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The present study seeks to shed further light on what favors the conversion of inventions into innovations in for-profit firms and to advance our understanding of how to tackle cancer grand challenges (CGCs). Specifically, following the literature on knowledge search and recombination, we analyze whether and how cancer-related inventions developed through an intense adoption of scientific knowledge (scientific search intensity) result in (i) a higher number of approved drugs and (ii) a shorter approval time for new drugs. Notably, while the role of science with regard to technological development has been widely studied, the extent to which science-based solutions relate to new product introduction, especially in terms of coping with grand challenges such as approved cancer drugs, is less known. Furthermore, considering the digitization of (health) R&D and the role of information and communication technologies (i.e., digital technologies) to address grand challenges, we examine whether and how cancer-related inventions developed through an intense adoption of digital knowledge (digital search intensity) directly affect the extent and speed of cancer drug approval, as well as whether interaction effects between scientific and digital search intensity exist. We develop hypotheses that we test on a sample of 65,861 cancer-related patents owned by 139 for-profit firms, collected from the USPTO Cancer Moonshot Patent Data. These have a priority date between 1990 and 2010, and have led to 1035 approved drugs. Results reveal that scientific search intensity is not associated with the number of different drugs developed from a single cancer-related invention but is associated with the speed at which the invention leads to a newly approved drug. Digital search intensity appears not to directly affect cancer drug approval, but it lessens the effects of scientific search intensity, thus pointing to a limit of digitization in cancer R&D and innovation processes.  相似文献   
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This paper analyses how universities leverage knowledge coming from different technological, institutional, and geographical domains to develop technologies exerting a relevant impact for firms’ technological advancements. The analysis is based on a panel of 219 worldwide universities that filed, at least, a patent belonging to the alternative energy production sector in the period 2002–2010. Results show that using external knowledge originating in different technological and institutional domains exerts an inverted U‐shaped effect on the firms’ subsequent technological progress, while the geographical origin seems to do not exert any influence.  相似文献   
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New and small firms operating in the high-tech environments need strong entrepreneurial (EO) and learning (LO) orientations to enhance international growth. Yet, the relationship between these two key strategic dimensions and foreign growth can be contingent to the entrepreneur’s individual characteristics. Bringing together elements from strategic management, organization and entrepreneurship literatures, we employ a dynamic temporal perspective considering two levels of analysis, the firm and the entrepreneur, and we apply a fixed effects pooled time-series regression on a sample of 170 firms in two periods of time (2005 and 2015). Our findings indicate that SMEs that possess greater EO and LO have higher international growth. However, previous entrepreneurial and industry-specific managerial experience of the founder/CEO positively exert their effect on these relationships. Our results have important theoretical and practical implications for entrepreneurs and policy makers operating in highly innovative sectors.  相似文献   
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This paper contributes to technical analysis (TA) literature by showing that the high and low prices of equity shares are largely predictable only on the basis of their past realizations. Moreover, using their forecasts as entry/exit signals can improve common TA trading strategies applied on US equity prices. We propose modeling high and low prices using a simple implementation of a fractional vector autoregressive model with error correction (FVECM). This model captures two fundamental patterns of high and low prices: their cointegrating relationship and the long-memory of their difference (i.e., the range), which is a measure of volatility.  相似文献   
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The purpose of this article is to investigate the influence of culture on consumers’ price perception of local products as well as the creation of competitive advantage for local firms. In particular, we analyze the locally produced goods of the Calabrian region in southern Italy. The research methodology is based on qualitative approach and quantitative approach. The results of the study offer important insights into consumers and firms. Since the firm has a better understanding about the role of culture and its effect on consumer perception, it will be able to adjust or improve its pricing policy and thus achieve consumer satisfaction and retention and gain competitive advantage to increasing sales. In this study we introduce specific cultural factors, such as the image and tradition of Magna Græcia culture. Although substantial research on the influence of cultural factors on consumer’s perception exists in the field of consumer research, this study further contributes to the literature by acting as a catalyst for future scientific enquiries in this important area.  相似文献   
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This paper focuses on the design of monetary policy rules for a small open economy. The model features optimizing behavior, general equilibrium and price stickiness. The real exchange rate is shown to affect the firm's real marginal cost, aggregate supply and aggregate demand. The welfare objective depends on the openness of the economy, and the optimal policy rule differs from that which obtains in a closed economy. The inflation versus output gap stabilization trade-off is caused by the real exchange rate. The implied optimal monetary policy regime is domestic inflation target coupled with controlled floating of the real exchange rate.  相似文献   
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