{"title":"印度建筑业采用工业4.0面临的挑战的识别和严重性评估","authors":"Arpit Singh , Vimal Kumar , Pratima Verma , Jayakrishna Kandasamy","doi":"10.1016/j.apmrv.2022.10.007","DOIUrl":null,"url":null,"abstract":"<div><p>The current exploratory study identifies the major challenges in the adoption of Industry 4.0 framework in the Indian construction industry and subsequently ranks the challenges on the basis of the severity. Based on the extant literature review and personal interaction with construction management, information technology (IT) professionals, and academicians, twenty-five challenges were identified. After validating the challenges, they were ranked from most severe to least severe using the multi-criteria decision-making (MCDM) method based on rough set theory that leans on the indiscernibility relation between the objects. The study indicates that huge initial investments and costs incurred to mobilize the internet of things (IoT) enabled framework in the construction firms are the major obstacles to the adoption of the Industry 4.0 methods. The recruitment of experts to train the employees and workers is seen as another big hurdle in the aforementioned objective. It is a challenge to educate and train them on sophisticated technology that requires a basic understanding of computer fundamentals and IT-related concepts that is found lacking in the workers employed at the lower levels. Proper maintenance of sensitive tools and equipment such as IoT devices is a challenging task due to the nature of the activities taking place at construction sites. The multi-criteria method of ranking based on Dominance-based Rough Set Analysis (DRSA) has never been attempted to rank the challenges and assign a severity score. The study adds novelty to the existing literature in the domain of multi-criteria ranking by including a tool that is new to this area of research.</p></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Identification and severity assessment of challenges in the adoption of industry 4.0 in Indian construction industry\",\"authors\":\"Arpit Singh , Vimal Kumar , Pratima Verma , Jayakrishna Kandasamy\",\"doi\":\"10.1016/j.apmrv.2022.10.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The current exploratory study identifies the major challenges in the adoption of Industry 4.0 framework in the Indian construction industry and subsequently ranks the challenges on the basis of the severity. Based on the extant literature review and personal interaction with construction management, information technology (IT) professionals, and academicians, twenty-five challenges were identified. After validating the challenges, they were ranked from most severe to least severe using the multi-criteria decision-making (MCDM) method based on rough set theory that leans on the indiscernibility relation between the objects. The study indicates that huge initial investments and costs incurred to mobilize the internet of things (IoT) enabled framework in the construction firms are the major obstacles to the adoption of the Industry 4.0 methods. The recruitment of experts to train the employees and workers is seen as another big hurdle in the aforementioned objective. It is a challenge to educate and train them on sophisticated technology that requires a basic understanding of computer fundamentals and IT-related concepts that is found lacking in the workers employed at the lower levels. Proper maintenance of sensitive tools and equipment such as IoT devices is a challenging task due to the nature of the activities taking place at construction sites. The multi-criteria method of ranking based on Dominance-based Rough Set Analysis (DRSA) has never been attempted to rank the challenges and assign a severity score. The study adds novelty to the existing literature in the domain of multi-criteria ranking by including a tool that is new to this area of research.</p></div>\",\"PeriodicalId\":46001,\"journal\":{\"name\":\"Asia Pacific Management Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia Pacific Management Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1029313222000501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia Pacific Management Review","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1029313222000501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
Identification and severity assessment of challenges in the adoption of industry 4.0 in Indian construction industry
The current exploratory study identifies the major challenges in the adoption of Industry 4.0 framework in the Indian construction industry and subsequently ranks the challenges on the basis of the severity. Based on the extant literature review and personal interaction with construction management, information technology (IT) professionals, and academicians, twenty-five challenges were identified. After validating the challenges, they were ranked from most severe to least severe using the multi-criteria decision-making (MCDM) method based on rough set theory that leans on the indiscernibility relation between the objects. The study indicates that huge initial investments and costs incurred to mobilize the internet of things (IoT) enabled framework in the construction firms are the major obstacles to the adoption of the Industry 4.0 methods. The recruitment of experts to train the employees and workers is seen as another big hurdle in the aforementioned objective. It is a challenge to educate and train them on sophisticated technology that requires a basic understanding of computer fundamentals and IT-related concepts that is found lacking in the workers employed at the lower levels. Proper maintenance of sensitive tools and equipment such as IoT devices is a challenging task due to the nature of the activities taking place at construction sites. The multi-criteria method of ranking based on Dominance-based Rough Set Analysis (DRSA) has never been attempted to rank the challenges and assign a severity score. The study adds novelty to the existing literature in the domain of multi-criteria ranking by including a tool that is new to this area of research.
期刊介绍:
Asia Pacific Management Review (APMR), peer-reviewed and published quarterly, pursues to publish original and high quality research articles and notes that contribute to build empirical and theoretical understanding for concerning strategy and management aspects in business and activities. Meanwhile, we also seek to publish short communications and opinions addressing issues of current concern to managers in regards to within and between the Asia-Pacific region. The covered domains but not limited to, such as accounting, finance, marketing, decision analysis and operation management, human resource management, information management, international business management, logistic and supply chain management, quantitative and research methods, strategic and business management, and tourism management, are suitable for publication in the APMR.