• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.151-158
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• 2022

The study aims to investigate Lebanese-Chinese relations within the framework of the Belt and Road Initiative. Lebanon formally joined the effort in 2017; this paper emphasizes Lebanon's geostrategic importance. The paper presents an assessment of the investment risks in Lebanon, which is considered an economically unstable country with a volatile security situation, with many internal and external political hurdles. The paper refers to the obstacles and challenges that the Chinese investor may face in Lebanese society. The study employs qualitative descriptive analysis to address the status of Chinese investment in Lebanon and the consequences of this partnership; the paper examines previous research related to the Belt and Road Initiative and the Lebanese political, security, and economic situation literature. Due to the deteriorating security situation, external intervention, and the economic crisis, the results reveal that Lebanon is not a top investment priority for China, which is a big impediment to China entering into economic cooperation with Lebanon. The findings of this study suggest that the Lebanese government should adopt an anti-corruption policy to build confidence for the Chinese investor, reduce unnecessary public spending, and hold a national dialogue to build confidence among the Lebanese parties.

• Journal of Information Technology Applications and Management
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• v.29 no.3
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• pp.57-74
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• 2022

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.908-918
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• 2023

The Saudi National Atomic Energy project aims to adopt peaceful nuclear technologies and be part of the country's energy mix. As emerging nuclear energy, it is essential to understand public concerns and acceptability of nuclear energy, as well as the factors influencing acceptance to develop nuclear energy policy and implement nuclear energy programs. The purpose of this study is to analyze the public attitudes and acceptance of nuclear energy among Saudi Arabian citizens by utilizing protection motivation theory and theory of planned behavior. A total of 1,404 participants answered a questionnaire which was distribute by convenience sampling approach. A Structural Equation Modeling framework was constructed and analyzed to understand public behavior toward building the country's first Nuclear Power Plant (NPP). Before analyzing the data, the model was validated. The research concluded that the benefits of nuclear power plants were essential in determining people's acceptance of NPPs. Surprisingly, the effect of the perceived benefits was found higher than the effect of the perceived risks to the acceptance. Furthermore, the public's participation in this study revealed that the NPPs location has a significant impact on their acceptance. Based on the finding, several policy implementations were suggested. Finally, the study's model results would benefit scholars, government agencies, and the business sector in Saudi Arabia and worldwide.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.257-263
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• 2022

The objective of this study was to see how artificial intelligence applications affected organizational innovation in Jordanian commercial banks. Both independent and dependent variables were measured in three dimensions: expert systems, neural network systems, and fuzzy logic systems for artificial intelligence applications variable. Product innovation, process innovation, and management innovation for the organizational innovation variable. To achieve study objectives, a questionnaire was developed and distributed to a sample of one hundred fifty-three managers in Jordanian commercial banks, who were selected according to the simple random sampling method. Except for the neural network systems dimension, which comes in at an average level, the study indicated that there is a high level of organizational innovation and artificial intelligence applications. Furthermore, the findings revealed that artificial intelligence applications have a significant impact on organizational innovation in Jordanian commercial banks, with the most important artificial intelligence application being a fuzzy logic system. The study suggested keeping track of technological advancements in the field of artificial intelligence applications and incorporating them into banking operations by benchmarking with the best commercial bank practices and allocating a portion of the budget to technological applications and infrastructure development, as well as balancing between technology use and information security risks to ensure client privacy is protected.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.686-693
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• 2022

Construction is a collaborative endeavor. The complexity in delivering construction projects successfully is impacted by the effective collaboration needs of a multitude of stakeholders throughout the project life-cycle. Technologies such as Building Information Modelling and relational project delivery approaches such as Alliancing and Integrated Project Delivery have developed to address this conundrum. However, with the onset of the pandemic, the digital economy has surged world-wide and advances in technology such as in the areas of machine learning (ML) and Artificial Intelligence (AI) have grown deep roots across specializations and domains to the point of matching its capabilities to the human mind. Several recent studies have both explored the role of AI in the construction process and highlighted its benefits. In contrast, literature in the organization studies field has highlighted the fear that tasks currently done by humans will be done by AI in future. Motivated by these insights and with the understanding that construction is a labour intensive sector where knowledge is both fragmented and predominantly tacit in nature, this paper explores the integration of AI in construction processes across project phases from planning, scheduling, execution and maintenance operations using literary evidence and experiential insights. The findings show that AI can complement human skills rather than provide a substitute for them. This preliminary study is expected to be a stepping stone for further research and implementation in practice.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.94-102
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• 2013

The architecture, engineering and construction (AEC) industry is beginning to utilize Building Information Modeling (BIM), benefiting from the resulting improved visualization and productivity, better coordination of construction drawings, building documents that contain embedded links to virtual information, faster delivery, and lower costs. However, construction firms often face challenges when reorganizing their company structure to take full advantage of these benefits. This paper proposes an organizational structure that will enable engineering-construction firms to successfully adopt and implement BIM for major construction projects. A case study research method is utilized based on in-depth interviews with four BIM directors and vice presidents charged with BIM adoption, implementation and education. Organizational transformation challenges and recommendations are discussed in detail for those considering implementing BIM in the engineering-construction industry. Topics such as organizational changes in the firm, costs and benefits of BIM implementation, strategies of BIM implementation (execution) plan, BIM education, risks and opportunities associated with BIM, BIM software, contract methods, human resource management and new hires, and the future implementation and direction of BIM are discussed in detail.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.187-199
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• 2023

Purpose - The purpose of this study is to formulate a plan to cope with tourists' rights which can occur in tourist attraction place and anywhere for tourist activities and to seek a plan for introducing a watchdog system for tourists' civil complaints. Design/methodology/approach - To perform this purpose, this article will discuss a research review of the scope of tourist activities in terms of space and place perspectives and compare them to the watchdog and ombudsman concepts. And the study analyses and look at the suggestion about Tourism complains center and the Tourism policy system of procedure function and role critically. Findings - The Watchdog system is a routine activity in which citizen monitoring activities are developed in the form of a system and share inconvenience and anxiety detected in time and space in the expanding range of entertainment, leisure, and sports tourism activities. The resulting accident rate can be reduced, the administrative and private businesses can be resolved, and the cost of handling can be solved. Research implications or Originality - The social contribution of Watchdog can be systematically expanded and resolved at various sites by securing public trust in the country threats in daily places preventing risks securing continuous safety management of related facilities and other industries

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.92-116
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• 2023

Emerging Industries often do not match the structures and contents of existing regulations, and regulations that impose excessive burdens compared to the regulatory purpose are continuously created. These results, the emerging industries struggle to growth. In order to respond to these regulatory problems, the regulatory management policies are establishing in each country, and research on the reasonable regulatory methods and its effects on industry has continued. But companies still complain of difficulties in business due to regulations. In the background, it is analyzed that there are limitations in response to regulatory issues of the emerging industry, such as the lack of standards and expertise that can be judged as 'problems', and delay in recognizing and improving the problems of the competent ministries, over-interpretation of the risks of new technologies, and vague concerns about accidents etc., the regulation corresponding limitations is existed. In this regard, this study seeks to lay the groundwork for analysis of the major regulatory conflict issues and the reasonable countermeasures by identifying the regulatory conflict issues arising from the emergence of the innovative technologies and services, and analyzing studies to resolve them.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.269-279
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• 2024

The study explores the evolving landscape of overseas expansion strategies by Korean corporations, focusing on recent geopolitical tensions, the COVID-19 pandemic, and disruptions in global supply chains. It emphasizes the challenges faced by industries producing high-value products and delves into the concept of "Friend-Shoring" policies in the United States, leading major Korean companies to invest in local semiconductor, battery, and automotive factories. Recognizing the potential fragmentation of Korea's manufacturing sector, the paper introduces the "Mother Factory" strategy as a policy initiative, inspired by Japan's model, to establish core production facilities domestically. The discussion unfolds by examining the cases of major companies in Japan and the United States, highlighting the need for Korea to adopt a mother factory strategy to mitigate risks associated with friend-shoring policies. Inspired by Intel's "Copy Exactly" approach, the paper proposes a Korean mother factory model integrating smart factory technology and digital twin systems. This strategic shift aims to enhance responsiveness to geopolitical challenges and fortify the competitiveness of Korean high-tech industries. Finally, the paper proposes a Korean Mother Factory based on smart factory concepts. The suggested model integrates smart factory technology and digital twin frameworks to enhance responsiveness and fortify competitiveness. In conclusion, the paper advocates for the adoption of a comprehensive Korean Mother Factory model to address contemporary challenges, foster advanced manufacturing, and ensure the sustainability and competitiveness of Korean high-tech industries in the global landscape. The proposed strategy aligns with the evolving dynamics of the manufacturing sector and emphasizes technological advancements, collaboration, and strategic realignment.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.181-189
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• 2024

The purpose of this study is to investigate the role of interaction privacy management behavior (Use of IPCs), which has received relatively little attention. To this end, this study proposes an integrated model that theorizes the relationship between the main variables of the privacy calculation model and interaction privacy management behavior. Empirical analysis of this model shows that the use of IPCs lowers risks, increases benefits, and in turn promotes increased self-disclosure. These results have implications for expanding the theoretical logic of the privacy calculation model because users' self-disclosure includes not only the limited exposure proposed in the model but also unrestricted exposure through the use of IPC.