• Title/Summary/Keyword: 로컬창업

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Categorization of Creating Shared Value Activities Towards Rural Area (농촌을 대상으로 한 공유가치창출(CSV) 활동의 유형화)

  • Kang, Chung Han;Lee, Dong Min;Moon, Jung Hoon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.6
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    • pp.171-181
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    • 2014
  • CSV(Creating Shared Value) model was proposed by Porter and Kramer (2011) to address relationship between businesses and society. Namely, it means that CSV deals with business value and social problem solving simultaneously. In this paper, the notion of CSV was applied to the food enterprise, and the cases of CSV with farming area were discovered. Especially, this paper proposed the framework for analyzing CSV activity based on the three-level of CSV suggested by Porter and Kramer (2011) and strategic options for vertical coordination proposed by Peterson et al. (2001). As a result of case analysis applying the proposed framework in this study, three types of CSV activity were discovered: Local food type, downstream support type, and joint corporate establish type. Local food type creates CSV based on momentary purchase or specification contract as strategic options for vertical coordination. Downstream support type creates CSV mainly based on relation-based alliance as a strategic option for vertical coordination. Lastly, joint corporate establish type creates CSV based on equity-based alliance as a strategic option for vertical coordination. This paper contributed to the CSV literatures for discovering cases of CSV with farming area and categorizing discovered cases applying proposed framework.

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Multiple Case Analysis Study on Business Model Types and Components of Startups: Focusing on Leading Overseas Smart Farm Companies (스타트업의 비즈니스 모델 유형 및 구성요소에 대한 다중 사례 분석 연구: 해외 스마트팜 선도기업을 중심으로)

  • Ahn, Mun Hyoung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.6
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    • pp.41-55
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    • 2023
  • In order to secure sustainable competitiveness of startups, business model innovation is an important task to achieve competitive advantage by transforming the various elements that make up the business model. This study conducted a multi-case analysis study on leading smart farm companies around the world using an analysis framework based on business model theory. Through this, we sought to identify business model types and their constituent elements. For this, 19 companies were selected from the list of top 10 investment startups of the year for the past three years published by Agfunder, a global investment research company specializing in AgTech. Then data collection and analysis of the company cases were conducted according to the case study protocol. As a result of the study, the business model types were analyzed into four types: large-scale centralized production model, medium-to-large local distributed production model, small-scale hyperlocal modular FaaS model, and small-scale hyperlocal turnkey solution supply model. A comparative analysis was conducted on five business model components for each type, and strategic implications were derived through this. This study is expected to contribute to improving the competitiveness of domestic smart farm startups and diversifying their strategies by identifying the business models of overseas leading companies in the smart farm field using an academic analysis framework.

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Online Network Analysis of the Impact of Local Market-based Communities on Regional Revitalization (시골장터 기반 로컬 커뮤니티가 지역활성화에 미치는 영향에 대한 온라인 네트워크 분석)

  • Park, Jeong Sun;Park, Sang Hyeok;Oh, Seung Hee
    • The Journal of Information Systems
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    • v.33 no.1
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    • pp.45-68
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    • 2024
  • Purpose This paper examines the role of local market-based communities in driving regional revitalization, using detailed analysis of online networks. We aim to dissect a local community's communication network, highlighting members with high engagement levels and exploring their characteristics. Our goal is to identify the conditions that allow local community networks to grow independently and to demonstrate how the activation of these networks contributes to regional revitalization. Design/methodology/approach We employ a mixed-methods approach, combining social network analysis with statistical techniques to investigate the structure of online communication networks. Specifically, we use ANOVA to determine the statistical significance of our findings, ensuring their reliability. To complement our quantitative data, we include qualitative insights from interviews, adding depth and context to our analysis. Findings Our results show that individuals with high centrality in the online network are crucial for maintaining active local communities. We find that leveraging local resources to create a supportive and adaptable environment is essential for the communities' sustainability and expansion. Importantly, our research draws a direct connection between the vitality of local community networks and the broader process of regional revitalization. We argue that energizing local communities is an effective way to address the risk of regional decline. By integrating quantitative analysis with qualitative feedback, this study contributes to the understanding of local market-based communities as key drivers of regional development. It emphasizes the importance of building vibrant, resourceful community networks to revitalize areas experiencing socio-economic challenges.

Coworking Spaces Being a Creative Community in a Region (지역의 창조적 커뮤니티로서 코워킹 스페이스)

  • Chung, Suhee;Huh, Dongsuk
    • Journal of the Economic Geographical Society of Korea
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    • v.23 no.3
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    • pp.292-311
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    • 2020
  • Coworking spaces have been increasingly considered as a way of building an innovative entrepreneurship ecosystem and facilitating population inflow. This paper aims at identifying the concept and characteristics of coworking spaces and examining these various types in a regional context. Coworking spaces located or planned in small and medium-sized cities and rural areas in Japan and Korea are empirically investigated. Through the case study, this study provides implications for a model of coworking spaces being a creative community in a region. Specifically, it is necessary to have distinctive features only for the regional context-based coworking spaces. Moreover, this new spaces should act as a multi-functional, convergent space and a venue for regional innovation. In a fast-changing work environment such as telework, the region-based coworking spaces can be reconsidered as the place that provides an alternative work, play, learn, and rest platform. Creative people hoping for new work and lifestyle may flow into the region through this intermediator, and thus foster the interplay between the creative community and regional environment.

Entrepreneurial Ecosystems: Key Concepts and Economic Geographical Implications (Entrepreneurial Ecosystems(기업가적 생태계) 개념과 시사점)

  • Koo, Yangmi
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.1
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    • pp.1-22
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    • 2022
  • The purpose of this study is to analyze key concepts of Entrepreneurial Ecosystems and to suggest implications for economic geographical studies. The definition and concept of entrepreneurship as well as changes of its research trends were examined. By combining entrepreneurship and geography, Entrepreneurial Ecosystems, which have recently emerged as important concepts and theories, were examined with the focus on the key concepts such as 'actors and factors', 'productive' and 'territory'. It is important that the individual, organizational and institutional components such as entrepreneurs, start-ups, existing companies, institutions and cultural elements are interconnected to build communities through 'entrepreneurial recycling'. Entrepreneurial Ecosystems support to create innovative high-growth start-ups based on entrepreneurial culture in the local region. Despite conceptual limitations, theoretical and empirical analyses should be conducted from economic geographical perspectives in order to reveal the geographical and spatial processes of productive entrepreneurship and to suggest policy implications for region-based start-up ecosystems.

The Impact of Artificial Intelligence Marketing (AIM) on Firms' Competitive Performance: The Sequential Mediating Role of Absorptive Capacity & Government Support Services (인공지능마케팅(AIM)이 기업의 경쟁우위성과에 미치는 영향; 흡수역량과 정부지원서비스의 순차적매개효과)

  • Ik-Su Kim;Su-Yeon Son;Myeoung-Seop Son;Sung-Su Shin;Young-Sik Bak;Eun-Kyoung Lee;Seok-Dong Song
    • Industry Promotion Research
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    • v.9 no.4
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    • pp.17-28
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    • 2024
  • Recent advancements in AI have significantly transformed corporate marketing strategies, benefiting SMEs as well. While government support services play a key role in promoting firm & startup growth, research on optimizing their effectiveness remains limited. This study examines the sequential mediating roles of absorptive capacity & government support services in enhancing AI marketing outcomes using Hayes' (2018) Process Macro Model 6. Results show that while AI marketing does not directly impact competitive performance or government support services, it positively influences absorptive capacity, which in turn positively affects government support services & competitive performance. The findings highlight the importance of firms enhancing their absorptive capacity & efficiently using government support, while governments should design more effective support programs & policies for firms to fully leverage these resources.