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11.
Innovation portfolio management (IPM) is a dynamic decision‐making process, in which projects are evaluated and selected, and resources are allocated. Previous research has developed an understanding of IPM success and its influencing factors. However, little research investigated the quality of the decision‐making process and the ability to quickly adapt the portfolio. This study focuses on the antecedents of decision‐making quality and agility (i.e., responsiveness to changes in the environment). Based on a decision‐making framework, five structural and cultural IPM components are derived as important antecedents of decision‐making quality, which in turn influences agility. The structural components (1) clarity of strategic goals, (2) formality of the IPM processes, and (3) controlling intensity serve a coordinating function. The cultural components (4) innovation climate and (5) risk climate serve a motivating function in IPM. An analysis of a sample of 179 firms and their innovation portfolios through structural equation modeling using a double‐informant design documents that these five components all positively influence portfolio decision‐making quality, which in turn positively influences agility. Results further show that environmental turbulence moderates some of these relationships. While the positive effect of process formality is weakened under increasing turbulence, the effects of controlling intensity and climate for innovation are strengthened by environmental turbulence. The findings have theoretical implications for the understanding of IPM as a dynamic capability and practical implications for the management of portfolios in turbulent environments. 相似文献
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This paper considers two integrated countries that differ only in their labour markets: one country hosts unions, whereas the other one pays competitive wages. These institutional differences are a source of comparative advantage, which crucially impact inter‐industry trade and welfare in the open economy. In this setting, deunionization exerts opposing welfare effects in the two economies. Increasing product market competition is beneficial for the unionized country and detrimental for its trading partner. Finally, we conduct an empirical analysis that provides strong support for the main hypotheses of our theoretical model. 相似文献
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In this paper we examine the extent to which countries are converging in per capita productivity levels. We propose to use cluster analysis in order to allow for the endogenous selection of converging countries. We formally define convergence in a time series analytical context, derive the necessary and sufficient conditions for convergence, and introduce a cluster analytical procedure that distinguishes several convergence clubs by testing for these conditions using a multivariate test for stationarity. We find a large number of relatively small convergence clubs, which suggests that convergence might not be such a widespread phenomenon. Copyright © 2000 John Wiley & Sons, Ltd. 相似文献
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This paper considers the implementation of a non-stationary, heterogeneous Markov model for the analysis of binary dependent variables in a time series of repeated cross-sectional (RCS) surveys. The model offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how maximum likelihood estimates of the parameters can be obtained by Fishers method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch and West German women using ISSP (and other) data from 10 annual Dutch surveys conducted between 1987 and 1996 and 7 annual West German surveys conducted between 1988 and 1994. Some open problems concerning the application of the model are discussed. 相似文献
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Cointegration Analysis of Seasonal Time Series 总被引：1，自引：0，他引：1
This paper reviews various recent approaches to cointegration analysis of seasonal time series. In addition to the usual decisions concerning data transformations and univariate time series properties, it is necessary to decide how seasonal variation is included in the multivariate model and how standard cointegration methods should accordingly be modified. Seasonal cointegration and periodic cointegration methods are discussed, as are some of their recent refinements. An overview of further research topics is also provided. 相似文献
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Journal of Regulatory Economics - We consider a market structure with three mobile providers, two of which are vertically integrated with nationwide coverage. The third provider (an entrant)... 相似文献