Abstract

This study investigates the impact of Industry 4.0 on the performance of the cargo logistic business (service sector) in Bangladesh and Canada. Our drivers of Industry 4.0 include big data, smart factory, cyber physical systems (CPS) and the Internet of things (IoT). However, there is dearth of research showcasing the effects of these drivers on the service sector in various countries. For this reason, we consider the Technology-Organisation-Environment (TOE) framework, as shaped by the institutional theory, within the context of this research. This research adopts a cross-sectional quantitative approach to identify the variation in sub-groups that refer to the samples in Bangladesh and Canada. Through purposive sampling, networking, and connections, a total of 210 (105 each) survey questionnaires, as completed by employees working in logistics companies, were gathered. Smart partial least square-structural equation modelling (PLS-SEM) was used to analyse the collected data, which revealed that Industry 4.0 has a significant role in promoting and improving the performance of the services industry of both economies. However, the impact of all drivers is more highly statistically significant for Canada than for Bangladesh. Thus, this research demonstrates the role of Industry 4.0 in terms of improving the performance of the logistics industries in contrasting economies.

摘要

本研究调查了工业 4.0 对孟加拉国和加拿大货运物流业务（服务部门）绩效的影响。我们的工业 4.0 驱动力包括大数据、智能工厂、网络物理系统 (CPS) 和物联网 (IoT)。然而，缺乏研究表明这些驱动因素对各国服务业的影响。出于这个原因，我们在本研究的背景下考虑了由制度理论塑造的技术-组织-环境（TOE）框架。本研究采用横断面定量方法来确定参考孟加拉国和加拿大样本的亚组的变化。通过有目的的抽样、网络和联系，共有 210 份（每份 105 份）调查问卷，由在物流公司工作的员工完成，聚集在一起。使用智能偏最小二乘结构方程模型（PLS-SEM）对收集的数据进行分析，结果表明工业4.0在促进和改善两国服务业绩效方面具有重要作用。然而，所有驱动因素对加拿大的影响在统计上比对孟加拉国更显着。因此，本研究证明了工业 4.0 在改善对比经济体物流行业绩效方面的作用。然而，所有驱动因素对加拿大的影响在统计上比对孟加拉国更显着。因此，本研究证明了工业 4.0 在改善对比经济体物流行业绩效方面的作用。然而，所有驱动因素对加拿大的影响在统计上比对孟加拉国更显着。因此，本研究证明了工业 4.0 在改善对比经济体物流行业绩效方面的作用。