Computing and organizations: what we know and what we don't know
Communications of the ACM - Special section on management of information systems
The effect of a priori views on the social implications of computing: the case of office automation
ACM Computing Surveys (CSUR)
Facilitating the adoption of information technology in a developing country
Information and Management
International Journal of Man-Machine Studies
Usefulness and ease of use: field study evidence regarding task considerations
Decision Support Systems - Special issue on user interfaces
Information technology innovations: a classification by IT locus of impact and research approach
ACM SIGMIS Database - Special double issue: diffusion of technological innovation
Measuring system usage: implications for IS theory testing
Management Science
Survey instruments in information systems
MIS Quarterly
Anxiety and involvement: cultural dimensions of attitudes toward computers in developing societies
Journal of Global Information Management
Occupational stress, attitudes, and health problems in the information systems professional
Communications of the ACM
Corporate Information Systems Management: Text and Cases
Corporate Information Systems Management: Text and Cases
The Impact of Perceived Innovation Characteristics on Intention to Use Groupware
Information Resources Management Journal
One laptop per child: vision vs. reality
Communications of the ACM - One Laptop Per Child: Vision vs. Reality
Journal of Organizational and End User Computing
The Value of TAM Antecedents in Global IS Development and Research
Journal of Organizational and End User Computing
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In this paper we investigate how perceived attributes of computer technology influence its rate of adoption in the workplace. In order to achieve this, the diffusion of innovation literature was reviewed looking for a set of common attributes that could be responsible for the largest rate of adoption. The literature suggests that Rogers' five attributes of innovation namely, relative advantage, compatibility, complexity, trialability, and observability explain up to 87% of the innovation rate of adoption. About 1200 knowledge workers in 56 public and private medium and large organizations across Saudi Arabia of different managerial levels and spanning a wide spectrum of industries and services have participated in this study. The findings highlight the role and direction of these factors toward computer technology adoption in developing countries. This should help decision makers in this part of the world cultivate the positively correlating factors to enhance computer technology adoption while trying to reduce the effects of the negative factors. We contend that the findings are also valuable for practitioners from western cultures in applying computer-based information systems solutions to developing countries.