The Employees Intention to Work in Artificial Intelligence-Based Hybrid Environments

被引:8
|
作者
Verma, Surabhi [1 ]
Singh, Vibhav [2 ]
机构
[1] Univ Southern Denmark, Ctr Integrat Innovat Management, Dept Mkt & Management, DK-5230 Odense, Denmark
[2] Narsee Monjee Inst Management Studies Univ, Human Resource Management, Navi Mumbai, India
关键词
Creativity; Employment; Behavioral sciences; Task analysis; Artificial intelligence; Collaboration; Technological innovation; componential theory of individual creativity; employee's behavior; human-cobot; hybrid workplace; valence theory; PLS-SEM; PERFORMANCE; INFORMATION; CHALLENGES; INNOVATION; CULTURE; SYSTEMS; ROBOTS; IMPACT; ERA;
D O I
10.1109/TEM.2022.3193664
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this article, considering the era of Industry 4.0, humans and collaborative robots (cobots) will work closely to create a hybrid workforce. Although firms are carefully considering this transition, the implementation of cobots is often carried out without careful consideration of the motivation and behavior of the employees working in hybrid workplaces. In the scenario when employees do not understand their work with cobots, it is unlikely that value is brought to a firm in the dynamic business environment. Thus, this study has multiple objectives. The first was to investigate the role of negative and positive valence factors on the employees intention to work with cobots. The second objective was to examine the effects of the creativity dimensions of employees on their behavior toward cobots. We developed a model for a hybrid workplace based on the componential theory of individual creativity and valence theory, in which the behaviors of human workers are combined with the dimensions of the cobots. Data were collected from 596 working professionals from India, and the proposed model was tested using partial least squares. We confirmed most of the hypotheses about the creativity of employees in hybrid workplaces and the positive valence of cobots with our empirical analysis. Therefore, we proved that future human-cobot collaboration needs to be focused not only on the benefits that cobots bring but also on human aspects like skills and expertise. This article is a contribution to the body of knowledge on new-age technology adoption by shedding light on the human and cobot dimensions. The results of this article may serve as a foundation for future applications and research on hybrid work.
引用
收藏
页码:3266 / 3277
页数:12
相关论文
共 50 条
  • [21] Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments
    Yag, Ilayda
    Altan, Aytac
    BIOLOGY-BASEL, 2022, 11 (12):
  • [22] THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HOSPITALITY EMPLOYEES' WORK OUTCOMES
    Ersoy, Asli
    Ehtiyar, V. Ruya
    ADVANCES IN HOSPITALITY AND TOURISM RESEARCH-AHTR, 2023, 11 (04): : 505 - 526
  • [23] Commentary: Artificial intelligence-based screening of retina
    Bansal, Mayank
    Rangarajan, Krithika
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2022, 70 (04) : 1144 - 1144
  • [24] Artificial intelligence-based application in multiple myeloma
    Piscopo, Leandra
    Scaglione, Mariano
    Klain, Michele
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 (07) : 1923 - 1925
  • [25] Regulation of Artificial Intelligence-Based Applications in Gastroenterology
    Chawla, Saurabh
    Schairer, Jason
    Kushnir, Vladimir
    Hernandez-Barco, Yasmin Genevieve
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2021, 116 (11): : 2159 - 2162
  • [26] Artificial intelligence-based tolerance assessment methods
    Che, RS
    Cui, CC
    Ye, D
    Huang, QC
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3, 2002, : 161 - 166
  • [27] Artificial intelligence-based fusion prostate biopsy
    Poth, Sandor
    Turoczi-Kirizs, Robert
    Kovacs, Agnes
    Bajory, Zoltan
    ORVOSI HETILAP, 2025, 166 (13) : 503 - 510
  • [28] Artificial Intelligence-Based Medical Data Mining
    Zia, Amjad
    Aziz, Muzzamil
    Popa, Ioana
    Khan, Sabih Ahmed
    Hamedani, Amirreza Fazely
    Asif, Abdul R.
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (09):
  • [29] Towards artificial intelligence-based assessment systems
    Rose Luckin
    Nature Human Behaviour, 1
  • [30] Conceptualizing Artificial Intelligence-Based Service Ecosystems
    Zimmermann, Alfred
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jugel, Dierk
    Schweda, Christian
    Mohring, Michael
    Keller, Barbara
    ADVANCES IN THE HUMAN SIDE OF SERVICE ENGINEERING (AHFE 2021), 2021, 266 : 377 - 384