• Korean Journal of Heritage: History & Science
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• v.55 no.4
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• pp.296-312
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• 2022

This paper examines the concept and process of heritagization, as well as other measures for the value enhancement of food culture as heritage, through the case of the gastronomic meal of the French, which has a long history as a socially constructed heritage. Heritage refers to what a society perceives as worthy of being transmitted. Thus, a heritage is something that a society or group chooses to preserve and that represents its identity. In the 19th century, France began to designate and protect heritage through a policy of preserving historical monuments, and heritage became both a social construct and creation with the purpose of preserving and enhancing values. Interest in heritage spread around the world with globalization, and has grown even greater since the 1972 UNESCO Convention. This interest has progressively extended to nature, urban landscapes and intangible cultural heritage. In 2003, the UNESCO Convention for the Protection of the Intangible Cultural Heritage was adopted, and this has strengthened the interest in intangible cultural heritage worldwide. Food-related heritage has been excluded from the list due to difficulties in establishing inscription criteria and concerns about the potential commercialization of heritage. However, in 2010, the food cultures of the Mediterranean, Mexico, and France were inscribed on UNESCO's Representative List of the Intangible Cultural Heritage of Humanity, which prompted interest in food culture and efforts to inscribe the food heritage of a number of other countries, including Korea. France has a long history of interest in gastronomy as a cultural heritage and part of its national identity. Efforts to preserve and popularize gastronomy as a part of the national identity and heritage have been made at both the private level, by gourmets and associations, and at the governmental level. Through these efforts, the culture of gastronomy as a heritage has been firmly established through theoretical discussion, listing of food-related heritages, and policies. Sustainable development of the heritage is pursued through certain ongoing institutional approaches, including the City of Gastronomy network, the National Food Program, and the promotion and labeling of the Year of the French Gourmet.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.119-134
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• 2018

Today, many firms face the environment of high uncertainty and severe competition due to the rapid technology development and the diverse needs of customers. In the business environment, one of the most important ways to gain sustainable competitive advantage and future growth engine is related to NPD (New Product Development), which is a very important issue for practice and academia. Thus, this study intends to provide new values to practitioners and researchers related to NPD by analyzing current research trends and future trends in NPD field. For this, we bibliometrically analyzed keyword networks which consist of keywords that were already published in the eminent journals from Scopus database to generate insights that have not been captured in the previous reviews on the topic. As a result, we could understand the extant research streams in NPD field, and suggest the changes of specific research topics based on the connected relationships among keywords over the time. In addition, we also foresaw the general future research trends in NPD field based on the keywords according to preferential attachment processes. Through this study, it was confirmed that NPD keyword network is a small world network that follows the distribution of power law and the growth of network is formed by link formation by keyword preferential attachment. In addition, through component analysis and centrality analysis, keywords such as Innovation, New product innovation, Risk management, Concurrent engineering, Research and development, and Product life cycle management are highly centralized in NPD keyword network. On the other hand, as a result of examining the change of preferential attachment of keywords over the time, we suggested the required new research direction including i) NPD collaboration with suppliers, ii) NPD considering market uncertainty, iii) NPD considering convergence with the other academic areas like technology management and knowledge management, iv) NPD from SME(Small and medium enterprises) perspective. The results of this study can be used to determine the research trends of NPD and the new research themes for interdisciplinary studies with other disciplines.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.37-52
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• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.