• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.3
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• pp.1-26
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• 2011

As brand is increasingly important as a competitive source and information and communication technology based on Internet is rapidly advanced, many companies have paid attention to online brand community that is expected to help strengthen the customer's awareness on their products and services. This study suggests four factors-interaction, purpose, playfulness, reward-that facilitate online brand community commitment, and examines the effect of online brand community commitment on brand loyalty from the perspective of social identity theory. For this purpose, 243 sample data were collected from three online brand community sites and the proposed research model was empirically tested using LISREL 8.7 based on structural equation model. In conclusion, this study proposed theoretical and practical implications along with its limitations and future studies.

• The Journal of Korea Robotics Society
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• v.1 no.2
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• pp.163-171
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• 2006

This paper introduces the research progress on the artificial brain in the Telerobotics and Control Laboratory at KAIST. This series of studies is based on the assumption that it will be possible to develop an artificial intelligence by copying the mechanisms of the animal brain. Two important brain mechanisms are considered: spike-timing dependent plasticity and dopaminergic plasticity. Each mechanism is implemented in two coding paradigms: spike-codes and rate-codes. Spike-timing dependent plasticity is essential for self-organization in the brain. Dopamine neurons deliver reward signals and modify the synaptic efficacies in order to maximize the predicted reward. This paper addresses how artificial intelligence can emerge by the synergy between self-organization and reinforcement learning. For implementation issues, the rate codes of the brain mechanisms are developed to calculate the neuron dynamics efficiently.

• Journal of the Korean Home Economics Association
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• v.42 no.9
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• pp.67-83
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• 2004

The purpose of this study were, (1) to analyze the effect of the selected variables on urban housewives' family resource management attitude and behavior, and (2) to identify the casual effects of variables on family resource management behavior. A sample of 641 was selected from housewives living in urban area. For data analysis, one-way ANOVA, DMR test, t-test, multiple regression, and path analysis were used. The major findings were as follows: 1. The housewives' family resource management behavior level was lower than their attitude level. 2. The family resource management attitude and behavior among the respondents were affected by the following independent variables : interest with environmental reports and newspapers, perception of time constraints, perception of economic reward. 3. The family resource management attitude had the greatest causal effect on the family resource management behavior.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.325-334
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• 2015

Nowadays, crowdsourcing has become a popular concept and is widely used in many social, economical and technological areas. For consumer product design, crowdsourcing is implemented extensively with many cases. Although there has been a lot of research on the application of crowdsourcing for product design, the big picture of how factors influence the participartion of individuals from the crowd in a crowdsourcing project for product design has not yet been understood. This paper aims to investigate the relationships of crowd participation and influencing factors including: process, product, and reward. To do this, we conducted a survey on a crowd of engineering individuals and analyzed the collected data with data mining techniques. Main findings include the relationships of crowd participation versus process, product, and reward factors as well as regression models to predict crowd participation.

• Management & Information Systems Review
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• v.11
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• pp.111-135
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• 2002

Since companies are increasingly aware of the importance of upstream and downstream organizations to their performance, companies' leaders would also like to influence operations with supply chain partners. This paper aims to study the SCM performance and the influencing factors, that is Buyer's leadership and Vendor's relationship-orientation. Also, I try to examine the mediating effect of relationship-orientation between leadership and SCM performance. The results of this study can be summarized as follow; (1) The charismatic trait and individual consideration in transformational leadership factors, and contingent reward in transactional leadership factors positively effected to the relational-orientation. But intellectual stimulation and management-by-exception did not effected to relational-orientation. (2) Only contingent reward in transactional leadership factors was significantly related to the SCM performance. (3) Relational-orientation mediated between SCM leadership and SCM performance.

• Journal of the Korean Society of Safety
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• v.27 no.6
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• pp.151-159
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• 2012

This study implemented self-management technique to improve supervisory behaviors at a construction site. Self-management in the current study consisted of goal setting, self-monitoring and providing reward for two supervisory behaviors; (1) conducting safety observations of workers safety behavior and (2) providing safe related feedback. Two supervisors severed as participants. An AB within-group design was adopted. After baseline(A), self-management technique was implemented(B). Results suggested that self-management was effective in increasing the two supervisory behaviors. Moreover, the increased supervisory behaviors were associated with improvement in workers' safety performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.636-638
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• 2010

Task scheduling is an integral part of parallel and distributed computing. Extensive research has been conducted in this area leading to significant theoretical and practical results. Stochastic reward nets (SRN) is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, we address task scheduling model using extended timed marked graph, which is a special case of SRNs. And we analyze this model by giving reward measures in SRN.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.51-57
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• 2020

A propeller-based seesaw system is a system that can represent one of axis of four propeller drones and its stabilization has been replaced by intelligent control system instead of often used control methods such as PID and state space. Today, robots are increasingly use machine learning methods to adapt to their environment and learn to perform the right actions. In this article, we propose a Q-learning-based approach to control the stability of a seesaw system with a propeller. From the experimental results that it is possible to fully learn the balance control of a seesaw system by correctly defining the state of the system, the actions to be performed, and the reward functions. Our proposed method solves the seesaw stabilization.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.18-24
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• 2022

This study attempts to provide basic data for the development of manpower maintenance programs by checking the degree of job stress and emotional burnout for nurses working in a university hospital and identifying factors affecting emotional burnout. Data were obtained through a structured questionnaire survey conducted on 187 nurses. The average score for job stress of nurses was 2.50 (range 1 to 4) and emotional burnout was 3.29 (range 1 to 5). The factors affecting emotional burnout were occupational climate, job demand, job insecurity, and lack of reward, which accounted for 44% of explanatory power. In order to reduce the emotional burnout of nurses, the management of medical institutions needs administrative and financial support. Further, it is necessary to improve the organizational culture regarding job assignment through job analysis, employment security, and a performance-based reward system.

• Educational Technology International
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• v.24 no.2
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• pp.115-141
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• 2023

The aim of this research is to understand the perceptions of primary and secondary teachers regarding educational resource sharing systems(ERS) by using a qualitative approach. This study conducted Focus Group Interview(FGI) with 20 primary and secondary school teachers. Interview data were analyzed through inductive content analysis method. The results are as follows. First, teachers placed significant emphasis on high-quality, convenient functions, and reward system for sharing resources. Specifically, teachers identified the necessity for a diverse array of materials, systematic categorization of these resources, and the provision of monetary compensation as essential components. Second, the study participants advocated strategies for revitalizing ERS including enhancing accessibility, constructing user-friendly features, increasing awareness, and establishing a reward system to incentivize the resource sharing. In particular, teachers proposed strategies such as developing mobile-based services and AIdriven data recommendation system. These results provide actionable insights for stakeholders engaged in the design, implementation, and evaluation of resource sharing platforms.