the risk‐free rate can decrease significantly even when the market is overoptimistic and overconfident.     

Expectancy-value attitude models an analysis of critical measurement issues

Criteria for scaling beliefs and evaluations in the Fishbein model are considered, and a procedure is developed and illustrated for the proper test of multiplicative models. Hierarchical regression is shown to be a valid method for testing interaction hypotheses even when measures are only interval or ordinal scaled.     

Entry deterrence/accommodation with imperfect strategic thinking capability

Both through empirical research and laboratory experiments it has been shown that managers are heterogeneous in strategic thinking-i.e., not all the managers can accurately conjecture their competitors’ behavior and actions. In this paper, we examine the entry deterrence/accommodation strategy of an incumbent firm facing a potential entrant that may behave less strategically than the incumbent in the way of conjecturing competitors’ actions and beliefs. We adapt the Cognitive Hierarchy model to capture this heterogeneity among the managers of the entrant firm and the incumbent firm. Surprisingly, we show that the incumbent can deter entry by investing in expanding the market size and the competition may increase the incumbent’s incentive to invest in market expansion. If entry does occur, the market expansion in our model also benefits entrant comparing to the case without market expansion. This feature of our result sets it apart from the standard result in the entry deterrence literature, which tends to suggest that incumbent has to either over-invest in actions harmful to entrant if entry occurs. In our model investing in expanding the market size makes the entrant to update its belief about the incumbent’s strategic thinking capability downward and thus, decreases the entrant’s expected profitability, which in turn deters entry. Our research has important implications especially for emerging markets given that the lack of management talent is a particularly severe problem among local firms in emerging markets and multinational companies pioneer in the emerging markets with great market expansion opportunities have to face the potential entry of local companies.     

Predicting Entrepreneurial Burnout in a Moderated Mediated Model of Job Fit

We introduce, and empirically test, a model of entrepreneurial burnout that highlights the relationships among job fit, entrepreneurial passion, destiny beliefs, and burnout. Using a sample of 326 individuals involved in entrepreneurial jobs, we tested the link between job fit and two forms of passion—harmonious and obsessive—and the moderating role of entrepreneurs' destiny beliefs about work (i.e., the belief that a successful career is “meant to be”). Findings illustrated that their job fit perceptions were positively related to harmonious passion, which in turn negatively predicted burnout. Additionally, the relationship between job fit and obsessive passion was moderated by destiny beliefs, such that it was positive at high and average levels of destiny beliefs. In turn, obsessive passion was positively related to burnout. We discuss implications for both theory and practice.     

Identification of Web User Segments Based on Beliefs about Online Ads

Online advertising has been one of the fastest growing industries worldwide, due to the increased number of Internet users. From the perspective of marketing management, identifying the profile of web users who click online ads will enable designers to create better online advertising campaigns. Hence, the main objectives of this article are (1) to segment web users based on their beliefs about online ads, (2) to identify personality traits of each segment, and (3) to investigate attitudinal and behavioral differences across segments about online ads. Data were collected through an online survey and by using cluster analysis, web users were segmented into three groups based on their beliefs about online ads: “Supporters,” “Neutrals,” and “Opponents.” Personality trait differences as well as attitudinal and behavioral differences among three segments were examined and significant differences were found in terms of their personality traits, such as variety seeking, market mavenism, and innovativeness.     

The relationship between trusting beliefs and Web site loyalty: The moderating role of consumer motives and flow

This research (1) examines how specific consumer motives (i.e., goal‐directed: searching for information, experiential: browsing for recreation) influence the trusting belief–loyalty relationship at a Web site in a distinct manner and (2) investigates how the online flow experience in each of the motive states strengthens or weakens the trusting belief–loyalty relationship. The results suggest that for consumers with an experiential motive, benevolence‐ and integrity‐related beliefs are the key drivers of loyalty, while ability‐related beliefs do not drive loyalty. On the other hand, for consumers with a goal‐directed motive, the ability‐ and integrity‐related beliefs are the key drivers of loyalty, while benevolence‐related beliefs are not influential. Further, this research illustrates that when consumers with an experiential motive experience a high level of flow, the impact of trusting beliefs on loyalty weakens. However, for consumers with a goal‐directed motive, trusting beliefs continue to exert the same impact on loyalty across both high and low levels of flow. ©2010 Wiley Periodicals, Inc.     

A structural equation model of latent segmentation and product choice for cross-sectional revealed preference choice data

We consider the problem of simultaneously performing market segmentation and predicting product choice for a given population of consumers. This behaviour-based segmentation model uses several types of information characterizing individual consumers and their market context: sociodemographic, psychographic and product choice data. These data are combined in a normative conceptual framework that posits the formation of latent segments, each of which displays differing degrees of sensitivity to relevant product attributes. This permits results obtained by the proposed model structure to differ significantly from those of traditional segmentation techniques, which usually produce a set of groups characterized by smaller within-group than between-group variation in sociodemographic and/or psychographic variables. By making the segments behaviour-based, it is argued that the segments produced by the model will be more actionable and more directly relevant to management decision-making. The proposed model is applied to a data set involving choice of a beauty product offered by five national brands. The results show that the explanatory power of the latent segmentation and choice model is far greater than that of the MNL model, which is nested within our more general specification. The types of results available from the model are illustrated through the application.     

Green Leather for Ethical Consumers in China and Korea: Facilitating Ethical Consumption with Value–Belief–Attitude Logic

Using an innovative fabrication technique, eco-friendly faux leather (EFFL) has been newly developed as a green leather alternative for the Chinese and Korean markets. Value–belief–attitude logic drawn from the heuristic-systemic model (Zuckmand and Chaiken in Psychol Mark 15(7):621–642, 1998) and value–belief–norm theory (Stern et al. in Environ Behav 27(6):723–743, 1995) is proposed to explicate the consumer acceptance attitudes toward the EFFL product. The findings from the multi-group structural equation modeling analysis of online data (n = 600) support the relevancy of VBA logic in which utilitarian and hedonic value motivate pro-environmental belief, and the EFFL product attributes significantly mediate belief and positive attitude toward the EFFL product. The discrepancies across two countries and two age cohorts are noteworthy when pro-environmental belief and product-related information lead to different consumer VBA processes in specific market segments. This study presents insights which provide novel opportunities for managerial implementations and theoretical advancements in eco-friendly related subjects and issues.     

Retention of latent segments in regression-based marketing models

Product design and marketing mix decisions for segmented markets depend crucially on the correct specification of marketing models used as input to these decisions. With real-world data, the true number of segments in a market is unknown. Current evidence from simulation studies suggests that the accuracy of commonly used criteria for determining the number of segments in a market depends on the usage context, including the type of distribution being used to describe the data, the model specification, and the characteristics of the market. This study investigates via simulation the performance of seven segment retention criteria used with finite mixture regression models for normal data. This is one of the most important analysis contexts in marketing research since regression models are used, for example, in conjoint analysis and market response analysis, yet no previous study in either the marketing or statistics literatures explores the segment retention problem for mixture regression models. The study shows that one criterion, Akaike's Information Criterion (AIC) with a per-parameter penalty factor of 3 (AIC3), is clearly the best criterion to use across a wide variety of model specifications and data configurations, having the highest success rate and producing very low parameter bias. Currently, this criterion is rarely, if ever, used in the marketing literature.