Work and Technological Change
Book Details
Format
Hardback or Cased Book
Book Series
Clarendon Lectures in Management Studies
ISBN-10
0198795203
ISBN-13
9780198795209
Publisher
Oxford University Press
Imprint
Oxford University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 27th, 2020
Print length
174 Pages
Weight
352 grams
Dimensions
14.50 x 22.20 x 1.90 cms
Product Classification:
Sociology: work & labourBusiness innovationOrganizational theory & behaviour
Ksh 6,100.00
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Stephen R. Barley reflects on over three decades of research to explore both the history of technological change and the approaches used to investigate how technologies, including intelligent technologies such as machine learning and robotics, are shaping our work and organizations.
In recent years a growing number of commentators have declared that we are at the beginning of a technical revolution that will see profound changes in the way we live and work. Yet what constitutes a technological revolution, and what logic supports how successive technological revolutions have unfolded in Western societies? How do technologies change organizations and what are the implications of intelligent technologies for work and employment?Here, Stephen R. Barley reflects on over three decades of research to explore both the history of technological change and the approaches used to investigate how technologies are shaping our work and organizations. He begins by placing current developments in artificial intelligence into the historical context of previous technological revolutions, drawing on William Faunce''s argument that the history of technology is one of progressive automation of the four components of any production system: energy, transformation, transfer, and control technologies. He then considers how technologies change work, and when those changes will and will not result in organizational change. In doing so he lays out a role-based theory of how technologies produce changes in organizations. He then tackles the issue, alongside Matt Beane, of how to conceptualize a more thorough approach to assessing how intelligent technologies, such as artificial intelligence, can shape work and employment. They identify the main reasons why the current state of research on intelligent technologies in the workplace is inadequate, and provide pointers on how empirical studies in this area may, and must, be improved. He concludes with a discussion with his long-time colleague Diane Bailey about the fears that arise when one sets out to study technical work and technical workers, and the methods that they, and future ethnographers, can use for controlling those fears.
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