Understanding information technology acceptance by individual professionals: Toward an integrative view

• Published in: Information & management Vol. 43; no. 3; pp. 350 - 363
• Main Authors: Yi, Mun Y., Jackson, Joyce D., Park, Jae S., Probst, Janice C.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01-04-2006; Elsevier Science; Elsevier Sequoia S.A
• Subjects: Consumer attitudes; Data collection; Exact sciences and technology; Healthcare professionals; Information and communication sciences; Information science. Documentation; Information technology; Innovation diffusion; Innovations; Library and information science. General aspects; LISREL; PDA; Personal digital assistants; Physicians; Sciences and techniques of general use; Studies; TAM; Technological change; Technology acceptance; Technology Acceptance Model; Theory of planned behavior; Use and user studies. Information needs; United States; North America; America; United States > US; TAM; Physicians; LISREL; Technology acceptance; Innovation diffusion; Healthcare professionals; PDA; Information technology; Theory of planned behavior; Personal digital assistant; Acceptance; Questionnaire; Health staff; Information communication technology; Diffusion of innovations; Physician; Use study; User study; Adoption
• ISSN: 0378-7206; 1872-7530
• DOI: 10.1016/j.im.2005.08.006

Although information technology is becoming a vital part of the workplace of skilled professionals, it is unclear what factors contribute to its acceptance by them. Building upon and integrating the key findings of three closely related theoretical paradigms (the technology acceptance model, the theory of planned behavior, and innovation diffusion theory), we developed a more complete, coherent, and unified model and tested the resulting model in the context of PDA acceptance by healthcare professionals. Using LISREL, data collected from 222 physicians in the U.S. were tested against the model; it explained 57% of the physician's intention to accept an innovation, with good model fit. Our study produced useful insights into the factors that influence technology acceptance decisions by professionals and provided new ideas in the understanding of user acceptance of technology.