• 제목/요약/키워드: Product Introduction Strategy

검색결과 66건 처리시간 0.036초

Increased Tolerance to Furfural by Introduction of Polyhydroxybutyrate Synthetic Genes to Escherichia coli

  • Jung, Hye-Rim;Lee, Ju-Hee;Moon, Yu-Mi;Choi, Tae-Rim;Yang, Soo-Yeon;Song, Hun-Suk;Park, Jun Young;Park, Ye Lim;Bhatia, Shashi Kant;Gurav, Ranjit;Ko, Byoung Joon;Yang, Yung-Hun
    • Journal of Microbiology and Biotechnology
    • /
    • 제29권5호
    • /
    • pp.776-784
    • /
    • 2019
  • Polyhydroxybutyrate (PHB), the most well-known polyhydroxyalkanoate, is a bio-based, biodegradable polymer that has the potential to replace petroleum-based plastics. Lignocellulose hydrolysate, a non-edible resource, is a promising substrate for the sustainable, fermentative production of PHB. However, its application is limited by the generation of inhibitors during the pretreatment processes. In this study, we investigated the feasibility of PHB production in E. coli in the presence of inhibitors found in lignocellulose hydrolysates. Our results show that the introduction of PHB synthetic genes (bktB, phaB, and phaC from Ralstonia eutropha H16) improved cell growth in the presence of the inhibitors such as furfural, 4-hydroxybenzaldehyde, and vanillin, suggesting that PHB synthetic genes confer resistance to these inhibitors. In addition, increased PHB production was observed in the presence of furfural as opposed to the absence of furfural, suggesting that this compound could be used to stimulate PHB production. Our findings indicate that PHB production using lignocellulose hydrolysates in recombinant E. coli could be an innovative strategy for cost-effective PHB production, and PHB could be a good target product from lignocellulose hydrolysates, especially glucose.

Seismic evaluation of existing RC frames with wide beams using an energy-based approach

  • Benavent-Climent, A.;Zahran, R.
    • Earthquakes and Structures
    • /
    • 제1권1호
    • /
    • pp.93-108
    • /
    • 2010
  • This paper investigates the seismic performance of existing reinforced concrete frames with wide beams mainly designed for gravity loads, as typically found in the seismic-prone Mediterranean area before the introduction of modern codes. The seismic capacity is evaluated in terms of the overall amount of input energy that the frame can dissipate/absorb up to collapse. This approach provides a quantitative evaluation that can be useful for selecting and designing an appropriate retrofit strategy. Six prototype frames representative of past construction practices in the southern part of Spain are designed, and the corresponding non-linear numerical models are developed and calibrated with purposely conducted tests on wide beam-column subassemblages. The models are subjected to sixteen earthquake records until collapse by applying the incremental dynamic analysis method. It is found that the ultimate energy dissipation capacity at the story level is markedly low (about 1.36 times the product of the lateral yield strength and yield displacement of the story), giving values for the maximum amount of energy that the frame can dissipate which are from one fourth to half of that required in moderate-seismicity regions.

미국 고급 패션백화점의 페이스북 페이지 커뮤니케이션 전략 (The Facebook page communication strategy of high-end fashion department stores in the United States)

  • 김성희
    • 패션비즈니스
    • /
    • 제17권4호
    • /
    • pp.177-190
    • /
    • 2013
  • The purpose of this study is 1) to investigate the types of upscale fashion department stores' Facebook page contents, 2) to compare the types of Facebook page contents with the department stores, and 3) to explore the dimensions of the Facebook page components and their relations. For the study, three preeminent department stores in social media marketing were chosen: Bergdorf Goodman, Barneys New York, and Saks Fifth Avenue. Three hundred sixty five contents of these department stores' pages were investigated, which were uploaded from February 1st to March 31st of 2013. Content analysis, correspondence analysis, and categorical principal component analysis were used for the research. The result showed that there are four important types of contents in pages: product-related contents, fashion-related contents, department stores-related contents, and the contents of communicating with users. And these components of contents were related with department stores distinctively. The two dimensions of the page components were revealed: the basic components (contents, 'like', 'share', and 'comments') and the additional components (links and photos). Among contents, the introduction of products was appealed but news and events were not liked by users; the contents without a photo were not linked to additional information either.

주요 국가의 화장품규정과 비교한 우리나라의 화장품법령 개정방안 (Cosmetic Regulation in Main Countries and Its Development Strategy in Korea)

  • 김영찬;황순욱;김대중
    • 대한화장품학회지
    • /
    • 제31권1호
    • /
    • pp.1-11
    • /
    • 2005
  • 유럽연합, 미국, 일본을 중심으로 한 주요 국가의 화장품 관리규정의 변화를 주요 이슈별로 비교 검토하여 이를 토대로 우리나라의 화장품 법령의 개정방향을 제시하였다. 이들 비교 대상국가에서는 화장품 산업의 발전과 소비자의 안전확보를 위하여 사후관리체계를 강화하고 있다. 우리나라의 경우 화장품 인정범위의 확대, 표시${\cdot}$광고의 개선, 전성분표시제, 사용기한 표시등의 단계적 도입이 필요하며, 업체 자율책임과 사후관리체계로의 전환을 위하여 화장품 GMP의 도입$\cdot$ 확대를 위한 지원정책의 수립이 필요하다고 판단된다.

Perceptional Change of a New Product, DMB Phone

  • Kim, Ju-Young;Ko, Deok-Im
    • 마케팅과학연구
    • /
    • 제18권3호
    • /
    • pp.59-88
    • /
    • 2008
  • Digital Convergence means integration between industry, technology, and contents, and in marketing, it usually comes with creation of new types of product and service under the base of digital technology as digitalization progress in electro-communication industries including telecommunication, home appliance, and computer industries. One can see digital convergence not only in instruments such as PC, AV appliances, cellular phone, but also in contents, network, service that are required in production, modification, distribution, re-production of information. Convergence in contents started around 1990. Convergence in network and service begins as broadcasting and telecommunication integrates and DMB(digital multimedia broadcasting), born in May, 2005 is the symbolic icon in this trend. There are some positive and negative expectations about DMB. The reason why two opposite expectations exist is that DMB does not come out from customer's need but from technology development. Therefore, customers might have hard time to interpret the real meaning of DMB. Time is quite critical to a high tech product, like DMB because another product with same function from different technology can replace the existing product within short period of time. If DMB does not positioning well to customer's mind quickly, another products like Wibro, IPTV, or HSPDA could replace it before it even spreads out. Therefore, positioning strategy is critical for success of DMB product. To make correct positioning strategy, one needs to understand how consumer interprets DMB and how consumer's interpretation can be changed via communication strategy. In this study, we try to investigate how consumer perceives a new product, like DMB and how AD strategy change consumer's perception. More specifically, the paper segment consumers into sub-groups based on their DMB perceptions and compare their characteristics in order to understand how they perceive DMB. And, expose them different printed ADs that have messages guiding consumer think DMB in specific ways, either cellular phone or personal TV. Research Question 1: Segment consumers according to perceptions about DMB and compare characteristics of segmentations. Research Question 2: Compare perceptions about DMB after AD that induces categorization of DMB in direction for each segment. If one understand and predict a direction in which consumer perceive a new product, firm can select target customers easily. We segment consumers according to their perception and analyze characteristics in order to find some variables that can influence perceptions, like prior experience, usage, or habit. And then, marketing people can use this variables to identify target customers and predict their perceptions. If one knows how customer's perception is changed via AD message, communication strategy could be constructed properly. Specially, information from segmented customers helps to develop efficient AD strategy for segment who has prior perception. Research framework consists of two measurements and one treatment, O1 X O2. First observation is for collecting information about consumer's perception and their characteristics. Based on first observation, the paper segment consumers into two groups, one group perceives DMB similar to Cellular phone and the other group perceives DMB similar to TV. And compare characteristics of two segments in order to find reason why they perceive DMB differently. Next, we expose two kinds of AD to subjects. One AD describes DMB as Cellular phone and the other Ad describes DMB as personal TV. When two ADs are exposed to subjects, consumers don't know their prior perception of DMB, in other words, which subject belongs 'similar-to-Cellular phone' segment or 'similar-to-TV' segment? However, we analyze the AD's effect differently for each segment. In research design, final observation is for investigating AD effect. Perception before AD is compared with perception after AD. Comparisons are made for each segment and for each AD. For the segment who perceives DMB similar to TV, AD that describes DMB as cellular phone could change the prior perception. And AD that describes DMB as personal TV, could enforce the prior perception. For data collection, subjects are selected from undergraduate students because they have basic knowledge about most digital equipments and have open attitude about a new product and media. Total number of subjects is 240. In order to measure perception about DMB, we use indirect measurement, comparison with other similar digital products. To select similar digital products, we pre-survey students and then finally select PDA, Car-TV, Cellular Phone, MP3 player, TV, and PSP. Quasi experiment is done at several classes under instructor's allowance. After brief introduction, prior knowledge, awareness, and usage about DMB as well as other digital instruments is asked and their similarities and perceived characteristics are measured. And then, two kinds of manipulated color-printed AD are distributed and similarities and perceived characteristics for DMB are re-measured. Finally purchase intension, AD attitude, manipulation check, and demographic variables are asked. Subjects are given small gift for participation. Stimuli are color-printed advertising. Their actual size is A4 and made after several pre-test from AD professionals and students. As results, consumers are segmented into two subgroups based on their perceptions of DMB. Similarity measure between DMB and cellular phone and similarity measure between DMB and TV are used to classify consumers. If subject whose first measure is less than the second measure, she is classified into segment A and segment A is characterized as they perceive DMB like TV. Otherwise, they are classified as segment B, who perceives DMB like cellular phone. Discriminant analysis on these groups with their characteristics of usage and attitude shows that Segment A knows much about DMB and uses a lot of digital instrument. Segment B, who thinks DMB as cellular phone doesn't know well about DMB and not familiar with other digital instruments. So, consumers with higher knowledge perceive DMB similar to TV because launching DMB advertising lead consumer think DMB as TV. Consumers with less interest on digital products don't know well about DMB AD and then think DMB as cellular phone. In order to investigate perceptions of DMB as well as other digital instruments, we apply Proxscal analysis, Multidimensional Scaling technique at SPSS statistical package. At first step, subjects are presented 21 pairs of 7 digital instruments and evaluate similarity judgments on 7 point scale. And for each segment, their similarity judgments are averaged and similarity matrix is made. Secondly, Proxscal analysis of segment A and B are done. At third stage, get similarity judgment between DMB and other digital instruments after AD exposure. Lastly, similarity judgments of group A-1, A-2, B-1, and B-2 are named as 'after DMB' and put them into matrix made at the first stage. Then apply Proxscal analysis on these matrixes and check the positional difference of DMB and after DMB. The results show that map of segment A, who perceives DMB similar as TV, shows that DMB position closer to TV than to Cellular phone as expected. Map of segment B, who perceive DMB similar as cellular phone shows that DMB position closer to Cellular phone than to TV as expected. Stress value and R-square is acceptable. And, change results after stimuli, manipulated Advertising show that AD makes DMB perception bent toward Cellular phone when Cellular phone-like AD is exposed, and that DMB positioning move towards Car-TV which is more personalized one when TV-like AD is exposed. It is true for both segment, A and B, consistently. Furthermore, the paper apply correspondence analysis to the same data and find almost the same results. The paper answers two main research questions. The first one is that perception about a new product is made mainly from prior experience. And the second one is that AD is effective in changing and enforcing perception. In addition to above, we extend perception change to purchase intention. Purchase intention is high when AD enforces original perception. AD that shows DMB like TV makes worst intention. This paper has limitations and issues to be pursed in near future. Methodologically, current methodology can't provide statistical test on the perceptual change, since classical MDS models, like Proxscal and correspondence analysis are not probability models. So, a new probability MDS model for testing hypothesis about configuration needs to be developed. Next, advertising message needs to be developed more rigorously from theoretical and managerial perspective. Also experimental procedure could be improved for more realistic data collection. For example, web-based experiment and real product stimuli and multimedia presentation could be employed. Or, one can display products together in simulated shop. In addition, demand and social desirability threats of internal validity could influence on the results. In order to handle the threats, results of the model-intended advertising and other "pseudo" advertising could be compared. Furthermore, one can try various level of innovativeness in order to check whether it make any different results (cf. Moon 2006). In addition, if one can create hypothetical product that is really innovative and new for research, it helps to make a vacant impression status and then to study how to form impression in more rigorous way.

  • PDF

BSC와 AHP를 활용한 IoT 인프라 도입 의사결정에 관한 연구: 전자가격라벨(ESL)을 중심으로 (A Study on Introduction of IoT Infrastructure based on BSC and AHP: Focusing on Electronic Shelf Label)

  • 양재용;이상열
    • 한국전자거래학회지
    • /
    • 제22권3호
    • /
    • pp.57-74
    • /
    • 2017
  • 전자가격라벨(ESL)은 상품진열대에 부착되어 있는 종이가격라벨의 대체재로서 오프라인 소매매장의 혁신을 선도할 유통 IoT 인프라로 주목받고 있다. 일반적으로 대체재 성격의 제품도입 시 기업은 기존 제품 대비 투자비용의 효율성이나 운영비용 절감 등의 재무적 요인을 우선적으로 고려하는 경향이 있다. 그러나 의사결정과정에서 재무적 요인만 고려할 경우 기업전략과 연결된 다양한 가치와 이해관계자들의 요구사항을 제대로 반영하지 못할 수 있다. 본 연구에서는 전자가격라벨과 같은 IoT 인프라의 도입 의사결정과정에서 고려해야 할 평가요인들에 관해 BSC의 4대 관점(재무, 고객, 프로세스, 성장)을 기반으로 8개 평가항목(투자비용, 운영비용, 품질수준, 고객관리, 업무효율성, 유지보수, 기능확장성, 매장이미지)을 선정하고, AHP(분석적 계층 프로세스)를 사용하여 국내 중소형 슈퍼마켓의 직원들을 대상으로 평가항목의 우선도를 측정하였다. 연구의 결과로 가격라벨의 대안 채택을 위한 평가항목 중에서 고객, 학습과 성장, 내부 비즈니스 프로세스, 재무관점 순으로 우선도가 산출되었고, 전자가격라벨이 종이가격라벨보다 높은 중요도로 지지되었다. 대부분의 선행연구에서 재무관점의 평가항목들의 우선도가 높았던 것과 달리 학습과 성장, 고객관점의 평가항목들이 상대적으로 높게 나타났고, 특히 직군별, 가격라벨 교체업무 연관 여부에 의해 구분된 응답자 그룹들 간에 8개 세부평가 항목들의 우선도가 다르게 나타났다. 이러한 결과는 ESL의 도입을 고려하는 기업(유통매장)과 ESL을 공급하는 기업(제조사 및 서비스 사업자) 모두에게 시사점을 제공해 줄 수 있을 것으로 기대된다.

국내 중소기업의 디자인경영 활성화 방안에 관한 연구 (A Study on Ways of Promoting Design Management in Domestic Small and Medium Businesses)

  • 이수봉
    • 디자인학연구
    • /
    • 제17권4호
    • /
    • pp.177-190
    • /
    • 2004
  • 본 연구는 디자인의 본격적인 도입 및 활용을 통해 디자인 경영을 활성화하려고 하는 국내 중소제조기업이, 디자인경영체제를 보다 효과적인 방법으로 도입 및 활성화할 수 있는 방안을 탐색,제안하는데 목적을 둔 것이다. 이를 위해 중소기업의 경영특성과 디자인경영의 도입 프로세스 및 방법과 디자인경영 활성화의 필요성에 대해 논의하고, 국내 중소기업의 산업디자인 도입 및 활용실태와 디자인경영 활성화 사례에 대한 분석을 실시하였으며, 이를 토대로 활성화방안을 도출하였다. 연구결과, 국내 중소기업이 디자인경영을 성공적으로 도입하기 위해서는 먼저 도입을 위한 선행조건으로서 3가지의 CEO 결단- 디자인 도입필요성에 대한 확고한 의지, 디자인의 효용성에 대한 확고한 신념, 디자인 존재가치에 대한 명확한 인식-이 있어야 하고, 그 위에 적어도 5가지 요소의 인프라- 디자인조직(부서), 디자인관리자(CDO), 디자이너, 디자인정책, 디자인전략- 가 구축되어야 한다는 것. 그리고 디자인경영활동의 활성화를 위해서는 도입단계의 3가지 CEO결단과 5가지 인프라요소를 바탕으로 디자인경영체제가 확립되어야 하며, CEO는 확고한 디자인경영 마인드를 갖고 자사의 제품개발과정에 다음과 같은 실천적 활동들이 혁신적${\cdot}$지속적으로 이루어지도록 노력해야 한다는 것이다. 1)자사의 신제품개발은 디자인개발우선의 원칙을 세우고, 그에 맞는 프로세스 및 생산시스템과 환경을 갖추도록 한다. 2)새로운 디자인개발을 자사의 최우선 경영과제로서 설정하고, 이를 전사원의 공통인식 속에서 전략적으로 추진한다. 3)디자인경영을 비용이 아닌 투자의 개념으로 인식${\cdot}$수용하고, 디자인개발에 적극 투자한다. 4)디자인경영은 제품의 경쟁력창출을 위한 산업디자인 뿐만 아니라, 기업디자인시스템 전반을 대상으로 한다는 이해를 바탕으로 디자인을 폭넓게 활용한다. 5)디자인은 기업경쟁력을 창출 및 결정하는 가장 중요한 요인이라는 인식을 갖고, 자사의 경영자원들 중 가장 비중 있는 자원으로서 취급한다.

  • PDF

울산 중화학공업의 재구조화 특성 - IMF 체제 이후의 기업전략을 중심으로 - (The Post-IMF firm strategy and the corporate restructuring in the heavy & chemical industrial district: the case of Ulsan, Korea)

  • 박양춘
    • 한국지역지리학회지
    • /
    • 제7권2호
    • /
    • pp.17-34
    • /
    • 2001
  • 본 연구는 울산시를 사례로 IMF 체제를 극복하는 과정에서의 기업의 재구조화 전략을 중심으로 우리나라 중화학공업의 재구조화 특성을 분석하였다. 울산 지역경제는 중화학부문의 대기업 분공장과 그 관련기업의 비중이 절대적이고, 특정 대기업과 중소기업간 수직적 하청관계에 기초한 대기업 주도의 산업구조로 특징 지워진다. IMF 체제를 계기로 시장 재구조화는 종래 가격경쟁에서 품질경쟁으로의 전환을 기조로 시장 확대, 판매처의 다양화 그리고 수출 확대 전략을 중심으로 생산제품 및 시장 다변화, 수출과 내수시장의 점유비율의 조정 등 다양한 전략으로 수요환경 변화에 대응하고 있다. 생산체계가 변화된 기업체는 절반에 미치지 않으나, 주로 소품종 소량생산체계에서 소품종 대량생산체계 혹은 다품종 대량생산에서 전문화와 규모경제를 동시에 추구하는 소품종 대량생산 체제로 전환하였다. 그리고 생산조직에 있어서는 특히 전문하청의 확대로 핵심기능만을 내부화하고 나머지는 외부화하여 비용절감과 수요변화에 신축적으로 대처하기 위한 전략을 추구하였다. 노동 재구조화에 있어서는 팀제도입, 육체적 정신적 노동의 결합과 소사장제 도입으로 생산현장의 의견을 의사결정에 반영할 수 있고, 다기능화와 노동혼합을 통한 노동조직상의 유연성을 제고하려는 전략을 채택하였다.

  • PDF

빅데이터 도입의도에 미치는 영향요인에 관한 연구: 전략적 가치인식과 TOE(Technology Organizational Environment) Framework을 중심으로 (An Empirical Study on the Influencing Factors for Big Data Intented Adoption: Focusing on the Strategic Value Recognition and TOE Framework)

  • 가회광;김진수
    • Asia pacific journal of information systems
    • /
    • 제24권4호
    • /
    • pp.443-472
    • /
    • 2014
  • To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

패션 팝업 스토어의 연도별 변화 추이 및 유형 특성 - 국내 사례를 중심으로 - (The characteristics of types and annual trends of pop-up fashion stores - Focused on domestic cases -)

  • 유지헌;최도리
    • 복식문화연구
    • /
    • 제23권5호
    • /
    • pp.822-834
    • /
    • 2015
  • Contemporary fashion companies have been planning marketing strategies that can promote brands and products more effectively for satisfying consumers' increasingly diversified needs. For this reason, retail spaces have continued to evolve and the modern concept of pop-up stores appeared through this process. Therefore, the object of this study was to research domestic pop-up fashion store cases by collecting article data. These data are from Internet fashion-specialty sites and analyze the types and characteristics of pop-up fashion stores by providing basic information that will be useful in the pop-up fashion stores of companies when they establish their marketing strategies. This study utilized the content analysis method and derived the results by using SPSS Statistics. As a result of this study, the type of "pop-up fashion stores opening in distribution enterprises" comprised the highest percentage of the whole store types and the pop-up fashion stores' management purposes were focused on product introduction, promotion, and market testing. As time passed, not only did pop-up fashion stores' growth rate increased, but also the types of pop-up fashion stores have become more diverse. In other words, contemporary fashion companies are utilizing more pop-up fashion stores as a marketing strategy than before. However, due to the short history of domestic pop-up fashion stores, the variety of research is still insufficient, so more extensive research on pop-up fashion stores is required.