A technology empowerment model for engineering work

Authors:
William Doll;Xiaodong Deng
Affiliations:
University of Toledo, TOledo, OH, USA;Oakland University, ROchester, MN, USA
Venue:
ACM SIGMIS Database
Year:
2010

Citing 25
Cited 0

User acceptance of computer technology: a comparison of two theoretical models

Management Science
An emerging distributed work arrangement: an investigation of computer-based supplemental work at home

Management Science
The productivity paradox of information technology

Communications of the ACM
A confirmatory factor analysis of the end-user computing satisfaction instrument

MIS Quarterly
Computer self-efficacy: development of a measure and initial test

MIS Quarterly
Expert systems usage: task change and intrinsic motivation

MIS Quarterly
Designing management support systems using an integrative perspective

Communications of the ACM
Developing a multidimensional measure of system-use in an organizational context

Information and Management
Creation of favorable user perceptions: exploring the role of intrinsic motivation

MIS Quarterly
The Knowledge Economy

The Knowledge Economy
Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations

Organization Science
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

Information Systems Research
Market, Hierarchy, and Trust: The Knowledge Economy and the Future of Capitalism

Organization Science
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology

Information Systems Research
Examining the technology acceptance model using physician acceptance of telemedicine technology

Journal of Management Information Systems - Special section: Strategic and competitive information systems
An empirical taxonomy of the decision-making processes concerning strategic applications of information systems

Journal of Management Information Systems - Special section: Navigation in information-intensive environments
A motivational model of microcomputer usage

Journal of Management Information Systems
The Meaning and Measurement of User Satisfaction: A Multigroup Invariance Analysis of the End-User Computing Satisfaction Instrument

Journal of Management Information Systems
Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace

Journal of Management Information Systems
Performance-Centered Design of Knowledge-Intensive Processes

Journal of Management Information Systems
Technology adaption: the case of a computer-supported inter-organizational virtual team1

MIS Quarterly
A design theory for systems that support emergent knowledge processes

MIS Quarterly
User acceptance of information technology: toward a unified view

MIS Quarterly
User acceptance of hedonic information systems

MIS Quarterly
A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems

MIS Quarterly

Quantified Score

Hi-index	0.00

Visualization

Abstract

Seeking to enhance the use of information technology for problem solving/decision support efforts and innovation in engineering work, management has sought to empower engineers by investing in increasingly powerful software capabilities and peer support networks to facilitate an experiential process of working and learning. Based on the concept of psychological empowerment from the management literature, the researchers propose a technology empowerment model (TEM) for the post-adoptive context of engineering design work. This model describes whether individual engineers are energized by cognitive task-technology assessments to engage in an ongoing experiential process. The model contends that psychological empowerment is affected by software capabilities and peer support and, in turn, motivates engineering problem solving/decision support efforts and work process innovations. The model is tested using a sample of 208 individuals engaged in engineering design work. Implications for improving the management of engineering work are discussed.