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 analysis

canonical correlation analysis

cluster analysis

analysis of covariance structure

multi-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.

As the phenomenon of globalization continues to spark dynamic and controversial debates, managerial agendas around the world are being shaped. Businesses are pressed to respond to the challenges of globalizing competitors. They must enhance profits and generate returns for investors and do so by entering global markets, competing against international rivals, and finding opportunities in a continuously transforming world. Companies are expected to achieve these goals in an environmentally and socially responsible way. Extraordinary opportunities exist for those who can effectively answer the need to globalize, yet it is a complex enterprise with many associated risks. Renowned experts for the INSEAD-Wharton Alliance, Hubert Gatignon and John Kimberly, have collaborated to edit a non-partisan and comprehensive book that looks beyond the broad issues and focuses on the managers' response to the opportunities and challenges of larger, global markets. Relevant and timely as the outspoken debates about globalization continue, the contributors to this volume discuss crucial implications for managers, policy makers and non-governmental organizations.

Market Response and Marketing Mix Models takes a forward-looking perspective identifying research opportunities related to market response and marketing mix models falling under four broad areas: "New" or under-studied inputs and/or "richer" measures of inputs constructs. Explicitly accounting for the process linking inputs to outputs "New" or under-studied dependent variables Under-studied or emerging contexts. Each section covers three broad areas related to marketing mix models - data issues and requirements, methodologies (i.e., traditional econometrics; Bayesian methods; structural models), and substantive findings. As quantitative information about markets and marketing actions has become widely available, modern marketing is presented with both a challenge and an opportunity: how to analyze this information accurately and efficiently, and how to use it to enhance marketing productivity. Market Response and Marketing Mix Models describes the tools needed for achieving these objectives.