• Title/Summary/Keyword: 논문 구성자

Search Result 4,088, Processing Time 0.048 seconds

A study on the Effect of Relational Energy and Resilience on Individual Job Performance through Job Crafting (관계적에너지와 회복탄력성이 직무재창조를 통하여 개인직무성과에 미치는 영향 연구)

  • Nam, Eun Woo;Sun, Eun Jung;Seo, Young Wook
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.2
    • /
    • pp.529-544
    • /
    • 2022
  • With the global pandemic in the era of the 4th industrial revolution, the business environment of companies was engulfed by rapid volatility and uncertainty. In particular, in order for an organization to have high competitiveness due to the spread of the flexible work system, relationship management with members of the organization and self-directed job crafting are recognized as important key resources. This study aims to investigate how relational energy and resilience within a corporate organization affect job crafting and to verify the effect of job crafting on individual job performance. For empirical research, 400 valid responses to employees of general companies were analyzed by SPSS 26.0 and Smart PLS 3.0. As a result of the analysis, first, it was confirmed that relational energy did not have a positive (+) effect on task crafting. Second, it was found that relational energy had a positive (+) effect on relational crafting and cognitive crafting, respectively. Third, it was found that resilience had a positive (+) effect on both task crafting, relationship crafting, and cognitive crafting that constitute job crafting. Fourth, it was found that job crafting had a positive (+) effect on individual job performance. Based on these research results, we intend to derive academic and practical implications and provide practical help to follow-up researchers and stakeholders.

The Effect of Business Strategy on Audit Delay (기업의 경영전략이 회계감사 지연에 미치는 영향)

  • Kim, Jeong-Hoon;Kim, Min-Hee;Do, Kee-Chul;Lee, Yu-Sun
    • Journal of the Korea Convergence Society
    • /
    • v.13 no.5
    • /
    • pp.219-228
    • /
    • 2022
  • In order to improve audit quality, it is essential to understand the occurrence of disagreement between auditors and managers, and this study aims to analyze the impact of Business Strategies on audit risk and accounting audit delay. To this end, we conducted an empirical analysis using sample 2,910 firm-year data from 2018 to 2020 of KOSPI-listed and KOSDAQ-listed companies. The results of the empirical analysis of this study are as follows. First, compared to the companies of defender type, prospectors can expand audit procedures for new products, R&D costs, and intangible assets, and increase audit delays due to disagreement between managers and auditors. Second, compared to KOSPI-listed companies, the prospectors in KOSDAQ are more likely to have lower financial reporting quality, which further increases audit delays. The results of this study analyzed whether a company's Business Strategy affects the possibility of disagreement between an auditor and a company, and verified whether there is a difference in the audit report lag by stock market. The results of this study show that auditors' strong duty of care is needed for the companies of prospector type with high audit risk, and it is meaningful to present reinforced audit systems and specific guidelines for the companies of prospector type through the definition of prospector type. It also enables the expansion of research to identify the relationship between non-financial factors and audit risks that make up the companies of prospector type.

Performance Comparison of Reinforcement Learning Algorithms for Futures Scalping (해외선물 스캘핑을 위한 강화학습 알고리즘의 성능비교)

  • Jung, Deuk-Kyo;Lee, Se-Hun;Kang, Jae-Mo
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.5
    • /
    • pp.697-703
    • /
    • 2022
  • Due to the recent economic downturn caused by Covid-19 and the unstable international situation, many investors are choosing the derivatives market as a means of investment. However, the derivatives market has a greater risk than the stock market, and research on the market of market participants is insufficient. Recently, with the development of artificial intelligence, machine learning has been widely used in the derivatives market. In this paper, reinforcement learning, one of the machine learning techniques, is applied to analyze the scalping technique that trades futures in minutes. The data set consists of 21 attributes using the closing price, moving average line, and Bollinger band indicators of 1 minute and 3 minute data for 6 months by selecting 4 products among futures products traded at trading firm. In the experiment, DNN artificial neural network model and three reinforcement learning algorithms, namely, DQN (Deep Q-Network), A2C (Advantage Actor Critic), and A3C (Asynchronous A2C) were used, and they were trained and verified through learning data set and test data set. For scalping, the agent chooses one of the actions of buying and selling, and the ratio of the portfolio value according to the action result is rewarded. Experiment results show that the energy sector products such as Heating Oil and Crude Oil yield relatively high cumulative returns compared to the index sector products such as Mini Russell 2000 and Hang Seng Index.

Card Transaction Data-based Deep Tourism Recommendation Study (카드 데이터 기반 심층 관광 추천 연구)

  • Hong, Minsung;Kim, Taekyung;Chung, Namho
    • Knowledge Management Research
    • /
    • v.23 no.2
    • /
    • pp.277-299
    • /
    • 2022
  • The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

Analysis of Performance in Fostering the Companies Occupied in Technopark and its Characteristics: Focusing on Growth Path and Type (테크노파크 입주기업 육성의 성과 및 특성 분석: 성장경로 및 유형을 중심으로)

  • Seulbee Lee;Myungjun Oh;Jinhee Bae;Seseon Ryou
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.25 no.4
    • /
    • pp.531-546
    • /
    • 2022
  • This study analyzes the performance and characteristics of the fostering policies for the focusing on growth path and type occupied in the Technoparks. First, the companies occupied in the Technoparks have shown the characteristics of landing on an actual growth phase beyond the start-up and fostering phases, and when considering the possession of a dedicated R&D organization and the portion of highly educated technical personnel having masters and doctorate degrees, these companies have also entailed the characteristics of being a technological innovation company. Second, about 30% of the companies that left the Technoparks secured their own factories and offices after standing alone, indicating that the fostering function after startup in the Technoparks has been performing a significant role on the growth path of start-up companies from a temporal perspective. Third, a majority of the companies occupied in the Technoparks were composed of scale-up companies or preliminary scale-up companies that contained promising innovative growth potential. However, it seems to urgently require the acceleration of innovation because many companies are categorized into a stagnated growth type that demonstrates a high R&D investment but low sales revenue growth.

A Study on Correlation Analysis between Inventory Data and Danger Grade of Cut Slopes: Cut Slopes in Kangwondo and Chungcheongdo. (절토사면 현황조사 자료와 위험도간의 상관분석에 관한 연구: 강원도, 충청도 일대 절토사면)

  • Kim, Jin-Hwan;Lee, Jeong-Yeob;Kim, Seung-Hyun;Koo, Ho-Bon
    • Journal of the Korean Geotechnical Society
    • /
    • v.25 no.12
    • /
    • pp.27-35
    • /
    • 2009
  • KICT (Korea Institute of Construction and Technology) and KISTEC (Korea Infrastructure Safety and Technology Corporation) have been carrying out inventory survey on cut slopes along national roads since 2006. Unlike precision safety check, cut slope inventory survey is a simple check about cut slope's characteristics with the naked eye to collect the data base of slope maintenance. Inventory survey is classified into general status, cut slope characteristics and inspector opinions. The inventory data are analyzed to identify dangerous slopes and decide a safety ranking. In this paper, we performed a correlation analysis using SPSS (ver.15) about the 10,461 cut slope inventory data which are collected in Kangwondo and Chungcheongdo from 2006 to 2008. We calculated the correlation coefficient between cut slope inventory data and the danger score derived from the data. And we evaluated cut slope inventory data which have the more influence on the danger degree of cut slope. According to results of correlation analysis, we found that inventory data influencing cut slope danger degree are stuck and fallen rock, orientation of discontinuity and angle of upper slope. And these data are slightly different by regionally. Later on, if inventory research is finished, we will understand regional characteristics of cut slopes.

A Point of Production System for Semiconductor Wafer Dicing Process (반도체 웨이퍼 다이싱 공정을 위한 생산시점 정보관리시스템)

  • Kim, In-Ho
    • Journal of the Korea Society of Computer and Information
    • /
    • v.14 no.10
    • /
    • pp.55-61
    • /
    • 2009
  • This paper describes a point of production(POP) system which collects and manages real-time shop floor machining information in a wafer dicing process. The system are composed of POP terminal, line controller and network. In the configuration of the system, LAN and RS485 network are used for connection with the upper management system and down stratum respectively. As a bridge between POP terminal and server, a line controller is used. The real-time information which is the base of production management are collected from information resources such as machine, product and worker. The collected information are used for the calculation of optimal cutting condition. The collection of the information includes cutting speed, spout of pure water, accumulated count of cut in process for blade and wafer defect. In order to manage machining information in wafer dicing process, production planning information is delivered to the shop floor, and production result information is collected from the shop floor, delivered to the server and used for managing production plan. From the result of the system application, production progress status, work and non-working hour analysis for each machine, and wafer defect analysis are available, and they are used for quality and productivity improvements in wafer dicing process. A case study is implemented to evaluate the performance of the system.

Survey of dysphagia meal management for the elderly and the disabled (전국 요양시설과 장애인시설의 연하장애 환자를 위한 식사 실태조사)

  • Lee, Hyun-Jung;Choi, Kui-Jeong;Park, Young-Sook;Shin, Weon-Sun
    • Korean Journal of Food Science and Technology
    • /
    • v.54 no.1
    • /
    • pp.35-42
    • /
    • 2022
  • A survey was conducted to investigate the conditions of meal management and the use of thickening agents for dysphagia in long-term institutions and welfare centers in Korea. The online questionnaire for the survey comprised six questions on the general characteristics of subjects, 16 on meal management, 10 on dietitians' knowledge, and 30 on dietitians' perceived performance and importance of meal management for dysphagia. The complete data from 268 questionnaires were analyzed, and Importance-Performance Analysis (IPA) was conducted. The results of the survey indicated frequent, "difficulties due to no specific guidance on managing dysphagia meal," "lack of caregiver understanding of the importance of dysphagia meal," "lack of opportunity and time for meal education/counseling," "difficulties with management due to dietitians' lack of experience and awareness of dysphagia," and "limited understanding of cooking staff in preparing dysphagia meal." Importantly, these five parts were categorized in the low-priority region in an IPA of the performance.

Signification Education for Communication of Creative Semiotic System on Social and Cultural Value - Focused on Advertising Story - ('사회문화적 가치'에 대한 창조적 기호계(semiosphere)와 의사소통을 위한 의미 표현 교육 - 광고스토리를 중심으로 -)

  • Lim, Ji-Won
    • Journal of Korea Entertainment Industry Association
    • /
    • v.13 no.5
    • /
    • pp.145-153
    • /
    • 2019
  • The present study is a discussion in which the flow of 'social and cultural values' inherent in the creative advertising story is considered against Bart's symbolism and the creative symbol system, and attempted to reproduce the work through the cognitive thinking of the inmates. The interaction of correct social and cultural communication is not just a strategy for persuasion and effectiveness. Starting with these issues, I thought that experiencing the 'symbolic production' and 'cognition interpretation' of the most creative, aesthetic and implicit advertising stories was the realization of concrete cultural values. The reason why I pay attention to advertising as a target tool of the original school is that it gives anyone access to the social and cultural values based on the productivity of meaning, the sharing of meaning and social small-call work by paying attention to the most implicit symbols in a short period of time. I also think that with the trend of the times, it is well worth it as a tool of positive communication for social and cultural member harmony and solving future problems. The reality of social and cultural advertising stories conducted in conjunction with the analysis of meaning at the cognitive thought level is very appropriate to apply in creative classes for college students. The Dong-A Ilbo is a discussion that suggested that the work of realizing the cognitive meaning of advertising stories, a "symbol complex" based on creativity in a complex, multi-media era, will become an age-old communication tool to join university students' strategies for solving future problems

The Variables of Surface of Revolution and its effects on Human Visual Preference (회전체의 특성이 시각적 선호에 미치는 영향)

  • Park, Heeyoung;Kim, Cheongtag;Park, Youngjin
    • Journal of the Korea Computer Graphics Society
    • /
    • v.28 no.4
    • /
    • pp.31-40
    • /
    • 2022
  • This study assumed two key parameters that describe smoothness. Previously, the number of studies that defined smoothness with the concept of curvature has been limited. The parameters were the two physical characteristics of curvature: the number of waves and the amplitude of them. The purpose of the study was to observe which of the two parameters influences the perception of smoothness and to examine the relationship between the sense of aesthetic beauty and smoothness. The visual stimuli used in the study were transformed three-dimensional spheres, based on the combination of the three levels of the two parameters of nine distinct conditions. We analyzed the three responses that measured the preference of each visual stimuli, the familiarity score, and the smoothness evaluation score, each with the linear mixed model whose fixed effects were the two parameters and random effects were the participants' individual differences. Nearly the eighty percent of the variance of the smoothness evaluation score was explained by the linear model with the two key parameters and their interaction. The physical characteristics of a viewed object were far more significant than individual differences such as personality factors and the manner of art appreciation. In conclusion, the study examined the perception of smoothness based on the change of the physical characteristics of a shape. The study further recognized the relationship between smoothness and the aesthetic preference. No significant influence of the participants' individual difference such as gender, the degree in fine arts, personality factors, and the manner of art appreciation was observed. The amplitude of waves, rather than the number of them, was far more significant to the perception of smoothness.