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Brian Harmon Alexander Ardishvili Richard Cardozo Tait Elder John Leuthold John Parshall Michael Raghian Donald Smith 《Journal of Business Venturing》1997,12(6):423-434
Transfer of technologies from the universities to the private sector is increasingly regarded as playing a significant role in new business starts, growth of existing businesses, and new job creation. Further, there are monerous models describing the process of technology transfer. Some of the existing models represent this process as a linear progression of steps: from idea generation and technology development at the university, to patenting the technology and then establishing a university-private firm link through a formal search process. The process culminates in patent rights transfer. Other models describe technology transfer in terms of networking arrangements and emphasize not so much formal search as the role of long-term relationships between the two parties. Still other studies indicate that it is possible to combine the two approaches—formal search and informal networking arrangements—to ensure successful transfer.Business firms involved in transfer also may be classified into several groups. Transfer could occur between the university and an established firm, between the university and a recently created new venture, or transfer could result in the creation of a new company. Technology, for example, could be transferred to a large company that uses the transferred technology as a basis for just one of many product lines, or to a small firm that makes the transferred technology a cornerstone of its product strategy.Are there any differences among the transfer processes used when large or small firms are involved, or when technology is transferred to an existing company, or results in the creation of a new firm? To address these questions, we mapped the technology transfer processes of 23 different technologies developed at the University of Minnesota from 1983 to 1993.More than half of the technologies studied went to large companies and were used either to upgrade existing products or to extend existing product lines. In eight cases technologies were transferred to small firms. In three cases technologies were transferred to venture capital firms or intermediaries and had not been commercialized at the time the study was completed. In the rest of the cases new firms were created by the inventors/university scientists themselves and served as vehicles for marketing their inventions. None of the firms of the latter group have grown beyond a part-time employment opportunity for the inventors, and only one firm provided evidence that additional hiring would be necessary in the near future.Only four cases involved transfers of technologies that have been developed and patented by the university to firms that did not have any relationships with the university prior to the transfer. In these four cases the firms used some form of search strategy to find a needed technology. However, there is no evidence that any of the firms had a well-developed formal search procedure. In the overwhelming majority of cases some form of relationship existed between the university (or individual inventors) and the private firm prior to the transfer. These relationships ranged from long-term friendships and/or cooperation to such less involved forms as interaction at research seminars and university-sponsored events. Further, in four cases, the technologies were initially developed by private companies, whereas the university's role was to assist in refinement or testing of the technology.The research yielded a number of additional findings that deserve further investigation and discussion. Specifically, the study did not provide any evidence that the successfully completed technology transfers made any substantial contribution to either new business creation or the generation of new jobs. This finding suggests that scholars and policy makers should proceed with caution before accepting a notion that new or high technology firms will have any direct economic impact.The study findings hold specific implications for entrepreneurial behavior and public policy. The “formal search and shopping” for a technology model suggests that both business and academic/government laboratories publicize, respectively, their requirements and offerings, and that opportunities for creative brokerage ought to exist. We found that in the majority of cases technology was transferred not through formal search, but through some prior relationships among individuals. This observation suggests that the ability to build extended networks of relationships not only within the business world but also with the university community is an important skill that owners and managers of the technology-based businesses need to possess. Entrepreneurs seeking to start businesses based on new technologies may need to reevaluate how much of their limited time to allocate to build and maintain networks and cooperative relationships, and how much time to shop for new technologies through formal channels. Further, public policy and the efforts of the university transfer agencies intended to facilitate transfer may need to shift their emphasis from facilitating “shopping” by organizing and/or paying for “publicity” (which is currently the major emphasis) to providing assistance in network building and relationship marketing efforts. 相似文献
173.
A curious blend of business and intellectual history, with anemphasis on the latter, Michael Augspurgers An Economyof Abundant Beauty offers a reading of Fortune magazine fromits founding in 1930 through the election of Dwight D. Eisenhowerin 1952. Distancing himself from other observers of the publicationwho have interpreted Fortunes heavy coverage of highculture and aesthetics during the 1930s alongside more prosaicbusiness news as the result of a distinct split between a progressivestaff of writers, including James Agee and Archibald MacLeish,and more conservative editors and publisher Henry Luce, Augspurgerclaims to discern a 相似文献
174.
Brian P. Brown Alex R. Zablah Danny N. Bellenger Wesley J. Johnston 《International Journal of Research in Marketing》2011,28(3):194-204
The dominant perspective on organizational buying behavior suggests that buyers tend to rely on objective criteria when making product choice decisions and that the potential influence of subjective cues, such as brands, on buyer decision making decreases with increasing risk. An alternative perspective, confirmed in this study by in-depth interviews with various managers, suggests that brands serve as a risk-reduction heuristic, whereby the influence of brands on decision making increases as a function of risk. Building on risk and information processing theories, this research builds on these complementary perspectives to propose that risk and brand sensitivity relate in a U-shaped manner, where brand sensitivity is highest in relatively low- or high-risk situations. The results of scenario- and survey-based field studies—involving 206 and 180 members of buying centers, respectively—suggest that both perspectives have merit and support the proposed nonlinear relationship. Moreover, the findings reveal that the risk-brand sensitivity relationship is moderated by competitive intensity, such that the linear (negative) and quadratic (positive) effects are stronger when competitive intensity is low. 相似文献
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This research assessed the influence of team support and perception of sponsors on the purchase intentions of sport consumers. In a case study of a not‐for‐profit, membership‐based Australian professional football club, 1647 respondents reported their perceptions of team support, sponsor integrity and purchase intentions for the sponsor's products. Results revealed that the key pathway to purchase intention is associated with fan passion and a perception of sponsor integrity. This implies that the best mechanism for sponsor return on investment comes in the form of activities to bolster both passion for the team and perceptions of sponsor integrity. 相似文献
178.
Today's corporate environment requires managers to be excellent decision makers. Their ability to make fast, widely-supported, and effective decisions will, in large part, shape the performance of their firms. In this article, we describe two cognitive systems that influence decision making. System 1 refers to a process that is fast, effortless, and intuitive. System 2 is a slow, controlled, and rule-governed decision-making process. Both are important to a wide variety of managerial decisions, and they interact with each other. There are, however, a number of forces at work that hinder the effectiveness of these processes. For example, we know from prospect theory that managers are unwilling to incur loss, so much so that they often make irrational decisions based on a small probability that they could avoid such loss. Another example, the escalation of commitment, explains why managers may continue to dedicate resources to failed projects. We describe these and other biases, with a view toward helping managers better understand the problems of decision making and improve the effectiveness of their decisions. 相似文献
179.
This article uses cointegration and error-correction models to analyze the causal relationship between agricultural export diversification and economic growth in eight selected Caribbean countries using annual data from 1961 to 2000. The empirical results show that in the short run, agricultural export diversification Granger causes economic growth in Barbados and Belize. Noncausality exists for the other countries. In the long run, agricultural export diversification also Granger causes economic growth in the Dominican Republic. On the contrary, agricultural export diversification is the outcome of the economic growth process in Belize, Costa Rica, Haiti, and Jamaica, in the long run. Noncausality exists in Trinidad and Tobago. There is no evidence of bi-directional causality in any of the countries in either the short or long run. 相似文献
180.