• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.385-393
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• 2022

In the study of the mechanism of labor motivation as a determinant of economic security of the enterprise in competitive conditions, it was found that motivation is determinant in creating the conditions for production and ensuring the active functioning of the enterprise. It is substantiated that the motivational mechanism is the presence of a system of levers, incentives, measures and other elements for economic and administrative incentives for employees, which are used for incentives to work, increase productivity and safety, and more. The motivational mechanism plays an important role in ensuring the economic security of the enterprise and at the same time is a lever to increase competitiveness in the market. The functions of the mechanism of labor motivation are singled out, among which: explanatory-substantiating, regulative, communicative, socialization, regulating. The stages of occurrence of the motive for the employee are classified. The interrelation of motives and incentives in the mechanism of labor motivation as determinants of economic security of the enterprise in competitive conditions is proved. It is proved that the mechanism of labor motivation as a determinant of economic security of the enterprise in competitive conditions should be aimed at: assistance in forming and achieving goals and objectives of the enterprise and achieving balance and equilibrium of economic goals and social responsibility of the enterprise; ensuring close cooperation between management and employees of the enterprise; focus on building a flexible mechanism; transition to a democratic style of governance and involvement of employees in decision-making.

• 한국멀티미디어학회논문지
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• 제25권7호
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• pp.973-982
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• 2022

As a new marketing tool, gamification design has been used in marketing practice by e-commerce platforms, aiming to motivate consumers to participate. Based on this, by sorting out relevant domestic and foreign literature, analysis of actual business cases, in-depth interviews with users, experiments and data analysis, this study extracts and describes in detail the elements of the e-commerce platform gamification incentive mechanism. Draw conclusions through research: (1) The incentive mechanism of gamification design of e-commerce platform contains four main dimensions : The richness of symbols, The fun of gamification, The contagiousness of Social and The seduction of achievement. (2) The four elements are closely related, and these can work on a system at the same time and have significant mutual effects. (3) Achievement and fun can bring intrinsic motivation to consumers, while sociability and symbols can bring external motivation to consumers and promote internal motivation through external motivation. (4) The seduction of achievement and the richness of symbol are most closely related.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.264-266
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• 2009

A skill is defined as the special ability to do something well, especially as acquired by learning and practice. To learn a skill, a Bayesian network model for representing the skill is first learned. We will regard the Bayesian network for a skill as an affordance. We propose a soft Behavior Motivation(BM) switch as a method for ordering affordances to accomplish a task. Then, a skill is constructed as a combination of an affordance and a soft BM switch. To demonstrate the validity of our proposed method, some experiments were performed with GENIBO(Pet robot) performing a task using skills of Search-a-target-object, Approach-a-target-object, Push-up-in front of -a-target-object.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2006년도 추계학술대회
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• pp.355-366
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• 2006

Knowledge sharing is an essential component of effective knowledge management, however, individuals' knowledge does nottransform easiIy into organizational knowledge even with the implementation of knowledge management program, rather , individuals tend to hoard knowledge for various reasons. this article is to explore what factors have influenced the knowledge sharing intent ion and knowledge sharing mechanism. Althoughseveral factors have been identified to help create a high performing knowledge organization, including leadershlp, organizational culture and so on, the major objective of the research. is to explore what kinds of individuals' factors have influence on knowledge sharing intent ion and knowledge sharing mechanism by knowledge types. This paper applied personality trait ability, extrinsic motivation, intrinsic motivation structure to explain knowledge sharing in organization.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.496-498
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• 2004

An action-selection-mechanism is proposed to deal with sequential behaviors, where associations between some of stimulus and behaviors will be learned by a shortest-path-finding-based reinforcement team ins technique. To be specific, we define behavioral motivation as a primitive node for action selection, and then sequentially construct a network with behavioral motivations. The vertical path of the network represents a behavioral sequence. Here, such a tree fur our proposed ASM can be newly generated and/or updated. whenever a new sequential behaviors is learned. To show the validity of our proposed ASM, some experimental results on a "pushing-box-into-a-goal task" of a mobile robot will be illustrated.

• 전자공학회논문지SC
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• 제46권4호
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• pp.7-16
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• 2009

로봇이 지능적이고 합리적으로 임무를 수행하기 위해서는 다양한 솜씨(skill)가 필요하다. 우리는 솜씨를 생성하기 위해 우선 행동유발성(affordance)을 학습한다. 행동유발성은 행동을 유발하게 하는 물체 또는 환경의 성질로써 솜씨를 생성하는데 유용하게 사용될 수 있다. 로봇이 수행하는 대부분의 임무는 순차적이고 목표 지향적인 행동을 필요로 한다. 그러나 행동유발성만을 이용하여 이러한 임무를 수행하는 것은 쉽지 않다. 이를 위해 우리는 행동유발성과 목표 지향적 요소를 반영하기 위한 소프트 행동동기 스위치(soft behavioral motivation switch)를 이용하여 솜씨를 생성한다. 솜씨는 현재 인지된 정보와 목표 지향적 요소를 결합하여 행동동기를 생성한다. 여기서 행동동기는 목표 지향적인 행동을 활성화시키기 위한 내부 상태를 말한다. 또한, 로봇은 임무 수행을 위해 순차적인 행동 선택을 필요로 한다. 우리는 목표 지향적이고 순차적인 행동 선택이 가능하도록 솜씨를 이용하여 솜씨 네트워크(skill network)를 생성한다. 로봇은 솜씨 네트워크를 이용하여 목표 지향적이고 순차적인 행동을 선택할 수 있다. 본 논문에서는 베이지안 네트워크를 이용한 행동유발성 모델링 및 학습 방법, 행동유발성과 소프트 행동동기 스위치를 이용한 솜씨 및 솜씨 네트워크 생성 방법, 마지막으로 솜씨 네트워크를 이용한 목표 지향적 행동 선택 방법을 제안한다. 우리의 방법을 증명하기 위해 제니보(애완 로봇)를 이용한 교시 기반 학습 방법을 통해 "물체 찾기", "물체에 접근하기", "물체의 냄새 맡기", 그리고 "물체를 발로 차기" 행동유발성들을 학습하였다. 또한, 이들을 이용하여 솜씨 및 솜씨 네트워크를 생성하여 제니보에 적용하고 실험하였다.

• 한국병원경영학회지
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• 제7권3호
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• pp.102-120
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• 2002

The purpose of study is to understand human-technology integration mechanism by using the study model that takes the core concept and motivation assumptions of technology acceptance model(TAM) into account. This study identifies three motivation mechanisms in adopting or using computer mediated communication(CMC) tool for work. The mechanism comprises with extrinsic, extrinsic motivation, and subjective norm pressure. One hospital with 430 beds and 367 human power was identified and we administered the questionnaire during their work hours. There is 32.4% response rate. The fitting index of the study model surpass the acceptable level, GFI = .980 for none-users, GFI =.986 for users, NNFI = .973 for none-users, and NNFI = .989 for users. In the case of none-users, perceived ease of use determines perceived usefulness that explains behavioral intention to use. As a result, adotpers' usage motivation is based on extrinsic motivation that does not consider their affective factor, attitude, in use of CMC. Users considers their attitudes as the mediating factor of all behavioral beliefs for using CMC continually. Thus, users are likely to depend their adoption behaviors on their affective factor. Moreover, users' behavioral intention is subject to pressures of use from other persons who are important to them, such as supervisor, director, or boss. Achieving human-technology integration in a hospital may cause cost saving and work efficiency. However, the success of information system should base on a profound understanding of employees' adoption behaviors in rejecting, adopting, using, continually using of IT, and organization culture in using IT.

• 한국조리학회지
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• 제23권5호
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• pp.34-47
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• 2017

This study is designed to figure out the effects of major selection motivation on career efficacy and major satisfaction of college students majoring in culinary and foodservice management. To achieve this purpose, a survey was carried out to 209 college students. The findings showed that their major selection had a significant effect on their career efficacy and major satisfaction. But the mediating effect of their career efficacy as a mediator - which improves their major selection and major satisfaction - was partially adopted. Consequently, their internal and external participation motivation for their major selection is a facilitating mechanism to maximize their major satisfaction, and it is necessary to limit the use as a mediating variable of their career efficacy.

• 한국게임학회 논문지
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• 제8권1호
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• pp.79-90
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• 2008

본 논문에서는 동기 기반의 계층적 행동 계획 시스템을 제안한다. 가상 시뮬레이션 게임 환경에서 에이전트는 행동 계획 시스템을 통해 적합한 행동을 선택하게 된다. 행동 선택 시스템은 동기를 추출하고 목표를 선택하고 행동을 생성하고 최적화를 수행한다. 동기를 평가할 때 갑작스럽게 발생하거나 누적된 이벤트에 대해 계산한다. 동기를 선택할 때는 확률 분포를 사용하여 무작위로 선택한다. 계층적 목표 트리를 탐색한 후에 목표를 실행할 수 있다. 행동들을 비교한 후 가장 적합한 행동을 선택하게 된다. 선택을 할 때 안전도 값과 만족도 값을 비교하여 최적화된 행동을 선택한다. 본 연구에서 제안한 시스템을 식당경영 게임에 적용했다.

• International Journal of Control, Automation, and Systems
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• 제6권6호
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• pp.904-914
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• 2008

An action-selection-mechanism(ASM) has been proposed to work as a fully connected finite state machine to deal with sequential behaviors as well as to allow a state in the task program to migrate to any state in the task, in which a primitive node in association with a state and its transitional conditions can be easily inserted/deleted. Also, such a primitive node can be learned by a shortest path-finding-based reinforcement learning technique. Specifically, we define a behavioral motivation as having state-dependent value as a primitive node for action selection, and then sequentially construct a network of behavioral motivations in such a way that the value of a parent node is allowed to flow into a child node by a releasing mechanism. A vertical path in a network represents a behavioral sequence. Here, such a tree for our proposed ASM can be newly generated and/or updated whenever a new behavior sequence is learned. To show the validity of our proposed ASM, experimental results of a mobile robot performing the task of pushing- a- box-in to- a-goal(PBIG) will be illustrated.