{"title":"社会背景与行业绩效的探索性研究","authors":"Delvin Grant, Benjamin Yeo","doi":"10.4018/ijebr.309387","DOIUrl":null,"url":null,"abstract":"There is inconclusive evidence on the effectiveness of information and communication technologies (ICT) at the industry level. Using the influence-impact model as a theoretical framework, the authors apply data mining techniques to identify ICT, financial, and geographical predictors of industry performance. The authors find that ICT are necessary but insufficient, and a mix of technical advancement, financial factors, and geography affect industry performance at different stages of development. These findings are used to discuss ICT for development (ICT4D) research, and abduct hypotheses for theory development with implications for future research.","PeriodicalId":13628,"journal":{"name":"Int. J. E Bus. Res.","volume":"44 1","pages":"1-22"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploratory Study of Societal Contexts and Industry Performance\",\"authors\":\"Delvin Grant, Benjamin Yeo\",\"doi\":\"10.4018/ijebr.309387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is inconclusive evidence on the effectiveness of information and communication technologies (ICT) at the industry level. Using the influence-impact model as a theoretical framework, the authors apply data mining techniques to identify ICT, financial, and geographical predictors of industry performance. The authors find that ICT are necessary but insufficient, and a mix of technical advancement, financial factors, and geography affect industry performance at different stages of development. These findings are used to discuss ICT for development (ICT4D) research, and abduct hypotheses for theory development with implications for future research.\",\"PeriodicalId\":13628,\"journal\":{\"name\":\"Int. J. E Bus. Res.\",\"volume\":\"44 1\",\"pages\":\"1-22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. E Bus. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijebr.309387\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. E Bus. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijebr.309387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploratory Study of Societal Contexts and Industry Performance
There is inconclusive evidence on the effectiveness of information and communication technologies (ICT) at the industry level. Using the influence-impact model as a theoretical framework, the authors apply data mining techniques to identify ICT, financial, and geographical predictors of industry performance. The authors find that ICT are necessary but insufficient, and a mix of technical advancement, financial factors, and geography affect industry performance at different stages of development. These findings are used to discuss ICT for development (ICT4D) research, and abduct hypotheses for theory development with implications for future research.