Bridging the gap: Empowering manufacturing and production small medium enterprises through industrial Internet of Things adoption model

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Sajid Shah, Syed Hamid Hussain Madni, Siti Zaitoon Mohd Hashim, Muhammad Faheem, Hafiz Muhammad Faisal Shahzad
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引用次数: 0

Abstract

The industrial Internet of Things (IIoT) is revolutionising manufacturing and production of small and medium enterprises (SMEs) by enhancing efficiency and product quality. While developed countries like the USA, UK, Canada, Finland, and Japan have widely adopted IIoT, developing nations such as Bangladesh, India, Pakistan, and Malaysia are still lagging. This study explores IIoT adoption in manufacturing SMEs, emphasising its potential for economic growth despite challenges like budget constraints and skill gaps in developing countries. It presents a novel model based on 17 factors from the TOEI (Technology, Organization, Environment, and Individual) framework to support decision-makers in integrating IIoT technologies. The model’s reliability and validity are confirmed through rigorous testing and a survey of three SMEs. This proposed model serves as a roadmap for SMEs, breaking down complex processes into manageable steps, and providing SMEs with a structured approach.

Abstract Image

弥合差距:通过工业物联网采用模式,为制造业和生产型中小企业赋权
工业物联网(IIoT)通过提高效率和产品质量,正在彻底改变中小型企业(SMEs)的制造和生产。虽然像美国、英国、加拿大、芬兰和日本这样的发达国家已经广泛采用了工业物联网,但孟加拉国、印度、巴基斯坦和马来西亚等发展中国家仍然落后。本研究探讨了工业物联网在制造业中小企业中的应用,强调了其在发展中国家面临预算限制和技能差距等挑战时的经济增长潜力。它提出了一个基于TOEI(技术、组织、环境和个人)框架中的17个因素的新模型,以支持决策者集成工业物联网技术。通过严格的检验和对三家中小企业的调查,验证了模型的信度和效度。这个建议的模型可以作为中小企业的路线图,将复杂的流程分解为可管理的步骤,并为中小企业提供结构化的方法。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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