• 디지털산업정보학회논문지
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• 제17권1호
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• pp.57-73
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• 2021

The purpose of this study is to analyze the diffusion period and productivity of smartwork in an organization. Firms are increasingly interested in smartwork for non contact work and working from home because of the corona 19. The smartwork is a new technology that changes face-to-face work in an organization. It helps the work of individuals and organizations regardless of time and place. The theoretical background describes the complexity, system thinking, diffusion theory, smart work, organizational resistance, and productivity. This study analyzes the diffusion period and productivity of smart work through business simulation techniques. A simulation study progresses four stages. There are problem definition, hypothesis establishment and causal loop diagram, model construction and verification, and policy evaluation. The simulation models contain an individual's resistance variables organizational investment and leadership variables related to the operation of smartwork. The organizational investment variables include organizational culture, legal system, implement systems and technology investment. The individual resistance variables include cognitive, attitude, structure and technological resistance. The leadership includes leadership interest variables and performance linkage variables. The simulation executed the changes of a people number adopting smart work and the organizational productivity monthly. As a result of the simulation, many organization members have accepted the smart work innovation after 20 months. The organizational productivity through smart work showed very high value after 16 months. In scenario analysis, the individuals' awareness and attitude resistance showed very important variables to productivity and a personal change of smart work adoption. Meanwhile, The organizational investment showed that the high driving-force increased not productivity and the low driving-force showed decreased low productivity. Also, leadership variables showed a powerful driver for changing smart work productivity. The implication of the study has suggested extending complexity, diffusion theory and organization resistance theory based on simulation methods.

• 한국ITS학회 논문지
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• 제21권5호
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• pp.1-14
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• 2022

본 연구에서는 도심항공교통(UAM) 도입에 따른 대중교통 이용자들의 도심항공교통(UAM) 선호도를 분석하기 위하여 도심항공교통(UAM) 실증노선 구간인 인천국제공항-인천 길병원 노선을 대상구간으로 하여 인천광역시 대중교통 이용자 807명을 대상으로 선호의식(SP)조사를 실시하였다. 또한, 도심항공교통(UAM) 도입 초기, 성장기, 성숙기로 구분하여 시기별 통행시간, 통행비용을 달리하여 선호의식(SP)조사를 실시한 결과를 토대로 수단선택모형을 추정하였다. 구축된 수단선택모형을 활용하여 통행에 대한 시간가치를 분석한 결과 56,428원/시로 나타났고, 모형에서 통행비용(원), 차내시간(분), 차외시간(분)에 대한 탄력성 검증 결과 본 모형에서 도심항공교통(UAM) 분담율에 미치는 영향은 통행비용(원), 차내시간(분), 차외시간(분) 순서로 나타났고, 통행비용(원)이 증가할 때보다 감소할 때 미치는 영향이 크게 나타났다.

• 환경영향평가
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• 제20권6호
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• pp.867-878
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• 2011

Development restriction areas (greenbelt areas) of Korea were recognized in 1970 as a means to control urban sprawl and conserve the natural environment. Although there have been some achievements, for a long time many planners and residents have requested a redefining of the green belt due to individual property rights restrictions and urban management problems. In fact, a lot of the greenbelt area is being destroyed by urban development. Therefore, conservation of ecological spaces in the green belt is needed to maintain urban naturalness. In this regard, this study suggests efficient methods to manage the greenbelt through the adoption of a landscape ecological value assessment. The greenbelt of the Seoul Metropolitan Area (SMA) is represented as the case study because there has been mounting pressure to develop the area in Korea. In this study, the assessment of the landscape ecology in the greenbelt area focuses on landscape structure and function. The assessment consists of the following steps: First, patches were derived by NDVI analysis using landsat remote sensing data. Second, characteristics of the patches were quantified by analyzing the landscape structure, such as patch size and shape index. Lastly, the gravity model and least cost path analysis to assess connectivity were applied to evaluate the landscape function in the green belt areas. The assessment result showed that 48.45% of green belt area should be conserved to maintain ecological stability and function. Moreover, major ecological networks were identified near the large patches in the northern and southern areas. However, relative low ecological values were identified in the western part of the green belt area due to the lack of green spaces. Furthermore, some development plans in the green belt were also identified near the conservation area. Based on these results, the restoration needed areas to enhance ecological value in green belt were displayed. This study suggests efficient management of the greenbelt area, which is disappearing as a result of urban development. The area for conservation chosen in this study should be managed carefully in urban planning. Finally, the results of this study can be used in green belt polices and plans for the promotion of ecological naturalness and stability.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.443-472
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• 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.

• Asia pacific journal of information systems
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• 제21권4호
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• pp.45-62
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• 2011

The notion of information systems (IS) continuance has recently emerged as one of the most important research issues in the field of IS. A great deal of research has been conducted thus far on the basis of theories adapted from various disciplines including consumer behaviors and social psychology, in addition to theories regarding information technology (IT) acceptance. This previous body of knowledge provides a robust research framework that can already account for the determination of IS continuance; however, this research points to other, thus-far-unelucidated determinant factors such as habit, which were not included in traditional IT acceptance frameworks, and also re-emphasizes the importance of emotion-related constructs such as satisfaction in addition to conscious intention with rational beliefs such as usefulness. Experiences should also be considered one of the most important factors determining the characteristics of information system (IS) continuance and the features distinct from those determining IS acceptance, because more experienced users may have more opportunities for IS use, which would allow them more frequent use than would be available to less experienced or non-experienced users. Interestingly, experience has dual features that may contradictorily influence IS use. On one hand, attitudes predicated on direct experience have been shown to predict behavior better than attitudes from indirect experience or without experience; as more information is available, direct experience may render IS use a more salient behavior, and may also make IS use more accessible via memory. Therefore, experience may serve to intensify the relationship between IS use and conscious intention with evaluations, On the other hand, experience may culminate in the formation of habits: greater experience may also imply more frequent performance of the behavior, which may lead to the formation of habits, Hence, like experience, users' activation of an IS may be more dependent on habit-that is, unconscious automatic use without deliberation regarding the IS-and less dependent on conscious intentions, Furthermore, experiences can provide basic information necessary for satisfaction with the use of a specific IS, thus spurring the formation of both conscious intentions and unconscious habits, Whereas IT adoption Is a one-time decision, IS continuance may be a series of users' decisions and evaluations based on satisfaction with IS use. Moreover. habits also cannot be formed without satisfaction, even when a behavior is carried out repeatedly. Thus, experiences also play a critical role in satisfaction, as satisfaction is the consequence of direct experiences of actual behaviors. In particular, emotional experiences such as enjoyment can become as influential on IS use as are utilitarian experiences such as usefulness; this is especially true in light of the modern increase in membership-based hedonic systems - including online games, web-based social network services (SNS), blogs, and portals-all of which attempt to provide users with self-fulfilling value. Therefore, in order to understand more clearly the role of experiences in IS continuance, analysis must be conducted under a research framework that includes intentions, habits, and satisfaction, as experience may not only have duration-based moderating effects on the relationship between both intention and habit and the activation of IS use, but may also have content-based positive effects on satisfaction. This is consistent with the basic assumptions regarding the determining factors in IS continuance as suggested by Oritz de Guinea and Markus: consciousness, emotion, and habit. The principal objective of this study was to explore and assess the effects of experiences in IS continuance, with special consideration given to conscious intentions and unconscious habits, as well as satisfaction. IN service of this goal, along with a review of the relevant literature regarding the effects of experiences and habit on continuous IS use, this study suggested a research model that represents the roles of experience: its moderating role in the relationships of IS continuance with both conscious intention and unconscious habit, and its antecedent role in the development of satisfaction. For the validation of this research model. Korean university student users of 'Cyworld', one of the most influential social network services in South Korea, were surveyed, and the data were analyzed via partial least square (PLS) analysis to assess the implications of this study. In result most hypotheses in our research model were statistically supported with the exception of one. Although one hypothesis was not supported, the study's findings provide us with some important implications. First the role of experience in IS continuance differs from its role in IS acceptance. Second, the use of IS was explained by the dynamic balance between habit and intention. Third, the importance of satisfaction was confirmed from the perspective of IS continuance with experience.

• 한국전자거래학회지
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• 제21권2호
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• pp.1-22
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• 2016

최근 온라인 뉴스 포탈의 뉴스 추천 메커니즘이 뉴스 콘텐츠를 수집, 선택, 편집 및 왜곡하는 일이 일어나고 있다. 선행연구들은 뉴스의 가치에 대한 일관된 정의를 내리지도, 뉴스의 가치가 독자의 반응에 어떤 영향을 미치는지 실증적으로 검증하지도 못했다. 본 연구는 선행연구의 뉴스 가치 개념을 종합하고, 뉴스 가치를 아우를 수 있는 개념으로 대표성의 개념을 도입하였으며, 대표성 기반 정보발견법 및 정보 수용 모델을 활용하여, 대표성이 인지된 뉴스 품질, 신뢰, 인지된 유용성, 서비스 만족도, 충성도, 지속사용의도, 구전의도 등 독자 반응에 어떠한 영향을 미치는 지를 실증적으로 검증하였다. 시나리오 설문 법을 통해 총 357개의 유효한 자료가 수집되었다. 각 집단들은 1) 시간 순서기반 뉴스 추천 메커니즘, 2) 조회수 기반 뉴스 추천 메커니즘, 3) 편집자에 의해 선택된 주요 뉴스를 다시 조회수 기반으로 정렬한 뉴스 추천 메커니즘의 세 종류의 메커니즘에 각각 노출되었다. MANOVA 분석결과에 따르면, 편집자에 의해 선택된 주요 뉴스를 다시 조회수 기반으로 정렬한 뉴스 추천 메커니즘만이 여타 집단에 비해 인지된 뉴스 품질과 신뢰에서 유의한 차이를 보였다. PLS 분석 결과에 따르면, 이렇게 형성된 인지된 뉴스 품질과 신뢰는 인지된 유용성, 서비스 만족도, 충성도, 지속사용의도, 구전의도 등 독자 반응을 유의하게 증가시키는 것으로 조사되었다. 본 연구의 학술적 기여는 언론 영역에서 정보기술의 역할을 강조하고, 편집자와 독자 모두가 인정하는 뉴스가 가치 있는 뉴스라고 개념화 하였으며, 뉴스 추천 메커니즘의 효과를 실증한 가치를 가진다. 실무적 측면에서 본 연구는 온라인 뉴스 포탈이 편집자와 독자의 시각이 모두 반영된 절충안의 뉴스 추천 메커니즘을 활용하는 것이 독자를 유인하기 위해 도움이 될 것이라고 제안한다.

• 한국유통학회지:유통연구
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• 제16권2호
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• pp.1-24
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• 2011

오프라인 구매환경과는 달리 온라인 환경에서는 제품을 직접 눈으로 확인하고 만져 볼 수 없다. 때문에 온라인 쇼핑몰을 구축하고 운영하는 입장에서는 보다 구체적인 제품정보를 제공해야 하며(김광석 2008), Alba (1997)는 제공된 정보의 질은 소비자들이 구매 후 만족을 얼마나 예상할 수 있는 가로 결정된다고 정의한 바 있다. 이에 패션 의류 온라인 쇼핑몰을 중심으로 실제 모델이 제품을 착용한 사진정보(실착사진)를 제공함으로써 실제 제품사용에 따른 결과를 제시하여 제품정보의 유용성을 높이고 있다. 한편 온라인 환경에서 소비자들의 제품에 대한 제한된 지각을 극복하는 또 다른 수단으로써, 가상제품경험은 가장 효과적인 것으로 논의되어 왔다(Jiang & Benbasat 2005). 그러나 가상현실도구의 도입과 지속적 활용에는 일반적인 텍스트/사진 정보와 비교해 높은 비용과 기술적 전문성을 요구한다(Shaffer 2006). 이는 특히 영세 소매상 입장에서 시장에 대한 진입장벽으로 작용하는 한편, 소비자의 정보처리과정에서는 오히려 단순한 형태의 정보에 비하여 더 높은 수준의 인지적 노력을 요구할 수 있다. 따라서 이러한 도구들의 활용하는 것이 소비자들의 정보과부하를 초래해 제품에 대한 핵심정보 취득을 방해하고, 소비자의 지각된 정보유용성에 부정적 영향을 미칠 수 있다. 이에 본 연구에서는 제품유형을 소비자들의 제품 사용상황에 따라 휴대제품과 설치제품으로 구분하고, 이때 정지사진, 실착사진, VR로 대별되는 제품정보의 형태에 따른 소비자들의 지각된 정보의 유용성, 쇼핑몰에 대한 태도와 품질평가, 구매의도, 재방문 의도를 측정하기 위한 실험을 진행했다. 그 결과 소비자 구매의도에 영향을 미치는 종속변수군에 대해 제품유형과 제품정보형태가 상호작용효과를 일으키는 것을 확인할 수 있었다.

• Asia pacific journal of information systems
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• 제17권4호
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• pp.61-95
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• 2007

Small-and-medium sized enterprises(SMEs) represent quite a large proportion of the industry as a whole in terms of the number of enterprises or employees. However researches on information system so far have focused on large companies, probably because SMEs were not so active in introducing information systems as larger enterprises. SMEs are now increasingly bringing in information systems such as ERP(Enterprise Resource Planning Systems) and some of the companies already entered the stage of ongoing use. Accordingly, researches should deal with the use of information systems by SME s operating under different conditions from large companies. This study examined factors and mechanism inducing faithful appropriation of information systems, in particular integrative systems such as ERP, in view of individuals` active feedback-seeking behavior. There are three factors expected to affect end users` feedback-seeking behavior for faithful appropriation of information systems. They are management support, peer IT champ support, and IT staff support. The main focus of the study is on how these factors affect feedback-seeking behavior and whether the feedback-seeking behavior plays the role of mediator for realizing faithful appropriation of information systems by end users. To examine the research model and the hypotheses, this study employed an empirical method based on a field survey. The survey used measurements mostly employed and verified by previous researches, while some of the measurements had gone through minor modifications for the purpose of the study. The survey respondents are individual employees of SMEs that have been using ERP for one year or longer. To prevent common method bias, Task-Technology Fit items used as the control variable were made to be answered by different respondents. In total, 127 pairs of valid questionnaires were collected and used for the analysis. The PLS(Partial Least Squares) approach to structural equation modeling(PLS-Graph v.3.0) was used as our data analysis strategy because of its ability to model both formative and reflective latent constructs under small-and medium-size samples. The analysis shows Reliability, Construct Validity and Discriminant Validity are appropriate. The path analysis results are as follows; first, the more there is peer IT champ support, the more the end user is likely to show feedback-seeking behavior(path-coefficient=0.230, t=2.28, p<0.05). In other words, if colleagues proficient in information system use recognize the importance of their help, pass on what they have found to be an effective way of using the system or correct others' misuse, ordinary end users will be able to seek feedback on the faithfulness of their appropriation of information system without hesitation, because they know the convenience of getting help. Second, management support encourages ordinary end users to seek more feedback(path-coefficient=0.271, t=3.06, p<0.01) by affecting the end users' perceived value of feedback(path-coefficient=0.401, t=6.01, p<0.01). Management support is far more influential than other factors that when the management of an SME well understands the benefit of ERP, promotes its faithful appropriation and pays attention to employees' satisfaction with the system, employees will make deliberate efforts for faithful appropriation of the system. However, the third factor, IT staff support was found not to be conducive to feedback-seeking behavior from end users(path-coefficient=0.174, t=1.83). This is partly attributable to the fundamental reason that there is little support for end users from IT staff in SMEs. Even when IT staff provides support, end users may find it less important than that from coworkers more familiar with the end users' job. Meanwhile, the more end users seek feedback and attempt to find ways of faithful appropriation of information systems, the more likely the users will be able to deploy the system according to the purpose the system was originally meant for(path-coefficient=0.35, t=2.88, p<0.01). Finally, the mediation effect analysis confirmed the mediation effect of feedback-seeking behavior. By confirming the mediation effect of feedback-seeking behavior, this study draws attention to the importance of feedback-seeking behavior that has long been overlooked in research about information system use. This study also explores the factors that promote feedback-seeking behavior which in result could affect end user`s faithful appropriation of information systems. In addition, this study provides insight about which inducements or resources SMEs should offer to promote individual users' feedback-seeking behavior when formal and sufficient support from IT staff or an outside information system provider is hardly expected. As the study results show, under the business environment of SMEs, help from skilled colleagues and the management plays a critical role. Therefore, SMEs should seriously consider how to utilize skilled peer information system users, while the management should pay keen attention to end users and support them to make the most of information systems.

• 경영과정보연구
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• 제37권3호
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• pp.83-113
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• 2018

본 연구의 목적은 변화저항에 따라 달라지는 스마트워크 투자와 직무 성과를 실증적으로 검정하는 것이다. 연구에서는 우선적으로 스마트워크 투자와 생산성 성과 사이의 의사소통 매개 효과를 살펴볼 것이다. 그 다음 스마트워크 투자를 저하시키는 조직 변화저항을 수준별로 분류하여 투자와 생산성의 차이를 확인할 것이다. 스마트워크란 조직 구성원들에게 시간과 장소의 유연성을 제공하고, 업무 생산성을 개선시키는 근무방식을 말한다. 스마트워크의 도입은 조직 내부에 새로운 조직문화, 조직제도, 신기술을 채택하는 것을 의미한다. 조직 의사소통과 협업이 변화된 형태이기 때문에 기존 조직문화와 제도, 기술의 관행에 대한 변화를 요구할 수밖에 없다. 이에 본 연구 방법은 스마트워크 투자에 따른 의사소통의 매개적 효과, 조직저항 수준별로 조절 효과를 검정할 수 있도록 구조방정식 모형을 채택하였다. 구조방정식 모형을 통해서 스마트워크 투자가 의사소통과 조직 생산성에 긍정적 영향을 제공하는지 확인하고자 한다. 또한, 조직 변화 저항을 군집 분석하여 수준별로 구분하여 스마트워크 생산성에 미치는 효과 차이를 확인하였다. 연구결과, 스마트워크 투자로서 조직IT, 조직제도, 조직문화는 의사소통에 중요한 영향자로서 나타났으며, 개인적 성과에 직접적 영향력을 제공한다고 나타났다. 또한, 조직IT와 조직제도, 문화는 의사소통을 매개로 하여 개인 생산성과 조직 생산성에 간접적 영향력도 가진다고 나타났다. 하지만 조직IT와 조직제도의 독립변수는 조직 생산성을 높여주는 직접적 영향력은 없다고 나타났다. 그럼에도 불구하고, 조직IT와 조직제도는 의사소통을 매개로 하면 조직 생산성을 높이는 영향력을 가진다고 간접효과가 나타났다. 다음으로 조직저항의 세 집단의 생산성을 확인한 결과, 집단 간에 스마트워크 생산성 성과의 차이가 있다고 나타났다. 여기서 조직 저항이 낮은 집단은 다른 집단에 비해서 높은 생산성 성과의 영향력을 가진다고 나타났다. 집단별 분석 결과의 함의로는, 스마트워크의 긍정적 성과를 위해서는 우선적으로 조직제도를 개정하고, 다음으로 조직 문화를 형성시키고, 마지막으로 기술 도입을 고도화시키는 것이 중요하다고 나타났다. 본 연구의 이론적 함의로는 스마트워크의 배경을 기반으로 사회기술시스템 이론과 조직제도, 문화이론, 조직 변화저항이론, 직무 생산성 이론을 설명하였고, 기존 사회과학 이론들을 한층 더 구체화시키는 기반을 넓혔다. 실천적 함의로는 스마트워크로 발생될 수 있는 변화저항을 수준별로 관리한다는 것이다. 스마트워크를 급진적으로 투자하기보다는 단계별로 투자하여 생산성 성과를 높여야 한다는 것을 설명하였다. 향후 연구에는 스마트워크 투자를 국내 기업과 공공기관으로 구분하고 조직문화, 제도, 기술, 성과에 대한 차이를 비교 분석할 필요가 있겠다.

• 한국가정과교육학회지
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• 제24권2호
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• pp.117-134
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• 2012

본 연구의 목적은 가정과교육에서 창의 인성 교육에 대한 가정과 교사의 관심 단계와 실행 수준, 그리고 실행 실태를 알아보는데 있다. 연구 자료는 전국의 중학교 가정과 교사를 대상으로 체계적 표집과 편의 표집을 하여 우편과 이메일을 통해 설문지를 배포하고 회수된 187부를 최종 분석에 사용하였다. 조사 도구는 주로 Hall(1987)이 개발한 혁신에 대한 교사의 관심도와 실행 수준에 대한 질문지를 수정 보완하여 사용하였고 그 외는 선행연구를 기초하여 개발하였으며 타당도와 신뢰도를 검증하였다. 자료는 SPSS/window(12.0) 프로그램을 이용하여 빈도, 백분율, 평균, 표준편차, t-test, ANOVA를 실시하였다. 본 연구를 통해 밝혀진 결과를 요약하면 다음과 같다. 첫째, 창의 인성 교육에 대한 가정과 교사의 관심 단계는 정보적 관심 단계(85.51)가 가장 높았으며 다음으로 개인적 관심 단계(85.18), 운영적 관심 단계(81.88), 지각적 관심 단계(82.15), 강화적 관심 단계(68.80), 협동적 관심 단계(61.97), 그리고 결과적 관심단계(59.76)의 순으로 나타났다. 둘째, 창의 인성 교육에 대한 가정과 교사의 실행 수준은 기계적 실행 수준(수준 3; 21.4%)이 가장 많았으며, 다음으로 탐색 수준(수준 1; 20.9%), 정교화 수준(수준 5; 17.1%), 사용하지 않는 수준(수준 0; 15.0%), 준비 수준(수준 2; 10.2%), 통합 수준(수준 6; 5.9%), 갱신 수준(수준 7; 4.8%), 일상화 수준(수준 4; 4.8%) 순이었다. 셋째, 창의 인성 교육에 대한 가정과 교사의 실행 실태를 조사한 결과, 반 이상의 가정과 교사(56.1%)는 가정과 수업에서 인성 교육에 치중하고 있으며, 31.0%의 교사는 창의 인성 교육을 모두 실행한다고 응답하였다. 반면 소수의 교사(6.4%)는 창의성 교육을 실행한다고 응답하였고 같은 수의 교사(6.4%)는 창의성과 인성 교육 어느 것도 실행하지 않는다고 응답하였다. 가정과 교사의 창의 인성 교육 요소의 실행 정도를 조사한 결과, 창의 인성 교육 요소의 실행은 평균은 5점 만점에서 3.76이었고 창의성 요소의 평균은 3.59, 인성 요소의 평균은 3.94로 보통보다 높았다. 창의성 교육 요소의 실행 정도에 대해서, 개방성/민감성(3.97)을 가장 많이 실행하였고 다음으로 문제해결능력(3.79), 호기심/흥미(3.73), 비판적 사고(3.68), 논리/분석적 사고(3.63), 문제발견능력(3.61), 독창성(3.57), 유추성(3.47), 유창성/융통성(3.46), 정교성(3.46), 상상력(3.37), 몰입/공감(3.37)의 순으로 실행하였다. 인성 교육 요소는 실천력(4.07)을 가장 많이 실행하였고, 다음으로 협동/배려/공정(4.06), 자기관리능력(4.04), 시민의식(4.04), 진로개발능력(4.03), 환경친화능력(3.95), 책임(감)/소유(3.94), 의사결정능력(3.89), 신뢰/정직/약속(3.88), 자율성(3.86), 글로벌역량(3.55)의 순으로 실행한 것으로 나타났다. 창의 인성 교육을 실행할 때 어려운 점으로, 많은 가정과 교사(64.71%)는 창의 인성 교육을 실행할 수업 자료가 부족한 데 있다고 하였으며, 40.11%의 교사는 창의 인성 교육의 연수 기회가 적은데 있다고 응답하였다. 한편 38.50%의 가정과 교사는 창의 인성 교육에 대한 평가 기준을 설정하거나 평가 도구를 개발하는 것이 어렵다고 응답하였고, 25.67%의 교사는 창의 인성 교육 방법을 모른다고 응답하였다. 창의 인성 교육 실행을 위해서 필요한 지원에 대해서, '창의 인성 교육과 관련된 학생들의 체험활동의 확대'(4.34), '창의성과 인성을 중시하는 가정과 수업 문화 조성'(4.29), '학생 발달 단계에 적합한 창의 인성 교육 내용'(4.27), '창의 인성 교육을 담당할 교수 인력 확보'(4.21), '창의 인성 교육의 개념과 가치 확립'(4.09), '지역 사회 기업 등과 연계한 창의 인성 교육 추진'(3.94)의 순으로 응답하였다.