Employees' training experience in a metaverse environment? Feedback analysis using structural topic modeling

被引:6
|
作者
Saeed, Abubakr [1 ]
Ali, Ashiq [2 ]
Ashfaq, Saira [3 ]
机构
[1] COMSATS Univ Islamabad, Dept Management Sci, Pk Rd, Islamabad, Pakistan
[2] Riphah Int Univ, Management Sci, Islamabad Campus, Rawalpindi, Pakistan
[3] York St John Univ, Management Studies Dept, London Campus, York E14 2BA, England
关键词
Metaverse; Employee training experiences; Reviews; structural topical modeling; TEXT ANALYSIS;
D O I
10.1016/j.techfore.2024.123636
中图分类号
F [经济];
学科分类号
02 ;
摘要
The metaverse has been heralded as the next frontier for fueling strategic business opportunities. A recent surge in business investments in digital technologies-based training applications is witnessed. Metaverse is a technology in training and development landscape that intends to materialize a highly immersive experience by combining the virtual and the real world. Organizations are moving towards a metaverse environment to enhance the interactivity and flexibility of training while maintaining a high quality of their educational content and training plans. However, the existing scholarly work on metaverse tends to be more focused on employees' recruitment and retention functions of human resource, while the training and development function, particularly, the employees' training experience of the metaverse, is largely overlooked. Understanding employees' experiences is critical for businesses to achieve the desired training outcomes. Our study aims to fill this research gap by adopting a novel structural topic model text analysis method to analyze 889 employees' reviews about various training applications in metaverse environment. Specifically, we explored the employees' reviews of leading training platforms STRIVR, Spatial Computing, Mursion, Program ACE, Rewo, Gather, and ARKit. Our initial results reveal 9 topics, of which 5 relate to positive aspects and 4 are potential concerns. In particular, realtime collaboration, enhanced practicality, alignment with technology training, real-time feedback analytics, and customizable learning environments are positive, whereas accessibility and inclusivity, ethical considerations, privacy and security concerns, and cultural resistance are negative aspects. This study highlights the promising potential of the metaverse in improving the training and development functions within human resource management. By leveraging the novel efficiencies that the metaverse confers, firms can use these advancements to gain a competitive advantage.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] A Novelty Analysis about an Impact of Tweets and Twitter Bios on Topic Quality Discovery using the Topic Modeling
    Muthusami R.
    Saritha K.
    Journal of The Institution of Engineers (India): Series B, 2022, 103 (5) : 1431 - 1441
  • [42] Predictive analysis of drug reviews using Gibbs sampling topic modeling
    Kakulapati, V.
    Bhutada, Sunil
    Reddy, S. Mahender
    2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 2432 - 2436
  • [43] Analysis of Indian and American poetry using topic modeling and Deep learning
    Kumar, K. Praveen
    Kumar, S. Venkatrama Phani
    Kumar, S. K. Lokesh
    MATERIALS TODAY-PROCEEDINGS, 2022, 64 : 787 - 792
  • [44] Research Topic Trends on Turnover Intention among Korean Registered Nurses: An Analysis Using Topic Modeling
    Lee, Jung Lim
    Kim, Youngji
    HEALTHCARE, 2023, 11 (08)
  • [45] A Novelty Analysis about an Impact of Tweets and Twitter Bios on Topic Quality Discovery using the Topic Modeling
    Muthusami, Rathinasamy
    Saritha, Kandhasamy
    Journal of The Institution of Engineers (India): Series B, 2022, 103 (05) : 1431 - 1441
  • [46] Analysis of Indian and American poetry using topic modeling and Deep learning
    Kumar, K. Praveen
    Kumar, Venkatrama Phani
    Kumar, S. K. Lokesh
    MATERIALS TODAY-PROCEEDINGS, 2022, 64 : 787 - 792
  • [47] Trends on Health in Social Media: Analysis using Twitter Topic Modeling
    Asghari, Mohsen
    Sierra-Sosa, Daniel
    Elmaghraby, Adel
    2018 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2018, : 558 - 563
  • [48] The Effect of TQM Implementation towards Productivity of Employees Using Structural Equation Modeling (SEM) Analysis Method in PT XYZ
    Putri, Nilda Tri
    Darma, Haesti Sujita
    2014 IEEE INTERNATIONAL CONFERENCE ON MANAGEMENT OF INNOVATION AND TECHNOLOGY (ICMIT 2014), 2014, : 537 - 542
  • [49] Production and evaluation of a Personal Learning Environment for faculty training: analysis of an experience
    Cabero-Almenara, Julio
    Vazquez-Martinez, Ana I.
    CULTURA Y EDUCACION, 2014, 26 (04): : 631 - 659
  • [50] An environment for modeling structural analysis problem-solving strategies
    Blackmon, WH
    Fenves, SJ
    FRONTIERS IN EDUCATION 1997 - 27TH ANNUAL CONFERENCE, PROCEEDINGS, BOLS I - III, 1997, : 1338 - 1342