I Want It Anyway: Consumer Perceptions of Smart Home Devices

被引:43
|
作者
Wang, Xuequn [1 ]
McGill, Tanya Jane [1 ]
Klobas, Jane E. [1 ]
机构
[1] Murdoch Univ, 90 South St, Perth, WA 6150, Australia
关键词
Internet of things; smart home devices; adoption intention; net valance model; VALUE-BASED ADOPTION; INFORMATION-TECHNOLOGY; SERVICES ADOPTION; USER ACCEPTANCE; PERCEIVED RISK; INTENTION; MODEL; DETERMINANTS; MAINSTREAM; VARIANCE;
D O I
10.1080/08874417.2018.1528486
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart home devices form a significant part of the Internet of Things market and can provide benefits such as convenience and energy efficiency. They also have potential privacy and security risks as they collect information constantly. In order to examine how benefit and risk factors influence individuals' intentions to adopt smart home devices, we developed a net valence model that integrates both positive factors and risk factors. The model was tested using data collected using an online questionnaire. The results show that individuals tend to ignore the potential risks and focus more on potential benefits resulting from using smart home devices. Performance expectancy and compatibility were found to be positively related to perceived benefits. However, neither effort expectancy nor image were. Among the proposed dimensions of risk, only privacy risk, performance risk, and time risk significantly influenced perceived risk. Security risk and financial risk did not influence it.
引用
收藏
页码:437 / 447
页数:11
相关论文
共 50 条
  • [41] Towards Examining The Security Cost of Inexpensive Smart Home IoT Devices
    OConnor, T. J.
    Jessee, Dylan
    Campos, Daniel
    2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 1293 - 1298
  • [42] Detecting and Identifying Faulty IoT Devices in Smart Home with Context Extraction
    Choi, Jiwon
    Jeoung, Hayoung
    Kim, Jihun
    Ko, Youngjoo
    Jung, Wonup
    Kim, Hanjun
    Kim, Jong
    2018 48TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN), 2018, : 610 - 621
  • [43] About the Connectivity of Xiaomi Internet-of-Things Smart Home Devices
    Mehic, Miralem
    Selimovic, Nejra
    Komosny, Dan
    2019 XXVII INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND AUTOMATION TECHNOLOGIES (ICAT 2019), 2019,
  • [44] Framework to measure and reduce the threat surface area for smart home devices
    Akashdeep Bhardwaj
    Keshav Kaushik
    Vishal Dagar
    Manoj Kumar
    Advances in Computational Intelligence, 2023, 3 (4):
  • [45] A Smart Switch to Connect and Disconnect Electrical Devices at Home by Using Internet
    Salas, J. E. G.
    Caporal, R. M.
    Huerta, E. B.
    Rodriguez, J. J.
    Magdaleno, J. J. R.
    IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (04) : 1575 - 1581
  • [46] Ensemble machine learning approach for classification of IoT devices in smart home
    Ivan Cvitić
    Dragan Peraković
    Marko Periša
    Brij Gupta
    International Journal of Machine Learning and Cybernetics, 2021, 12 : 3179 - 3202
  • [47] Is the Time Ripe? How the Value of Waiting and Incentives Affect Users' Switching Behaviors for Smart Home Devices
    Berger, Matthias
    Matt, Christian
    Goensch, Jochen
    Hess, Thomas
    SCHMALENBACH BUSINESS REVIEW, 2019, 71 (01) : 91 - 123
  • [48] Yes, I know this IoT Device Might Invade my Privacy, but I Love it Anyway! A Study of Saudi Arabian Perceptions
    Aleisa, Noura
    Renaud, Karen
    IOTBDS: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, BIG DATA AND SECURITY, 2017, : 198 - 205
  • [49] A Dual-Stage SEM-ANN Analysis to Explore Consumer Adoption of Smart Wearable Healthcare Devices
    Rehman, Imdadullah Hidayat-ur
    Ahmad, Arshad
    Akhter, Fahim
    Aljarallah, Amer
    JOURNAL OF GLOBAL INFORMATION MANAGEMENT, 2021, 29 (06)
  • [50] DEVS-IoT: performance evaluation of smart home devices network
    Albataineh, Majeda
    Jarrah, Moath
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (11) : 16857 - 16885