• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.29-36
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• 2022

The objective of this research is to find out the effect of innovative culture and quality of work life on competitive advantage strategy with the mediation of individual performance. This research is the continuance of previous research conducted by Adya Hermawati with an originality aspect emphasizing a concept comprising innovative culture, quality of work life, and individual performance as factors that control competitive advantage strategy. The research subject is Tourism Industry SMEs. Explanatory research is a research method used in this study, by surveying respondents. The data sources in this research are primary and secondary. Primary data is collected from respondents directly through a questionnaire whereas secondary data are obtained from references that are relevant to research problems. In conformity with this explanation, the type of research data is quantitative data. The results of this research show that: innovative culture has an effect on individual performance, quality of work life affects individual performance, innovative culture has an effect on competitive advantage, quality of work life affects competitive advantage, individual performance has an effect on competitive advantage, innovative culture affects competitive advantage with the mediation of individual performance, and quality of work life affects competitive advantage with the mediation of individual performance.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.389-396
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• 2022

Tourism has always played an important role in socio-economic development in Vietnam and in many countries around the world. Tourism is also an industry that has attracted a large number of workers in the past two decades in Vietnam in general and territories in particular. Over the past two decades, tourism in the southern Red River sub-region has created thousands of jobs for local workers and neighboring provinces. The study aims to examine the factors affecting the employment decision of workers in the tourism industry in the South Red River sub-region. Using a pilot study surveying 10 workers in three provinces to adjust the questionnaire and a sample data of 193 observations were performed. The experimental results prove that the independent variables explain 64% of the variation of the dependent variable, and other reasons can explain the rest (36%). Research results show that four factors, namely, welfare (WE), working conditions (IN), the potential for tourism development (POT), and development policy (POL) have a positive impact on the employment decision of workers. Meanwhile, the two factors that are tourism cooperation (CO)and Education (EDU), have an insignificant impact on the employment decision of workers in the southern Red River sub-region.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.4_2
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• pp.669-678
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• 2023

Recently, spatial information has been applied to various fields and its usability is increasing day by day. In particular, in the field of civil engineering and construction, BIM based on spatial information is being applied to all construction industries and related research has been conducted. BIM is a technology that utilizes spatial information from the design phase and aids in the construction and maintenance of buildings, including the management of their attributes. However, to apply BIM technology to existing buildings, it takes a lot of time and money to produce models based on design drawings along with current surveying. In this study, quantitative and qualitative analysis was conducted to determine the applicability of the acquired data and the applicability of BIM by generating data and analyzing the accuracy using UAV images and ground lidar, which are representative spatial information acquisition methods. Quantitative analysis revealed that TLS (Terrestrial Laser Scanner) showed reliable accuracy in both planar and elevation measurements, whereas unmanned aerial images exhibited lower accuracy in elevation measurements, resulting in reduced reliability. Qualitative analysis indicated that neither TLS nor unmanned aerial images alone provided perfect completeness. However, the combination of both spatial information sources, tailored to specific needs, resulted in the most comprehensive completeness. Therefore, it is concluded that the appropriate utilization of spatial information acquired through unmanned aerial images and TLS holds the potential for application in the fields of BIM and reverse engineering.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.313-320
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• 2017

Price fluctuation contract is imperative and of paramount essence in the construction industry as it provides adequate relief and cushioning for changes in the prices of input resources during construction. As a result, several methods have been devised to better help in arriving at fair recompense in the event of price chang es. However, stakeholders often appear not to be satisfied with the existing methods of fluctuation evaluation, ostensibly because of the challenges associated with them. The aim of this study was to identify the challenges to usage of building construction cost indices in Ghana. Data was gathered from contractors and quantity surveying firms. The study utilized survey questionnaire approach to elicit responses from the contractors and the consultants. Data gathered was analyzed scientifically, using the Relative Importance Index (RII) to rank the problems associated with the existing methods. The findings revealed the following among others; late release of data; inadequate recovery of costs; and work items of interest not included in the published indices as the main challenges of the existing methods. This study will provide useful lessons for policy makers and practitioners in decision making towards the usage and improvement of available indices.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.647-652
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• 2011

Developments in the teaching of the National Diploma in Building students should be geared towards meeting the needs of the construction industry in South Africa. These needs are usually in the form of skills and knowledge required to resolve thorny issues encountered in practice. The lack of capacity in the construction industry needs to be addressed from the basis of ensuring that the education system caters for both mature entry and matriculation entry students. The paper looks at a comparison in performance between mature entry and matriculation (just finish High School) entry students focusing on the National Diploma in Building students at the University of Johannesburg. The paper will make a comparison between those students who work first before enrolling for their first year National Diploma in Building and those who are directly from high school. Cooperative education involves training and systematically developing students through the acquisition of the requisite skills, attitudes, values and knowledge required to adequately perform in their chosen careers. The paper describes the problems and experiences that have been encountered by both mature and matriculation entry students in their three years of study which affects their performance. The paper will then look at the value of prior experience in enabling students to finish their National Diploma in Building within a three year period. The paper closes with some recommendations for the future.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.6_3
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• pp.1325-1332
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• 2023

Recently, much research is being conducted based on point cloud data for the growth of innovations such as construction automation in the transportation field and virtual national space. This data is often measured through remote control in terrain that is difficult for humans to access using devices such as UAVs and UGVs. Drones, one of the UAVs, are mainly used to acquire point cloud data, but photogrammetry using a vision camera, which takes a lot of time to create a point cloud map, is difficult to apply in construction sites where the terrain changes periodically and surveying is difficult. In this paper, we developed a point cloud mapping system by adopting non-repetitive scanning LiDAR and attempted to confirm improvements through field application. For accuracy analysis, a point cloud map was created through a 2 minute 40 second flight and about 30 seconds of software post-processing on a terrain measuring 144.5 × 138.8 m. As a result of comparing the actual measured distance for structures with an average of 4 m, an average error of 4.3 cm was recorded, confirming that the performance was within the error range applicable to the field.

• Journal of Environmental Health Sciences
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• v.3 no.1
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• pp.27-44
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• 1976

This study was carried out to evaluate the harmful factors in working environments and to investigate the labor productivity after improvement of environments, surveying 93 industrial establishments of 10 industries located in Youngdeungpo industrial area in Seoul. The results obtained were as follows: 1) The highest noise level of 125dB(A) was indicated at the rolling process of transport equipment manufacturing industry. 2) The best illumination level was shown in precise machinery industry and the worst was indicated in rubber products, metallic products and transport equipment manufacturing industries. 3) Thermal conditions were above threshold limit value (TLV) at more than two processes of all industries except printing industry. 4) The highest dust concentration was determined in textile and wearing manufacturing industry. 5) Organic solvents were detected at 52 processes in 93 industrial establishments and 33 processes of them showed higher than TLV. The results about harmful chemicals were as follows: a) sulfur dioxide ($SO_2$)was determined higher than TLV on welding process of metallic product manufacturing industry and heat treatment process of transport equipment manufacturing industry. b) Carbon monoxide (CO) concentration was 700ppm at heat treatment process of transport equipment manufacturing industry, indicating 14 times of TLV. c) vinylchloride concentration in the air of PVC raw material mixing process and PVC preparation process of chemical product manufacturing industry was determined higher than TLV. d) Hydrochloride (HCl) concentration in the air of wire expanding process of transport equipment manufacturing industry was determined higher than TLV. 7) Higher values of lead concentration than TLV were determined at lead welding metallic product manufacturing industry and type planting process of process of printing industry, $1.8mg/m^3$ and $0.3mg/m^3$ respectively. 9) 22, 968 of 52, 855 workers (i.e. 43.5%) in 93 industries were exposed to various harmful agents. 10) It was found that the improvement of illumination in electric apparatus manufacturing industry (from 20~40 lux to 420 lux) resulted in an increase in productivity of 6.5% per capita and a decrease in faulty products of 19%. 11) Improvement of environments using local exhaust ventilation system resulted in a decrease of harmful substances lower than TLV and an increase in productivity of 11.4%. 12) Improvement of shovelling tools based on ergonomics resulted in a reduction in energy expenditure of 25.3% and an increase in productivity of 32.2% per capita.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.1
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• pp.1-11
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• 2004

Cultural value is widely accepted as the crucial concept in understanding consumer behavior: cultural values influence consumption values, which determine choices of consuming everyday products and services. The objectives of this study were to (a) identify the difference between cultural and consumption values in the Korean fashion industry and (b) to explain the difference using the existing theories introducing fashion system, which are Solomon(2002)'s cultural production model in marketing area and Hamilton(1997)'s fashion system arbiter in clothing area. The qualitative data used to identify cultural values were 160 apparel advertisements listed in a fashion magazine issued in 2002. Utilizing the convenient sampling method, the quantitative data used to identify consumption values were gathered by surveying female university students aged over 20 living in the Seoul metropolitan area. Of 369 returned questionnaires, 255 were used in factor analysis and paired t-test. Cultural value ignored functional aspect of apparel while it was one of the most salient factors for consumption value. With respect to success and fashion orientation factors, cultural value highly appreciated them while they were the least considered factors for consumption value. These implicate that the Korean fashion industry can be explained by Hamilton's macro-level cultural and fashion system arbiters and cultural production model as well. Introducing macro-level perspectives about fashion system, this study encourages researchers to expand their research spectrum from micro-level consumers to macro-level fashion industry, which has long been neglected by the fashion marketing researchers in Korea.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.1
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• pp.97-105
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• 1997

In order to conserve architecture accurately as original feature, we need to get the data which is measured in detail about the information of size, position, type, shape, and other terms for architectures. Recently, we need to get data fast and correctly, to compose and to update the database of geographic information system, but using existing method. it is difficult to update the data effectively in the rapid development of information industry. In this study, therefore, It is measured precisely architecture using accurate close-range photogrammetry The aims of this study are real-measured plan by processing acquired image through multi-image matching method if photogrammetry, suggesting the method which is able to draw in detail front plane and plane of well-established architecture, and giving data to obtain accurate size and 3-D coordinate using analytical method.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.5
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• pp.385-396
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• 2015

The purpose of this study are in selecting a core service and drawing an analysis functions and service sector, based on contents of geo-spatial big data. For the study, the demand survey in the methodology has to be done by reviewing of preceding geo-spatial big data service. The survey has conducted by targeting on those experts in Industry-Academy-Research cooperation. From the survey, we could draw out requirements for the analysis function and the geo-spatial big data service sector. Also, order of priorities in service of four fields(Society, Environment, Economy, Humanities) has been utilized by a QFD(Quality Function Deployment). With the data, the first two priorities and required sectors for each field were selected for the analysis functions. From the result, we could suggest the core service model(plan), and also expect developments following each sectoral core service in the future.