{"title":"采用大数据分析建模:一个印尼案例","authors":"Jonny, Kriswanto","doi":"10.1109/IEEM50564.2021.9673013","DOIUrl":null,"url":null,"abstract":"Big Data Analytics (BDA) adoption in Indonesia is modelled in this paper. Lack of knowledge on this field has urge the importance of modeling factors that impacts company to adopt BDA as its strategic initiative to win contested market. Thus, knowledge contribution related to factors influencing BDA adoption using TOE framework is the goal of this paper. For this purpose, 206 companies were surveyed using questionnaire as its research instrument. Among these companies, only 124 companies have given their responses. SmartPLS 3.0 was used to process them. There are two significant findings in the result. First, technology savviness (TS), organizational readiness (OR) and environmental change anticipation (ECA) influence the adoption of BDA in Indonesian companies. Second, TS and ECA influence OR. As managerial implications, companies in Indonesia need to promote mainly TS and OR to gain maximum benefits of BDA adoption.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"53 1","pages":"1122-1126"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling Big Data Analytics Adoption: An Indonesian Case\",\"authors\":\"Jonny, Kriswanto\",\"doi\":\"10.1109/IEEM50564.2021.9673013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big Data Analytics (BDA) adoption in Indonesia is modelled in this paper. Lack of knowledge on this field has urge the importance of modeling factors that impacts company to adopt BDA as its strategic initiative to win contested market. Thus, knowledge contribution related to factors influencing BDA adoption using TOE framework is the goal of this paper. For this purpose, 206 companies were surveyed using questionnaire as its research instrument. Among these companies, only 124 companies have given their responses. SmartPLS 3.0 was used to process them. There are two significant findings in the result. First, technology savviness (TS), organizational readiness (OR) and environmental change anticipation (ECA) influence the adoption of BDA in Indonesian companies. Second, TS and ECA influence OR. As managerial implications, companies in Indonesia need to promote mainly TS and OR to gain maximum benefits of BDA adoption.\",\"PeriodicalId\":6818,\"journal\":{\"name\":\"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":\"53 1\",\"pages\":\"1122-1126\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM50564.2021.9673013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM50564.2021.9673013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling Big Data Analytics Adoption: An Indonesian Case
Big Data Analytics (BDA) adoption in Indonesia is modelled in this paper. Lack of knowledge on this field has urge the importance of modeling factors that impacts company to adopt BDA as its strategic initiative to win contested market. Thus, knowledge contribution related to factors influencing BDA adoption using TOE framework is the goal of this paper. For this purpose, 206 companies were surveyed using questionnaire as its research instrument. Among these companies, only 124 companies have given their responses. SmartPLS 3.0 was used to process them. There are two significant findings in the result. First, technology savviness (TS), organizational readiness (OR) and environmental change anticipation (ECA) influence the adoption of BDA in Indonesian companies. Second, TS and ECA influence OR. As managerial implications, companies in Indonesia need to promote mainly TS and OR to gain maximum benefits of BDA adoption.
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