Naive-Bayes induction algorithms were previously shown to be surprisingly accurate on many classification tasks even when the conditional independence assumption on which they are based is violated. However, most studies were done on small databases. We show that in some larger databases, the accuracy of Naive-Bayes does not scale up as well as decision trees. We then propose a new algorithm, NBTree, which induces a hybrid of decision-tree classifiers and Naive-Bayes classifiers: the decision-tree nodes contain univariate splits as regular decision-trees, but the leaves contain Naive-Bayesian classifiers. The approach retains the interpretability of Naive-Bayes and decision trees, while resulting in classifiers that frequently outperform both constituents, especially in the larger databases tested.

We propose a new theoretical framework for understanding simultaneous trust and distrust within relationships. grounded in assumptions of multidimensionality and the inherent tensions of relationships. and we separate this research from prior work grounded in assumptions of unidimensionality and balance. Drawing foundational support for this new framework from recent research on simultaneous positive and negative sentiments and ambivalence. we explore the theoretical and practical significance of the framework for future work on trust and distrust relationships within organizations.

The authors would like to thank the following people for their extensive comments,

A number of potential advantages of industry agglomeration—or spatial clustering—have since long been identified in the research literature, notably related to shared costs for infrastructure, the build up of a skilled labour force, transaction efficiency, and knowledge spill-overs leading to firm learning and innovation. We identify two shortcomings of existing research on the clustering phenomenon. First, the abundance of theoretical concepts stands in sharp contrast with the general lack of work aiming to validate these mechanisms empirically and the contradictory evidence found in recent empirical work in the field. Secondly, there is a lack of a unified theoretical framework for analyzing spatial clustering. In an attempt to remedy the second shortcoming, this paper investigates the nature of the cluster from a knowledge creation or learning perspective. We argue for the need to establish a specific theory of the cluster where learning occupies center stage. The basic requirements for such a theory of the cluster are discussed. Two main components of such a theory are identified: it must explain the existence of the cluster on the one hand and its internal organization on the other.

Abstract The emerging electronic economy is bringing with it new forms of IT-enabled intermediation, virtual supply chains, rapidly changing electronic commerce technologies, increasing knowledge intensity, and unprecedented sensitivity for time-to-market by customers. Customers are demanding more value, customized to their exact needs, at less cost, and as quickly as possible. The enterprises that will survive in such a demanding environment will need to innovate and invent new ways of creating value, and will require different enterprise architectures and different IT infrastructures. This article focuses on providing a framework for guiding an enterprise as it transforms itself to function more effectively in the electronic economy. Using the distribution industry in general and Marshall Industries in particular as a context, the article draws insights for transforming an extended enterprise's architecture and its IT infrastructure to enable new ways of creating value in ...

Most extant knowledge management systems are constrained by their overly rational, static and acontextual view of knowledge. Effectiveness of such systems is constrained by the rapid and discontinuous change that characterizes new organizational environments. The prevailing knowledge management paradigm limits itself by its emphasis on convergence and consensus-oriented processing of information. Strategy experts have underscored that the focus of organizational knowledge management should shift from `prediction of future' [that cannot be computed] to `anticipation of surprise.' Such systems may be enabled by leveraging the divergent interpretations of information based upon the meaning-making capability of human beings. By underscoring the need for synergy between innovation and creativity of humans and the advanced capabilities of new information technologies, this article advances current thinking about knowledge management.

Information systems technology, computer-supported cooperative work practice, and organizational modeling and planning theories have evolved with only accidental contact to each other. Cooperative information systems is a relatively young research area which tries to systematically investigate the synergies between these research fields, driven by the observation that change management is the central issue facing all three areas today and that all three fields have indeed developed rather similar strategies to cope with change. In this paper, we therefore propose a framework which views cooperative information systems as composed from three interrelated facets, viz. the system facet, the group collaboration facet, and the organizational facet. We present an overview of these facets, emphasizing strategies they have developed over the past few years to accommodate change. We also discuss the propagation of change across the facets, and sketch a basic software architecture intended to support the rapid construction and evolution of cooperative information systems on top of existing organizational and technical legacy. 1.

Institutional entrepreneurship implicit in a firm's sponsorship of its technology as a common standard is beset by several challenges. These challenges arise from a standard's property to enable and constrain even as potential competitors agree to cooperate on its creation. Our exploration of Sun Microsystems's sponsorship of its Java technology suggests that standards-in-the-making generate seeds of selfdestruction.

In this paper I argue that corporate finance theory, empirical research, practical applications, and policy recommendations are deeply rooted in an underlying theory of the firm. I also argue that although the existing theories have delivered very important and useful insights, they seem to be quite ineffective in helping us cope with the new type of firms that is emerging. I outline the characteristics that a new theory of the firm should satisfy and how such a theory could change the way we do corporate finance, both theoretically and empirically. FOR A RELATIVELY YOUNG RESEARCHER like myself, there is a very strong tendency to look at the history of corporate finance and be overwhelmed by the giants of the recent past. A field that 40 years ago was little more than a collection of cookbook recipes that reflected practitioners ’ common sense is today a bona fide discipline, taught not only to future practitioners but also to doctoral students, both in business schools and in economic departments—a discipline whose ideas are now influencing other areas of economics, such as

This report also discusses attestation services for assertions other than those contained within financial statements