{"title":"移动技术采用的纵向研究:工作中的进化","authors":"E. Lawrence, Michael Er","doi":"10.1109/ICDS.2007.27","DOIUrl":null,"url":null,"abstract":"Workplaces are changing as new technologies are introduced in an effort to improve efficiency and increase business turnover. Although there has been an explosion of mobile technologies and devices in recent time, very few in situ studies of the adoption of these technologies have been undertaken. This paper reports on the results of a longitudinal case study of a business over a six year period as a knowledge worker shifted from Australia to the USA and then to England. It outlines how the company moved from paper based systems to an online system and finally to a mobile commerce system. The authors have used mobile informatics to analyze the use of mobile devices in particular settings and low end disruption theory to assist in the interpretation of the data.","PeriodicalId":348977,"journal":{"name":"First International Conference on the Digital Society (ICDS'07)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Longitudinal Study of Mobile Technology Adoption: Evolution at Work\",\"authors\":\"E. Lawrence, Michael Er\",\"doi\":\"10.1109/ICDS.2007.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Workplaces are changing as new technologies are introduced in an effort to improve efficiency and increase business turnover. Although there has been an explosion of mobile technologies and devices in recent time, very few in situ studies of the adoption of these technologies have been undertaken. This paper reports on the results of a longitudinal case study of a business over a six year period as a knowledge worker shifted from Australia to the USA and then to England. It outlines how the company moved from paper based systems to an online system and finally to a mobile commerce system. The authors have used mobile informatics to analyze the use of mobile devices in particular settings and low end disruption theory to assist in the interpretation of the data.\",\"PeriodicalId\":348977,\"journal\":{\"name\":\"First International Conference on the Digital Society (ICDS'07)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Conference on the Digital Society (ICDS'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDS.2007.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference on the Digital Society (ICDS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDS.2007.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Longitudinal Study of Mobile Technology Adoption: Evolution at Work
Workplaces are changing as new technologies are introduced in an effort to improve efficiency and increase business turnover. Although there has been an explosion of mobile technologies and devices in recent time, very few in situ studies of the adoption of these technologies have been undertaken. This paper reports on the results of a longitudinal case study of a business over a six year period as a knowledge worker shifted from Australia to the USA and then to England. It outlines how the company moved from paper based systems to an online system and finally to a mobile commerce system. The authors have used mobile informatics to analyze the use of mobile devices in particular settings and low end disruption theory to assist in the interpretation of the data.
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