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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
    (MDPI, 2022) Lin, Shanyu; Sipahi Döngül, Esra; Uygun, Serdar Vural; Öztürk, Mutlu Başaran; Huy, Dinh Tran Ngoc; Tuan, Pham Van
    Our study aims to explore the impact of abusive management and selfefficacy 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.
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    Öğe
    The Digital Roles of Technology Management Applications in Digital Economy
    (Springer Science and Business Media Deutschland GmbH, 2023) Döngül, Esra Sipahi; Huy, Dinh Tran Ngoc; Thang, Tran Duc; Nuong, Le Ngoc
    The development that has emerged with the spread of technology in production life has reached a point where companies will increase their ability to analyze by increasing their speed significantly. This newly formed ecosystem creates a performance system based on dynamic processes and continuous increase with a highly dynamic technology. Cloud systems computer technologies, systems that control processes within the supply chain such as ERP and SAP, vehicles used in the production process and logistics process and that can be managed online, driverless vehicle technologies, unmanned deliveries, wearable technologies, nano technologies, use of robots in production processes have taken their place in our lives as technologies that have developed at an incredible rate in the last 10–15 years and no longer surprise us. In this article, the advantages of Industry 4.0 are mentioned in the literature industry 4.0 and the studies related to supply chain management are discussed and risk management processes are explained by emphasizing the general structure of the digital supply chain that makes supply chain activities efficient.