A New Typology for Economic Sectors with a view to Policy Implications

This paper is an attempt to tease out a typology of economic sectors based on a systems approach to innovation and economic growth that may be useful for policy analysis. The typology explored here revolves around novel products rather than ethereal knowledge-producing entities. This insight goes back to Allyn Young (1928) and Joseph Schumpeter (1934) who argued that the introduction of new goods was the engine of economic growth. More precisely, our typology of sectors focuses on novel products which are efficiency-enhancing within and between sectors through the market mechanism. The scheme revolves around the relationship between 'Enabling' and 'Recipient' sectors (which gives the typology its name: ER), and offers a lens for viewing and interpreting a substantive part of the mechanics of modern economic growth. The last part of the paper briefly discusses a few immediate policy implications, although it has the potential for greater use and value in this regard.     

The timing of prepayment: A theoretical analysis

This article develops the analytical methods necessary to determine the prepayment patterns of a mortgage contract. The most obvious measure of how many years a mortgage is likely to last is the expected time to termination. It is this measure that we most fully explore. However, since the method employed is able to characterize the probability of prepayment in any given time period, the means is provided to determine any measure of the time to termination.     

Preventing HIV in injection drug users: exploring the tradeoffs between interventions

Injection drug users (IDUs) transmit the human immunodeficiency virus (HIV) via both needle sharing and sex. Available interventions for this population have varying costs and effectiveness and focus on different risk behaviors. In this analysis, we look at two interventions. One is inexpensive, broad-based and provides modest risk reductions (street outreach (SO)); the other is narrowly focused, expensive and relatively effective (methadone maintenance). This analysis explores the effects of population risk behavior, intervention effectiveness, intervention costs, and decision constraints when allocating funds between these two interventions to maximize effectiveness. We develop a model of the spread of HIV, dividing IDUs into susceptibles (uninfected) and infectives, and separately portraying sex and injection risk. We simulate the epidemic in New York City for time periods from the mid-1980s to the early 1990s, and incorporate the behavioral effects of two interventions performed singly or in combination to find the allocation that maximizes the number of infections averted in the IDUs and their noninjecting sex partners, assuming interventions have increasing marginal costs. We find that the optimal allocation nearly always involves spending the maximum allowable amount on SO. This result is largely insensitive to variations in risk parameters, intervention efficacy, or cost. The model's structure, however, makes clear that many factors contribute to this insensitivity, namely the scope of the interventions, the dual drug/sex nature of HIV risk in the population, the asymmetry of sexual risk for men and women, and the potential benefits to nonIDUs.     

The role of the seven dimensions of job satisfaction in salesperson's attitudes and behaviors

To date, the majority of studies on job satisfaction use either a global measure or the JDI measure. To extend current research, this study uses the seven dimensions of job satisfaction as described by Churchill et al. [Churchill, G.A., Ford, N.M., Walker, O.C. Measuring the job satisfaction of industrial salesmen. J Mark Res 1974; 11 (3): 254-260.] to explore the relationship between job satisfaction, emotional exhaustion, organizational commitment and propensity to leave. Findings suggest that: 1) emotional exhaustion only relates to certain dimensions of job satisfaction and 2) job satisfaction dimensions related to organizational commitment and propensity to leave are not necessarily the same. Overall, this research provides an argument for the use of the seven dimension job satisfaction scale, as opposed to global measures or the JDI measure.     

Implementing a Market Orientation in Small Manufacturing Firms: From Cognitive Model to Action

Using in-depth interviews of the CEO/Presidents of 21 small manufacturing firms, this research explored how leaders with a high market-oriented cognitive model have intentionally pursued the implementation of that model and how their activities differed from leaders with a low market-oriented cognitive model. Results indicated that leaders in high market-oriented organizations appeared to be working from cognitive models that reflected market-oriented values, and norms consistent with those suggested by Homburg and Pflesser. Additionally, results indicated strong consistencies across firms in the mechanisms used by leaders to implement their high market-oriented cognitive models and different but equally strong consistencies in the mechanisms used by leaders to implement their low market-oriented cognitive models. Structurally, high market-oriented leaders expressed less departmentalization than low market-oriented firms, used some form of internal customer/supplier networks, had very open communication systems, and established performance management systems designed to initiate and reward market-oriented behaviors among employees.     

MODELING UNCERTAIN FORECAST ACCURACY IN SUPPLY CHAINS WITH POSTPONEMENT

We examine a situation where a manufacturer operates in a two‐mode production environment. The first mode could involve overseas vendors and manufacturing facilities. If additional units are later required, the company must use its second mode—more expensive last‐minute domestic vendors and manufacturing sites. We develop a new methodology for analyzing the impact of forecast accuracy on the decision to postpone production. We examine the interaction of forecast accuracy, shortage vs. holding costs, transportation costs and the cost of postponing production in the supply chain of a single product facing uncertain demand. Our model can be used to analyze the cost of important changes, such as increasing forecast accuracy, reducing the cost of backorders, lowering the cost of delaying production, or lowering transportation costs. Our model allows a firm to understand its overall cost structure so that it can accurately evaluate the impact of improved forecast accuracy and lowered costs in the context of postponement.     

An analysis of air mass effects on rail ridership in three US cities

This paper examines whether daily weather affects ridership in urban transportation systems. When examining human–weather relationships, it is often advantageous to examine air masses, which take into account the entire parcel of air over a region. Spatial synoptic classification characterizes air masses based upon numerous meteorological variables at a given location. Thus, rather than examining temperature or precipitation individually, here we compare daily ridership to synoptic air mass classifications for three urban rail systems: Chicago Transit Authority (CTA), Bay Area Rapid Transit (BART), and the Hudson–Bergen light-rail line in northern New Jersey. Air masses are found to have a significant impact on daily rail ridership, with usage typically increasing on dry, comfortable days and decreasing on moist, cool ones, particularly on weekends. Although the comfort of a particular air mass changes throughout the year, seasonality is not a significant factor with respect to the air mass–ridership relationship. The results of this study can benefit rail system managers who must predict daily ridership or in the development of cost-benefit analyses for station improvements.     

Knowledge seeking in going abroad

Based on knowledge theories, this study examines the impact of client‐following and market‐seeking entry strategies on foreign market entry by firms. The article also explores the subsequent development of knowledge in firms. Using data from 116 firms, we test three hypotheses using logistic regression. Our hypotheses are supported in the data. Our analysis shows that significant differences exist between client‐following firms and market‐seeking firms. Client followers are both supported and trapped by their international network, whereas market seekers, though not supported, are much freer to pursue higher‐order learning. Due to differences in their network ties, these two types of firms learn at different speeds and learn different things. We also found that firms with proactive knowledge‐seeking strategies learn more. Thus, learning strategies have consequences for exploration and exploitation of international markets, what is learned and how much is learned, and proactive internationalization strategies for firms. © 2009 Wiley Periodicals, Inc.