Tasting in 2D: implications of food shape,visual cues,and oral haptic sensory inputs

Marketers often vary the shape and dimensions of food products. But could changing the shape (e.g., molding food into cubes or rectangular prisms) or altering the dimensions (e.g., cutting food into thicker or thinner pieces) have unintended consequences in terms of influencing consumers’ size perceptions, calorie estimates, or desired consumption volume of the food? Research related to visual inputs and the elongation bias would suggest that thicker and cube-shaped foods would be perceived as larger and higher in calories; however, research related to oral haptic sensory inputs (i.e., the way the food feels in the mouth) would suggest that thinner and rectangular shaped foods would be perceived as larger and higher in calories. We test these competing predictions in a series of three experimental studies and find support for the oral haptic-based hypothesis. Conceptual and managerial implications are discussed.     

How product–cause fit and donation quantifier interact in cause-related marketing (CRM) settings: evidence of the cue congruency effect

We are the first to examine the joint impact of product–cause fit and donation quantifier in the cause-related marketing (CRM) domain. We show that these two CRM cues interact in a unique manner, reflecting the cue congruency effect. Specifically, congruent combinations of these two cues result in high purchase intentions when the cues individually have positive effects. In all other cases, however, purchase intentions are low. Furthermore, we identify moderators of the above cue congruency effect. In Study 1, we show that the cue congruency effect is moderated by product-type, evidencing only in more hedonic product contexts. In Study 2, we show that the above cue congruency effect is moderated by purchase-type, evidencing in planned purchase contexts, but reversing in impulse purchase contexts. We discuss the process mechanism driving these effects, specify the contribution of this research for CRM, cue congruency and impulse purchases, and outline implications for practice.     

Tariffs,Efficiency Wages and Unemployment

The present model embeds a model of intra-industry trade into a labour market, which is characterised by efficiency wages. It is shown that tariff protection of the import competing, home produced brands, may cause the equilibrium unemployment rate to shoot up and instead of protecting the sector may cause it to contract. This is possible when elasticity of demand is high and firms have less market power and thus, protectionist effect of tariffs may get completely reversed.     

The role of attributions in consumer perceptions of retail advertisements promoting price discounts

This study examines whether information in an advertisement promoting a price discount is capable of affecting attributions made about the price reduction and whether these attributions, in turn, affect consumer perceptions and evaluations of the sale. Findings show that price image of the retail advertiser had a strong effect on attributions pertaining to the merchant and a marginal effect on product attributions. The attribution variables, in turn, explained significant amounts of variance in criterion variables measuring consumer perceptions of value, attitude toward the ad, and shopping intentions, beyond the variance explained by the store and discount claim variables manipulated in the study. These results suggest the importance of the role of attributions made by consumers when exposed to ads promoting discounts.     

Coherent forecasting for count time series using Box–Jenkins's AR(p) model

During the last three decades, integer‐valued autoregressive process of order p [or INAR(p)] based on different operators have been proposed as a natural, intuitive and maybe efficient model for integer‐valued time‐series data. However, this literature is surprisingly mute on the usefulness of the standard AR(p) process, which is otherwise meant for continuous‐valued time‐series data. In this paper, we attempt to explore the usefulness of the standard AR(p) model for obtaining coherent forecasting from integer‐valued time series. First, some advantages of this standard Box–Jenkins's type AR(p) process are discussed. We then carry out our some simulation experiments, which show the adequacy of the proposed method over the available alternatives. Our simulation results indicate that even when samples are generated from INAR(p) process, Box–Jenkins's model performs as good as the INAR(p) processes especially with respect to mean forecast. Two real data sets have been employed to study the expediency of the standard AR(p) model for integer‐valued time‐series data.     

Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach

This paper uses both the stochastic and nonstochastic production function approach to measure technical efficiency in public education in Utah. The stochastic specification estimates technical efficiency assuming half normal and exponential distributions. The nonstochastic specification uses two-stage data envelopment analysis (DEA) to separate the effects of fixed inputs on the measure of technical efficiency. The empirical analysis shows substantial variation in efficiency among school districts. Although these measures are insensitive to the specific distributional assumptions about the one-sided component of the error term in the stochastic specification, they are sensitive to the treatment of fixed socioeconomic inputs in the two-stage DEA.     

Housing submarkets and the impacts of foreclosures on property prices

The dramatic rise in the number of foreclosed properties since 2006 has come to assume the proportions of a national crisis. It is widely acknowledged that foreclosures hurt neighborhoods by devaluing the nearby properties through various channels. This paper offers a new way of conceptualizing and then estimating the potential effects of foreclosures on property values. Housing stock heterogeneity in the central city old neighborhood allows for the possibility that the impacts of nearby foreclosures may differ across types of housing. This study uses a dataset that covers twenty years of housing values from the City of Worcester (MA), and finds evidence that foreclosures of multi-family houses in close proximity influence the sales price of surrounding single-family properties after controlling for impact from foreclosure of nearby single-family houses. The most preferred estimate suggests that each multi-family foreclosure that occurs between 660 and 1320 feet away from the sale lowers the predicted sales price by approximately 3%. Nearby multi-family spillover impacts also persist over time. In addition, a new approach advocating for an alternative definition of housing submarket suggests that a distant foreclosure within the same submarket also lower sales price of a single-family home by 0.1%.     

Influencing consumers’ selection of domestic versus imported products: Implications for marketing based on a model of helping behavior

Recent marketing campaigns have urged American consumers to “Buy American.” Marketers can improve the success of their campaigns if they understand the network of influences that lead American consumers to help threatened domestic workers. Consumers’ cooperation in purchasing domestic products may be viewed as a form of help for American workers whose jobs are threatened by the success of imported products. This study presents a model designed to explain consumers’ willingness to help these workers. Survey data were subjected to structural equation analysis to test the model. Results confirmed willingness to help is influenced by the salience of the problem, identification with the workers, inequity of the situation, felt similarity with the workers, empathy with the workers, and the costs of helping. These findings suggest ways to market the Buy American theme. She received her Ph.D. from the University of Utah. Her research interests include international marketing and channels of distribution. Her work has appeared in theJournal of Business Research, Journal of Advertising, Journal of Retailing, and other marketing journals. He received his Ph.D. from the University of Illinois. His research interests include the fitness market, consumer logistics, helping behavior, and marketing channels. His research findings have been reported in theJournal of the Academy of Marketing Science and in various other business and social science journals and proceedings. He received his Ph.D. from the University of Houston. Dr. Biswas’s work has been published in theJournal of Marketing, Journal of the Academy of Marketing Science, Journal of Macromarketing, Journal of Business Research, Journal of Advertising, Journal of Consumer Affairs, Psychology and Marketing, andJournalism Quarterly, as well as other refereed journals.     

Trading Volume and Market Volatility: Developed versus Emerging Stock Markets

We investigate the relation between volatility and volume in 22 developed markets and 27 emerging markets. Compared to developed markets, emerging markets show a greater response to large information shocks and exhibit greater sensitivity to unexpected volume. We find a negative relation between expected volume and volatility in several emerging markets, which can be attributed to the relative inefficiency in those markets. Previous research reports that the persistence in volatility is not eliminated when lagged or contemporaneous trading volume is considered. Our findings show that, when volume is decomposed into expected and unexpected components, volatility persistence decreases.     

Non-optimality of the myopic decision rule: The case of a two-sector open economy

This paper is concerned with optimal allocation of investment in a two-sector open economy with non-shiftable capital. We have assumed a stationary population and fixed terms of trade. It has been shown that, if the economy starts with a small amount of capital in each sector, the myopic decision rule under static expectations will not be compatible with the conditions of optimal investment allocation.