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Hindi film scholars have been slow to adopt content analysis methodologies. Given the potentially changing social-political-economic context of Hindi cinema, this study utilized content analysis to investigate the prevalence of five globalization dimensions—geographical, cultural, nationalistic, infrastructural, and artistic—in the highest grossing Hindi films of the postcolonial era between 1947 and 2007. The films were coded to address multiple hypotheses theorizing that changing transnational contexts would be related to significant increases in global aspects of content. The findings suggest that the oft-repeated conclusions of scholars regarding the widespread influence of global forces on Hindi film production—particularly in the current era of “Bollywoodization”—are more complex than suggested in prior research. 相似文献
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Kavita Dorai 《Resonance》2005,10(12):203-216
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Laras Sekarasih Kavita Nayar Donica O’Malley Christine Olson Erica Scharrer 《The Communication Review》2016,19(2):128-152
Qualitatively analyzing 35 responses from a letter-writing homework in a media literacy education program, this study examines sixth graders’ understandings of producers’ responsibility in creating media content. Responses suggest their understandings about producers’ responsibility are bounded within the context of their media use as consumers, rather than as citizens. Findings focus on the importance of introducing contextual factors of media production as well as the challenges that researchers and educators might face. 相似文献
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In this article, we define the inversion vector of a permutation of the integers 1, 2, . . . , n. We set up a particular kind of permutation, called a partial random permutation. The sum of the elements of the inversion vector of such a permutation is a random variable of interest. 相似文献
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Accelerating innovation in clean energy technologies is a policy priority for governments around the world aiming to mitigate climate change and to provide affordable energy. Most research has focused on the role of governments financing R&D and steering market demand, but there is a more limited understanding of the role of direct government interactions with startups across all sectors. We propose and evaluate the value-creation mechanisms of network resources from different types of partners for startups, highlighting the unique resources of government partners for cleantech startups. We develop and analyze a novel dataset of 657 U.S. cleantech startups and 2,015 alliances with governments, firms, research organizations, and not-for-profit organizations from 2008 to 2012 and analyze short-term firm outcomes from the different alliances. Our findings highlight the importance of governmental partners in technology development alliances to catalyze cleantech startup innovation (the patenting activity of cleantech startups increases by 73.7 percent with every additional governmental technology alliance when compared to those startups that did not engage in such alliances) and as quality signals to private sector investors for licensing alliances (private financing deals increase by 155 percent for every additional license from a government organization). Overall, these findings extend the alliance perspectives on innovation, contribute to the emerging research on entrepreneurial ecosystems, and underline the need to develop empirical evidence in different sectors. 相似文献
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