This study identifies consumers’ perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store’s app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers’ satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.
Generally, the osteoporosis of a middle-aged women have been reported that was a high risk in underweight, but the obese women have feasible osteoporosis. Therefor, the subjects were 120 middle-aged women that were diagnosed with osteoporosis in the bone mineral densitometer (BMD), this study was done for the purpose of analyzing the relationship between osteoporosis and body mass index (BMI) of the middle-aged women. We were determined BMI which was less than 18.5 underweight, 18.5 to 22.9 normal,
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