Table 3

Participants' socio-demographics and IoT behaviors

ItemCategoryFrequency%ItemCategoryFrequency%
AgeBorn 1981–19891704.250Average household IncomeLess than 2,0005915.000
Born 1990–199618345.7502,000 – less than 5,0007017.000
Born 1997–201220050.0005,000 – less than 10,0008521.300
    Over 10,00018646.500
GenderFemale17243.000OccupationWhite collar8621.500
Male22857.000Blue collar29473.500
    Other205.000
Marital statusSingle23959.000EducationElementary school10.300
Married14536.000High school6315.8
Divorced/Separated133.000College degree10426.0
Widowed30.800Graduate degree10225.5
    Postgraduate degree10726.8
    Other235.8
Reasons for buying IoTSocial influence6315.800Reasons for not buying IoTSocial influence164.000
Ease of use10426.000Lack of trust10726.800
Trendy133.300Lack of availability36090.000
Fun102.500Lack of relevance10426.000
Reliable36190.300Not aware8621.500
Other164.000Expensive23959.000
    Other133.000
IoT ownedCars71.800IoT future purchasesCars10454.000
Fashion/Accessories15939.800Fashion/Accessories10226.000
Home appliance184.500Home appliance10725.500
Home entertainment10726.800Home entertainment21626.800
Smart health-product71.800Smart health-product10726.800
others30.800others184.500

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