Positioning terrorism in management and marketing: Research propositions

Terrorism poses both direct and indirect threats to the operations of the firm. It represents a market imperfection that increases transaction costs and creates barriers to the free flow of goods, affecting potential gains that would occur in the presence of unhindered exchange. Terrorism reflects the risk or actual encounter of violent acts, whose goal is to engender fear, coercion, or intimidation. We investigate terrorism and its association with marketing strategy and operations. Key concepts on terrorism are reviewed and a collection of propositions is offered. We highlight the pivotal roles of sourcing, production, distribution, pricing, communications, and general business strategy as functions influenced by, or capable of influencing, terrorism. Lastly, we offer managerial implications, as well as directions and guidelines for future research.     

Exit Discrimination in the NBA: A Duration Analysis of Career Length

Using a panel study of annual NBA data (1989–99) we do not find evidence of exit discrimination on career length in the NBA. This result is inconsistent with results from data in the 1980s but is consistent with more recent findings that have measured wage discrimination in sports in the 1990s. In our semiparametric duration analysis, we find that performance variables are important in determining career length. These results suggest that team owners in the pursuit of championships keep talented players regardless of race. This is an affirmation of Becker's theoretical implications of market competition on discrimination. (JEL J71 , J23 )     

‘Someone of Your Own to Love’: Experiences of Being Looked After as Influences on Teenage Pregnancy

Previous research has shown that children and young people who are looked after are vulnerable to poor life outcomes, including early pregnancy. This paper examines how experiences of being looked after may contribute to teenage pregnancy. Using in‐depth interviews, data were collected from 63 young people recently looked after who are aged 15–24 and 78 professionals, across four research sites. The young people reported feelings of loneliness, rejection, stigma and not being able to trust others, emotions which seriously influenced their decisions about becoming parents. The findings suggest that such young people may benefit from a greater degree of emotional and practical support throughout their lives in care. Copyright © 2006 Institute of Education, University of London.     

Being there

This paper examines the use of the Internet as experienced by people with significant mobility/physical impairments who are accustomed to using computers. The study is based on interviews and focuses on computer usage in everyday action and interaction. In many cases, the possibilities that the computer and Internet offer have meant not only important improvements in quality of life, but first-time occurrences of great personal significance. The analysis is phenomenographic, resulting in main categories and subcategories, illustrated primarily through direct quotations. The three main categories are independence, communication, and learning.     

A class of partially linear single‐index survival models

The authors define a class of “partially linear single‐index” survival models that are more flexible than the classical proportional hazards regression models in their treatment of covariates. The latter enter the proposed model either via a parametric linear form or a nonparametric single‐index form. It is then possible to model both linear and functional effects of covariates on the logarithm of the hazard function and if necessary, to reduce the dimensionality of multiple covariates via the single‐index component. The partially linear hazards model and the single‐index hazards model are special cases of the proposed model. The authors develop a likelihood‐based inference to estimate the model components via an iterative algorithm. They establish an asymptotic distribution theory for the proposed estimators, examine their finite‐sample behaviour through simulation, and use a set of real data to illustrate their approach.     

Archaeology and World-Systems Theory

Archaeology has tremendous potential for developing world-systems approaches to non-Western and noncapitalist societies because it has the ability to both explore non-Western and noncapitalist societies with the sophistication of anthropology and to explore societies in existence long before the capitalist world-system began to evolve. I suggest that sociologists stand to gain by learning about non-Western and noncapitalist societies, particularly as they are understood by archaeologists. World-systems theory provides a common framework within which archaeologists and sociologists can both work. This article explores recent work in world-systems archaeology that sociologists might find particularly valuable.     

Multiple Public Service Performance Indicators: Toward an Integrated Statistical Approach

Public service organizations usually produce multiple outputs,measured on different scales, giving rise to a suite of performanceindicators. The traditional approach to statistical analysisof organizational performance has been to develop a separateregression model for each performance indicator. This piecemealapproach, the article argues, may discard valuable information,as it ignores potentially important relationships between individualperformance measures. We therefore propose modeling an organization'sperformance measures simultaneously, using the methods of seeminglyunrelated regressions. The approach implicitly introduces alatent organizational variable into the regressions and maytherefore economize on the need to assemble explicit measuresof organizational characteristics. The method is illustratedusing an example from English public hospitals.     

EXPLORA:content interpretation of data

Most approaches to applying knowledge-based techniques for data analyses concentrate on the context-independent statistical support. EXPLORA however is developed for the subject-specific interpretation with regard to the contents of the data to be analyzed (i.e. content interpretation). Therefore its knowledge base includes also the objects and semantic relations of the real system that produces the data. In this paper we describe the functional model representing the process of content interpretation, summarize the software architecture of the system and give some examples of its applications by pilot-users in survey analysis. EXPLORA addresses applications with data produced regularly which have to be analyzed in a routine way. The system systematically searches for statistical results (facts) to detect relations which possibly could be overlooked by a human analyst. On the other hand EXPLORA will help overcome the large bulk of information which today is usually still produced when presenting the data. Therefore a second knowledge process of content interpretation consists in discovering messages about the data by condensing the facts. Approaches for inductive generalization which have been developed for machine learning are utilized to identify common values of attributes of the objects to which the facts relate. At a later stage the system searches for interesting facts by applying redundancy rules and domaindependent selection rules. EXPLORA formulates the messages in terms of the domain, groups and orders them and even provides flexible navigations in the fact spaces.