Collaborative and Iterative Translation: An Alternative Approach to Instrument Translation

Douglas, Susan P.; Craig, S. E.

doi:10.2139/ssrn.946274

Cited by 13 publications

(9 citation statements)

References 8 publications

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“…For reasons of comprehensibility, we decided to measure behavioral intention with the subscale of the unified theory of acceptance and use of technology (UTAUT), instead of the TAM3 (Maruping et al 2017). As there existed no German translations of either of these instrument yet, we translated them ourselves using the collaborative and iterative translation technique (Douglas and Craig 2007; German items are in the appendix). Additionally, we changed the wording so that the items fit the context of learning R. Except for use, all scales were measured with a seven-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree), and the option prefer not to say.…”

Section: Methodsmentioning

confidence: 99%

How to raise technology acceptance: user experience characteristics as technology-inherent determinants

et al. 2020

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This paper in the journal "Gruppe. Interaktion. Organisation. (GIO)" presents a study that investigated user experience characteristics as determinants of technology acceptance. Organizations planning to implement new technologies are confronted with the challenge to ensure user acceptance. Barely accepted technologies are used less often, result in lower job satisfaction, and ultimately lead to performance losses. The technology acceptance model (Venkatesh and Bala 2008) incorporates determinants of information technology use. The model's predictors have a strong focus on interindividual user characteristics (such as computer self-efficacy) and the job context (e.g., voluntariness). Yet, what is lacking in the model, are characteristics of the technology itself that can be used as starting points to design better technologies. To bridge this gap, we introduce the User Experience Technology Acceptance Model, and provide a first test of this model. In our online survey (N = 281), we investigated how technological determinants, more specifically user experience characteristics, affected technology acceptance. Except for two paths of our proposed model, all path coefficients were significant with small to large effect sizes (f 2 = 0.02-0.66). User experience predictors resulted in 60.6% of explained variance in perceived ease of use, 38.2% of explained variance in perceived usefulness, and 25.8% of explained variance in behavioral intention. Our results provide mostly support for our extension of the technology acceptance model. The technology-inherent characteristics output quality, perspicuity, dependability, and novelty were significant predictors of technology acceptance. We discuss theoretical and practical implications with the focus on technology designers, change managers, and users.

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Section: Methodsmentioning

confidence: 99%

How to raise technology acceptance: user experience characteristics as technology-inherent determinants

et al. 2020

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“…All materials were available in English, Dutch, and Flemish. A collaborative and iterative approach (Douglas & Craig, 2006) was employed to translate the original English survey. Back-translation was performed by a native (English) speaker, followed by a small pilot study with a client panel (from addiction services), not associated with the project.…”

Section: Life In Recovery Surveymentioning

confidence: 99%

Comparing three stages of addiction recovery: long-term recovery and its relation to housing problems, crime, occupation situation, and substance use

Martinelli

Nagelhout

Bellaert

et al. 2020

Drugs: Education, Prevention and Policy

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People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…To ensure that the German version of the survey mirrored the English version, we followed the back-translation procedure recommended by Brislin (1970Brislin ( , 1980, which has been widely used in social sciences to test the accuracy of the translation and detect any errors (Douglas & Craig, 2006). The bilingual co-author, whose native language is German, translated the survey into German.…”

Section: Samplesmentioning

confidence: 99%

Measuring the values that underlie sustainable development: The development of a valid scale

Shepherd

Kuskova

Patzelt³

2009

Journal of Economic Psychology

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Collaborative and Iterative Translation: An Alternative Approach to Instrument Translation

Cited by 13 publications

References 8 publications

How to raise technology acceptance: user experience characteristics as technology-inherent determinants

How to raise technology acceptance: user experience characteristics as technology-inherent determinants

Comparing three stages of addiction recovery: long-term recovery and its relation to housing problems, crime, occupation situation, and substance use

Measuring the values that underlie sustainable development: The development of a valid scale

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