• Title/Summary/Keyword: Intrinsic Reward

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Differences in Safety Leadership, Safety Climate, Safety Motivation, and Safety Behavior Based on Participation in the Certification System for Exemplary Laboratories in Safety Management (안전관리 우수연구실 인증제 참여 여부에 따른 안전리더십, 안전분위기, 안전동기, 안전행동 차이 분석)

  • Gyeongyun Kim;Jeong-Hun Won
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.58-64
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    • 2023
  • This study aims to analyze the differences between the safety leadership of the laboratory director, safety climate, safety motivation, and safety behavior of research workers based on whether they have participated in the certification system for exemplary laboratories in safety management (CSEL). An online survey was conducted among research workers to analyze the effect of the CSEL. The independent variables used in the survey were participation and non-participation in the CSEL, while the dependent variables were the safety leadership of the laboratory director, safety climate, safety motivation, and safety behavior of research workers. The results demonstrate that the group that participated in the CSEL had statistically significantly higher levels of safety leadership, safety climate, safety motivation, and safety behavior than the one that did not do so. Therefore, it can be concluded that the CSEL has a positive impact on the establishment of an autonomous safety management system in a laboratory by improving the safety culture and safety behavior of research workers. Further, the extrinsic factors, which are subfactors for safety motivation, did not reflect a significant difference between the group that participated in the CSEL and the one that did not. Thus, a reward system for research workers with excellent safety activities should be operated by research institutes since it is necessary to strengthen the intrinsic safety motivation of individual research workers which can be strengthened by compensation. The government should consider measures such as providing research incentives to researchers participated in CSEL.

An Empirical Study on the Relationship between Performance and Behaviors of Participants in the Knowledge Sharing Virtual Community (지식공유 가상커뮤니티에서 사용자의 성과와 행동에 관한 실증연구)

  • Cho, Hurn-Jin;Jahng, Jung-Joo
    • Asia pacific journal of information systems
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    • v.19 no.1
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    • pp.63-82
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    • 2009
  • Virtual community is a social aggregation to attain some goals in an IT-supported virtual space (Lee et al., 2002). As lots of virtual communities generate robust and reliable outputs with low control and low incentive, previous researchers was interested in the questions, "why do they participate?" or "how are they controlled?". But. as Katz (1964) said, the most important part of the high-performing organization is the behaviors of members in the organization. Therefore, this research is to examine the relationship between the performance and the behaviors of participants in the virtual community. First, we propose 6 types of behaviors related to high performance in the virtual community: 'Continuous Attendance', 'Complying with the organizational value, policies, and regulations', 'Protection', 'Suggestion for the improving', 'Self-training', and 'Favorable behavior'. The six types of behaviors are extracted from the framework of Katz (1964) and Brief and Motowidlo (1986). The reason why each behavior is positively related with high-performance is that those who continuously attend have more responsibility than temporary participants do; complying with the rules of a virtual community means that they may make more reliable outcome; 'Protection' is one of the prosocial-behaviors and those who protect the community may concern the benefit of the virtual community when they participate: those who suggest some ideas for improvement may contribute to the virtual community; 'Self-training' behavior means that participants really want to have high quality in their contribution: those who have 'Favorable attitude' consider other members in the virtual community when they participate. Then, we perform an empirical analysis with the survey from participants in the Knowledge service of Naver.com, to show those behaviors are associated with the high-performance. To make the measurement for the six behaviors, we use CVR (content validity ratio) method (Lawshe, 1975), interviewing 12 experts. The dependent variable, performance of participation, is measured by 'ratio of selected answer' given by the Naver.com. We use email survey. We sent 1200 emails to randomly selected participants in the knowledge service and received 282 responses. The results of our empirical analysis show that 4('Continuous Attendance', 'Suggestion for the improving', 'Self-training', 'Favorable attitude') are positively related to the performance, but 2('Complying with the organizational value, policies, and regulations' and 'Protection') are not significant. In line with Fitzgerald (2006), we expect that participants in the virtual community may behave similarly to employees in the off-line firms for the high performance. But 2 behaviors have different results. The reason that the 'Complying with the organizational value' behavior is not sufficiently related to performance is that the motivation of participants is more related to intrinsic pleasure or altruism than external reward. Also, the 'Protection' behavior has no significant relationship with performance, which means that the high-performing participants have little concern about the problems in the community.

Hazard Evaluation of Gas Processes Using a Multi-distinction Equipment Screening Algorithm (다중판별 장치 스크리닝 기법을 이용한 가스공정의 위험성 평가)

  • Yoon En Sup;Park Jeong Su;Ahn Sung Joon;Han Kyounghoon;Yoon Jong Phil;Kim Ku Hwoi;Shin Dongil
    • Journal of the Korean Institute of Gas
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    • v.7 no.1 s.18
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    • pp.1-9
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    • 2003
  • A Multi-distinction Equipment Screening Algorithm (MESA) is proposed. It selectively integrates Dow's F&EI as its process hazard index technique and ESA (Equipment Screening Algorithm) as qualitative hazard classification technique, and retrieves a detailed list of hazardous equipments with the total hazard indices of those equipments. The inherent expert system, which includes the accident scenarios of the equipments and processes and experts' views of them, narrows further down the list of hazardous equipments and recommends only the most notable candidates. Through the case study of distinguishing the hazardous ranking of the equipments of the LPG underground storage process, using the expert system or not, the applicability of MESA has been validated. Taking the characteristics of the process equipments with hazardous ranking in the point of process intrinsic safety, this proposed algorithm would contribute to providing engineers or managers with information on constructing safely devices and mitigation devices and on scheduling emergency response planning.

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Development and Validation of a Fun Perception Scale for the Korean Employees (직장인의 일에 대한 재미지각척도 개발 및 구성타당도 검증)

  • Cheongyeul Park ;Youngmi Sohn ;Chungwoon Kim
    • Korean Journal of Culture and Social Issue
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    • v.17 no.2
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    • pp.241-260
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    • 2011
  • This study was to develop the fun perception scale measuring what conditions employees experience fun feeling in work and to examine the construct validity of it. For this, the pre-studies(open-ended questionnaire, in-depth interviews, literature survey, pre-survey) were conducted to develop the preliminary questions of fun scale. In main study, 250 employees(male: 125, female, 125) were responded to a questionnaire consisted of 40 questions of fun perception scale extracted by pre-studies. The results were as follow. First, through the item analysis, factor analysis and reliability analysis, 7 factors composed of 29 items were extracted: 'self-determination', 'extrinsic reward', 'goal achievement', 'pleasure in the process', 'contribution to the company', 'worthless', 'challenge'. Cronbach's alpha reliability coefficient of each factor was suitable. Secondly, EFA was conducted to test the construct validity of fun scale with AMOS 16.0. Several goodness of fit indexes were used to assess model fit: X2/df, TLI, CFI, RMSEA. The results were revealed that all the indexes were acceptable with no additional modification. Based on these findings, the theoretical and the practical implications of fun perception scale were discussed.

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