Housing and the Macroeconomy: Inflation and the Financial Accelerator

Three themes connecting housing and the macroeconomy are discussed. First, evidence is presented for the property market as one of the drivers of U.S. consumer price inflation. Second, key drivers of house prices are explained to account for the remarkable diversity of international experience. Finally, three potential links between housing, credit, and the financial accelerator are discussed. These are the consumption channel, the investment channel, and feedback between bad loans and risk‐spreads via the financial system—and how institutional differences between countries can explain the presence, absence and magnitudes of these linkages.     

Trust in financial services: Retrospect and prospect

Fostering and maintaining high levels of trust in the financial services sector is seen as crucial because of the characteristics of many financial service and in order to promote consumer engagement in the sector. In this article, we report evidence from a body of work and other commentary to provide an insight into trends in consumer trust in the sector as a whole, in comparison with other organisations and how different types of financial services provider have performed relative to each other. We show that the financial services sector as a whole is trusted more than some comparator institutions, and that aggregate levels of trust in the sector have fluctuated a relatively small amount subsequent to the financial crisis. However, important differences between provider types are apparent and these differences have become more profound in the recent past. We provide suggestions as to how trust in the sector may be improved and provider an analysis of current initiatives to improve trust levels in the sector in general and in banking in particular.     

Case Studies of Ethics Scandals: Effects on Ethical Perceptions of Finance Students

Ethics instructors often use cases to help students understand ethics within a corporate context, but we need to know more about the impact a case-based pedagogy has on students’ ability to make ethical decisions. We used a pre- and post-test methodology to assess the effect of using cases to teach ethics in a finance course. We also wanted to determine whether recent corporate ethics scandals might have impacted students’ perceptions of the importance and prevalence of ethics in business, so we used in-depth case studies of several of the major scandals (e.g., Enron, Tyco, Adelphia). Our results are somewhat surprising since studying ethics scandals positively impacts students’ ethical decision making and their perceptions of the ethics of businesspeople.     

Customer loyalty in e-commerce: an exploration of its antecedents and consequences

This paper investigates the antecedents and consequences of customer loyalty in an online business-to-consumer (B2C) context. We identify eight factors (the 8Cs—customization, contact interactivity, care, community, convenience, cultivation, choice, and character) that potentially impact e-loyalty and develop scales to measure these factors. Data collected from 1,211 online customers demonstrate that all these factors, except convenience, impact e-loyalty. The data also reveal that e-loyalty has an impact on two customer-related outcomes: word-of- mouth promotion and willingness to pay more.     

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.     

Contents of Volume 30

Volume Contents

Contents of Volume 30     

How category characteristics affect the number of store brands offered by the retailer: a model and empirical analysis

Our research examines why retailers offer, not one, but multiple store brands in some product categories. More specifically, we are interested in how certain product category characteristics affect the number of store brands. We model a product category consisting of two incumbent national brands that may differ in strength. The retailer may introduce one or two store brands depending on which maximizes category profits. Our analysis suggests that the retailer is likely to carry two store brands in categories where (i) the national brands are similar in strength; and (ii) the price sensitivity between the national brands is low. Interestingly, the conditions that support the introduction of more than one store brand are quite different than the conditions that would facilitate the introduction of additional national brands. We provide empirical evidence that support our model-based predictions.     

Aligning employees through “line of sight”

Aligning employees with the firm's larger strategic goals is critical if organizations hope to manage their human capital effectively and ultimately attain strategic success. An important component of attaining and sustaining this alignment is for employees to have a “line of sight” (LOS) with their organization's strategic objectives. In this article, we illustrate how the translation of calculated firm goals into tangible results requires that employees not only understand the organization's strategy, but also accurately appreciate what actions are aligned with realizing that strategy. Using recent empirical evidence, theoretical insights, and tangible examples of exemplary firm practices, we provide thought-leaders with a comprehensive view of LOS by showing how it can be created, how it can be enhanced or stifled, and how it can be effectively managed. Further, we integrate LOS with current thinking on employee alignment to help managers more effectively benefit from understanding human capital potential.     

Passive Firm Learning and Employment Projection Error

This paper analyzes establishment error in estimating employment targets in business startups and expansions. Passive firm learning models provide a testable hypothesis that, other things being equal, old establishments more accurately predict future employment targets than young businesses. Empirical evidence from 442 Ohio establishments implies that an increase of ten years in establishment age is associated with a decrease in employment projection error rate of between 11 and 13 percentage points.