最佳显著性理论
身份(音乐)
新兴技术
互联网隐私
奖学金
社会学
数字身份
计算机科学
公共关系
数据科学
身份管理
政治学
心理学
过程(计算)
社会心理学
美学
计算机安全
法学
哲学
人工智能
操作系统
访问控制
作者
Emmanuelle Vaast,Alain Pinsonneault
标识
DOI:10.25300/misq/2021/16024
摘要
Occupations are increasingly embedded with and affected by digital technologies. These technologies both enable and threaten occupational identity and create two important tensions: they make the persistence of an occupation possible while also potentially rendering it obsolete, and they magnify both the similarity and distinctiveness of occupations with regard to other occupations. Based on the critical case study of an online community dedicated to data science, we investigate longitudinally how data scientists address the two tensions of occupational identity associated with digital technologies and reach transient syntheses in terms of “optimal distinctiveness” and “persistent extinction.” We propose that identity work associated with digital technologies follows a composite life-cycle and dialectical process. We explain that people constantly need to adjust and redefine their occupational identity, i.e., how they define who they are and what they do. We contribute to scholarship on digital technologies and identity work by illuminating how people deal in an ongoing manner with digital technologies that simultaneously enable and threaten their occupational identity.
科研通智能强力驱动
Strongly Powered by AbleSci AI