Dispositional resistance to change and hospital physicians' use of electronic medical records: A multidimensional perspective

Nov, Oded; Schecter, William P.

doi:10.1002/asi.22602

Cited by 26 publications

(31 citation statements)

References 71 publications

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“…Personal norms "Described as the feeling of personal obligation regarding the performance of a given behavior, and self-identity, which refers to the degree of congruence between the individual's perception of self and the characteristics he or she associates with the realization of the behavior" (Gagnon et al, 2010, p. 5). Gagnon et al, 2010;Nov & Schecter, 2012 Theory of interpersonal behavior 2 Users' autonomy "There was a strong negative direct relationship between autonomy and attitude about EHR use. This relationship was not" (Morton & Wiedenbeck, 2009, p. 5).…”

Section: Psychological Factorsmentioning

confidence: 99%

“…Cotea, 2010;Kemper et al, 2006;Vishwanath & Scamurra, 2007;Zheng et al, 2010 Social contagion theory 4 usefulness is defined as an individual's belief about using a particular system that can help him or her to improve performance. A perceived usefulness or perceived benefit is found to be a key psychological factor influencing EMR adoption (Morton & Wiedenbeck, 2010;Nov & Schecter, 2012;Vathanophas & Pacharapha, 2010). Table 5 shows the list of psychological factors derived from the literature.…”

Section: Individual Experiencementioning

confidence: 99%

“…Some HPs have also expressed concerns about EHRs affecting their communication with patients such as loss of eye contact, which is against the social norm for physicians to avoid using the computer while with the patient" (Cotea, 2010, p. 12). Boonstra & Broekhuis, 2010;Cotea, 2010;Holden, 2011;Kemper et al, 2006;Lee, 2011;Nov & Schecter, 2012;Rao et al, 2011;Scholl et al, 2011;Sibona, Brickey, Walczak, & Parthasarathy, 2010;Yoon et al, 2012 IDT 10 User attitude toward information systems "We have defined user attitude towards information systems to characterize a subjective critical adoption factor of the electronic health records. .…”

Section: Non-significantmentioning

confidence: 99%

“…Andrew Schwarz, 2011;Archer & Cocosila, 2011;Boonstra & Broekhuis, 2010;Davidson & Heslinga, 2006;Heselmans et al, 2012;Hewitt, 2009;Marques et al, 2011;Morton & Wiedenbeck, 2009, 2010Nov & Schecter, 2012;Vathanophas & Pacharapha, 2010;Wang & Biedermann, 2012;Wilkins, 2009;Wright & Marvel, 2012 TAM, TRA,IDT,TPB, UTAUT 14…”

Section: Idtmentioning

confidence: 99%

See 3 more Smart Citations

A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research

Najaftorkaman

Ghapanchi

Talaei-Khoei

et al. 2014

Asso for Info Science & Tech

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In the past three decades, several studies have extracted antecedents to the user adoption of health information systems (HIS). This study proposes a reflective pause on the HIS adoption literature to broaden our understanding of factors contributing to the user adoption of electronic medical record (EMR). This paper provides a comprehensive taxonomy of the factors influencing the user adoption of EMR and classifies these factors into meaningful categories. We searched the selected keywords on several academic databases and found an initial set of 9,684 studies. We excluded papers on the basis of their title, abstract, and full text (89 remaining papers). The effectiveness of adoption theories has been explored based on the empirical results identified in the EMR research. Furthermore, according to the conceptualization of the factors in the literature, a list of 78 factors affecting EMR adoption was identified. These factors were classified to eight categories: individual factors, psychological factors, behavioural factors, environmental factors, organizational factors, financial factors, legal factors, and technical factors. The results have implications for researchers and practitioners, including policymakers, marketers, information technology (IT) professionals, health information management (HIM) practitioners, health practice managers, and EMR system developers.

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Section: Psychological Factorsmentioning

confidence: 99%

Section: Individual Experiencementioning

confidence: 99%

Section: Non-significantmentioning

confidence: 99%

Section: Idtmentioning

confidence: 99%

See 2 more Smart Citations

A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research

Najaftorkaman

Ghapanchi

Talaei-Khoei

et al. 2014

Asso for Info Science & Tech

View full text Add to dashboard Cite

show abstract

“…Much has been written on the roles of specific factors in the employment and the use of EHR by healthcare provider organizations. Some issues addressed include overcoming change resistance [Nov and Schecter 2012], influencing adoption attitudes [Angst and Agarwal 2009], internalizing adoption intent [Hennington et al 2009], shaping usage through individual actions [Jensen et al 2009], selecting appropriate enterprise application strategies [Fareed et al 2012], generating critical mass [Ayers et al 2009], ensuring technology usability [Schumacher and Jerch 2012;Swanson and Lind 2011], improving task-technology fit [El-Gayar et al 2010], and creating process and workflow integration [Hoffmann 2009]. However, the link between incentives and EHR adoption has never been examined, although the general literature on incentives is replete with reports of unintended consequences and perverse outcomes (e.g., [Ginsburg and Grossman 2005;Naylor et al 2012]).…”

Section: Introductionmentioning

confidence: 99%

Business Benefits or Incentive Maximization? Impacts of the Medicare EHR Incentive Program at Acute Care Hospitals

Mirani

Harpalani

2013

ACM Trans. Manage. Inf. Syst.

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This study investigates the influence of the Medicare EHR Incentive Program on EHR adoption at acute care hospitals and the impact of EHR adoption on operational and financial efficiency/effectiveness. It finds that even before joining the incentive program, adopter hospitals had more efficient and effective Medicare operations than those of non-adopters. Adopters were also financially more efficient. After joining the program, adopter hospitals treated significantly more Medicare patients by shortening their stay durations, relative to their own non-Medicare patients and also to patients at non-adopter hospitals, even as their overall capacity utilization remained relatively unchanged. The study concludes that many of these hospitals had implemented EHR even before the initiation of the incentive program. It further infers that they joined this program with opportunistic intentions of tapping into incentive payouts which they maximized by taking on more Medicare patients. These findings give credence to critics of the program who have questioned its utility and alleged that it serves only to reward existing users of EHR technologies.

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Beyond the individual‐level conceptualization of dispositional resistance to change: Multilevel effects on the response to organizational change

Sverdlik

Oreg

2022

J Organ Behavior

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We know much about the factors that determine employees' responses to organizational change. Among these, key factors are those that have to do with employees' personal dispositions and those that have to do with the organizational context. In the present study, we focus on dispositional resistance to change and demonstrate how it can be used at the collective level as a means of characterizing organizations rather than individuals. Specifically, we use it to capture organizations' collective orientation toward change and demonstrate its effects above and beyond the effects of individuals' dispositional resistance. Using data from 84 principals and 395 teachers, we demonstrate the complementary roles of employees', principals', and organizations' dispositional resistance to change in predicting employees' attitudes toward the introduction of changes in the organization. We discuss the implications of our findings for understanding responses to organizational change and more broadly for the notion of translating dispositional variables to the organizational level.

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Dispositional resistance to change and hospital physicians' use of electronic medical records: A multidimensional perspective

Cited by 26 publications

References 71 publications

A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research

A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research

Business Benefits or Incentive Maximization? Impacts of the Medicare EHR Incentive Program at Acute Care Hospitals

Beyond the individual‐level conceptualization of dispositional resistance to change: Multilevel effects on the response to organizational change

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