세계보건기구(WHO)는 홍콩독감과 신종플루 이후 역사상 세 번째 팬데믹을 선언했다. 코로나19의 발생으로 국가 간 교류는 극도로 위축되는 한편 빠른 전염성으로 국가별 경기변동의 시간차를 만들어 냈다. 2020년 1월 미‧중 무역 분쟁은 합의국면으로 접어들었으나 코로나19로 발생한 경제 디커플링 현상은 중국이 미국과의 무역균형을 맞추기 어렵게 만들었고 미‧중 무역 분쟁 합의 조건을 지키기 어렵게 만들었다. 트럼프 대통령은 코로나19 확산의 책임을 중국에 돌렸고 경기 침체의 원인도 중국의 영업비밀 침해, 불법복제품 등으로 지목하면서 보호주의가 대두되었다. 이에 중국은 거세게 반발하면서 미국과 갈등이 깊어졌다. 미국은 중국 반도체 굴기의 핵심기업인 화웨이와 SMIC에 무역재제를 선언했고 미‧중 간 반도체 밸류체인 단절 위험을 예고하고 있다. 반도체 산업의 밸류체인 분리는 특정 국가와 기업이 가치사슬에 고도로 전문화되어 독점하는 구조인 반도체 산업에 큰 충격을 줄 가능성이 있다. 본 논문은 코로나19로 인해 재점화된 미‧중 간 반도체 밸류체인 단절 위험과 반도체 글로벌 산업 가치사슬의 충격과 변화, 한국 반도체 기업의 대응전략을 다루고자 한다.

The Theory of Value Drivers, or Value Driver Theory (Wendee, 2011), is useful in understanding the value creation process in any enterprise. Innovation and strategy are important components in the value creation process. This research, which is based on Value Driver Theory, explored the role that innovation and strategy have in the value creation process and how they are employed in creating enterprise value. Value Driver Theory was discovered using two different, but compatible, research methodologies. The qualitative study used to discover Value Driver Theory explored the effect of business value drivers on the valuation of businesses in the United States and proposed a theory of value drivers. The Value Driver Theory study used two research methods – grounded theory and the Delphi method - to explore the effect of business value drivers on the valuation of businesses in the U.S. and to propose a theory of value drivers. In addition to a list of 72 individual value drivers, which includes innovation and strategy, the theory of value drivers presents a comprehensive value driver possibilities frontier and value driver chain, both of which are part of and are used to explain the theory of value drivers. The theory of value drivers is comprised of 28 propositions that work in concert with the possibilities frontier, the value driver chain, and other elements that are described in the paper. The Value Driver Theory paper differs from other studies as follows: First, the paper significantly extends the notions, ideas, and concepts from previous studies on value drivers. Second, the paper creates a comprehensive classification scheme for value drivers and has identified many more characteristics and properties of value drivers than previous studies. Third, the study identified 72 specific value drivers through the literature review and the Delphi study. Fourth, the paper consolidates the material from the literature review and the result of the research conducted through the Delphi and grounded theory studies and codifies it into the theory of value drivers. Subsequent to the publication of the paper on Value Driver Theory, new conceptual frameworks and tools have been developed to enhance the usefulness of Value Driver Theory in evaluating the enterprise value creation process. These conceptual frameworks and research tools were explored in the current study in general terms; and particularly as to how they relate to and enhance the use of innovation and strategy in the value creation process.

Korea’s five leading industries-chemical, automobile, shipbuilding, metal and electronics-have been the growth engines of the Korean economy for the last 30 years. However, with their performance weakening in the past few years, Korea’s annual growth rate has dropped to less than 2%. Just as the Japanese economy struggled through the lost decades, Korea’s leading industries have been facing signals of arriving at a Strategic Inflection Point (“SIP”) since the mid-2000s. The objective of this study is to present an appropriate value strategy for Korean firms in leading industries to gain sustainable competitive advantages. This paper examines the following issues : First, it diagnoses the signs and timing of SIP for the five leading industries. Second, this study examines 78 Korean and Japanese firms in order to understand the adaptation strategies of the highest and lowest performing firms from a value strategy point of view. Third, it empirically analyzes the correlation between the indicators of value strategy and the accounting performances of the Korean and Japanese firms. The data set used in the cluster analysis were collected from KISLINE database of NICE Information Service and annual reports. The findings in the case analyses of high and low performing companies show that high value-added specialty chemical materials and electronic component manufacturers that had a strong focus on value creation were defined as high performing companies. And in the cosmetic and automobile industries, companies with a strong emphasis on value appropriation gained high performance. Furthermore, the study conducted a cluster analysis based on two indicators R&D and advertisement expense. The analysis shows that a significant gap exists in the operating incomes among three groups classified under the value strategy. The study recommends that Korean firms are requested to increase R&D expenditure, conduct M&A and collaborate with companies that own source technologies to narrow the technology gap and improve their segment portfolio from commodity to value-added products.

Corn is basal forage for livestock species in Republic of Korea but it lacks protein and needs nitrogenous fertilizer. This study was designed with main objective to achieve optimum growth, yield & nutritive value of forage for livestock through implementing corn-soybean intercropping strategy at 17 different places under Korean condition. Two treatments; corn as monocrop (control treatment) and corn-soybean intercrop were compared under Randomized Block Design from 28th May to 8th October, 2015. Each treatment had three replicates in each block, whereas seventeen different places were considered as blocks. Data were analyzed through SAS-9.1.3 software. Difference between two treatment means was tested through T-test. Findings depicted that intercropping pattern could not influence (P>0.05) corn plant & ear height, corn lodged stalk No. and corn stalks number. However, corn-soybean intercropping enhanced (P<0.05) forage productivity in terms of total fresh yield (16.4±0.7b vs. 19.9±0.7a tons ha-1), total dry matter yield (5.38±0.25b vs. 6.41±0.31a tons ha-1) and total digestible nutrients yield (3.94±0.17b vs. 4.59±0.21a tons ha-1). Dry matter percentage in corn stalks and corn ears was not different (P>0.05) between two treatments. It was concluded that corn-soybean intercropping strategy was promising technique in enhancing forage productivity though positive symbiotic relation between two crops.

In attempt to avoid crop damage through wild bird’s picking, this study was designed with aim to evaluate several pre-sowing soybean seed coatings for optimum yield in corn-soybean mixed forage. It was investigated under four cropping treatments, viz. 1) corn sole, 2) corn mixed with soybean without any coating, 3) corn with iron coated soybean and 4) corn with thiram coated soybean. Each treatment had three replicates and corn sole was control treatment. Pioneer (P1184) and crossbred (PI483463 × Hutcheson) seeds were used for corn and soybean, respectively. The trial was conducted under randomized block design from 5th June to 23rd September, 2015. Data were an alyzed through ANOVA technique using SAS9.1.3 software. Results depicted that survivability of soybean against wild birds damage was found better (p<0.05) in thiram coating which was higher than iron coating and control treatment but later on thiram coating had adverse effects on subsequent growth of soybean plants. Corn stalk height was decreased (p<0.05) in thiram coating, whereas corn ear height was reduced in iron coating treatment. Iron coating enhanced (p<0.05) height of soybean plant (p<0.05) better than that of thiram coating. Soybean seed coatings didn’t influence dry matter yield and nutritive value in terms of total digestible nutrients yield in corn soybean mixed forage. Conclusively, although presowing thiram coating enhanced survivability of soybean plants against wild bird damage but had adverse effects on its subsequent growth. However, soybean seed coatings didn’t influence yield and nutritive value of corn soybean intercropping forage

Customers are regarded as the key intangible assets of a company. It is necessary to have the capability to anticipate customer value. The study discusses the relationship among customer value anticipation, product innovativeness, and customer lifetime value from customer perspective. 178 MBA students were surveyed by questionnaire in this study. The results show that customer perceived customer value anticipation can significantly influence product innovativeness. Product innovativeness not only positively affects customer lifetime value, but also plays a partial mediating role between customer value anticipation and customer lifetime value. Both functional and emotional advertising can play a moderating role on the relationship between product innovativeness and customer lifetime value. At the end, managerial implications are discussed.

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

The paper reviews properties of hypothesis decision approaches using rejection region and significance probability. The study also presents the guidelines for quality practioners to implement most useful hypothesis testing techniques such as RR(Rejection Region) approach and P-Value approach.

본 연구는 서울지역 주부를 대상으로 쌀 생산과 소비측면에서 새로이 주목받고 있는 기능성 쌀 중 다이어트 쌀에 대한 소비자 지불가치와 구매유형별 소비자 선호분석 및 이에 따른 마케팅 전략을 수립하는데 연구의 목적이 있었다. 분석 결과 다이어트 쌀에 대한 소비자의 평균지불가격은 최소 1.17배에서 최대 1.52배까지 일반 쌀 보다 높게 지불하는 것으로 분석되었다. 또한 다이어트 쌀의 선호분석 결과소득이 높을수록 다이어트 쌀에 대한 구입의향이 높은 것