Evaluating informatics applications - some alternative approaches: theory, social interactionism, and call for methodological pluralism
By Bonnie Kaplan. Int. J. Medical Informatics, 2001
424 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/8cfb68ce6af57ffeaa858a6171560eb631bbc04c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Maryati Mohd. Yusof
- Anastasia Papazafeiropoulou
- Lampros K. Stergioulas
- Jasna Kuljis
- Claudia Pagliari
- Graham Peter Pervan
- Louise K. Schaper
- Joseph A. Maxwell
In Management Science and Operations Research
- Claudia Pagliari
- Graham Peter Pervan
- Louise K. Schaper
- Joseph A. Maxwell
- Robert L. Wears
- Ben-Tzion Karsh
- Maryati Mohd. Yusof
- Anastasia Papazafeiropoulou
In Sociology and Political Science
- Anastasia Papazafeiropoulou
- Maryati Mohd. Yusof
- Lampros K. Stergioulas
- Jasna Kuljis
- Claudia Pagliari
- Graham Peter Pervan
- Louise K. Schaper
- Joseph A. Maxwell
Citations in the corpus
- THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, neutral): “Although a purely theorybased approach—which might for instance add the compatibility variable from Rogers’ Innovation Diffusion Theory [63]—can be useful, empirical work may still be necessary to (a) determine whether those variables are relevant to health care, and (b) contextualize these new vari”
- Qualitative Research Methods for Evaluating Computer Information Systems (2005, background): “rates, retrievability, usage rates, user satisfaction, and clinician behavior changes [ 2 ,3].”
- A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies (2011, neutral): “There are simply too many confounding factors that cannot be controlled or anticipated [83,92,93].”
- An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit) (2008, background): “Kaplan [3] shows that poor fit between system developers’ goals and clinicians’ cultural values contributes to user reluctance to use Clinical Decision Support”
- The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview (2011, background): “Evaluations have to date largely favoured simplistic approaches, which have provided little insight into why a particular outcome has occurred [145].”
- Health information technology: fallacies and sober realities (2010, background): “As a result, problems have been framed too narrowly, leading to impoverished designs and disappointing ‘solutions’.(85) Understanding what would help people in their complex work is not as simple as asking them what they want(86)dan all too common approach in HIT design.”
- ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists (2007, background): “…for the investigation of organisational facilitating conditions can be found in the health informatics literature (Anderson 1997; Kaplan 1997; Kaplan 2001) and telemedicine studies (Gagnon et al. 2003) and in the information systems literature (Bergeron, Rivard & DeSerre 1990; Igbaria et al.…”
- Evaluating informatics applications - clinical decision support systems literature review (2001, methodology): “Fuller implications of these observations, together with an analytical critique of the literature, are discussed elsewhere in this volume [58].”
- Overview of the Health Informatics Research Field: A Bibliometric Approach (2010, neutral): “[45] (1202) Kaplan [24] (1289) Kulikowski [33] (1290) Martin-Sanchez et al.”