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Goswami M, Jain S, Alam T, Deifalla AF, Ragab AE, Khargotra R. Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector. Front Pharmacol 2023; 14:1215706. [PMID: 38034991 PMCID: PMC10682089 DOI: 10.3389/fphar.2023.1215706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/13/2023] [Indexed: 12/02/2023] Open
Abstract
Purpose: The aim of this research is to investigate the factors that facilitate the adoption of artificial intelligence (AI) in order to establish effective human resource management (HRM) practices within the Indian pharmaceutical sector. Design/methodology/approach: A model explaining the antecedents of AI adoption for building effective HRM practices in the Indian pharmaceutical sector is proposed in this study. The proposed model is based on task-technology fit theory. To test the model, a two-step procedure, known as partial least squares structural equational modeling (PLS-SEM), was used. To collect data, 160 HRM employees from pharmacy firms from pan India were approached. Only senior and specialized HRM positions were sought. Findings: An examination of the relevant literature reveals factors such as how prepared an organization is, how people perceive the benefits, and how technological readiness influences AI adoption. As a result, HR systems may become more efficient. The PLS-SEM data support all the mediation hypothesized by proving both full and partial mediation, demonstrating the accuracy of the proposed model. Originality: There has been little prior research on the topic; this study adds a great deal to our understanding of what motivates human resource departments to adopt AI in the pharmaceutical companies of India. Furthermore, AI-related recommendations are made available to HRM based on the results of a statistical analysis.
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Affiliation(s)
- Manisha Goswami
- Institute of Business Management, GLA University, Mathura, India
| | - Supriya Jain
- Institute of Business Management, GLA University, Mathura, India
| | - Tabish Alam
- CSIR-Central Building Research Institute, Roorkee, India
| | - Ahmed Farouk Deifalla
- Structure Engineering and Construction Management, Future University, New Cairo, Egypt
| | - Adham E. Ragab
- Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia
| | - Rohit Khargotra
- Institute of Materials Engineering, Faculty of Engineering, University of Pannonia, Veszprém, Hungary
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Uzir MUH, Bukari Z, Al Halbusi H, Lim R, Wahab SN, Rasul T, Thurasamy R, Jerin I, Chowdhury MRK, Tarofder AK, Yaakop AY, Hamid ABA, Haque A, Rauf A, Eneizan B. Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context. Heliyon 2023; 9:e18666. [PMID: 37560680 PMCID: PMC10407215 DOI: 10.1016/j.heliyon.2023.e18666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 07/19/2023] [Accepted: 07/24/2023] [Indexed: 08/11/2023] Open
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).
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Affiliation(s)
- Md Uzir Hossain Uzir
- Marketing Department, Lincoln University College, Petaling Jaya, Selangor, Malaysia
- Marketing Department, Faculty of Business, Economics, and Social Development, University Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Zakari Bukari
- Department of Marketing and Customer Management, University of Professional Studies, Accra, Ghana
| | - Hussam Al Halbusi
- Department of Management at Ahmed Bin Mohammad Military College, Doha, Qatar
| | - Rodney Lim
- Marketing and E-Commerce, Swinburne University of Technology, Sarawak Campus, Hawthorn, 3122, Australia
| | - Siti Norida Wahab
- Faculty of Business and Management, Universiti Teknologi MARA, 42300, Bandar Puncak Alam, Selangor, Malaysia
| | - Tareq Rasul
- Department of Marketing, Australian Institute of Business (AIB), Adelaide, Australia
| | - Ramayah Thurasamy
- School of Management, Universiti Sains Malaysia, Minden, 11800, Penang, Malaysia
- Department of Information Technology & Management, Daffodil International University, Birulia, Bangladesh
- Department of Management, Sunway University Business School, 47500, Petaling Jaya, Selangor, Malaysia
- University Center for Research & Development (UCRD), Chandigarh University, Ludhiana, 140413, Punjab, India
- Fakulti Ekonomi Dan Pengurusan (FEP), Universiti Kebangsaan Malaysia (UKM), Hulu Langat, Malaysia
- Faculty of Economics and Business, Universitas Indonesia (UI), Depok City, West Java, 16424, Indonesia
- Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Iskandar Puteri, Malaysia
- Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu (UMT), 21300, Kuala Terengganu, Malaysia
| | - Ishraq Jerin
- Putra Business School (PBS), Universiti Putra Malaysia (UPM), 43400, Seri Kembangan, Selangor, Malaysia
| | - M Rezaul Karim Chowdhury
- Faculty of Maritime Studies, Universiti Malaysia Terengganu, 21300, Kuala Terengganu, Terengganu, Malaysia
| | - Arun Kumar Tarofder
- Faculty of Business and Professional Studies, Management and Science University Malaysia, 40100, Shah Alam, Selangor, Malaysia
| | - Azizul Yadi Yaakop
- Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, 21300, Kuala Terengganu, Terengganu, Malaysia
| | | | - Ahasanul Haque
- Department of Business Administration, International Islamic University Malaysia, Box No. 10, 50728, Kuala Lumpur, Malaysia
| | | | - Bilal Eneizan
- Business School, Jadara University, Irbid, Jordan
- College of Science and Humanities Studies, Prince Sattam Bin Abdulaziz University, Sulayyil, Saudi Arabia
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