• Journal of the Korean Home Economics Association
• /
• v.49 no.8
• /
• pp.47-61
• /
• 2011

This study aimed to analyze the influential relation among personality traits, self-esteem and life satisfaction of the elderly and to analyze the differences in the conceptual variables according to demographic factors. The survey was conducted from January 10 to February 20 in 2011, and the participants were 282 seniors over the age of 60 in Gangwon province areas. As a result, the personality traits of the elderly were classified into openness, agreeableness, conscientiousness, neuroticism, and extraversion. There were partially significant differences in the personality traits, self-esteem and life satisfaction according to demographic factors. The personality traits such as openness, agreeableness, conscientiousness, and extraversion had a positive impact on self-esteem and satisfaction of positive life. The neuroticism of personality traits had a negative impact on satisfaction of positive life, while it had a positive impact on satisfaction of negative life.

• The Journal of Asian Finance, Economics and Business
• /
• v.1 no.3
• /
• pp.29-36
• /
• 2014

This paper attempts to measure the impact of non-financial factors including analyst practices and broker resources on performance of sell side research. Results reveal that these non-financial factors have a measurable impact on performance of target price forecasts. Number of pages written by an analyst (surrogate for analyst practice) is significantly and directly linked with target price accuracy indicating a more elaborate analyst produces better target price forecasts. Analyst compensation (surrogate for broker resource) is significantly and inversely linked with target price accuracy. Out performance by analysts working with lower paying firms is possibly associated with motivation to migrate to higher paying broking firms. The study finds that employing more number of analysts per research report has no significant impact on target price accuracy -negative coefficient indicates that team work may not result in better target price forecasts. Though insignificant, long term forecast horizon negatively affects target price accuracy while stock volatility improves target price accuracy.

• Asian Journal of Innovation and Policy
• /
• v.7 no.1
• /
• pp.55-78
• /
• 2018

This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.

• Journal of Environmental Impact Assessment
• /
• v.2 no.1
• /
• pp.21-29
• /
• 1993

We live in an age of information and an era of rising environmental awareness. As a result, efficient and judicious use of environmental information has become a prerequisite to planning and management of environmental affairs in contemporary societies. So, we have embarked on a study of Environmental Information System(EIS). In the first article, we discussed the status analysis of EIS in Korea, USA, and Japan. This study as the second project has three major components. First, it classifies items and sources of 22 EIA factors. Second, it explains building of environmental information comprising geographic and attribute data of 17 factors. Finally, the study presents applications of EIS as an alternative assessment of suitability analysis. Based on these analysis, the study makes some recommendations and conclusions.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2005.11a
• /
• pp.946-949
• /
• 2005

In this paper, influence factors on dynamic properties of floor impact noise insulation materials are suggested. For this purpose measurements on the dynamic stiffness and the loss factor of resilient materials are carried out by Korea standard (KS F 2868) according to the change of density, thickness, design pattern, and composition of materials. As a result the values of dynamic stiffness was decreased at high density and thick thickness, and that of loss factor was increased at low density. For dynamic properties, the pattern of lattice and waffle type material is better than that of plat type, and the mixed composition of materials is better than the composition of double layer materials at same thickness.

• Korean Journal of Organic Agriculture
• /
• v.32 no.1
• /
• pp.55-74
• /
• 2024

This study examines how consumer attitudes toward food origin and health concerns influence beef purchasing behavior. Using data from the Korea Rural Economic Institute's food consumption behavior survey, we analyzed the frequency of purchasing domestic and imported beef. Results indicate that when not distinguishing between domestic and imported beef, perceptions of lower origin quality and higher health concerns are associated with an increase in purchasing frequency. However, such influences are statistically insignificant for imported beef. Further analysis reveals that for consumers exclusively purchasing domestic beef, these factors do not significantly impact purchasing frequency, while for consumers simultaneously purchasing both domestic and imported beef, these factors do significantly impact purchasing frequency.

• The Journal of Bigdata
• /
• v.8 no.2
• /
• pp.109-123
• /
• 2023

This study investigates the impact of perceived risk, perceived deception, and negative emotional factors on consumer distrust, dissatisfaction, and boycott intentions towards both YouTubers and products that fail to adequately disclose paid advertisements, commonly referred to as "hidden advertisement." Conducted through an online survey, 306 YouTube viewers from South Korea participated in the study. The findings reveal several key insights. Firstly, perceived deception, perceived risk, and negative emotional factors are identified as contributors to increased consumer distrust and dissatisfaction. Secondly, both consumer distrust and dissatisfaction exhibit positive correlations with boycott intentions towards YouTubers and products. This research seeks to unravel the intricacies of online consumer boycott intentions and aims to elucidate the underlying reasons behind such actions. It is noteworthy that in this context, the ramifications of boycotts extend beyond influencers or YouTubers alone, impacting consumer distrust and dissatisfaction, thereby influencing boycott intentions towards the associated products and exerting a lasting impact on a company's branding efforts.

• Journal of Korean Society for Quality Management
• /
• v.31 no.4
• /
• pp.64-80
• /
• 2003

According to the study of TQM implementations, the odds that an organization will successfully implement total quality management are two to one­against it. However, organizations armed with knowledge of the factors that have the biggest impact on their success can take steps to influence or change those factors. In this paper, we first are reviewed those rewards factors through literature study and gave the test for them in the Korean industry. This study also proposes that appropriate successful rewards factors are necessary for TQM implementations.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.977-993
• /
• 2020

Sustainable tourism is the development of tourism activities to meet the current needs of tourists and indigenous peoples while paying attention to the conservation and improvement of resources for the development of tourism activities in the future (World Tourism Organization, 2013). With the aim of identifying factors affecting the development of sustainable tourism in the South Central Coast of Vietnam, the study conducted a typical survey of 160 tourism managers and 240 tourists traveling or have participated in tourism activities of 8 provinces in the South Central Coast of Vietnam, and used the exploratory factor analysis (EFA) analysis and regression analysis for analyzing the data. The research results show that 11 factors impact the development of sustainable tourism in the South Central Coast namely Institutions and policies for tourism development, Infrastructure, Tourism resources, Human resources for tourism, Diversity of tourism services, Relevant support services, Activities of association and cooperation for tourism development, Tourism promotion and encouragement, Tourists' satisfaction, Local community, and Other factors. At the same time, among the above factors, the factors Institutions and policies for tourism development, Infrastructure, Tourism resources, and Local community strongly impact the development of sustainable tourism in the region.

• Journal of the Korea Institute of Building Construction
• /
• v.12 no.6
• /
• pp.636-647
• /
• 2012

Construction projects have become so large, complicated and incredibly high-tech that process management is currently considered one of the most important issues. Unlike typical manufacturing industries, most major construction activities are performed in the open air and thus are exposed to various environmental factors. Many studies have been conducted with the goal of establishing efficient techniques and tools for overcoming these limitations. Productivity analysis and prediction, one of the related research subjects, must be considered when evaluating approaches to reducing construction duration and costs. The aim of this research is to present a quantified impact analysis of construction delay factors on construction productivity of a steel staircase system, which has been widely applied to high rise building construction. It is also expected to improve the process by managing the factors, ultimately achieving an improvement in construction productivity. To achieve the research objectives, this paper analyzed different delay factors affecting construction duration by means of multiple regression analysis focusing on steel staircase systems, which have critical effects on the preceding and subsequent processes in structure construction. Statistical analysis on the multiple linear regression model indicated that the environment, labor and material delay factors were statistically significant, with 0.293, 0.491, and 0.203 as the respective quantified impacts on productivity.