How Smart Technology Affects the Well-Being and Supportive Learning Performance of Logistics Employees?

Abstract

The rapid improvement of technologies such as artificial intelligence in recent years has resulted in the development of smart technologies (ST) that can influence learning performance in different fields. The purpose of study is to explore the link between smart technology and learning performance. Using the S-O-R model as a framework, the researchers argue that smart technology (Stimuli) will increase corporate trust, self-efficacy, and well-being (Organism), resulting in improved learning performance (Response). The current model regards corporate trust and self-efficacy as relationship factors and investigates their direct influence on employee well-being and learning performance and the mediating role played by these variables. Additionally, the function of employee well-being in moderating the relationship between corporate trust, self-efficacy, and employee learning performance is also explored. The respondents (n = 516) in the present study are made up of employees from 10 logistics companies located in China. The data analysis is conducted using the AMOS software. The results show that that smart technologies can affect learning performance through corporate trust, self-efficacy, and employee well-being. The implementation of smart technology initiatives by corporations may provide positive workplace outcomes for employees (increased well-being), corporations (more engagement in workplace learning performance), and the relationship between employees and the companies that employ them (corporate trust and self-efficacy).

Identification of Antecedents and Consequences of Professional Learning Community for Primary School Teachers

“…Most of these researchers consider organizational culture, following educational leadership, as the second crucial factor for realizing a professional learning community for teachers in schools, emphasizing the importance of focusing on it. Regarding collaborative learning supportive of the professional learning community for teachers, researchers (Carpenter, 2015;Henriksen et al, 2020;Jiang et al, 2022) showed some alignment in various components and indicators. They believe that collaborative learning and knowledge management play a crucial and fundamental role in realizing the professional learning community for teachers and should be given due attention.…”

The Future Study of Unmanned Convenience Store in Malaysia

“…The first driver highlights how the adoption of unmanned convenience stores is significantly influenced by various technologies, each contributing to enhanced efficiency and customer experience. For example, Smart technology promotes energy efficiency and automation, enabling unmanned stores to optimize operations, control lighting based on occupancy, and enhance overall resource management (DMN Editorial Team, 2023) while Incorporating IoT and AI techniques enables real-time monitoring, predictive analytics, and intelligent decision-making, enhancing the overall functionality and efficiency of unmanned stores (Jiang et al, 2022).…”

Smart technology: Ecosystem, impacts, challenges and the path forward

“…Improving businesses' productivity-Smart technologies have enhanced efficiency by automating jobs and streamlining processes. As a result, smart technologies have increased productivity, enabling firms to complete more work in less time [56] . For instance, organisations may complete more work in a shorter time because of automation and ML.…”