Electronic medical record system avoidance in a turbulent environment

Roberts, Nicholas; Mellott, Mark; Dinger, Michael; Campbell, Damon E.

doi:10.1016/j.im.2016.01.003

Cited by 8 publications

(2 citation statements)

References 71 publications

(89 reference statements)

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“…The likelihood for infection in youngsters and rural populations, the virus incubation period, undiagnosed cases, and the longevity of the COVID-19 transmission period all contribute to COVID-19's unpredictable nature [22]. Previous research has shown that avoiding EMR adoption in a tumultuous environment has a favorable effect [23]. As a result, we contend that COVID-19's dynamism, complexity, and unpredictability may have a negative impact on HIT implementation.…”

Section: H3 the Use Of Hit Is Positively Influenced By Mimetic Pressurementioning

confidence: 91%

HIT Institutionalization During the Covid-19 Turbulence

Izharuddin¹,

Chen²,

Sukoco³

2022

Advances in Economics, Business and Management Research

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Implementing health information technology (HIT) is one strategy to reduce healthcare costs. However, realizing it remains a struggle. We strive to better understand the utilization of HIT within healthcare organizations by using an institutional theory and environmental turbulence. We used survey data from 432 healthcare professionals to test structural equation modeling. The findings reveal that institutional pressure and environmental turbulence have a variety of (both good and negative) effects on HIT usage. In the study’s last session, academic and management contributions were further reviewed, as well as limitations and suggestions for future research.

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Section: H3 the Use Of Hit Is Positively Influenced By Mimetic Pressurementioning

confidence: 91%

HIT Institutionalization During the Covid-19 Turbulence

Izharuddin¹,

Chen²,

Sukoco³

2022

Advances in Economics, Business and Management Research

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“…Ambivalence thus can be created by conflicting thoughts and feelings within the same object. Prior studies have reported its existence in individual decisions towards many types of contemporary IS, such as online review platforms (Qahri-Saremi and Montazemi, 2019), social networking sites (Qahri-Saremi and Turel, 2020), and electronic medical record systems (Roberts et al, 2016). For example, individual evaluations of EWOM (Electronic Word of Mouth) information are ambiguous to differential interpretations in post-adoptive IS use.…”

Section: Ambivalencementioning

confidence: 99%

Conflicting social influences regarding controversial information systems: the case of online dating

Chen

Turel

Yuan

2022

ITP

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PurposeControversial information systems (IS) represent a unique context in which certain members of a user's social circle may endorse the use of a system while others object to it. The purpose of this paper is to explore the simultaneous and often conflicting roles of such positive and negative social influences through social learning and ambivalence theories in shaping user adoption intention of a representative case of controversial IS, namely online dating services (ODS).Design/methodology/approachThe model was tested with two empirical studies using structural equation modeling techniques. The data of these studies were collected from 451 (Study 1) and 510 (Study 2) single individuals (i.e. not in a relationship).Findings(1) Positive social influence has a stronger impact on perceived benefits and adoption intention, while negative social influence exerts a greater impact on perceived risks; (2) positive and negative social influences affect adoption intention toward ODS differently, through benefit and risk assessments; and (3) ambivalence significantly negatively moderates the effects of social influences on adoption.Originality/valueThis study enriches and extends the IS use, ambivalence theory, prospect theory, and social learning theory research streams. Furthermore, this study suggests that it is necessary to focus on not only the oft-considered positive but also negative social influences in IS research.

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Understanding physicians’ adoption of electronic medical records: Healthcare technology self-efficacy, service level and risk perspectives

Tsai

Hung

et al. 2019

Computer Standards & Interfaces

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Electronic medical record system avoidance in a turbulent environment

Cited by 8 publications

References 71 publications

HIT Institutionalization During the Covid-19 Turbulence

HIT Institutionalization During the Covid-19 Turbulence

Conflicting social influences regarding controversial information systems: the case of online dating

Understanding physicians’ adoption of electronic medical records: Healthcare technology self-efficacy, service level and risk perspectives

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