Uzir Md Uzir Hossain, Bukari Zakari, Al Halbusi Hussam, Lim Rodney, Wahab Siti Norida, Rasul Tareq, Thurasamy Ramayah, Jerin Ishraq, Chowdhury M Rezaul Karim, Tarofder Arun Kumar, Yaakop Azizul Yadi, Hamid Abu Bakar Abdul, Haque Ahasanul, Rauf Abdur, Eneizan Bilal
Marketing Department, Lincoln University College, Petaling Jaya, Selangor, Malaysia.
Marketing Department, Faculty of Business, Economics, and Social Development, University Malaysia Terengganu, Kuala Terengganu, Malaysia.
Heliyon. 2023 Jul 26;9(8):e18666. doi: 10.1016/j.heliyon.2023.e18666. eCollection 2023 Aug.
Technology and its continuous advancement facilitate human beings to get rid of their criticality and limitation. Applied artificial intelligence (AAI) is one of the latest forms that delimited the limitation of human beings. Smartwatch acts as an applied artificial intelligence to assist various patients to check medical care without going to hospital and physicians. This (three) multiple-study research focused on the intention to use, purchase, and their satisfaction and spread positive word of mouth among others in the Ghanaian. To investigate these issues two renowned theories were underpinned- TAM theory and the Stimulus-Organism-Response (--R). Total 550, 320, and 170 respondents were interviewed with Google forms due to COVID-19 using social media. AI-enabled smartwatch considering Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC) were significant on intention to adoption and adoption intention on actual purchase. The final study showed device quality, its service level, their usage experience, perceived value, and the extent to which the satisfied customers made positive word of mouth to their friends and family, colleagues and followers. This research is significant in understanding the usage of AI-enabled smartwatches as a device doctor or electronic doctor (e-doctor).
科技及其不断进步促使人类摆脱自身的关键性和局限性。应用人工智能（AAI）是界定人类局限性的最新形式之一。智能手表作为一种应用人工智能，可协助各类患者无需前往医院和找医生就能进行医疗检查。这项（三项）多项研究聚焦于加纳人使用、购买智能手表的意愿及其满意度，以及他们向他人传播积极口碑的情况。为调查这些问题，采用了两个著名理论作为支撑——技术接受模型（TAM）理论和刺激-机体-反应（S-O-R）理论。由于新冠疫情，通过社交媒体使用谷歌表单对总共550名、320名和170名受访者进行了访谈。考虑到感知易用性（PEOU）、感知有用性（PU）、感知可信度（PC）、感知自我效能（PSE）和感知财务成本（PFC）的人工智能智能手表，对采用意愿和实际购买的购买意愿具有显著影响。最终研究表明了设备质量、其服务水平、使用体验、感知价值，以及满意的客户向朋友、家人、同事和关注者传播积极口碑的程度。这项研究对于理解人工智能智能手表作为设备医生或电子医生（e-医生）的使用情况具有重要意义。
