Physicians’ acceptance of pharmacokinetics-based clinical decision support systems

Chang, I-Chiu; Hwang, Hsin‐Ginn; Hung, Won-Fu; Li, Yi-Chang

doi:10.1016/j.eswa.2006.05.001

Cited by 205 publications

(154 citation statements)

References 33 publications

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“…Effort expectancy -unlike perceived ease of use in TAM or decomposed TPB -was also found to be important, while social influence and facilitating conditions were of minor importance for predicting acceptance. Variance explained in behavioural intention was in the range .28 to .48, thus somewhat lower than in the TAM-studies, while a sharp contrast in the prediction of self-reported use (variance explained .43 vs. .03) between Chang, Hwang, Hung, & Li (2007) and existed. The very small amount of variance explained in the latter study could however be attributed to a ceiling effect as their physicians scored very high on both behavioural intention and self-reported use.…”

Section: Models and Influencing Factorsmentioning

confidence: 76%

“…Although UTAUT holds four moderators, none of the studies that tested UTAUT included moderating variables (Alapetite, et al, 2009;Chang, et al, 2007;. found some differences between male and female physicians and over time (as users got more experience), but just as in Alapetite, et al (2009), the influence of growing experience on user acceptance was not statistically tested.…”

Section: Discussionmentioning

confidence: 99%

“…Comparing the results of the pre-implementation studies with those conducted while the system was in use, one observation stands out: the role of effort expectancy (or perceived ease of use). With the exception of Chang, et al (2007), none of the post-implementation studies found a direct effect of ease of use on acceptance, whereas effort expectancy directly influenced acceptance in all pre-implementation studies, albeit only marginally in . Otherwise, the ease of logging in into the system (logical access), which is related to ease of use, was found to be important post-implementation (Ilie, et al, 2009).…”

Section: Timing Of the Studymentioning

confidence: 98%

“…To develop these scales, researchers can utilise items from the same pool of items from which the facilitating conditions scale was deduced, see Venkatesh, et al (2003, Table 12). By dissociating this construct, the possible problem (reliability was good in Chang, et al, 2007) of low reliability of the FC-scale as identified by and Gagnon, et al (2003) should be overcome.…”

Section: Discussionmentioning

confidence: 99%

“…Nine studies adopted a one-shot approach: they assessed physicians acceptance on one occasion, either while the system was already in use Chang, et al, 2007;Chau & Hu, 2001, 2002a, 2002bGagnon, et al, 2003;Ilie, et al, 2009;Paré, et al, 2005) or pre-implementation . In two studies (Alapetite, et al, 2009; physicians' acceptance was assessed on two occasions: pre-implementation and while the system was in use.…”

Section: Timing Of the Studymentioning

confidence: 99%

See 4 more Smart Citations

Assessing Hospital Physicians' Acceptance of Clinical Information Systems: A Review of the Relevant Literature

Pynoo¹,

Devolder

Voet³

et al. 2013

PSYCHOL BELG

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Section: Models and Influencing Factorsmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Section: Timing Of the Studymentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Timing Of the Studymentioning

confidence: 99%

See 3 more Smart Citations

Assessing Hospital Physicians' Acceptance of Clinical Information Systems: A Review of the Relevant Literature

Pynoo¹,

Devolder

Voet³

et al. 2013

PSYCHOL BELG

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Consumer segments in social commerce: A latent class approach

Nadeem

Juntunen

2016

J of Consumer Behaviour

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Social commerce is thriving; therefore, it becomes essential to recognize different types of social commerce shopper. In this study, we assume that social networking sites such as Facebook contain differently behaving consumer segments. Based on the assumption that the majority of social commerce shoppers are young adults, we are interested in identifying unobservable shopper segments that the young group may contain. A conceptual model has been tested that incorporates the psychological factor (trust), the unified theory of acceptance and the use of technology (UTAUT2), and behavioral aspects using mixture modeling techniques to reveal the unobservable consumer segments who have searched for clothing items through Facebook when shopping (n = 309). Three segments were found: social patrons (n = 219), wary explorers (n = 72), and sporadic explorers (n = 18). The study is a rare attempt to specifically categorize social commerce shopper segments by using mixture modeling techniques. The study offers further research avenues. Copyright © 2016 John Wiley & Sons, Ltd.

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Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

Békés

Doorn

Zilcha‐Mano

et al. 2021

Clin Psychology and Psychoth

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Objective This study aimed to develop predictive models of three aspects of psychotherapists' acceptance of telepsychotherapy (TPT) during the COVID‐19 pandemic, attitudes towards TPT technology, concerns about using TPT technology and intention to use TPT technology in the future. Method Therapists ( n = 795) responded to a survey about their TPT experiences during the pandemic, including quality of the therapeutic relationship, professional self‐doubt, vicarious trauma and TPT acceptance. Regression decision tree machine learning analyses were used to build prediction models for each of three aspects of TPT acceptance in a training subset of the data and subsequently tested in the remaining subset of the total sample. Results Attitudes towards TPT were most positive for therapists who reported a neutral or strong online working alliance with their patients, especially if they experienced little professional self‐doubt and were younger than 40 years old. Therapists who were most concerned about TPT were those who reported higher levels of professional self‐doubt, particularly if they also reported vicarious trauma experiences. Therapists who reported low working alliance with their patients were least likely to use TPT in the future. Performance metrics for the decision trees indicated that these three models held up well in an out‐of‐sample dataset. Conclusions Therapists' professional self‐doubt and the quality of their working alliance with their online patients appear to be the most pertinent factors associated with therapists' acceptance of TPT technology during COVID‐19 and should be addressed in future training and research.

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Physicians’ acceptance of pharmacokinetics-based clinical decision support systems

Cited by 205 publications

References 33 publications

Assessing Hospital Physicians' Acceptance of Clinical Information Systems: A Review of the Relevant Literature

Assessing Hospital Physicians' Acceptance of Clinical Information Systems: A Review of the Relevant Literature

Consumer segments in social commerce: A latent class approach

Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

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