An Evaluation of Key Adoption Factors towards Using the Fog Technology

被引:1
作者
Ali, Omar [1 ]
Shrestha, Anup [2 ]
Jaradat, Ashraf [1 ]
Al-Ahmad, Ahmad [1 ]
机构
[1] Amer Univ Middle East, Management Informat Syst Dept, Egaila 54200, Kuwait
[2] Univ Southern Queensland, Sch Business, Toowoomba, Qld 4350, Australia
关键词
fog technology; fog computing; edge computing; adoption; diffusion of innovation (DOI) theory; technology acceptance model (TAM); internet of things (IoT); INNOVATION DIFFUSION-THEORY; INFORMATION-TECHNOLOGY; ACCEPTANCE MODEL; RFID ADOPTION; USER ACCEPTANCE; E-BUSINESS; COMPUTING ARCHITECTURE; BEHAVIORAL INTENTION; CONCEPTUAL-MODEL; SERVICE DELIVERY;
D O I
10.3390/bdcc6030081
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fog technology is one of the recent improvements in cloud technology that is designed to reduce some of its drawbacks. Fog technology architecture is often widely distributed to minimize the time required for data processing and enable Internet of Things (IoT) innovations. The purpose of this paper is to evaluate the main factors that might influence the adoption of fog technology. This paper offers a combined framework that addresses fog technology adoption based on the technology adoption perspective, which has been comprehensively researched in the information systems discipline. The proposed integrated framework combines the technology acceptance model (TAM) and diffusion of innovation (DOI) theory to develop a holistic perspective on the adoption of fog technology. The factors that might affect the adoption of fog technology are analyzed from the results of an online survey in 43 different organizations across a wide range of industries. These factors are observed based on data collected from 216 participants, including professional IT staff and senior business executives. This analysis was conducted by using structural equation modeling (SEM). The research results identified nine factors with a statistically significant impact on the adoption of fog technology, and these factors included relative advantage, compatibility, awareness, cost-effectiveness, security, infrastructure, ease of use, usefulness, and location. The findings from this research offer insight to organizations looking to implement fog technology to enable IoT and tap into the digital transformation opportunities presented by this new digital economy.
引用
收藏
页数:35
相关论文
共 215 条
[1]   Fog Computing Architecture, Evaluation, and Future Research Directions [J].
Aazam, Mohammad ;
Zeadally, Sherali ;
Harras, Khaled A. .
IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (05) :46-52
[2]  
Achouri M, 2018, J INF COMMUN TECHNOL, V17, P537
[3]   Are individual differences germane to the acceptance of new information technologies? [J].
Agarwal, R ;
Prasad, J .
DECISION SCIENCES, 1999, 30 (02) :361-391
[4]  
AIKEN M, 1980, ACAD MANAGE J, V23, P631, DOI 10.5465/255553
[5]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[6]   Mobile Phones and Economic Development in Africa [J].
Aker, Jenny C. ;
Mbiti, Isaac M. .
JOURNAL OF ECONOMIC PERSPECTIVES, 2010, 24 (03) :207-232
[7]  
Al-Ahmad Ahmad Salah, 2020, International Journal of Information and Computer Security, V13, P210
[8]  
Al-Ahmad A.S, 2018, 2018 INT C SMART COM, P1, DOI DOI 10.1109/ICSCEE.2018.8538387
[9]   Systematic Literature Review on Penetration Testing for Mobile Cloud Computing Applications [J].
Al-Ahmad, Ahmad Salah ;
Kahtan, Hasan ;
Hujainah, Fadhl ;
Jalab, Hamid A. .
IEEE ACCESS, 2019, 7 :173524-173540
[10]  
Al-Rahmi W.M., 2015, Mediterranean Journal of Social Sciences, t, V6, br, P625, DOI DOI 10.5901/MJSS.2015.V6N5S2P625