Hubert Gatignon – författare

The INSEAD-Wharton Alliance combines the insights of two leading global business schools to examine the forces that are driving firms to globalize, the consequences - positive and negative - that accompany increasing globalization, and their managerial and political implications. Written by experts in diverse management disciplines - including leadership, finance, marketing, and operations management - the book is an important contribution to contemporary business strategy. In contrast to strident and often heavily rhetorical debates, this volume focuses on the managerial strategies involved in globalizing businesses, including leadership, market entry and managing risks. The non-partisan treatment of the issues will be of interest to managers wrestling with the many challenges of globalizing, to policy makers interested in whether and how to either slow or to accelerate the process, and to those in non-governmental organizations concerned with understanding global business challenges.

Making Innovation Las t considers the long term success of a firm. Authored by a trio of top international scholars who present pioneering new work on what it takes to create long term growth, the book examines the internal conditions that are likely to encourage sustainable innovation, as well as what a culture of innovation should look like.

Making Innovation Last considers the long term success of a firm. Authored by a trio of top international scholars who present pioneering new work on what it takes to create long term growth, the book examines the internal conditions that are likely to encourage sustainable innovation, as well as what a culture of innovation should look like.

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on:confirmatory factor analysiscanonical correlation analysiscluster analysisanalysis of covariance structuremulti-group confirmatory factor analysis and analysis of covariance structures.Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications.  It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it.  This third edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, this edition includes:·         A new chapter on the analysis of mediation and moderation effects·         Examples using STATA for most of the statistical methods·         Example of XLSTAT applications Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.