Innovations of Express Companies: Adoption of Protective Wearable Artificial Intelligence Devices by Couriers

被引:0
|
作者
Sun, Wei [1 ]
Kim, Junghoon [2 ]
Su, Huadong [2 ]
机构
[1] Henan Univ Urban Construct, Management Sch, Pingdingshan 467036, Peoples R China
[2] Yeungnam Univ, Dept Saemaul Studies & Int Dev, Gyongsan 38541, South Korea
关键词
push-pull-mooring; affective event theory; wearable AI devices; perceived security; social influence; innovativeness; EXTENDING UTAUT2; EMOTIONAL LABOR; INFORMATION; SECURITY; DETERMINANTS; TECHNOLOGY; ACCEPTANCE; INTENTIONS; WORKPLACE; COMMERCE;
D O I
10.3390/su16198374
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Providing couriers with wearable artificial intelligence devices to prevent accidents is not only beneficial to the courier's safety but will also save money in terms of insurance premiums for express companies; therefore, it is worth investigating what factors can influence the acceptance of wearable artificial intelligence devices by couriers. Push-pull-mooring (PPM) theory and affective event theory (AET) are integrated, to test couriers' adoption of wearable safety detection devices. Social influence, perceived security, personal innovativeness, and affective event reaction are applied to the research model. Questionnaires are distributed among several listed express companies and 263 valid questionnaires are used for empirical testing. Empirical results indicated that social influence, perceived safety, personal innovativeness and affective event reaction are positively related to usage with coefficients 0.218, 0.301, 0.698 and 0.309. Personal innovativeness has positive moderating effects on relationships between affective event reaction, perceived security and usage, with coefficients 0.145 and 0.106; however, it has no significant moderating effect on the relationship between social influence and usage. The research aims to help support the proliferation and adoption of wearable artificial intelligence devices to optimize the current state of the express industry and improve the interaction between couriers and managers, creating an active management strategy that will allow express companies to thrive. The study not only provides insights to help express companies reduce insurance costs, but also provides recommendations for accelerating the company's environmental, social and governance goals, leading sustainable development and building new corporate value.
引用
收藏
页数:19
相关论文
共 31 条
  • [21] Application of artificial intelligence wearable devices based on neural network algorithm in mass sports activity evaluation
    Jun Liang
    Qing He
    Soft Computing, 2023, 27 : 10177 - 10188
  • [22] Application of wearable devices in 6G internet of things communication environment using artificial intelligence
    Xu, Liang
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2021, 12 (04) : 741 - 747
  • [23] Application of wearable devices in 6G internet of things communication environment using artificial intelligence
    Liang Xu
    International Journal of System Assurance Engineering and Management, 2021, 12 : 741 - 747
  • [24] The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review
    Ahmed, Arfan
    Aziz, Sarah
    Abd-alrazaq, Alaa
    Farooq, Faisal
    Househ, Mowafa
    Sheikh, Javaid
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [25] Firm Size and Artificial Intelligence (AI)-Based Technology Adoption: The Role of Corporate Size in South Korean Construction Companies
    Na, Seunguk
    Heo, Seokjae
    Choi, Wonjun
    Han, Sehee
    Kim, Cheekyung
    BUILDINGS, 2023, 13 (04)
  • [26] Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis
    Lee, Solam
    Chu, Yuseong
    Ryu, Jiseung
    Park, Young Jun
    Yang, Sejung
    Koh, Sang Baek
    YONSEI MEDICAL JOURNAL, 2022, 63 : S93 - S107
  • [27] AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence
    Romero-Tapiador, Sergio
    Lacruz-Pleguezuelos, Blanca
    Tolosana, Ruben
    Freixer, Gala
    Daza, Roberto
    Fernandez-Diaz, Cristina M.
    Aguilar-Aguilar, Elena
    Fernandez-Cabezas, Jorge
    Cruz-Gil, Silvia
    Molina, Susana
    Crespo, Maria Carmen
    Laguna, Teresa
    Marcos-Zambrano, Laura Judith
    Vera-Rodriguez, Ruben
    Fierrez, Julian
    de Molina, Ana Ramirez
    Ortega-Garcia, Javier
    Espinosa-Salinas, Isabel
    Morales, Aythami
    Pau, Enrique Carrillo de Santa
    DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2023, 2023
  • [28] MedMetaverse: Medical Care of Chronic Disease Patients and Managing Data Using Artificial Intelligence, Blockchain, and Wearable Devices State-of-the-Art Methodology
    Murala, Dileep Kumar
    Panda, Sandeep Kumar
    Dash, Sujata Priyambada
    IEEE ACCESS, 2023, 11 : 138954 - 138985
  • [29] Makynen et al. Wearable Devices Combined with Artificial Intelligence-A Future Technology for Atrial Fibrillation Detection? (vol 22, 8588, 2022)
    Makynen, Marko
    Ng, G. Andre
    Li, Xin
    Schlindwein, Fernando S.
    SENSORS, 2023, 23 (18)
  • [30] Artificial Intelligence-Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study
    Wilmink, Gerald
    Dupey, Katherine
    Alkire, Schon
    Grote, Jeffrey
    Zobel, Gregory
    Fillit, Howard M.
    Movva, Satish
    JMIR AGING, 2020, 3 (02)