• Title/Summary/Keyword: 마케팅관리

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Relationships between the Use Behavior, Motivation, Satisfaction, and Behavioral Intentions of Slow Tourism Tourists -With Focus on Daegu Ole Palgong Mountain Courses- (슬로우 투어리즘 관광객의 이용행태, 관광동기, 만족도와 행동의도간의 관계 -대구올레 팔공산 코스를 중심으로-)

  • Na, Hye-Hyun;Lee, Ju-Hee
    • Journal of Korean Society of Forest Science
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    • v.101 no.4
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    • pp.663-676
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    • 2012
  • The purpose of this study was to examine differences in motivation of the tourists, who visited the Daegu Ole Palgong mountain courses, according to the slow tourism tourists' demographic characteristics and use-behavior, and to examine the relationships between motivation and the degree of satisfaction of tourists and behavioral intention. Also, it was to present motivations and characteristics of slow tourism tourists and the accompanying managerial implications. In order to achieve this research purpose, a survey was conducted from May 8, 2010 to May 23, 2010 on the tourists who visited Daegu Ole Palgong mountain courses. The results of testing the hypotheses through empirical analysis were as follows. First, differences in motivations according to demographic characteristics and demographic characteristics and the use behavior of the tourists were partially adopted. Second, there were significantly positive (+) relationships between the motivations of visitors to the Daegu Ole Palgong mountain courses and the overall degree of satisfaction. Finally, the overall degree of satisfaction with the visits to Daegu Ole Palgong mountain courses had significantly positive (+) relationships with revisit intentions. These imply that it is necessary to provide differentiated strategies and programs and inducing strategies in accordance with the results presented. as well, marketing strategies to enhance the degree of satisfaction of the tourists should be considered.

A review of artificial intelligence based demand forecasting techniques (인공지능 기반 수요예측 기법의 리뷰)

  • Jeong, Hyerin;Lim, Changwon
    • The Korean Journal of Applied Statistics
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    • v.32 no.6
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    • pp.795-835
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    • 2019
  • Big data has been generated in various fields. Many companies have now tried to make profits by building a system capable of analyzing big data based on artificial intelligence (AI) techniques. Integrating AI technology has made analyzing and utilizing vast amounts of data increasingly valuable. In particular, demand forecasting with maximum accuracy is critical to government and business management in various fields such as finance, procurement, production and marketing. In this case, it is important to apply an appropriate model that considers the demand pattern for each field. It is possible to analyze complex patterns of real data that can also be enlarged by a traditional time series model or regression model. However, choosing the right model among the various models is difficult without prior knowledge. Many studies based on AI techniques such as machine learning and deep learning have been proven to overcome these problems. In addition, demand forecasting through the analysis of stereotyped data and unstructured data of images or texts has also shown high accuracy. This paper introduces important areas where demand forecasts are relatively active as well as introduces machine learning and deep learning techniques that consider the characteristics of each field.

The Distributional Characteristics of Organic Farming in South Korea (한국의 유기농산물 생산의 지역적 분포 특성)

  • Chung, Hee-Sun
    • Journal of the Korean association of regional geographers
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    • v.9 no.3
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    • pp.329-348
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    • 2003
  • This paper has examined the origin of organic fanning, its development stages, its certification program, and its distributional characteristics in South Korea. Organic agriculture in South Korea originated in the late 1970s as several organic farmers' associations started to be formed. However, the certification of organic farm products, based upon the Codex guideline on organic produce as well as the FAO/WHO find standards, was not institutionalized with the year 2001. A majority of organic products are currently certified as farm products grown with low chemical input. Vegetables grown without any chemical input occupy the largest proportion of the certified produce, while fruits take the smallest. The average size of farms practicing organic agriculture is 0.88 hectare, smaller than the scale of conventional farms being 1.39 hectare. These organic farms are concentrated in Gyeonggi, Chungcheongbuk, and Jeju Province, where organic farmers' associations were first founded. The roles of those associations not only in developing and extending organic farming techniques but also in promoting organic agriculture to consumers were most critical in the regional development of organic farming. It would be desirable for local governments to promote organic farming in tandem with a whole environmental movement.

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Research Trends and Tasks of Geotourism Studies in Korea (한국에서의 지오투어리즘(Geotourism) 연구동향과 과제)

  • Kim, Beom Hoon
    • Journal of the Korean association of regional geographers
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    • v.19 no.3
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    • pp.476-493
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    • 2013
  • Geoturism has been discussed from multiple perspectives in geomorphology and geology as well as tourism domain since 2000. As of May 2013, 172 academic papers and reports on Geoturism have been published in domestic journals. Themes of these researches can be categorized into 6 topics: resource development (i.e. natural resource development, cultural resource development, development of geopark), conservation and management, geoturist, local resident participation and public relations marketing, political approaches. Resource development among those topics has been treated the most: development and utilization of important geomorphological and geological landscape resources, storytelling development about cultual resources, contents development for geopark. On the whole, it is significant that geotourism is actively discussed in geography domain such as geomorphology rather than in geology domain. Up to date, those topics have also been treated only in certain academic areas. In the future researches, efforts for the balance among those topics and creating new themes from various research areas is necessary. Moreover, community networking among locals-municipalities-academia is also necessary to increase local participants.

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유기농 이유식 제품 제조 기술 현황과 소비 전망

  • Sin, Hyeon-Ho
    • 한국유가공학회:학술대회논문집
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    • 2006.06a
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    • pp.29-45
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    • 2006
  • 최근에 들어 웰빙(well-being)과 함께 로하스(LOHAS: Lifestyle of Health and Sustainability)란 개념이 급속도로 확산되고 있으며, 이를 만족하는 식품으로 친환경 농산물과 유기 가공 식품이 대두되고 있다. 여러 마케팅 조사에서도 친환경 농산물과 유기 가공 식품의 소비자 선호도는 상당히 높게 나타난다. 이러한 다양한 소비자의 요구에 맞춰 우리의 2세에게 더욱 안전하고 좋은 품질의 이유식을 제공하고 나아가 한계에 이른 '지구와 환경을 해치지 않는 지속가능 한 소비'를 유도하고자 업체들은 유기농 이유식을 개발하고 있다. 유기농 소비자 10명 가운데 7명은 최근의 웰빙 붐 때문에 유기농에 관심을 가지게 됐으며, 가격이 다소 비싸더라도 가족의 건강을 위해 친환경 농산물을 구입하는 것으로 나타났으며, 국내외를 막론하고 친환경 농산물과 유피 가공 식품의 시장 동향을 살펴보면 지속적으로 증가하고 있으나, 아직까지 일반 제품에 비해 미미한 수준이며, 국내는 인증 제도가 없으나, 유기 가공 식품표시기준에 따라 표시되고 있다. 일반적으로 이유식이라 함은 식품공전에서 영 ${\cdot}$ 유아용 곡류 조제식만을 말하지만 넓게 축산물의 조제유류, 영아용 조제식, 성장기용 조제식, 기타 영 ${\cdot}$ 유아식을 포함할 수 있으며, 유기농 이유식 제조 현황을 살펴보면 동결, 분무, 드럼 등의 건조와 퍼핑이나 Extruder를 통한 알파화로 원료를 가공하여 은 살균, 멸균, 균질, 혼합, 건조, 냉각, 포장 등의 다양한 공정으로 이루어진 분무건조나 유동층이나 연속식 과립기를 사용하여 분말이나 입자형 이유식을 생산하며, 동결 건조를 하여 열수를 가해 죽 상태로 먹을 수 있도록 한 제품, 데워서 떠 먹일 수 있도록 병조림이나 레토르트 유동식 제품, 바로 마실 수 있는 쥬스류, 두유류, 과자 등으로 생산하고 있다. 주된 메이저4사는 일동후디스, 남양유업, 매일유업, 파스퇴르유업으로 다양한 제품들을 생산하고 있으며, 두유를 위주로 한 정식품, 연세우유와 종근당건강, 다양한 다국적 기업들의 제품이 수입되고 있는 실정이다. 이유식 시장도 96년 하반기부터 정체를 보이는 상태다. 2002년도 이유식 시장은 약 1,300억원 규모로 업체들의 고가 신제품과 유기농 이유식 출시로 판매 금액은 소폭 상승하였으나 판매 수량은 큰 변동이 없다. 저출산에 따른 양육비 집중과 유기농 제품에 대한 저변이 크게 확산돼 베이비 웰빙은 어느 정도 예견된 일이거니와 이미 미국 등 선진국에선 유아에 그치지 않고 아동까지 유기농과 고급 원료를 사용한 고가의 웰빙 제품이 봇물을 이루고 있는 상황이어서 유아식 시장은 어느 때보다 경쟁이 치열할 것이며, 국내 식품 업체들이 너도나도 유기농 제품과 매장사업에 뛰어들고 있다. 유기 가공 식품의 지속적인 발전을 위해서 (1) 국내산/수입산 공통으로 인증 제도가 도입되고 원료 농산물뿐만 아니라, 모든 공정이나 공장에 대한 종합적 관리와 동일한 인증 표시가 이루어져야 한다. (2) 정부 부처의 이기를 타파할 수 있는 법정부적 기구나 대책이 필요하다. (3) 유기 가공 식품을 취급하는 업계에서는 기존 3%의 비의도적 혼입치의 고려나 상한선 재설정을 요구하고 진정한 유기 가공 식품으로 공정 경쟁한다. (4) 활발한 인증심사원의 교육과 배출로 인증이나 심사기관의 민간 이양을 적극 장려하고 국가관 상호 신뢰를 구축한다. (5) 각 소비자 단체나 소비자는 환경을 살리고 생명체의 공생이라는 관점에서 최선의 길이 유기농 제품임을 인식하고 소비하여 우리의 다음 세대에게서 빌려온 소중한 환경을 물려준다.

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Neural responses to sonic branding : an fMRI study (소닉 브랜딩에 대한 신경 반응 : fMRI 연구)

  • Sung, Young-Shin;Choi, Min-Jo;Chung, Sun-Joo;Kim, Chai-Youn
    • Science of Emotion and Sensibility
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    • v.14 no.1
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    • pp.93-100
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    • 2011
  • Sonic branding is defined as creation and management of brand value by using sounds. Among various methods of sonic branding, sonic logo, i.e., brand’s acoustic identification element, is the most widely used form and usually combined with visual logo. Although sonic branding has become an increasingly important tool for marketers, little academic research has been done on this topic. The current study investigates neural responses to sonic branding using functional Magnetic Resonance Imaging (fMRI). Brain activity of 15 right-handed participants was monitored with 3T MRI machine, while they viewed sequentially presented pictures of brand logos (20 visual logos usually accompanied by sonic logos and 20 visual logos unaccompanied by sonic logos) without sound. Results showed that brain areas known to be associated with auditory imagery (including superior temporal gyrus, STG), showed greater activation for the visual logos usually accompanied by sonic logos compared to visual logos unaccompanied by sonic logos, although actual sound was not presented during scanning. The degree of familiarity participants have with the brand and its advertisements was correlated positively with signal strength in these areas.

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Deep Neural Network Based Prediction of Daily Spectators for Korean Baseball League : Focused on Gwangju-KIA Champions Field (Deep Neural Network 기반 프로야구 일일 관중 수 예측 : 광주-기아 챔피언스 필드를 중심으로)

  • Park, Dong Ju;Kim, Byeong Woo;Jeong, Young-Seon;Ahn, Chang Wook
    • Smart Media Journal
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    • v.7 no.1
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    • pp.16-23
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    • 2018
  • In this paper, we used the Deep Neural Network (DNN) to predict the number of daily spectators of Gwangju - KIA Champions Field in order to provide marketing data for the team and related businesses and for managing the inventories of the facilities in the stadium. In this study, the DNN model, which is based on an artificial neural network (ANN), was used, and four kinds of DNN model were designed along with dropout and batch normalization model to prevent overfitting. Each of four models consists of 10 DNNs, and we added extra models with ensemble model. Each model was evaluated by Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The learning data from the model randomly selected 80% of the collected data from 2008 to 2017, and the other 20% were used as test data. With the result of 100 data selection, model configuration, and learning and prediction, we concluded that the predictive power of the DNN model with ensemble model is the best, and RMSE and MAPE are 15.17% and 14.34% higher, correspondingly, than the prediction value of the multiple linear regression model.

A Comparison of Internet Practices between U.S. and South Korean Firms from Value Chain Perspective (한.미 기업의 인터넷 활용 비교 연구: 가치사슬을 중심으로)

  • Lee, Seog-Jun;Nam, Kyung-Doo;Koh, Chang-E.
    • Information Systems Review
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    • v.6 no.2
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    • pp.79-94
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    • 2004
  • The Internet is now an ubiquitous technology in business and possesses the potential to make the concept of value chain into an attainable reality. We posit that the way the Internet is utilized, the extent of the Internet's impact on business performance, and the extent the firms are prepared to take advantage of the Internet varies from country to country and from industry to industry. Based on data collected from 54 firms in the U.S. and 135 in South Korea, we compared the two countries (U.S. and South Korea) and two major industry groups (manufacturing and service) regarding the pattern of Internet utilization on the Internet from a value chain perspective. The findings show that U.S. companies utilize the Internet more extensively in such areas as human resources management, automation, sales, and advertising than the South Korean counterparts. However, we did not find a statistically significant difference in the way the two countries use the Internet within a value chain model. We also compared Internet practices by industry sector (i.e., service vs. manufacturing) within each country. The results show that firms in the service sector tend to use the Internet more extensively than the manufacturing counterparts in both countries. Particularly in Korea the difference between the sectors was significant in the extent to which they utilized the Internet to support such business activities as inter-organizational alliance, communication, and marketing.

Influence of On-line Brand Communities on Customers' Attitudes -Focusing on the Brand Selection of Online Universities- (온라인 브랜드커뮤니티가 소비자 태도에 미치는 영향 -온라인 대학 브랜드 선택을 중심으로-)

  • Rhie, Jinny
    • The Journal of the Korea Contents Association
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    • v.10 no.12
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    • pp.366-377
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    • 2010
  • As internet and mobile technology brings rapid transformation to this society of information, how relations are conducted between customers have become a critical factor influencing companies. Companies are creating Internet communities based on their brands, encouraging customers to actively form and develop brand communities. Thus, this report proposes a plan to analyze the effectiveness of community activities based on the customers active involvement and how to effectively manage and utilize it. The purpose of this research is to understand the effects on-line brand communities and their characters have on customer behavior. Also, it will study the effects community attitudes have on brand decisions and oral transmission communication when on-line brand communities choose a brand. This report was conducted to survey on-line university students to understand how communities' attitude affects the decision of on-line university brand and oral transmissions when students choose to study at a on-line university. According to research, those factors brought positive responses to character of the brand communities(confidentiality of information, interactivity, convenience, intimacy) and by doing so, on the customer's attitude side, positive results on intention of purchase and oral transmissions can be expected. In addition, the character of the brand communities affects intention of purchase and oral transmission communication. Based on this research, it is possible to propose a marketing strategy that revitalizes brand communities' activities.

SNS Mall: A Study on the Analysis of SNS(Social Networking Service) Functions Applicable to Electronic Commerce for Building Regular Relationship with Customers (SNS 몰: 전자상거래에서 적용할 수 있는 SNS의 기능 분석 및 활용에 관한 연구)

  • Gim, Mi-Su;Ra, Young-Gook
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.5
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    • pp.1-7
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    • 2020
  • We can build regular customer relationships combining SNS (social networking service) with shopping mall like offline trade. A customer who once purchased is registered as reaular and the relationship continues afterward. The registered regular customer get sthe information about objective product shipment and besides it, he contacts with a story of frams, growth of vegetables, sows to harvests. Consumer can purchase with one click necessary foods as he looks at timeline. Sellers give information about news. discounts to customers. Besides it, food storages, recipes can be given to consumers. The good point here is that selling and promoting can be performed within one account. This is better than link is provided for selling an promoting separately. Like this, besides personal connections using SNS, categorization function gives consumers on line shopping mall service. Once the consumer purchase, he is registered as regular. Besides, the consumers who do not know each other, can share information, suggest products, spread the news.