Internet of Things Adoption for Saudi Healthcare Services

被引:1
作者
Masmali, Feisal [1 ,2 ]
Miah, Shah J. [1 ]
机构
[1] Univ Newcastle, Newcastle Business Sch, Callaghan, NSW, Australia
[2] Jazan Univ, Business Adm Coll, Dept Management Informat Syst, Jazan, Saudi Arabia
来源
PACIFIC ASIA JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS | 2021年 / 13卷 / 03期
关键词
IoT Adoption; Healthcare; Diffusion of Innovation Theory; Saudi Arabia; Healthcare innovation; BIG DATA; SUPPLY CHAIN; E-GOVERNMENT; IOT; INDUSTRY; SYSTEM; AUTHENTICATION; LOGISTICS; DIAGNOSIS; CLOUD;
D O I
10.17705/1pais.13306
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Background: Recent studies in information systems have predicted that applications of the Internet of Things (IoT) innovations will revolutionise various sectors including healthcare. Besides the issues and opportunities of IoT based innovations, existing studies have shown limitations to advance the adoption of IoTunderstanding and relevant interventions to benefit researchers and healthcare practitioners. Method: In this context, a systematic literature review study was conducted to reposition a qualitative, phenomenological investigation that could offer useful insights into the factors affecting IoT- adoption in a developing country's healthcare service. In addition to it, five participants who worked in hospitals and clinics in Jazan, Saudi Arabia, took part in the semi-structured interviews developed based on the diffusion of innovation theory. Results: The study explored the relevant literature and evaluated how the outcome is used to identify the key delivers of IoT in healthcare. Conclusions: According to the findings, the capacity of the Saudi healthcare sector to accept and implement a new IT with IoT technologies is increasing and its integrations remains a debated issue.
引用
收藏
页码:113 / 130
页数:18
相关论文
共 88 条
[1]   Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust [J].
Agag, Gomaa ;
El-Masry, Ahmed A. .
COMPUTERS IN HUMAN BEHAVIOR, 2016, 60 :97-111
[2]   Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach [J].
Al-Makhadmeh, Zafer ;
Tolba, Amr .
MEASUREMENT, 2019, 147
[3]   Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination [J].
Almobaideen, Wesam ;
Krayshan, Rand ;
Allan, Mamoon ;
Saadeh, Maha .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2017, 123 :342-350
[4]  
Amaratunga D., 2002, Work study, V51, P17, DOI [10.1108/00438020210415488, DOI 10.1108/00438020210415488]
[5]  
[Anonymous], REAL WORLD RES RESOU
[6]  
[Anonymous], 2014, Doing Research in the Real World
[7]  
[Anonymous], 2011, REAL-TIME SYST, DOI [DOI 10.1007/978-L-4419-8237-7_13, DOI 10.1007/978-1-4419-8237-7]
[8]  
[Anonymous], 2015, OXFORD HDB MULTIMETH
[9]   Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health [J].
Azimi, Iman ;
Pahikkala, Tapio ;
Rahmani, Amir M. ;
Niela-Vilen, Hannakaisa ;
Axelin, Anna ;
Liljeberg, Pasi .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 96 :297-308
[10]  
Babu B S., 2016, International Journal of Science and Research (IJSR), V5, P322, DOI [DOI 10.21275/V5I2.NOV161096, 10.21275/v5i2.nov161096]