• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.113-131
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• 2015

Decision effectiveness depends on type of knowledge within team members generated by decision making process. Thus, organization in accordance with teams' experience and capability ultimately achieve their desired outcome. However, previous research has not addressed a mediating role between different knowledge type in decision making and product competitive advantages(pioneering advantage and product quality superiority). Based on the knowledge-based view, we model how different knowledge characteristics in decision making affect to acquire each of knowledge in decision making effectively and then to apply acquired knowledge in decision making. Anchored in a source-position-performance (SPP) framework (Day and Wensley's, 1988), we shed light on the effects of three knowledge characteristics dimensions in decision making process on knowledge management competences in decision making for a new product project. We also examine the relationship between two dimensions of NPD knowledge management competences, and product competitive advantages which consist of market pioneering advantage and product quality superiority. To test the relationships, the empirical analyses are conducted using a sample of team managers who participated in NPD projects. This study suggest that managers should increase their acquirability and applicability of knowledge by integrating complexity of diverse and new knowledge, developing codifiability of well-documented knowledge, and creating the sharing common knowledge among NPD team members. Thus, they are able to outrun major competitors in terms of pioneering advantage and product quality superiority perspective.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.05a
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• pp.165-192
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• 2006

본 연구의 목적은 소비자의 하이테크 제품 선택에 있어 브랜드와 제품 성능의 상대적 중요성을 결정하는데 영향을 미치는 요인들을 도출하는데 있다. 영향 요인들은 크게 제품 요인과 소비자 요인으로 분류하였는데, 제품 변수로는 제품의 평가 용이성과 제품의 혁신성을 고려하였고, 소비자 요인으로는 소비자 관여도, 소비자 지식, 소비자 혁신성을 고려하였다. 또한 제품의 쾌락성/이성성 정도와 제품의 노출 정도에 의해 4가지 제품군으로 분류하여, 제품의 유형이 변수들의 영향력에 미치는 조절적 역할을 연구하였다. 연구에 대한 주된 결론은 다음과 같다. 첫째, 하이테크 제품 전반적으로 소비자 혁신성, 소비자 지식, 제품 평가의 용이성, 제품의 혁신성이 제품 선택에 있어서 브랜드의 중요성을 결정하는데 영향을 미치는 변수로 나타났다. 즉, 소비자들은 지식수준이 낮을수록, 소비자 혁신성이 낮을수록, 제품의 평가 용이성이 낮을수록, 제품의 혁신성이 낮을수록 브랜드 위주의 제품을 선택하는 것으로 나타났다. 둘째, 제품의 쾌락성 정도에 따라서 브랜드의 상대적 중요도에 영향을 미치는 변수들이 달라지는데, 쾌락재의 경우에는 소비자 혁신성을 제외한 모든 변수가 브랜드의 상대적 중요도에 영향을 미치나, 실용재의 경우에는 제품 평가의 용이성과 제품 혁신성, 그리고 소비자 혁신성이 영향을 미치는 변수로 나타났다. 셋째, 제품의 노출 정도에 따라서 공공재의 경우에는 소비자 혁신성, 제품 평가 용이성, 제품 혁신성이 유의한 변수로 나타났고, 개인재의 경우에는 소비자 지식과 제품 평가 용이성이 영향을 미치는 변수로 나타났다.가치가 유의한 영향을 미치는 것으로 확인되었다. 그러나 소비자의 금전효용가치는 PB제품의 선호도와는 직접적인 관계가 없는 것으로 나타났으며, PB제품구매의 지각적 가치가 PB제품 선호도에 가장 큰 영향을 미치는 것으로 나타났다. 이와 같은 연구결과는 경제성을 추구하는 소비자라 하더라도 PB제품의 지각적 품질수준 여하에 따라 PB제품의 판매가치가 크다고 지각될 때에만 PB제품을 선호하는 것으로 풀이할 수 있다. 본 연구는 최근에 큰 관심의 대상이 되고 있는 PH의 연구자와 유통업계 실무자들에게 유익한 전략적 시사점을 제공할 수 있을 것으로 기대된다. 지자체가 대형유통점에 대한 규제를 강화하는 것이다. 먼저, 대형유통점의 불공정거래행위에 대한 감시감독과 처벌을 강화하는 것은 당연한 것이다. 그러나 정부가 아닌 지자체가 이를 주도하기는 사실 어려움이 있다. 그리고 대형유통점이 영업행위를 영업시간제한에서부터 출점제한에 이르기까지 규제하는 건은 심사숙고하여야 한다. 대형유통점이 국가경제 및 지역사회에 미치는 영향이 부정적인가 긍정적인가에 대해 국내외 학계와 업계에서 여전히 많은 논란이 있기 때문이다. 정부와 지자체에 의한 시장개입은 반드시 필요한 경우에 한해 합당한 방법에 의해 이루어져야 한다. 대형유통점에 대한 규제는 지역사회에 미치는 영향을 다면적으로 평가한 결과에 근거하여 이루어져야 할 것이다. 대부분의 지자체는 체계적인 평가시스템과 객관적인 통계 자료를 갖고 있지 못한 실정이다. 향후 가장 시급한 과제는 시장개방 이후 지난 10년간 대형유통점이 지역사회에 미친 영향에 관한 광범위한 통계자료를 수

• Korean Security Journal
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• no.36
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• pp.177-200
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• 2013

As we enter a high industrial society that widens the gap between the rich and poor, demand for the security services has grown explosively. With the growth in quantitative expansion of security services, people have also placed increased requirements on more sophisticated and diversified security services. Consequently, market outlook for private security services industry is positive. However, Korea's private security services companies are experiencing difficulties in finding a direction to capture this new market opportunity due to their small sizes and lack of management-strategic thinking skills. Therefore, we intend to offer a direction of development for our private security services industry using a management-strategy theory and the Analytic Hierarchy Process(AHP), a structured decision-making method. A resource-based theory is one of the important management strategy theories. It explains that a company's overall performance is primarily determined by its competitive resources. Using this theory, we could analyze a company's unique resources and core competencies and set a strategic direction for the company accordingly. The usefulness and validity of this theory has been demonstrated as it has often been subject to empirical verification since 1990s. Based on this theory, we outlined a set of basic procedures to establish a management strategy for the private security services companies. We also used the AHP method to identify competitive resources, core competencies, and strategies from private security services companies in contrast with public companies. The AHP method is a technique that can be used in the decision making process by quantifying experts' knowledge and unstructured problems. This is a verified method that has been used in the management decision making in the corporate environment as well as for the various academic studies. In order to perform this method, we gathered data from 11 experts from academic, industrial, and research sectors and drew distinctive resources, competencies, and strategic direction for private security services companies vis-a-vis public organizations. Through this process, we came to the conclusion that private security services companies generally have intangible resources as their distinctive resources compared with public organization. Among those intangible resources, relational resources, customer information, and technologies were analyzed as important. In contrast, tangible resources such as equipment, funds, distribution channels are found to be relatively scarce. We also found the competencies in sales and marketing and new product development as core competencies. We chose a concentration strategy focusing on a particular market segment as a strategic direction considering these resources and competencies of private security services companies. A concentration strategy is the right fit for smaller companies as a strategy to allow them to focus all of their efforts on target customers in a single segment. Thus, private security services companies would face the important tasks such as developing a new market and appropriate products for such market segment and continuing marketing activities to manage their customers. Additionally, continuous recruitment is required to facilitate the effective use of human resources in order to strengthen their marketing competency in a long term.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.67-88
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• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.