T. Garavan, Ronan Carbery, Grace O'Malley, D. O'Donnell
{"title":"理解组织中电子学习的参与:一项大规模的员工实证研究","authors":"T. Garavan, Ronan Carbery, Grace O'Malley, D. O'Donnell","doi":"10.1111/j.1468-2419.2010.00349.x","DOIUrl":null,"url":null,"abstract":"Much remains unknown in the increasingly important field of e-learning in organizations. Drawing on a large-scale survey of employees (N = 557) who had opportunities to participate in voluntary e-learning activities, the factors influencing participation in e-learning are explored in this empirical paper. It is hypothesized that key variables derived from the theories of planned behaviour and instructional design – general-person characteristics, motivation to learn, general and task-specific self-efficacy, situational barriers and enablers, and instructional design characteristics – will predict participation in e-learning. Using structural equation modelling, we find statistical support for the overall theoretical model proposed. We discuss the implications for practice.","PeriodicalId":398959,"journal":{"name":"Wiley-Blackwell: International Journal of Training & Development","volume":"421 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"98","resultStr":"{\"title\":\"Understanding Participation in E-Learning in Organizations: A Large-Scale Empirical Study of Employees\",\"authors\":\"T. Garavan, Ronan Carbery, Grace O'Malley, D. O'Donnell\",\"doi\":\"10.1111/j.1468-2419.2010.00349.x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Much remains unknown in the increasingly important field of e-learning in organizations. Drawing on a large-scale survey of employees (N = 557) who had opportunities to participate in voluntary e-learning activities, the factors influencing participation in e-learning are explored in this empirical paper. It is hypothesized that key variables derived from the theories of planned behaviour and instructional design – general-person characteristics, motivation to learn, general and task-specific self-efficacy, situational barriers and enablers, and instructional design characteristics – will predict participation in e-learning. Using structural equation modelling, we find statistical support for the overall theoretical model proposed. We discuss the implications for practice.\",\"PeriodicalId\":398959,\"journal\":{\"name\":\"Wiley-Blackwell: International Journal of Training & Development\",\"volume\":\"421 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"98\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiley-Blackwell: International Journal of Training & Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/j.1468-2419.2010.00349.x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiley-Blackwell: International Journal of Training & Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/j.1468-2419.2010.00349.x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding Participation in E-Learning in Organizations: A Large-Scale Empirical Study of Employees
Much remains unknown in the increasingly important field of e-learning in organizations. Drawing on a large-scale survey of employees (N = 557) who had opportunities to participate in voluntary e-learning activities, the factors influencing participation in e-learning are explored in this empirical paper. It is hypothesized that key variables derived from the theories of planned behaviour and instructional design – general-person characteristics, motivation to learn, general and task-specific self-efficacy, situational barriers and enablers, and instructional design characteristics – will predict participation in e-learning. Using structural equation modelling, we find statistical support for the overall theoretical model proposed. We discuss the implications for practice.