The application of digital technology in the field of construction is still in its infancy, and the existing concrete framework of digital technology application in the construction industry and the study of applied e...The application of digital technology in the field of construction is still in its infancy, and the existing concrete framework of digital technology application in the construction industry and the study of applied ecological elements are not enough. The ecological elements of digital technology application in the construction industry are important factors that promote the healthy op</span><span style="font-family:Verdana;">eration of the entire digital technology application ecosystem. </span><span style="font-family:Verdana;">Using grounded theory, we compiled the data of 33 researchers who participated in </span><span style="font-family:Verdana;">semi-structured interviews, and obtained 4 main categories and 9</span><span style="font-family:Verdana;"> sub-categories of ecological elements of digital technology application in the construction industry. Among them, the digital technology application mechanism is the core category of ecological application elements. We also used the Bass model to analyze the application trend of digital technology in the construction industry. </span><span style="font-family:Verdana;">In 2040, the number of construction companies applying digital</span><span style="font-family:Verdana;"> technology will reach 98.66% of the maximum market potential.展开更多
The prevalence of mental health problems in both Malaysian and global workplaces has significantly increased due to the presence of the coronavirus disease(COVID-19)pandemic,globalization,technology advancement in Indu...The prevalence of mental health problems in both Malaysian and global workplaces has significantly increased due to the presence of the coronavirus disease(COVID-19)pandemic,globalization,technology advancement in Industry 4.0,and other contributing factors.The pervasiveness of the issue poses a huge challenge to improving the occupational safety and health(OSH)of workers in various industries,especially in the digital industry.The emergence of the innovative industry is evident mainly due to the rapid development of Industry 4.0 and the rele-vant demands of multiple businesses in the digital transformation.Nonetheless,limited studies and academic dis-cussions were conducted on the OSH topic of digital employees.Hence,the current study serves tofill the existing gap and provide academic contributions by scrutinising the perceptions of digital workers regarding their work-place well-being,mental health literacy,and the impression of employing e-mental health.The objectives of this study are:1)To examine the mental health literacy and workplace wellness of digital workers,2)to explore the e-mental health usage intention and actual e-mental health utilization,and 3)to identify digital workers’feedback on e-mental health.In the current context,e-mental health focuses on three dimensions,namely,1)“health in our hand(HIOH)”,2)“interacting for health(IFH)”,and 3)“data enabling health(DEH)”.The present study employed an online cross-sectional survey and received 326 digital workers’completed responses.Variables,such as“mental health literacy(MHL)”,“workplace wellness(WW)”,and e-mental health intention and usage were explicated by analysing the data through descriptive statistics.The study results indicated a moderate to a high level of the MHL and the WW.More than half of the workers possessed a high intention level to employ e-mental health,with the HIOH dimension being the most prevalent domain.Nevertheless,the actual e-mental health usage was very low,owing to the online resources being a new concept amongst digital employees.Numerous confounding factors also existed in affecting the low usage,such as privacy concerns,data security levels,and health verification issues.In addition,the mental health issue has not been openly and widely discussed in Malay-sian workplaces due to stigmatisation.As such,the currentfindings could provide additional insights into the OSH literature;it could serve as a guideline for the OSH decision-makers,employers,and eHealth developers when establishing a feasible framework for the practical adoption of e-mental health services by digital workers.展开更多
In recent years,the global booming of the digital economy has become a booster for China's high-quality development.In the digital economy era,the digital upgrading of the industrial structure has become obvious.B...In recent years,the global booming of the digital economy has become a booster for China's high-quality development.In the digital economy era,the digital upgrading of the industrial structure has become obvious.Based on a grey relational entropy model and dissipative structure theory,our empirical study reveals that the impact of the digital economy on the industrial structure varies over time.Since2013,the digital economy has become an engine for China's continuous industrial structure upgrading.By comparing the influence of the development of digital industrialization and the industrial digitization on industrial structure upgrading,we find that the former has a foundational leading role in the upgrading of the industrial structure,but the latter has a stronger impact.Therefore,the digital economy is an important driving force being able to lead the future upgrading of the industrial structure.China should rapidly promote the construction of new digital infrastructure and implement strategic spatial layouts for the development of digital industrialization while concurrently accelerating the industrial digitization.This will enable China's economy to achieve higher-quality,more efficient and more secure development in the postepidemic era.It is also an effective means for accelerating the development of a modern industrial system and will promote the upgrading of the economy.展开更多
Maritime transport is the backbone of international trade and globalization.Maritime transport research can be roughly divided into two categories,namely the shipping side and the port side.Most of the classic approac...Maritime transport is the backbone of international trade and globalization.Maritime transport research can be roughly divided into two categories,namely the shipping side and the port side.Most of the classic approaches adopted to address practical problems in these research topics are based on long-term observations and expert knowledge,while few of them are based on historical data accumulated from practice.In recent years,emerging approaches,which we refer to as machine learning and deep learning techniques in this essay,have been receiving a wider attention to solve practical problems.As a relatively conservative industry,there are some initial trials of applying the emerging approaches to solve practical problems in the maritime sector.The objective of this essay is to review the application of emerging approaches to maritime transport research.The main research topics in maritime transport and classic methods developed to solve them are first presented.The introduction of emerging approaches and their suitability to be applied in maritime transport research is then discussed.Related existing studies are then reviewed according to problem settings,main data sources,and emerging approaches adopted.Challenges and solutions in the process are also discussed from the perspectives of data,model,users,and targets.Finally,promising future research directions are identified.This essay is the first to give a comprehensive review of existing studies on developing machine learning and deep learning models together with popular data sources used to address practical problems in maritime transport.展开更多
1 Introduction 1.1 Definition and stakeholders of the Industrial Internet The Industrial Internet is a novel network technology system that applies the Internet of Things(IoT)to the manufacturing and industrial sector...1 Introduction 1.1 Definition and stakeholders of the Industrial Internet The Industrial Internet is a novel network technology system that applies the Internet of Things(IoT)to the manufacturing and industrial sectors.It facilitates the connection of various sensors,devices,systems,factories,and enterprises,enabling the sharing and exchange of data to improve production efficiency,reduce costs,enhance product quality,and enable smart manufacturing.The Industrial Internet serves as a crucial cornerstone and essential support for the Fourth Industrial Revolution,offering specific approaches for industrial digital transformation.Through the comprehensive interconnection of people,machines,and things,the Industrial Internet analyzes various data from intelligent feedback,fostering the development of a new manufacturing and service system.展开更多
文摘The application of digital technology in the field of construction is still in its infancy, and the existing concrete framework of digital technology application in the construction industry and the study of applied ecological elements are not enough. The ecological elements of digital technology application in the construction industry are important factors that promote the healthy op</span><span style="font-family:Verdana;">eration of the entire digital technology application ecosystem. </span><span style="font-family:Verdana;">Using grounded theory, we compiled the data of 33 researchers who participated in </span><span style="font-family:Verdana;">semi-structured interviews, and obtained 4 main categories and 9</span><span style="font-family:Verdana;"> sub-categories of ecological elements of digital technology application in the construction industry. Among them, the digital technology application mechanism is the core category of ecological application elements. We also used the Bass model to analyze the application trend of digital technology in the construction industry. </span><span style="font-family:Verdana;">In 2040, the number of construction companies applying digital</span><span style="font-family:Verdana;"> technology will reach 98.66% of the maximum market potential.
基金This research is supported by the Malaysia Ministry of Higher Education’s Fundamental Research Grant Scheme(FRGS)[FRGS/1/2019/SS09/MMU/02/3]MMUE/190073 led by the second author.
文摘The prevalence of mental health problems in both Malaysian and global workplaces has significantly increased due to the presence of the coronavirus disease(COVID-19)pandemic,globalization,technology advancement in Industry 4.0,and other contributing factors.The pervasiveness of the issue poses a huge challenge to improving the occupational safety and health(OSH)of workers in various industries,especially in the digital industry.The emergence of the innovative industry is evident mainly due to the rapid development of Industry 4.0 and the rele-vant demands of multiple businesses in the digital transformation.Nonetheless,limited studies and academic dis-cussions were conducted on the OSH topic of digital employees.Hence,the current study serves tofill the existing gap and provide academic contributions by scrutinising the perceptions of digital workers regarding their work-place well-being,mental health literacy,and the impression of employing e-mental health.The objectives of this study are:1)To examine the mental health literacy and workplace wellness of digital workers,2)to explore the e-mental health usage intention and actual e-mental health utilization,and 3)to identify digital workers’feedback on e-mental health.In the current context,e-mental health focuses on three dimensions,namely,1)“health in our hand(HIOH)”,2)“interacting for health(IFH)”,and 3)“data enabling health(DEH)”.The present study employed an online cross-sectional survey and received 326 digital workers’completed responses.Variables,such as“mental health literacy(MHL)”,“workplace wellness(WW)”,and e-mental health intention and usage were explicated by analysing the data through descriptive statistics.The study results indicated a moderate to a high level of the MHL and the WW.More than half of the workers possessed a high intention level to employ e-mental health,with the HIOH dimension being the most prevalent domain.Nevertheless,the actual e-mental health usage was very low,owing to the online resources being a new concept amongst digital employees.Numerous confounding factors also existed in affecting the low usage,such as privacy concerns,data security levels,and health verification issues.In addition,the mental health issue has not been openly and widely discussed in Malay-sian workplaces due to stigmatisation.As such,the currentfindings could provide additional insights into the OSH literature;it could serve as a guideline for the OSH decision-makers,employers,and eHealth developers when establishing a feasible framework for the practical adoption of e-mental health services by digital workers.
基金supported by Major Research Project of the National Social Science Foundation of China“Development of an Academic Discourse System for Philosophy and Social Sciences with Chinese characteristics”(18VXK002)Research Project of the National Social Science Foundation of China“Pathways and Mechanisms for the Development of the New Economy and Transformation of Industry Drivers in China”(19BJY093)+1 种基金Chinese Academy of Social Sciences Strategic Discipline(Industrial Economics)Research ProjectChinese Academy of Social Sciences Beijing-Tianjin-Hebei Integrated Development Think Tank Foundational Research Project“Evaluation of the Security of Electronics and IT Industry Supply Chain”(2020G04).
文摘In recent years,the global booming of the digital economy has become a booster for China's high-quality development.In the digital economy era,the digital upgrading of the industrial structure has become obvious.Based on a grey relational entropy model and dissipative structure theory,our empirical study reveals that the impact of the digital economy on the industrial structure varies over time.Since2013,the digital economy has become an engine for China's continuous industrial structure upgrading.By comparing the influence of the development of digital industrialization and the industrial digitization on industrial structure upgrading,we find that the former has a foundational leading role in the upgrading of the industrial structure,but the latter has a stronger impact.Therefore,the digital economy is an important driving force being able to lead the future upgrading of the industrial structure.China should rapidly promote the construction of new digital infrastructure and implement strategic spatial layouts for the development of digital industrialization while concurrently accelerating the industrial digitization.This will enable China's economy to achieve higher-quality,more efficient and more secure development in the postepidemic era.It is also an effective means for accelerating the development of a modern industrial system and will promote the upgrading of the economy.
基金supported by the National Natural Science Foundation of China(Grant numbers 72025103,71831008,72071173).
文摘Maritime transport is the backbone of international trade and globalization.Maritime transport research can be roughly divided into two categories,namely the shipping side and the port side.Most of the classic approaches adopted to address practical problems in these research topics are based on long-term observations and expert knowledge,while few of them are based on historical data accumulated from practice.In recent years,emerging approaches,which we refer to as machine learning and deep learning techniques in this essay,have been receiving a wider attention to solve practical problems.As a relatively conservative industry,there are some initial trials of applying the emerging approaches to solve practical problems in the maritime sector.The objective of this essay is to review the application of emerging approaches to maritime transport research.The main research topics in maritime transport and classic methods developed to solve them are first presented.The introduction of emerging approaches and their suitability to be applied in maritime transport research is then discussed.Related existing studies are then reviewed according to problem settings,main data sources,and emerging approaches adopted.Challenges and solutions in the process are also discussed from the perspectives of data,model,users,and targets.Finally,promising future research directions are identified.This essay is the first to give a comprehensive review of existing studies on developing machine learning and deep learning models together with popular data sources used to address practical problems in maritime transport.
文摘1 Introduction 1.1 Definition and stakeholders of the Industrial Internet The Industrial Internet is a novel network technology system that applies the Internet of Things(IoT)to the manufacturing and industrial sectors.It facilitates the connection of various sensors,devices,systems,factories,and enterprises,enabling the sharing and exchange of data to improve production efficiency,reduce costs,enhance product quality,and enable smart manufacturing.The Industrial Internet serves as a crucial cornerstone and essential support for the Fourth Industrial Revolution,offering specific approaches for industrial digital transformation.Through the comprehensive interconnection of people,machines,and things,the Industrial Internet analyzes various data from intelligent feedback,fostering the development of a new manufacturing and service system.
