• Title/Summary/Keyword: Practical Management

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Family Restaurant Customers' Quality Evaluation and Satisfaction Depending on the Physical Environmental Variables (패밀리 레스토랑의 물리적 환경변수에 따른 외식 소비자의 품질평가와 만족)

  • Byun, Gwang-In;Cho, Woo-Je
    • Journal of the Korean Society of Food Culture
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    • v.21 no.1
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    • pp.51-56
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    • 2006
  • This research suggests critical and specific decisive variables that affect general service quality of the products in family restaurants, considering features of services in which consumption and production happens simultaneous by collecting the raw data through point of sales. It also analyses the factors and helps to offer them practical strategies by providing managers of the restaurants and marketers with empirical viewpoints based on the research. Generally, family restaurants need their own physical environment and are required to encourage customers to revisit themselves by maintaining pleasant environment as well as, considering space for customers and for employees' working routes and effective maintenance of the facilities. The result of the study also tells that even if the unimportant factors did not affect much on the restaurants, management over these factors can be a differentiated strategy for competitive advantage over the other businesses.

What are the Risks of using Smart Technology in the Construction Phase?

  • Lee, Baul;Park, Seung-Kook
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.103-110
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    • 2022
  • In the era of the 4th Industrial Revolution, smart technology being considered to improve productivity breakthroughs is in the spotlight as a means to replace traditional construction technology in the construction industry. However, various problems are occurring in construction sites using smart technology and causing negative impacts on construction projects. Therefore, the objective of this study is to identify risk factors that occur when smart technologies are used in construction projects. To achieve this purpose, this study investigated the difficulties at construction projects using smart technology, and risk factors were derived based on site surveys and literature. The risk factors were measured by experts, and then a total of 19 risk factors was derived by exploratory factor analysis. As a result, risks were classified as 5 factors, the institutional factor is the most difficult response, and the government needs anticipative system improvement and a long-term plan. The research findings provide practical implications for construction experts trying to apply smart technology in construction sites and construction policy-makers to revitalize smart technology.

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Development of the Selection of Optimal Conceptual Design for the Noise-reduced Aluminum System Form

  • Hong, Jong Hyun;Yeom, Dong Jun;Seo, Jung Hoon;Kim, Young Suk
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.708-709
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    • 2015
  • In Korea, a series of noise-reduced aluminum forms are being recently used in apartment housing construction. However, their complicated and time-consuming work processes, and the noise which is still generated due to the inherent property of aluminum when especially installing and dismantling them are have been pointed out as a problem to be certainly solved for increasing their practical use in construction sites. The primary objectives of this study are to propose a conceptual design of a newly designed noise-reduced aluminum form in which the noise can be enormously decreased during form works. The conceptual design in this study improved problems of conventional system aluminum forms, and, later, a system aluminum form developed based on this conceptual design will be able to ensure noise-reduction and safety as well as excellent applicability.

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Assessing Awareness, Understanding, Construction Practices and Innovation towards Green Construction

  • Zaini, Afzan Ahmad;Endut, Intan Rohani
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.518-522
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    • 2015
  • Green Construction is the construction activities that conserved energy, land, water and material to reduce the negative effect to the environment while assuring essential demand on quality and safety during project construction. This paper critically examine the contribution of awareness and understanding, green construction practices and green construction innovation with the green construction benefits. A measurement model based on the theoretical framework and exploratory factor analysis was developed and tested using structural equation modelling technique. This study employs a survey research methodology involving a total of 346 respondents among construction contractors, developers, clients and consultants in the construction industry. The findings indicate that the awareness and understanding, green construction practices and green construction innovation are significant predictors of the green construction benefits. From the practical perspective, the findings should alert the construction participants on the need of awareness and understanding, green construction practices and green construction innovation towards the green construction benefits. In addition, the findings can be used as diagnostic tool for continuous improvements in the Malaysian construction industry.

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Development of Review Processes and Tools for Liquidated Damages for EPC/Turnkey Project: Contractor's Perspective

  • Hahn, Ki Jeong;Lee, Eul-Bum;Kim, Young Ho
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.718-719
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    • 2015
  • As a recent global trend, the majority of plant projects are delivered through EPC or EPC-turnkey contracts, where a contractor's liability is more complicated because of the mega size scale and financing method. Previous researches have been lacking a practical usability for project members for liabilities of contracts. Those were focused on solving the claims or schedule calculation issues only. The objective of the present study was to develop a validation process for LDs (liquidated damages) in contractor's liabilities with various case studies and expert judgments. As summarized in this paper, the processes and tools were developed with project life cycle process. The project preparation phase includes 3 step check lists to determine the Go or No-go for projects. In progress phase, contractors should focus on the response strategies for claims with liabilities. The study concludes that those developed processes and tools will help to manage risk of LDs for the contractors in the overseas projects.

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A STUDY ON THE CONSTRUCTION OF BIM DATA INTEROPERABILITY FOR ENERGY PERFORMANCE ASSESSMENT BASED ON BIM

  • Jungsik Choi;Hyunjae Yoo;Inhan Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.267-273
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    • 2013
  • Early design phase energy modeling is used to provide the design team with first order of magnitude feedback about the impact of various building configurations. For better energy-conscious and sustainable building design and operation, the construction of BIM data interoperability for energy performance assessment in the early design phase is important. The purpose of this study is to suggest construction of BIM data interoperability for energy performance assessment based on BIM. To archive this purpose, the authors have investigated advantage of BIM-based energy performance assessment through comparison with traditional energy performance assessment and suggested requirement for construction of open BIM environment such as BIM data creation, BIM data software practical use, BIM data application and verification. In addition, the authors have suggested BIM data interoperability and BIM energy property mapping method focused on materials.

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Big Data Analytics of Construction Safety Incidents Using Text Mining (텍스트 마이닝을 활용한 건설안전사고 빅데이터 분석)

  • Jeong Uk Seo;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.3
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    • pp.581-590
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    • 2024
  • This study aims to extract key topics through text mining of incident records (incident history, post-incident measures, preventive measures) from construction safety accident case data available on the public data portal. It also seeks to provide fundamental insights contributing to the establishment of manuals for disaster prevention by identifying correlations between these topics. After pre-processing the input data, we used the LDA-based topic modeling technique to derive the main topics. Consequently, we obtained five topics related to incident history, and four topics each related to post-incident measures and preventive measures. Although no dominant patterns emerged from the topic pattern analysis, the study holds significance as it provides quantitative information on the follow-up actions related to the incident history, thereby suggesting practical implications for the establishment of a preventive decision-making system through the linkage between accident history and subsequent measures for reccurrence prevention.

Effects of Organizational Use of KakaoTalk, a Mobile Instant Messaging (MIM) Service, on Employees' Attitudes toward Current Organization in Korea

  • Jaehee Cho
    • Asia pacific journal of information systems
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    • v.30 no.1
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    • pp.120-142
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    • 2020
  • Present-day organizations have become largely dependent on mobile instant messaging services (MIMs) for various organizational purposes. Focusing on the increasing use of MIMs in today's organizations, this study aims to explain how different aspects of KakaoTalk, the most dominant MIM in Korea, influence employees' attitudes toward their current employers, and how these attitudes impact the employees' intentions to stay at their present workplaces. Overall, with the exception of one factor (satisfaction with KakaoTalk use), all other factors (perceived quality of information exchanged through KakaoTalk, belongingness through KakaoTalk, and KakaoTalk overload) significantly influenced employee's attractiveness toward their current employers. Specifically, while KakaoTalk overload's effect on perceived organizational attractiveness was negative, two other factors were positively associated with it. Perceived organizational attractiveness also strongly influenced employees' intention to stay at their present workplaces. These findings contribute to expanding practical and theoretical understandings regarding the critical roles of MIMs in the efficient management of organizations in this hyperconnected society.

The Impact of Live Commerce Features and Situational Factors on Participation Intention in Tourism Live Commerce

  • Sheng, Congyi;Yang, Sung-Byung;Kim, Sung-Eun
    • The Journal of Information Systems
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    • v.33 no.2
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    • pp.237-264
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    • 2024
  • Purpose This study explores the impact of tourism live commerce on consumer participation intention. Utilizing Stimulus-Organism-Response (S-O-R) framework and situation theory, the study is to identify the features and situational factors of tourism live commerce and to investigate their impact on flow experience, perceived value, and participation intention. Design/methodology/approach A theoretical model is developed and validated through a survey, adopting PLS-SEM approach. A self-administered questionnaire was developed and distributed via Wenjuanxing, the largest online survey platform in China, in October 2022, resulting in 361 valid responses. Findings The results reveal significant effects of features and situational factors of tourism live commerce on consumer behavior, enhancing the understanding of tourism live commerce and extending the S-O-R framework in this context. The study offers both theoretical contributions and practical implications, providing valuable insights for managers to improve consumer engagement in tourism live commerce.

Transforming Patient Health Management: Insights from Explainable AI and Network Science Integration

  • Mi-Hwa Song
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.307-313
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    • 2024
  • This study explores the integration of Explainable Artificial Intelligence (XAI) and network science in healthcare, focusing on enhancing healthcare data interpretation and improving diagnostic and treatment methods. Key methodologies like Graph Neural Networks, Community Detection, Overlapping Network Models, and Time-Series Network Analysis are examined in depth for their potential in patient health management. The research highlights the transformative role of XAI in making complex AI models transparent and interpretable, essential for accurate, data-driven decision-making in healthcare. Case studies demonstrate the practical application of these methodologies in predicting diseases, understanding drug interactions, and tracking patient health over time. The study concludes with the immense promise of these advancements in healthcare, despite existing challenges, and underscores the need for ongoing research to fully realize the potential of AI in this field.