LEGAL KNOWLEDGE AND AGILITY IN PUBLIC ADMINISTRATION

To address agility in public administration, we have developed a knowledge acquisition infrastructure for legal knowledge, based on an implementation‐oriented conceptualization of the legal system. Our objective is to reframe legal knowledge as a knowledge source in a design‐oriented task ontology, building on insights from the CommonKADS methodology for intelligent system design. The main result is to make case law and legal expert knowledge of critical incidents in organizations, two diagnostic knowledge sources underutilized in modern management and engineering, more accessible as a resource for design of agile organizational structures and intelligent systems. Copyright © 2013 John Wiley & Sons, Ltd.     

An exploratory study of organizational politics in Kuwait

Because politics is a way of life in organizations, organizational politics has been studied by several scholars over the past 40 years. Few studies, though, have examined organizational politics outside of the United States and Europe. This study is a further step toward closing that gap. In particular, we (1) examined the applicability of the Perceptions of Organizational Politics Scale (POPS) instrument in Kuwait, (2) examined the perceived existence of organizational politics in a public organization in Kuwait, and (3) sought to determine if perceptions of organizational politics seemed to be influenced by the same variables in Kuwait as in Western societies. The study found that the perception of organizational politics is relatively strong and that the POPS instrument was applicable in the Kuwaiti culture and could lead to an expanded understanding of organizational politics. The gender of the respondents, their tenure, and their current positions had some influence on perceptions of organizational politics. © 2011 Wiley Periodicals, Inc.     

Regional and sectoral dynamics of the Dutch staffing labor cycle

This study analyzes the dynamic characteristics of staffing employment across different business sectors and across different geographical regions in The Netherlands. We analyze a micro data set of the market leader of the Dutch staffing employment market, i.e. Randstad. We apply the dynamic factor model to extract common information out of a large data set and to isolate business cycle frequencies with the aim of forecasting staffing and total employment. We identify regions and sectors whose cyclical developments lead the staffing labor cycle at the country level. The dynamic factor model exploits these leading characteristics at the disaggregate level to forecast the country aggregate. Finally, both dynamic and static factors turn out to be predictive summary statistics of the micro data set when employed to forecast total employment at the country level.     

What does it mean to find the face of the franchise? Physical attractiveness and the evaluation of athletic performance

We show that attractiveness, as measured by facial symmetry, leads to greater rewards in professional sports. National Football League quarterbacks who are more attractive are paid greater salaries and this premium persists after controlling for player performance.     

Turning the page? EU fiscal consolidation in the wake of the crisis

The fiscal cost of the financial and economic crisis in Europe is huge. The paper provides provisional estimates of this cost and looks at its implications for the sustainability of public finances, taking into account also the impact of aging populations. The historical experience suggests that economic growth is persistently lowered in the aftermath of financial crisis, making fiscal consolidation more difficult yet all the more essential. Meanwhile the timing of the exit from fiscal stimulus and subsequent fiscal consolidation must reconcile sustainability and stabilisation goals—a delicate balancing act. The paper will argue in favour of structural reform to boost the economic growth potential alongside fiscal consolidation. The fiscal coordination framework in the EU, together with the Europe 2020 strategy, is seen to underpin this approach.     

Environment versus growth — A criticism of “degrowth” and a plea for “a-growth”

In recent debates on environmental problems and policies, the strategy of “degrowth” has appeared as an alternative to the paradigm of economic growth. This new notion is critically evaluated by considering five common interpretations of it. One conclusion is that these multiple interpretations make it an ambiguous and rather confusing concept. Another is that degrowth may not be an effective, let alone an efficient strategy to reduce environmental pressure. It is subsequently argued that “a-growth,” i.e. being indifferent about growth, is a more logical social aim to substitute for the current goal of economic growth, given that GDP (per capita) is a very imperfect indicator of social welfare. In addition, focusing ex ante on public policy is considered to be a strategy which ultimately is more likely to obtain the necessary democratic-political support than an ex ante, explicit degrowth strategy. In line with this, a policy package is proposed which consists of six elements, some of which relate to concerns raised by degrowth supporters.     

Industry dynamics: Foundations for models with an infinite number of firms

This paper explores the connection between three important threads of economic research offering different approaches to studying the dynamics of an industry with heterogeneous firms. Finite models of the form pioneered by Ericson and Pakes (1995) capture the dynamics of a finite number of heterogeneous firms as they compete in an industry, and are typically analyzed using the concept of Markov perfect equilibrium (MPE). Infinite models of the form pioneered by Hopenhayn (1992), on the other hand, consider an infinite number of infinitesimal firms, and are typically analyzed using the concept of stationary equilibrium (SE). A third approach uses oblivious equilibrium (OE), which maintains the simplifying benefits of an infinite model but within the more realistic setting of a finite model. The paper relates these three approaches. The main result of the paper provides conditions under which SE of infinite models approximate MPE of finite models arbitrarily well in asymptotically large markets. Our conditions require that the distribution of firm states in SE obeys a certain “light-tail” condition. In a second set of results, we show that the set of OE of a finite model approaches the set of SE of the infinite model in large markets under a similar light-tail condition.