Soviet all-union enterprises as new multinationals of the CIS

This paper examines the restructuring of the former Soviet economy provoked by the break-up of the USSR and the creation of the Commonwealth of Independent States. Particular attention is devoted to the changes taking place in the former All-Union enterprises that have now essentially become new multinationals. The pressures influencing the two parallel developments of internalization and divestment are examined and illustrated using two case studies. © 1993 John Wiley & Sons, Inc.     

Social network analysis in accounting information systems research

This paper introduces social network analysis as an alternative research method for conducting accounting information systems related research. With advances in information and communication technologies, transaction data are being recorded in electronic form, resulting in a variety of research opportunities to examine dyadic interactions. A network consists of a set of nodes connected by ties. Social network research focuses on how outcomes are influenced not just by the attributes of the nodes (e.g. individuals), but also by the ties connecting nodes to each other. The nodes are typically conceptualized as actors, such as individuals, teams, or organizations. A unique network structure is created to reflect each different type of tie, such as trust, advice, collocation, or organizational affiliation. Social network analysis can be used for research examining individual, dyadic or network levels of analyses, and is a powerful tool for conducting multi-method research. Given the vast amounts of trace electronic data collected via accounting information systems, this paper reviews how social network analysis not only opens new research avenues for accounting information systems researchers, but identifies opportunities for the field of accounting information systems to inform social network research by identifying new network structures and dynamics leveraging transactional data.     

CARE/CEASA Roundtable on Managing Uncertainty and Risk

Two distinguished Morgan Stanley “alumni” discuss how their management of risk and uncertainty has not only preserved but increased the profitability of their businesses. In both cases—one involving a commodities trading operation and the other a long‐short hedge fund—the key has been to find cost‐effective ways to “cut off the left tails” of the distribution by avoiding naked long or short positions and creating option‐like payoffs with limited downside. In the case of the hedge fund, the combination of longs and shorts with the use of other risk‐reducing strategies has enabled the fund's managers to produce twice the market's returns with only half the volatility (and only one losing year) during the 18‐year life of the fund. In the case of the commodities trading operation, the strategy is described as combining ownership of physical assets with the use of option pricing models to create what amount to “long gamma positions in the asset” that “produce payoffs regardless of whether the asset goes up or down in value.”     

Relationship equity and switching behavior in the adoption of new telecommunication services

This paper first defines and then presents a model of “relationship equity” for business markets. It points out that the potential benefits of managing relationship equity have been largely ignored and that a general model and stream of relevant research questions could be useful to marketing and relationship practitioners. The model developed considers the special case of key account management as antecedent, two different types of moderator variables, relationship equity as a perception by the buyer, and switching behavior via adoption of new telecommunication services as a result of this perception. The model is used as a basis for developing a number of working propositions.     

CHILD MENTAL HEALTH AND EDUCATIONAL ATTAINMENT: MULTIPLE OBSERVERS AND THE MEASUREMENT ERROR PROBLEM

We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational progress. Our contribution is to use unique UK survey data that contain (potentially biased) assessments of each child's mental state from three observers (parent, teacher and child), together with expert (quasi‐)diagnoses, using an assumption of optimal diagnostic behaviour to adjust for reporting bias. We use three alternative restrictions to identify the effect of mental disorders on educational progress. Maternal education and mental health, family income and major adverse life events are all significant in explaining child mental health, and child mental health is found to have a large influence on educational progress. Our preferred estimate is that a one‐standard‐deviation reduction in ‘true’ latent child mental health leads to a 2‐ to 5‐month loss in educational progress. We also find a strong tendency for observers to understate the problems of older children and adolescents compared to expert diagnosis. © 2015 The Authors. Journal of Applied Econometrics published by John Wiley & Sons, Ltd.     

Semi-quantitative risk assessment method for product management

The workshop presented a semi-quantitative risk assessment technique that can be used to judge the total risk on all undesired consequences/events for a product manufacturing operation. The technique requires an experienced team to judge risk utilizing a numerical rating system that, although arbitrarily chosen, is self consistent and provides a relative assessment of product manufacturing risk. Once calculated, the risk is compared to the product's net income for making risk management and product planning decisions. The workshop included an exercise where all participants could try the technique.