• Journal of the Korea Convergence Society
• /
• v.7 no.5
• /
• pp.161-167
• /
• 2016

Distribution channels are changing its industry paradigm from quantitative increase to qualitative improvement. In addition, it incorporates new characteristics and consumption tread of customers and the core value of service is developing focused around on online to offline (O2O) business model of omnichannel. In this respect, companies are integrating various distribution channels and in order to provide high content business service to customers, their interest in finding a new business strategy is increasing. Currently, most of the service being provided to customers are formed based on distribution structure centered around big companies and financial industry and the problems faced by small to medium and micro enterprises, which are expansion and improvement of channels, discovery of new distribution channels and finding O2O marketing strategy, can be said as very important task. Accordingly, this research purports to create added values which can serve as the driving force of growth of "creative economy" by improving distribution channels in which anyone who incorporates needs of smart consumers can enter into the smart commerce market and to further form sustainable win-win market that is strategic through business platforms for small to medium and micro enterprises therefrom.

• Journal of Convergence Society for SMB
• /
• v.5 no.4
• /
• pp.11-16
• /
• 2015

In recent years, small businesses are increasing attempt to create better value through a combination of benefits with small and flexible organization of big data. However, until now small businesses are lacking to secure sustainable competitiveness to match the ICT paradigm alteration to focus on improving productivity. This paper propose an efficient small businesses process model which can effectively take advantage of a low cost, identify customer needs, taget marketing, customer management for new product. Proposed model can retain the necessary competitiveness in generating new business for collaboration between companies inside and companies using a massive big data. Also, proposed model can be utilized the overall business activities such as the target customer selection, pricing strategies, public relations and promotional activities and enhanced new product development capabilities using big data.

• Journal of Digital Convergence
• /
• v.17 no.7
• /
• pp.35-41
• /
• 2019

This study aims to analyze the cosmedical cosmetics market and the nature of customer through the social big data analysis. More than 80,000 posts were analyzed using R program. After data cleansing, keyword frequency analysis and association analysis were performed to understand customer needs and competitor positioning, formulated several implications for marketing strategy sophistication and implementation. Analysis results show that "prevention" is a new and essential attribute for appealing target customers. The expansion of the product line for the gift market is also suggested. It has been shown that there is a high correlation with products that can be complementary to each other. In addition to the traditional marketing technique, the social big data analysis based on evidence was useful in deriving the characteristics of the customers and the market that had not been identified before. Word2vec algorithm will be beneficial to find additional.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.2
• /
• pp.157-165
• /
• 2016

To provide the baseline for pricing, this paper proposes pricing-by-rating (PBR) as pricing model at micro-foundations level that can work as the baseline for all pricing models as well as an assessment criterion of business model in all circumstances. It sets up firstly WTP (willingness to pay/purchase) model from explicit needs and develops PBR based on the ordinal scale of the difference between the WTP and the WTS (willingness to supply/sell) by comparing individually the corresponding element/component of a firm's actual marketing mix 4P with that of the best SPEC (solution, price indicator by WTP, encouragement, channel) as an ideal 4P a customer expects and also by comparing the interaction between the 4P and the best SPEC as a whole collectively. And through illustrations it shows its applicability to evaluating business model in practice and finally asserts that PBR works as the baseline for pricing policy and as a criterion of business model evaluation in any circumstances.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.11a
• /
• pp.263-287
• /
• 2017

본 연구는 연구개발의 기술적 성과에 비하여 상대적으로 저조한 경제적 성과를 제고하기 위해 중소기업의 기술사업화를 촉진하는 한국형 기술사업화 모델 및 이를 위한 과학적 연구방법론 제시를 목적으로 하고 있다. 먼저 기술사업화의 성공실패에 관련된 연구 중 하나인 신제품개발에서 경제적 성과에 긍정적인 영향을 미치는 요인들을 선행연구를 통해 확인하고 우리나라 중소기업의 기술사업화 추진실태와 과제를 진단한다. 다음으로 세계 R&D 동향과 국내 대기업에서 추진하고 있는 6시그마 연구혁신 모델 및 기술사업화의 경제적 성과를 제고하기 위한 과학적 연구방법론 벤치마킹 분석 등의 결과를 토대로 우리나라 중소기업들이 수행하는 연구개발의 기술적 성과는 물론 경제적 성과도 제고할 수 있는 시장중심 R&D를 위한 한국형 기술사업화 모델과 이를 위한 5가지 과학적 연구 방법론을 제시한다. 1990년대 후반부터 등장하기 시작한 새로운 R&D동향은 사업부나 고객뿐만 아니라 공급자 등 외부 파트너들과의 상호 긴밀한 협력 하에 이들의 명시적인 니즈는 물론 암묵지 형태의 니즈까지도 파악하여 이를 R&D 활동에 반영하기 시작하였다. 특히 기업은 1980년대 정보화 진전, 변화의 가속화에 따라 연구과제의 성공이 바로 기업발전으로 연결되지 않는다는 것을 자각하기 시작했다. 단순히 R&D 활동만을 중시하는 것이 아니라 기술을 어떻게 마케팅과 연계시킬 것인가가 더욱 중요하게 되었다. 신기술을 신시장에 연결시키는 것이 용이하지 않지만, 성공 시에는 높은 가치창출을 기대할 수 있으므로 기업들은 R&D활동 보다 높은 가치를 창출하려는 활동에 관심을 가져야만 한다. 이와 같은 글로벌 환경 변화에 능동적으로 대처하고 제4차 산업혁명시대 중소기업의 연구개발 투자가 경제적 성과로 촉진될 수 있도록 본 연구에서 제시된 시장중심 R&D를 위한 한국형 기술사업화 모델과 5가지 과학적 연구방법론이 크게 기여하기를 기대해 본다.

• 한국벤처창업학회:학술대회논문집
• /
• 2023.04a
• /
• pp.7-10
• /
• 2023

IT기술의 발전과 스마트기기의 대중화로 인한 정보통신기술의 눈부신 발전으로 온라인 플랫폼을 통한 식품구매 비중이 급격히 증가하여 온·오프라인의 경계를 없어지고 있다. 더군다나 COVID-19 팬데믹은 반조리식품, 밀키트 등 홈쿡(Home-cook) 온라인시장을 급격히 확산시키며 소비자 구매추세를 오프라인에서 온라인으로 완전히 바꿔놓는 전환점이 되었다. 이런 트랜드를 반영하듯 다양한 온라인 식자재 이커머스 플랫폼의 출현하면서 브랜드마다 각각의 차별점을 내세우고 있으나 경쟁은 치열해지고 차별화는 더욱 어려운 게 현실이다. 이는 기업이 소비자에게 일방향으로 정보 또는 상품 및 서비스를 제공 하는 수직적 관계가 아닌, 수평적 쌍방향 관계로의 발전으로 이어져 브랜드가 가지고 있는 가치에 대해 보다 정직하게 보여주어야 소비자의 신뢰를 얻을 수 있게 되었다(Kotler, 2017). 또한, 과거에 소비자들의 만족도가 높았던 서비스도 현재 환경에서는 소비자의 니즈를 충족시키지 못하는 경우가 증가하고 있다(조윤오, 2018). 이는 서비스에 대한 소비자의 기대와 니즈가 지속적으로 변화하고 있다는 것을 의미하며, 이에 따라 기업은 소비자들의 새로운 요구를 만족시키기 위하여 다양한 서비스를 개발 및 제공하는 것이 중요하다고 사료된다(김광재 등, 2011). 이미 높은 인지도를 가진 플랫폼일지라도 지속가능한 우위를 선점하기 어려운 상황에서 온라인 플랫폼에 대한 소비자의 긍정적인 태도와 재구매를 유도하기 위해 제품 본질 뿐 아니라 서비스 차별화를 꾀하고 있고 차별화된 포지션을 차지하기 위해 온라인 플랫폼에 대한 소비자 인식과 서비스 품질 요인을 측정하여 고객이 중시하는 요인에 집중하는 것이 필요하다. 이에 본 연구는 온라인 플랫폼을 통해 식자재를 구매하는 소비자의 꾸준한 방문과 구매를 유인하기 위해 어떤 변수의 영향력을 높여야 소비자 재구매의도를 증가시킬 수 있는지 방법을 모색하고 온라인 플랫폼 기업 및 스타트업의 경영전략 마련에 목적이 있다. 이를 위해 식자재 구매 플랫폼 품질속성, 서비스품질 정도,, 충성도의 전반적인 영향관계를 파악하는 연구 과제를 설정하고, 식자재 이커머스 온라인 플랫폼 이용 전반에 대한 평가를 실시할 예정이다. 이러한 과정을 통해 도출된 결과는 식자재 이커머스 플랫폼 운영 전략을 세우는데 유용한 자료가 될 것이라 기대하며, 기존의 온라인 식품구매 플랫폼의 서비스품질 요인과 소비자 행동 간의 관계를 설명하는 것과는 다른 새로운 시사점을 제공할 수 있다는 측면에서 의미 있는 연구가 될 것이다. 또한, 다양한 산업에서의 플랫폼 비지니스 모델 적용을 위한 전략 수립을 하는 데에 필요한 기초자료를 마련하고자 한다.

• The Journal of the Korea Contents Association
• /
• v.12 no.4
• /
• pp.225-234
• /
• 2012

The purpose of this study is to explore possible ways to make a strategical use of CRM(Customer Relationship Management) for facilitating performing arts. In order to satisfy the purpose, this study investigated actual cases of CRM, primarily focusing on LG Art Center, one of representative performance venues in South Korea, and CREDIA, a performing art planning agency in South Korea. Here, it was found that LG Art Center operated its independent TMS(Theater Management System) and thereby could afford to successfully plan performing art programs on the basis of customer-oriented convenient ticketing system as well as a pile of customer information. On the other hand, CREDIA introduced advanced performance management system and has successfully attracted larger membership than before. Moreover, it organized specialized personnel in membership management and thereby could manage membership in systematic manner. And it was found that based on web log analysis, CREDIA developed a variety of products to comply with customer needs and thereby could realize higher returns and better customer satisfaction through cross-selling activities as well as performance ticketing. However, it was found that CREDIA still operated its membership system and mileage point system in stereotypes manner. Thus, it is required to operate differentiated membership system based on membership grades and diversify practical ways to save and use mileage points, so that CRM can be strategically applied to develop new audience and maintain loyal customers.

• Cartoon and Animation Studies
• /
• s.11
• /
• pp.55-72
• /
• 2007

Entering the Chinese animation market is a requirement for the survival and growth of Korean animation industry. While the size of Korean domestic animation market is not big enough to explain the investment for the production of animation project, the rapidly growing Chinese market provides a great potential for Korean animation. However, in recent few years, a high entrance barrier has been raised by Chinese government who aggressively enforce the strong policy to protect and develop the Chinese animation industry, by blocking the foreign animations out of Chinese domestic TV broadcasting. As a result, Chinese animation industry has witnessed a rapid growth enough to satisfy the domestic TV programming needs, and there seems no room for Korean animation to be exposed to Chinese animation consumers, whether through export of the program or co-production with Chinese companies. Through the study on Chinese government's policies and recent development of Chinese animation industry, this article is suggesting a new strategy for Korean animation industry to effectively exploit the Chinese market. In order to overcome the entrance barrier, Korean animation industry should satisfy the needs of Chinese government and industry for mutual benefit of both countries, and it can be accomplished by positioning Korean animation industry as a partner for Chinese industry, helping China in its way to the No.1 position in the global animation market. By providing the creative development capability, business knowhow and global marketing network for the co-production project, Korean animation industry can make a win-win situation for both countries, and at this point of stage, it would be the most effective way to make a meaningful presence of Korean animation industry in Chinese market.

• Journal of Korea Society of Industrial Information Systems
• /
• v.23 no.5
• /
• pp.61-76
• /
• 2018

Everything is coming into the world of network where modern people are living. The Internet of Things that attach sensors to objects allows real-time data transfer to and from the network. Mobile devices, essential for modern humans, play an important role in keeping all traces of everyday life in real time. Through the social network services, information acquisition activities and communication activities are left in a huge network in real time. From the business point of view, customer needs analysis begins with SNS data. In this research, we want to build an automatic collection system of SNS contents of web environment in real time using Python. We want to help customers' needs analysis through the typical data collection system of Instagram, Twitter, and YouTube, which has a large number of users worldwide. It is stored in database through the exploitation process and NLP process by using the virtual web browser in the Python web server environment. According to the results of this study, we want to conduct service through the site, the desired data is automatically collected by the search function and the netizen's response can be confirmed in real time. Through time series data analysis. Also, since the search was performed within 5 seconds of the execution result, the advantage of the proposed algorithm is confirmed.

• Journal of Intelligence and Information Systems
• /
• v.29 no.1
• /
• pp.327-351
• /
• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.