Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics

Lin, Shanyu; Döngül, Esra Sipahi; Uygun, Serdar Vural; Öztürk, Mutlu Başaran; Huy, Dinh Tran Ngoc; Tuan, Pham Van

doi:10.3390/su14041949

Open AccessArticle

Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics

by

Shanyu Lin

^1,*

,

Esra Sipahi Döngül

²

,

Serdar Vural Uygun

³,

Mutlu Başaran Öztürk

⁴,

Dinh Tran Ngoc Huy

^5,6

and

Pham Van Tuan

⁷

¹

Fuzhou University of International Studies and Trade, Fuzhou 350202, China

²

Department of Social Work, Faculty of Health Sciences, Aksaray University, Aksaray 68000, Turkey

³

Faculty of Economics and Administrative Sciences, Nevşehir HBV University, Nevşehir 50300, Turkey

⁴

Faculty of Economics and Administrative Sciences, Nigde Ömer Halisdemir University, Nigde 51240, Turkey

⁵

MBA, Banking University of Ho Chi Minh City, Ho Chi Minh 700000, Vietnam

⁶

International University of Japan, Niigata 949-7277, Japan

⁷

Faculty of Marketing, National Economics University (NEU), Hanoi 11616, Vietnam

^*

Author to whom correspondence should be addressed.

Sustainability 2022, 14(4), 1949; https://doi.org/10.3390/su14041949

Submission received: 23 October 2021 / Revised: 20 January 2022 / Accepted: 28 January 2022 / Published: 9 February 2022

(This article belongs to the Special Issue Synergies between Ergonomics and Sustainability for Work-Place Wellbeing—Solutions for Efficient and Effective Occupational Risk Management)

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Abstract

(1) Background: Our study aims to explore the impact of abusive management and self-efficacy on corporate performance in the context of artificial intelligence-based human–machine interaction technology in enterprise performance evaluation. (2) Methods: Surveys were distributed to 578 participants in selected international companies in Turkey, Taiwan, Japan, and China. To reduce uncertainty and errors, the surveys were rigorously evaluated and did not show a normal distribution, as it was determined that 85 participants did not consciously fill out the questionnaires, and the questionnaires from the remaining 493 participants were used. By using the evaluation model of employee satisfaction based on a back propagation (BP) neural network, we explored the manifestation and impact of abusive management and self-efficacy. Using the listed real estate businesses as an example, we proposed a deep learning BP neural network-based employee job satisfaction evaluation model and a human–machine technology-based employee performance evaluation system under situational perception, according to the design requirements of human–machine interaction. (3) Results: The results show that the human–machine interface can log in according to the correct verbal instructions of the employees. In terms of age and education level variables, employees’ perceptions of leaders’ abusive management and self-efficacy are significantly different from their job performances, respectively (p < 0.01). (4) Conclusions: artificial intelligence (AI)-based human–machine interaction technology, malicious management, and self-efficacy directly affect enterprise performance and employee satisfaction.

Keywords: artificial intelligence; ergonomics; sustainable development management; human–machine interaction technology; BP neural network; abusive management; enterprise performance; human–machine interface performance

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MDPI and ACS Style

Lin, S.; Döngül, E.S.; Uygun, S.V.; Öztürk, M.B.; Huy, D.T.N.; Tuan, P.V. Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics. Sustainability 2022, 14, 1949. https://doi.org/10.3390/su14041949

AMA Style

Lin S, Döngül ES, Uygun SV, Öztürk MB, Huy DTN, Tuan PV. Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics. Sustainability. 2022; 14(4):1949. https://doi.org/10.3390/su14041949

Chicago/Turabian Style

Lin, Shanyu, Esra Sipahi Döngül, Serdar Vural Uygun, Mutlu Başaran Öztürk, Dinh Tran Ngoc Huy, and Pham Van Tuan. 2022. "Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics" Sustainability 14, no. 4: 1949. https://doi.org/10.3390/su14041949

APA Style

Lin, S., Döngül, E. S., Uygun, S. V., Öztürk, M. B., Huy, D. T. N., & Tuan, P. V. (2022). Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics. Sustainability, 14(4), 1949. https://doi.org/10.3390/su14041949

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Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human–Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics

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