Effects of Lightness‐Location Congruency on Consumers’ Purchase Decision‐Making

A considerable body of psychological and neuroscientific research has demonstrated the existence of robust sensory correspondences between various features, attributes, or dimensions of experience in different sensory modalities. Despite findings indicating the importance of sensory correspondences to human information processing, research on purchase decision‐making has not to date focused sufficiently on this phenomenon. The present study examines how the lightness of packaging colors, and the location of products on a display shelf interact to affect consumers’ purchase decision‐making via perceived visual heaviness. As predicted, a display with light (dark) colored products positioned in the upper (lower) shelf positions increases shoppers’ perceptual fluency and facilitates their visual search, thus leading to the suggestion that “light” (heavy) locations are most appropriate for light (dark) colored products. Moreover, the lightness‐location congruent display is shown to influence people's choice behavior positively as well. This research also demonstrates that when consumers consider the lightness (in terms of their weight) of the products, they are more likely to choose light (vs. dark) colored products located in the upper shelf positions. These results therefore demonstrate that consumers’ purchase decision‐making may be promoted by in‐store environments designed to be congruent with their sensory correspondences.     

The Influence of Plan Demographics on Contribution Behavior of 401(k) Participants

This article examines the influence of plan demographics, which is defined as the salary and tenure composition of a plan, on contribution behavior of 401(k) participants. Results using a large sample of 401(k) plans show that plan demographics influence participant contribution rates directly or through interaction with individual demographic characteristics. A participant's contribution rate can be varied by 1.6–3.0 percentage points for each age between 25 and 64, depending on what plan demographics she is exposed to. In addition, for the decision to contribute the maximum allowed amount, plan demographics significantly interact with individual demographic characteristics.     

Measuring the economic impacts of major sports events: the case of Formula One Grand Prix (F1)

This study was examined the new money generated from Formula One Grand Prix (F1) and the economic impacts of this new money on the host economy using input–output analysis. We find that the impact of the new money from non-local attendees or international attendees is more pronounced compared to that from local attendees. Also, F1 event appears to influence on sports-related industry as well as other industries such as manufacturing industry. Our findings suggest that the host cities should focus on increasing the non-local and international attendees in order to enhance the economic impacts of a sport event.     

Resource abundance and economic growth in China

This paper revisits the resource curse phenomenon in China and differs from the previous studies in four respects: (i) City-level data is used; (ii) A spatial variable is constructed to estimate the diffusion effect of natural resources among cities in the same province; (iii) The impact of resource abundance on economic development is investigated not only at the city level but also at the prefectural level in China; (iv) We use a functional coefficient regression model to deal with city-specific heterogeneity and, at the same time, analyze the transmission mechanism of the resource curse phenomenon. Our empirical results show that there is no significant evidence to support the existence of a resource curse phenomenon in China. On the other hand, we find that the degree of natural resource abundance in a city has a positive diffusion effect on the economic growth of neighboring cities within the same province at the city level, but not at prefectural levels. We attribute this to the urban bias policy.     

Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN

Using a unique dataset of Korean listed companies for which trade initiators are correctly identifiable, we estimate bias-free PIN (probability of informed trading) that is no longer subject to the trade misspecification problem and test whether it is related to expected returns. Unlike prior studies, we find that bias-free AdjPIN, the adjusted PIN purged of a liquidity component, is positively related to implied cost of equity. Our findings suggest that the errors in PIN variables hamper a proper identification of PIN pricing in prior studies.     

Psychological antecedents and risk on attitudes toward e-customization

Consumers can experience relatively low prices with the dramatic diffusion of online shopping even with customized products, which are commonly more expensive than regular products, due to unique functions of customized product order processes in online environments. This paper investigates how two psychological antecedents, (1) need for uniqueness and (2) status aspiration, can influence consumers' attitude with regard to forming procedures toward e-customized products and how perceived risk, another psychological factor, on purchasing e-customized products plays a role of moderating factor. A self-administered online survey of 321 Japanese consumers is conducted to examine a proposed conceptual model with Structural Equation Modeling (SEM). The analysis using results indicates that the need for uniqueness directly impacts on attitude toward e-customized products while it mediates the effect of status aspiration. A multi-group analysis to test a moderating effect of the perceived risk on purchasing e-customized products highlights the significant effects of psychological factors. The result also provides potential guidelines to e-tailors on possibility of segmenting markets as well as promoting their customized products using these psychological criteria of their target consumers.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

Investment opportunities and dividend omissions

This study examines the market's reaction to dividend omission announcements and finds that if dividends are skipped to preserve cash for good investments, investors do not necessarily regard the omission as negative information. Markets penalize firms for dividend omissions only in the absence of a good stream of investments. In addition, the positive relation between investment opportunity and abnormal stock returns around the announcements is stronger when the level of information asymmetry between management and the rest of the market participants is low. Additional tests reveal that good omitters overcome underperformance faster in the post period. Overall, the results suggest that financial markets interpret differently the information conveyed in the announcement of dividend omission depending on the firm's future prospects.     

Deriving joint space positioning maps from consumer preference ratings

Joint space multidimensional scaling maps are often utilized for positioning analyses and are estimated on survey samples of consumer preferences, choices, considerations, or intentions so as to provide a concise spatial depiction of the competitive landscape including relevant dimensions or attributes, competing brands, and consumers in the same joint space representation. Care has to be given concerning the underlying scale properties of such survey data so as not to distort the resulting joint space positioning map. We present a new joint space multidimensional scaling procedure for positioning analyses for displaying the structure in such survey data when such common ordered successive category measurement scales such as Likert, Edwards, semantic differential, etc., are employed. We present the technical details of this stochastic ordered preference multidimensional scaling vector model as well as the maximum likelihood estimation-based algorithm devised for parameter estimation. Favorable comparisons are made with several existent multidimensional scaling methods in representing the internal structure for such data in marketing positioning studies. An actual commercial positioning application concerning large sports utility vehicles consideration to buy judgments is presented with predictive validation comparisons with other multidimensional scaling joint space procedures.