• Title/Summary/Keyword: Network marketing

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A Revitalize Rural Hub Project in Hwayang-eup by Introducing the Concept of Place Marketing (장소마케팅 개념을 도입한 화양읍 농촌중심지 활성화 사업 계획)

  • Park, ji-Hwan;Kim, Tae-Gu;Oh, Chang-Song
    • Journal of Korean Society of Rural Planning
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    • v.25 no.2
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    • pp.119-130
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    • 2019
  • In a situation in which rural areas are declining, local governments are seeking to revitalize areas by place marketing. Place marketing, defined by various efforts to promote the image of a place, has been used as an economic tool. As a result, the image has been over-promoted and marketing has been driven in a perfunctory manner, so individual residents' lives and experiences have been ignored. Thus, in addition to the traditional types of cultural place marketing and economic place marketing, this study established a 'project for rural revitalization of Hwayang-eup' so that it could be applied to political place marketing aimed at inducing internal investment and improving the welfare of local residents. To implement this project, the concept was set up as building network organization, sustainable development and symbiotic relationship, and various H/W and S/W plans were developed. First of all, in terms of political place marketing, the Hwaeyang Oulim Center was constructed to strengthen the capacity of local autonomous organizations. In terms of cultural place marketing, we explored cultural resources at the village level and created a small community space. In terms of economic place marketing, the landscape around the main street and the township was reorganized to create a cultural business space for urban and rural exchanges. The reinterpretation of place marketing seen through this project was first, it was more process-oriented than results, second, it was important to induce the community-participating village-making project, and finally, the role of experts was important to expand the community movement.

Managing Duplicate Memberships of Websites : An Approach of Social Network Analysis (웹사이트 중복회원 관리 : 소셜 네트워크 분석 접근)

  • Kang, Eun-Young;Kwahk, Kee-Young
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.153-169
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    • 2011
  • Today using Internet environment is considered absolutely essential for establishing corporate marketing strategy. Companies have promoted their products and services through various ways of on-line marketing activities such as providing gifts and points to customers in exchange for participating in events, which is based on customers' membership data. Since companies can use these membership data to enhance their marketing efforts through various data analysis, appropriate website membership management may play an important role in increasing the effectiveness of on-line marketing campaign. Despite the growing interests in proper membership management, however, there have been difficulties in identifying inappropriate members who can weaken on-line marketing effectiveness. In on-line environment, customers tend to not reveal themselves clearly compared to off-line market. Customers who have malicious intent are able to create duplicate IDs by using others' names illegally or faking login information during joining membership. Since the duplicate members are likely to intercept gifts and points that should be sent to appropriate customers who deserve them, this can result in ineffective marketing efforts. Considering that the number of website members and its related marketing costs are significantly increasing, it is necessary for companies to find efficient ways to screen and exclude unfavorable troublemakers who are duplicate members. With this motivation, this study proposes an approach for managing duplicate membership based on the social network analysis and verifies its effectiveness using membership data gathered from real websites. A social network is a social structure made up of actors called nodes, which are tied by one or more specific types of interdependency. Social networks represent the relationship between the nodes and show the direction and strength of the relationship. Various analytical techniques have been proposed based on the social relationships, such as centrality analysis, structural holes analysis, structural equivalents analysis, and so on. Component analysis, one of the social network analysis techniques, deals with the sub-networks that form meaningful information in the group connection. We propose a method for managing duplicate memberships using component analysis. The procedure is as follows. First step is to identify membership attributes that will be used for analyzing relationship patterns among memberships. Membership attributes include ID, telephone number, address, posting time, IP address, and so on. Second step is to compose social matrices based on the identified membership attributes and aggregate the values of each social matrix into a combined social matrix. The combined social matrix represents how strong pairs of nodes are connected together. When a pair of nodes is strongly connected, we expect that those nodes are likely to be duplicate memberships. The combined social matrix is transformed into a binary matrix with '0' or '1' of cell values using a relationship criterion that determines whether the membership is duplicate or not. Third step is to conduct a component analysis for the combined social matrix in order to identify component nodes and isolated nodes. Fourth, identify the number of real memberships and calculate the reliability of website membership based on the component analysis results. The proposed procedure was applied to three real websites operated by a pharmaceutical company. The empirical results showed that the proposed method was superior to the traditional database approach using simple address comparison. In conclusion, this study is expected to shed some light on how social network analysis can enhance a reliable on-line marketing performance by efficiently and effectively identifying duplicate memberships of websites.

A Heuristic Algorithm for the Reliability Optimization of a Distributed Communication Network

  • Hung, Chih-Young;Yang, Jia-Ren;Park, Dong-Ho;Liu, Yi-Hsin
    • International Journal of Reliability and Applications
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    • v.9 no.1
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    • pp.1-5
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    • 2008
  • A heuristic algorithm for reliability optimization of a distributed network system is developed so that the reliability of a large system can be determined efficiently. This heuristic bases on the determination of maximal reliability set of maximum node capacity, maximal link reliability and maximal node degree.

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A Study on the Influence of Affct Based Trust and Cognition Based Trust on Word-of-Mouth Behaviors -Focusing on Friendship Network and Advice Network- (정서기반신뢰와 인지기반신뢰가 구전행동에 미치는 영향 연구 -친교네트워크와 조언네트워크를 중심으로-)

  • Bae, Se-Ha;Kim, Sang-Hee
    • Management & Information Systems Review
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    • v.32 no.5
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    • pp.193-231
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    • 2013
  • As developed IT, Word-of-Mouth(WOM) used varied terms as buzz marketing and viral marketing, and impressed that importance. Despite introduced new marketing tool on managers and professionals, online word-of-mouth including SNS lack of study on social network what based viral in marketing. In social network, patterns of relationship between individuals influence each other individual behaviors. Therefore this research grouped friendship-network and advice-network by characteristics, studied on trust of information source that antecedents of word-of-mouth in network. This study examined that affect- and cognition based trust affect WOM acceptance as WOM behaviors and examined effect of type of product as moderating variable. Additional this literature studied that WOM acceptance affect WOM recommend. To find the Influence of Trust on Word-of-Mouth Behaviors, a survey has done 206 samples(undergraduate students). The results of this study are as following : First, type of trust different friendship network and advice network. Affect-based trust is outstanding in friendship network than in advice network, while cognition-based trust stands out in advice network than another. Second, affect- and cognition based trust positive affect WOM acceptance. Contrary to expectations, what is preconceived trust in network have a similar effect for WOM acceptance regardless of type of trust. Third, WOM acceptance positive affect WOM recommend. Fourth, affect based trust affect WOM acceptance of hedonic product rather than utilitarian product. Upon especially in friendship network terms, affect-based trust has a more effect on WOM acceptance than cognition-based trust. This study has many implications. First, it is important that trust what have an influence WOM acceptance grouped affect- and cognition based trust. Second, it confirmed that trust is antecedents of positive WOM. Third, it is important that network grouped friendship network and advice-network by trust. Fourth, it gave managerial implications that they have to supply WOM through which network by type of product. We This study classified network and trust based on previous study. Then it examined relations between WOM behaviors. Further research could do enrich various things for example various age group, valence of message, quality of information.

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A Supply Chain Management Process Modeling for an Agriculture Marketing Information System (농산물 유통 정보화를 위한 공급사슬경영 프로세스 모델링)

  • Myung, Kwang-Sick;Park, Sei-Kwon;Kang, Dae-Won
    • IE interfaces
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    • v.13 no.3
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    • pp.358-377
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    • 2000
  • A supply chain is a network of facilities and distribution options that performs the functions of procurement of materials, transformation of these materials into intermediate and finished products, and the distribution of these finished products to customers. SCM(Supp1y Chain Management), by definition, encompasses all activities associated with moving goods, from the raw materials stage through to the end user. It includes source and procurement, production scheduling, order processing, inventory management, transportation, warehousing, and customer service. Importantly, it encompasses the information systems used to monitor these activities. In this paper, the present situation and problems of marketing process in Korean agricultural environments were reviewed through a systematic methodology, and then we proposed a new business process for solving these problems by appling a supply chain management. We expect this supply chain management system applied to agricultural marketing process can improve significantly the rationality and transparency of Korean agricultural marketing structure.

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A study on Maritime Marketing strategy in the information Era (정보화시대 해운마케팅 전략에 관한 소고)

  • 김대진;전준수
    • Journal of Korea Port Economic Association
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    • v.18 no.2
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    • pp.47-64
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    • 2002
  • Global Shipping companies and harbor facilities have tried to construct e-business network to strengthen the competitiveness in this rapidly changing cyber environment. from now on, in a few years, it will be backward enterprises and business that could not adapt this e-business currency, international shipping companies has been together The intta and The GTnexus web site for customer need to fulfill Gradually this currency is going to expand in the world The goal of this research is to study up-to-date internet marketing strategy and global shipping company's present condition of on-line marketing. it will be helpful to make domestic marketing business competitive and to acquire superior position for Domestic shipping company in market.

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Understanding Brand Image from Consumer-generated Hashtags

  • Park, Keeyeon Ki-cheon;Kim, Hye-jin
    • Asia Marketing Journal
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    • v.22 no.3
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    • pp.71-85
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    • 2020
  • Social media has emerged as a major hub of engagement between brands and consumers in recent years, and allows user-generated content to serve as a powerful means of encouraging communication between the sides. However, it is challenging to negotiate user-generated content owing to its lack of structure and the enormous amount generated. This study focuses on the hashtag, a metadata tag that reflects customers' brand perception through social media platforms. Online users share their knowledge and impressions using a wide variety of hashtags. We examine hashtags that co-occur with particular branded hashtags on the social media platform, Instagram, to derive insights about brand perception. We apply text mining technology and network analysis to identify the perceptions of brand images among consumers on the site, where this helps distinguish among the diverse personalities of the brands. This study contributes to highlighting the value of hashtags in constructing brand personality in the context of online marketing.

Study on the Structural Causality of Social Network of Luxury Brands

  • LEE, Jae-Min
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.2
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    • pp.11-14
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    • 2022
  • Purpose: The purpose of this study is to investigate the structural causal relationship between the SNS marketing attributes of luxury brands on brand awareness, brand involvement, and brand attachment. Research design, data and methodology: To this end, a survey was conducted on 427 users of large Internet communities and SNS. The results of the empirical analysis are summarized as follows. Results: First, among SNS marketing attributes, information, reliability, and update had a significant positive (+) influence on purchase intention. Second, among SNS marketing attributes, informativity, interaction, playability, and update had a significant positive (+) influence on brand recognition. Reliability, interaction, and update had a significant positive (+) effect on brand involvement. In addition, in brand attachment, playability and up-to-dateness had a significant positive (+) influence. Conclusions: Looking at the causal relationship between brand attitudes, there was a significant positive influence on brand involvement, and a significant positive influence on brand involvement, but the effect of brand awareness on brand attachment was not significant.

The Influence of Shoppable Content Readability on Consumer Engagement in Brand Pages

  • Woo-Ryeong Yang;Minsoo Shin
    • Asia pacific journal of information systems
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    • v.31 no.2
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    • pp.197-219
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    • 2021
  • Social media platforms have become prominent channels for e-commerce, and the role of social network sites' (SNS) content marketing is expanding as a strategic marketing communication approach to attract and retain consumers and increase sales. In this study, we focused on South Korea market and explored the influence of linguistic complexity and informality on consumer engagement. In particular, we identified the importance of complexity, focusing on its negative effects, as well as the moderating effect of commerce features to minimize these effects. Specifically, content length, hashtags, long words, and average sentence length significantly and negatively impacted consumer engagement. The influence of emojis, an informality variable, was not statistically significant. Shoppable tags, a commerce feature that provides both advertising explicitness and shopping convenience, were a moderating factor in the influence of complexity. Our findings provide new insights for content marketing researchers, and have practical implications for social media managers and content developers.