• 제목/요약/키워드: University academic achievement

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삼중고 탈피 후 대역전의 성공을 이끈 걸 그룹'카라'의 차별화 전략 (The Korean Girl Group Kara's Differentiation Strategy Which Overcome the Trilemma and Led to the Great Reversal Success)

  • 김정섭
    • 한국엔터테인먼트산업학회논문지
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    • 제15권2호
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    • pp.169-178
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    • 2021
  • 걸 그룹 '카라'는 데뷔 성적 부진, 팀 해체 위기, 소속사 경영 위기란 삼중고에 시달렸지만, 모두 극복하고 회생해 한국 대중음악사에 위업을 남겼다. 그러나 그 성공전략은 이들의 앨범·공연 프로젝트에 참여한 내부자들에 의해 전혀 공개된 적이 없다. 따라서 본 연구는 사실상 활동 종료 상태인 '카라'의 성과 요인을 분석해 학술적 시사점을 제공하고 고인이 된 경영자 이호연 대표와 '카라'의 핵심 구성원 구하라의 업적을 기리고자 실시하였다. 이에 따라 자료 분석을 선행한 뒤 2020년 11~12월 프로젝트에 참여한 매니저, 작곡자, 스타일리스트, 멤버 구하라(그녀만 생전인 2019년 별도 인터뷰)를 대상으로 심층 인터뷰를 실시했다. 분석 모델은 포터(Porter)의 경쟁 우위 전략과 음악 산업의 가치사슬 모델을 결합해 '상품 혁신 차별화'(프로듀싱, 음원·앨범 제작, 공연활동)와 '마케팅 차별화'(표적시장 설정, 이미지 특화, 홍보·소통)의 범주로 나눠 설정하였다. 연구 결과, 상품 차별화에서 무모한 스타 가수 모방하기 대신 힐링을 유발하는 '밝은 에너지의 발산'을 목표로 구성원들이 지닌 고유의 개성과 진솔함의 가치를 재발견해 창작한 밝은 노래 및 댄스들과 완전히 조화시키고, 마케팅 차별화에서는 일본의 10~20대를 표적시장으로 정해 팬·미디어와 친화성을 높여 역전에 성공한 것으로 분석되었다. 본 연구는 포터의 차별화가 아이돌 그룹의 육성, 흥행, 그리고 부활 실현에서도 유의미한 전략으로 기능할 수 있음을 시사한다. 일본 배우 게키단 히토리의 호명은 '카라'의 일본 흥행을 이끈 강력한 점화효과를 유발했기에 초기 또는 명사 팬덤의 활동이 차별화 실현의 유효한 촉매제가 될 수 있음을 재확인시켜준다.

과학 학습에서 불일치 현상 대면 여부에 따른 상태호기심 및 상태불안의 변화 (Changes in State Curiosity and State Anxiety in Science Learning Depending on Confronting Violation of Expectation)

  • 강지훈;김지나
    • 한국초등과학교육학회지:초등과학교육
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    • 제41권3호
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    • pp.521-537
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    • 2022
  • 과학 학습 과정에서 유발되는 상태호기심과 상태불안은 학업 수행 및 성취에 많은 영향을 미친다. 상태호기심과 상태불안은 매 순간마다 그 수준이 변할 수 있기 때문에 학습의 전 과정에서 학생의 상태호기심과 상태불안 수준을 파악하여 지도할 필요가 있다. 이러한 맥락에서 본 연구에서는 과학 학습을 과학 문제 대면, 결과 확인, 과학 개념 학습의 세 상황으로 구분하여 초등학교 5~6학년 학생을 대상으로 자신의 예상과 결과의 일치 여부에 따른 학생들의 상태호기심 및 상태불안 수준의 변화를 분석하였다. 분석 결과, 문제 대면 후 결과를 확인하는 과정에서 자신의 예상과 일치한 결과에 직면한 nVOE 집단의 상태호기심 수준은 유의한 차이가 없었지만, 자신의 예상과 일치하지 않은 결과에 직면한 VOE 집단의 상태호기심은 증가하였다. VOE 집단 중 결과에 대한 이유를 바르게 추론한 VOE-R 집단의 상태호기심 수준은 유의한 변화가 없었지만 결과에 대한 이유를 바르게 추론하지 못한 VOE-FR 집단의 상태호기심은 증가하였다. 한편 문제의 결과를 확인한 후 VOE 집단과 nVOE 집단의 상태불안은 감소하였으며 VOE-R 집단 역시 상태불안이 감소하였다. 반면 VOE-FR 집단의 상태불안은 유의한 변화가 나타나지 않았다. 문제의 결과를 확인한 후 결과에 대한 과학 개념을 학습하는 과정에서 VOE 집단, nVOE 집단, VOE-FR 집단의 상태호기심은 모두 감소하였다. 한편 nVOE 집단의 상태불안 수준은 유의한 변화가 없었지만, VOE 집단, VOE-R 집단, VOE-FR 집단의 상태불안 수준은 감소하였다. 이러한 연구 결과의 교육적 함의에 대하여 논의하였다. 본 연구의 결과는 과학 학습에서 유발되는 학생의 정서적 상태에 대한 이해의 폭을 넓힐 수 있을 것으로 기대된다.

환경미학의 다변화와 일상미학의 부상 - 유리코 사이토의 일상미학 이론의 의제와 쟁점을 중심으로 - (The Diversification of Environmental Aesthetics and the Rise of Everyday Aesthetics - Theoretical Agendas and Issues of Yuriko Saito's Everyday Aesthetics -)

  • 배정한
    • 한국조경학회지
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    • 제51권2호
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    • pp.42-53
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    • 2023
  • 이 논문은 다변화하고 있는 환경미학의 최근 전개 양상을 고찰하고, 환경미학의 중요한 갈래로 부상하고 있는 일상미학의 주요 의제와 주장, 쟁점과 의의를 비판적으로 검토한다. 1960년대의 문화 변동과 환경주의를 바탕으로 싹튼 환경미학은 20세기 후반 이론적 기반을 다지며 성장했고, 21세기에 들어서면서 대상과 주제의 다변화 과정에 진입했다. 학문적 성숙기를 맞은 환경미학은 도시를 포함한 인문환경 전반으로 이론적 영토를 확장했으며, 도시 환경과 경관의 계획·설계 담론으로서 실천적 좌표를 제시했다. 특히 2000년대 중반 이후 환경미학의 가장 주목할 성과는 '일상미학'의 성립이라고 할 수 있다. 일상미학 연구를 주도하고 있는 유리코 사이토는 미학 이론의 대상과 범위를 일상의 사물, 사건, 행동, 환경으로 확장한다. 그는 기존의 예술 중심적 미학이 간과해온 일상의 미시적이고 감각적인 국면을 미학의 시선으로 발굴해 현대 도시의 환경과 경관, 공간과 장소에서 벌어지는 현상의 다양한 층위를 새롭게 해석하며, 일상에 숨겨진 '미적인 것의 힘'이 삶의 질과 세상의 상태에 미치는 심대한 영향을 분석한다. 그는 일상의 대상과 환경에 내재한 특유의 성질과 분위기에 대한 감상을 고찰하고, 일상의 미적 감상과 판단이 낳는 환경적, 사회적, 정치적 결과를 경계하기 위해 '도덕적-미적 판단'을 제안한다. 이 논문은 일상미학의 쟁점과 의의를 첫째 미학의 확장과 모호한 일상, 둘째 도덕적-미적 판단과 돌봄의 미학, 셋째 도시 재생 경관과 미학적 문해력으로 파악한다. 특히 사이토가 주장하는 일상미학의 도덕적 덕목, 즉 돌봄, 사려 깊음, 감수성, 존중 등은 동시대 도시재생 경관의 실천에 대한 비평적 준거를 마련해준다. 그가 강조하는 '미학적 문해력'은 일상의 도시 환경과 경관 해석에 환경미학의 관점이 필요한 이유를 입증하는 핵심 개념이다.

조직구성원의 정보기술 인적역량과 개인 업무만족 및 업무성과 간의 관계: 목표지향성 관점 (Relationships Among Employees' IT Personnel Competency, Personal Work Satisfaction, and Personal Work Performance: A Goal Orientation Perspective)

  • 허명숙;천면중
    • Asia pacific journal of information systems
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    • 제21권4호
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    • pp.63-104
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    • 2011
  • The study examines the relationships among employee's goal orientation, IT personnel competency, personal effectiveness. The goal orientation includes learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Personal effectiveness consists of personal work satisfaction and personal work performance. In general, IT personnel competency refers to IT expert's skills, expertise, and knowledge required to perform IT activities in organizations. However, due to the advent of the internet and the generalization of IT, IT personnel competency turns out to be an important competency of technological experts as well as employees in organizations. While the competency of IT itself is important, the appropriate harmony between IT personnel's business capability and technological capability enhances the value of human resources and thus provides organizations with sustainable competitive advantages. The rapid pace of organization change places increased pressure on employees to continually update their skills and adapt their behavior to new organizational realities. This challenge raises a number of important questions concerning organizational behavior? Why do some employees display remarkable flexibility in their behavioral responses to changes in the organization, whereas others firmly resist change or experience great stress when faced with the need to alter behavior? Why do some employees continually strive to improve themselves over their life span, whereas others are content to forge through life using the same basic knowledge and skills? Why do some employees throw themselves enthusiastically into challenging tasks, whereas others avoid challenging tasks? The goal orientation proposed by organizational psychology provides at least a partial answer to these questions. Goal orientations refer to stable personally characteristics fostered by "self-theories" about the nature and development of attributes (such as intelligence, personality, abilities, and skills) people have. Self-theories are one's beliefs and goal orientations are achievement motivation revealed in seeking goals in accordance with one's beliefs. The goal orientations include learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Specifically, a learning goal orientation refers to a preference to develop the self by acquiring new skills, mastering new situations, and improving one's competence. A performance approach goal orientation refers to a preference to demonstrate and validate the adequacy of one's competence by seeking favorable judgments and avoiding negative judgments. A performance avoid goal orientation refers to a preference to avoid the disproving of one's competence and to avoid negative judgements about it, while focusing on performance. And the study also examines the moderating role of work career of employees to investigate the difference in the relationship between IT personnel competency and personal effectiveness. The study analyzes the collected data using PASW 18.0 and and PLS(Partial Least Square). The study also uses PLS bootstrapping algorithm (sample size: 500) to test research hypotheses. The result shows that the influences of both a learning goal orientation (${\beta}$ = 0.301, t = 3.822, P < 0.000) and a performance approach goal orientation (${\beta}$ = 0.224, t = 2.710, P < 0.01) on IT personnel competency are positively significant, while the influence of a performance avoid goal orientation(${\beta}$ = -0.142, t = 2.398, p < 0.05) on IT personnel competency is negatively significant. The result indicates that employees differ in their psychological and behavioral responses according to the goal orientation of employees. The result also shows that the impact of a IT personnel competency on both personal work satisfaction(${\beta}$ = 0.395, t = 4.897, P < 0.000) and personal work performance(${\beta}$ = 0.575, t = 12.800, P < 0.000) is positively significant. And the impact of personal work satisfaction(${\beta}$ = 0.148, t = 2.432, p < 0.05) on personal work performance is positively significant. Finally, the impacts of control variables (gender, age, type of industry, position, work career) on the relationships between IT personnel competency and personal effectiveness(personal work satisfaction work performance) are partly significant. In addition, the study uses PLS algorithm to find out a GoF(global criterion of goodness of fit) of the exploratory research model which includes a mediating variable, IT personnel competency. The result of analysis shows that the value of GoF is 0.45 above GoFlarge(0.36). Therefore, the research model turns out be good. In addition, the study performs a Sobel Test to find out the statistical significance of the mediating variable, IT personnel competency, which is already turned out to have the mediating effect in the research model using PLS. The result of a Sobel Test shows that the values of Z are all significant statistically (above 1.96 and below -1.96) and indicates that IT personnel competency plays a mediating role in the research model. At the present day, most employees are universally afraid of organizational changes and resistant to them in organizations in which the acceptance and learning of a new information technology or information system is particularly required. The problem is due' to increasing a feeling of uneasiness and uncertainty in improving past practices in accordance with new organizational changes. It is not always possible for employees with positive attitudes to perform their works suitable to organizational goals. Therefore, organizations need to identify what kinds of goal-oriented minds employees have, motivate them to do self-directed learning, and provide them with organizational environment to enhance positive aspects in their works. Thus, the study provides researchers and practitioners with a matter of primary interest in goal orientation and IT personnel competency, of which they have been unaware until very recently. Some academic and practical implications and limitations arisen in the course of the research, and suggestions for future research directions are also discussed.

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
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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.