Negotiation support using the Graph Model for Conflict Resolution

The Graph Model for Conflict Resolution is a flexible methodology for systematically studying strategic conflicts in the real world, and is therefore a natural tool for negotiation support. The basic definitions underlying the graph model are reviewed, and the techniques for analysis and interpretation are discussed. The modeling and analysis of a case study, an international trade negotiation concerning the export of Canadian softwood lumber to the United States, are used to demonstrate the practical application of the Graph Model for Conflict Resolution as a negotiation support tool. The modeling and analysis is carried out using the GMCR software system. The ability of the Graph Model for Conflict Resolution to provide insights and advice to negotiators is emphasized.     

Team Rewards: How Far Have We Come?

Although many organizations find teams to be important to their success, few have implemented reward systems that encourage team effort. This study examines the practices of 35 firms using team‐based reward programs and identifies some features of these programs that improve their effectiveness. The results indicate that the most valued programs were those associated with (1) high levels of communication to employees about the specifics of the plan, (2) strong worker involvement in the plan's design and implementation, and (3) team members' perceptions that the pay system was fair. HR managers considered more complex plans more beneficial than simple plans. © 2001 John Wiley & Sons, Inc.     

An Australian Response to Recent Developments in the Market for Audit Services

Where the quality (both competence and independence) of an audit is tested, often in the circumstance of a corporate failure, auditors frequently have good defences as to their competency but rarely do they have equally convincing defences for the objectivity of their decisionmaking or the independence of their audit. This paper recommends that large audit firms establish an independence board with the authority to define, review and decide upon all threats and potential threats to independence. It would also have responsibility for quality-control and educational programs in respect of audit firm's independence decision-making.     

Understanding the Economic Factors Influencing Farm Policy Preferences

A survey conducted in Mississippi, Texas, Indiana, and Nebraska elicited producers' preferences for various farm policy changes. This permitted examination of the diversity of preferences that single-state studies have not allowed. Five policy choices, including deficiency payments, loan programs, crop insurance, export programs, and disaster payments were examined. Logit model results predicting producer preferences for each of the five dichotomous policy choices are reported. Explanatory variables based on expected utility theory such as risk aversion, price and yield variability, and price–yield correlation are significant in various models.     

THE LOCATION OF NONMETROPOLITAN HIGH-TECH INDUSTRIES: A Comparison of Regional Determinants

A study of the location of three classifications of high-tech industries in rural areas was undertaken using ordinary least squares, Tobit, and a two-step estimation procedure suggested by Heckman (1976). The results indicate that the location decision for high tech firms is influenced primarily by the county population, adjacency to an SMSA, and the expenditures on public infrastructure (exclusive of education expenditures). However, location near interstate highways was generally not a significant factor. Results were similar between branch and unit (single ownership) plants. Some differences in signs of orders of magnitude occurred among the estimation procedures. Making a choice between Tobit and Heckman approaches depends upon the goal of the research.     

Revisiting the Roots of Japan's Economic Stagnation: The role of the Japanese corporation

For a long period in the 20th century, the development of the Japanese corporation appeared congruent with the development of the Japanese economy. The growth-maximising behaviour of the Japanese corporation and the preference for internal growth over acquisitions (see Odagiri, 1992) appeared to suit the long-term ambitions of Japan. Now, that formerly clear connection between the ambitions of corporate Japan and the Japanese public interest is no longer so clear. Increasingly, the global ambitions of the corporation appear as an impediment to Japan's economic development. By favouring the development of large-scale transnational corporations, Japanese industrial policy-making appears to have contained a fundamental flaw. Japan is now dominated by large-scale organisations with global ambitions, controlled by corporate elites. It is unlikely that their strategic decisions will correspond with the wider public interest, which raises the possibility that Japan is now afflicted with 'strategic failure'. Other examples from around the world suggest that Japan is not unique in this respect. Alternative ways forward are suggested.     

Background Risk and the Performance of Insurance Markets under Adverse Selection

Background risk can influence the performance of insurance markets that must deal with adverse selection when applicants are risk vulnerable, since they are more averse to bearing the insurable risk as a result of their exposures to background risk. We show that background risk always results in a lower deductible for the incentive constrained contract, and that a broader range of markets attains the stable sequential equilibrium cross-subsidized pair of separating contracts. We conclude that background risk always improves the performance of markets for coverage against (insurable) foreground risks that must deal with adverse selection. We also find, however, that these improvements are never sufficient to offset the cost to insureds of bearing the background risk.     

Modeling Conditional Yield Densities

Given the increasing interest in agricultural risk, many have sought improved methods to characterize conditional crop-yield densities. While most have postulated the Beta as a flexible alternative to the Normal, others have chosen nonparametric methods. Unfortunately, yield data tends not to be sufficiently abundant to invalidate many reasonable parametric models. This is problematic because conclusions from economic analyses, which require estimated conditional yield densities, tend not to be invariant to the modeling assumption. We propose a semiparametric estimator that, because of its theoretical properties and our simulation results, enables one to empirically proceed with a higher degree of confidence.