夜间灯光数据及其对IB研究的启示

IF 5.9 2区 管理学 Q1 MANAGEMENT
Daniel Shapiro , Chang Hoon Oh , Peng Zhang
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引用次数: 0

摘要

社会科学领域的研究人员越来越多地使用夜间灯光(NTL)数据来研究与经济制裁、冲突、自然灾害、气候变化、贫困和不平等相关的各种政治、社会和自然风险相关的各种问题。同样的问题也出现在国际商务(IB)文献中,但IB研究人员尚未使用NTL数据。我们建议,当IB研究人员研究国家数据不可靠的国家和/或不存在详细空间数据的次国家地区时,NTL数据为他们提供了独特的好处。在本文中,我们介绍了NTL数据和使用它们的社会科学文献。我们认为,这些研究表明,国际商业学者在研究政治、社会和自然风险时,可能会使用NTL。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nighttime lights data and their implications for IB research

Researchers in the social sciences have increasingly employed nighttime lights (NTL) data to examine a variety of questions relating to various political, social and natural risks associated with economic sanctions, conflicts, natural disasters, climate change, poverty and inequality. These same issues have emerged in the international business (IB) literature, but IB researchers have not yet used NTL data. We propose that NTL data provide unique benefits to IB researchers when they study countries where national data are not reliable and/or subnational locations where detailed spatial data does not exist. In this perspective paper, we introduce the NTL data and the social science literature that uses them. We suggest that these studies point to possible uses of NTL by international business scholars who examine political, social, and natural risks.

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来源期刊
自引率
9.80%
发文量
67
审稿时长
81 days
期刊介绍: The Journal of International Management is devoted to advancing an understanding of issues in the management of global enterprises, global management theory, and practice; and providing theoretical and managerial implications useful for the further development of research. It is designed to serve an audience of academic researchers and educators, as well as business professionals, by publishing both theoretical and empirical research relating to international management and strategy issues. JIM publishes theoretical and empirical research addressing international business strategy, comparative and cross-cultural management, risk management, organizational behavior, and human resource management, among others.
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