{"title":"Nighttime lights data and their implications for IB research","authors":"Daniel Shapiro , Chang Hoon Oh , Peng Zhang","doi":"10.1016/j.intman.2023.101055","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":47937,"journal":{"name":"Journal of International Management","volume":"29 5","pages":"Article 101055"},"PeriodicalIF":5.9000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of International Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1075425323000522","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
