• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.555-563
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• 2020

This study aimed to distinguish between predisposing factors influencing the entrepreneurial intentions of university and college students who completed an entrepreneurship education course and to empirically determine the relationship between entrepreneurial intention and entrepreneurial behavior. Since company foundation involves uncertainty, potential entrepreneurs are known to fear creating a new company. Entrepreneurship has been confirmed in advanced studies to not only reduce this fear but also positively influence one's entrepreneurial intention. This study presents a research model that connects entrepreneurship, entrepreneurial intention, and entrepreneurial behavior and verifies it via empirical analysis. It was confirmed as a result that entrepreneurial intention is positively influenced by actively engaging with changes of a certain product or service, problem-solving capability, resolving unexpected setbacks during company foundation, and expertise in the business field where the founded company belongs to. It was also confirmed that entrepreneurial intention has a positive influence on entrepreneurial behavior. In the conclusion of this study, importance and necessity of entrepreneurship education are discussed in order to essentially improve entrepreneurial intention and company foundation via entrepreneurship education.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.519-532
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• 2014

The emerging technologies for the natural computer interaction can give manufacturers new opportunities of product innovation. This paper is the study on a method of human communication about a finger gestures interaction. As technological advance has been so rapid over the last few decades, the utilizing products or services will be soon popular. The purpose of this experiment are as follows; What is the usefulness of gesture interaction? What is the cognitive impact on gesture interaction users. The finger gestures interaction consist of poking, picking and grasping. By measuring each usability in 2D and 3D space, this study shows the effect of finger gestures interaction. The 2D and 3D experimental tool is developed by using LeapMotion technology. As a results, the experiments involved 48 subjects shows that there is no difference in usability between the gestures in 2D space but in 3D space, the meaningful difference has been found. In addition, all gestures express good usability in 2D space rather than 3D space. Especially, there are the attractive interest that using uni-finger is better than multi-fingers.

• Journal of Science and Technology Studies
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• v.18 no.1
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• pp.177-217
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• 2018

This study examines the case of living lab applied in the R&D initiatives for solving societal problems and challenges. It discusses how to use the living lab in national R&D projects. The analyzed cases are 'Develop portable fundus camera for eye disease screening test to resolve health inequalities' and 'Auto-sensing integrated system development in rural pedestrian crosswalk'. As a result of the analysis, both cases were designed as a user participatory R&D structure by utilizing living lab. In other words, living lab has operated as a system that evolves technology-products-services into an infrastructure. It can realize final demand specification, product, service improvement and demonstration through continuous interaction of end users. As a result of the case analysis, the following policy tasks can be derived. First, living lab is a new concept and it is in the early stage of implementation in Korea. Therefore, it is necessary to monitor and evaluate living lab experiments and build suitable models for Korean society by sharing cases and achievements. Second, the strategic niche management are necessary for the introduction of living lab. Third, living lab can be used as a tool to transform the existing technology acquisition centered innovation policy to the policy for customer needs and problem solving. Fourth, there is a need for flexibility and adaptability in strategy and system to correct errors that appear in the living lab processes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.1-15
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• 2023

Impact investment involves investing in companies that pursue both social value and financial returns. It focuses on addressing various social problems through innovative solutions while generating profits. The domestic impact investment ecosystem has experienced significant growth with the support of the government and public institutions. In 2021, it witnessed a 3.5-fold increase over three years, reaching a total of 700 billion won in operating assets. In order to foster qualitative growth alongside this quantitative expansion, it is crucial to conduct research specifically on impact investment, which sets it apart from conventional venture investment. This study aims to empirically analyze the unique factors that influence impact investment decisions. Firstly, the factors affecting investment decisions were identified through a literature analysis. Then, a consultation and Delphi survey involving 11 representatives and evaluators from impact investment companies was conducted to determine the major investment determinants. Subsequently, an AHP (Analytic Hierarchy Process) survey was carried out with 10 impact investment evaluators to ascertain the relative importance of these factors. The analysis revealed the following order of importance for the top factors: market>entrepreneur(team)>product/service>finance. Furthermore, the importance of specific factors was identified in the following order: market competition and entry barriers>new market creation>market growth and potential expansion>team expertise and capabilities. Unlike previous studies that primarily focus on general startup investment factors, this research demonstrates that impact investment places greater emphasis on market-related factors and considers the sustainability and profitability of the business model to be more important than the social impact of social ventures.

• International Commerce and Information Review
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• v.16 no.4
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• pp.3-34
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• 2014

Nowadays to thrive on the intensively competitive environments based on drastic and rapid technical evolutions, exporting manufacturing companies need to keep very stable relationship with suppliers. Thus, analyzing key factors of strengthening relationship with suppliers in a B2B environment is important. In this regard, this study develops a research model to deeply understand key antecedents of relationship strength between B2B companies. Relationship quality was considered as the key factor affecting to the relationship strength. This study considers relationship satisfaction, trust, and relationship commitment as the factors of relationship quality. Moreover, technical service quality and relational service quality were considered to be the antecedents of relationship satisfaction, while communication and information exchange, relationship policies and practices, and opportunistic behavior were regarded as the antecedents of trust. The PLS method was applied for the empirical analysis of 107 companies data. The results indicated that the relationship commitment has a significant impact on relationship strength. Moreover, relationship satisfaction and trust had indirectly impact on relationship strength through relationship commitment. Although the quality of technical service quality had a significant impact on relationship satisfaction, relational service quality did not have a significant impact. While communication and information exchange, relationship policies, and practices had positively significant impacts, opportunistic behavior had a negative impact.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.57-74
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• 2017

The Electronic Shelf Label (ESL) is an alternative to the paper price label attached to merchandise shelves and is attracting attention as a retail IoT infrastructure that will lead the innovation of offline retail outlets. In general, when introducing a substitute product, the company tends to consider the financial factors such as the efficiency of the investment cost compared to the existing product or the reduction of the operating cost. However, considering only financial factors in the decision-making process, it may not properly reflect the various values associated with corporate strategy and the requirements of stakeholders. In this study, 8 evaluation items (Investment Cost, Operating Cost, Quality Level, Customer Management, Job Efficiency, Maintenance, Functional Expandability, and Store Image) based on BSC's 4 perspectives (Financial, Customer, Internal Business Process, Learning & Growth), and using AHP (Analytic Hierarchy Process) to measure the priorities of evaluation items for domestic small supermarket employees. As a result of the research, priority was given in order of Customer, Learning & Growth, Internal Business Process, and Financial aspects among the evaluation items for adopting the price label, and the electronic price label was supported with higher importance than the paper price label. In contrast to the priorities of the financial aspects of most prior studies, the items of Learning & growth and customer perspectives have relatively high priorities. In particular, respondents classified by job group, The priorities of the 8 evaluation items were different among the groups. These results are expected to provide implications for both companies (retail outlets) and ESL providers (manufacturers and service providers) who are considering the introduction of ESL.

• Information and Communications Magazine
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• v.25 no.1
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• pp.5-11
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• 2008

우리 경제의 성장잠재력 저하에 대한 우려가 심화되는 상황에서 국민소득 2만불 시대 견인을 위해 2004년 수립한 IT 산업 발전전략이 IT839이다. 신성장동력 핵심기술 개발 등 IT839전략에 힘입어 세계 최초로 WiBro, DMB 기술개발과 국제표준화에 성공하는 등 IT분야 기술개발을 주도하여, 선진국과의 기술격차가 1년 이상 단축되었으며, 특히, 이동통신 DIV 분야는 미국, 일본 등 선진국 수준으로 경쟁력이 향상되는 성과를 보았다. 한편, 최근 IT를 둘러싸고 있는 환경은 IT를 기반으로한 융복합화 진전, 글로벌화 심화, 인터넷 확산과 웹의 진전이다. 2008년에는 이런 환경변화 속에서 IT산업의 지속적인 성장을 위한 전략을 수립.추진할 계획이다. 무선 융합환경에서 신시장 창출 및 선점, 고부가가치 IT산업의 집중 육성, IT중소기업, 핵심인력 양성 등 경쟁력 향상을 위한 기반 구축도 강화한다. IT R&D 정책은 기초 원천기술분야 R&D 투자비중을 확대하고, IT와 비IT융합 등 융합분야 기술개발 투자도 확대할 것이다. 혁신형 IT 중소기업 육성을 위해 민간 정책협력 네트워크인 IT전문협의회 운영을 개선하고, 중소기업의 원가절감을 위한 공통서비스 확대, 대 중소 기업의 상생협력을 제도화는 등 IT정책 인프라도 고도화한다. 또한, 반도체, 디스플레이 이후의 글로벌 주력품목군으로 IT SoC, u-센서, IT-BT-NT 융합분야 등 3대 핵심분야를 선정하여 집중 육성하고, 부품기업간 협업 활성화를 적극 유도할 것이다. 시장이 원하는 글로벌 수준의 인재양성을 목표로 공학교육인증 확산, IT 융합분야를 중심으로 대학의 R&D 지원도 강화하며, 전공역략을 갖춘 IT 전문인력, 석박사급 핵심 연구개발 인력, IT재직자 교육 등 시장이 원하는 맞춤형 인력양성도 병행 추진한다. 마지막으로 SW산업의 글로벌 경쟁력을 제고하고 신시장 창출을 위해 노력도 강화한다. 조선, 자동차 등 비 IT분야의 SW활용을 확산하기 위한 선도프로젝트를 추진하고, 틈새분야 중 세계적 시장점유율을 갖춘 중소기업 제품에 임베디드SW를 탑재하여 첨단기능을 구현하는 시범사업도 적극 추진할 계획이다.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.153-160
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• 2019

In this study, The purpose of this study is to analyze how the rating scale and review contents attributes of social network-based services and products affect consumer purchasing patterns. information provided by screening the main factors. These analyzes are closely and quickly integrated between individuals and businesses, and enable to analyze the transaction that the impact of changing consumers on consumption and purchasing through the usefulness and a priori estimates of reviews and ratings at this time when networks and smart technologies are involved in a wide range of consumer activities. For this study, hierarchical analysis (AHP) and delphi (Delphi) methods applied to classify the high end variables into usefulness, technicality and value, Each subvariable was grouped into three factors and analyzed for importance through evaluation weights. As a result, we could analyze the importance of durability, usefulness, technological innovation, and cost and quality of value. Therefore, this study is expected to provide supplementary and additional useful information to consumers and companies participating in economic activities in various ways by simultaneously analyzing the review score and the reliability of posting information provided by verifying the main factors.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.93-111
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• 2013

As Internet and information technology (IT) continues to develop and evolve, the issue of big data has emerged at the foreground of scholarly and industrial attention. Big data is generally defined as data that exceed the range that can be collected, stored, managed and analyzed by existing conventional information systems and it also refers to the new technologies designed to effectively extract values from such data. With the widespread dissemination of IT systems, continual efforts have been made in various fields of industry such as R&D, manufacturing, and finance to collect and analyze immense quantities of data in order to extract meaningful information and to use this information to solve various problems. Since IT has converged with various industries in many aspects, digital data are now being generated at a remarkably accelerating rate while developments in state-of-the-art technology have led to continual enhancements in system performance. The types of big data that are currently receiving the most attention include information available within companies, such as information on consumer characteristics, information on purchase records, logistics information and log information indicating the usage of products and services by consumers, as well as information accumulated outside companies, such as information on the web search traffic of online users, social network information, and patent information. Among these various types of big data, web searches performed by online users constitute one of the most effective and important sources of information for marketing purposes because consumers search for information on the internet in order to make efficient and rational choices. Recently, Google has provided public access to its information on the web search traffic of online users through a service named Google Trends. Research that uses this web search traffic information to analyze the information search behavior of online users is now receiving much attention in academia and in fields of industry. Studies using web search traffic information can be broadly classified into two fields. The first field consists of empirical demonstrations that show how web search information can be used to forecast social phenomena, the purchasing power of consumers, the outcomes of political elections, etc. The other field focuses on using web search traffic information to observe consumer behavior, identifying the attributes of a product that consumers regard as important or tracking changes on consumers' expectations, for example, but relatively less research has been completed in this field. In particular, to the extent of our knowledge, hardly any studies related to brands have yet attempted to use web search traffic information to analyze the factors that influence consumers' purchasing activities. This study aims to demonstrate that consumers' web search traffic information can be used to derive the relations among brands and the relations between an individual brand and product attributes. When consumers input their search words on the web, they may use a single keyword for the search, but they also often input multiple keywords to seek related information (this is referred to as simultaneous searching). A consumer performs a simultaneous search either to simultaneously compare two product brands to obtain information on their similarities and differences, or to acquire more in-depth information about a specific attribute in a specific brand. Web search traffic information shows that the quantity of simultaneous searches using certain keywords increases when the relation is closer in the consumer's mind and it will be possible to derive the relations between each of the keywords by collecting this relational data and subjecting it to network analysis. Accordingly, this study proposes a method of analyzing how brands are positioned by consumers and what relationships exist between product attributes and an individual brand, using simultaneous search traffic information. It also presents case studies demonstrating the actual application of this method, with a focus on tablets, belonging to innovative product groups.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.165-174
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• 2016

Recently, global economic recession has a significant influence on promoting launch of start-ups around the world. As is often the case, powerful and bright entrepreneurship is required so that the start-ups may be successful in their target markets. Despite the fact that numerous studies about impact of the entrepreneurship on start-ups exist in literature, there is no study attempting to recognize importance of social learning about entrepreneurship on individual creativity of those who have intentions to become entrepreneurs of start-ups. In this sense, this study proposes a new research model in which social learning about entrepreneurship is assumed to have an influence on individual creativity of start-ups candidates. For the sake of proving the proposed research model more rigorously, we include those constructs such as para-social interaction, imitation of role model, and internal motivation. We garnered 89 valid questionnaires from college students who were invited to the experiments designed for this study. Results proved that para-social interaction and imitation of role model affect internal motivation significantly, which in turn affects individual creativity positively. These results also provide theoretical directions revealing the embedding process of entrepreneurial capital among society.