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
  • [41] An Artificial Intelligence-Based Model for Knowledge Evaluation and Integration in Public Organizations
    Garcia-Gonzalez, Maria S.
    Paniagua-Aris, Enrique
    Martinez-Bejar, Rodrigo
    Lopez-Caballero, Juan A.
    Gasparetto, Alessandro
    APPLIED SCIENCES-BASEL, 2023, 13 (21):
  • [42] Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases
    Bozyel, Serdar
    Simsek, Evrim
    Kocyigit, Duygu
    Guler, Arda
    Korkmaz, Yetkin
    Seker, Mehmet
    Erturk, Mehmet
    Keser, Nurgul
    ANATOLIAN JOURNAL OF CARDIOLOGY, 2024, 28 (02): : 74 - 86
  • [43] Artificial Intelligence-Based Concept Development Tools in Architecture Design Education
    Gupta, Anushka
    Khan, Mohammad Amir
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON TRENDS IN ARCHITECTURE AND CONSTRUCTION, ICTAC-2024, 2025, 527 : 1359 - 1373
  • [44] Transitioning to artificial intelligence-based key account management: A critical assessment
    Prior, Daniel D.
    Marcos-Cuevas, Javier
    INDUSTRIAL MARKETING MANAGEMENT, 2025, 126 : 72 - 84
  • [45] New trend in artificial intelligence-based assistive technology for thoracic imaging
    Yanagawa, Masahiro
    Ito, Rintaro
    Nozaki, Taiki
    Fujioka, Tomoyuki
    Yamada, Akira
    Fujita, Shohei
    Kamagata, Koji
    Fushimi, Yasutaka
    Tsuboyama, Takahiro
    Matsui, Yusuke
    Tatsugami, Fuminari
    Kawamura, Mariko
    Ueda, Daiju
    Fujima, Noriyuki
    Nakaura, Takeshi
    Hirata, Kenji
    Naganawa, Shinji
    RADIOLOGIA MEDICA, 2023, 128 (10): : 1236 - 1249
  • [46] Impact of knowledge sharing on employees' service quality: the moderating role of artificial intelligence
    Tuyet-Mai Nguyen
    Malik, Ashish
    INTERNATIONAL MARKETING REVIEW, 2022, 39 (03) : 482 - 508
  • [47] Artificial Intelligence-Based Optimization of Industrial Membrane Processes
    Maria Teresa Gaudio
    Gerardo Coppola
    Lorenzo Zangari
    Stefano Curcio
    Sergio Greco
    Sudip Chakraborty
    Earth Systems and Environment, 2021, 5 : 385 - 398
  • [48] Artificial Intelligence-Based Malware Detection, Analysis, and Mitigation
    Djenna, Amir
    Bouridane, Ahmed
    Rubab, Saddaf
    Marou, Ibrahim Moussa
    SYMMETRY-BASEL, 2023, 15 (03):
  • [49] Advances in artificial intelligence-based microbiome for PMI estimation
    Wang, Ziwei
    Zhang, Fuyuan
    Wang, Linlin
    Yuan, Huiya
    Guan, Dawei
    Zhao, Rui
    FRONTIERS IN MICROBIOLOGY, 2022, 13
  • [50] AN ARTIFICIAL INTELLIGENCE-BASED DISTANCE EDUCATION SYSTEM: Artimat
    Nabiyev, Vasif
    Karal, Hasan
    Arslan, Selahattin
    Erumit, Ali Kursat
    Cebi, Ayca
    TURKISH ONLINE JOURNAL OF DISTANCE EDUCATION, 2013, 14 (02): : 81 - 98