Labour use efficiency in the Indian and Pakistani commercial banks

The Indian and Pakistani banking industry is said to have an excessive use of labour due to the significant market share of government owned banks. Both countries have undertaken a process of regulatory reform to bring about market discipline in the usage of inputs and to increase the labour use efficiency and productivity. The focus of this paper is the estimation of productivity and efficiency of labour use in the banking sectors of the Indian sub-continent. The results show that the efficiency of labour use across the Indian sub-continent is improving over time and that foreign banks are more efficient compared to domestically owned banks in their usage of labour.     

The effect of accounting firm size and member rank on professionalism

The relationship between the number of employees in a firm, their rank, and the level of professionalism among firm members is evaluated in 19 accounting firms, involving 325 accountants engaged in public practice. Professionalism is measured using five individual traits plus a composite. Results indicate that one trait (i.e. a belief that the profession provides a service to society) and the composite were inversely related to firm size. Rank or position in the firm hierarchy demonstrated an even stronger, independent effect on three professionalism traits and the composite, with higher member rank associated with higher levels of professionalism. Issues related to the future study of professionalism among accountants are discussed.     

BUILDING CARS TO CUSTOMER ORDER — WHAT DOES IT MEAN FOR INBOUND LOGISTICS OPERATIONS?

The automotive industry is undergoing a strategic transition. Cost pressure from rising stock levels in the market and increasing incentives needed to sell these vehicles are forcing vehicle manufacturers to rethink their prevalent “stock‐push” approach, building vehicles against a forecast and selling from stock, in favor of a stock‐less “build‐to‐order” order fulfillment strategy. More responsive order fulfillment at the vehicle manufacturer level however will not only require flexible and responsive component supply, but will also have wide ramifications for the logistics operations. Based on three case studies of major inbound logistics operations, this exploratory study assesses their ability to support such a build‐to‐order approach, as well as the potential implications of such transition. The paper concludes with a set of general strategies for how these implications could be mitigated.     

Question order effects in taste testing of beverages

The effect of order position has been demonstrated in marketing research, sometimes compromising survey results. This paper studies the influence of order position in product taste trials of carbonated beverages using a sequential monadic design. The authors measure attitude ratings across product trials rather than across products to examine the effect of order position on preference ratings.     

Variety in the video game industry: An empirical study of the Wundt curve

This study analyzes the effect of variety on consumer utility using historical behavioral information for 1,397 consumers participating in 729,049 unique rounds of play. We show that consumers generally exhibit a preference for variety as part of their gameplay utility. The relationship between variety and utility is nonlinear and follows, at least for some types of variety, an inverted u‐shape as predicted by the Wundt curve. Our results represent the first such evidence on the importance of variety in video gaming, which has significant implications for consumption through optimization of gameplay utility to satisfy the demand for variety.     

Housing-Price Cycles and Prepayment Rates of U.S. Mortgage Pools

Empirical mortgage prepayment models generally have trouble explaining differences in mortgage-prepayment speeds among pools with similar interest rates on the underlying mortgages. In this article, we model some of the sources of termination heterogeneity across mortgage pools, particularly the role of regional variations in housing prices in generating atypical prepayment speeds. Using a sample of Freddie Mac mortgage pools from 1991 to 1998, we compare two classes of empirical models: a rational option-pricing model using a backward-solving pricing algorithm and an empirical hazard model. In both empirical estimation strategies, we find evidence that differences in house-price dynamics across regions are an important source of between-pool heterogeneity. This finding is then shown to be robust to alternative ways of parameterizing pool heterogeneity in mortgage termination models.     

The role of numeric and statistical content on risk perception in infographics about road safety

Abstract

Numbers saturate news coverage and health and risk messaging. But as our expertise in the creation of statistical information increases, the ability to use those statistics in decision making remains frustratingly inadequate. There has been a wealth of research related to how to train people to better use the numbers they interact with on a daily basis. Far less research, however, explores the appropriate way to use numbers in communication. Two experiments explored the role of numbers in risk communication infographics related to road safety while driving. Experiment 1 found that the presence of numbers influence risk perception, but whether those numbers reflect accurate statistics or random numbers does not change their influence. Experiment 2 found that removing all statistics entirely from infographics and replacing them with linguistic gist representations of the numbers (i.e. words like ‘some’, ‘many’, ‘none’) increased risk perception even though people found the infographics to be less informative than the ones containing numbers. The results suggest that the gist representations of the numbers in the context of the infographics are equivalent regardless of their value, such that the very presence of statistics influences judgment and risk perception but not their meaning. They also suggest that people do not always realize how they are using statistical information in their judgement and decision making process.