• 한국문헌정보학회지
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• 제47권4호
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• pp.143-167
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• 2013

도서관의 인력은 도서관서비스 수준을 결정하고, 도서관의 수준은 한 나라의 지적 역량을 가늠하는 가장 핵심적인 역할을 한다. 본 연구에서는 현재 문헌정보학과에 재학 중인 학생들을 대상으로 사서직 취업전망에 대한 인식을 조사하기 위하여 설문을 수행하였다. 연구 결과 첫째, 도서관으로 취업하고 싶다는 비율이 40%로, 다른 분야에 비해 상당히 높게 나타났다. 그들은 사서직 고용환경에 대해 부정적인 견해를 가지고 있음에도 불구하고 향후 발전가능성이 있다는 취업전망을 가지고 있었다. 둘째, 설문응답자가 희망하는 업무로 '문화프로그램 등 업무'가 가장 높게 나타났다. 셋째, 현재의 교육과정에는 대체로 만족하지만 취업지원프로그램으로 진로지도와 취업멘토링, 인턴십에 대해 높은 요구도를 나타냈다. 넷째, 학생들은 학업성적, 어학능력, 각종 자격증 취득, 인턴 및 실습, 경력관리를 매우 중요한 취업요건으로 고려하고 있는 것으로 나타났다. 다섯째, 학생들의 직장선택에 영향을 주는 조직 환경적 요인은 보수와 복리후생, 자기발전 기회부여, 근무조건과 조직문화, 조직의 발전가능성 등의 순으로 나타났고, 개인적 요인은 개인의 적성, 취업분야 지식 및 기술 수준, 사회적 대우 및 인식, 전공일치여부, 직장과의 거리 등의 순으로 나타났다.

• Asia pacific journal of information systems
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• 제18권2호
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• pp.73-94
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• 2008

When individuals collaborated in virtual settings, communication is medicated through a variety of communication technologies, and is associated not only with communication effectiveness but also with socio-emotional interactions among group members. In this regards, scholars have examined how technology-mediated communication systems can be designed and used to facilitated communication interaction. However, the empirical results of the previous studies have revealed inconsistencies in the effects of communication media on users' behavioral or attitudinal responses, and on their viable effectiveness in organizations. Some studies claim that computer-mediated communication(CMC) is task-oriented but not suitable for emotional expression since it hinders close interpersonal interaction. On the other hand, some studies argue that individuals are able to develop interpersonal relationships more effectively in a CMC environment than in an FtF-environment. Due to the different perspectives, a theoretical gap exists, and it leads to the inconsistent research findings. The purpose of this paper is to combine the two different perspectives into single unified model, thereby providing a more realistic and comprehensive understanding about virtual collaboration. The present study here sought to answers the following questions with organizational communication perspective: What are the major components of virtual collaboration? What factors affect the performance of virtual collaboration? And what kind of managerial efforts should organization make in order to facilitate CMC media effectiveness in virtual collaboration? Although there is a certain belief that new media, namely technology-mediated communication support would create new opportunities, the problem of "how" or "why" has been an important question that is still not fully addressed. In this regards, we collectively reexamined previous literatures with major issues which are still controversial and integrated various theoretical activity within computer-mediated communication domain: task-oriented approach, socio-emotional approach, and evolutionary psychological approach. Our first contribution is to develop a framework for virtual collaboration by combining two different perspectives into a single unified model, providing a more realistic and comprehensive understanding. The second main contribution is the joint modeling of both social presence and cognitive effort, and the effects on two distinct but important communication outcomes(i.e., take performance and relational development). We tested the research hypotheses which were developed based on the various CMC theories using data gathered through a self-administered mail survey of 127 individuals of 69 virtual workgroups. The proposed model was supported, providing preliminary evidence that the tension between two opposite view should be integrated. The results show that the individual's psychological processes(social presence and cognitive effort) in a virtual environment significantly mediated the effect of CMC inputs (media richness, user adaptation, and shared contest) on the CMC outputs (task performance and relational development). Furthermore, this study shows that the lack of perceived media richness of CMC media can be complemented by user adaptation and shared context. Based on the results, we discuss how communication system should be designed and implemented so as to promote virtual interaction as well as how a virtual workgroup should be composed to complement the lack of media richness. A virtual collaboration using CMC media may create new value by overcoming the logistical constraints. On the other hand, it may also generate various managerial risks such as communicational depersonalization, process dissatisfaction, and low cohesion. Therefore, this study suggests that organization managers should carefully choose the CMC mediums and monitor individual member's cognitive and affective psychological processes during virtual collaboration to reduce potential risks in virtual collaboration.

• Asia Marketing Journal
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• 제15권2호
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• pp.49-73
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• 2013

In this study, the author develops and tests a model that incorporates the mediating effects of two frontline employee psychological variables (emotional exhaustion and intrinsic motivation) based on job demand and resource model. As a form of environmental resource, person-organization fit was proposed as a leading factor of frontline employee boundary spanning behavior through emotional exhaustion and intrinsic motivation. All measures were adapted from or developed based on prior research. Data for the study were collected from a cross-sectional sample of retail bank employees in South Korea. Questionnaires were distributed to 500 frontline employees across several banks. Of these, 322 usable questionnaires were returned. To analyze the data, a structural equation model procedure using LISREL 8.5 was employed. Results show that an employee's perceived fit with his/her organization enhances intrinsic motivation and reduces emotional exhaustion. These mechanisms, in turn, increase the employee's boundary spanning behavior. These results support the notion that person-organization fit should be one of the factors affecting motivation, affect and attachment, and extends such an understanding to a purely service-based environment among customer contact employees. Results also confirms that P-O fit can be viewed as environmental resources, and the JD-R model provides a theoretical base in further studying the antecedent role of P-O fit on frontline employees's boundary spanning behavior through intrinsic motivation and emotional exhaustion. These results suggest that organizations have to do their best to manage P-O fit, be it through employee screening or training and workshops to try and align organization and employee values and objectives. If managers of organizations are positively evaluated by the employees, it will be easier for them to, give things of value to employees, such as sense of direction, values, and recognition, and receive other things in return such as esteem and responsiveness. Consequently, organizational leaders are not only able to manage employee experiences, but also their fit with the organization. Even if a manager cannot control employee P-O fit, this research suggests, that a focus on reducing emotional exhaustion rather than increasing intrinsic motivation seems optimal. This research also supports the idea that motivation has a direct association with a frontline employee's boundary spanning behavior. Even in situations where emotional exhaustion cannot be reduced, organizations may still influence frontline behaviors through motivation.

• 서비스연구
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• 제13권4호
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• pp.206-223
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• 2023

인공지능과 같은 스마트 기술의 도입은 다양한 산업 분야에 막대한 영향을 미치고 있다. 일부 전문가들은 스마트 기술이 새로운 영역의 등장, 생산성 향상을 일으키며 사람들의 일상과 업무처리 방식을 완전히 바꿀 것이라고 전망한다. 반면 부정적인 시선과 우려 또한 존재한다. 일자리 뺏김, 실업률의 상승 등 고용에 대한 많은 사회적 논쟁이 일어남에도 불구하고 인공지능시스템과 고용 간의 갈등에 대한 근본적인 해결책을 제공해주는 종업원 경험 기반의 연구는 미비하다. 따라서 본 연구는 중국 호텔업을 중심으로 인공지능 컨시어지로봇이 호텔 종업원에게 미치는 영향과 관련 요인을 찾아내며 이에 대한 인식이 사용자 저항과 이직의도에 미치는 영향을 연구하고자 한다. 이를 위하여 인공지능 컨시어지로봇 서비스가 도입된 중국 내 호텔에서 근무하는 종업원 322명을 대상으로 설문조사 및 분석을 실시하였다. 분석결과 호텔 종업원들의 인공지능과 로봇에 대한 인식이 사용자 저항 및 이직 의도에 유의한 영향을 미치는 것을 확인하였으며, 이러한 영향은 종업원의 자기효능감, 조직적 지원, 인공지능 서비스의 품질과 새로운 업무처리 방식의 전환비용에 의해 결정된다는 것을 발견하였다. 더불어 인공지능 서비스의 품질이 직간접적으로 사용자 저항과 이직의도에 가장 큰 영향을 미치는 것으로 나타났다. 본 연구에서는 이러한 연구 결과를 토대로 학술적, 실무적 시사점을 제안하였다.

• Asia pacific journal of information systems
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• 제19권1호
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

• 한국사회복지학
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• 제54권
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• pp.65-97
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• 2003

본 논문은 사회복지노동조합에 대한 사회복지종사자들의 인식상태를 파악해 보고, 노동조합참여에 중요한 영향을 미치는 요인을 분석해본 후, 노동조합의 성공적 조직화에 도움이 될 수 있는 대안들을 탐색해 보았다. 노동조합에 대한 인식상태 분석결과, 대다수의 사회복지종사자들은 사죄복지노동조합 결성과 참여에 대해 긍정적인 생각을 가지고 있었으며, 사회복지종사자들의 조직화에 대해서는 노동조합과 전문가조직을 함께 구성하는 것이 좋다는 의견이 절대다수였고, 노동조합 설립을 위한 전략에 대해서는 사회복지종사자들의 의식제고, 노동조합 결성추진을 위한 기초조직 구성, 복지대상자 및 시민의 지지를 이끌어낼 개혁대안 마련 순으로 나타났다. 참여요인 분석결과, 분석모델내 독립변인 중에서는 행동에 대한 태도(긍정), 주관적 규범(준거인), 주관적 규범(사회성원들), 지각된 행동통제가 높을수록, 일반적 특성에서는 남성, 낮은 직위, 낮은 악력, 이용시설 종사자일수록, 근무환경적 특성에서는 시설운영의 민주성 전문성이 낮을수록, 근무시간이 길수록 노동조합 참여의도가 높은 것으로 나타났다. 노동조합의 성공적 조직화를 위한 과제로, 첫째 사회복지종사자들로 하여금 노동조합 참여가 본인들에게 긍정적 결과를 가져다 준다는 것을 인식하도록 활동을 전개하고, 둘째 사회복지종사자들의 노동조합 참여에 중요한 영향을 미치는 주변사람들로 하여금 노동조합 참여를 지지하도록 전략을 추진하며, 셋째 사회복지노동의 윤리성 전문성 비생산적 특성이 노동조합 결성과 배타적인 것이 아니라는 인식을 사회성원들이 가질 수 있도록 활동을 전개하고, 넷째 사회복지종사자가 본인의 의지에 의해 노동조합 가입이 자유스러울 수 있도록 조직환경을 조성하며, 다섯째 사회복지종사자, 사회복지대상자 및 시민의 지지를 이끌어 낼 정책대안을 개발하여 활동을 전개하고, 여섯째 사회복지노동조합 업무를 능률적으로 추진하기 위한 기반조직을 구성할 필요가 있다.

• 사회복지연구
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• 제49권3호
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• pp.5-33
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• 2018

자활은 지난 이십년간 우리나라의 대표적 근로연계복지제도로 존재해 왔음에도 불구하고, 그 개념에 대한 합의 없이 정책, 학계, 현장에서 제각기 이해되고 사용되어 왔다. 이는 최근 자활사업의 다양한 환경변화에 적절하게 대응하지 못하면서 자활의 정체성 위기를 초래하는 근본적인 원인이 되고 있다. 이에 본 연구는 자활을 이해하는데 있어서 현장 실무자들의 자활에 대한 심층적인 이해를 반영하여 자활 개념 정립을 시도한다. 총 35명의 자활사업 실무자들에 대한 6번의 집단심층인터뷰를 통해 자활 개념에 대한 심층적인 질적 자료를 수집하였다. 연구 결과 자활사업 실무자들은 '취창업을 통한 노동 시장에의 편입', '소득창출을 통한 수급 탈피'와 같은 정책 목적과 성과에 부응하기 위해 '경제적 측면의 성과'에 초점을 두고 정책지향적으로 자활을 이해하는 동시에 실천가의 관점을 반영하여 '이용자의 역량강화와 삶의 변화'에 초점을 두고 자활을 이해하는 것으로 분석되었다. 구체적으로 본 연구는 자활실무자들이 근로기회 제공과 경제적 자립을 위한 과정으로서 경제적 측면에서 이해하고 있는 동시에 정서적 역량강화와 동기부여, 근로장벽 극복과 같은 정서적 측면, 사회적 관계 형성과 회복을 통한 사회통합과 같은 사회적 측면, 그리고 삶의 회복과 주체적 삶을 위한 통합적 지원으로 이해하고 있음을 발견하였다. 이러한 자활에 대한 상반된 이해는 실천가들이 사회복지라는 직업적 미션과 성과지향적인 조직의 운영 사이에서 이용자의 역량강화 과정에 초점을 둘지, 아니면 단기적으로 성과평가를 위하여 취창업률과 탈수급률이라는 가시적 실적에 중점을 두어야 하는지 등 현장의 혼란과 왜곡된 자활 운영을 부추기고 있는 것으로 보여진다. 이러한 연구 결과로부터 본 연구는 결과이자 과정이며, 경제적, 정서적, 사회적, 일상생활 측면을 포함하는 다차원적 개념으로 자활을 이해할 필요성과 함께 이러한 자활의 특성을 반영한 실천 현장의 재설계의 필요성과 함의를 제안한다.

• 한국유통학회지:유통연구
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• 제15권1호
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• pp.49-71
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• 2010

본 연구는 가맹사업자의 자기효능감에 주목하여 정부가 예비가맹사업자들을 보호하기 위해 가맹본부에 다양한 규제와 정책을 사용하는 것이 최선의 방법이 아니라는 것에 관심을 두고 있다. 본 연구에서는 경로-목표이론(path-goal theory)에서 제시한 가맹본부의 리더십 행동 유형과 가맹사업자의 관계결속의 영향관계에 있어서 가맹사업자의 특성으로 자기효능감의 조절효과를 규명하고, 실증 분석한 결과 다음과 같은 연구의 시사점을 발견할 수 있었다. 첫째, 가맹본부의 리더십 행동유형이 관계결속에 긍정적 효과를 가져 온다는 사실이 확인됨으로써 가맹본부는 가맹사업자에게 맞는 리더십 행동유형을 적용할 수 있도록 하여야 한다. 둘째, 가맹사업자의 자기효능감이 관계결속에 긍정적 효과가 있을 뿐만 아니라, 리더십 행동유형과 관계결속 사이에 상당한 조절효과가 있기 때문에 가맹본부는 가맹사업자들의 개인차(individual difference) 관리가 필요하다. 셋째, 정부는 가맹본부를 규제할 것만이 아니라 가맹본부가 가맹사업자들의 특성을 확실하게 파악하고 기업의 목표달성을 위한 정당한 통제가 가능하도록 제도적 지원을 해야 할 것이다.

• 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.