Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace
By David Brougham, Jarrod M. Haar. Journal of Management & Organization, 2017
875 citations recorded by the source corpus.
Subfields: Demography, Organizational Behavior and Human Resource Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/ccf22bb441185f3d05d2a121082353cfcae610b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Elias Hadjielias
- Michael Christofi
- John S. Edwards
- Demetris Vrontis
- Yanqing Duan
- Markus Groth
- Yogesh Kumar Dwivedi
- Gudela Grote
In Organizational Behavior and Human Resource Management
- Helena Nguyen
- Sharon K. Parker
- Anya Johnson
- Markus Groth
- Gudela Grote
- Elias Hadjielias
- Michael Christofi
- Samuel Chng
In Social Psychology
- Helena Nguyen
- Anya Johnson
- Elias Hadjielias
- Michael Christofi
- Samuel Chng
- John S. Edwards
- Manuel Jesus Cobo
- Demetris Vrontis
Citations in the corpus
- What is the future of work? A science mapping analysis (2020, background): “The conception of careers has to be dynamic and unpredictable (Brougham & Haar, 2018), but this changing nature of careers could offer opportunities (Krumboltz, 2009).”
- Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “…robotics, and algorithms) by employees was generally related to perceptions of potential job redundancy, increased turnover intentions, cynicism and depression, and lower levels of organizational commitment and career satisfaction (Brougham and Haar, 2017, 2018; Hettich, 2017; Li et al., 2019).”
- Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World (2020, background): “collective changes, referred to by Brougham and Haar (2018) as Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA), are re-shaping the information workers have access to (e.”
- Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, methodology): “Apart from Brougham and Haar (2018), who indicated that the use of AI may lessen employees ’ future prospects so that their wellbeing consequently suffers, leading to depression and cynicism, there is little empirical research on personal wellbeing concern caused by using AI.”
- A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being (2020, background): “There is also research that perceiving technological change such as advances in artificial intelligence and the ‘disruption’ of the traditional career pathway as a threat to one’s job security can negatively impact employee well-being (Brougham and Haar, 2018).”
- The Ethical Implications of Using Artificial Intelligence in Auditing (2020, background): “(xi) Deprofessionalization Brougham and Haar (2018) examine what the impact of AI will be on the future work-place.”
- A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021, positive): “Many people in organizations fear that AI will threaten their job (Makarius, Mukherjee, Fox, & Fox, 2020) and as a consequence, AI adoption can lead to increased employee stress, lower organizational commitment, and reduced productivity (Brougham & Haar, 2018).”