Antecedents of Consumers’ Intention to Adopt Wearable Healthcare Devices
暂无分享,去创建一个
Mehrbakhsh Nilashi | Elaheh Yadegaridehkordi | Shahla Asadi | Mitra Safaei | E. Yadegaridehkordi | M. Nilashi | S. Asadi | Mitra Safaei
[1] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[2] Jen-Her Wu,et al. What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..
[3] Jin-Mie Chae. Consumer Acceptance Model of Smart Clothing according to Innovation , 2009 .
[4] Jin-Bo Sim,et al. Acceptance‐Diffusion Strategies for Tablet‐PCs: Focused on Acceptance Factors of Non‐Users and Satisfaction Factors of Users , 2012 .
[5] Wawan Dhewanto,et al. 2 . 2 . 1 Perceived Usefulness , Perceived Ease of Use , Intended Use , 2013 .
[6] Victoria Magrath,et al. Marketing design elements of mobile fashion retail apps , 2013 .
[7] Seyed Ahmad Soleymani,et al. Development of an instrument for assessing the impact of trust on internet banking adoption , 2013 .
[8] Garry Wei-Han Tan,et al. Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach , 2014, Comput. Hum. Behav..
[9] Elena Marchiori,et al. Hotel Mobile Apps. The Case of 4 and 5 Star Hotels in European German-Speaking Countries , 2014, ENTER.
[10] Elaheh Yadegaridehkordi,et al. Cloud Computing Adoption Behaviour: an Application of the Technology Acceptance Model , 2015 .
[11] H. M. Dahlan,et al. Theoretical model for Green Information Technology adoption , 2015 .
[12] Dietmar Jannach,et al. Recommendation quality, transparency, and website quality for trust-building in recommendation agents , 2016, Electron. Commer. Res. Appl..
[13] Yiwen Gao,et al. International Journal of Medical Informatics , 2016 .
[14] Fuyuan Xu,et al. An Empirical Study on Factors Influencing Consumers' Initial Trust in Wearable Commerce , 2016, J. Comput. Inf. Syst..
[15] Philipp A. Rauschnabel,et al. Augmented reality smart glasses: an investigation of technology acceptance drivers , 2016 .
[16] Munkee Choi,et al. User acceptance of wearable devices: An extended perspective of perceived value , 2016, Telematics Informatics.
[17] A. Canhoto,et al. Exploring the factors that support adoption and sustained use of health and fitness wearables , 2017 .
[18] Mehrbakhsh Nilashi,et al. Customers perspectives on adoption of cloud computing in banking sector , 2016, Information Technology and Management.
[19] Zoran Kalinic,et al. International Journal of Information Management , 2016 .
[20] Devendra Potnis,et al. Students' intention to adopt Internet-based personal safety wearable devices: Extending UTAUT with trusting belief , 2017, First Monday.
[21] Yan Zhang,et al. Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology , 2017, Int. J. Medical Informatics.
[22] Dong Wen,et al. Consumers' perceived attitudes to wearable devices in health monitoring in China: A survey study , 2017, Comput. Methods Programs Biomed..
[23] Mehrbakhsh Nilashi,et al. Forecasting social CRM adoption in SMEs: A combined SEM-neural network method , 2017, Comput. Hum. Behav..
[24] M. Haghi,et al. Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices , 2017, Healthcare informatics research.
[25] Rimantas Gatautis,et al. Mobile application driven consumer engagement , 2017, Telematics Informatics.
[26] Tugrul U. Daim,et al. What will it take to adopt smart glasses: A consumer choice based review? , 2017 .
[27] Sang Yup Lee,et al. Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker , 2018 .
[28] Mehrbakhsh Nilashi,et al. Predicting determinants of hotel success and development using Structural Equation Modelling (SEM)-ANFIS method , 2018, Tourism Management.
[29] Mehrbakhsh Nilashi,et al. Decision to adopt online collaborative learning tools in higher education: A case of top Malaysian universities , 2018, Education and Information Technologies.
[30] Milad Dehghani,et al. Exploring the motivational factors on continuous usage intention of smartwatches among actual users , 2018, Behav. Inf. Technol..
[31] Ab Razak Che Hussin,et al. Toward Green IT adoption: from managerial perspective , 2018, Int. J. Bus. Inf. Syst..
[32] Rusli Abdullah,et al. An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices , 2019, Mob. Inf. Syst..
[33] Simona Sternad Zabukovsek,et al. SEM–ANN based research of factors’ impact on extended use of ERP systems , 2018, Central Eur. J. Oper. Res..
[34] K. Raitz. Applying Technology , 2019, Bourbon's Backroads.
[35] Venkateswarulu Gaddam. Wearable Devices , 2021, Encyclopedia of Gerontology and Population Aging.