국내 과학관 수는 지난 10여년 동안 양적으로는 팽창하고 있으나, 대부분이 중소규모의 과학관으로 인력부족 및 과학전시 컨텐츠 부족에 따라 운영에 어려움을 겪고 있다. 이에 따라 과학관이 보유하고 있는 전시 컨텐츠의 DB구축 및 정보 공유를 통해 과학관간 상호 교환 및 교류를 촉진할 수 있는 과학관 전시 플랫폼 구축이 요구되고 있는 실정이다. 국외 선진 과학관의 경우 자연사 컨텐츠의 전산화 및 DB 구축을 통해 대국민 검색서비스를 제공하여 전시품 등을 다양하게 활용하고 있는 추세이다. 따라서 본 연구에서는 과학관에서 활용가능한 자연사 컨텐츠 중, 곤충을 중심으로 이들의 전시 컨텐츠 발굴 및 DB확보 현황과 향후 플랫폼 구축 계획에 대해 소개하고자 한다.

테러의 위협이 더욱 심각해지고 있는 서구유럽과 미국 등에서는 소셜 네트워크를 이용한 극단주의로의 급진화가 더욱 진화하고 있다. 외국의 극단적 테러집단들 뿐만 아니라 일반인들이 이용하는 주요 소셜 플랫폼을 악용하는 사례들과 심각성이 보고되고 있다. 이 같은 소셜네트워크의 극단주의적인 메시지를 전달이 미국과 서구유럽에서는 매우 심각한 문제로 대두되고 있으며 학계에서도 관련 연구가 수행되고 있다. 반면 국내에서는 소셜 네트워크를 통한 극단적 사회 및 정치적 이념과 견해에 대한 조직화, 또는 급진화에 대한 체계적인 연구가 매우 부족한 실정이다. 이와 같은 연구의 부재는 관련 정책이나 적절한 입법적 대응에 대한 기초연구자료를 제시하지 못한다는 현실적인 문제점이 된다. 따라서 본 연구는 관련 주제에 대한 국외의 선행연구를 문헌분석하여 소개하였다. 특히 Jensen 등의 PIRUS 데이터의 분석결과를 중심으로 다수의 선행연구들을 분석하여 증거기반 연구결과들을 분석ᆞ소개하였다. 또한 본 연구의 중요한 부분으로 극단주의 메시지의 소셜 플랫폼 이용과 관련해서 미국 등지에서 논의되고 있는 입법적 대응과 관련한 법적인 이슈들도 논의하였다. 마지막으로 이 연구는 국외 선행연구의 문헌분석결과를 통해 극단주의적 견해를 가지는 개인들의 소셜 네트워크 활동과 관련한 소셜 플랫폼에 대한 국내의 정책 및 입법 관련 논의점과 시사점을 제시하였다.

새로운 가능성의 탐험(Exploration)과 기존 확실성의 활용(Exploitation)간 균형은 조직 학습뿐 아니라 전략, 혁신, 연구개발의 중요한 문제다. 기술의 융복합화 트렌드 속에 기업들은 지속적 경쟁 우위를 위해 기술 지식 자산을 가급적 다양하게 보유하려는 동시에 특정 분야에 깊은 기술 역량을 가지려 한다. 기업들은 기술 포트폴리오 전략 고민하지만, 기술 속성에 대한 고려는 제한적이다. 첨단 기술의 대표인 나노기술은 기존의 제품 및 사업 중심 기술과 달리 다양한 분야에 활용되는 일반목적기술 또는 플랫폼 기술 속성을 가지고 있다. 본 연구는 다국적 기업들이 플랫폼 기술로서 나노기술에 대해 탐험과 활용, 즉 다각 화와 특정 기술 우위 관점의 포트폴리오 전략이 혁신 및 재무 성과에 어떤 영향을 미치는지를 패널 데이터 기반으로 다중 회귀 분석을 하였다. 본 연구의 실증 분석결과는 기존의 제품 기술들과 달리, 플랫폼 기술로서의 나노기술은 다각화와 특정 기술 우위가 증가할수록 혁신 성과와 재무 성과에 모두 긍정적인 영향을 주는 것으로 나타났다. 또한 나노기술의 포트폴리오 형태, 즉 다각화와 전문성 기반의 특정 기술 우위 중에, 다각화된 나노기술 포트폴리오가 특정 기술에 우위를 갖는 경우보다 혁신 성과와 재무 성과를 향상시 키는 데 더 많은 기여를 하고 있다는 결과를 얻었다. 이는 기업들이 자원의 제약하에서 일반목적 기술의 경우 포트폴리오 전략에 어떻게 추구하는 것이 효율적인지를 시사한다.

Courses on the motion and operation of remotely operated vehicles (ROV) tend to feature abstract theoretical concepts, numerous formulas, combinations of mathematical and physical concepts and teaching that is disconnected from practice. As with the development of computer technology, the dynamic connection between the combination of the highly-realistic visual effects of simulation and theoretical classroom teaching has the aesthetic characteristics of a physical science. In this study, a virtual teaching platform for ROVs was developed on the basis of current virtual simulation technologies, as well as the needs of courses focused on ROV motion and operation. Based on detailed analyses of the functional and performance requirements of a virtual teaching platform for ROVs, the system was subdivided into six subsystems: remote-control simulation, dynamic and kinematic mathematical modeling, underwater operation tools simulation, visual scene display, teacher control and network administration, using an object-oriented design method featuring modularization and standardization. The subsystems facilitate modular development, integration and function extension, and support the openness, inheritance and reusability of the system. The platform is used to intuitively acquaint students with ROVs’ kinetic characteristics and operating methods by means of intuitive 3D models, precise motion calculation, and real operating scenes. Based on teaching practice in colleges and universities, a typical work-task-oriented practical teaching system was developed, along with the application of course design and scenario design for the ROV virtual teaching platform. Through interactive operation, students can dynamically and intuitively observe the motion of ROVs during navigation, helping them to learn about hydrodynamic performance. With simulated ROV operation, students learn about the principles of dynamic mechanical tools as well as the relationships between the interaction forces of ROVs. This contributes to disciplinary progress in naval architecture and ocean engineering, as well as the development of students’ practical engineering competence.

With the recent development of manufacturing technology and the diversification of consumer needs, not only the process and quality control of production have become more complicated but also the kinds of information that manufacturing facilities provide the user about process have been diversified. Therefore the importance of big data analysis also has been raised. However, most small and medium enterprises (SMEs) lack the systematic infrastructure of big data management and analysis. In particular, due to the nature of domestic manufacturing companies that rely on foreign manufacturers for most of their manufacturing facilities, the need for their own data analysis and manufacturing support applications is increasing and research has been conducted in Korea. This study proposes integrated analysis platform for process and quality analysis, considering manufacturing big data database (DB) and data characteristics. The platform is implemented in two versions, Web and C/S, to enhance accessibility which perform template based quality analysis and real-time monitoring. The user can upload data from their local PC or DB and run analysis by combining single analysis module in template in a way they want since the platform is not optimized for a particular manufacturing process. Also Java and R are used as the development language for ease of system supplementation. It is expected that the platform will be available at a low price and evolve the ability of quality analysis in SMEs.

This study focuses on the value of social platform and investigates the relationships between knowledge sharing and customer value. The study examines the effects of social network attributes on knowledge sharing in social platforms, and the effects of knowledge sharing on customer value in social platforms. In the context of social platform, this study clarifies the concept of customer value, the role of knowledge sharing, and the relationships between knowledge sharing and customer value. The study builds a theoretical model regarding social platforms and customer value that offers implications for advertising & PR practitioners.

Introduction In order to solve the information asymmetry and make full use of resources (unused goods, spare capacity and so on), the sharing economy, which based on the application of mobile internet technology and focused on the consumption of the right to use, is developing rapidly. Lack of trust is considered to be one of the important problems hindering the development of sharing economy. Möhlmann (2015) said that trust is a fundamental determinant of sharing economy development and ensuring shared satisfaction. At present, sharing economy enterprises have established product evaluation system and docked a third party credit rating system (i.e. Zhima Credit) to promote consumers’ trust. However, with most enterprises are becoming more and more consistent in evaluation and credit rating system, there is a new problem emerged: how to further deepen consumers’ trust in order to promote consumers’ intention to participate continuously (Zucker, 1986; Lewis & Weigert, 1985). Granovetter (1985) mentioned that trust is the product of social relationships. Botsman and Rogers (2011) made it clear that social networks play an important role in building trust in sharing economy. And people are always more willing to accept the opinions of people who have social relations with them (Lu, Zhao, & Wang, 2010). Hence, with the feature of participant of everyone in sharing economy, it is necessary to further strengthen consumers’ trust through the social interaction among consumers and between consumers and sharing platforms. Theoretical Development Sharing economy is based on LBS and other new technologies to realize the matching of supply and demand information across time and space. And to a certain extent, it solves the problem of information asymmetry in the era of e-commerce. Yet consumer have new requirements for product information. For example, consumers are more concerned about whether the utility of products and services can meet their needs (i.e. some consumers are more concerned about when to reach their destination than the performance of the car). But it is difficult for company to understand each everyone of consumers’ utility preference and publish product utility information based on these preferences (Xie & Gerstner, 2007). Because this kind of utility preference has the characteristic of timeliness and personalization. Therefore, consumers’ perceived uncertainty about the utility of the product will also affect the consumers’ trust. In summary, we then address these research questions:(1) can the promotion of trust between consumers and sharing platforms be achieved through the socializing of sharing platforms and then affect consumers’ intention to participate continuously; (2) if so, which type of privacy protection method and social information can promote consumer trust; and (3) does the impact of sharing platform socialization on consumer trust vary according to consumers’ concerns about the perceived utility uncertainty of the product. Research Design We then address these issues using experiment data. The first experiment was a 2 (social media: have, not have) x 2 (individual trust propensity: trust, not trust) between-subject design on the intention to trust sharing platform and participant continuously. Perceived utility uncertainty was added to this design as a moderator. Moreover, the second experiment was a 2 (social information type: hedonic, utilitarian) x 2 (degree of privacy protection: week, strong) between-subject design on the intention to trust sharing platform. Our scales come from existing scales and optimize it according to the characteristics of sharing economy (Schneider, 1999; Dhar & Wertenbroch, 2000; McKnight, Choudhury, & Kacmar, 2002). Results and Conclusion The results of the first experiment show that whether or not the social platform has no significant impact on the consumer trust if the individual tends to trust others. And for individuals who tends to do not trust others, they are more likely to trust socialized sharing platforms. The higher the consumer perceived utility uncertainty is, the higher (lower) trust of the consumer platform in the socialized (not socialized) sharing platform. For the second experiment results, in the context of sharing economy, the utilitarian information has a greater positive impact on the consumer trust than the hedonic information. In addition, the stronger the privacy protection of sharing platforms, the higher the trust of consumes. This study makes several academic contributions. First, we extend the topic of socialization to sharing economy context. Second, we add the perceived utility uncertainty as a moderator, and supplement the role of perceived uncertainty. This research also provides several practical implications. First, sharing platform can promote their consumers’ trust by establishing their own social platform. This platform can be used as a differentiated competitive strategy for sharing platform. Second, sharing platform should guide consumers to share utilitarian information (i.e. weather for specific place or real time traffic) to improve consumer satisfaction. Third, sharing platform can access consumer preference information through this social platform for further product development and classification.

The number of individuals using peer-to-peer and access-based services through collaborative consumption platforms (CCP) has been grown dramatically for a few reasons. CCP makes consumers convenient because it enables individuals trade directly without contacting each other. Thus, CCP, a digital platform, encourages more consumers to use access-based. CCP is temporal access-based service to a good. A good is usually accessed and traded in the absence of a service provider representative through CCP, and thus, misbehavior can occur and then be diffused into other consumers. Most of CCPs are based on digital platform, which provides participants with space where they can trade. Because the interactions in CCP is usually non-face to face communication and the participants tend to have similar interests and chat with task-oriented and low socio-emotional content, they can feel submerged in a crowd and indistinguishable from others. That is, participants feel like the sense of deindividuation which means to lose all sense of individuality. When participants face misbehavior of multiple previous customers, such deindividuation makes them conform social norm that they think that others do misbehavior as well. Based on social identity theory and deindividuation, this research examines the mediating effect of deindividuation on the relationship between previous misbehavior and misbehavior and the moderating effect of the self-disclosure on the relationship between previous misbehavior and deindividuation.

Since more and more consumers rely on online consumer reviews in their purchase decision making, we have observed the emergence of empirical studies on online reviews in different contexts. Such studies look at various dimensions surrounding online reviews; nevertheless, none of them actually gives a more comprehensive picture as to the rating differences across online rating platforms and/or across time, let alone explains such differences. This study aims to address these understudied but managerially relevant issues. In our empirical study, we focus on hotel ratings across platforms and across time (i.e., across identified change point in time), and explain such differences by review text associating with the ratings. We investigated San Francisco hotels that were rated on both Tripadvisor and Expedia, and utilized the General Inquirer dictionary to identify the categories of words in a review. Regressions analyses were then conducted for the explanation of rating differences. We found that rating differences, in both the cross-platform and the longitudinal cases, are substantially associated with the number of words (in a negative relationship). Furthermore, word tags identified from the review text associated with ratings also explain the rating differences. To conclude, the research reveals that for a specific service provider, online ratings may vary significantly in both the cross-platform and the longitudinal senses. It demonstrates that adopting a systematic approach and utilizing an established semantic dictionary, information extracted from review text can substantially explain such differences.

Introduction In order to solve the information asymmetry and make full use of resources (unused goods, spare capacity and so on), the sharing economy, which based on the application of mobile internet technology and focused on the consumption of the right to use, is developing rapidly. Lack of trust is considered to be one of the important problems hindering the development of sharing economy. Möhlmann (2015) said that trust is a fundamental determinant of sharing economy development and ensuring shared satisfaction. At present, sharing economy enterprises have established product evaluation system and docked a third party credit rating system (i.e. Zhima Credit) to promote consumers’ trust. However, with most enterprises are becoming more and more consistent in evaluation and credit rating system, there is a new problem emerged: how to further deepen consumers’ trust in order to promote consumers’ intention to participate continuously (Zucker, 1986; Lewis & Weigert, 1985). Granovetter (1985) mentioned that trust is the product of social relationships. Botsman and Rogers (2011) made it clear that social networks play an important role in building trust in sharing economy. And people are always more willing to accept the opinions of people who have social relations with them (Lu, Zhao, & Wang, 2010). Hence, with the feature of participant of everyone in sharing economy, it is necessary to further strengthen consumers’ trust through the social interaction among consumers and between consumers and sharing platforms. Theoretical Development Sharing economy is based on LBS and other new technologies to realize the matching of supply and demand information across time and space. And to a certain extent, it solves the problem of information asymmetry in the era of e-commerce. Yet consumer have new requirements for product information. For example, consumers are more concerned about whether the utility of products and services can meet their needs (i.e. some consumers are more concerned about when to reach their destination than the performance of the car). But it is difficult for company to understand each everyone of consumers’ utility preference and publish product utility information based on these preferences (Xie & Gerstner, 2007). Because this kind of utility preference has the characteristic of timeliness and personalization. Therefore, consumers’ perceived uncertainty about the utility of the product will also affect the consumers’ trust. In summary, we then address these research questions:(1) can the promotion of trust between consumers and sharing platforms be achieved through the socializing of sharing platforms and then affect consumers’ intention to participate continuously; (2) if so, which type of privacy protection method and social information can promote consumer trust; and (3) does the impact of sharing platform socialization on consumer trust vary according to consumers’ concerns about the perceived utility uncertainty of the product. Research Design We then address these issues using experiment data. The first experiment was a 2 (social media: have, not have) x 2 (individual trust propensity: trust, not trust) between-subject design on the intention to trust sharing platform and participant continuously. Perceived utility uncertainty was added to this design as a moderator. Moreover, the second experiment was a 2 (social information type: hedonic, utilitarian) x 2 (degree of privacy protection: week, strong) between-subject design on the intention to trust sharing platform. Our scales come from existing scales and optimize it according to the characteristics of sharing economy (Schneider, 1999; Dhar & Wertenbroch, 2000; McKnight, Choudhury, & Kacmar, 2002). Results and Conclusion The results of the first experiment show that whether or not the social platform has no significant impact on the consumer trust if the individual tends to trust others. And for individuals who tends to do not trust others, they are more likely to trust socialized sharing platforms. The higher the consumer perceived utility uncertainty is, the higher (lower) trust of the consumer platform in the socialized (not socialized) sharing platform. For the second experiment results, in the context of sharing economy, the utilitarian information has a greater positive impact on the consumer trust than the hedonic information. In addition, the stronger the privacy protection of sharing platforms, the higher the trust of consumes. This study makes several academic contributions. First, we extend the topic of socialization to sharing economy context. Second, we add the perceived utility uncertainty as a moderator, and supplement the role of perceived uncertainty. This research also provides several practical implications. First, sharing platform can promote their consumers’ trust by establishing their own social platform. This platform can be used as a differentiated competitive strategy for sharing platform. Second, sharing platform should guide consumers to share utilitarian information (i.e. weather for specific place or real time traffic) to improve consumer satisfaction. Third, sharing platform can access consumer preference information through this social platform for further product development and classification.

With the recent development of manufacturing technology and the diversification of consumer needs, the process and quality control of production have become more complicated. In particular, due to the nature of domestic manufacturing companies that rely on foreign manufacturers for most of their manufacturing facilities, the need for their own data analysis and manufacturing support applications is increasing and research has been conducted in Korea. This study proposes integrated process and quality analysis platform supporting analysis template considering manufacturing big data DB interworking and data characteristics. In addition, the platform is implemented in two versions, web and CS, in consideration of user accessibility.

RNA interference (RNAi) has been considered as an alternative strategy to control agricultural pest whereby double-stranded RNA triggers a potent and specific inhibition of its homologous mRNA. Since small dsRNAs are required for various RNAi applications, there is a need for cost-effective methods for producing large quantities of high-quality dsRNA. In this study, Bacillus thuringiensis (Bt) based dsRNA production platform was established under control of sporulation-dependent promoter and vp1 gene of Sacbrood virus (SBV) was introduced. The dsRNA against vp1 gene produced from the Bt suppressed the replication of SBV. In addition, the dsRNA was assembled into inulin coated-nanoparticle to increase stability of dsRNA in environment.

The virus-like particle (VLP) is similar to a pathogenic virus and has a high immunogenicity. However, in the selection of various structural proteins to form VLP, all expression systems commonly consume most of the time and suffer from various difficulties. Therefore, there is a need for a system that can rapidly determine the structural proteins required for effective VLP production. This study aims to construct a transient expression platform using insect cells to solve this problem. Plasmid-based expression vectors and baculovirus-inducible expression vectors were constructed. The vectors were evaluated for overexpression using EGFP. We also confirmed the formation of virus like particles through overexpression of virus structural proteins.

본 연구는 농업 및 정보 통신 기술의 융합을 기반으로 국내외 스마트 농장 서비스 모델을 검토하고 한국의 스마트 온실을 개선하기 위해 필요한 다양한 요인을 조사 하기 위해 수행되었다. 국내 스마트 온실의 작물 생육모델 및 환경모델에 관한 연구는 제한적이었고, 연구를 위한 인프라를 구축하는 데는 많은 시간이 필요하다. 이러한 문제의 대안으로 클라우드 기반 연구 플랫폼이 필요하다. 제안된 클라우드 기반 연구 플랫폼은 통합 데이터, 생육 환경모델, 구동기 제어 모델, 스마트 온실 관리, 지식 기반 전문가 시스템 및 농가 대시보드 모듈을 통해 통합적 데이터 저장 및 분석을 위한 연구 인프라를 제공한다. 또한 클라우드 기반 연구 플랫폼은 작물 생육환경, 생산성 및 액추에이터 제어와 같은 다양한 요인들 간의 관계를 정량화하는 기능을 제공하며, 연구자는 빅데이터, 기계 학습 및 인공지능을 활용하여 작물 생육 및 생장 환경 모델을 분석할 수 있다.

More people travel oversea as the economic size of Korea is getting larger and more new jobs are requested to be created by the society. To respond to these trend and request, Incheon International Airport Corporation (IIAC) is about to expand its processing capability with a new terminal; 54 million passengers to 72 million. IIAC is also introducing new strategies such as open innovation (OI) and creating shared value (CSV). With these changes, IIAC faces new challenges of restructuring its business and organization with new ideas. Most organizations including IIAC are becoming more dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the OI paradigm which is reported as a convincing strategy to improve competitiveness in terms of budget and time-to-market. OI is to quickly react to the rapidly changing business environment and is adopted to support startup incubation. In the previous research with IIAC, three major tasks were defined; utilizing the IIAC brand power for external vendors, building a technology road-map, and introducing a collaboration support system. This paper deals with the collaboration system as proposed in the previous research. We focused on the collaboration process for startup incubation. Cases were studied; the K-startup model by the government, a university model to explore youth startups, and a R&D institute model to study professional startups. Based on the case studies, we defined an IIAC model and proposed issues to take care of. The model is distinguished from the other studied models since IIAC is a prospective customer of new technology.