Differential innovation of smartphone and application use by sociodemographics and personality |
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| Affiliation: | 2. Department of Psychology and Population Research Center, The University of Texas at Austin, 11304 Avering LN., Austin, TX 78754, United States;3. School of Information, The University of Texas at Austin, 11304 Avering LN., Austin, TX 78754, United States;1. Department of Educational Psychology, University of Wisconsin-Madison, United States;2. Department of Computer Science, University of Wisconsin-Madison, United States;1. School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China;2. Telfer School of Management, University of Ottawa, 55 Laurier East, Ottawa, ON K1N 6N5, Canada;3. Management School, Anhui University, 111 Jiulong Road, Hefei, Anhui 230601, China;1. Department of Clinical Behavioral Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan;2. Department of Public Health, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan;3. Research Center of Applied Psychology, Chengdu Medical College, Chengdu, China;4. Kyushu University of Nursing and Social Welfare, Tamana, Japan;5. Kitamura Institute of Mental Health Tokyo, 101 Akasaka 8-13-5, Minato, Tokyo 107-0057, Japan;6. Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya, Japan;1. University of Kansas, 1440 Jayhawk Blvd, Bailey Hall Room 102, Lawrence, KS 66045, United States;2. Iowa State University, 309 Catt Hall, Ames, IA 50011, United States;3. University of Missouri, 108 Switzler Hall, Columbia, MO 65211, United States;1. Universidad Autónoma de Madrid, Spain;2. CEEAplA and IZA, Spain |
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| Abstract: | In the current study, we explore predictors of smartphone and smartphone application use in a large, diverse, population representative South Korean sample (N = 9482). Sociodemographics (e.g., gender, age, education, and income) were major predictors of smartphone and smartphone application use. Generally, younger, educated, and wealthy individuals tended to use smartphones and smartphone applications to a greater extent. Females tended to use smartphones, e-commerce applications, and relational applications more compared to males. Openness, extraversion, and conscientiousness were associated with increased probability of smartphone ownership. Extraversion was associated with decreased literacy application use and increased relational application use. Conscientiousness was associated with decreased e-commerce application use. These results imply that sociodemographics and personality predict smartphone innovation. |
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| Keywords: | Smartphones Smartphone applications Personality Big Five South Korea |
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