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Ebook Strategic Benefits Of Corporate Venture Capital: The Case Of Industrial Companies

Identifying, selecting and exploiting the right new business opportunities are the essence of entrepreneurial activities and among the most important abilities of a successful entrepreneur. Shane and Venkataraman (2000) define entrepreneurship as the processes of discovery, evaluation, and exploitation of opportunities in order to create future goods and services. In broad terms, Ardichvili, et. al (2003) define an opportunity as “the chance to meet a market need (or interest or want) through a creative combination of resources to deliver superior value. Eckhardt and Shane (2003) define entrepreneurial opportunities as those “situations in which new goods, services, raw materials and organizing methods can be introduced through the formation of new means, ends, or means-ends relationships”.

According to Burgelman (1983), corporate entrepreneurship refers to “the process whereby firms engage in diversification through internal development”. This diversification often requires new resources combinations to extend the firm's activities in areas dissimilar, or marginally similar, to its current domain of competence and corresponding opportunity set. Sharma and Chrisman (1999) define a corporate entrepreneurship as “the process whereby an individual or a group of individuals, in association with an existing organization, create a new organization or instigate renewal or innovation within that organization”. In large established Firms, corporate entrepreneurship is an important tool for business development, revenue growth and as a promising path to enhance financial returns (Miles and Covin, 2002) and contribute to the achievement of some company’s strategic objectives (Rind, 1981). Corporate entrepreneurship is characterized by the use of internal or external corporate venturing to pursue innovation opportunities (Chesbrough, H., 2000).

Ebook Asymmetric information, wage dispersion and unemployment fluctuations

It has been widely acknowledged that the standard matching model introduced by Mortensen and Pissarides (1994) or Pissarides (2000) adequately explains how the labor market functions. This model does however involve at least two major problems. First, unemployment and vacancies are as volatile as labor productivity yet the aggregate data reveals that these numbers are much higher by a factor of 10. Second, an inspection of various micro databases reveals that mean wage is at least twice as high as minimum wage, yet the basic model predicts they should be approximately equal. In inequality literature, this particular measure, also known as the mean-to-min ratio, has not acquired its popularity but proves to be the most relevant wage dispersion measure because the worker’s outside option determines the lowest wage paid while the average wage can easily be computed as wage generally follows a particular distribution function.

Why do policymakers care about unemployment volatility and wage dispersion? It is well known that the former affects the determination of employment; depreciates human capital; causes productive and social externalities; and job loss, often associated with major source of income risk to individuals. The later, as Mortensen (2003) reminds us, is a major source of wage difference among workers with similar characteristics such as education, experience, race, gender, etc.; reflects differences in marginal productivity of labor across employers rather than workers; and makes it easier to understand the efficiency of the process by which workers are allocated to jobs.

Ebook The Timing of Monetary Policy Shocks

An important branch of the macroeconomics literature is motivated by the questions of whether, to what extent, and why monetary policy matters. As concerns the first two questions, substantial empirical work has led to a broad consensus that monetary shocks do have real effects on output. Moreover, the output response is persistent and occurs with considerable delay: The typical impulseresponse has output peaking six to eight quarters after a monetary policy shock (see, for example, Christiano, Eichenbaum, and Evans 1999). As for the third question, a large class of theories points to the existence of contractual rigidities to explain why monetary policy might cause real effects on output. Theoretical models usually posit some form of nominal or real rigidity in wages or prices that is constant over time. For example, wage contracts are assumed to be staggered uniformly over time or subject to change with a constant probability at each point in time (Taylor 1980 and Calvo 1983).

This convenient simplification, however, may not be a reasonable approximation of reality. As a consequence of organizational and strategic motives, wage contract renegotiations may occur at specific times in the calendar year. While there is no systematic information on the timing of wage contracts, anecdotal evidence supports the notion of “lumping” or uneven staggering of contracts. For example, evidence from firms in manufacturing, defense, information technology, insurance, and retail in New England surveyed by the Federal Reserve System in 2003 for the “Beige Book” indicates that most firms take decisions regarding compensation changes (base-pay and health insurance) during the fourth quarter of the calendar year. Changes in compensation then become effective at the very beginning of the next year. The Radford Surveys of compensation practices in the information technology sector reveals that more than 90 percent of the companies use a focal base-pay administration, with annual pay-change reviews; pay changes usually take place at the beginning of the new fiscal year. According to the same survey, 60 percent of the IT companies close their fiscal year in December. To the extent that there is a link between pay changes and the end of the fiscal year, it is worth noting that 64 percent of the firms in the Russel 3,000 index end their fiscal year in the fourth quarter, 16 percent in the first, 7 percent in the second, and 13 percent in the third quarter. Finally, reports on collective bargaining activity compiled by the Bureau of Labor Statistics indicate that the distribution of expirations and wage reopening dates is tilted towards the second semester of the year.

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