Exploring The Multifaceted Influences of Technologies on Work and Work Experiences

With the rapid development and widespread application within organizations, technologies of various types are changing the workplace and significantly shaping our work and important work outcomes. To advance our understanding of the multifaceted influences of technologies on our work and work experiences, this symposium consists of five papers that investigate how the adoption, implementation, and use of different categories of technologies (incl., information and communication technology, algorithm, artificial intelligence, big data and machine learning) are changing the multiple aspects of work, work experiences and employee outcomes (incl., cognition, affect, well-being, identity, inter-unit coordination, and performance evaluation). Moreover, these studies are conducted using different research methods in diverse settings, including a quantitative work with archival data of gig workers, a diary work in the context of virtual work, an ethnography study of medical staff in a hospital, and a machine learning study in a call center. With an explicit focus on putting the worker front and center in the digital era, the papers offer insights into how workers are encountering changes triggered by the applications of different technologies in a variety of organizational contexts. Therefore, this symposium provides important managerial implications for both workers and organizations in understanding the changing nature of work in the digital workplace. Work from Home= Always on? A Diary Study on Telework, ICT Availability Demands and Employee Recovery Author: Laura Venz; Leuphana U. Lüneburg Author: Anne Wöhrmann; Leuphana U. Lüneburg Author: Dana Unger; UiT The Arctic U. of Norway Examining Feelings of Anxiety in App-Based Gig Work vs. Traditional Transportation Occupations Author: Dritjon Gruda; Nat. Uni. of Ireland Maynooth/ Catolica Porto Business School Author: James Duggan; Cork U. Business School Towards a More Valid and Fair Performance Evaluation Model by Machine Learning Author: Sima Sajjadiani; Sauder School of Business, U. of British Columbia Author: Danielle Van Jaarsveld; Sauder School of Business, U. of British Columbia Author: David Douglas Walker; U. of British Columbia Author: Gabrielle Voiseux; Sauder School of Business, U. of British Columbia The Digital Self: A Multilevel Review of Technology and Identity Author: Yaqi Gao; Guanghua School of Management, Peking U. Author: Mingyue Tang; Guanghua School of Management, Peking U. Technology as a Scapegoat: How CDSS Introduction Influences Pharmacists’ Inter-Unit Coordination Author: Chencan Ye; School of management, Zhejiang U. Author: Qiongjing Hu; Zhejiang U. Author: Xiaoyun Xie; Zhejiang U. Author: Jiayi Zhu; School of management, Zhejiang U. Author: Shilin Wang; Zhejiang U., China Author: Yue Yu; Zhejiang U., China