O. O. Omotayo, A. I. Iortimbir, Balogun E. Oluwadamilare
{"title":"物联网与供应链管理:尼日利亚视角的实证分析","authors":"O. O. Omotayo, A. I. Iortimbir, Balogun E. Oluwadamilare","doi":"10.30880/jts.2023.15.01.005","DOIUrl":null,"url":null,"abstract":"Information Tecnology (IT) developments is a paradigm shift in various domains, including supply chain management (SCM). This study examines internet of thing (IoT) and SCM; an empirical analysis of Nigeria perspective. The study examined IoT factors and its effect on SCM, with aspecific focus on Jumia Nigeria. The survey research design was used in this study. The study's sample size is comprised of 265 members of Jumia employees who were randomly selected with 253 valid responses retrieved. SmartPLS3 was used for the analysis, and hypotheses were tested using structural equation model at a significance threshold of 0.05 to see whether they were correct. Results demonstrated that IoT has a standardized beta value and P value of 0.948 and 0.000 on SCM which its r2 indicates 89.9% on SCM. In conclusion, IoT factors integration will lead to continuous improvement as it helps to enhanced its supply chain management.","PeriodicalId":30344,"journal":{"name":"Journal of TechnoSocial","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Internet of Things and Supply Chain Management: An Empirical Analysis of Nigeria Perspective\",\"authors\":\"O. O. Omotayo, A. I. Iortimbir, Balogun E. Oluwadamilare\",\"doi\":\"10.30880/jts.2023.15.01.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Information Tecnology (IT) developments is a paradigm shift in various domains, including supply chain management (SCM). This study examines internet of thing (IoT) and SCM; an empirical analysis of Nigeria perspective. The study examined IoT factors and its effect on SCM, with aspecific focus on Jumia Nigeria. The survey research design was used in this study. The study's sample size is comprised of 265 members of Jumia employees who were randomly selected with 253 valid responses retrieved. SmartPLS3 was used for the analysis, and hypotheses were tested using structural equation model at a significance threshold of 0.05 to see whether they were correct. Results demonstrated that IoT has a standardized beta value and P value of 0.948 and 0.000 on SCM which its r2 indicates 89.9% on SCM. In conclusion, IoT factors integration will lead to continuous improvement as it helps to enhanced its supply chain management.\",\"PeriodicalId\":30344,\"journal\":{\"name\":\"Journal of TechnoSocial\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of TechnoSocial\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30880/jts.2023.15.01.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of TechnoSocial","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30880/jts.2023.15.01.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Internet of Things and Supply Chain Management: An Empirical Analysis of Nigeria Perspective
Information Tecnology (IT) developments is a paradigm shift in various domains, including supply chain management (SCM). This study examines internet of thing (IoT) and SCM; an empirical analysis of Nigeria perspective. The study examined IoT factors and its effect on SCM, with aspecific focus on Jumia Nigeria. The survey research design was used in this study. The study's sample size is comprised of 265 members of Jumia employees who were randomly selected with 253 valid responses retrieved. SmartPLS3 was used for the analysis, and hypotheses were tested using structural equation model at a significance threshold of 0.05 to see whether they were correct. Results demonstrated that IoT has a standardized beta value and P value of 0.948 and 0.000 on SCM which its r2 indicates 89.9% on SCM. In conclusion, IoT factors integration will lead to continuous improvement as it helps to enhanced its supply chain management.