• 제목/요약/키워드: Task variety

검색결과 286건 처리시간 0.03초

자원봉사활동 직무특성이 활동만족도와 지속의지에 미치는 효과 (Effect on the Work Satisfaction and Continuance Will by Volunteer's Job Characteristics)

  • 강종수
    • 한국콘텐츠학회논문지
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    • 제12권2호
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    • pp.322-330
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    • 2012
  • 본 연구는 Hackman and Oldham의 직무특성이론에 근거하여 대학생을 대상으로 자원봉사활동 직무특성이 활동만족도와 지속의지에 미치는 효과를 분석하였다. 이를 위해 강원도내 6개 대학의 대학생 261명을 대상으로 설문조사를 실시하여 자료를 분석하였다. 연구 결과 대학생의 자원봉사참가율은 평균 71.6%로 나타났으며, 자원봉사활동의 직무특성과 활동만족도, 지속의지는 중간값 보다 낮은 수준으로 나타났다. 자원봉사 활동만족도에 미치는 직무특성의 효과에서는 기술다양성과 과업정체성, 피드백이 유의한 수준에서 영향을 미치는 것으로 나타났고, 지속의지에 대해서는 자율성을 제외한 기술다양성, 과업정체성, 과업중요성, 피드백 모두가 영향을 미치는 것으로 나타났다. 또한 상관분석을 통해 자원봉사 활동만족도가 높으면 지속의지 역시 높아지는 것을 알 수 있다. 따라서 자원봉사관리자는 자원봉사활동의 직무를 직무특성이론에 기초하여 설계(design)함으로써 의미충만감이나 책임감, 결과의식을 높여서 최종적으로는 자원봉사를 통한 동기부여와 성과 향상으로 이어져야 할 것이다.

인터넷전문은행의 지속 사용 의도에 영향을 미치는 요인에 대한 연구: 업무-기술 적합성 이론을 활용하여 (A Study Factors Affecting Continuance Intention of Internet Only Bank: Using Task-Technology Fit Theory)

  • 유혜인;안재영;이중정
    • 한국전자거래학회지
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    • 제23권3호
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    • pp.111-128
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    • 2018
  • 오늘날 금융 서비스 산업의 패러다임은 모바일 뱅킹으로 이동하고 있으며 각 금융 기업은 다양한 모바일 뱅킹 서비스를 제공하고 있다. 모바일 뱅킹 서비스 혁신으로 인터넷전문은행이 출범하였지만, 출범 후 증가한 가입자 수에 비해 실제 이용자 수는 이에 미치지 못하고 있다. 따라서 본 연구는 인터넷전문은행 이용자의 지속 사용 의도에 영향을 미치는 요인을 업무-기술 적합(Task-Technology Fit; TTF) 이론을 적용하여 알아보고자 한다. 본 연구 수행을 위해 인터넷전문은행 서비스 사용 경험이 있는 사람들을 대상으로 설문을 실시한 후 측정 모형 분석과 구조방정식 모형 테스트를 수행하였다. 연구 결과 기술 특성과 업무-기술 적합성, 업무-기술 적합성과 지속 사용 의도는 유의미한 상관관계를 갖는 것으로 확인되었다. 본 연구 결과를 통해 인터넷전문은행 운영자에게 이용자 확보 및 유지 방안의 시사점 제공을 기대한다.

과업기술적합도 모형을 활용한 모바일 간편결제 서비스 이용의도의 영향요인에 대한 실증연구 (An Empirical Study on Influencing Factors of Intention to Use Third-Party Mobile Payment Services : Applying the Task-Technology Fit Model)

  • 김소담;임재익;양성병
    • 한국IT서비스학회지
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    • 제15권2호
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    • pp.185-201
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    • 2016
  • Recently, due to the rapid development of IT (information technologies), a variety of attempts have been made to incorporate IT into other fields such as finance and manufacturing. Among them, a novel concept in the spotlight is FinTech, which is a combined word of finance and technology. FinTech is a line of business demonstrating an innovation development through IT in the financial service industry. One of the most popular types of FinTech is a third-party mobile payment service (MPS), the examples of which can be easily found in South Korea while the actual use of the service is relatively inactive. Therefore, the main purpose of this paper is to empirically investigate influencing factors of intention to use the third-party MPS. Based on individual characteristics and the task-technology fit model, the research model of the study is developed, with switching cost included as a moderating variable. The results of structural equation model testing with 316 potential users of Kakao Pay, one of the most popular business models of the third-party MPS, show that innate innovativeness, task characteristics, and technology characteristics are positively influencing task-technology fit, which in turn significantly affects intention to use the third-party MPS. The negative moderating role of switching cost is also found. These results could help managers develop better strategies to motivate potential users to participate in their services.

Effects of Perception of Job Characteristics on Innovation Behavior and Innovation Resistance

  • YANG, Hoe-Chang
    • 한국프랜차이즈경영연구
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    • 제11권4호
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    • pp.7-15
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    • 2020
  • Purpose: The purpose of this study is to clarify the role of decoupling between job characteristics, innovation behavior, and innovation resistance in order to seek ways for companies to survive and grow continuously through innovation activities in various uncertain situations. Research design, data and methodology: A total of 263 valid questionnaires were collected and used for analysis for employees working at the company. For the analysis, simple and multiple regression analysis, and 3-step mediated regression analysis were conducted using SPSS 24.0 and AMOS 24.0. Results: First, it was found that skill variety, task identity, autonomy, and feedback increase decoupling, and decoupling increases innovation resistance. In addition, it was confirmed that decoupling had a mediating effect between job characteristics and innovation resistance excluding task significance. Finally, it was found that task significance and feedback increase innovation behavior, and decoupling and task identity increase innovation resistance, but feedback can alleviate innovation resistance. Conclusions: As a result of the analysis, the fact that job characteristics excluding task importance have a positive effect on decoupling means that there are two sides of job characteristics perceived by employees. In other words, it means that the results of analysis on the jobs that the company assigns to its members may not be effective. In addition, decoupling, a phenomenon that seems to be accepting on the outside, but perceives that it is negative on the inside, means that there is a possibility to reject innovation. Therefore, prior to carrying out innovation activities, companies should give clear job specifications and meanings for the job and give them autonomy when assigning jobs to their members. In order to provide appropriate feedback, the company must design, operate, and provide feedback. It was found that there was a need to review the overall effectiveness. In addition, efforts such as strengthening corporate-level fairness, maintaining psychological contracts, and realizing authentic leadership should be preceded to reduce decoupling.

Knowledge Distributed Robot Control Framework

  • Chong, Nak-Young;Hongu, Hiroshi;Ohba, Kohtaro;Hirai, Shigeoki;Tanie, Kazuo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1071-1076
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    • 2003
  • In this work, we propose a new framework of robot control for a variety of applications to our unstructured everyday environments. Programming robots can be a very time-consuming process and seems almost impossible for ordinary end users. To cope with this, this work is to provide a software framework for building robot application programs automatically, where we have robots learn how to accomplish a commanded task from the object. An integrated sensing and computing tag is embedded into every single object in the environment. In the robot controller, only the basic software libraries for low-level robot motion control are provided from the robot manufacturer. The main contributions of this work is to develop a server platform that we call Omniscient Server that generates the application programs and send them to the robot controller through the network. The object-related information from the object server merges into robot control software to generate a detailed application program based on the task commands from the human. We have built a test bed and demonstrated that a robot can perform a common household task within the proposed framework.

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편측 뇌손상 환자에서 특정 과제에 한정된 동측 상지의 운동 결함 분석 (Ipsilateral Motor Deficit during Three Different Specific Task Following Unilateral Brain Damage)

  • 권용현;김중선
    • The Journal of Korean Physical Therapy
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    • 제17권2호
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    • pp.67-87
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    • 2005
  • Impaired sensorimotor function of the hand ipsilateral to a unilateral brain damage has been reported in a variety of motor task. however, it is still the controversial issue because of the difficulty of detection in clinical situation, patients' variability(time after onset, contralateral upper extremity severity, other cognitive functions including apraxia), and the performed various motor task. The purpose of this study is to determine the presence of ipsilateral motor deficit following unilateral brain damage in three different specific tasks(hand tapping, visual tracking and coin rotation) compared with healthy age-sex matched control group using the same hand and to investigate the lateralized motor control in each hemispheric function. Findings revealed that stroke patients with unilateral brain damage experienced difficulties with rapid-simple repetitive movement, visuomotor coordination, complex sequencing movement on ipsilateral side. Also, Comparison of the left-hemispheric stroke groups and the right-hemispheric stroke groups revealed that patients with a left-hemisphere damage tended to be more variable in performing all of the three tasks. These results show that stroke patient with left hemisphere damage has more ipsilateral motor deficit, and the left hemisphere contributes to the processing of motor control that necessary for the executing actions with ipsilateral hand.

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Development of a System Observing Worker's Physiological Responses and 3-Dimensional Biomechanical Loads in the Task of Twisting While Lifting

  • Son, Hyun Mok;Seonwoo, Hoon;Kim, Jangho;Lim, KiTaek;Chung, Jong Hoon
    • Journal of Biosystems Engineering
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    • 제38권2호
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    • pp.163-170
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    • 2013
  • Purpose: The purpose of this study is to provide analysis of physiological, biomechanical responses occurring from the operation to lifting or twist lifting task appears frequently in agricultural work. Methods: This study investigated the changes of physiological factors such as heart rate, heart rate variability (HRV) and biomechanical factors such as physical activity and kinetic analysis in the task of twisting at the waist while lifting. Results: Heart rates changed significantly with the workload. The result indicated that the workload of 2 kg was light intensity work, and the workload of 12 kg was hard intensity work. Physical activity increased as the workload increased both on wrist and waist. Besides, stress index of the worker increased with the workload. Dynamic load to herniated discs was analyzed using inertial sensor, and the angular acceleration and torque increased with the workload. The proposed measurement system can measure the recipient's physiological and physical signals in real-time and analyzed 3-dimensionally according to the variety of work load. Conclusions: The system we propose will be a new method to measure agricultural workers' multi-dimensional signals and analyze various farming tasks.

원발성 서자진전 A형 1예 (A Case of Primary Writing Tremor Type A)

  • 서만욱;김지성
    • Annals of Clinical Neurophysiology
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    • 제2권2호
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    • pp.130-134
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    • 2000
  • 저자들은 최근 글을 쓰는 자세에서는 진전이 나타나지 않고 글을 쓸 때에만 진전이 나타나는 전형적인 원발성 진전 A형을 경험하였기에 이를 보고하며, 본 증례를 통해 원발성 서자진전 A형은 표현 양상으로는 서로 다르나 병태생리적으로 서자경련과 유사한 질환임을 추정해 볼 수 있었다.

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실내용 서비스 로봇을 위한 거리 센서 기반의 통합 자율 주행 시스템 개발 (Development of Range Sensor Based Integrated Navigation System for Indoor Service Robots)

  • 김건희;김문상;정우진
    • 제어로봇시스템학회논문지
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    • 제10권9호
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    • pp.785-798
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    • 2004
  • This paper introduces the development of a range sensor based integrated navigation system for a multi-functional indoor service robot, called PSR (Public Service Robot System). The proposed navigation system includes hardware integration for sensors and actuators, the development of crucial navigation algorithms like mapping, localization, and path planning, and planning scheme such as error/fault handling. Major advantages of the proposed system are as follows: 1) A range sensor based generalized navigation system. 2) No need for the modification of environments. 3) Intelligent navigation-related components. 4) Framework supporting the selection of multiple behaviors and error/fault handling schemes. Experimental results are presented in order to show the feasibility of the proposed navigation system. The result of this research has been successfully applied to our three service robots in a variety of task domains including a delivery, a patrol, a guide, and a floor cleaning task.

Genetic Algorithm Application to Machine Learning

  • Han, Myung-mook;Lee, Yill-byung
    • 한국지능시스템학회논문지
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    • 제11권7호
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    • pp.633-640
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    • 2001
  • In this paper we examine the machine learning issues raised by the domain of the Intrusion Detection Systems(IDS), which have difficulty successfully classifying intruders. There systems also require a significant amount of computational overhead making it difficult to create robust real-time IDS. Machine learning techniques can reduce the human effort required to build these systems and can improve their performance. Genetic algorithms are used to improve the performance of search problems, while data mining has been used for data analysis. Data Mining is the exploration and analysis of large quantities of data to discover meaningful patterns and rules. Among the tasks for data mining, we concentrate the classification task. Since classification is the basic element of human way of thinking, it is a well-studied problem in a wide variety of application. In this paper, we propose a classifier system based on genetic algorithm, and the proposed system is evaluated by applying it to IDS problem related to classification task in data mining. We report our experiments in using these method on KDD audit data.

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