How to cite this paper
Suryanto, T., Wibowo, N., Faroqi, A & Afandi, A. (2023). A survey on the behavior of Indonesian football players using smartwatch.International Journal of Data and Network Science, 7(2), 827-832.
Refrences
Alfeo, A. L., Cimino, M. G., & Vaglini, G. (2019). Measuring physical activity of older adults via smartwatch and stigmergic receptive fields. arXiv preprint arXiv:1901.00552.
Árvai, L. (2021). Application of Smartwatches in Elderly Care with Indoor Localization Functionality. International Jour-nal of Interactive Mobile Technologies, 15(5).
Cahyono, T. A., & Susanto, T. D. (2019). Acceptance factors and user design of mobile e-Government website (study case e-Government Website in Indonesia). Procedia Computer Science, 161, 90-98.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the work-place 1. Journal of applied social psychology, 22(14), 1111-1132.
Ding, E. Y., CastañedaAvila, M., Tran, K. V., Mehawej, J., Filippaios, A., Paul, T., ... & McManus, D. D. (2022). Usability of a smartwatch for atrial fibrillation detection in older adults after stroke. Cardiovascular Digital Health Journal.
Doulamis, A., Pelekis, N., & Theodoridis, Y. (2012, October). EasyTracker: An Android application for capturing mobili-ty behavior. In 2012 16th Panhellenic Conference on Informatics (pp. 357-362). IEEE.
Elnagar, A., Alnazzawi, N., Afyouni, I., Shahin, I., Nassif, A. B., & Salloum, S. A. (2022). Prediction of the intention to use a smartwatch: A comparative approach using machine learning and partial least squares structural equation model-ing. Informatics in Medicine Unlocked, 29, 100913.
Faroqi, A., Pribadi, S. A., & Lathif, M. T. (2020a). Exploring Online Shoppers’ Acceptance of Electronic Marketplace Us-ing UTAUT and The Flow Theory. In Journal of Physics: Conference Series (Vol. 1569, No. 2, p. 022051). IOP Pub-lishing.
Faroqi, A., Suryanto, T. L. M., & Safitri, E. M. (2020b). The Determinant of E-Government Services Adoption among Cit-izen in Indonesia. In 2020 6th Information Technology International Seminar (ITIS) (pp. 130-134). IEEE.
Isakadze, N., & Martin, S. S. (2020). How useful is the smartwatch ECG?. Trends in cardiovascular medicine, 30(7), 442-448.
Jacob, D. W., & Darmawan, I. (2019, March). Extending the UTAUT model to understand the citizens’ acceptance and use of electronic government in developing country: A structural equation modeling approach. In 2018 International Con-ference on Industrial Enterprise and System Engineering (ICoIESE 2018) (pp. 92-96). Atlantis Press.
Al Kurdi, B., Alshurideh, M., Salloum, S., Obeidat, Z., & Al-dweeri, R. (2020). An empirical investigation into examina-tion of factors influencing university students’ behavior towards elearning acceptance using SEM approach.
Lisana, L., & Suciadi, M. F. (2021). The Acceptance of Mobile Learning: A Case Study of 3D Simulation Android App for Learning Physics. International Journal of Interactive Mobile Technologies (iJIM), 15(17), 205-214.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in human behavior, 25(1), 29-39.
Maulida, Lely. (2022, March 18). "The Smartwatch Market Grows 24 Percent, These Are the 9 Best Selling Brands for 2021". Kompas.com. https://tekno.kompas.com/read/2022/03/18/07020067/pasar-smartwatch-tumbuh-24-persen-ini-9-merek-terlaris-2021
Mensah, I. K. (2019). Factors influencing the intention of university students to adopt and use e-government services: An empirical evidence in China. Sage Open, 9(2), 2158244019855823.
Minnaar, P., Mototo, L., & Chuchu, T. (2020). An analysis of the intention of consumers to adopt branded mobile applica-tions in South Africa.
Pons, E., García-Calvo, T., Cos, F., Resta, R., Blanco, H., López del Campo, R., ... & Pulido-González, J. J. (2021). Inte-grating video tracking and GPS to quantify accelerations and decelerations in elite soccer. Scientific Reports, 11(1), 1-10.
Póvoas, S. C. A., Krustrup, P., Pereira, R., Vieira, S., Carneiro, I., Magalhães, J., & Castagna, C. (2019). Maximal heart rate assessment in recreational football players: A study involving a multiple testing approach. Scandinavian Journal of Medicine & Science in Sports, 29(10), 1537-1545.
Shen, C., Ho, B. J., & Srivastava, M. (2017). Milift: Efficient smartwatch-based workout tracking using automatic seg-mentation. IEEE Transactions on Mobile Computing, 17(7), 1609-1622.
Fortune business Insights (2021). The global smartwatch market is projected to grow from $22.02 billion in 2021 to $58.21 billion by 2028, with a CAGR of 14.9% in forecast period, 2021-2028. Market Research Report Fortune Busi-ness Insight. https://www.fortunebusinessinsights.com/smartwatch-market-106625.
Sivakumar, S., Kun, Y. J., & Gopalai, A. A. (2021, March). High-Intensity Interval Training Exercise Recognition using Smartwatch. In 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (pp. 206-211). IEEE.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the uni-fied theory of acceptance and use of technology. MIS quarterly, 157-178.
Wu, L. H., Wu, L. C., & Chang, S. C. (2016). Exploring consumers’ intention to accept smartwatch. Computers in Human Behavior, 64, 383-392.
Xiao, N., Yu, W., & Han, X. (2020). Wearable heart rate monitoring intelligent sports bracelet based on Internet of things. Measurement, 164, 108102.
Árvai, L. (2021). Application of Smartwatches in Elderly Care with Indoor Localization Functionality. International Jour-nal of Interactive Mobile Technologies, 15(5).
Cahyono, T. A., & Susanto, T. D. (2019). Acceptance factors and user design of mobile e-Government website (study case e-Government Website in Indonesia). Procedia Computer Science, 161, 90-98.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the work-place 1. Journal of applied social psychology, 22(14), 1111-1132.
Ding, E. Y., CastañedaAvila, M., Tran, K. V., Mehawej, J., Filippaios, A., Paul, T., ... & McManus, D. D. (2022). Usability of a smartwatch for atrial fibrillation detection in older adults after stroke. Cardiovascular Digital Health Journal.
Doulamis, A., Pelekis, N., & Theodoridis, Y. (2012, October). EasyTracker: An Android application for capturing mobili-ty behavior. In 2012 16th Panhellenic Conference on Informatics (pp. 357-362). IEEE.
Elnagar, A., Alnazzawi, N., Afyouni, I., Shahin, I., Nassif, A. B., & Salloum, S. A. (2022). Prediction of the intention to use a smartwatch: A comparative approach using machine learning and partial least squares structural equation model-ing. Informatics in Medicine Unlocked, 29, 100913.
Faroqi, A., Pribadi, S. A., & Lathif, M. T. (2020a). Exploring Online Shoppers’ Acceptance of Electronic Marketplace Us-ing UTAUT and The Flow Theory. In Journal of Physics: Conference Series (Vol. 1569, No. 2, p. 022051). IOP Pub-lishing.
Faroqi, A., Suryanto, T. L. M., & Safitri, E. M. (2020b). The Determinant of E-Government Services Adoption among Cit-izen in Indonesia. In 2020 6th Information Technology International Seminar (ITIS) (pp. 130-134). IEEE.
Isakadze, N., & Martin, S. S. (2020). How useful is the smartwatch ECG?. Trends in cardiovascular medicine, 30(7), 442-448.
Jacob, D. W., & Darmawan, I. (2019, March). Extending the UTAUT model to understand the citizens’ acceptance and use of electronic government in developing country: A structural equation modeling approach. In 2018 International Con-ference on Industrial Enterprise and System Engineering (ICoIESE 2018) (pp. 92-96). Atlantis Press.
Al Kurdi, B., Alshurideh, M., Salloum, S., Obeidat, Z., & Al-dweeri, R. (2020). An empirical investigation into examina-tion of factors influencing university students’ behavior towards elearning acceptance using SEM approach.
Lisana, L., & Suciadi, M. F. (2021). The Acceptance of Mobile Learning: A Case Study of 3D Simulation Android App for Learning Physics. International Journal of Interactive Mobile Technologies (iJIM), 15(17), 205-214.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in human behavior, 25(1), 29-39.
Maulida, Lely. (2022, March 18). "The Smartwatch Market Grows 24 Percent, These Are the 9 Best Selling Brands for 2021". Kompas.com. https://tekno.kompas.com/read/2022/03/18/07020067/pasar-smartwatch-tumbuh-24-persen-ini-9-merek-terlaris-2021
Mensah, I. K. (2019). Factors influencing the intention of university students to adopt and use e-government services: An empirical evidence in China. Sage Open, 9(2), 2158244019855823.
Minnaar, P., Mototo, L., & Chuchu, T. (2020). An analysis of the intention of consumers to adopt branded mobile applica-tions in South Africa.
Pons, E., García-Calvo, T., Cos, F., Resta, R., Blanco, H., López del Campo, R., ... & Pulido-González, J. J. (2021). Inte-grating video tracking and GPS to quantify accelerations and decelerations in elite soccer. Scientific Reports, 11(1), 1-10.
Póvoas, S. C. A., Krustrup, P., Pereira, R., Vieira, S., Carneiro, I., Magalhães, J., & Castagna, C. (2019). Maximal heart rate assessment in recreational football players: A study involving a multiple testing approach. Scandinavian Journal of Medicine & Science in Sports, 29(10), 1537-1545.
Shen, C., Ho, B. J., & Srivastava, M. (2017). Milift: Efficient smartwatch-based workout tracking using automatic seg-mentation. IEEE Transactions on Mobile Computing, 17(7), 1609-1622.
Fortune business Insights (2021). The global smartwatch market is projected to grow from $22.02 billion in 2021 to $58.21 billion by 2028, with a CAGR of 14.9% in forecast period, 2021-2028. Market Research Report Fortune Busi-ness Insight. https://www.fortunebusinessinsights.com/smartwatch-market-106625.
Sivakumar, S., Kun, Y. J., & Gopalai, A. A. (2021, March). High-Intensity Interval Training Exercise Recognition using Smartwatch. In 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (pp. 206-211). IEEE.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the uni-fied theory of acceptance and use of technology. MIS quarterly, 157-178.
Wu, L. H., Wu, L. C., & Chang, S. C. (2016). Exploring consumers’ intention to accept smartwatch. Computers in Human Behavior, 64, 383-392.
Xiao, N., Yu, W., & Han, X. (2020). Wearable heart rate monitoring intelligent sports bracelet based on Internet of things. Measurement, 164, 108102.