Al- Amin, Mohammad Rakibul Islam Bhuiyan, Rashed Hossain, Chanchal Molla, Tahmina Akter Poli, Md Noor Uddin Milon
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引用次数: 0
摘要
本研究旨在确定孟加拉国制造业适应第四次工业革命(4IR)的条件因素,在技术-组织-环境(TOE)框架的引领下,采用工业 4.0(I4.0)技术,将孟加拉国制造业的一些条件变量联系起来。I4.0 将彻底改变 TOE 扩展框架的格局,从而将人口统计与研究变量联系起来,以便在发展中国家实施 I4.0 技术。研究结果使用 SMART PLS SEM 4.0 和 SPSS 29 进行分析,以诊断技术背景(IT 资源可用性、技术准备情况和相对优势)、组织背景(战略和领导力、组织能力和技术基础设施)和环境背景(市场压力、政府支持和技术创新决策)。本研究收集的数据的引导置信度范围为 95%,这些数据提供了支持所提出的两种中介效应的证据。分析结果表明,I4.0 技术的适应性对制造业/工业绩效的间接影响具有统计学意义。本研究旨在考察制造业绩效的中介功能,这增强了研究的全面性。通过应用 TOE 框架,本研究探讨了 I4.0 技术的采用对制造业绩效的影响。TOE 模型验证了本研究的理论框架,旨在通过整合 I4.0 提高制造绩效。本研究对在发展中国家实施 I4.0 技术的组织、政府和从业人员具有实际意义。
The adoption of Industry 4.0 technologies by using the technology organizational environment framework: The mediating role to manufacturing performance in a developing country
The study aspires to identify the factors conditioning the adaptation of the fourth industrial revolution (4IR) within the manufacturing industries in Bangladesh, embracing Industry 4.0 (I4.0) technology led by the technology-organizational-environment (TOE) framework that links a number of conditioning variables in the manufacturing industries of Bangladesh. I4.0 is going to drastically change the landscape of the extended TOE framework to relate demographics with research variables for implementing I4.0 technology in a developing country. The findings of the study are analyzed using SMART PLS SEM 4.0 and SPSS 29 in order to diagnose technological contexts (IT resource availability, technology readiness, and relative advantage), organizational contexts (strategy and leadership, organizational capabilities, and technology infrastructure), and environmental contexts (market pressure, government support, and technology innovation decision making). The study's data, which were collected with a bootstrap confidence range of 95%, offered evidence in favor of both proposed mediating effects. A statistically significant indirect effect of adaptation of I4.0 technology on manufacturing/industry performance was seen in the analysis. This study is conducted to examine the mediating function of manufacturing performance, which enhances the comprehensiveness of the study. Through the application of the TOE framework, this study investigates the impact of I4.0 technology adoption on manufacturing performance. The theoretical framework of the study has been validated by the TOE model, which aims to heighten manufacturing performance by integrating I4.0. The practical implications of this study, organizations, governments, and practitioners engaged in the implementation of I4.0 technologies within developing nation contexts.