{"title":"工业革命4.0及其对企业组织和管理演变的影响","authors":"Holta Kora, Rajmonda Beluli","doi":"10.13166/ic/712022.4979","DOIUrl":null,"url":null,"abstract":"Fourth Industrial Revolution or Industry 4.0 refers to the evolution of industries, particularly in the manufacturing and chain production areas. Executive managerial decisions this industry have a substantial impact on technology, data management and analytics, data security, risk management, regulatory compliance, validation, and human resource practices, among other things. Artificial Intelligence, sensors, enterprise-level solution platforms, and Machine Learning will all be used extensively in the fourth industrial revolution. In industry 4.0, the volume of external and internal Internet of Things (IoT) data is expected to expand, resulting in a drastic shift in information.\nThe IR4.0 will result in an abundance of data flowing to quality experts in real-time, and this data will come from various sources at the same time, necessitating intelligent utilization to enable quick and effective decision-making. Managers and quality control employees must make the necessary decisions to provide a smooth transition to digital technology, which will increase the efficiency and quality of manufactured goods and services. Companies will be required to employ effective risk management strategies as part of the fourth industrial revolution in order to improve product quality and operational efficiency by allowing machine learning and Artificial Intelligence to give the finest services. As a result, the risk management team must develop plans to ensure that these tactics are implemented properly.\nFurthermore, quality managers must ensure that Quality 4.0, which will coincide with the fourth industrial revolution, is implemented effectively. Previous research into how Industry 4.0 affects managerial decisions has been lacking and unsatisfactory. As a result, the article tries to provide a complete assessment of the fourth industrial revolution’s management implications.\n ","PeriodicalId":46608,"journal":{"name":"Language and Intercultural Communication","volume":"44 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Industrial Revolution 4.0 and its impact on the evolution of the firm’s organization and management\",\"authors\":\"Holta Kora, Rajmonda Beluli\",\"doi\":\"10.13166/ic/712022.4979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fourth Industrial Revolution or Industry 4.0 refers to the evolution of industries, particularly in the manufacturing and chain production areas. Executive managerial decisions this industry have a substantial impact on technology, data management and analytics, data security, risk management, regulatory compliance, validation, and human resource practices, among other things. Artificial Intelligence, sensors, enterprise-level solution platforms, and Machine Learning will all be used extensively in the fourth industrial revolution. In industry 4.0, the volume of external and internal Internet of Things (IoT) data is expected to expand, resulting in a drastic shift in information.\\nThe IR4.0 will result in an abundance of data flowing to quality experts in real-time, and this data will come from various sources at the same time, necessitating intelligent utilization to enable quick and effective decision-making. Managers and quality control employees must make the necessary decisions to provide a smooth transition to digital technology, which will increase the efficiency and quality of manufactured goods and services. Companies will be required to employ effective risk management strategies as part of the fourth industrial revolution in order to improve product quality and operational efficiency by allowing machine learning and Artificial Intelligence to give the finest services. As a result, the risk management team must develop plans to ensure that these tactics are implemented properly.\\nFurthermore, quality managers must ensure that Quality 4.0, which will coincide with the fourth industrial revolution, is implemented effectively. Previous research into how Industry 4.0 affects managerial decisions has been lacking and unsatisfactory. As a result, the article tries to provide a complete assessment of the fourth industrial revolution’s management implications.\\n \",\"PeriodicalId\":46608,\"journal\":{\"name\":\"Language and Intercultural Communication\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Language and Intercultural Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.13166/ic/712022.4979\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language and Intercultural Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.13166/ic/712022.4979","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
Industrial Revolution 4.0 and its impact on the evolution of the firm’s organization and management
Fourth Industrial Revolution or Industry 4.0 refers to the evolution of industries, particularly in the manufacturing and chain production areas. Executive managerial decisions this industry have a substantial impact on technology, data management and analytics, data security, risk management, regulatory compliance, validation, and human resource practices, among other things. Artificial Intelligence, sensors, enterprise-level solution platforms, and Machine Learning will all be used extensively in the fourth industrial revolution. In industry 4.0, the volume of external and internal Internet of Things (IoT) data is expected to expand, resulting in a drastic shift in information.
The IR4.0 will result in an abundance of data flowing to quality experts in real-time, and this data will come from various sources at the same time, necessitating intelligent utilization to enable quick and effective decision-making. Managers and quality control employees must make the necessary decisions to provide a smooth transition to digital technology, which will increase the efficiency and quality of manufactured goods and services. Companies will be required to employ effective risk management strategies as part of the fourth industrial revolution in order to improve product quality and operational efficiency by allowing machine learning and Artificial Intelligence to give the finest services. As a result, the risk management team must develop plans to ensure that these tactics are implemented properly.
Furthermore, quality managers must ensure that Quality 4.0, which will coincide with the fourth industrial revolution, is implemented effectively. Previous research into how Industry 4.0 affects managerial decisions has been lacking and unsatisfactory. As a result, the article tries to provide a complete assessment of the fourth industrial revolution’s management implications.
期刊介绍:
Language & Intercultural Communication promotes an interdisciplinary understanding of the interplay between language and intercultural communication. It therefore welcomes research into intercultural communication, particularly where it explores the importance of linguistic aspects; and research into language, especially the learning of foreign languages, where it explores the importance of intercultural perspectives. The journal is alert to the implications for education, especially higher education, and for language learning and teaching. It is also receptive to research on the frontiers between languages and cultures, and on the implications of linguistic and intercultural issues for the world of work.