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] Artificial Intelligence-Based Protection for Smart Grids
    Bakkar, Mostafa
    Bogarra, Santiago
    Corcoles, Felipe
    Aboelhassan, Ahmed
    Wang, Shuo
    Iglesias, Javier
    ENERGIES, 2022, 15 (13)
  • [42] Towards artificial intelligence-based assessment systems
    Luckin, Rose
    NATURE HUMAN BEHAVIOUR, 2017, 1 (03):
  • [43] Artificial Intelligence-Based Digital Image Steganalysis
    Iskanderani, Ahmed I.
    Mehedi, Ibrahim M.
    Aljohani, Abdulah Jeza
    Shorfuzzaman, Mohammad
    Akther, Farzana
    Palaniswamy, Thangam
    Latif, Shaikh Abdul
    Latif, Abdul
    SECURITY AND COMMUNICATION NETWORKS, 2021, 2021
  • [44] Artificial intelligence-based literature review adaptation
    Molopa, Selema Tebogo
    SOUTH AFRICAN JOURNAL OF LIBRARIES AND INFORMATION SCIENCE, 2024, 90 (02)
  • [45] The continuation and recommendation intention of artificial intelligence-based voice assistant systems (AIVAS): the influence of personal traits
    Lee, Kyung Young
    Sheehan, Lorn
    Lee, Kiljae
    Chang, Younghoon
    INTERNET RESEARCH, 2021, 31 (05) : 1899 - 1939
  • [46] Artificial intelligence-based pre-implementation interventions in users' continuance intention to use mobile banking
    Lin, Rong-Rong
    Zheng, Yong
    Lee, Jung-Chieh
    INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS, 2023, 21 (04) : 518 - 540
  • [47] Hybrid Artificial Intelligence-Based PBA for Benchmark Functions and Facility Layout Design Optimization
    Cheng, Min-Yuan
    Lien, Li-Chuan
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2012, 26 (05) : 612 - 624
  • [48] Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
    Rajaee, Taher
    Khani, Salar
    Ravansalar, Masoud
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2020, 200
  • [49] A novel hybrid artificial intelligence-based decision support framework to predict lead time
    Dosdogru, Ayse Tugba
    Boru Ipek, Asli
    Gocken, Mustafa
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2021, 24 (03) : 261 - 279
  • [50] Implementation of artificial intelligence at the workplace, considering the work ability of employees
    Werens, Samantha
    von Garrel, Jorg
    ZEITSCHRIFT FUER TECHNIKFOLGENABSCHAETZUNG IN THEORIE UND PRAXIS - TATUP, 2023, 32 (02):