• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of advances in management research >Industry 4.0 adoption key factors: an empirical study on manufacturing industry
【24h】

Industry 4.0 adoption key factors: an empirical study on manufacturing industry

机译：行业4.0采用关键因素：制造业的实证研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Purpose - This research aims to outline the key factors responsible for industry 4.0 (I4.0) application in industries and establish a factor stratification model. Design/methodology/approach - This article identifies the factor pool responsible for I4.0 from the extant literature. It aims to identify the set of key factors for the I4.0 application in the manufacturing industry and validate, classify factor pool using appropriate statistical tools, for example, factor analysis, principal component analysis and item analysis. Findings - This study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries from the factor pool. This study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries. Strategy, leadership and culture are found key elements of transformation in the journey of I4.0. Additionally, design and development in the digital twin, virtual testing and simulations were also important factors to consider by manufacturing firms. Research limitations/implications - The proposed I4.0 factor stratification model will act as a starting point while designing strategy, adopting readiness index for I4.0 and creating a roadmap for I4.0 application in manufacturing. The I4.0 factors identified and validated in this paper will act as a guide for policymakers, researchers, academicians and practitioners working on the implementation of Industry 4.0. This work establishes a solid groundwork for developing an I4.0 maturity model for manufacturing industries. Originality/value - The existing I4.0 literature is critically examined for creating a factor pool that further presented to experts to ensure sufficient rigor and comprehensiveness, particularly checking the relevance of subfactors for the manufacturing sector. This work is an attempt to identify and validate major I4.0 factors that can impact its mass adoption that is further empirically tested for factor stratification.
机译：目的 - 本研究旨在概述负责工业4.0（I4.0）在行业中的应用的关键因素，并建立一个因素分层模型。设计/方法/方法 - 本文识别来自现时文学的I4.0负责的因子池。它旨在识别制造业I4.0应用程序的一组关键因素，并使用适当的统计工具进行分类，分类因子池，例如因子分析，主成分分析和项目分析。调查结果 - 本研究将阐明在因子池中制造业实施I4.0的关键因素和资源因素。本研究将阐明在制造业I4.0中实施I4.0的关键因素和构造体。在I4.0之旅中发现了战略，领导力和文化的关键因素。此外，在数字双胞胎，虚拟测试和模拟中的设计和开发也是制造公司考虑的重要因素。研究限制/含义 - 所提出的I4.0因子分层模型将充当起点，同时设计策略，采用I4.0的准备索引并为i4.0在制造中创建路线图。本文确定和验证的I4.0因素将作为决策者，研究人员，院士和正在研究行业实施的研究人员4.0的指南。这项工作为开发制造业I4.0成熟度模型建立了坚实的基础。原创性/值 - 现有的I4.0文献是批判性的，用于创建一个因素池进一步提交给专家，以确保足够的严格和全面性，特别是检查制造业的子因素的相关性。这项工作是试图识别和验证可能影响其大规模采用的主要I4.0因素，这是因素地分层进行了经验经验测试的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号