Work values as “reinforcer groupings”

This study was conducted to examine whether the same underlying structure of occupational reinforcers (denoted the structure of work values) turns out when three different data analysis methods are used. A questionnaire requesting a respondent to indicate the importance of each of 21 occupational reinforcers was administered to 546 subjects, drawn so as to constitute a representative sample of the urban adult Jewish Israeli population. Factor analysis, Guttman's smallest space analysis, and cluster analysis were each applied to the subjects' responses from the questionaires, essentially resulting in different work values structure. Comparisons were made and theoretical implications have been discussed.     

Stochastic Common Learning

We present a general model in which agents learn by observing a stochastic process. We show that agents not only learn in such a model but also learn commonly. By this we mean that in the long run agents will form common beliefs concerning important facts and in particular they will commonly believe that their views regarding the future are similar. Journal of Economic Literature Classification Numbers: C72, C73, D82.     

Between liberalism and democracy

We study and characterize axiomatically a class of voting rules, called consent rules, that incorporate aspects of majoritarianism and liberalism. An outcome of the vote specifies who among the voters are eligible to a certain right or qualification. Each outcome serves also as a permissible ballot. Consent rules are parameterized by the weights given to individuals in determining their own qualification. In one of these rules, the liberal rule, each individual's qualification is determined by her. In other rules, an individual's qualification requires social consent in various degrees. We also show the relation between self-determination and the liberal rule.     

System modeling of the R&D domain through the object–process methodology: a practical tool to help R&D satisfy its customers' needs

Research and Development is an intricate process involving a host of challenging technological frontiers. This paper presents a practical tool to help R&D personnel satisfy the needs of customers by a systematic evaluation of R&D performance. To establish a sound methodology for R&D performance evaluation, we employ the object-process analysis (OPA) part of the object–process methodology. Using OPA, we gradually expose the constituents of the R&D system, its environment and the interaction between them. Through this systematic top-down refinement, we provide a comprehensive generic view of the R&D domain. The framework presented in the paper allows the user to describe, order, and inter-relate the issues that R&D managers should consider when managing, evaluating and planning R&D. As the approach addresses structure and behaviour in a unified, integrated manner, the analysis provides insights into both the static and dynamic aspects of the R&D domain and establishes a solid basis for its enterprise modeling.     

A bicriteria approach to maximize the weighted number of just-in-time jobs and to minimize the total resource consumption cost in a two-machine flow-shop scheduling system

We analyze a two-machine flow-shop scheduling problem in which the job processing times are controllable by the allocation of resources to the job operations and the resources can be used in discrete quantities. We provide a bicriteria analysis of the problem where the first criterion is to maximize the weighted number of just-in-time jobs and the second criterion is to minimize the total resource consumption cost. We prove that although the problem is known to be NP-hard even for constant processing times, a pseudo-polynomial time algorithm for its solution exists. In addition, we show how the pseudo-polynomial time algorithm can be converted into a two-dimensional fully polynomial approximation scheme for finding an approximate Pareto solution.     

Policy globalization and the “information society”: a view from Canada

The Canadian example suggests that recent shifts in communication policy frameworks should be understood as a transformation in how technology is organized politically, and not simply as a policy reaction to technological innovation. The process is tracked chronologically in three sections: institutional renewal (1993–1994); accelerated vertical slippage between national, regional and global policy levels (1995–1996); and horizontal dispersal of communication policy into new other sectors (1997). Across these stages, a series of convergences characterized by increased fluidity between territorial as well as sectoral jurisdictions are discussed; implications for the understanding of communication policy frameworks within the context of the “information society” project are identified.     

Identifying critical success factors in defense development projects: A multivariate analysis

The main goal of this article is to identify managerial variables that are critical to the success of defense projects. This study analyzes 110 defense projects executed in Israel over the last 20 years. Some 400 managerial variables were collected, and 20 measures of success derived for each project. Multivariate analysis is employed to account simultaneously for the diverse attributes of projects' success.The major results of this study are: (1) in the military environment, the more urgent is the perceived need for the project's output, the greater is the project's chance to succeed; (2) the customer follow-up team has a major role in determining project success—especially important are the team members' professional qualifications and sense of responsibility for project success and the stability of key personnel; (3) defense projects are often technologically challenging; proven technological feasibility at the start of a project is critical to its success; (4) attention to design considerations (produceability, quality, reliability, and design to cost) in the early phases of development are critical to project success; and (5) the professional qualifications and team spirit of the development team are highly correlated with success.     

The relative importance of project success dimensions

Traditionally, the success of a project is assessed using internal measures such as technical and operational goals, and meeting schedule and budget. More recently, it has been recognized that several other measures should be used to define project success. These measures reflect external effectiveness: the project's impact on its customers, and on the developing organization itself.
In our study of 110 defense projects performed by Israeli industry, we used a multidimensional approach to measure the success of defense projects. Based on previous studies, we defined four dimensions of success: meeting design goals ; benefits to the customer ; benefits to the developing organization ; and benefits to the defense and national infrastructure . For each project, we asked three different stakeholders (the customer, the developing organization, and the coordinating office within the Ministry of Defense) for their views on the relative importance of these dimensions of success. Analysis of the data revealed that the dimension benefits to the customer is by far the most important success dimension. The second in importance is meeting design goals . The other two dimensions are relatively unimportant.     

The least core, kernel and bargaining sets of large games

Summary. We study the least core, the kernel and bargaining sets of coalitional games with a countable set of players. We show that the least core of a continuous superadditive game with a countable set of players is a non-empty (norm-compact) subset of the space of all countably additive measures. Then we show that in such games the intersection of the prekernel and the least core is non-empty. Finally, we show that the Aumann-Maschler and the Mas-Colell bargaining sets contain the set of all countably additive payoff measures in the prekernel. Received: June 6, 1996; revised version: March 1, 1997