This investigation is focused on conducting a thorough analysis of Municipal Solid Waste Management (MSWM). MSWM encompasses a range of interdisciplinary measures that govern the various stages involved in managing un...This investigation is focused on conducting a thorough analysis of Municipal Solid Waste Management (MSWM). MSWM encompasses a range of interdisciplinary measures that govern the various stages involved in managing unwanted or non-utilizable solid materials, commonly known as rubbish, trash, junk, refuse, and garbage. These stages include generation, storage, collection, recycling, transportation, handling, disposal, and monitoring. The waste materials mentioned in this context exhibit a wide range of items, such as organic waste from food and vegetables, paper, plastic, polyethylene, iron, tin cans, deceased animals, byproducts from demolition activities, manure, and various other discarded materials. This study aims to provide insights into the possibilities of enhancing solid waste management in the Farmgate area of Dhaka North City Corporation (DNCC). To accomplish this objective, the research examines the conventional waste management methods employed in this area. It conducts extensive field surveys, collecting valuable data through interviews with local residents and key individuals involved in waste management, such as waste collectors, dealers, intermediate dealers, recyclers, and shopkeepers. The results indicate that significant amounts of distinct waste categories are produced daily. These include food and vegetable waste, which amount to 52.1 tons/day;polythene and plastic, which total 4.5 tons/day;metal and tin-can waste, which amounts to 1.4 tons/day;and paper waste, which totals 5.9 tons/day. This study highlights the significance of promoting environmental consciousness to effectively shape the attitudes of urban residents toward waste disposal and management. It emphasizes the need for collaboration between authorities and researchers to improve the current waste management system.展开更多
The International Healthcare Community recommends that countries do not exceed a 15% rate for cesarean section (CS). Our objective was to determine the prevalence and factors associated with CS at GPHC from July to Se...The International Healthcare Community recommends that countries do not exceed a 15% rate for cesarean section (CS). Our objective was to determine the prevalence and factors associated with CS at GPHC from July to September 2022. Methods: A cross-sectional study was carried out and data were collected from 1296 mothers, who met the inclusion criteria, through face-to-face interviews after obtaining prior informed consent. We performed descriptive analyses both for the outcome and independent variables. Bivariate and multiple logistic regression were used to identify factors associated with CS with a p-value Results: The prevalence of CS at GPHC was 28.9% (95%CI: 26.5-31.5). Factors associated factors with CS were mothers aged 20 to 34 years (AOR: 1.56, 95%CI: 1.02 - 2.39, P = 0.039);mothers who received more than three minimum wages (AOR: 1.95, 95%CI: 1.29 - 2.97, P = 0.002) and who attended prenatal care at both public and private health facilities (AOR: 2.49, 95% CI: 1.19 - 5.22, P = 0.022). Likewise, the highest Odds of CS were observed in mothers with gestational hypertension (AOR: 2.00, 95%CI: 1.35 - 2.96, P Conclusion: The prevalence of CS is higher than the ideal rate recommended by the International Healthcare Community. More studies are needed to understand the reasons for such high prevalence at GPHC.展开更多
In recent times,technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners.Integrating the Internet of Things...In recent times,technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners.Integrating the Internet of Things(IoT)into education can facilitate the teaching and learning process and expand the context in which students learn.Nevertheless,learning data is very sensitive and must be protected when transmitted over the network or stored in data centers.Moreover,the identity and the authenticity of interacting students,instructors,and staff need to be verified to mitigate the impact of attacks.However,most of the current security and authentication schemes are centralized,relying on trusted third-party cloud servers,to facilitate continuous secure communication.In addition,most of these schemes are resourceintensive;thus,security and efficiency issues arise when heterogeneous and resource-limited IoT devices are being used.In this paper,we propose a blockchain-based architecture that accurately identifies and authenticates learners and their IoT devices in a decentralized manner and prevents the unauthorized modification of stored learning records in a distributed university network.It allows students and instructors to easily migrate to and join multiple universities within the network using their identity without the need for user re-authentication.The proposed architecture was tested using a simulation tool,and measured to evaluate its performance.The simulation results demonstrate the ability of the proposed architecture to significantly increase the throughput of learning transactions(40%),reduce the communication overhead and response time(26%),improve authentication efficiency(27%),and reduce the IoT power consumption(35%)compared to the centralized authentication mechanisms.In addition,the security analysis proves the effectiveness of the proposed architecture in resisting various attacks and ensuring the security requirements of learning data in the university network.展开更多
In the past two decades,there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification.Themajor research areas of this field include obj...In the past two decades,there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification.Themajor research areas of this field include object detection and object recognition.Moreover,wireless communication technologies are presently adopted and they have impacted the way of education that has been changed.There are different phases of changes in the traditional system.Perception of three-dimensional(3D)from two-dimensional(2D)image is one of the demanding tasks.Because human can easily perceive but making 3D using software will take time manually.Firstly,the blackboard has been replaced by projectors and other digital screens so such that people can understand the concept better through visualization.Secondly,the computer labs in schools are now more common than ever.Thirdly,online classes have become a reality.However,transferring to online education or e-learning is not without challenges.Therefore,we propose a method for improving the efficiency of e-learning.Our proposed system consists of twoand-a-half dimensional(2.5D)features extraction using machine learning and image processing.Then,these features are utilized to generate 3D mesh using ellipsoidal deformation method.After that,3D bounding box estimation is applied.Our results show that there is a need to move to 3D virtual reality(VR)with haptic sensors in the field of e-learning for a better understanding of real-world objects.Thus,people will have more information as compared to the traditional or simple online education tools.We compare our result with the ShapeNet dataset to check the accuracy of our proposed method.Our proposed system achieved an accuracy of 90.77%on plane class,85.72%on chair class,and car class have 72.14%.Mean accuracy of our method is 70.89%.展开更多
Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a di...Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.展开更多
As China’s overseas investment and business operations continue to expand,the issue of human rights risks faced by Chinese transnational corporations abroad has attracted sustained attention from society.In recent ye...As China’s overseas investment and business operations continue to expand,the issue of human rights risks faced by Chinese transnational corporations abroad has attracted sustained attention from society.In recent years,China has enacted a series of laws,regulations,and policies to better regulate the overseas business conduct of transnational corporations,urging them to respect the human rights of the people in host countries and fulfill their social responsibilities to achieve sustainable development.Meanwhile,China has actively participated in the formulation of the Legally Binding Instrument on Activities of Transnational Corporations and Other Business Enterprises in International Human Rights Law,providing a Chinese solution to promote global governance of transnational corporations.However,in practice,the lack of institutional mechanisms,systems,and industry rules to supervise and guide transnational enterprises in fulfilling their human rights responsibilities,as well as the limited awareness of human rights risks among these enterprises,have resulted in ongoing human rights risks in their overseas business operations,particularly regarding labor rights and environmental rights.In response,China should take its national conditions into consideration and focus on the development trends of human rights issues in the business sector at the international level.Drawing on the experiences of other countries,China should explore and establish institutional and practical measures to regulate the human rights responsibilities of transnational enterprises through legislation,administration,and judiciary actions,in order to address the risks and challenges faced by Chinese enterprises in foreign investments and contribute to the sustainable development of the world and global human rights governance.展开更多
We analyze the risks associated with teenagers’ online activities and the potential migration of cyber threats originating from teenagers to their parents’ work-from-home (WFH) devices, even when defensive measures ...We analyze the risks associated with teenagers’ online activities and the potential migration of cyber threats originating from teenagers to their parents’ work-from-home (WFH) devices, even when defensive measures such as VPN are employed. Furthermore, we examine the serious implications these risks have on corporate security. Of particular concern, parents who work with confidential corporate information, such as financial projections or product roadmaps, might find that their kids are targeted by hackers who seek an easier entry-point to home networks and eventually WFH devices. This paper is timely since there is a rising trend of hybrid work in white-collar professions, mixing traditional in-office work with WFH. The latter is increasingly done in split shifts, including work performed before breakfast or after dinner. While this shift offers numerous workforce advantages and helps teen-parent bonding, it also introduces a plethora of cybersecurity risks, especially when these devices and networks are shared with teenagers on home networks. We did a structured survey of 62 teens which confirms that risky online activity abounds, so the threat of risk migration onto corporate networks should not be ignored. We perform a migration risk assessment and identify which teen-origin risks are most likely to contaminate parents’ WFH devices. We evaluate 20 attack vectors and generate 60 risk ratings. We classify 29 as high risk, 8 as medium risk, 13 as low risk, and 10 as not relevant. We offer recommendations to mitigate this new set of cyber risks.展开更多
The United States passed the Better Utilization of Investment Leading to Development(BUILD Act),as a counterweight to China’s overseas development activities.Under the Act,the US established a new federal agency,the ...The United States passed the Better Utilization of Investment Leading to Development(BUILD Act),as a counterweight to China’s overseas development activities.Under the Act,the US established a new federal agency,the U.S.International Development Finance Corporation(DFC),to enhance U.S.development financing capabilities.To better understand the impact of the DFC on China’s development finance,this article analyzes the DFC’s purpose,functions,structure,and funding.Then it focuses on the purpose of establishing the DFC,providing a preliminary analysis of the potential motivation for its establishment.It also compares the China Development Bank(CDB)and the DFC based on their focused sectors.Finally,through an in-depth analysis of financial frictions in China-U.S.relations,this article argues that the DFC competes with China’s overseas development financing activities in the context of broader strategic competition between China and the U.S.展开更多
Equity structure constitutes a crucial component of corporate internal governance.A scientifically and reasonably structured equity system aids in enhancing the level and efficiency of corporate governance.Through emp...Equity structure constitutes a crucial component of corporate internal governance.A scientifically and reasonably structured equity system aids in enhancing the level and efficiency of corporate governance.Through empirical analysis of data spanning from 2013 to 2022,the study aims to verify the influence mechanism of equity structure on corporate performance.The results indicate that enhancing equity concentration and balance positively impacts corporate performance,with this effect persisting over time.Consequently,optimizing the degree of equity concentration,shareholder types,and the board of directors’structure can assist enterprises in maximizing long-term value.展开更多
Enterprises must develop and implement effective strategic measures to achieve sustainable development.This entails evaluating corporate performance,understanding the impact of sustainable development strategies on co...Enterprises must develop and implement effective strategic measures to achieve sustainable development.This entails evaluating corporate performance,understanding the impact of sustainable development strategies on corporate performance,and implementing such strategies.The article proposes eight critical countermeasures to foster harmony and sustainable development among humanity,nature,the economy,and society:innovation-driven initiatives,green development practices,social responsibility initiatives,talent cultivation programs,collaborative cooperation efforts,sound financial management,brand-building endeavors,and effective information management.展开更多
Artificial Intelligence (AI) is transforming organizational dynamics, and revolutionizing corporate leadership practices. This research paper delves into the question of how AI influences corporate leadership, examini...Artificial Intelligence (AI) is transforming organizational dynamics, and revolutionizing corporate leadership practices. This research paper delves into the question of how AI influences corporate leadership, examining both its advantages and disadvantages. Positive impacts of AI are evident in communication, feedback systems, tracking mechanisms, and decision-making processes within organizations. AI-powered communication tools, as exemplified by Slack, facilitate seamless collaboration, transcending geographical barriers. Feedback systems, like Adobe’s Performance Management System, employ AI algorithms to provide personalized development opportunities, enhancing employee growth. AI-based tracking systems optimize resource allocation, as exemplified by studies like “AI-Based Tracking Systems: Enhancing Efficiency and Accountability.” Additionally, AI-powered decision support, demonstrated during the COVID-19 pandemic, showcases the capability to navigate complex challenges and maintain resilience. However, AI adoption poses challenges in human resources, potentially leading to job displacement and necessitating upskilling efforts. Managing AI errors becomes crucial, as illustrated by instances like Amazon’s biased recruiting tool. Data privacy concerns also arise, emphasizing the need for robust security measures. The proposed solution suggests leveraging Local Machine Learning Models (LLMs) to address data privacy issues. Approaches such as federated learning, on-device learning, differential privacy, and homomorphic encryption offer promising strategies. By exploring the evolving dynamics of AI and leadership, this research advocates for responsible AI adoption and proposes LLMs as a potential solution, fostering a balanced integration of AI benefits while mitigating associated risks in corporate settings.展开更多
Corporate identity construction of external publicity image is an important part of the development of enterprises.Based on Wodak’s discourse-historical approach,this study takes the text of COFCO’s English promotio...Corporate identity construction of external publicity image is an important part of the development of enterprises.Based on Wodak’s discourse-historical approach,this study takes the text of COFCO’s English promotional video as the research object,analyzes the corporate brand image,media image,organizational image,and environmental image constructed by the enterprises from three steps:linguistic expression,discourse strategy,and theme to provide references for Chinese enterprises to enhance their international influence.展开更多
It is imperative to aggressively advocate for and transmit the ideas of corporate social responsibility as Chinese family enterprises transition into the phase of corporate inheritance.This study conducts a thorough e...It is imperative to aggressively advocate for and transmit the ideas of corporate social responsibility as Chinese family enterprises transition into the phase of corporate inheritance.This study conducts a thorough examination of existing literature to elucidate the concept and model of western corporate social responsibility.It also analyses the current state of Chinese corporate social responsibility and highlights the fulfilment of corporate social responsibility by private enterprises.Furthermore,it specifically investigates the significance of family enterprises in promoting and preserving the culture of corporate responsibility.Lastly,it delves into the correlation between corporate social responsibility and family enterprises.This study presents the process of transmission and inheritance of Chinese family firms,focusing on the influence of Chinese traditional culture,the original purpose of enterprise development,and enterprise image.展开更多
This study aims to investigate whether Corporate Social Responsibility(CSR)activities reduce supply chain disruptions by examining the impact of the Suez Canal obstruction on the Ever Given container ship in March 202...This study aims to investigate whether Corporate Social Responsibility(CSR)activities reduce supply chain disruptions by examining the impact of the Suez Canal obstruction on the Ever Given container ship in March 2021.This study conclude that the more responsible companies have higher returns and are less affected by this event than the less responsible companies;the less responsible companies have lower returns.The companies with better CSR have a lower impact on their supply chains when faced with disruptions in the supply chain.展开更多
文摘This investigation is focused on conducting a thorough analysis of Municipal Solid Waste Management (MSWM). MSWM encompasses a range of interdisciplinary measures that govern the various stages involved in managing unwanted or non-utilizable solid materials, commonly known as rubbish, trash, junk, refuse, and garbage. These stages include generation, storage, collection, recycling, transportation, handling, disposal, and monitoring. The waste materials mentioned in this context exhibit a wide range of items, such as organic waste from food and vegetables, paper, plastic, polyethylene, iron, tin cans, deceased animals, byproducts from demolition activities, manure, and various other discarded materials. This study aims to provide insights into the possibilities of enhancing solid waste management in the Farmgate area of Dhaka North City Corporation (DNCC). To accomplish this objective, the research examines the conventional waste management methods employed in this area. It conducts extensive field surveys, collecting valuable data through interviews with local residents and key individuals involved in waste management, such as waste collectors, dealers, intermediate dealers, recyclers, and shopkeepers. The results indicate that significant amounts of distinct waste categories are produced daily. These include food and vegetable waste, which amount to 52.1 tons/day;polythene and plastic, which total 4.5 tons/day;metal and tin-can waste, which amounts to 1.4 tons/day;and paper waste, which totals 5.9 tons/day. This study highlights the significance of promoting environmental consciousness to effectively shape the attitudes of urban residents toward waste disposal and management. It emphasizes the need for collaboration between authorities and researchers to improve the current waste management system.
文摘The International Healthcare Community recommends that countries do not exceed a 15% rate for cesarean section (CS). Our objective was to determine the prevalence and factors associated with CS at GPHC from July to September 2022. Methods: A cross-sectional study was carried out and data were collected from 1296 mothers, who met the inclusion criteria, through face-to-face interviews after obtaining prior informed consent. We performed descriptive analyses both for the outcome and independent variables. Bivariate and multiple logistic regression were used to identify factors associated with CS with a p-value Results: The prevalence of CS at GPHC was 28.9% (95%CI: 26.5-31.5). Factors associated factors with CS were mothers aged 20 to 34 years (AOR: 1.56, 95%CI: 1.02 - 2.39, P = 0.039);mothers who received more than three minimum wages (AOR: 1.95, 95%CI: 1.29 - 2.97, P = 0.002) and who attended prenatal care at both public and private health facilities (AOR: 2.49, 95% CI: 1.19 - 5.22, P = 0.022). Likewise, the highest Odds of CS were observed in mothers with gestational hypertension (AOR: 2.00, 95%CI: 1.35 - 2.96, P Conclusion: The prevalence of CS is higher than the ideal rate recommended by the International Healthcare Community. More studies are needed to understand the reasons for such high prevalence at GPHC.
文摘In recent times,technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners.Integrating the Internet of Things(IoT)into education can facilitate the teaching and learning process and expand the context in which students learn.Nevertheless,learning data is very sensitive and must be protected when transmitted over the network or stored in data centers.Moreover,the identity and the authenticity of interacting students,instructors,and staff need to be verified to mitigate the impact of attacks.However,most of the current security and authentication schemes are centralized,relying on trusted third-party cloud servers,to facilitate continuous secure communication.In addition,most of these schemes are resourceintensive;thus,security and efficiency issues arise when heterogeneous and resource-limited IoT devices are being used.In this paper,we propose a blockchain-based architecture that accurately identifies and authenticates learners and their IoT devices in a decentralized manner and prevents the unauthorized modification of stored learning records in a distributed university network.It allows students and instructors to easily migrate to and join multiple universities within the network using their identity without the need for user re-authentication.The proposed architecture was tested using a simulation tool,and measured to evaluate its performance.The simulation results demonstrate the ability of the proposed architecture to significantly increase the throughput of learning transactions(40%),reduce the communication overhead and response time(26%),improve authentication efficiency(27%),and reduce the IoT power consumption(35%)compared to the centralized authentication mechanisms.In addition,the security analysis proves the effectiveness of the proposed architecture in resisting various attacks and ensuring the security requirements of learning data in the university network.
基金supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2023-2018-0-01426)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).In additionsupport of the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,This work has also been supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2022R239),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.Alsosupported by the Taif University Researchers Supporting Project Number(TURSP-2020/115),Taif University,Taif,Saudi Arabia.
文摘In the past two decades,there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification.Themajor research areas of this field include object detection and object recognition.Moreover,wireless communication technologies are presently adopted and they have impacted the way of education that has been changed.There are different phases of changes in the traditional system.Perception of three-dimensional(3D)from two-dimensional(2D)image is one of the demanding tasks.Because human can easily perceive but making 3D using software will take time manually.Firstly,the blackboard has been replaced by projectors and other digital screens so such that people can understand the concept better through visualization.Secondly,the computer labs in schools are now more common than ever.Thirdly,online classes have become a reality.However,transferring to online education or e-learning is not without challenges.Therefore,we propose a method for improving the efficiency of e-learning.Our proposed system consists of twoand-a-half dimensional(2.5D)features extraction using machine learning and image processing.Then,these features are utilized to generate 3D mesh using ellipsoidal deformation method.After that,3D bounding box estimation is applied.Our results show that there is a need to move to 3D virtual reality(VR)with haptic sensors in the field of e-learning for a better understanding of real-world objects.Thus,people will have more information as compared to the traditional or simple online education tools.We compare our result with the ShapeNet dataset to check the accuracy of our proposed method.Our proposed system achieved an accuracy of 90.77%on plane class,85.72%on chair class,and car class have 72.14%.Mean accuracy of our method is 70.89%.
基金supported by a Grant(2021R1F1A1063634)of the Basic Science Research Program through the National Research Foundation(NRF)funded by the Ministry of Education,Republic of Korea.
文摘Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.
基金a phased result of the Project“China’s Regulation on the Extraterritorial Human Rights Responsibilities of Transnational Corporations”undertaken by China Society for Human Rights Studies(Project No.CSHRS2020-25YB)。
文摘As China’s overseas investment and business operations continue to expand,the issue of human rights risks faced by Chinese transnational corporations abroad has attracted sustained attention from society.In recent years,China has enacted a series of laws,regulations,and policies to better regulate the overseas business conduct of transnational corporations,urging them to respect the human rights of the people in host countries and fulfill their social responsibilities to achieve sustainable development.Meanwhile,China has actively participated in the formulation of the Legally Binding Instrument on Activities of Transnational Corporations and Other Business Enterprises in International Human Rights Law,providing a Chinese solution to promote global governance of transnational corporations.However,in practice,the lack of institutional mechanisms,systems,and industry rules to supervise and guide transnational enterprises in fulfilling their human rights responsibilities,as well as the limited awareness of human rights risks among these enterprises,have resulted in ongoing human rights risks in their overseas business operations,particularly regarding labor rights and environmental rights.In response,China should take its national conditions into consideration and focus on the development trends of human rights issues in the business sector at the international level.Drawing on the experiences of other countries,China should explore and establish institutional and practical measures to regulate the human rights responsibilities of transnational enterprises through legislation,administration,and judiciary actions,in order to address the risks and challenges faced by Chinese enterprises in foreign investments and contribute to the sustainable development of the world and global human rights governance.
文摘We analyze the risks associated with teenagers’ online activities and the potential migration of cyber threats originating from teenagers to their parents’ work-from-home (WFH) devices, even when defensive measures such as VPN are employed. Furthermore, we examine the serious implications these risks have on corporate security. Of particular concern, parents who work with confidential corporate information, such as financial projections or product roadmaps, might find that their kids are targeted by hackers who seek an easier entry-point to home networks and eventually WFH devices. This paper is timely since there is a rising trend of hybrid work in white-collar professions, mixing traditional in-office work with WFH. The latter is increasingly done in split shifts, including work performed before breakfast or after dinner. While this shift offers numerous workforce advantages and helps teen-parent bonding, it also introduces a plethora of cybersecurity risks, especially when these devices and networks are shared with teenagers on home networks. We did a structured survey of 62 teens which confirms that risky online activity abounds, so the threat of risk migration onto corporate networks should not be ignored. We perform a migration risk assessment and identify which teen-origin risks are most likely to contaminate parents’ WFH devices. We evaluate 20 attack vectors and generate 60 risk ratings. We classify 29 as high risk, 8 as medium risk, 13 as low risk, and 10 as not relevant. We offer recommendations to mitigate this new set of cyber risks.
文摘The United States passed the Better Utilization of Investment Leading to Development(BUILD Act),as a counterweight to China’s overseas development activities.Under the Act,the US established a new federal agency,the U.S.International Development Finance Corporation(DFC),to enhance U.S.development financing capabilities.To better understand the impact of the DFC on China’s development finance,this article analyzes the DFC’s purpose,functions,structure,and funding.Then it focuses on the purpose of establishing the DFC,providing a preliminary analysis of the potential motivation for its establishment.It also compares the China Development Bank(CDB)and the DFC based on their focused sectors.Finally,through an in-depth analysis of financial frictions in China-U.S.relations,this article argues that the DFC competes with China’s overseas development financing activities in the context of broader strategic competition between China and the U.S.
文摘Equity structure constitutes a crucial component of corporate internal governance.A scientifically and reasonably structured equity system aids in enhancing the level and efficiency of corporate governance.Through empirical analysis of data spanning from 2013 to 2022,the study aims to verify the influence mechanism of equity structure on corporate performance.The results indicate that enhancing equity concentration and balance positively impacts corporate performance,with this effect persisting over time.Consequently,optimizing the degree of equity concentration,shareholder types,and the board of directors’structure can assist enterprises in maximizing long-term value.
文摘Enterprises must develop and implement effective strategic measures to achieve sustainable development.This entails evaluating corporate performance,understanding the impact of sustainable development strategies on corporate performance,and implementing such strategies.The article proposes eight critical countermeasures to foster harmony and sustainable development among humanity,nature,the economy,and society:innovation-driven initiatives,green development practices,social responsibility initiatives,talent cultivation programs,collaborative cooperation efforts,sound financial management,brand-building endeavors,and effective information management.
文摘Artificial Intelligence (AI) is transforming organizational dynamics, and revolutionizing corporate leadership practices. This research paper delves into the question of how AI influences corporate leadership, examining both its advantages and disadvantages. Positive impacts of AI are evident in communication, feedback systems, tracking mechanisms, and decision-making processes within organizations. AI-powered communication tools, as exemplified by Slack, facilitate seamless collaboration, transcending geographical barriers. Feedback systems, like Adobe’s Performance Management System, employ AI algorithms to provide personalized development opportunities, enhancing employee growth. AI-based tracking systems optimize resource allocation, as exemplified by studies like “AI-Based Tracking Systems: Enhancing Efficiency and Accountability.” Additionally, AI-powered decision support, demonstrated during the COVID-19 pandemic, showcases the capability to navigate complex challenges and maintain resilience. However, AI adoption poses challenges in human resources, potentially leading to job displacement and necessitating upskilling efforts. Managing AI errors becomes crucial, as illustrated by instances like Amazon’s biased recruiting tool. Data privacy concerns also arise, emphasizing the need for robust security measures. The proposed solution suggests leveraging Local Machine Learning Models (LLMs) to address data privacy issues. Approaches such as federated learning, on-device learning, differential privacy, and homomorphic encryption offer promising strategies. By exploring the evolving dynamics of AI and leadership, this research advocates for responsible AI adoption and proposes LLMs as a potential solution, fostering a balanced integration of AI benefits while mitigating associated risks in corporate settings.
文摘Corporate identity construction of external publicity image is an important part of the development of enterprises.Based on Wodak’s discourse-historical approach,this study takes the text of COFCO’s English promotional video as the research object,analyzes the corporate brand image,media image,organizational image,and environmental image constructed by the enterprises from three steps:linguistic expression,discourse strategy,and theme to provide references for Chinese enterprises to enhance their international influence.
文摘It is imperative to aggressively advocate for and transmit the ideas of corporate social responsibility as Chinese family enterprises transition into the phase of corporate inheritance.This study conducts a thorough examination of existing literature to elucidate the concept and model of western corporate social responsibility.It also analyses the current state of Chinese corporate social responsibility and highlights the fulfilment of corporate social responsibility by private enterprises.Furthermore,it specifically investigates the significance of family enterprises in promoting and preserving the culture of corporate responsibility.Lastly,it delves into the correlation between corporate social responsibility and family enterprises.This study presents the process of transmission and inheritance of Chinese family firms,focusing on the influence of Chinese traditional culture,the original purpose of enterprise development,and enterprise image.
文摘This study aims to investigate whether Corporate Social Responsibility(CSR)activities reduce supply chain disruptions by examining the impact of the Suez Canal obstruction on the Ever Given container ship in March 2021.This study conclude that the more responsible companies have higher returns and are less affected by this event than the less responsible companies;the less responsible companies have lower returns.The companies with better CSR have a lower impact on their supply chains when faced with disruptions in the supply chain.