Data

Understanding the motivations and barriers to adoption and effective use of connectivity technologies by SMEs in RRR Australia: Survey data

James Cook University
Wilson, Carrie-Ann ; Hay, Rachel ; Atkinson, Ian
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/dbvn-1t91&rft.title=Understanding the motivations and barriers to adoption and effective use of connectivity technologies by SMEs in RRR Australia: Survey data&rft.identifier=10.25903/dbvn-1t91&rft.publisher=James Cook University&rft.description=Project aims: Digital connectivity is increasingly becoming critical to not only growth, but survival, for many rural, regional and remote (RRR) businesses. For a long time, lack of reliable access has been one of the main barriers to adoption of digital connectivity technologies in RRR areas of Australia. However, in recent years internet access has improved and key emerging issues include a lack of adoption, or ineffective use of these technologies. This project will explore the human factors that influence the implementation and adoption of connectivity technologies by small and medium enterprises (SMEs) in RRR Australia. Project methods: The study is designed as a sequential mixed methods research project. Taking an iterative approach, quantitative and qualitative methods will be mixed over five phases to gain an understanding of the human factors that influence the adoption and implementation of connectivity technology in RRR SME. Each phase will expand on the findings from the previous phase.Phase 1: Exploratory Research - Co-design and Literature Review exploration of topicPhase 2: Online Survey - Quantitative researchPhase 3: Initial Data Analysis - identify areas for further explorationPhase 4: Online Focus Groups - Qualitative research to expand on findingsPhase 5: Detailed Data AnalysisThis dataset consists of the codebook and survey results (processed and de-identified) for Phase 2: Online Survey. The data is an MS Excel (.xlsx) workbook containing 2 datasheets and has also been saved in OpenDocument (.ods) format for long-term access and preservation. Software/equipment used to create/collect the data: Qualtrics Software/equipment used to manipulate/analyse the data: Microsoft Excel, SPSS&rft.creator=Wilson, Carrie-Ann &rft.creator=Hay, Rachel &rft.creator=Atkinson, Ian &rft.date=2022&rft.coverage=Australia&rft_rights=&rft_rights=CC BY: Attribution 3.0 AU http://creativecommons.org/licenses/by/3.0/au&rft_subject=connectivity&rft_subject=technology adoption&rft_subject=broadband&rft_subject=digital inclusion&rft_subject=rural&rft_subject=regional&rft_subject=Australia&rft_subject=business&rft_subject=SME&rft.type=dataset&rft.language=English Access the data

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Full description

Project aims: Digital connectivity is increasingly becoming critical to not only growth, but survival, for many rural, regional and remote (RRR) businesses. For a long time, lack of reliable access has been one of the main barriers to adoption of digital connectivity technologies in RRR areas of Australia. However, in recent years internet access has improved and key emerging issues include a lack of adoption, or ineffective use of these technologies. This project will explore the human factors that influence the implementation and adoption of connectivity technologies by small and medium enterprises (SMEs) in RRR Australia.

Project methods: The study is designed as a sequential mixed methods research project. Taking an iterative approach, quantitative and qualitative methods will be mixed over five phases to gain an understanding of the human factors that influence the adoption and implementation of connectivity technology in RRR SME. Each phase will expand on the findings from the previous phase.

Phase 1: Exploratory Research - Co-design and Literature Review exploration of topic
Phase 2: Online Survey - Quantitative research
Phase 3: Initial Data Analysis - identify areas for further exploration
Phase 4: Online Focus Groups - Qualitative research to expand on findings
Phase 5: Detailed Data Analysis

This dataset consists of the codebook and survey results (processed and de-identified) for Phase 2: Online Survey.
The data is an MS Excel (.xlsx) workbook containing 2 datasheets and has also been saved in OpenDocument (.ods) format for long-term access and preservation.

Software/equipment used to create/collect the data: Qualtrics

Software/equipment used to manipulate/analyse the data: Microsoft Excel, SPSS

Created: 2022-09-23

Data time period: 03 09 2021 to 19 10 2021

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Identifiers
  • Local : https://research.jcu.edu.au/data/published/7690cff037df11ed907d2d60f024bc99
  • DOI : 10.25903/dbvn-1t91