Biometric technologies at music festivals: An extended technology acceptance model

被引:12
|
作者
Norfolk, Lauren [1 ]
O'Regan, Michael [1 ]
机构
[1] Bournemouth Univ, Business Sch, Talbot Campus, Poole BH12 5BB, Dorset, England
关键词
Biometric technologies; event management; facial recognition; music festivals; technology acceptance model; ORDERED LOGISTIC-REGRESSION; USER ACCEPTANCE; EMPIRICAL-EVALUATION; PERCEIVED USEFULNESS; EXTENSION; PERCEPTIONS; SECURITY; ADOPTION; SYSTEMS; IMPACT;
D O I
10.1080/15470148.2020.1811184
中图分类号
F [经济];
学科分类号
02 ;
摘要
The purpose of this paper is to gain a better understanding of user acceptance of Biometric Technologies (BT) at outdoor music festivals in the United Kingdom. While research on such technologies, such as facial recognition is limited in the events context, they have already been deployed at music festivals to deal with issues of security, safety and crowd management. Using an extended Technology Acceptance Model (TAM), a self-administered questionnaire was completed by young adults in the United Kingdom who had previously been to a music festival. The study found factors such as privacy, reliability and accuracy did not have a significant impact on user acceptance. Other factors, such as trust, compatibility and convenience were found to have a significant positive impact on perceived ease of use, perceived usefulness and attitude to use. As the findings indicate that accuracy and privacy do not impact BT acceptance, the paper explores how organizers can be transparent and accountable as to their intentions to use BT, so as to justify the usefulness of BT to attendees, artists, regulators and authorities.
引用
收藏
页码:36 / 60
页数:25
相关论文
共 50 条
  • [21] Famers' Intention to Use Precision Farming Technologies, Application of the Extended Technology Acceptance Model: A Case in Ardabil Province
    Bagheri, Asghar
    Emami, Naier
    JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY, 2025, 27 (01):
  • [22] Acceptance of e-learning technology by government school teachers: application of extended technology acceptance model
    Rafique, Hamaad
    Ul Islam, Zia
    Shamim, Azra
    INTERACTIVE LEARNING ENVIRONMENTS, 2024, 32 (06) : 2970 - 2988
  • [23] Understanding pre-service teachers' acceptance of generative artificial intelligence: an extended technology acceptance model approach
    Sun, Jingwen
    Wu, Qing
    Ma, Zhiji
    Zheng, Wennan
    Hu, Yongbin
    ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2025,
  • [24] User Acceptance of Virtual Reality: An Extended Technology Acceptance Model
    Sagnier, Camille
    Loup-Escande, Emilie
    Lourdeaux, Domitile
    Thouvenin, Indira
    Vallery, Gerard
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2020, 36 (11) : 993 - 1007
  • [25] Elucidating usage of e-government learning: A perspective of the extended technology acceptance model
    Shyu, Stacy Huey-Pyng
    Huang, Jen-Hung
    GOVERNMENT INFORMATION QUARTERLY, 2011, 28 (04) : 491 - 502
  • [26] Assessing clinical medicine students' acceptance of large language model: based on technology acceptance model
    Liu, Fuze
    Chang, Xiao
    Zhu, Qi
    Huang, Yue
    Li, Yifei
    Wang, Hai
    BMC MEDICAL EDUCATION, 2024, 24 (01)
  • [27] Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
    Abdullah, Fazil
    Ward, Rupert
    COMPUTERS IN HUMAN BEHAVIOR, 2016, 56 : 238 - 256
  • [28] An application of the extended Technology Acceptance Model in understanding technology-enabled financial service adoption in South Africa
    Wentzel, John P.
    Diatha, Krishna Sundar
    Yadavalli, V. S. S.
    DEVELOPMENT SOUTHERN AFRICA, 2013, 30 (4-5) : 659 - 673
  • [29] OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor
    Naaz, Sameena
    Khan, Sarah Ali
    Siddiqui, Farheen
    Sohail, Shahab Saquib
    Madsen, Dag oivind
    Ahmad, Asad
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (24)
  • [30] Acceptance of apparel private sale sites by consumers: application of original and extended technology acceptance model
    Saricam, Canan
    JOURNAL OF THE TEXTILE INSTITUTE, 2015, 106 (10) : 1059 - 1070