Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context
Year: 2023
Type: article
Study design: Observational Study
Abstract: 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 ( S – O -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).
Source: Heliyon
Institutions: Universiti Malaysia Terengganu, Lincoln University College, University of Professional Studies, Ahmed Bin Mohammed Military College, Swinburne University of Technology, Universiti Teknologi MARA System, Universiti Teknologi MARA, Australian Institute of Business, Chandigarh University, Universiti Sains Malaysia, Daffodil International University, University of Indonesia, University of Technology Malaysia, Sunway University, National University of Malaysia, Universiti Putra Malaysia, Putra Business School, Management and Science University, Kuala Lumpur University of Science & Technology, University of Kuala Lumpur, International Islamic University Malaysia, Lamar University, Prince Sattam Bin Abdulaziz University, Jadara University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,100
OpenAlex ID: W4385278908