Climbing the drug staircase: a Bayesian analysis of the initiation of hard drug use

Since empirical studies have shown that cannabis users are much more likely to initiate hard drug use, a causal linkage has been suggested (‘gateway hypothesis’). However, individual differences in proneness and accessibility to drugs provide alternative non‐causal explanations for the observed drug use pattern. We propose a Bayesian estimation and predictive framework to analyze the effects and relative importance of previous cannabis use, proneness and accessibility factors on hard drug initiation and to explore possible policy implications. We employ a novel model specification, motivated by four gateway transmission channels, to analyze data from a recent Norwegian survey of young adults. Copyright © 2010 John Wiley & Sons, Ltd.     

The influence of position and gender on personal networks in a UK professional service

This paper presents empirical findings regarding the content and process of personal contact or social networks and networking of practitioners in a professional service. The focus of the study is public relations practitioners operating in seven consultancies across the UK, in Manchester, London, Yorkshire and Cheshire. Using qualitative methodologies including in-depth interviews and network mapping, the study reveals practitioners' network size and variety of contacts, and their role in client acquisition and retention. In particular, the study suggests that position and gender are two key influences on practitioners' personal networks. The study appears to identify that managers may have the smallest networks compared to their colleagues and especially lack weak tie contacts in the form of friends, and that female practitioners may have larger and more varied personal contact networks than men. The study thus offers an insight into personal network membership for public relations practitioners, hitherto unexplored, plus a deeper understanding of interactional dimensions of social networks and the gendered nature of networking in the UK public relations sector.     

TM-Link: An Internationally Linked Trademark Database

This article describes a new database—TM-Link—that contains 12 million trademark applications and registrations across six jurisdictions. A feature of the database is the identification of trademark equivalents (or families) within and across national trademark offices. Equivalent trademarks are two, or more, insignias for the same product applied for by the same company. Unlike patents, the incentive to file for global priority is comparatively weak since legal priority for trademarks is territorial. To identify the number of true trademark equivalents we therefore create synthetic links using a neural network-based machine learning algorithm.     

A comparison of alternative technologies to de-carbonize Canada's passenger transportation sector

Using a full systems model of Canada's economy, six alternative scenarios to de-carbonize the personal passenger vehicle fleet are compared to a business as usual non de-carbonized scenario in terms of greenhouse gas emissions, trade disposition of energy commodities, and the physical resources required for energy production. Three scenarios are analyzed to compare the impacts of increasing either ethanol 85, hydrogen, or electricity powered vehicles into the vehicle fleet, with each starting to penetrate the light vehicle stock in 2010 to reach 100% of the new vehicle market by 2050. For each of these three scenarios, we then construct a variant scenario that considers the additional effects of de-carbonizing electricity production. With a de-carbonized electricity sector, net emission reductions are 29% for ethanol 85, and 31% for both hydrogen and electricity. When considering the transportation sector only, net emission reductions equal 13% for ethanol 85, and 14% for hydrogen and electricity. However, although the ethanol scenario results in the lowest reduction in total emissions, it has significant impacts on other parts of the physical resource base. By the time ethanol reaches 5% of the fuel mix in 2015, domestic consumption of grains increases by 20%, in turn impacting crop trade disposition. At this point, emissions are reduced by less than 0.5%, owing to the fossil fuels required since most ethanol is still grain based. By 2050 it is projected that almost all ethanol will be cellulose based, generating a more significant emission reduction but in turn requiring potentially unsustainable amounts of crop residue.     

Specific Knowledge and Divisional Performance Measurement

This classic by the formulators of agency cost theory discusses five common divisional performance measurement methods—cost centers, revenue centers, profit centers, investment centers, and expense centers—while providing a theory that attempts to explain when each of these methods is likely to be the most efficient. The central insight of the theory is that each method offers a different way of aligning decision-making authority with valuable "specific knowledge" inside the organization.
The theory suggests that cost and revenue centers work best in cases where headquarters has good information about cost and demand functions, product quality, and optimal output mix. Profit centers—defined as business units whose managers have responsibility for overall profits, but not the authority to make major capital spending decisions—tend to supplant revenue and cost centers when line managers have a significant informational advantage over headquarters and when there are few interdependencies (or "synergies") between divisions. Investment centers—profit centers in which unit managers are allowed to make major investment decisions—tend to prevail when the activity is capital-intensive and when it is difficult for headquarters to identify the value-maximizing investment strategy.
In evaluating the performance of profit centers, rate-of-return measures like ROA are likely to be effective when unit managers do not have major influence over the level of new investment. But, in the case of investment centers, Economic Value Added, or EVA, is likely to be the most effective single-period measure because it is designed to encourage only value-increasing investment decisions.     

Networks and capabilities as characteristics of logistics firms

The research purpose of this paper is to describe and analyse how three basic types of logistics firms differ in terms of their core capabilities and network development as well as the effects of the difference. Based on the resource-based view and the industrial network approach, a conceptual framework is developed to differentiate logistics firms. Two case studies of logistics firms are used as examples to demonstrate how the framework can be used. Logistics firms have clear differences in capabilities and network focus. These firms follow different dominating logics of value creation that make them develop in different ways and think totally differently. This research enhances our understanding of the different logics of logistics firms and their interdependence. They are complementary and interacting in the logistics service supply chain. Moving between the basic types of logistics firms means changing the capabilities and network focus, which is costly and difficult. The conceptual framework can be used as a tool to comprehend multiple types of logistics firms. It also helps us to analyze related strategic moves.