印度建筑业实施数字化的障碍

Avirag Bajpai, S. Misra
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引用次数: 15

摘要

目的本研究旨在分析印度建筑业实施数字化的关键障碍,因为印度建筑公司在工作环境中实施数字化技术方面存在滞后。设计/方法论/方法在本研究论文中,采用了定性研究方法,并对行业和学术专家进行了多次详细访谈。此外,使用多准则决策(MCDM)技术来最终确定各种备选方案之间的优先级。采用模糊决策试验与评估实验室(fuzzy DEMATEL)和解释性结构建模(ISM)技术来寻找已识别备选方案之间的确切关系。发现这项研究从广泛的文献综述和对行业专业人士的多次采访中确定了14个关键障碍,并确定了进一步的驱动和关键障碍。研究局限性/含义在本文中,对来自印度一家大型建筑公司的有限数量的受访者进行了探索性研究。此外,可以使用更先进的统计工具进行详细的纵向分析,以评估参与者的主观性。然而,本研究讨论了与建筑业数字化实施有关的几点。该研究进一步确定了印度建筑业数字化的关键障碍。实际含义这项研究的发现有两方面的含义。首先,它通过强调高层管理人员的参与是成功数字化的关键重点领域,为建筑业提供了路线图。其次,这一发现还表明,数字化过程与采用精益和全面质量管理(TQM)等过程改进技术相似,其中最高管理层在实现颠覆性变革方面发挥着至关重要的作用。原创性/价值这项研究在两个方面是独一无二的。首先,这是为数不多的在印度背景下理解数字化的尝试之一。其次,研究还表明,模糊DEMATEL和ISM技术的结合可以成功地应用于新兴的建筑数字化研究领域。
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Barriers to implementing digitalization in the Indian construction industry
PurposeThis research paper aims to analyze the critical barriers to implementing digitalization in the Indian construction industry as Indian construction companies are lagging in the implementation of digital technologies in the work environment.Design/methodology/approachIn this research paper, a qualitative research approach is adopted, and multiple detailed interviews are conducted with industry and academic experts. Further, multi-criteria decision-making (MCDM) techniques are used to finalize the prioritization among various alternatives. The fuzzy-decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) and interpretive structural modeling (ISM) techniques are employed to find the exact relationship among the identified alternatives.FindingsThis study identifies 14 critical barriers from an extensive literature review and multiple interviews with industry professionals, and further driving and critical barriers are identified.Research limitations/implicationsIn this research paper, an exploratory study with a limited number of respondents from a large Indian construction company is carried out. Further, a detailed longitudinal analysis can be done to assess the subjectivity of the participants with more advanced statistical tools. However, this research discusses several points pertaining to the implementation of digitalization in the construction industry. The research further identifies the critical barriers to digitalization in the Indian construction industry.Practical implicationsThe finding of the study has two-pronged implications. First, it provides a road-map to the construction industry by highlighting the engagement of top management as the key focus area for successful digitalization. Second, the finding also shows similarity of the digitalization process to the adoption of process improvement techniques like lean and total quality management (TQM), wherein the top management plays a crucial role in ushering in the implementation of a disruptive change.Originality/valueThe research is unique in two ways. First, this is one of the very few attempts to understand digitalization in the Indian context. Second, the research also demonstrates that the combination of fuzzy DEMATEL and ISM techniques can be successfully employed in the emerging field of construction digitalization research.
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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