• Asian-Australasian Journal of Animal Sciences
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• v.30 no.4
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• pp.569-575
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• 2017

Objective: The objective of this research was to study the electrical properties and quality of frozen-thawed chicken breast meat and to investigate the relationship between these parameters at different times of frozen storage. Methods: Thawed samples of chicken breast muscles were evaluated after being kept in frozen storage at $-18^{\circ}C$ for different periods of time (1, 2, 3, 4, 5, 6, 7, and 8 months). Results: The results showed that water-holding capacity (WHC) and protein solubility decreased while thiobarbituric acid-reactive substances content increased with increasing storage time. The impedance module of samples decreased during 8-month frozen storage. Pearson correlation coefficients showed that the impedance change ratio (Q value) was significantly (p<0.05) related to pH, color, WHC, lipid oxidation and protein solubility, indicating a good relationship between the electrical properties and qualities of frozen-thawed chicken breast meat. Conclusion: Impedance measurement has a potential to assess the quality of frozen chicken meat combining with quality indices.

• STI Policy Review
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• v.8 no.2
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• pp.75-93
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• 2017

Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.

• Journal of Korea Trade
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• v.27 no.3
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• pp.87-102
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• 2023

Purpose - Although the importance and necessity of "sustainable supply chain management (SCM)" is emphasized, it is often not realized due to conflicting results, the long time required, and large-scale changes brought about by sustainability. This study used the innovation resistance model to confirm the influence of sustainable SCM innovation resistance factors and dynamic capabilities on adoption intentions. This approach made it possible to understand the factors that hinder adoption of sustainability practices and to identify the relationships among influencing factors. It should also help to establish effective policies or strategies. Design/methodology - Through a literature review, the characteristics of sustainable SCM were classified into relative advantage, compatibility, perceived risk, and complexity. The effects of these innovation characteristics on innovation resistance in sustainable SCM and the effects of innovation resistance on adoption intentions were confirmed. In addition, the effects of SCM capabilities on innovation resistance and adoption intentions were analyzed, and the mediating effect of innovation resistance was analyzed. Findings - Compatibility, perceived risk, and flexibility had significant effects on innovation resistance. In turn, innovation resistance had a significant effect on adoption intention, and flexibility had a significant effect on intention to adopt. A partial mediating effect of resistance to innovation was confirmed. Originality/value - Although many previous studies have acknowledged trade-offs with sustainability, most sustainable SCM studies dealt with the correlations among positive drivers of adoption, practices, and performance. This study confirmed the process of accepting sustainable SCM innovation in a single model and is expected to serve as a cornerstone for future sustainable SCM adoption studies. In addition, our findings should help establish effective policies or strategies to activate SSCM adoption by identifying the factors that hinder the adoption of sustainable SCM.

• International Journal of Contents
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• v.14 no.1
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• pp.7-11
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• 2018

Digital technology has been changing everyday life of ordinary people let alone the structure of world industry. The elderly care service is also going through changes influenced by the unavoidable impact from torrents of digital technologies. There are numerous reports and news about the digital technologies increasing the efficiency and effectiveness of care service yet lacking systematic understanding of the sources of such improvement. This study aims to present a new classification framework for digital elderly care service innovation to fully utilize the power of digital technologies drawing on insights from innovation studies and service studies. First, 4 features of digital technologies are identified as sources of new value in service innovation. The co-creation of value by users and producers in service and technology development is discussed to illuminate users' contributions to service innovation. Communication of needs and ideas with producers and application of new technologies into everyday practice of life are identified as the source of new value which can be attributed to the elderly. Customization along with efficiency gains is the key to digital elderly care service innovation. The classification framework, thus, incorporates the needs of the elderly as one axis of criteria in the conventional technology-centered framework. The new classification framework would help give due weight to user-driven or demand-driven innovation in the elderly care service R&D activities.

• World Technopolis Review
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• v.5 no.1
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• Asian Journal of Innovation and Policy
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• v.8 no.3
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• pp.325-342
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• 2019

Gendered innovation in Science, Technology and Innovation, which seeks better science for both men and women by integrating sex and gender analysis, has become an important issue in the entire process of STI, as initiated by the European Commission, Canadian Institutes of Health Research in Canada and the National Institutes of Health in the United States. Korea has also attempted to reflect gendered innovations in Science and Technology as a critical factor in the 3rd and 4th National Plan, followed by the Act on Women Scientists and Engineers (2002). Against this background, the aim of this study is to prioritize the policy instruments regarding gendered innovation in Research and Development. Through the Focus Group Interview (FGI) and the Analytic Hierarchy Process (AHP), this study attempts to set the priority among selected criteria, various types of policy instruments, and the applied research development area. As a result, this study shows the preparation of the relevant legal and institutional mechanisms for the full introduction of gendered innovation in S&T, and the importance of various policy instruments for S&T innovation in the fields of planning, budgeting, managing national R&D projects, evaluating and impact assessment, etc., being derived in a systematic way to ensure their effectiveness.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.5 no.2
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• pp.1-31
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• 2010

Biotechnology has strategic importance related to the development of start-up companies, industries and nations in the near future. Therefore, many countries have promoted and developed biotechnology. The United States has led the world in promoting biotechnology. American biotechnology policies are diverse, and thus no comprehensive systematic studies have been done on it. In our paper, we will discuss American biotechnology policy in detail. For effective analysis, we will rely on the concept of a national innovation system, which emphasizes the institutional settings of innovation actors and their interaction. This paper deals with the American national innovation system for biotechnology. We will analyze the role of major actors, academia, public research institutes, and venture companies and their interactions. The American biotechnological innovation system is composed of diverse actors and numerous start-up companies in the biotechnology industry. In addition, there are many diverse policy programs for promoting biotechnology. Because of country-specific frame conditions, every country has different institutional settings and policies for promoting biotechnology. Our paper will render meaningful implications for various countries. We also think that this paper will be of interest for international readers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.123-129
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• 2010

R&D innovation is based on the premises of gaining competitive advantage. Innovation is achieved not only through the development of technology for producing newer and better products, but also gaining and sharing information about consumer demands, changes in the market, and competitors actions. Investment in R&D can not adequately be fulfilled solely through market functions because of R&D activities imply high-risk, uncertainty, and because R&D has a public-good characteristic. Most past researches have concentrated on managerial methodologies through research of performance, thus the results are related to studies of innovation performance. This research looks into the effect given on R&D innovation by IT factors and provides a model, and further analysis on how IT factors are applied through this model. By developing a model through the process of re-structuring the model with variables based on the convergent and discriminant validity, and in turn confirming and concentrating on major IT factors through analysis, it will be possible to double the R&D Innovation Performance.

• Asian Journal of Innovation and Policy
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• v.9 no.2
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• pp.133-144
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• 2020

Korean economy has experienced a very rapid growth largely due to the change of the innovation system since the last half century. The recent outbreak of COVID-19 impacts the global economy as well as Korea's innovation system. In order to understand the influence of the shock to the Korean technological system, we have forecast the future of the system combining qualitative and quantitative techniques such as expert panel, cross impact analysis, and scenario planning. According to the results, we have identified 39 driving forces influencing the change of Korea's technological innovation system. Four scenarios have been suggested based on the predetermined factors and core uncertainties. In other words, uncertainties of emergence of the regions and global value chains generate four scenarios: regional growth, unstable hope, returning to the past, and regional conflicts. The 'regional growth' scenario is regarded as the most preferable, whereas the 'regional conflicts' scenario is unavoidable. In conclusion, we put forward some policy implications to boost the regional innovation system by exploiting the weakened global value chains in order to move on to the most preferable scenario away from the return to the past regime.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.4
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• pp.23-27
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• 2014

The authors emphasize that the Republic of Kazakhstan is characterized by significant differences in the level of innovation capacity of regions. This article summarizes that the result of the monitoring of innovation potential of the regions are prerequisites for innovation policy adjustments, make it more dynamic, which ultimately contributes to its effectiveness. So, there are substantial differences in the level of innovation potential of the regions in the Republic of Kazakhstan, meanwhile it is noted that most regions' innovative features and potential can be assessed as average. After analysis of previously used methods, it can be concluded that the ranking of the level of innovation potential of regions takes place in the following order: High level of innovative potential: East Kazakhstan (3 matches), Almaty city (2 matches), Pavlodar (2 matches) and Zhambyl regions (2 matches); Low level of innovative potential: Almaty (2 matches), Mangistau (2 matches), West Kazakhstan (2 matches), Kyzylorda oblast (2 matches). In conclusion, it is emphasized that monitoring of innovative potential of regions creates the preconditions for innovation policy adjustments. These adjustments make the policy more dynamic and contribute to its effectiveness in the long run.