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The Effects of Innovation Factors on Smartphone Adoption Among Nurses in Community Hospitals

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Date 2010 Aug 11
PMID 20697467
Citations 15
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Abstract

A relatively new mobile technological device is the smartphone-a phone with advanced features such as Windows Mobile software, access to the Internet, and other computer processing capabilities. This article investigates the decision to adopt a smartphone among healthcare professionals, specifically nurses. The study examines constructs that affect an individual's decision to adopt a smartphone by employing innovation attributes leading to perceived attitudes. We hypothesize that individual intentions to use a smartphone are mostly determined by attitudes toward using a smartphone, which in turn are affected by innovation characteristics. Innovation characteristics are factors that help explain whether a user will adopt a new technology. The study consisted of a survey disseminated to 200 practicing nurses selected from two community hospitals in the southeastern United States. In our model, the innovation characteristics of observability, compatibility, job relevance, internal environment, and external environment were significant predictors of attitude toward using a smartphone.

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References
1.
Goedert J . Vendors see a wireless revolution. Health Data Manag. 2003; 11(7):52-3. View

2.
Carpenter D . Spending spree. Big HIT: health information technology enjoys a growth spurt; still coming up short. Hosp Health Netw. 2005; 79(5):suppl 4-6 following 64. View

3.
Carroll A, Christakis D . Pediatricians' use of and attitudes about personal digital assistants. Pediatrics. 2004; 113(2):238-42. DOI: 10.1542/peds.113.2.238. View

4.
Terry K . Doctors are getting more tech savvy. Med Econ. 2007; 84(15):52-4, 56. View

5.
Steinbrook R . Health care and the American Recovery and Reinvestment Act. N Engl J Med. 2009; 360(11):1057-60. DOI: 10.1056/NEJMp0900665. View