Exploring Sustainable Learning Intentions of Employees Using Online Learning Modules of Office Apps Based on User Experience Factors: Using the Adapted UTAUT Model

被引:3
|
作者
Wang, Siqin [1 ,2 ]
Nah, Ken [1 ,2 ]
机构
[1] Hongik Univ, Int Design Sch Adv Studies, Seoul 04068, South Korea
[2] Hongik Univ, Int Design Trend Ctr, Seoul 04068, South Korea
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 11期
关键词
UTAUT; behavioral science; online learning; user experience; user research; ergonomics; human-computer interaction; human factors; TECHNOLOGY ACCEPTANCE; INFORMATION-TECHNOLOGY; ORGANIZATIONAL SUPPORT; SATISFACTION; MANAGEMENT; ADOPTION; PERFORMANCE; VALIDATION; SYSTEM; IMPACT;
D O I
10.3390/app14114746
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Research on the information module has identified a range of factors in the adoption model that determine their intention to learn sustainably. This research investigates the determinants of employees' intentions to use an online learning module within an office application, utilizing a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model. Data were collected from 564 employees in different organizations and analyzed using structural equation modeling. The research examines correlations between four key determinants-performance expectancy, effort expectancy, social influence, and facilitating conditions-and eight user experience motivational factors, including career development, business needs, self-management, learning experience, company atmosphere, external pressure, company support, and course quality. The findings indicate that all four UTAUT determinants significantly support employees' use of the online learning module for continuous learning. Performance expectancy is positively influenced by career development and business needs, effort expectancy by self-management, social influence by external pressure, and facilitating conditions by company support and course quality. The learning experience and company atmosphere showed no significant correlation. The study offers valuable insights for managers, investors, and developers to enhance the adoption of online learning modules, promoting sustainable learning and employee development.
引用
收藏
页数:23
相关论文
共 27 条
  • [11] Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews
    Oyebode, Oladapo
    Alqahtani, Felwah
    Orji, Rita
    IEEE ACCESS, 2020, 8 : 111141 - 111158
  • [12] Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning
    Zhang, Zhejun
    Chen, Huiying
    Huang, Ruonan
    Zhu, Lihong
    Ma, Shengling
    Leifer, Larry
    Liu, Wei
    AI, 2024, 5 (01) : 364 - 382
  • [13] Exploring special need students' perceptions of remote learning using the multimodal model of online education
    Meda, Lawrence
    Waghid, Zayd
    EDUCATION AND INFORMATION TECHNOLOGIES, 2022, 27 (06) : 8111 - 8128
  • [14] Exploring special need students’ perceptions of remote learning using the multimodal model of online education
    Lawrence Meda
    Zayd Waghid
    Education and Information Technologies, 2022, 27 : 8111 - 8128
  • [15] Exploring factors impacting students' motivation to learn using face-to-face, online and hybrid learning
    Istijanto
    QUALITY ASSURANCE IN EDUCATION, 2023, 31 (01) : 121 - 136
  • [17] A Technology Acceptance Model-Based Analytics for Online Mobile Games Using Machine Learning Techniques
    Chauhan, Shaifali
    Mittal, Mohit
    Wozniak, Marcin
    Gupta, Swadha
    Perez de Prado, Rocio
    SYMMETRY-BASEL, 2021, 13 (08):
  • [18] Exploring the adoption of AI-enabled English learning applications among university students using extended UTAUT2 model
    Liu, Nannan
    Deng, Wenqiang
    Ayub, Ahmad Fauzi Mohd
    EDUCATION AND INFORMATION TECHNOLOGIES, 2025,
  • [19] Filter-based Online Neuro-Fuzzy Model Learning using Noisy Measurements
    Gu, Wen
    Lan, Jianglin
    Mason, Byron
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [20] The usability and user experience of an interactive e-learning platform to empower older adults when using electronic personal health records: an online intervention study
    Perotti, Luis
    Stamm, Oskar
    Dietrich, Michael
    Buchem, Ilona
    Mueller-Werdan, Ursula
    UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2024,