title: Influence of gender, age, and social norm on digital imaging use.
abstract: BACKGROUND
  The adoption of digital imaging technology is a critical investment decision, and problems related to employee acceptance of the technology often are underestimated. Literature indicates that subjective normative factors, gender differences, and age may affect employee acceptance and use of new technology. Thus, understanding these influential factors is highly important to organizations.
  
  
  OBJECTIVE
  To explore the relationships between gender, age, subjective normative factors, and the intention to use digital imaging technology in an environment where its use is mandatory.
  
  
  METHODS
  A survey was used to investigate the applicability of a modified, theoretical technology acceptance model as a proposed model of radiographers' intention to use digital imaging technology. Structural equation modeling was used to test the theoretical model, and path analysis was used to examine dependence between variables.
  
  
  RESULTS
  Although the data supports the modified versions of the theoretical technology acceptance model, the relationship between age and gender was very weak. When age and gender were removed from the model, voluntariness had a weak effect, suggesting other environmental factors play a larger role in explaining subjective normative factors within a radiologic environment.
  
  
  CONCLUSIONS
  In contrast to other technology adoption studies, age and gender were not significantly associated with radiographers' acceptance and use of technology. Age and gender patterns do not apply to the adoption of digital imaging for this population. Therefore, one can conclude that in an environment in which digital imaging equipment use is mandated, additional sociocontextual variables play a role in the radiographers' intention to use the technology.
authors.affiliation: School of Allied Medical Professions at The Ohio State University in Columbus, USA.
authors.forename: Nina
authors.initials: N
authors.lastname: Kowalczyk
mesh_terms: D000328:Adult; D017677:Age Distribution; D001291:Attitude of Health Personnel; D005260:Female; D019538:Health Care Surveys; D006801:Humans; D008297:Male; D008503:Medical Staff / Q000706:statistics & numerical data*; D008875:Middle Aged; D011856:Radiographic Image Enhancement; D011859:Radiography / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014481:United States; D014600:Utilization Review; D055815:Young Adult