• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.13-25
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• 2024

Local decline can be caused by business closures or the departure of the youth. Most countries have been striving to overcome regional inequality through local or community entrepreneurship using assets or contents obtained from differentiated and original embedded resources. The purpose of this study is to conceptualize local contents and local entrepreneurship. To reach the research goals, this paper utilizes the grounded theory as qualitative methodology. From the main findings, this paper suggests that entrepreneurship in the local is influenced by informal alley or specific location (regions) institution outputs so called as local contents which are local norm, culture, local identities. This paper conceptualizes local contents as 'product of creative scenario'. And this work also suggests the liner model for local content innovation. The contribution of this work are two: 1) showing how the local content creation process; 2) analyzing the how local entrepreneurship configures. It can be inclusive potential startups items rooted at the unique resources and assets of the locals and reflecting the originality of locality. In terms of local institutional perspectives, local development takes pace when advancing application of local entrepreneurship. In order for that, practical challenging is more needed by using informal local institutions. Also 'three step linear model' will be applied to educate the new creators. Local contents and local entrepreneurship can definitely rehabilitate locality.

• Information Systems Review
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• v.22 no.2
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• pp.77-99
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• 2020

Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.

• Convergence Security Journal
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• v.24 no.2
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• pp.89-104
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• 2024

This study is an empirical study to examine the factors that influence the intention to use artificial intelligence (AI) technology for SW engineering-related tasks, and the purpose of the study is to understand the key factors that influence the use in terms of AI augmentation characteristics and interactive UI/UX characteristics. For this purpose, a survey was conducted among information and communication workers who have experience in using AI-related technologies and the collected data was analyzed. The results of the empirical analysis showed that perceived usefulness was positively influenced by the factors of expertise, interestingness, realism, aesthetics, efficiency, and flexibility, and perceived ease of use was positively influenced by the factors of expertise, interestingness, realism, aesthetics, and flexibility. Variety had no effect on both perceived ease of use and perceived usefulness. Perceived ease of use had a significant effect on perceived immersion, which positively influenced intention to use. These findings are significant in that they provide an academic understanding of the factors that influence the use of AI-enhanced tools in SW engineering-related tasks such as application design, development, testing, and process automation, as well as practical directions for the creators of tools that provide AI-enhanced development services to develop user acquisition strategies.

• Information Systems Review
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• v.25 no.1
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• pp.27-46
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• 2023

Research on restaurant recommender systems has been proposed due to the development of the food service industry and the increasing demand for restaurants. Existing restaurant recommendation studies extracted consumer preference information through quantitative information or online review sensitivity analysis, but there is a limitation that it cannot reflect consumer semantic preference information. In addition, there is a lack of recommendation research that reflects the detailed attributes of restaurants. To solve this problem, this study proposed a model that can learn the interaction between consumer preferences and restaurant attributes by applying deep learning techniques. First, the convolutional neural network was applied to online reviews to extract semantic preference information from consumers, and embedded techniques were applied to restaurant information to extract detailed attributes of restaurants. Finally, the interaction between consumer preference and restaurant attributes was learned through the element-wise products to predict the consumer preference rating. Experiments using an online review of Yelp.com to evaluate the performance of the proposed model in this study confirmed that the proposed model in this study showed excellent recommendation performance. By proposing a customized restaurant recommendation system using big data from the restaurant industry, this study expects to provide various academic and practical implications.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.307-334
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• 2023

The purpose of this study is to examine the status of data librarian-related course syllabi in the 2023 American Library Association(ALA)-accredited degree programs in Library and Information Science (LIS). The present study examined LIS course syllabi related to data librarian including course titles, course objectives, course descriptions, weekly topics and assignments. ALA-accredited LIS programs offer various courses in data librarianship such as data management and curation, data analysis and visualization, metadata, information services, research methods, library management, academic libraries, computer programming and databases. This study collected 184 syllabi from the ALA-accredited LIS programs and selected and analyzed 127 syllabi that are related to data librarianship. The study examined 3,045 course titles, 2,559 course description from 61 LIS degree programs overseas, and 1,330 course titles from 37 LIS degree programs in Korea. This study found that LIS degree programs both in Korea and overseas offer various courses for data librarians. The researcher hopes the findings of this study will be used as a starting point to develop or redesign courses related to data librarianship in the information field.

• The Mathematical Education
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• v.63 no.2
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• pp.335-350
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• 2024

This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.

• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.27-34
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• 2024

사회적 기업가정신은 기업가정신 분야의 연구에서 많은 학자와 산업계의 관심을 받고 있는 주제이다. 특히 사회적 기업을 창업하거나 사회적 기업에서 일하고자 하는 사람들은 일반 사람들과 다른 어떤 특성을 가지고 있는지에 대해 선행 연구들은 공감, 도덕적 판단, 지각된 사회적 규범 등의 요소들로 설명하고 있다. 이는 전통적인 기업의 창업자와 비교되며, 사회적 기업가정신에 중요한 선행요소라고 말하고 있다. 그러나 공감능력이 뛰어나고, 공동체에서 사람들과 잘 어울리며, 남을 돕기 좋아하는 사람들이 반드시 사회적 기업가적 의도가 높은 것은 아니며, 이런 특성을 가진 모든 사람들이 사회적 기업에서 일하고자 하는 것은 아니다. 사회적 기업가적 동기에 관한 선행 연구 중에 동기와 행동을 연결하는 복잡한 매커니즘에 대해 설명한 연구는 거의 없는 상황이며, 대부분 공감(Empathy), 사회적 자기 효능감(Social Entrepreneurial Self-Efficacy), 도덕적 의무감 등의 요소를 규명하는데 집중되어 왔다는 한계가 있다. 본 연구는 지금까지 거의 연구되지 않았던 사회적 기업적 의도를 설명하는 타인 지향적 동기(other-oriented motives)와 사회적 기업 직업정체성에 관한 연구이다. 이를 통해 사회적 기업에 참여하려는 개인의 성향을 촉진시키는 요인은 무엇인지를 규명하고자 하였다. 전국 일반고, 특수목적고 및 특성화고등학교와 대안학교 학생 444명을 대상으로 설문조사를 실시하여 타인 지향적 동기요소인 친사회성 동기, 사회적 존재감과 사회적 기업 직업정체성의 관계 분석에 활용하였다. SPSS 26 버전을 활용하여 다중 회귀분석을 실시한 결과 사회적 기업에 대한 직업정체성에 친사회적 동기와 사회적 존재감은 긍정적인 영향을 미치고, 특히 사회적 존재감은 친사회적 동기와 직업정체성과의 관계에 부분 매개효과를 보였다. 결과적으로 역지사지 성향을 가지는 학생일수록 사회적 기업에서 일을 할 의도가 높아지고, 남을 돕고자 하는 의지가 높은 학생, 공동체 의식이 높은 학생일수록 사회적 기업에서 일을 하고자 하는 의지가 높다는 것을 알 수 있었다. 또한 사회적 존재감은 이 과정에서 간접적으로 유의미하게 긍정적인 영향을 미치는 것을 알 수 있었다. 본 연구는 사회적 기업에 대한 직업정체성에 영향을 미치는 선행요인을 규명하고 사회적 기업에 참여하려는 개인의 성향을 촉진하는 요인이 무엇인지 규명했다는 데 의의가 있다. 그리고 이 요인들이 교육을 통해 강화할 수 있으므로 사회적 기업 창업가 육성에 대한 새로운 방향을 제시한다.

• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.157-160
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• 2024

KAIST는 다수의 성공 창업 사례와 국내 창업생태계에서 기술창업 발생지로 역사적 의미를 이어오고 있다. 최근 KAIST의 교원 창업이 매년 증가하고 있으며 딥테크 분야 창업으로 성장률과 생존율이 매우 높게 나타나 많은 주목을 받고 있다. 국가적으로도 매우 중요한 혁신기술창업 집적지라는 평가를 받고 있다. 대표적인 기업가적 대학인 KAIST는 기술창업 요람이라고 불리며 오랫동안 캠퍼스 창업생태계를 구축해오고 있다. 또한, 대한민국 창업생태계가 발전하면서 창업기업을 가장 많이 배출시킨 기관으로 혁신적인 창업문화를 선도해 오고 있다. 최근 KAIST의 신문화전략 1 Lab 1 Startup 비전을 수립하였고, 과학기술의 우수한 기술력을 바탕으로 연구실 R&D 기술을 혁신창업으로 이어지는 사업화를 위한 변화와 혁신을 주도하고 있다. 신문화전략 이후 몇 년 동안 교원들이 더욱 창업에 많은 관심을 가지기 시작하였고, 실질적으로 KAIST의 혁신 창업기업 수가 증가하였다. 이러한 결과는 신문화 전략 외에도 다양한 교원창업 성공사례 확산, 교원창업 활성화를 위해 제도개선, 아이디어 발굴부터 기술사업화 지원, 자금조달, 비즈니스 모델 고도화, 기술사업화 및 글로벌 창업지원, 창업 인프라를 제공하고 있기 때문이다. 하지만 KAIST의 창업을 한 교수를 대상으로 세부적으로 기술창업 성공 사례와 핵심요인에 대해서 분석한 연구는 매우 부족하다. 이에 본 연구에서는 KAIST에서는 교원창업 분야에서 성공적인 창업기업을 배출되고 있는 현상에 관한 사례, KAIST의 특화된 창업지원프로그램 소개, 교원 창업 성공 사례들이 어떻게 가능한지에 관한 요인과 그 이유를 탐색하고자 한다. 교수 창업 활성화를 위한 규정, 제도, 창업지원프로그램 등에 대해서 분석을 하고자 한다. 그러므로 본 연구에서는 대표성이 있는 KAIST N차(연쇄 창업가) 창업을 한 A 교수의 사례를 중심으로 어떻게 지속해서 창업하고 있는지, 성공 요인이 무엇인지, 어떻게 하면 교원창업이 활성화될 수 있는지 요인들을 파악하고, 연쇄 창업 방법론이 무엇인지 사례조사와 함께 선행연구 문헌 자료 조사, 인터뷰를 중심으로 연구하여 대한민국에서 실질적인 교수창업이 활성화될 수 있는 활성화 모델을 제시하고자 한다. 따라서 본 연구를 통해 교원창업에 있어서 실질적인 애로사항, 현황, 여러 번 인터뷰를 통해 핵심 요인과 원인을 파악하고자 한다. 국가적으로 대학 교원 창업 활성화 모델이 필요한 시점에 실효성이 있고 성과를 창출할 수 있는 활성화 모델을 제시하여 대학의 우수한 연구, 인적 자원을 활용한 혁신 창업 활성화 모델을 새롭게 제시하여 기업가적 대학으로 발전하고 교원들이 적극적으로 창업에 관심을 가지고 성공적인 성과를 창출할 수 있도록 체계를 만들고자 한다. 본 연구에서 제시하는 A교수의 N차(5개 창업) 창업한 사례 연구를 통해 대학 교원들의 혁신창업 활성화를 위한 정책적, 실무적 시사점을 도출하고자 한다.

• Information Systems Review
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• v.21 no.4
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• pp.125-141
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• 2019

With the advent of deep learning technology, which is represented by AlphaGo, artificial intelligence (A.I.) has quickly emerged as a key theme of digital transformation to secure competitive advantage for businesses. In order to understand the trends of A.I. based digital transformation, a clear comprehension of the A.I. business ecosystem should precede. Therefore, this study analyzed the A.I. business ecosystem from the multi-actor network perspective and identified the A.I. platform strategy type. Within internal three layers of A.I. business ecosystem (infrastructure & hardware, software & application, service & data layers), this study identified four types of A.I. platform strategy (Tech. vertical × Biz. horizontal, Tech. vertical × Biz. vertical, Tech. horizontal × Biz. horizontal, Tech. horizontal × Biz. vertical). Then, outside of A.I. platform, this study presented five actors (users, investors, policy makers, consortiums & innovators, CSOs/NGOs) and their roles to support sustainable A.I. business ecosystem in symbiosis with human. This study identified A.I. business ecosystem framework and platform strategy type. The roles of government and academia to create a sustainable A.I. business ecosystem were also suggested. These results will help to find proper strategy direction of A.I. business ecosystem and digital transformation.

• Information Systems Review
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• v.21 no.1
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• pp.1-22
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• 2019

Mindfulness is the process of actively noticing new things. Today, companies have introduced and run mindfulness programs because the mindfulness has possible applications of productivity and innovation in corporation. However, role of mindfulness has not been clearly investigated in behavior research of Information System. The purpose of this study is to confirm the effects of mindfulness on technology acceptance process. Based on UTAUT Model, we examined how mindfulness in technology acceptance process moderate antecedent factors of acceptance intentions and use behavior. For empirical research, we conducted a survey on acceptance of smart watch of internet of things for employees of companies applying the mindfulness programs. then, we analyzed survey sample in empirical methodologies. Based on the empirical analysis, cognizance of alternative technologies in mindfulness factors increased the impact of performance expectancy on acceptance intention. Novelty seeking in mindfulness factors increased the impact of effort expectancy on acceptance intention. Awareness of local context in mindfulness factors decreased the impact of social influence on acceptance intention. engagement with technology in mindfulness factors increased the impact of facilitating conditions on use behavior. This study suggests academic implications and practical implications based on the results of the research. The implications will help to support and extend the theory of technology acceptance model while providing practical insights for IT acceptance by suggesting ways to utilize mindfulness in corporation.