A spatial interaction model for deriving joint space maps of bundle compositions and market segments from pick-any/J data: An application to new product options

We propose an approach for deriving joint space maps of bundle compositions and market segments from three-way (e.g., consumers x product options/benefits/features x usage situations/scenarios/time periods) pick-any/J data. The proposed latent structure multidimensional scaling procedure simultaneously extracts market segment and product option positions in a joint space map such that the closer a product option is to a particlar segment, the higher the likelihood of its being chosen by that segment. A segment-level threshold parameter is estimated that spatially delineates the bundle of product options that are predicted to be chosen by each segment. Estimates of the probability of each consumer belonging to the derived segments are simultaneously obtained. Explicit treatment of product and consumer characteristics are allowed via optional model reparameterizations of the product option locations and segment memberships. We illustrate the use of the proposed approach using an actual commercial application involving pick-any/J data gathered by a major hi-tech firm for some 23 advanced technological options for new automobiles.     

Corporate cash holdings and political connections

We examine the relation between corporate liquidity and political connections measured via lobbying expenditures. This is an interesting question as many of the motives for holding cash should be diminished by political connections. Results indicate a significant and inverse relation between cash levels and lobby expenses and that the marginal value of cash decreases with lobbying. Taken together, these findings suggest firms react optimally to the reduced benefits of cash linked to political connections and that the market recognizes the weakened benefits of cash. Overall, our research shows another way political connections can shape corporate policy.     

Game theoretic derivations of competitive strategies in conjoint analysis

While conjoint analysis has been applied in a wide variety of different contexts in Marketing, most applications fail to explicitly consider retaliatory reactions from competitors. In this paper, a methodological extension is developed for conjoint analysis by explicitly modeling competition in a game theoretic context. The Nash equilibrium concept is employed to model competitive reactions to produce design, and its implications for reactive product strategies are discussed. The optimal product design problem for each firm is formulated as a nonlinear integer programming problem, which is solved via a specialized branch and bound method combined with a heuristic. In order to compute a Nash equilibrium, a sequential iterative procedure is proposed. The proposed procedure is illustrated under several scenarios of competition using previously published conjoint data.This research has been supported by the Henry Rutgers Research Fellowship, Rutgers University.     

Banks’ deferred tax assets during the financial crisis

Review of Quantitative Finance and Accounting - Prior studies have demonstrated that the net deferred tax liabilities of industrial firms are valued by market participants in a manner consistent...     

Preference for a career in retailing: a question of personality

Drawing on previous findings from the field of brand personality research and employer branding, this paper aims to explore the symbolic attributes of the retail industry image in South Africa and to identify those personality traits that distinguish preferred industries from the retail industry. The research provides a contemporary overview of the current image of the retail industry in South Africa from the perspective of young university students and allows retailers to strengthen their joint communication effort accordingly. Therefore, a quantitative survey study with 1426 participants from five South African universities was conducted. Participants assessed personality characteristics of the retail industry as well as their most preferred industry. The main results suggest that retail and non-retail students hold different personality perceptions of the retail industry and that prior retail involvement accounts for this difference to some extent. Moreover, the analysis shows that retailing performs significantly worse on those personality attributes that are of major importance for future job seekers. Additionally, the study identifies those attributes that exert a strong effect on students’ preferences for the retail industry. The findings provide useful communication themes for educational institutions, retail companies, and industry associations in order to foster positive personality perceptions associated with the retail industry.     

Corporate spinoffs and executive compensation

This paper investigates the impact of corporate spinoffs on executive compensation. We find no significant association between executive compensation and stock returns prior to spinoffs, but a significant positive association between the two afterwards. We also find evidence that corporate governance generally improves after the spinoff. In addition, the positive association between executive compensation and stock returns is more pronounced for firms with greater improvements in their corporate governance. Overall, our findings support the notion that spinoffs create value by reducing agency costs.     

The Persistence of IPO Mispricing and the Predictive Power of Flipping

This paper examines underwriters' pricing errors and the information content of first-day trading activity in IPOs. We show that first-day winners continue to be winners over the first year, and first-day dogs continue to be relative dogs. Exceptions are "extra-hot" IPOs, which provide the worst future performance. We also demonstrate that large, supposedly informed, traders "flip" IPOs that perform the worst in the future. IPOs with low flipping generate abnormal returns of 1.5 percentage points per month over the first six months beginning on the third day. We show that flipping is predictable and conclude that underwriters' pricing errors are intentional.     

Estimating the Off-farm Labor Supply in Canada

Off-farm labor supply in Canada is modeled using separate off-farm labor participation and off-farm labor supply equations, which allows variables to affect participation and labor supply differently. The data used in this study are from Statistics Canada's Agriculture-Population Linkage Database, which links the Population Census for 1986 to a 20% sample from the Census of Agriculture. Results indicate that age, education and wages have large, significant and opposite effects on participation and supply, and that government efforts to stabilize and supplement farm incomes through rural employment programs may have less effect on labor allocation decisions than do the underlying demographic factors and regional and farm characteristics.
Nous modélisons id les disponibilités d'emploi extérieur (hors-ferme) pour les agriculteurs, utilisant des équations distinctes pour la participation aux emplois extérieurs et pour l'offre des emplois extérieurs, ce qui permet de laisser les variables influer différemment sur les deux éléments. Les donées utilisées proviennent de la base de données de Statistique Canada sur le couplage agriculture-population, laquelle relie le recensement de la population de 1986 à un échantillon de 20 % prélevé sur le recensement de l'agriculture. Les résultats font voir que l'âge, le niveau de scolarisation et les salaires ont de grands effets, significatifs mais opposés, sur l'utilisation et sur les disponibilites d'emplois extérieurs et que les initiatives de'État pour stabiliser et compléter le revenu agricole au moyen de programmes d'emploi rural auraient mains d'effets sur les décisions d'attribution des emplois que les facteurs sous-jacents relevant de la démographie et des caractéristiques particulières de chaque région et exploitation.     

Customer relationship management and company performance—the mediating role of new product performance

Customer Relationship Management (CRM) is widely accepted as an effective approach for collecting, analyzing, and translating valuable customer information into managerial action. However, the potential of CRM has been investigated only in the context of existing products. CRM’s potential to aid in future new product development (NPD) has been neglected. We develop a conceptual framework in which multiple facets of CRM are linked to new product and company performance. We test this model based on a cross-functional sample consisting of 115 R&D and 122 Marketing managers from firms spanning multiple industries. The results provide evidence that CRM has a positive effect on new product performance and further, that this effect is moderated by CRM reward systems but not CRM technology. We also show that new product performance mediates the relationship between CRM and company performance. These findings have important implications for research and practice in both the CRM and NPD areas.