• 제목/요약/키워드: issue diffusion

검색결과 133건 처리시간 0.019초

직장인의 '혼밥' 유지 과정에 대한 질적 연구 (A qualitative study on the process of maintaining the 'eating alone'(honbob) lifestyle)

  • 권혜진;주영아
    • 한국심리학회지 : 문화 및 사회문제
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    • 제24권4호
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    • pp.657-689
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    • 2018
  • 본 연구는 새로운 '혼밥'문화에 대한 중립적인 관점의 이해가 필요하여 직장인들의 '혼밥' 경험과 '혼밥' 유지 과정을 설명하는 실체이론을 개발하고자 하였다. 이를 위해서 서울과 경기지역의 직장에 다니는 직장인이면서 일주일에 전체 식사의 70% 이상 '혼밥'을 하고 5년 이상 '혼밥'을 유지하고 있으며 자발적인 선택으로 '혼밥'을 하고 있는 남녀 10명을 대상으로 심층면접을 실시하였고 수집된 자료는 질적연구 방법 중의 하나인 근거이론방법을 적용하여 자료를 분석하였다. 연구결과, '혼밥'을 유지하는 과정에 대한 패러다임 모형이 도출되었다. '혼밥' 유지 과정에서 인과적 조건은 '조율을 시도하지 않음'으로, 중심현상은 '효율 우선의 욕구를 좇음'으로 드러났다. 맥락적 조건은 '치열한 경쟁 분위기', '조직문화의 약화', '개인주의 문화의 확산'으로, 중재적 조건은 '개인의 성격적 특성과 정서경험', '조직문화 없는 직무특성'으로 나타났다. 중심현상에 대한 참여자의 작용/상호작용 전략은 '내적갈등을 수용하기', '자율적으로 행동하기', '매체를 통해 관계 찾기', '피상적 관계 거리두기'로 나타났다. 결과는 '탐색의 시간을 향유함', '자기돌봄에 충실함', '고독한 편리주의자가 됨', '균형의 필요를 알아차림'으로 드러났다. 핵심범주는 '효율 우선을 따라 자신에게 충실하며 함께함의 중요성을 알아감'으로 밝혀졌다. '혼밥'을 시작하면서 시간효율을 저울질하는 단계, 외부시선에서 자유롭지 못하여 불안한 갈등단계, 자신이 선택한 '혼밥' 행위를 계획하고 합리화하는 조정단계, '혼밥'을 하면서도 '함께함'의 중요성을 알아가는 균형단계를 거치면서 혼밥을 유지하고 있는 것으로 나타났다. 본 연구는 직장인의 '혼밥'경험과 '혼밥' 유지 과정에 대한 통합적 탐색을 토대로 새로운 '혼밥'문화에 대한 이해를 도모하였고 우리 사회가 새로운 '혼밥'문화를 수용하고 다양한 문화의 공존을 인정할 수 있도록 돕고자 하였다.

참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구 (An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective)

  • 강성배;문태수;정윤
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

빅데이터와 딥러닝을 활용한 동물 감염병 확산 차단 (Animal Infectious Diseases Prevention through Big Data and Deep Learning)

  • 김성현;최준기;김재석;장아름;이재호;차경진;이상원
    • 지능정보연구
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    • 제24권4호
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    • pp.137-154
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    • 2018
  • 조류인플루엔자와 구제역 같은 동물감염병은 거의 매년 발생하며 국가에 막대한 경제적 사회적 손실을 일으키고 있다. 이를 예방하기 위해서 그간 방역당국은 다양한 인적, 물적 노력을 기울였지만 감염병은 지속적으로 발생해 왔다. 최근 빅데이터와 딥러닝 기술을 활용하여 감염병의 예측모델을 개발하고자 하는 시도가 시작되고 있지만, 실제로 활용가능한 모델구축 연구와 사례보고는 활발히 진행되고 있지 않은 실정이다. KT와 과학기술정보통신부는 2014년부터 국가 R&D사업의 일환으로 축산관련 차량의 이동경로를 분석하여 예측하는 빅데이터 사업을 수행하고 있다. 동물감염병 예방을 위하여 연구진은 최초에는 차량이동 데이터를 활용한 회귀분석모델을 기반으로 한 예측모델을 개발하였다. 이후에는 기계학습을 활용하여 좀 더 정확한 예측 모델을 구성하였다. 특히, 2017년 예측모델에서는 시설물에 대한 확산 위험도를 추가하였고 모델링의 하이퍼 파라미터를 다양하게 고려하여 모델의 성능을 높였다. 정오분류표와 ROC 커브를 확인한 결과, 기계 학습 모델보다 2017년 구성된 모형이 우수함을 확인 할 수 있었다. 또한 2017에는 결과에 대한 설명을 추가하여 방역당국의 의사결정을 돕고 이해관계자를 설득할 수 있는 근거를 확보하였다. 본 연구는 빅데이터를 활용하여 동물감염병예방시스템을 구축한 사례연구로 모델주요변수값, 이에따른 실제예측성능결과, 그리고 상세하게 기술된 시스템구축 프로세스는 향후 감염병예방 영역의 지속적인 빅데이터활용 및 분석 모델 개발에 기여할 수 있을 것이다. 또한 본 연구에서 구축한 시스템을 통해 보다 사전적이고 효과적인 방역을 할 수 있을 것으로 기대한다.