Analysis of the Physical Activity Enhancement Attributes of Smartwatches Using the IPA Technique: A Comparative Analysis of Apple and Samsung Smartwatches
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The purpose of this study is to examine the differences in the physical activity–related attributes of smartwatches between the two brands (Apple vs. Samsung) with the highest market share as well as to explore consumers’ perceptions of the importance and performance of these smartwatch attributes through importance–performance analysis (IPA). To achieve the objectives of this study, we conducted a random sampling of 400 adults nationwide who own smartwatches and have experience using them for physical activities, focusing on users of the two leading smartwatch brands. After excluding 10 respondents who provided incomplete answers, a total of 390 datasets were used for the final analysis. The results of a series of ttests showed statistically significant differences in all attributes (4 attributes related to self-monitoring, 4 attributes related to reward, 3 attributes related to social facilitation, and 1 attribute of convenience) except for wearability, ease of use, and concurrency between Apple and Samsung. Additionally, the results of the IPA on the physical activity–related attributes of smartwatches indicate different distributions in the IPA matrix between the two brands. These results offer meaningful guidelines for managers and marketers to make efficient resource allocations and rational decisions, ultimately enabling the development of more effective marketing strategies.
Abstract
The purpose of this study is to examine the differences in the physical activity–related attributes of smartwatches between the two brands (Apple vs. Samsung) with the highest market share as well as to explore consumers’ perceptions of the importance and performance of these smartwatch attributes through importance–performance analysis (IPA). To achieve the objectives of this study, we conducted a random sampling of 400 adults nationwide who own smartwatches and have experience using them for physical activities, focusing on users of the two leading smartwatch brands. After excluding 10 respondents who provided incomplete answers, a total of 390 datasets were used for the final analysis. The results of a series of ttests showed statistically significant differences in all attributes (4 attributes related to self-monitoring, 4 attributes related to reward, 3 attributes related to social facilitation, and 1 attribute of convenience) except for wearability, ease of use, and concurrency between Apple and Samsung. Additionally, the results of the IPA on the physical activity–related attributes of smartwatches indicate different distributions in the IPA matrix between the two brands. These results offer meaningful guidelines for managers and marketers to make efficient resource allocations and rational decisions, ultimately enabling the development of more effective marketing strategies.
참고문헌 (38)
- Adapa, A., "Factors influencing the adoption of smart wearable devices", International Journal of Human–Computer Interaction, 34(5), pp.399~409 (2018)
- Ahn, S. Y., "Analyzing the Sports Wearable Devices Behavioral Intention of Active Senior Participating in Sports through UTAUT Model", The Korea Journal of Sports Science, 30(1), pp.559~570 (2021)
- Andrew Beattie, "Apple’s Key Weaknesses" (2022), Investopedia
- Basha, N. K., "Are we so over smartwatches? Or can technology, fashion, and psychographic attributes sustain smartwatch usage?", Technology in Society, 69, pp.101952~ (2022)
- Bölen, M. C., "From traditional wristwatch to smartwatch : Understanding the relationship between innovation attributes, switching costs and consumers’ switching intention", Technology in Society, 63, pp.101439~ (2020)
- Cha, J., "Evaluation of the Mobile Healthcare Application Using IPA Analysis : Focusing on the Usability of Elderly", The Korea Journal of Sports Science, 30(3), pp.421~431 (2021)
- Cho, S., "Importance-Performance Analysis of Service Quality of Screen Baseball Park", Korean Journal of Sport Management, 22(6), pp.1~13 (2017)
- Cho, W. C., "What makes you feel attached to smartwatches? The stimulus–organism–response(S–O–R)perspectives", Information Technology & People, 32(2), pp.319~343 (2019)
- Chun, S. B., "Analyzing the relationship between Sports Commitment and Behavioral Intention of Sports Wearable Devices through UTAUT Model", The Korean Journal of Physical Education, 55(5), pp.291~306 (2016)
- Smartwatch Market Size, Share & Industry Analysis, "Fortune Buisiness Insights.", Fortune Buisiness Insights, ~ (2024)
- Gopinath, K., "A study on the positioning of the brand variants by smartwatch manufacturers : a technometrics approach", Technology Analysis & Strategic Management, 35(6), pp.689~703 (2023)
- Hair, J. F., "Multivariate data analysis" (2006), Pearson Prentice Hall
- Hong, J. C., "The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch", Computers in Human Behavior, 67, pp.264~272 (2017)
- Hsiao, K. L., "What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value", Telematics and Informatics, 35(1), pp.103~113 (2018)
- Jeong, H. K., "Acceptance Intention of Healthcare Application by Middle and Elderly Based on the Technology Readiness 2. 0 and Acceptance Model", Korean Journal of Sport Management, 26(1), pp.108~123 (2021)
- Jeong, S. C., "Moderating effects of consumers’ personal innovativeness on the adoption and purchase intention of wearable devices", Sage Open, 12(4), pp.21582440221134800~ (2022)
- Jung, Y., "Consumer valuation of the wearables : The case of smartwatches", Computers in Human Behavior, 63, pp.899~905 (2016)
- Kim, B. G., "Half of Koreans do not follow WHO physical activity recommendations... practice rate decreased by 10% over 6 years", Yonhapnews, ~ (2024)
- Kim, D., "Exploring Determinants of Outdoor Shoes Purchase", International Journal of Human Movement Science, 16(2), pp.21~35 (2022)
- Kim, H. M., "Gamification aspects of fitness apps : Implications of mHealth for physical activities", International Journal of Human–Computer Interaction, 39(10), pp.2076~2089 (2023)
- Kim, H. R., "Importance-Performance Analysis of Selection Attribute Assessment for Screen Golf Clubs", Journal of Sport and Leisure Studies, 54(1), pp.483~494 (2013)
- Kim, T., "Predicting acceptance intention of sports wearable smart device based on technology acceptance model and theory of planned behavior : The moderating effects of gender", Korean Journal of Sport Science, 28(4), pp.899~916 (2017)
- Kim, Y., "The Relationship between Generation Z Consumers’ Shopping Tendency for Sports Wearable Mobile Apps, Importance of App Attributes and Purchase Intention", The Korean Journal of Physical Education, 62(6), pp.87~97 (2023)
- Cho, K, "Identification of Differences between Importance and Satisfaction of Adolescent`s Outdoor Sportswear Brand Selection Attributes using the IPA Method", The Korean Journal of Physical Education, 52(5), pp.437~449 (2013)
- Kwon S., "Usage Behavior of the Sports Wearable Device for People with Physical Disabilities Applying for the United Theory of Acceptance and Use of Technology(UTAUT)", Journal of Sport and Leisure Studies, 91, pp.165~175 (2023)
- Lee, K. J., "Acceptance Intention Relationship between Performance of Golf Participants and Golf Wearable Device by Technology Acceptance Model", Korean Journal of Leisure, Recreation & Park, 42(2), pp.1~10 (2018)
- Lee, M., "The Effect of Serious Leisure Physical Activity Participation of Babyboom Generations on Intention to Use Leisure Smart Devices : By applying the extended TAM model", Korean Journal of Leisure, Recreation & Park, 45(4), pp.51~63 (2021)
- Lee, M. S., "Analysis of Active-Seniors’ Leisure Smart Device Use Intention Applying UTAUT2 Model", Journal of Sport and Leisure Studies, 79, pp.263~273 (2020)
- Lee, M. S., "An Analysis of Active Senior’s Leisure Smart Device Using Intention Applying Extended Technology Acceptance Model : Focusing on Leisure Engagement", The Korea Journal of Sports Science, 28(4), pp.183~194 (2019)
- Lee, S. J., "A Study on the Effect of Consumer’s Innovation on Sport Wearable Products : Focused on Technology Acceptance Model(TAM)", Korean Journal of Sport Managemen, 19(1), pp.95~108 (2014)
- Martilla, J. A., "Importance-performance analysis", Journal of Marketing, 41(1), pp.77~79 (1977)
- Ogbanufe, O., "Watch it! Factors driving continued feature use of the smartwatch", International Journal of Human–Computer Interaction, 34(11), pp.999~1014 (2018)
- Oh, J., "Workout with a Smartwatch : A Cross-Sectional Study of the Effects of Smartwatch Attributes on Flow Experience and Exercise Intentions Depending on Exercise Involvement", Healthcare, 11(23), pp.3074~ (2023)
- Park, S., "Meta-analytic Path Analysis regarding Acceptance of Sports Wearable Device : Focused on Extended Technology Acceptance Model", Korean Journal of Sport Management, 23(5), pp.17~32 (2018)
- Sethjinda, T., "The Influence of"Smartwatch"Attributes towards Users’ Purchase Intentions in the Bangkok Metropolitan Area", Walailak Journal of Science and Technology(WJST), 18(2), pp.6506~6512 (2021)
- Shin, S. M., "The Plan of Screen Baseball Service Quality by Using IPA", The Korean Journal of Sport, 15(2), pp.383~392 (2017)
- TrendForce., "2023 Smartwatch Market Insights" (2023), TrendForce Corp
- Tsai, J. M., "Continued usage of smart wearable devices(SWDs) : cross-level analysis of gamification and network externality", Electronic Markets, 32(3), pp.1661~1676 (2022)