**** Data and Analysis Underlying Study of Factors Affecting User's Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia ****
Author: Siska Fitrianie, Corine Horsch, Robbert Jan Beun, Fiemke Griffioen-Both, Willem-Paul Brinkman
Corresponding author: Siska Fitrianie, s.fitrianie@tudelft.nl
https://doi.org/10.4121/16825843

Interactive Intelligence Group
Department of Intelligent Systems
P.O. Box 5031,
2600 GA Delft,
The Netherlands

Description of the dataset
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The archive.zip is a complementary material of the article: Siska Fitrianie, Corine Horsch, Robbert Jan Beun, Fiemke Griffioen-Both and Willem-Paul Brinkman. Factors Affecting User’s Behavioral Intention and Use
of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis. Journal of Medical Systems 45, 110 (2021), https://doi.org/10.1007/s10916-021-01785-w.
It contains data, scripts and analysis based on a field trial involving people (n = 89) with relatively mild insomnia using a Cognitive Behavioral Therapy
of-Insomnia (CBT-I) app. To access the content, one can follow the table of content in index.html, which is corresponding to the table of content of the article.

The participants of the field trial were recruited from August 15 to October 21, 2015, via websites, social media, online advertisements, flyers,
and a press release. 151 participants out of an initial group of 639 voluntarily
recruited individuals were included based on some inclusion and exclusion criteria. 118 participants installed the app on their mobile devices,
but only 89 participants filled in the tailor-made Sleep App Acceptance Questionnaire. Specifically, only the latter participants' data (n = 89) was
included in this dataset and further used for the analysis in the article.

The trial was approved by the Internal Ethical Review Board of the University of Amsterdam and registered at trialregister.nl (NTR5560).
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or
national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. 

Abstract of the article Fitrianie et al. (2021)
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A mobile app could be a powerful medium for providing individual support for cognitive behavioral therapy (CBT), as well as facilitating therapy adherence.
Little is known about factors that may explain the acceptance and uptake of such applications. This study, therefore, examines factors from an extended version of
the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to explain variation between people’s behavioral intention to use a CBT for insomnia (CBT-I) app and
their use-behavior. The model includes eight aspects of behavioral intention: performance expectancy, effort expectancy, social influence, self-efficacy, trust, hedonic motivation,
anxiety, and facilitating conditions, and investigates further the influence of the behavioral intention and facilitating conditions on app-usage behavior. Data were gathered from a field
trial involving people (n = 89) with relatively mild insomnia using a CBT-I app. The analysis applied the Partial Least Squares-Structural Equation Modeling method. The results found that
performance expectancy, effort expectancy, social influence, self-efficacy, trust, and facilitating conditions all explained part of the variation in behavioral intention, but not beyond
the explanation provided by hedonic motivation, which accounted for R2 = .61. Both behavioral intention and facilitating conditions could explain the use-behavior (R2 = .32). We anticipate
that the findings will help researchers and developers to focus on: (1) users’ positive feelings about the app as this was an indicator of their acceptance of the mobile app and usage; and
(2) the availability of resources and support as this also correlated with the technology use.

Requirements
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1. Internet Browser
2. SmartPLS http://www.smartpls.com (optional) to run smartpls codes in:
   acceptance_research/smartpls/Intention-Usage/
   acceptance_research/smartpls/BI_as_DV/
   acceptance_research/smartpls/UB_as_DV/
   acceptance_research/smartpls/mediation_HM-BI-UB/
3. Ms Excel 2003 or higher (optional) to open the xlxs files of the smartpls results
4. R version 3.3.3 or higher (optional) to run R codes in:
   acceptance_research/r_script
   
   
Quick Instruction
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1. Unzip Archive.zip
2. Run index.html on an internet browser
3. Follow the table of content that is corresponding with the article Fitrianie et al. (2021)
4. Use provided links to access codes, data and analysis results