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In Venture Capital Investors and Portfolio Firms venture capital firms are considered as investors in young growth-oriented companies. The authors focus on the later phases of the venture capital (VC) investment process. They therefore emphasize monitoring, value adding, and exiting activities. They also include a review of the literature on the outcome of venture capital investment activities. Research findings are drawn principally from refereed journal papers in entrepreneurship, finance, and management. The monograph is divided into six principal areas: 1. What venture capital firms do. 2. The impact of VCs on portfolio firms and other stakeholders. 3. The role of syndication. 4. The nature and timing of exit from VC investments. 5. The role of VCs in portfolio companies that undergo an initial public offering (IPO). 6. The returns from investing in VC. Venture Capital Investors and Portfolio Firms concludes with a detailed agenda for further research. To aid the reader who wishes to pursue particular papers in more detail, the authors provide a summary of the main papers in this literature in a set of tables where they identify the authors, publication date, the journal, the main research question, the theoretical perspective, data, and the principal findings.

The central theme of Competition and Cost Accounting is that strategic considerations may make it desirable for a firm to have divisions and Product managers internalize something other than their true costs.

Provides a comprehensive comparison of the GEM and GEDI approaches by using both methods side by side to analyse entrepreneurship development; and offers the GEM community a useful example on how the GEM and the GEDI methodologies can be successfully combined to allow for a more in-depth country analysis of entrepreneurial performance.

Shows how RFID has transformed the supply chain over the last decade and examines the manufacturing, logistics and retail aspects of RFID. The authors describe a vision of an "Internet of Things", where each participating object has a digital shadow with related information stored in cyberspace.

Describes the current landscape of text analytics in finance. Coverage includes how text is extracted from web sites and services; the basics of text analytics; the analytics of text classification; the performance of text analytic algorithms; and the empirical literature on text mining in finance and the commercialization of textual analytics.

Shows why failing to consider the alternative hypothesis often leads to incorrect conclusions. The book shows that for most standard econometric estimators, it is not difficult to compute the proper probabilities using Bayes theorem. Simple formulas that require only readily available information in standard estimation reports are provided.

Explores questions of how consumers should manage their financial affairs and how the market can educate and aid consumers in making better financial decisions. The objective of of this book is to bring together the scientific knowledge of this topic in a systematic way to improve our understanding and provide insights into this behaviour.

The purpose of this volume is to explain how semicollusion works in theory, describe empirical studies of semicollusion, and discuss the possible welfare effects of semicollusion. The volume provides a framework for understanding the mechanism at work with semicollusion and reviews the different approaches in the literature to this topic.

Offers a survey of the science and practice of web crawling. This survey outlines the fundamental challenges and describes state-of-the-art models and solutions. It also highlights avenues for future work.

Provides an overview of the historical development of statistical network modelling and then introduces a number of examples that have been studied in the network literature. Subsequent discussions focus on a number of prominent static and dynamic network models and their interconnections.

Discusses why marketing has been perceived as being less relevant for innovation strategy and explains how this can be remedied. The book reviews the role marketing plays at the early phases of innovation management when decisions are being made on new products and services.

This two-part work is both a tutorial on and a historical survey of linear predictive coding and the internet protocol.

Provides a comprehensive review of the literature on economic models of national brand - store brand competition. The authors review 47 studies published between 1966 and 2011, and report over 160 results. More importantly, the focus is exclusively on the analytical models that give rise to those results.

Presents a new approach to the study of accounting measurement and disclosure that challenges the existing accounting literature. This approach argues that how firms' economic transactions, earnings, and capital flows are measured and reported to the capital markets has substantial effects on the allocation of resources in the economy in general.

Explores the copula approach for econometrics modeling of joint parametric distributions and demonstrates that practical implementation and estimation is relatively straightforward despite the complexity of its theoretical foundations.

Provides a discussion of the adjustment of risk references and how to go about making such adjustments to a common scale. By adjusting all information to this common scale, results can be easily summarized and compared, and the body of information concerning risk aversion can be examined as a whole rather than as individual parts.

Surveys the emerging area of algorithms for processing data streams and associated applications. An extensive bibliography with over 200 entries points the reader to further resources for exploration.

Investigates two sets of assumptions about the nature of opportunities, the nature of entrepreneurs, and the nature of the decision making context within which entrepreneurs operate. This book suggests that these two sets of assumptions constitute logically consistent theories of entrepreneurship.

Explores the applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background.

Offers an introductory, non-technical overview of what economics adds to our understanding of entrepreneurship. The author identifies issues that can be resolved using economic analysis, and presents the theoretical and empirical models that form the intellectual foundations of the economics of entrepreneurship.