Journal Guide

The mission of the Academy of Management Annals is to provide periodic, comprehensive examinations of recent advances in multiple management fields. Each yearly volume features critical reviews of the research, written by leading management scholars. Through these systematic analyses, the Annals summarize previously established studies and concepts, pinpoint potential problems (such as factual errors), and inspire new discussions and directions for further research activity.Suggestions for topics and authors are welcomed. They should be sent to the Senior Editor: Royston Greenwood at royston.greenwood@ualberta.ca .The Academy of Management is proud to announce the fifth volume of The Academy of Management Annals . This exciting series follows one guiding principle: the advancement of knowledge is possible only by conducting a thorough examination of what is known and unknown in a given field. Such assessments can be accomplished through comprehensive, critical reviews of the literature—crafted by informed scholars who determine both when a line of inquiry has gone astray, and how to steer the research back onto the proper path.The Academy of Management Annals provide just such essential reviews. Written by leading management scholars, the reviews are invaluable for ensuring the timeliness of advanced courses, for designing new investigative approaches, and for identifying faulty methodological or conceptual assumptions. The Academy of Management Annals strive each year to synthesize a vast array of primary research, recognizing past principal contributions while illuminating potential future avenues of inquiry.Academic scholars in management and allied fields (e.g., sociology of organizations and organizational psychology) will see The Academy of Management Annals as a valuable resource to turn to for comprehensive, up-to-date information—published in a single volume every year by the preeminent association for management research.Volume 5 of The Academy of Management Annals continues to review research literature across a variety of areas incorporating: technological innovation; negotiation and gender inequality; staffing practices; person-environment fit; turnover and retention research; organizational competition and cooperation; work-family initiatives; power and status in social hierarchies; behavioural decision research; systematic research synthesis in management; entrepreneurship and ethical decision making.'It’s an exceptional volume—and exceptionally timely to boot. I found myself trying to put this new Annals in perspective. I tried, in particular, to cast a rather hard and critical light on this volume: Just how essential is it for the time-starved and besieged scholar to have yet another thing to keep up with? Do we really need, in short, yet another annual volume? The answer I gave myself to this question was a resounding, ‘‘Yes!’’'Review in International Public Management Journal (2008)DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Artificial Intelligence and Law is an international forum for the dissemination of original interdisciplinary research in the following areas: Theoretical or empirical studies in artificial intelligence (AI), cognitive psychology, jurisprudence, linguistics, or philosophy which address the development of formal or computational models of legal knowledge, reasoning, and decision making. In-depth studies of innovative artificial intelligence systems that are being used in the legal domain. Studies which address the legal, ethical and social implications of the field of Artificial Intelligence and Law.Topics of interest include, but are not limited to, the following: Computational models of legal reasoning and decision making: judgmental reasoning, adversarial reasoning, case-based reasoning, deontic reasoning, and normative reasoning. Formal representation of legal knowledge: deontic notions, normative modalities, rights, factors, values, rules. Jurisprudential theories of legal reasoning. Specialized logics for law. Psychological and linguistic studies concerning legal reasoning. Legal expert systems: statutory systems, legal practice systems, predictive systems, and normative systems. AI and law support for legislative drafting, judicial decision-making, andpublic administration. Intelligent processing of legal documents: conceptual retrieval of cases and statutes, automatic text understanding, intelligent document assembly systems, hypertext, and semantic markup of legal documents. Intelligent processing of legal information on the World Wide Web, legal ontologies, automated intelligent legal agents, electronic legal institutions, computational models of legal texts. Ramifications for AI and Law in e-Commerce, automatic contracting and negotiation, digital rights management, and automated dispute , resolution. Ramifications for AI and Law in e-governance, e-government, e-Democracy, and knowledge-based systems supporting public services, public dialogue and mediation. Intelligent computer-assisted instructional systems in law or ethics. Evaluation and auditing techniques for legal AI systems. Systemic problems in the construction and delivery of legal AI systems. Impact of AI on the law and legal institutions. Ethical issues concerning legal AI systems. In addition to original research contributions, the Journal will include a Book Review section, a series of Technology Reports describing existing and emerging products, applications and technologies, and a Research Notes section of occasional essays posing interesting and timely research challenges for the field of Artificial Intelligence and Law. Financial support for the Journal of Artificial Intelligence and Law is provided by the University of Pittsburgh School of Law.

Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.