Consumer perceptions of higher and lower-level designed store environments

The role and influence of esthetics in the consumption of store environments remains poorly understood. Little is known about how esthetics propose substantial or adjunctive roles in consumers’ store experiences. The aim of this paper is to examine consumer perceptions of store design-architecture in high and low-level design contexts. Building on the esthetics, and environmental psychology literatures, our findings confirm consumers’ determinations of perceptual differences in the esthetic content contained in presented store environmental stimuli. Latent means comparisons confirm consumers’ perceptions of the presence of a high-level design in one fast-fashion store with a low-level design of a second store of the same retailer using a Confirmatory Factor Analysis. The results demonstrate the reliability and validity of the proposed constructs in confirming the presence of higher and low-levels of design. This research, thus, expands on the extant number of store specification and response constructs and prospectively opens up new lines of store environments research.     

Using distance functions to understand interest taxation

One of Terence Gorman's insights was that if one wants to derive rules about optimal commodity tax rates (or prices) one should treat quantities consumed as the instruments. This paper builds on Angus Deaton's development of this idea using distance functions. I identify necessary and sufficient conditions for uniform commodity taxation in a static model and the efficiency of various tax structures in a life‐cycle model. One implication is that the optimal interest tax rate may be higher when ordinary or compensated labour supply elasticities are lower.     

The Dividend Substitution Hypothesis: Australian Evidence

In a perfect capital market firms are indifferent to either dividends or repurchases as payout mechanisms, suggesting that the two payout methods should be perfect substitutes. Empirical research at the single country level, as well as cross country studies, provide evidence that dividends and repurchases act as substitutes (the dividend substitution hypothesis), and that the tax treatment of dividends versus capital gains affects this relation. Australia, which operates under a full dividend imputation system, has two types of repurchases: on‐ and off‐market. On‐market repurchases are taxed as capital gains while off‐market repurchases comprise a large dividend component carrying valuable tax credits. Australia thus provides a natural setting to investigate how the tax treatment of proceeds affects the dividend substitution hypothesis. Dividend substitution is found to exist for on‐market repurchases but not for off‐market repurchases, thus providing further support for the idea that the tax treatment of proceeds affects the substitutability of repurchases and dividends.     

Choice and the Internet: From Clickstream to Research Stream

The authors discuss research progress and future opportunities for modeling consumer choice on the Internet using clickstream data (the electronic records of Internet usage recorded by company web servers and syndicated data services). The authors compare the nature of Internet choice (as captured by clickstream data) with supermarket choice (as captured by UPC scanner panel data), highlighting the differences relevant to choice modelers. Though the application of choice models to clickstream data is relatively new, the authors review existing early work and provide a two-by-two categorization of the applications studied to date (delineating search versus purchase on the one hand and within-site versus across-site choices on the other). The paper offers directions for further research in these areas and discusses additional opportunities afforded by clickstream information, including personalization, data mining, automation, and customer valuation. Notwithstanding the numerous challenges associated with clickstream data research, the authors conclude that the detailed nature of the information tracked about Internet usage and e-commerce transactions presents an enormous opportunity for empirical modelers to enhance the understanding and prediction of choice behavior.     

Non-Governmental Organizations, Shareholder Activism, and Socially Responsible Investments: Ethical, Strategic, and Governance Implications

In this article, we document the growing influence of non-governmental organizations (NGOs) in the realm of socially responsible investing (SRI). Drawing from ethical and economic perspectives on stakeholder management and agency theory, we develop a framework to understand how and when NGOs will be most influential in shaping the ethical and social responsibility orientations of business using the emergence of SRI as the primary influencing vehicle. We find that NGOs have opportunities to influence corporate conduct via direct, indirect, and interactive influences on the investment community, and that the overall influence of NGOs as major actors in socially responsible investment is growing, with attendant consequences for corporate strategy, governance, and social performance.     

Doing Unto Others: The Reciprocity of Helping Behavior in Organizations

Reciprocity is a fundamental aspect of social life, and a phenomenon studied from a wide variety of philosophical, theological, and social scientific perspectives. In this study, we use social exchange theory to investigate why employees help other employees. We hypothesize, based on the norm of reciprocity (Gouldner, 1960), that a significant cause of an employee's helping behavior is how much organizational citizenship behavior (OCB) the employee has received from coworkers. To provide evidence of the discriminant validity of OCB received as an antecedent of helping behavior, we also assess its effects on another form of extra-role behavior, voice, as well as in-role performance. We found, in a sample of 157 employee-supervisor dyads, that OCB received was related to helping behavior after controlling for several antecedents of helping behavior identified in past research, and was less related to voice and in-role behavior, as hypothesized. Implications for theory and practice are presented.     

Attribute Identities Matter: Subjective Perceptions of Attribute Characteristics

Recent research indicates that attributes vary along multiple dimensions with implications for how trade-offs are resolved during choice. We present an exploratory study of the dimensionality underlying naïve subjects ratings of attributes on the characteristics commonly discussed in the literature on tradeoff resolution and decision difficulty. Factor analysis of attribute characteristic assessments indicates that subjects view decision attributes in a multi-dimensional fashion, including an importance/loss aversion dimension, an emotional potential/protection from tradeoffs dimension, and a cognitive difficulty dimension. These results suggest that a one-dimensional measure of attribute characteristics, such as a standard attribute importance rating, may obscure some factors determining individual responses to attributes during decision processing. However, the results also suggest that developing a relatively succinct set of scales in order to characterize the dimensions along with subjects response to attributes is a viable goal for future research.     

Hierarchical Bayesian conjoint models incorporating measurement uncertainty

The authors explore situations where consumers supplement their judgments with a measurement of uncertainty about their own preferences, either implicitly or explicitly, and develop two sets of hierarchical Bayesian conjoint models incorporating such measurements. The first set of models uses the relative location of a rating to determine the importance or weight given to the rating, in a regression setting. The second set uses interval judgment as a dependent variable in a regression setting. After specifying the models, the authors perform a theoretical comparison with a basic Bayesian regression model. They show that, under different conditions, the proposed models will yield more precise individual-level partworth estimates. Two simulated data examples and data from a conjoint study are used to illustrate the gains that could be obtained from modeling uncertainty. In the empirical application, the authors show that model fit improves when ratings for items that respondents do not like are given more weight compared to ratings for items that they do like. Electronic Supplementary Material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.