• International conference on construction engineering and project management
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• 2015.10a
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• pp.454-458
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• 2015

A number of practices for sharing knowledge has been recommended in the literature. These practices, however, are considered to be applicable, universally. This assumption is challenged by this paper which empirically explores the relationship between national culture and knowledge sharing practices in the context of procuring educational buildings in Saudi Arabia. The paper reports on a research study with the aim to identify whether national culture dimensions could be significant variables that impact upon staff preferences in relation to project knowledge sharing practices. The paper critically reviews the literature to identify appropriate measures for knowledge sharing practices. It explores the means by which public sectors professional exchange project knowledge; evaluates policies and level of technical support needed to facilitate knowledge sharing, then proceeds to how employees perceive the benefits they will gain by practicing project knowledge sharing, and their role in this process. The paper tests the relationships among the research constructs based on data collected from 115 project managers responsible for the procurement of educational buildings in Saudi Arabia. The paper provides empirical evidence that the national culture has a significant influence on staff preferences. In light of the research findings the paper concludes with practical recommendations for project knowledge sharing practices that are in line with staff preferences and their cultural orientation. The recommendations should facilitate a more effective application of knowledge sharing practices.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.592-595
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• 2013

Advent of Wireless Sensor Networks (WSN) has provided potentials to a variety of construction applications. It is well appreciated that WSNs have advantages over traditional wired system, such as ease of installation and maintenance with increased cost savings and efficiencies. However, the obstruction of wireless signal from physical objects in the heterogeneous construction environment often brings challenges to WSN measurement system. This paper analyzed the obstruction characteristic of construction environment where construction materials, equipment, and built structures obstruct the wireless signal yielding negative effect of measurement system. By adopting evaluation criteria, such as packet reception rate, field experiments have been implemented to quantitatively identify the interference of wireless signal from penetration, reflection, and network traffic under the construction environment. The results show that reliable performance of wireless sensor in construction environment depends on the optimal separation distance between a receiver and a transmitter, obstruction types, obstruction thickness, and transmission interval. In addition, the methodology and experimental results of this paper could be used in the practical design of network topology when hundreds of sensor nodes form a mesh network in the large scale construction applications.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.602-607
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• 2013

Financial risks associated with capital investments are often measured with different feasibility indicators such as the net present value (NPV), the internal rate of return (IRR), the payback period (PBP), and the benefit-cost ratio (BCR). This paper aims at demonstrating practical applications of probabilistic feasibility analysis techniques for an integrated feasibility evaluation of the IRR and PBP. The IRR and PBP are concurrently analyzed in order to measure the profitability and liquidity, respectively, of a cash flow. The cash flow data of a real wind turbine project is used in the study. The presented approach consists of two phases. First, two newly reported analysis techniques are used to carry out a series of what-if analyses for the IRR and PBP. Second, the relationship between the IRR and PBP is identified using Monte Carlo simulation. The results demonstrate that the integrated feasibility evaluation of stochastic cash flows becomes a more viable option with the aide of newly developed probabilistic analysis techniques. It is also shown that the relationship between the IRR and PBP for the wind turbine project can be used as a predictive model for the actual IRR at the end of the service life based on the actual PBP of the project early in the service life.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.28-35
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• 2013

The construction industry has introduced the Leadership in Energy and Environmental Design (LEED) rating system to promote objective evaluations of the sustainability of buildings. Three important values to consider when implementing sustainability are the associated environmental, social, and economic impacts. Recently, researchers have begun to investigate the real estate value of LEED certified buildings in terms of the rental cost, occupancy rate, cost per unit area, and resale value in order to better understand the economic benefits of the LEED rating system. However, the economic benefits also encompass economic effects such as the impact of LEED certified buildings on neighborhood real estate values surrounding the certified buildings. This research examines whether the enhanced real estate value of LEED certified buildings in New York City extends to surrounding commercial buildings, utilizing spatial analysis via a Geographic Information System (GIS) and the hedonic pricing method to derive meaningful economic relationships. The results provide practical insights into the economic effect of LEED certified buildings that will be of interest to city officials and planners, as well as the owners, developers, investors and other stakeholders of surrounding buildings.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.367-368
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• 2023

Kiscon, Seumteo, KONEPS and CSI are representative construction-related DBs. All four DBs are operated by the public. However, the characteristics of data are different depending on the purpose. Therefore, it is difficult to utilize integrated data and it is only used sparingly. Creating and sharing a unique key that can identify a construction site will enable integrated accumulation and management of construction-related data for various purposes. At this point, it is most efficient to assign a unique key based on KISCON. KISCOn data conforms to the construction site definition and covers most of the public, private, architectural and civil works. In addition, there is an advantage in that DB construction is performed in the construction situation, which is a relatively preceding process. In the future, it is necessary to create a practical construction site integrated DB through the production of an integrated key table containing linkage information of unique keys for site management, performance indicators, and statistics production.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.1-15
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• 2024

Purpose: This study aims to explore the critical factors in the quality control activities of agricultural products in e-commerce companies and analyze how these factors affect customers' perceived value and repurchase intention. Finally, it further reveals the mediating role of perceived value between the factors of quality control activities of agricultural products and customer repurchase intention. Research design, data and methodology: This study identified six independent factors within agricultural product quality control activities: freshness, assurance, diversity, grading, packaging, and timeliness. Subsequently, the impact of these factors on customer repurchase intention was analyzed. Additionally, perceived value was considered as an intermediary variable between the independent and dependent variables. Data was gathered from 269 Chinese consumers who had experience purchasing on agricultural product e-commerce websites. Results: The study results indicate that the relevant factors within agricultural product quality control activities strongly influence customer repurchase intention, with perceived value mediating this relationship. Conclusions: The significance of this study lies in its exploration of the relevant factors within agricultural product e-commerce's product quality control activities. It identifies their impact on customer repurchase intention and confirms the mediating role of perceived value. The results of this research offer valuable insights and practical guidance for academics in related research fields and practitioners in the agricultural product e-commerce industry.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.53-64
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• 2024

Purpose: The purpose of this study is to develop a satisfaction evaluation survey tool that reflects the characteristics of the program for housing welfare supported in long-term public rental housing in Seoul. Research design, data and methodology: The main research methods of the study were review of previous studies, literature review, and expert consultation. Results: First, the characteristics of each housing welfare program being promoted by Seoul City were summarized, and the characteristics were reflected in the evaluation survey tool. Second, the SERVOUAL model, a service quality model, was used to measure satisfaction with the housing welfare program and modified to suit the characteristics of the program. Third, an evaluation survey tool was constructed by dividing the evaluation tool into common questions and individual questions, and for the operation and sustainability of the housing welfare program, rather than just evaluating satisfaction, program loyalty was used as a survey item. Fourth, through expert advice, more than 10 evaluation questions for each housing welfare program were revised. Conclusions: The results of future research are expected to be used to prepare practical operation plans through annual monitoring of housing welfare programs and comparative analysis between programs.

• Korea Trade Review
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• v.47 no.3
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• pp.93-110
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• 2022

This study aims to develop online convention service quality and examine the effect of online convention service quality on re-participation intention in the same convention and other types of online conventions. Based on an extensive literature review, the study chose five main factors of online convention service quality: human service, program service, platform service, platform aesthetics, and interaction. A total of 284 data were collected from online convention participants from July 26 to August 6, 2021. For the hypotheses test, multiple regression analysis was used. As a result, interaction and program service quality had positive effects on re-participation intention in the same convention, but except for platform aesthetic, all factors positively affected re-participation intention in other types of online conventions. This study also found that online service quality factors are more helpful in predicting the intention of re-participation in other types of online conventions rather than re-participation in the same convention. Based on the results, theoretical and practical implications were discussed

• The Journal of Economics, Marketing and Management
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• v.11 no.6
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• pp.1-8
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• 2023

Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

• The Journal of Industrial Distribution & Business
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• v.14 no.11
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• pp.27-35
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• 2023

Purpose: China's economy has changed considerably in recent decades. By delivering a comprehensive knowledge of the elements that support successful foreign direct investment (FDI) in China and practical insights for multinational firms operating in this dynamic environment, this research offers a new perspective and sets itself apart from previous studies. Research design, data and methodology: It is necessary to give a thorough overview of the body of information on successful FDI in China, which justifies the adoption of a systematic literature review. The study may use a wide range of studies because of this methodology, which guarantees that inferences have a solid and supported basis in data. Results: The findings in the present study have clarified how China's government policies and regulatory framework affect foreign direct investment (FDI). Previous studies have indicated that regulatory changes can significantly impact FDI. For instance, more foreign direct investment (FDI) has been drawn to liberalized industries such as technology and finance. Conclusions: In conclusion, for foreign direct investment (FDI) to be successful in China, it is essential to consider these four factors: local partnerships and cultural adaptation, market research and entry strategy, regulatory environment and policy support, and risk management and contingency planning.