• 제목/요약/키워드: Relational Energy

검색결과 38건 처리시간 0.027초

LMX가 창의성에 미치는 영향: 관계에너지와 창의과정몰입의 연속다중매개효과를 중심으로 (The Effects of LMX on Creativity: The Serial Multiple Mediating Effects of Relational Energy and Creative Process Engagement)

  • 리웨이;전지영;박호환
    • 한국콘텐츠학회논문지
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    • 제22권10호
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    • pp.309-319
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    • 2022
  • 본 연구는 조직에서 창의성이 향상되는 기제에 관한 연구로서 리더-부하 교환관계(LMX)가 창의성에 미치는 영향에서 관계에너지와 창의과정몰입의 연속다중매개역할을 검증하고자 하였다. 가설 검증을 위해 중국에서 근무하고 있는 200명의 직장인을 대상으로 하여 설문조사를 실시하였고, 그 중 유효한 154명의 자료를 분석하였다. 분석은 PROCESS 매크로의 model 6을 사용하였다. 분석 결과는 첫째, LMX는 창의성에 정(+)의 영향을 미쳤다. 둘째, 관계에너지는 LMX와 창의성 간의 관계를 매개하였다. 셋째, 창의과정몰입은 LMX와 창의성 간의 관계를 매개하였다. 넷째, 관계에너지와 창의과정몰입은 LMX와 창의성 간의 관계를 연속으로 매개하였다. 이러한 연구결과를 토대로 본 연구의 시사점과 한계점을 제시하고 조직에서 창의성을 향상시키기 위한 방안에 대해 논의하였다.

관계적에너지와 회복탄력성이 직무재창조를 통하여 개인직무성과에 미치는 영향 연구 (A study on the Effect of Relational Energy and Resilience on Individual Job Performance through Job Crafting)

  • 남은우;선은정;서영욱
    • 한국콘텐츠학회논문지
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    • 제22권2호
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    • pp.529-544
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    • 2022
  • 4차산업혁명시대에 글로벌팬데믹을 맞이함에 따라 기업의 경영환경은 급격한 변동성과 불확실성에 휩싸였다. 특히, 유연근무제의 확산으로 조직이 높은 경쟁력을 갖기 위해서는 조직구성원과의 관계관리와 자기주도적 직무재창조가 중요한 핵심 자원으로 인식되고 있다. 본 연구는 기업 조직내 관계적 에너지와 회복탄력성이 직무재창조에 어떠한 영향을 미치는지 알아보고, 직무재창조가 개인직무성과에 미치는 영향에 대해 검증하고자 한다. 실증연구를 위해 일반기업 직원을 대상으로 400개의 유효한 응답에 대하여 SPSS 26.0과 Smart PLS 3.0으로 분석하였다. 분석결과, 첫째, 관계적 에너지가 과업재창조에는 정(+)의 영향을 미치지 않는 것으로 확인되었다. 둘째, 관계적에너지는 관계재창조와 인지재창조에 각각 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 회복탄력성은 직무재창조를 구성하는 과업재창조와 관계재창조, 인지재창조 모두에게 정(+)의 영향을 미치는 것으로 나타났다. 넷째, 직무재창조는 개인직무성과에 정(+)의 영향을 미치는 것으로 나타났다. 이러한 연구결과를 바탕으로 학문적, 실무적 시사점을 도출하고 후속연구자들과 이해관계자들에게 실질적인 도움을 주고자 한다.

하둡기반 빅데이터 시스템을 이용한 스마트그리드 전력데이터 분석 (Analyzing Smart Grid Energy Data using Hadoop Based Big Data System)

  • 조영탁;이원진;이인규;온병원;최중인
    • 전기학회논문지P
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    • 제64권2호
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    • pp.85-91
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    • 2015
  • With the increasing popularity of Smart Grid infrastructure, it is much easier to collect energy usage data using AMI (Advanced Measuring Instrument) from residential housing, buildings and factories. Several researches have been done to improve an energy efficiency by analyzing the collected energy usage data. However, it is not easy to store and analyze the energy data using a traditional relational database management system since the data size grows exponentially with an increasing popularity of Smart grid infrastructure. In this paper, we are proposing a Hadoop based Big data system to store and analyze energy usage data. Based on our limited experiments, Hadoop based energy data analysis is three times faster than that of a relational database management system based approach with the current system.

Relational Benefits, Alternative Attractiveness and Customer Loyalty: Implication for Service Distribution Channels

  • LEE, Kwang-Hoon;OU, Chen-Qi;CHOI, Choong-Ik
    • 유통과학연구
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    • 제19권1호
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    • pp.5-15
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    • 2021
  • Purpose: This study explores the types of relational benefits that generate loyalty to room-sharing services among Chinese customers based on the relationship marketing literature. The study also examines the moderating effect of alternative attractiveness on this relationship. Research design, data and methodology: Based on research hypotheses, questionnaires with items measuring the proposed constructs in three dimensions, including relational benefits, alternative attractiveness, and customer loyalty, were designed to test the hypotheses. Data were collected via an online questionnaire of 220 room-sharing service customers in China. Results: Results verify the effects of relational benefits on customers' loyalty to room-sharing services and the mediating effect of alternative attractiveness. More specifically, confidence, social, and safety benefits positively affect customer loyalty to room-sharing services, and alternative attractiveness moderates only the effect of social benefits. Conclusions: The results suggest that room-sharing service providers should concentrate on providing confidence, social, and safety benefits to maintain long-term relationships with customers. This study also provides practical implication for building relationships between channel members in service distribution channels. The study concludes that without customer relationships marketing for managing collaborative and social communication channels, the entire distribution channel might lose out eventually.

Multi-response optimization of crashworthiness parameters of bi-tubular structures

  • Vinayagar, K.;Kumar, A. Senthil
    • Steel and Composite Structures
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    • 제23권1호
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    • pp.31-40
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    • 2017
  • This article aims at presenting multi objective optimization of parameters that affect crashworthiness characteristics of bi-tubular structures using Taguchi method with grey relational analysis. To design the experiments, the $L_9$ orthogonal array has been used and based on that, the inner tubes have been fabricated by varying the three influence factors such as reference diameter, length difference and numbers of sides of the polygon with three levels, but all the outer cylinders have the same diameter and length 90 mm and 135 mm respectively. Then, the tailor made bi-tubular steel structures were subjected into quasi static axial compression. From the test results it is found that the crushing behaviors of bi-tubular structures with different combinations were fairly significant. The important responses (crashworthiness indicators) specific energy absorption and crush force efficiency have been evaluated from load - displacement curve. Finally optimal levels of parameters were identified using grey relational analysis, and significance of parameters was determined by analysis of variance. The optimum crashworthiness parameters are reference diameter 80 mm, length difference 0 mm and number of sides of polygon is 3, i.e., triangle within the selected nine bi-tube combinations.

Grey relational analysis를 이용한 알루미늄 합금의 레이저-아크 하이브리드 용접조건 최적화 (Optimizing welding parameters of laser-arc hybrid welding onto aluminum alloy via grey relational analysis)

  • 김항래;박영우;이강용;이명호;정우영;김선현
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2006년 추계학술발표대회 개요집
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    • pp.253-255
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    • 2006
  • Grey relational analysis has been carried out to develop a new approach for optimization of Nd:YAG laser and MIG hybrid welding parameters. The quality of welded material depends on welding parameters. The parameters chosen for current study include wire type, shielding gas, laser energy, laser focus, traveling speed, and wire feed rate. The welding experiments were performed on 6K21-T4 aluminum alloy sheet. Functional demands on products may vary widely depending on their use. The ultimate tensile stress, width, and penetration were chosen as the optimization criterion. Practice based on an orthogonal array which is following Taguchi's method has been progressed. Base on the results of grey relational analysis, the optimal process parameters were obtained. This integrated work was judged and it is observed that the results obtained by using the optimal parameters are much improved compared to those obtained through initial setting.

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An Approach to Automatic Generation of Fourth Normal Form for Relational Database

  • Park, Sung-Joo;Lee, Young-Gun;Cho, Hyung-Rae
    • 한국경영과학회지
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    • 제13권1호
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    • pp.51-64
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    • 1988
  • A new approach to the logical design of 4NF database shceme, which can be easily automated, is proposed. The main features of the approach are : introduction of a single attribute right hand side, extension of the concept of independent relations, semantic analysis, and adaoption of dependency matrix. The underlying viewpoints of functional relationships of the approach are different from Fagin's in that we distinguish functional and multivalued dependency in terms of cardinality. An algorithm for automatic generation of fourth normal form is presented and implemented.

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빅데이터 기반의 수요자원 관리 시스템 개발에 관한 연구 (A Study on Demand-Side Resource Management Based on Big Data System)

  • 윤재원;이인규;최중인
    • 전기학회논문지
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    • 제63권8호
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    • pp.1111-1115
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    • 2014
  • With the increasing interest of a demand side management using a Smart Grid infrastructure, the demand resources and energy usage data management becomes an important factor in energy industry. In addition, with the help of Advanced Measuring Infrastructure(AMI), energy usage data becomes a Big Data System. Therefore, it becomes difficult to store and manage the demand resources big data using a traditional relational database management system. Furthermore, not many researches have been done to analyze the big energy data collected using AMI. In this paper, we are proposing a Hadoop based Big Data system to manage the demand resources energy data and we will also show how the demand side management systems can be used to improve energy efficiency.

SNS 빅데이터 분석을 통한 재생에너지 동향 및 관계구조 (Renewable energy trends and relationship structure by SNS big data analysis)

  • 김종민
    • 융합보안논문지
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    • 제22권1호
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    • pp.55-60
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    • 2022
  • 본 연구는 재생에너지와 관련된 에너지 분야의 동향과 관계구조를 분석하는 것이다. 이를 위해 본 연구에서는 SNS Data를 포한한 Big Data를 중점으로 분석하였다. SNS는 Instragram 플랫폼을 활용하여 재생에너지 해시태그들을 수집하였으며, 빅데이터 분석, 소셜네트워크 분석을 위한 워드임베딩 방법으로 사용하였고, 본 연구에서 도출된 결과를 토대로 재생에너지 산업의 발전에 활용할 수 있을 것으로 기대된다.

Conceptual Data Modeling on the KRR-1&2 Decommissioning Database

  • Park, Hee-Seoung;Park, Seung-Kook;Lee, Kune-Woo;Park, Jin-Ho
    • Nuclear Engineering and Technology
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    • 제34권6호
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    • pp.610-618
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    • 2002
  • A study of the conceptual data modeling to realize the decommissioning database on the HRR-1&2 was carried out. In this study, the current state of the abroad decommissioning database was investigated to make a reference of the database. A scope of the construction of decommissioning database has been set up based on user requirements. Then, a theory of the database construction was established and a scheme on the decommissioning information was classified . The facility information, work information, radioactive waste information, and radiological information dealing with the decommissioning database were extracted through interviews with an expert group and also decided upon the system configuration of the decommissioning database. A code which is composed of 17 bit was produced considering the construction, scheme and information. The results of the conceptual data modeling and the classification scheme will be used as basic data to create a prototype design of the decommissioning database.