Technology Choices 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Technology Choices

简体网页||繁体网页
Diane E. Bailey 作者
The MIT Press
译者
2015-1-30 出版日期
288 页数
USD 32.00 价格
Hardcover
丛书系列
9780262028424 图书编码

Technology Choices 在线电子书 图书标签: 技术  传播学  sociology  TECHNOLOGY  BUSINESS   


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发表于2024-11-28


Technology Choices 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Technology Choices 在线电子书 著者简介

Diane E. Bailey is Associate Professor in the School of Information at the University of Texas at Austin.

Paul M. Leonardi is the Reece Duca Professor of Technology Management in the College of Engineering at the University of California, Santa Barbara. He is the author of Car Crashes without Cars (MIT Press).


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Technology Choices 在线电子书 图书描述

Why do people who perform largely the same type of work make different technology choices in the workplace? An automotive design engineer working in India, for example, finds advanced information and communication technologies essential, allowing him to work with far-flung colleagues; a structural engineer in California relies more on paper-based technologies for her everyday work; and a software engineer in Silicon Valley operates on multiple digital levels simultaneously all day, continuing after hours on a company-supplied home computer and network connection. In Technology Choices, Diane Bailey and Paul Leonardi argue that occupational factors—rather than personal preference or purely technological concerns—strongly shape workers’ technology choices.

Drawing on extensive field work—a decade’s worth of observations and interviews in seven engineering firms in eight countries—Bailey and Leonardi challenge the traditional views of technology choices: technological determinism and social constructivism. Their innovative occupational perspective allows them to explore how external forces shape ideas, beliefs, and norms in ways that steer individuals to particular technology choices— albeit in somewhat predictable and generalizable ways. They examine three relationships at the heart of technology choices: human to technology, technology to technology, and human to human. An occupational perspective, they argue, helps us not only to understand past technology choices, but also to predict future ones.

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