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DTSTAMP:20241105T062503Z
SUMMARY:David Gefen\, PhD - LeBow College of Business\, Decision Sciences &
  MIS
DESCRIPTION: \n\nAbstract\n\nAt the core of many models of technology adopt
 ion is the recognition\nthat new adopters are influenced by earlier ones. 
 That recognition is\nat the core of the Bass model and is implied in the t
 heory base of\nmuch MIS research. This study adds to that theme how inform
 ation\naccess inequality among the early adopters changes the behavior of 
 the\nsecond wave of users of a Health Information Exchange (HIE) in an\nem
 ergency room setting. Information access inequality measures\, as an\nadap
 ted Gini coefficient\, the relative number of participating\nclinicians ac
 ross medical sites. Specifically\, the monthly rate of\nthis user-base Gin
 i coefficient in the first wave implementation\nhospitals\, theoretically 
 showing that a broader participation of\nprevious adopter clinicians acros
 s sites is more valuable\, directly\npredicted the adoption rate of how ma
 ny clinicians used the HIE in the\nsecond wave implementation hospitals th
 at month over and above the\nexpected month on month increase and the effe
 ct of more patients. And\,\nthis Gini coefficient indirectly\, through the
  number of adopters in\nboth implementation waves\, predicted how much inf
 ormation was accessed\nin the second wave implementation hospitals that mo
 nth. Implications\nare discussed also in the broader context of other type
 s of IT.\n\nKeywords: Health Information Exchange (HIE)\, Base Model\, Sec
 ond wave\nimplementation\, Gini Coefficient\, Information Access Inequalit
 y.\n\nFor more information on Dr. Gefen\, please click here\n[https://www.
 lebow.drexel.edu/search/content/gefen]\n 
DTSTART:20191004T143000Z
DTEND:20191004T155000Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 409\, Philadelphia\, PA
  19104
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