Technophobia: Incidence and potential causal factors

Frideres, James S.; Goldenberg, Sheldon; DiSanto, Joseph E.; Fleising, Usher

doi:10.1007/bf00318077

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…In order to establish initial content validity (Carmines & Zeller, 1980), the itemgeneration process was facilitated by in-depth expert interviews with fellow researchers. In addition, earlier research on computer usage and computer anxiety (Frideres et al, 1983;Heinssen, Glass, & Knight, 1987;Meier, 1988a;Röglin, 1994;Rosen, Sears, & Weil, 1987) was utilized in the item-generation process.…”

Section: Methodsmentioning

confidence: 99%

“…Following the scale development process suggested by Churchill (1979), we started specifying the research domain by screening the relevant literature. The Anglo-American literature offers a starting point for the development of a technophobia scale (e.g., Frideres et al, 1983;Heinssen, Glass, & Knight, 1987;Meier, 1988b;Rosen, Sears, & Weil, 1987). To a large extent, these contributions took an empirical approach toward technophobia.…”

Section: Literature Reviewmentioning

confidence: 99%

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Reluctance to use technology‐related products: Development of a technophobia scale

Sinkovics

Stöttinger

Schlegelmilch

et al. 2002

Thunderbird Intl Bus Rev

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Many consumers feel overloaded by the complexity of technology-related products. This renders consumers less open to them and may even lead to an aversion or anxiety toward these kind of products: in other words, so-called technophobia.This article aims to establish an instrument that measures technophobia. Following a literature review and in-depth interviews with experts, a scale is developed and tested in seven different countries (

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Reluctance to use technology‐related products: Development of a technophobia scale

Sinkovics

Stöttinger

Schlegelmilch

et al. 2002

Thunderbird Intl Bus Rev

View full text Add to dashboard Cite

show abstract

“…2). The fault mainly lies with (1) people selectively answering some questions and not others and (2) non-participant technophobes [10] or (3) the clicker keypads not efficiently registering responses. The issues raised in the first two points may be overcome by offering low cost incentives which have been shown to increase participation rate in online survey-based research [11].…”

Section: Discussionmentioning

confidence: 99%

The Pros and Cons of Using Personal Response Systems in an Interactive Scientific Debate

Kavanagh

Jones

2017

BJESBS

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Aims: To assess the suitability of personal response system (PRS) clickers as an audience engagement tool to make conference debates a more interactive learning experience. Study Design: We studied the suitability of PRS to moderate and compile data on a scientific debate that was the centerpiece of an international conference. The debate explored the issues pertaining to the introduction of Genetically-Modified (GM) foods into Europe and involved a panel of some of the world's leading scientific authorities on this subject. Methodology: 173 delegates were issued with PRS handsets and audience demography was collected immediately prior to debate commencement. The audience was polled on their opinion on the debate motion during the event and PRS was used to instantly screen poll results and changes in inter-poll opinions to the audience. Results: (i) Pros: PRS effectively controlled debate timings, rendered the event interactive stimulating audience engagement, compiled the respondents' opinions on GM foods and instantly

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“…With respect to information management, most of the previous studies on the acceptance or adoption of innovation technologies were carried out from “positive” perspectives, such as perceived usefulness and perceived ease of use, with regards to the Technology Acceptance Model (TAM) [ 5 ]. Only a few studies have adopted systematic methods (such as model validation) to discuss the negativity of users toward innovation technologies, such as perceived threats [ 6 ], innovation resistance [ 7 ], and technophobia [ 8 ]. The situation is the same in the healthcare field [ 9 - 14 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan

Liu

Cheng

2015

BMC Med Inform Decis Mak

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BackgroundWith respect to information management, most of the previous studies on the acceptance of healthcare information technologies were analyzed from “positive” perspectives. However, such acceptance is always influenced by both positive and negative factors and it is necessary to validate both in order to get a complete understanding. This study aims to explore physicians’ acceptance of mobile electronic medical records based on the dual-factor model, which is comprised of inhibitors and enablers, to explain an individual’s technology usage. Following an earlier healthcare study in the USA, the researchers conducted a similar survey for an Eastern country (Taiwan) to validate whether perceived threat to professional autonomy acts as a critical inhibitor. In addition, perceived mobility, which is regarded as a critical feature of mobile services, was also evaluated as a common antecedent variable in the model.MethodsPhysicians from three branch hospitals of a medical group were invited to participate and complete questionnaires. Partial least squares, a structural equation modeling technique, was used to evaluate the proposed model for explanatory power and hypotheses testing.Results158 valid questionnaires were collected, yielding a response rate of 33.40%. As expected, the inhibitor of perceived threat has a significant impact on the physicians’ perceptions of usefulness as well as their intention to use. The enablers of perceived ease of use and perceived usefulness were also significant. In addition, as expected, perceived mobility was confirmed to have a significant impact on perceived ease of use, perceived usefulness and perceived threat.ConclusionsIt was confirmed that the dual-factor model is a comprehensive method for exploring the acceptance of healthcare information technologies, both in Western and Eastern countries. Furthermore, perceived mobility was proven to be an effective antecedent variable in the model. The researchers believe that the results of this study will contribute to the research on the acceptance of healthcare information technologies, particularly with regards to mobile electronic medical records, based on the dual-factor viewpoints of academia and practice.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-014-0125-3) contains supplementary material, which is available to authorized users.

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Technophobia: Incidence and potential causal factors

Cited by 6 publications

References 7 publications

Reluctance to use technology‐related products: Development of a technophobia scale

Reluctance to use technology‐related products: Development of a technophobia scale

The Pros and Cons of Using Personal Response Systems in an Interactive Scientific Debate

Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan

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