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The central organizing principle for this volume – the industry life cycle model – is so widely accepted and its basic premises so taken for granted that it has become conventional wisdom in business. Executives in a range of industries use the model to guide their thinking about when and how to invest in various industries. Diversification decisions, for example, are often made on the basis of life cycle logic, especially as large, established companies seek high-growth opportunities for investment.

Since at least the 1970s, the American research university system has experienced episodic periods of austerity, frequently accompanied by expressions of concern about the threats that these conditions pose to U.S. scientific and technological leadership. In general, austerity has been tied to fluctuations in Federal Government funding of academic research and macroeconomic fluctuations that have shrunk state government budget revenues. Even amidst these episodes, the system has continued to expand and decentralize. The issue at present is whether this historic resiliency, of being a marvelous invalid, will overcome adverse contemporary trends in Federal and state government funding, as well as political trends that eat away at the societal bonds between universities and their broader publics. The paper juxtaposes examinations of the organizational and political influences that have given rise to the American research university system, trends in research revenues and research costs, and contemporary efforts by universities to balance the two. It singles out the secular decline in state government’s support of public universities as the principal reason why this period of contraction is different from those of the past. Rather though then these trends portending a market shakeout, as some at times have predicted, the projection here is that the academic research system will continue to be characterized by excess capacity and recurrent downward pressures on research costs. Because the adverse impacts are concentrated in the public university sector, they may also spill over into political threats to the current system of awarding academic research grants primarily via competitive, merit review arrangements.

During the past decade, sub-national government agencies in the late industrialized nations have taken on greater responsibilities in the area of economic and industrial planning. This has been especially true in Mexico where fiscal and planning decentralization, shifting local politics, the recent entry into the North American Free Trade Agreement (1995), the peso crisis and resulting job-loss (1995–1997) and the latest wave of investment opportunities (in part an outgrowth of NAFTA) have, to varying degrees, facilitated greater intervention in the local economy by state-level planning and development authorities. Since the mid-1990s most state governments in Mexico have substantially increased the number of staff and working budgets of their economic development ministries.

Past entrepreneurship research has emphasized the importance of the context of the entrepreneur (e.g., personality) along with environmental characteristics as predictors of the success of new ventures. Additional literature has expanded our understanding of how implementation processes such as business planning, social networking, and external financing may be key to new venture performance. This paper offers 12 propositions that link these two literatures. Specifically, we argue that the personality and goals of the entrepreneur, as well as the dynamism and munificence of the environment, may affect how well implementation processes enhance new venture performance.

Purpose – In this chapter, copula theory is used to model dependence structure between hedge fund returns series.

Methodology/approach – Goodness-of-fit tests, based on the Kendall's functions, are applied as selection criteria of the “best” copula. After estimating the parametric copula that best fits the used data, we apply previous results to construct the cumulative distribution functions of the equally weighted portfolios.

Findings – The empirical validation shows that copula clearly allows better estimation of portfolio returns including hedge funds. The three studied portfolios reject the assumption of multivariate normality of returns. The chosen structure is often of Student type when only indices are considered. In the case of portfolios composed by only hedge funds, the dependence structure is of Franck type.

Originality/value of the chapter – Introducing goodness-of-fit bootstrap method to validate the choice of the best structure of dependence is relevant for hedge fund portfolios. Copulas would be introduced to provide better estimations of performance measures.

This chapter investigates the relevance of accounting and other information to valuing Internet IPOs during the years 1998–2000 in Europe and the United States. We show that market value is negatively related to net income in the Internet bubble period before April 1, 2000 in both European and U.S. IPO markets. This is consistent with an Internet firm’s start-up expenditures being considered as assets, not as costs. Furthermore, for the U.S. IPO market, we find that free float is value relevant during the Internet bubble. Underwriters and issuers restricted the supply of shares at the IPO. This drove up market prices as investors were keen to buy Internet IPO shares.

This chapter employs institutional theory and the demand-side approach to discuss the entry of new companies into industries. Theory and empirical evidence provides support for the hypothesis that the industry stage of development is the primary factor that determines whether a company should use innovation or imitation as an entry wedge. The evidence suggests that innovation is most often used successfully during the introduction and decline stages of industry development. Imitation is most often used successfully during the growth stage of industry development. During the mature phase both innovation and imitation are used, but usually with limited success.

Purpose – This chapter is intended to encourage comparative-historical research in strategy by articulating a framework for the study of industry and firm evolution.

Design/methodology/approach – Strategy research at its core tries to explain sustained performance differences among firms. This chapter argues that one, out of the many ways to create a productive marriage between strategy research and historical scholarship, is to carry out historically informed comparative studies of how firms and industries gain and lose their competitive position. While much of current strategy research adopts a large N hypothesis testing mode with the implicit assumption that one discovers generalization just like a Newtonian law such as F=m×a that applies across all space and time, an historically grounded methodology starts from the opposite direction. It assumes that a process or event may be idiosyncratic and therefore seeks to establish with detailed evidence that a 2nd (and later 3rd, 4th, … nth) process or event is indeed similar before generalizing across observations.

Findings/originality/value – The chapter argues that the field of strategy would benefit from allocating more effort on building causal generalizations inductively from well-researched case studies, seeking to establish the boundary conditions of emerging generalizations. It articulates a comparative research program that outlines such an approach for the arena of industry and firm evolution studies.

We investigate how online price dispersion has evolved since the bursting of the Internet bubble by comparing price dispersion levels in years 2000, 2001, and 2003 and between multi-channel and pure play e-tailers. The results show that although online price dispersion declined between 2000 and 2001 when there was a shakeout in Internet retailing, it increased from 2001 to 2003, the post bubble period, in particular, for desktop computers, laptop computers, PDAs, electronics and software. The proportion of items for which price dispersion at multi-channel retailers was higher than that at pure play e-tailers, increased steadily during 2000–2003. These findings suggest that online price dispersion is persistent even as Internet markets mature.