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UK/Global Technology Readiness Index
Data Science and Analytics
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About
Survey data compiled to measure technology usage patterns, perceived benefits, perceived risks, and barriers to adoption among individuals. The objective was to capture quantitative measurements of consumer likelihood to adopt new technologies and their willingness to recommend them to others. The findings stem from a survey administered to a random sample of respondents, focusing on the factors that influence household technology integration.
Columns
The dataset contains 33 variables detailing demographic information, frequency of device use, perceptions, influences, and barriers, including:
- Age: The age of the survey respondent, ranging from 19 to 73.
- Gender: The declared gender of the respondent (e.g., Male, Female).
- EducationLevel: The highest educational qualification attained by the respondent (e.g., Bachelor's Degree, Master's Degree).
- HouseholdIncome: The annual household income of the respondent, measured in INR lakhs.
- Frequency_Device: Scores indicating how often various devices are used (e.g., Laptop/Desktop, Smartphone, Smart Home Devices, Gaming Consoles) on a scale typically ranging from 0 to 5.
- LikelinessToAdopt: Scores measuring the respondent's likelihood of adopting new technology.
- Benefit_Factor: Ratings for perceived benefits of technology, such as Productivity Efficiency, Communication Connectivity, and Entertainment.
- Risk_Factor: Ratings for perceived risks, including Security Privacy, Excess Screen Time, Addiction, and potential Health concerns.
- Influence_Factor: Scores indicating the level of influence from sources like Family Friends, Promotional Activities, and Expert Recommendations.
- Barrier_Factor: Ratings assessing perceived barriers to adoption, such as High Price, Lack of Technical Knowledge, and need for Reliable Internet.
- LikelinessToRecommend: Scores reflecting the respondent's willingness to recommend technology.
Distribution
The data file is structured as a single dataset named
Dataset - Factors Influencing Technology Adoption in Consumer Households.csv. It contains 33 distinct variables. The total file size is approximately 10.57 kB. The dataset currently consists of 107 valid records or rows. As a raw survey export, the typical format is CSV.Usage
This data is ideal for market researchers seeking to segment populations based on tech attitudes and usage frequencies. It can be used by data scientists to build predictive models regarding technology adoption likelihood. It is also valuable for academic researchers studying consumer behaviour, psychology, and the socio-economic factors influencing technology penetration in households. Specific use cases include identifying key purchase motivators and developing targeted risk mitigation strategies.
Coverage
The data focuses on individual respondents, capturing basic demographics such as age, gender, and education level. Household income is specified in INR, suggesting a primary geographical focus on consumer households in India. Age coverage ranges from 19 to 73 years old. The dataset does not specify a collection time frame but represents a snapshot of attitudes toward technology perception and usage.
License
CC0: Public Domain
Who Can Use It
- Technology Providers: To understand which devices are frequently used and what risks consumers are most concerned about.
- Economists: To analyse the correlation between household income and the likelihood of technology adoption.
- Social Scientists: To explore how social influences (family, friends, endorsements) affect consumer decisions.
- Public Policy Developers: To address key barriers, such as the need for improved technical knowledge or reliable internet access, that impede technology integration.
Dataset Name Suggestions
- Household Technology Perception and Adoption Metrics
- Consumer Survey on Technology Barriers and Benefits
- UK/Global Technology Readiness Index
- Factors Influencing Household Device Adoption
Attributes
Original Data Source: UK/Global Technology Readiness Index
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