• Title/Summary/Keyword: reward time

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A Study on Work and Environmental Variables Explaining Newcomers' Turnover Intentions (신입사원의 이직의도에 영향을 미치는 작업환경 변수에 관한 연구)

  • Tak, Jin-Kook;Lee, Dong-Ha;Park, Ji-Hyun;Kim, Hyun-Hae;Jung, Byung-Suk
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.469-484
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    • 2008
  • This study was intended to examine various work and environmental variables explaining newcomers' turnover intentions. Data were collected from 901 newcomers using online survey. Results of multiple regression analyses showed that individual-job fit, reward dissatisfaction, fringe benefit dissatisfaction, vision in organization, participation in decision making, realistic job preview, leader dissatisfaction, co-worker relationship and work environment explained significant variances of turnover intentions. Data were classified into full-time and part time employees based on employment type and into a large and a small-medium company based on company size. There were small differences in significant variables explaining turnover intentions based on company size as well as employment type. Finally implications and future research were discussed.

Evidence Based Practice in Long Term Care Settings

  • Specht, Janet K.
    • Journal of Korean Academy of Nursing
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    • v.43 no.2
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    • pp.145-153
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    • 2013
  • Purpose: The purpose of this manuscript is to discuss the need for use of evidence based practice (EBP) in LTC, the current use of evidence in long term care facilities and what we know about adoption of the use of EBP in LTC. Methods: Literature review and reporting of findings from the M-TRAIN study that was a quasi-experimental design to test the effectiveness of an intervention to increase the use of EBPs for urinary incontinence and pain in 48 LTC facilities. Results: Barriers to adopting EBPs include lack of available time, lack of access to current research literature, limited critical appraisal skills, excessive literature to review, non-receptive organizational culture, limited resources, and limited decision-making authority of staff to implement change. Strategies to promote adoption of EBP include the commitment of management; the culture of the home; leadership; staff knowledge, time, and reward; and facility size, complexity, the extent that members are involved outside the facility, NH chain membership, and high level of private pay residents. Findings from the M-TRAIN add, stability of nurse leader and congruency between the leaders perception of their leadership and the staff's perception of the leadership. Conclusion: There is clear evidence of the need and the benefits to residents of LTC and to the health care system yet adoption of EBP continues to be slow and sporadic. There is also evidence for the process of establishing best evidence and many resources to find the available EBPs. The urgent need now is finding ways to best get the EBPs implemented in LTC. There is growing evidence about best methods to do this but continued research is needed. Clearly, residents in LTC deserve the best care possible and EBPs represent an important vehicle by which to do this.

An Explorative Study on Development Direction of a Mobile Fitness App Game Associated with Smart Fitness Wear (스마트 피트니스 웨어 연동형 모바일 피트니스 앱 게임의 개발 방향 탐색)

  • Park, Su Youn;Lee, Joo Hyeon
    • Journal of Digital Contents Society
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    • v.19 no.7
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    • pp.1225-1235
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    • 2018
  • In this study, as a part of practical and customized smart contents development planning research related to smart fitness contents associated with smart wear that can monitor physical activity, we investigated the potential needs for smart fitness contents through research. As a result, the potential needs for smart fitness contents is 'accessibility to use', 'inducement of interest', 'diverse story line' were derived at the stage of 'before exercise', 'Real - time voice coaching', 'accurate exercise posture monitoring', and 'personalized exercise prescription' were derived at the stage of 'during exercise'. At the stage of 'after exercise', 'substantial reward system', 'grading system', 'body figure change monitoring' and 'everyday life monitoring' were derived. At the stage of 'connection to the next exercise', 'triggering exercise motivation', 'high sustainability' wear derived.

Technological Change and Organizational Strategy as an Evolutionary Process (진화론적 관점의 기술혁신의 동태성: 정보기술산업과 조직경쟁유형의 진화)

  • Cha, Dae-Kyu
    • Korean Business Review
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    • v.11
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    • pp.15-38
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    • 1998
  • This study explores the evolution of technical innovation over time. It focuses on sectors of the information technology because this industry can be referred to as one of the most dynamic industries of all times. Following evolutionary theorists, we argue that technological change is gradual and that superior firms and technologies are reward by the' selection' environment. In the initial phase of the industry life cycle, technological change is expected to be radical and uncertainty is high. Over time a product or technology is likely to arise which stands out above all other products or technologies. These so-called 'basic designs' serve as sorts of 'technological guideposts' for further developments in the technology. Once a basic design established, technological progress tends to follow consistent paths or trajectories. The cumulative character of technological progress facilitates a rapid expansion of the boundaries of the technology until the natural limits of the technology are approached and technological progress slows down. Following ecological theories, supply-side developments in the industry are described on the basis of five different organizational types. On the basis of this pattern of market and technological evolution we came up with seven basic propositions.

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A study on the relationship between job stress and subjective symptoms associated with musculoskeletal disorders of the financial working woman's (금융직 여성 근로자의 직무스트레스 실태와 근골격계질환 자작증상과의 관련성 연구)

  • Cho, Ki-Hong;Choi, Soon-Young;Park, Dong-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.9 no.4
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    • pp.17-28
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    • 2007
  • This study tried to identify the job stress characteristics of female bank workers and the relationship between their stress and symptoms associated with musculoskeletal disorders(MSDs). The total number of 587 female bank tellers have been participated in this study. Specifically, questionnaire surveys regarding job stress and MSDs symptoms were conducted. On the basis of the results from the survey using Korean version of job stress questionnaire with 24 questions, stress scores associated with job requirement and job flexibility were relatively high. The job stress levels regarding job demand, organizational system, occupational climate at the work place were relatively high for the full time workers while the job stress levels regarding insufficient job control, job stability, interpersonal conflict, lack of reward were relatively high for the part time worker. The workers with longer total work years had relatively high job stress associated with interpersonal conflict, and organizational system while the workers with longer work years at the current job had relatively high job stress associated with occupational climate. Also, the workers with longer working hours a day had relatively high job stress associated with job demand, interpersonal conflict, organizational system, and occupational climate. According to the relationship identified in this study, symptoms at the neck, shoulder, hand, low back. leg were associated with the stress levels in terms of job flexibility, interpersonal conflict, job requirement, job stability. In conclusion, female bank workers are exposed to job stress due to their specific job characteristics and there has been certain relationships between their job stress and MSDs symptoms.

Change of Temperament and Personality in Post-traumatic Stress Disorders (외상후 스트레스장애에서 기질 및 성격의 변화)

  • Choi, Hyosun;Kim, Daeho;Kim, Eunkyeong
    • Korean Journal of Psychosomatic Medicine
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    • v.28 no.2
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    • pp.155-160
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    • 2020
  • Objectives : This study investigate to identify the stability of temperament and personality characteristics of patients including Posttraumatic Stress Disorder (PTSD) patients. Methods : The number of subjects was 102, of which 33 were PTSD patients and 69 were non-PTSD patients. To demonstrate the change in individual temperament and personality characteristics, Temperament and Character Inventory (TCI) were administered repeatedly on the subjects. Repeated measures ANOVA and simple main effects analysis were conducted. Results : When analysed by dividing the subjects into PTSD groups and non-PTSD groups, the differences between the primary and secondary tests did not appear in the non-PTSD groups, but the differences between the primary and secondary tests were significant in Harm Avoidance (HA), Reward Dependence (RD), Self-Directedness (SD), Cooperativeness (C). In addition, it was noted that the time and group interaction effects of HA, RD, SD and C were significant, and that the main effects of time of HA, RD, SD and C were significant. Conclusions : This study is meaningful in that in the course of experience and recovery of traumatic events, we have clinically confirmed that changes in the temperament, known as stable variables, are possible.

Improved Bitcoin Network Neighbors Connection Algorithm to Reduce Block Propagation Time (블록 전파 시간 단축을 위한 비트코인 네트워크 이웃 연결 알고리즘 개선)

  • Bang, Jiwon;Choi, Mi-Jung
    • KNOM Review
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    • v.23 no.1
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    • pp.26-33
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    • 2020
  • Bitcoin is an electronic money that does not rely on centralized institutions such as banks and financial institutions, unlike the world's paper currencies such as dollar, won, euro and yen. In Bitcoin network, a block with transaction details is generated by mining, and the message that the block has been created is broadcast to all participating nodes in a broadcasting method to secure reliability through verification. Likewise, the mining and block propagation methods in the Bitcoin network are greatly affected by the performance of the P2P network. For example, in the case of mining, the node receiving the reward for mining varies depending on whether the block is first mined in the network and the proof of mining is propagated faster. In this paper, we applied local characteristics and Round-to-Trip(RTT) measurement to solve the problems of the existing neighbor connection method and block propagation method performed in Bitcoin network. An algorithm to improve block propagation speed is presented. Through experiments, we compare the performance of the improved algorithm with the existing algorithm to verify that the overall block propagation time is reduced.

Implementation of Digital Game-based Learning Feature for Package Tour Management Application (패키지 투어 관리 애플리케이션을 위한 디지털 게임 기반의 학습 기능 구현)

  • Wahyutama, Aria Bisma;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.1004-1012
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    • 2022
  • This paper contains the implementation of a game as a feature of a package tour management application with the Digital Game-based Learning approach that helps tourists learn about tourism spots. The game is written in Java language for an Android smartphone that is designed to be integrated with Content Management System (CMS) to manage the game's contents and assets. The game contains one tourism spots introductory level and five quiz game levels with each having a reward (points) and punishment (time penalty) system, then summed the results to obtain the total score from all levels. The total score will determine a tourist's performance and be listed on an online leaderboard to increase competitiveness among tourists. The conducted performance evaluation of the game shows satisfactory results of 0.9 seconds of response time from the database to the game. Implementing the game presented in this paper will potentially reduce the burden of the tour guide and increase the efficiency of managing the tour group.

Exploring the Effectiveness of GAN-based Approach and Reinforcement Learning in Character Boxing Task (캐릭터 복싱 과제에서 GAN 기반 접근법과 강화학습의 효과성 탐구)

  • Seoyoung Son;Taesoo Kwon
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.4
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    • pp.7-16
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    • 2023
  • For decades, creating a desired locomotive motion in a goal-oriented manner has been a challenge in character animation. Data-driven methods using generative models have demonstrated efficient ways of predicting long sequences of motions without the need for explicit conditioning. While these methods produce high-quality long-term motions, they can be limited when it comes to synthesizing motion for challenging novel scenarios, such as punching a random target. A state-of-the-art solution to overcome this limitation is by using a GAN Discriminator to imitate motion data clips and incorporating reinforcement learning to compose goal-oriented motions. In this paper, our research aims to create characters performing combat sports such as boxing, using a novel reward design in conjunction with existing GAN-based approaches. We experimentally demonstrate that both the Adversarial Motion Prior [3] and Adversarial Skill Embeddings [4] methods are capable of generating viable motions for a character punching a random target, even in the absence of mocap data that specifically captures the transition between punching and locomotion. Also, with a single learned policy, multiple task controllers can be constructed through the TimeChamber framework.

MDP(Markov Decision Process) Model for Prediction of Survivor Behavior based on Topographic Information (지형정보 기반 조난자 행동예측을 위한 마코프 의사결정과정 모형)

  • Jinho Son;Suhwan Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.101-114
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    • 2023
  • In the wartime, aircraft carrying out a mission to strike the enemy deep in the depth are exposed to the risk of being shoot down. As a key combat force in mordern warfare, it takes a lot of time, effot and national budget to train military flight personnel who operate high-tech weapon systems. Therefore, this study studied the path problem of predicting the route of emergency escape from enemy territory to the target point to avoid obstacles, and through this, the possibility of safe recovery of emergency escape military flight personnel was increased. based problem, transforming the problem into a TSP, VRP, and Dijkstra algorithm, and approaching it with an optimization technique. However, if this problem is approached in a network problem, it is difficult to reflect the dynamic factors and uncertainties of the battlefield environment that military flight personnel in distress will face. So, MDP suitable for modeling dynamic environments was applied and studied. In addition, GIS was used to obtain topographic information data, and in the process of designing the reward structure of MDP, topographic information was reflected in more detail so that the model could be more realistic than previous studies. In this study, value iteration algorithms and deterministic methods were used to derive a path that allows the military flight personnel in distress to move to the shortest distance while making the most of the topographical advantages. In addition, it was intended to add the reality of the model by adding actual topographic information and obstacles that the military flight personnel in distress can meet in the process of escape and escape. Through this, it was possible to predict through which route the military flight personnel would escape and escape in the actual situation. The model presented in this study can be applied to various operational situations through redesign of the reward structure. In actual situations, decision support based on scientific techniques that reflect various factors in predicting the escape route of the military flight personnel in distress and conducting combat search and rescue operations will be possible.