• 제목/요약/키워드: Operational effect

검색결과 968건 처리시간 0.026초

학원의 에듀테크특성과 유·무형적서비스가 학부모의 재수강의도에 미치는 영향: 라포형성행동의 조절효과 (The Impact of Edu-Tech and Tangible and Intangible Services of Private Institutes on parents' Intention for Re-Enrollment: The Moderating Effect of Rapport-Building Behavior)

  • 전지연;하태관
    • 벤처창업연구
    • /
    • 제19권4호
    • /
    • pp.127-139
    • /
    • 2024
  • 본 연구는 에듀테크특성과 유·무형의 교육서비스가 학원의 경영성과와 직접적 관련이 있는 재수강의도에 미치는 영향에 관한 연구이다. 연구 결과를 근거로 학원의 재수강의도와 경영성과 향상 방안 제시를 목적으로 연구하였다. 사교육은 공교육의 한계를 보완하며 지속적으로 성장하며, 학부모의 의존도를 높여가고 있다. 본 연구는 정보통신기술의 발달과 함께 교육현장에서 활용도를 높여가고 있는 에듀테크특성과 무형적서비스 및 유형적서비스 요인들이 재수강의도에 영향을 미칠 것이라는 가설과 각 요인들이 재수강의도에 영향을 미치는데 있어 학부모와의 라포형성행동이 조절효과가 있을 것이라는 가설을 검증하였다. 가설 검증결과, 에듀테크특성 중 콘텐츠와 무형적서비스인 신뢰성과 공감성 그리고 유형적서비스인 유형성과 지불접근성이 재수강의도에 긍정적인 영향을 주는 것으로 나타났다. 학원의 교육서비스와 재수강의도 사이에서 라포형성행동이 조절효과를 나타낼 것이라는 가설은 무형적서비스의 공감성과 유형적서비스의 유형성 두 가지 요인이 채택되었다. 가설 검증 결과를 바탕으로 본 연구에서는 학원의 경영성과 향상을 위한 세 가지 방안을 제시하였다. 첫째, 에듀테크특성의 개선과 관리 차원에서 에듀테크의 도입 및 콘텐츠의 최신화와 운영의 안정성 확보를 제안하였다. 둘째, 무형적서비스의 개선과 관리 차원에서 강사의 자질과 역량 향상을 위한 채용관리와 공신력 있는 기관을 통한 지속적 교육으로 전문성 유지 그리고 교육 프로그램의 질적 수준 향상을 바탕으로 한 학생 수준별 교육을 제안하였다. 셋째, 유형적서비스의 개선과 관리 차원에서 적절한 수강료 책정과 온라인, 모바일, 카드, 계좌이체 등 장소와 시간에 구애함 없는 다양한 수강료 납부 방법의 마련과 학습에 집중할 수 있는 인테리어와 편의시설 구비를 제안하였다. 또한 라포형성행동의 조절효과를 고려하여 유형성의 개선과 관리에 있어 비용을 수반하는 개선이나 관리도 필요하지만 라포형성을 통해 유형성의 수준이 높다고 느끼게 하는 것도 중요함을 주장하였다. 또한 정보통신기술 기반의 에듀테크의 중요성이 증가하고 있는 만큼 LLM 기반의 AI기술, AR·VR을 적용한 메타버스 환경구축 등 혁신적 기술을 도입하고자 하는 벤처정신을 갖춘 학원에 대한 정부의 기술지원, 벤처인증제도 지원과 같은 다양한 지원책이 필요하다. 본 연구가 교육현장에서 개선하고 관리하여야 할 항목과 방법을 구체적으로 제시함으로써 학원의 경영성과 개선에 도움이 될 것이라 기대한다.

  • PDF

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
    • /
    • 제20권3호
    • /
    • pp.139-166
    • /
    • 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.

클라우드 컴퓨팅 서비스의 도입특성이 조직의 성과기대 및 사용의도에 미치는 영향에 관한 연구: 혁신확산 이론 관점 (A Study on the Effect of the Introduction Characteristics of Cloud Computing Services on the Performance Expectancy and the Intention to Use: From the Perspective of the Innovation Diffusion Theory)

  • 임재수;오재인
    • Asia pacific journal of information systems
    • /
    • 제22권3호
    • /
    • pp.99-124
    • /
    • 2012
  • Our society has long been talking about necessity for innovation. Since companies in particular need to carry out business innovation in their overall processes, they have attempted to apply many innovation factors on sites and become to pay more attention to their innovation. In order to achieve this goal, companies has applied various information technologies (IT) on sites as a means of innovation, and consequently IT have been greatly developed. It is natural for the field of IT to have faced another revolution which is called cloud computing, which is expected to result in innovative changes in software application via the Internet, data storing, the use of devices, and their operations. As a vehicle of innovation, cloud computing is expected to lead the changes and advancement of our society and the business world. Although many scholars have researched on a variety of topics regarding the innovation via IT, few studies have dealt with the issue of could computing as IT. Thus, the purpose of this paper is to set the variables of innovation attributes based on the previous articles as the characteristic variables and clarify how these variables affect "Performance Expectancy" of companies and the intention of using cloud computing. The result from the analysis of data collected in this study is as follows. The study utilized a research model developed on the innovation diffusion theory to identify influences on the adaptation and spreading IT for cloud computing services. Second, this study summarized the characteristics of cloud computing services as a new concept that introduces innovation at its early stage of adaptation for companies. Third, a theoretical model is provided that relates to the future innovation by suggesting variables for innovation characteristics to adopt cloud computing services. Finally, this study identified the factors affecting expectation and the intention to use the cloud computing service for the companies that consider adopting the cloud computing service. As the parameter and dependent variable respectively, the study deploys the independent variables that are aligned with the characteristics of the cloud computing services based on the innovation diffusion model, and utilizes the expectation for performance and Intention to Use based on the UTAUT theory. Independent variables for the research model include Relative Advantage, Complexity, Compatibility, Cost Saving, Trialability, and Observability. In addition, 'Acceptance for Adaptation' is applied as an adjustment variable to verify the influences on the expected performances from the cloud computing service. The validity of the research model was secured by performing factor analysis and reliability analysis. After confirmatory factor analysis is conducted using AMOS 7.0, the 20 hypotheses are verified through the analysis of the structural equation model, accepting 12 hypotheses among 20. For example, Relative Advantage turned out to have the positive effect both on Individual Performance and on Strategic Performance from the verification of hypothesis, while it showed meaningful correlation to affect Intention to Use directly. This indicates that many articles on the diffusion related Relative Advantage as the most important factor to predict the rate to accept innovation. From the viewpoint of the influence on Performance Expectancy among Compatibility and Cost Saving, Compatibility has the positive effect on both Individual Performance and on Strategic Performance, while it showed meaningful correlation with Intention to Use. However, the topic of the cloud computing service has become a strategic issue for adoption in companies, Cost Saving turns out to affect Individual Performance without a significant influence on Intention to Use. This indicates that companies expect practical performances such as time and cost saving and financial improvements through the adoption of the cloud computing service in the environment of the budget squeezing from the global economic crisis from 2008. Likewise, this positively affects the strategic performance in companies. In terms of effects, Trialability is proved to give no effects on Performance Expectancy. This indicates that the participants of the survey are willing to afford the risk from the high uncertainty caused by innovation, because they positively pursue information about new ideas as innovators and early adopter. In addition, they believe it is unnecessary to test the cloud computing service before the adoption, because there are various types of the cloud computing service. However, Observability positively affected both Individual Performance and Strategic Performance. It also showed meaningful correlation with Intention to Use. From the analysis of the direct effects on Intention to Use by innovative characteristics for the cloud computing service except the parameters, the innovative characteristics for the cloud computing service showed the positive influence on Relative Advantage, Compatibility and Observability while Complexity, Cost saving and the likelihood for the attempt did not affect Intention to Use. While the practical verification that was believed to be the most important factor on Performance Expectancy by characteristics for cloud computing service, Relative Advantage, Compatibility and Observability showed significant correlation with the various causes and effect analysis. Cost Saving showed a significant relation with Strategic Performance in companies, which indicates that the cost to build and operate IT is the burden of the management. Thus, the cloud computing service reflected the expectation as an alternative to reduce the investment and operational cost for IT infrastructure due to the recent economic crisis. The cloud computing service is not pervasive in the business world, but it is rapidly spreading all over the world, because of its inherited merits and benefits. Moreover, results of this research regarding the diffusion innovation are more or less different from those of the existing articles. This seems to be caused by the fact that the cloud computing service has a strong innovative factor that results in a new paradigm shift while most IT that are based on the theory of innovation diffusion are limited to companies and organizations. In addition, the participants in this study are believed to play an important role as innovators and early adapters to introduce the cloud computing service and to have competency to afford higher uncertainty for innovation. In conclusion, the introduction of the cloud computing service is a critical issue in the business world.

  • PDF

계획된 간호 정보가 수면량에 미치는 영향에 관한 연구 -개심술 환자를 중심으로- (The Effect of Structured Information on the Sleep Amount of Patients Undergoing Open Heart Surgery)

  • 이소우
    • 대한간호학회지
    • /
    • 제12권2호
    • /
    • pp.1-26
    • /
    • 1982
  • The main purpose of this study was to test the effect of the structured information on the sleep amount of the patients undergoing open heart surgery. This study has specifically addressed to the Following two basic research questions: (1) Would the structed in formation influence in the reduction of sleep disturbance related to anxiety and Physical stress before and after the operation? and (2) that would be the effects of the structured information on the level of preoperative state anxiety, the hormonal change, and the degree of behavioral change in the patients undergoing an open heart surgery? A Quasi-experimental research was designed to answer these questions with one experimental group and one control group. Subjects in both groups were matched as closely as possible to avoid the effect of the differences inherent to the group characteristics, Baseline data were also. collected on both groups for 7 days prior to the experiment and found that subjects in both groups had comparable sleep patterns, trait anxiety, hormonal levels and behavioral level. A structured information as an experimental input was given to the subjects in the experimental group only. Data were collected and compared between the experimental group and the control group on the sleep amount of the consecutive pre and post operative days, on preoperative state anxiety level, and on hormonal and behavioral changes. To test the effectiveness of the structured information, two main hypotheses and three sub-hypotheses were formulated as follows; Main hypothesis 1: Experimental group which received structured information will have more sleep amount than control group without structured information in the night before the open heart surgery. Main hypothesis 2: Experimental group with structured information will have more sleep, amount than control group without structured information during the week following the open heart surgery Sub-hypothesis 1: Experimental group with structured information will be lower in the level of State anxiety than control group without structured information in the night before the open heart surgery. Sub-hypothesis 2 : Experimental group with structured information will have lower hormonal level than control group without stuctured information on the 5th day after the open heart surgery Sub-hypothesis 3: Experimental group with structured information will be lower in the behavioral change level than control group without structured information during the week after the open heart surgery. The research was conducted in a national university hospital in Seoul, Korea. The 53 Subjects who participated in the study were systematically divided into experimental group and control group which was decided by random sampling method. Among 53 subjects, 26 were placed in the experimental group and 27 in the control group. Instruments; (1) Structed information: Structured information as an independent variable was constructed by the researcher on the basis of Roy's adaptation model consisting of physiologic needs, self-concept, role function and interdependence needs as related to the sleep and of operational procedures. (2) Sleep amount measure: Sleep amount as main dependent variable was measured by trained nurses through observation on the basis of the established criteria, such as closed or open eyes, regular or irregular respiration, body movement, posture, responses to the light and question, facial expressions and self report after sleep. (3) State anxiety measure: State Anxiety as a sub-dependent variable was measured by Spi-elberger's STAI Anxiety scale, (4) Hormornal change measure: Hormone as a sub-dependent variable was measured by the cortisol level in plasma. (5) Behavior change measure: Behavior as a sub-dependent variable was measured by the Behavior and Mood Rating Scale by Wyatt. The data were collected over a period of four months, from June to October 1981, after the pretest period of two months. For the analysis of the data and test for the hypotheses, the t-test with mean differences and analysis of covariance was used. The result of the test for instruments show as follows: (1) STAI measurement for trait and state anxiety as analyzed by Cronbachs alpha coefficient analysis for item analysis and reliability showed the reliability level at r= .90 r= .91 respectively. (2) Behavior and Mood Rating Scale measurement was analyzed by means of Principal Component Analysis technique. Seven factors retained were anger, anxiety, hyperactivity, depression, bizarre behavior, suspicious behavior and emotional withdrawal. Cumulative percentage of each factor was 71.3%. The result of the test for hypotheses show as follows; (1) Main hypothesis, was not supported. The experimental group has 282 minutes of sleep as compared to the 255 minutes of sleep by the control group. Thus the sleep amount was higher in experimental group than in control group, however, the difference was not statistically significant at .05 level. (2) Main hypothesis 2 was not supported. The mean sleep amount of the experimental group and control group were 297 minutes and 278 minutes respectively Therefore, the experimental group had more sleep amount as compared to the control group, however, the difference was not statistically significant at .05 level. Thus, the main hypothesis 2 was not supported. (3) Sub-hypothesis 1 was not supported. The mean state anxiety of the experimental group and control group were 42.3, 43.9 in scores. Thus, the experimental group had slightly lower state anxiety level than control group, howe-ver, the difference was not statistically significant at .05 level. (4) Sub-hypothesis 2 was not supported. . The mean hormonal level of the experimental group and control group were 338 ㎍ and 440 ㎍ respectively. Thus, the experimental group showed decreased hormonal level than the control group, however, the difference was not statistically significant at .05 level. (5) Sub-hypothesis 3 was supported. The mean behavioral level of the experimental group and control group were 29.60 and 32.00 respectively in score. Thus, the experimental group showed lower behavioral change level than the control group. The difference was statistically significant at .05 level. In summary, the structured information did not influence the sleep amount, state anxiety or hormonal level of the subjects undergoing an open heart surgery at a statistically significant level, however, it showed a definite trends in their relationships, not least to mention its significant effect shown on behavioral change level. It can further be speculated that a great degree of individual differences in the variables such as sleep amount, state anxiety and fluctuation in hormonal level may partly be responsible for the statistical insensitivity to the experimentation.

  • PDF

대학급식 이용실태 및 급식서비스 품질이 고객만족과 고객태도에 미치는 영향 (A Study on Utilization and Perceived Service Quality of the University Foodservice)

  • 정현영
    • 한국식품영양과학회지
    • /
    • 제42권4호
    • /
    • pp.633-643
    • /
    • 2013
  • 본 연구는 전라남도지역 대학급식의 서비스 품질에 대한 인식 및 고객의 태도를 파악하고 대학급식의 운영전략을 제안하고자 수행하였다. 2011년 8월 30일에서 11월 30일 사이에 설문조사를 진행하였고, 총 600부의 설문지를 배포하여 총 580부가 회수되었으며, 부적절한 응답을 한 것을 제외하고 571부를 최종분석에 사용하였다. 대학급식 이용 실태조사 결과, 대학급식을 전혀 이용하지 않고 있는 비율이 21.9%로 조사되었고, 48.7%가 1주일에 1~2회 정도만 대학내에 급식을 이용하고 있는 것으로 나타났고, 1주일에 3~4회 이용은 20.4%로 나타나 대학급식의 이용횟수가 비교적 좋지 않은 것으로 나타났다. 서비스 품질에 대한 평균 수행도는 3.01점으로 중간 수준을 보였다. '편이성' 점수가 3.25점으로 '서비스 품질' 점수(2.93)와 '음식 품질' 점수(2.94)보다 높은 수행도 인식을 가지고 있는 것으로 조사되었다. 13개의 항목 중에서 '식당위치의 편리성(3.31)'이 가장 높은 수행점수로 나타났고, 그 다음으로 '신속한 배식(3.23)', '식사 가격(3.22)'으로 조사되었다. 반대로 '메뉴선택의 다양성(2.60)'은 가장 낮은 수행도로 조사되었다. 대학급식에서 우선적으로 개선해야할 품질속성을 제언하기 위하여 서비스품질 속성에 대한 인식도와 중요도를 기초로 IPA 수행한 결과, 대학급식에서 우선적으로 개선이 필요한 속성으로는 '음식의 맛', '메뉴선택의 다양성', '음식의 질(재료의 신선도)'로 분석되었다. 중요도 수행도 모두 높은 항목은 '위생 및 청결', '식사가격'으로 분석되었다. 이에 비해 중요도 수행도 모두 낮은 항목으로는 '편안하고 조용한 식사분위기', '쾌적한 환경', '고객 불만에 대한 신속한 처리'로 분석되었고, 중요도 대비 수행도가 높은 항목으로는 '식당위치의 편리성', '신속한 배식서비스', '음식의 양', '종업원의 서비스', '영양적으로 균형 있는 식사'로 조사되었다. 서비스 품질이 전반적인 만족도에 미치는 영향 분석결과, 대학급식의 전반적인 만족도에 영향을 미치는 회귀계수에는 '음식(p<0.001)'과 '편이성(p<0.05)'으로 분석되었고, 서비스 품질이 가치에 미치는 영향을 분석한 결과, 대학급식의 가치에 대한 인식에 영향을 미치는 독립변수는 '음식(p<0.001)'과 '서비스(p<0.05)'로 분석되어 가치에는 '음식'이 가장 큰 영향을 미치고 '서비스'가 그 다음 순으로 분석되었다. 서비스 품질이 재방문의도에 미치는 영향분석결과에서는 재방문의도에는 '음식'이 가장 큰 영향을 미치고 '서비스'가 그 다음 순으로 나타났다. 서비스 품질이 추천의도에 미치는 영향 분석결과에서는 '음식(p<0.001)'만 유의적인 정(+)의 영향을 미치는 것으로 분석되었다. 이상의 결과를 종합하여 볼 때 대학급식의 고객인 대학생들이 인식하는 대학급식은 대학 내에 편리한 장소에 위치하여 신속하게 양껏 먹을 수 있는 편이성과 종업원들에 대한 서비스는 상당히 만족하는 것으로 분석된 반면에 음식의 맛과 다양성, 그리고 음식의 질에 대해서는 상당히 불만족한 요인으로 분석되었다. 이에 대해 음식의 맛과 메뉴 선택의 다양성 개선을 위한 실질적인 운영전략을 세우고 노력해 나가야 할 것이다.

정보서비스품질이 고객로열티에 미치는 영향에 관한 연구: 고객관계관리 관점 (The Effect of Information Service Quality on Customer Loyalty: A Customer Relationship Management Perspective)

  • 김형수;김승하;김영걸
    • Asia pacific journal of information systems
    • /
    • 제18권1호
    • /
    • pp.1-23
    • /
    • 2008
  • As managing customer relationship gets more important, companies are strengthening information service using multi-channels to their customers as a part of their customer relationship management (CRM) initiatives. It means companies are now accepting such information services not as simple information -delivering tools, but as strategic initiatives for acquiring and maintaining customer loyalty. In this paper, we attempt to validate whether or not such various information services would impact on organizational performance in terms of CRM strategy. More specifically, our research objective is to answer the next three questions: first, how to construct the instruments to measure not information quality but information service quality?; second, which attributes of information service quality can influence corporate image and customer loyalty?; finally, does each information service type have unique characteristics compared with others in terms of influencing corporate image and customer loyalty? With respect to providing answers to those questions, the previous studies had been limited in that those studies failed to consider the variety of types of information service or restricted the quality of information service to information quality. An appropriate research model answering the above questions should consider the fact that most companies are utilizing multi channels for their information services, and include the recent strategic information service such as customer online community. Moreover, since corporate information service could be regarded as a type of products or services delivered to customer, it is necessary to adopt the criteria for assessing customer's perceived value when to measure the quality of information service. Therefore, considering both multi-channels and multi-traits may enable us to tell the detailed causal routes showing which quality attributes of which information service would affect corporate image and customer loyalty. As information service channels, we include not only homepage and DM (direct mail), which are the most frequently applied information service channels, but also online community, which is getting more strategic importance in recent years. With respect to information service quality, we abstract information quality, convenience of information service, and timeliness of information service through a wide range of relevant literature reviews. As our dependant variables, we consider corporate image and customer loyalty that both of them are the critical determinants of organizational performance, and also attempt to grasp the relationship between the two constructs. We conducted a huge online survey at the homepage of one of representative dairy companies in Korea, and gathered 367 valid samples from 407 customers. The reliability and validity of our measurements were tested by using Cronbach's alpha coefficient and principal factor analysis respectively, and seven hypotheses were tested through performing correlation test and multiple regression analysis. The results from data analysis demonstrated that timeliness and convenience of homepage have positive effects on both corporate image and customer loyalty. In terms of DM, its' information quality was represented to influence both corporate image and customer loyalty, but we found its' convenience have a positive effect only on corporate image. With respect to online community, we found its timeliness contribute significantly both to corporate image and customer loyalty. Finally, as we expected, corporate image was revealed to provide a great influence to customer loyalty. This paper provides several academic and practical implications. Firstly, we think our research reinforces CRM literatures by developing the instruments for measuring information service quality. The previous relevant studies have mainly depended on the measurements of information quality or service quality which were developed independently. Secondly, the fact that we conducted our research in a real situation may enable academics and practitioners to understand the effects of information services more clearly. Finally, since our study involved three different types of information service which are most frequently applied in recent years, the results from our study might provide operational guidelines to the companies that are delivering their customers information by multi-channel. In other words, since we found that, in terms of customer loyalty, the key areas would be different from each other according to the types of information services, our analysis would help to make decisions such as selecting strengthening points or allocating resources by information service channels.

폐쇄집수역의 냉기호 모의를 통한 일 최저기온 분포 추정 (A Quantification Method for the Cold Pool Effect on Nocturnal Temperature in a Closed Catchment)

  • 김수옥;윤진일
    • 한국농림기상학회지
    • /
    • 제13권4호
    • /
    • pp.176-184
    • /
    • 2011
  • 본 연구에서는 폐쇄집수역의 냉기호 현상을 기존의 냉기집적효과와 연계하여 일 최저기온 분포를 모의할 수 있는 방법을 제시하였다. 집수역 내 찬 공기가 담길 '그릇'의 용적을 계산하고 '그릇'안에 집적되는 냉기량을 고도에 따라 표현하였다. 기존의 계곡지형 냉기류에 냉기호를 합산하여 냉기집적으로 인한 기온하강분을 계산하였다. 이때 냉기호의 '수면'은 일교차 조건에 따라 변화시켰다. 이 방법을 검증하기 위해 경남 하동군 악양계곡의 200m 이하 냉기호 형성지역에 기상관측기 10대에서 1분 단위로 기온을 측정하였다. 5월 17일 새벽에는 형제봉 정상에서 적외선 영상 복사계로 지면온도분포를 획득하였다. 개선된 소기후 모형을 적용하여 0530 LST의 기온 분포를 30m 해상도로 추정한 결과 그 양상이 적외선 열영상 분포와 유사하였다. 10개 기상관측지점에 해당하는 격자의 기온추정값을 추출하여 실측값과 비교한 결과, MAE는 1.01에서 0.60으로, RMSE 1.30에서 0.71으로 감소하여 집수역 출구에 가까운 저지대 평야부분에서 발생하는 기존 방법에 의한 오차가 개선되었다.

Struvite 결정화 반응을 이용한 고온 소화 여과액의 N, P 처리 특성 (Treatment of N, P of Auto-Thermal Thermophilic Aerobic Digestion Filtrate with Struvite Crystallization)

  • 추연덕;김금용;류홍덕;이상일
    • 대한환경공학회지
    • /
    • 제33권11호
    • /
    • pp.783-789
    • /
    • 2011
  • 하수처리장에서 발생되는 잉여슬러지가 고온 호기 소화 반응을 거치면 슬러지부피가 크게 감소하게 된다. 그러나 고온 호기 소화 상등액에는 고농도의 유기물, 질소 및 인이 함유되어 있기 때문에 이들을 별도로 제거해 주어야만 한다. 본 연구에서는 고농도의 질소와 인의 제거에 많이 사용되는 방법인 Struvite 결정화 공법을 이용하여 고온 호기 소화 여액에 함유되어 있는 질소와 인을 제거하였다. 대상폐수의 암모니아성 질소와 인산염인의 평균농도는 각각 1716.5 mg/L 및 325.5 mg/L였다. 최적의 결정화 반응 조건을 결정하기 위하여 $Mg^{2+}$$PO_4^{3-}$의 주입량, pH, 교반 시간($t_d$), 교반 강도(G), 결정핵 주입 그리고 반응 온도를 결정하였다. Struvite 결정화 반응시 마그네슘원으로 $MgCl_2{\cdot}6H_2O$, 인산염인염의 원으로 $K_2HPO_4$를 이용하였다. 질소와 인의 제거를 위한 $Mg^{2+}:PO_4^{3-}:NH_4^+$의 적정 주입 몰비는 2 : 1 : 1과 2 : 2 : 1로 압축되었는데 각각의 주입 몰비에 따른 암모니아성 질소 및 인산염인의 제거효율은 전자의 경우에 각각 71.6% 및 99.9%였고, 후자의 경우에는 93.8%와 98.6%였다. Struvite 결정화 반응에서 반응 시간($t_d$)과 교반 강도(G)는 암모니아성 질소와 인산염인의 제거율에 큰 영향을 미치지 않았다. 또한 결정핵 주입과 온도의 영향에서도 같은 결과가 나타났다. 그러나 결정핵의 주입량이 증가함에 따라 슬러지 발생량이 감소하였으며, 온도의 증가에 따라 생성된 슬러지의 부피는 증가하는 것으로 나타났다.

차세대염기서열 분석을 이용한 소, 돼지, 닭의 장내 미생물 군집 분석 및 비교 (Comparative Analysis of Gut Microbiota among Broiler Chickens, Pigs, and Cattle through Next-generation Sequencing)

  • 정호진;하광수;신수진;정수지;류명선;양희종;정도연
    • 생명과학회지
    • /
    • 제31권12호
    • /
    • pp.1079-1087
    • /
    • 2021
  • 본 연구는 국내 가축의 장내 미생물 군집 분포와 시료간 미생물학적 차이에 대하여 차세대 염기서열 분석법(NGS)을 이용하여 분석하였다. 전국의 축사에서 닭, 돼지, 소의 분변시료를 무작위로 채집하여 α-diversity를 분석한 결과, 종 추정치와 종 풍부도가 세 종류의 가축 모두에서 통계학적 유의성을 가지면서 소, 돼지, 닭 순으로 높게 분석되었다. 그러나 조류에 속하는 닭과 포유류에 속하는 돼지, 소에 대한 각 사이의 종 다양성은 통계학적 유의성이 있는 것으로 분석되었으나, 돼지와 소의 사이의 종 다양성은 통계학적 유의성이 없는 것으로 분석되었다. 각 가축 내 장내 미생물 군집의 분포를 분석한 결과, 문 수준에서 세 종류의 가축 모두 Firmicutes가 우점한 것으로 나타났으며, 속 수준에서는 닭의 분변시료는 Weissella, 돼지의 분변시료는 Prevotella, 소의 분변시료는 Acinetobacter가 우점 속으로 나타났다. 각 가축 분변시료의 미생물 군집 분포에 차이가 있는지 분석하기 위해 PERMANOVA 분석을 수행한 결과, 닭, 돼지, 소의 분변시료 내 미생물 군집의 중심과 산포는 통계학적으로 유의성을 가진 것으로 나타났다. 또한 각 가축 분변시료의 미생물 군집을 대표하는 biomarker를 분석하기 위해 LEfSe 분석을 수행한 결과, Weissella와 Lactobacillus는 닭의 분변을 다른 두 가축과 구분할 수 있는 미생물로, Preveotella는 돼지의 분변을 다른 두 가축과 구분할 수 있는 미생물로, Acinetobacter는 소의 분변을 다른 두 가축과 구분할 수 있는 미생물로 분석되었다. 본 연구를 기반으로 축사 여건에 적합한 체증 관련 미생물의 탐색, 생애주기별 장내 미생물 군집과 유전체 분석 및 각 가축에 특화된 생균제 개발 등 추가적인 연구 진행에 필요한 미생물학적 기초자료로 활용할 수 있을 것으로 기대된다.

빅데이터 도입의도에 미치는 영향요인에 관한 연구: 전략적 가치인식과 TOE(Technology Organizational Environment) Framework을 중심으로 (An Empirical Study on the Influencing Factors for Big Data Intented Adoption: Focusing on the Strategic Value Recognition and TOE Framework)

  • 가회광;김진수
    • Asia pacific journal of information systems
    • /
    • 제24권4호
    • /
    • pp.443-472
    • /
    • 2014
  • To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.