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Contribution of Internet of things in water supply chain management: A bibliometric and content analysis. JOURNAL OF MODELLING IN MANAGEMENT 2022. [DOI: 10.1108/jm2-04-2021-0090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Purpose
This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.
Design/methodology/approach
The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.
Findings
The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.
Research limitations/implications
A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.
Originality/value
This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.
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Hasan N, Bao Y, Miah SJ, Fenton A. Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare. INFORMATION DEVELOPMENT 2021. [DOI: 10.1177/02666669211064114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Internet of Things (IoT) enabled technologies to have proliferated due to their abilities to capture and exchange quality information. This empirical study aims to investigate the factors influencing the intention to use IoT services in healthcare by young physicians. An integrated model based on the theory of planned behaviour (TPB) and diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modelling (SEM) with importance-performance map analysis (IPMA). Data were collected through a structured survey questionnaire. The results indicated that behavioural intention to use IoT in healthcare services vastly affected by the attitude and value co-creation. Attitude was found to be a principal determinant followed by the relative advantage towards behavioural intention to use IoT services. The novelty of this empirical study is that the proposed integrated model provides a meaningful application of the young physicians’ intention to use IoT in healthcare in developing countries.
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Affiliation(s)
| | - Yukun Bao
- Huazhong University of Science and Technology
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Yang P, Xu L. The Internet of Things (IoT): Informatics methods for IoT-enabled health care. J Biomed Inform 2018; 87:154-156. [PMID: 30342221 DOI: 10.1016/j.jbi.2018.10.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Accepted: 10/16/2018] [Indexed: 10/28/2022]
Affiliation(s)
- Po Yang
- Liverpool John Moores University, Liverpool, United Kingdom.
| | - Lida Xu
- Old Dominion University, Norfolk, VA, USA.
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