Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context

Md Uzir Hossain Uzir; Zakari Bukari; Hussam Al Halbusi; Rodney Lim; Siti Norida Wahab; Tareq Rasul; Ramayah Thurasamy; Ishraq Jerin; M Rezaul Karim Chowdhury; Arun Kumar Tarofder; Azizul Yadi Yaakop; Abu Bakar Abdul Hamid; Ahasanul Haque; Abdur Rauf; Bilal Eneizan

doi:10.1016/j.heliyon.2023.e18666

Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context

Heliyon. 2023 Jul 26;9(8):e18666. doi: 10.1016/j.heliyon.2023.e18666. eCollection 2023 Aug.

Authors

Md Uzir Hossain Uzir^{1

2}, Zakari Bukari³, Hussam Al Halbusi⁴, Rodney Lim⁵, Siti Norida Wahab⁶, Tareq Rasul⁷, Ramayah Thurasamy^{8

9

10

11

12

13

14

15}, Ishraq Jerin¹⁶, M Rezaul Karim Chowdhury¹⁷, Arun Kumar Tarofder¹⁸, Azizul Yadi Yaakop¹⁹, Abu Bakar Abdul Hamid²⁰, Ahasanul Haque²¹, Abdur Rauf²², Bilal Eneizan^{23

24}

Affiliations

¹ Marketing Department, Lincoln University College, Petaling Jaya, Selangor, Malaysia.
² Marketing Department, Faculty of Business, Economics, and Social Development, University Malaysia Terengganu, Kuala Terengganu, Malaysia.
³ Department of Marketing and Customer Management, University of Professional Studies, Accra, Ghana.
⁴ Department of Management at Ahmed Bin Mohammad Military College, Doha, Qatar.
⁵ Marketing and E-Commerce, Swinburne University of Technology, Sarawak Campus, Hawthorn, 3122, Australia.
⁶ Faculty of Business and Management, Universiti Teknologi MARA, 42300, Bandar Puncak Alam, Selangor, Malaysia.
⁷ Department of Marketing, Australian Institute of Business (AIB), Adelaide, Australia.
⁸ School of Management, Universiti Sains Malaysia, Minden, 11800, Penang, Malaysia.
⁹ Department of Information Technology & Management, Daffodil International University, Birulia, Bangladesh.
¹⁰ Department of Management, Sunway University Business School, 47500, Petaling Jaya, Selangor, Malaysia.
¹¹ University Center for Research & Development (UCRD), Chandigarh University, Ludhiana, 140413, Punjab, India.
¹² Fakulti Ekonomi Dan Pengurusan (FEP), Universiti Kebangsaan Malaysia (UKM), Hulu Langat, Malaysia.
¹³ Faculty of Economics and Business, Universitas Indonesia (UI), Depok City, West Java, 16424, Indonesia.
¹⁴ Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Iskandar Puteri, Malaysia.
¹⁵ Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu (UMT), 21300, Kuala Terengganu, Malaysia.
¹⁶ Putra Business School (PBS), Universiti Putra Malaysia (UPM), 43400, Seri Kembangan, Selangor, Malaysia.
¹⁷ Faculty of Maritime Studies, Universiti Malaysia Terengganu, 21300, Kuala Terengganu, Terengganu, Malaysia.
¹⁸ Faculty of Business and Professional Studies, Management and Science University Malaysia, 40100, Shah Alam, Selangor, Malaysia.
¹⁹ Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, 21300, Kuala Terengganu, Terengganu, Malaysia.
²⁰ Marketing, Infrastructure University Kuala Lumpur, Kajang, Selangor, Malaysia.
²¹ Department of Business Administration, International Islamic University Malaysia, Box No. 10, 50728, Kuala Lumpur, Malaysia.
²² Lamar University, TX, USA.
²³ Business School, Jadara University, Irbid, Jordan.
²⁴ College of Science and Humanities Studies, Prince Sattam Bin Abdulaziz University, Sulayyil, Saudi Arabia.

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).

Keywords: Applied artificial intelligence; Healthcare service. smartwatches; Positive word of mouth; S–O-R model.