An examination of the intent to adopt a computer-based training innovation by employees of a major regional health care system
Sharon Marie Hoffman, Nova Southeastern University, United States
Nova Southeastern University . Awarded
Health Care organizations face increasing pressures to provide quality patient care services in a more cost-effective and efficient manner. Like other industries, they also face the requirement that their employees be prepared to understand and implement the many health and safety-related policies required by both federal and state regulatory and accreditation agencies. Add to this state-required certifications and management-directed requirements for continuous quality improvement, customer service, teamwork skills, etc. and the result is the need for continuous training and re-training of the organization's entire workforce.
Traditionally, this training has been provided by gathering large numbers of employees together in a large room and spending hours, even days, presenting reams of information. Neither employees or trainers enjoy the experience--it is just something that organizations have to do to stay in compliance with the rules. The staff scheduling problems, grading of pre- and post-training tests, and monitoring of attendance are an added burden for those involved.
The increasing availability of cost efficient computer-based training (CBT) provides an effective alternative training method that has the potential to revolutionize this ongoing training process. Reported benefits include: (1) less time to complete, thus less time away from productive work; (2) self-paced learning; (3) automated testing, grading, and reporting of results; and (4) the potential for "just-in-time" refresh of previous training material.
Using a research model that employs a general framework of diffusion of innovations theory and melds the theory of reasoned action, this study examined the factors affecting the behavioral intent of individuals within a major healthcare system to adopt and implement a customized information technology innovation, computer-based training. Attitudes, perceived voluntariness and subjective norm were all shown to influence the behavioral intent to adopt/use computer-based training.
Hoffman, S.M. An examination of the intent to adopt a computer-based training innovation by employees of a major regional health care system. Ph.D. thesis, Nova Southeastern University.
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