• Title/Summary/Keyword: 기업 간 거래

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Social Network Analysis for the Effective Adoption of Recommender Systems (추천시스템의 효과적 도입을 위한 소셜네트워크 분석)

  • Park, Jong-Hak;Cho, Yoon-Ho
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.305-316
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    • 2011
  • Recommender system is the system which, by using automated information filtering technology, recommends products or services to the customers who are likely to be interested in. Those systems are widely used in many different Web retailers such as Amazon.com, Netfix.com, and CDNow.com. Various recommender systems have been developed. Among them, Collaborative Filtering (CF) has been known as the most successful and commonly used approach. CF identifies customers whose tastes are similar to those of a given customer, and recommends items those customers have liked in the past. Numerous CF algorithms have been developed to increase the performance of recommender systems. However, the relative performances of CF algorithms are known to be domain and data dependent. It is very time-consuming and expensive to implement and launce a CF recommender system, and also the system unsuited for the given domain provides customers with poor quality recommendations that make them easily annoyed. Therefore, predicting in advance whether the performance of CF recommender system is acceptable or not is practically important and needed. In this study, we propose a decision making guideline which helps decide whether CF is adoptable for a given application with certain transaction data characteristics. Several previous studies reported that sparsity, gray sheep, cold-start, coverage, and serendipity could affect the performance of CF, but the theoretical and empirical justification of such factors is lacking. Recently there are many studies paying attention to Social Network Analysis (SNA) as a method to analyze social relationships among people. SNA is a method to measure and visualize the linkage structure and status focusing on interaction among objects within communication group. CF analyzes the similarity among previous ratings or purchases of each customer, finds the relationships among the customers who have similarities, and then uses the relationships for recommendations. Thus CF can be modeled as a social network in which customers are nodes and purchase relationships between customers are links. Under the assumption that SNA could facilitate an exploration of the topological properties of the network structure that are implicit in transaction data for CF recommendations, we focus on density, clustering coefficient, and centralization which are ones of the most commonly used measures to capture topological properties of the social network structure. While network density, expressed as a proportion of the maximum possible number of links, captures the density of the whole network, the clustering coefficient captures the degree to which the overall network contains localized pockets of dense connectivity. Centralization reflects the extent to which connections are concentrated in a small number of nodes rather than distributed equally among all nodes. We explore how these SNA measures affect the performance of CF performance and how they interact to each other. Our experiments used sales transaction data from H department store, one of the well?known department stores in Korea. Total 396 data set were sampled to construct various types of social networks. The dependant variable measuring process consists of three steps; analysis of customer similarities, construction of a social network, and analysis of social network patterns. We used UCINET 6.0 for SNA. The experiments conducted the 3-way ANOVA which employs three SNA measures as dependant variables, and the recommendation accuracy measured by F1-measure as an independent variable. The experiments report that 1) each of three SNA measures affects the recommendation accuracy, 2) the density's effect to the performance overrides those of clustering coefficient and centralization (i.e., CF adoption is not a good decision if the density is low), and 3) however though the density is low, the performance of CF is comparatively good when the clustering coefficient is low. We expect that these experiment results help firms decide whether CF recommender system is adoptable for their business domain with certain transaction data characteristics.

The Impact of Conflict and Influence Strategies Between Local Korean-Products-Selling Retailers and Wholesalers on Performance in Chinese Electronics Distribution Channels: On Moderating Effects of Relational Quality (중국 가전유통경로에서 한국제품 현지 판매업체와 도매업체간 갈등 및 영향전략이 성과에 미치는 영향: 관계 질의 조절효과)

  • Chun, Dal-Young;Kwon, Joo-Hyung;Lee, Guo-Ming
    • Journal of Distribution Research
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    • v.16 no.3
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    • pp.1-32
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    • 2011
  • I. Introduction: In Chinese electronics industry, the local wholesalers are still dominant but power is rapidly swifting from wholesalers to retailers because in recent foreign big retailers and local mass merchandisers are growing fast. During such transient period, conflicts among channel members emerge important issues. For example, when wholesalers who have more power exercise influence strategies to maintain status, conflicts among manufacturer, wholesaler, and retailer will be intensified. Korean electronics companies in China need differentiated channel strategies by dealing with wholesalers and retailers simultaneously to sell more Korean products in competition with foreign firms. For example, Korean electronics firms should utilize 'guanxi' or relational quality to form long-term relationships with whloesalers instead of power and conflict issues. The major purpose of this study is to investigate the impact of conflict, dependency, and influence strategies between local Korean-products-selling retailers and wholesalers on performance in Chinese electronics distribution channels. In particular, this paper proposes effective distribution strategies for Korean electronics companies in China by analyzing moderating effects of 'Guanxi'. II. Literature Review and Hypotheses: The specific purposes of this study are as follows. First, causes of conflicts between local Korean-products-selling retailers and wholesalers are examined from the perspectives of goal incongruence and role ambiguity and then effects of these causes are found out on perceived conflicts of local retailers. Second, the effects of dependency of local retailers upon wholesalers are investigated on local retailers' perceived conflicts. Third, the effects of non-coercive influence strategies such as information exchange and recommendation and coercive strategies such as threats and legalistic pleas exercised by wholesalers are explored on perceived conflicts by local retailers. Fourth, the effects of level of conflicts perceived by local retailers are verified on local retailers' financial performance and satisfaction. Fifth, moderating effects of relational qualities, say, 'quanxi' between wholesalers and retailers are analyzed on the impact of wholesalers' influence strategies on retailers' performances. Finally, moderating effects of relational qualities are examined on the relationship between conflicts and performance. To accomplish above-mentioned research objectives, Figure 1 and the following research hypotheses are proposed and verified. III. Measurement and Data Analysis: To verify the proposed research model and hypotheses, data were collected from 97 retailers who are selling Korean electronic products located around Central and Southern regions in China. Covariance analysis and moderated regression analysis were employed to validate hypotheses. IV. Conclusion: The following results were drawn using structural equation modeling and hierarchical moderated regression. First, goal incongruence perceived by local retailers significantly affected conflict but role ambiguity did not. Second, consistent with conflict spiral theory, the level of conflict decreased when retailers' dependency increased toward wholesalers. Third, noncoercive influence strategies such as information exchange and recommendation implemented by wholesalers had significant effects on retailers' performance such as sales and satisfaction without conflict. On the other hand, coercive influence strategies such as threat and legalistic plea had insignificant effects on performance in spite of increasing the level of conflict. Fourth, 'guanxi', namely, relational quality between local retailers and wholesalers showed unique effects on performance. In case of noncoercive influence strategies, 'guanxi' did not play a role of moderator. Rather, relational quality and noncoercive influence strategies can serve as independent variables to enhance performance. On the other hand, when 'guanxi' was well built due to mutual trust and commitment, relational quality as a moderator can positively function to improve performance even though hostile, coercive influence strategies were implemented. Fifth, 'guanxi' significantly moderated the effects of conflict on performance. Even if conflict arises, local retailers who form solid relational quality can increase performance by dealing with dysfunctional conflict synergistically compared with low 'quanxi' retailers. In conclusion, this study verified the importance of relational quality via 'quanxi' between local retailers and wholesalers in Chinese electronic industry because relational quality could cross out the adverse effects of coercive influence strategies and conflict on performance.

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Use of Chicken Meat and Processing Technologies (가금육의 이용과 가공기술)

  • Ahn, Dong-Uk
    • Proceedings of the Korea Society of Poultry Science Conference
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    • 2003.07b
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    • pp.67-88
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    • 2003
  • The consumption of poultry meat (chicken and turkey) grew the most during the past few decades due to several contributing factors such as low price. product research and development. favorable meat characteristics, responsive to consumer needs, vertical integration and industry consolidation, new processing equipments and technology, and aggressive marketing. The major processing technologies developed and used in chicken processing include forming/restructuring, tumbling, curing, smoking, massaging, injection, marination, emulsifying, breading, battering, shredding, dicing, and individual quick freezing. These processing technologies were applied to various parts of chicken including whole carcass. Product developments using breast, thigh, and mechanically separated chicken meat greatly increased the utilization of poultry meat. Chicken breast became the symbol of healthy food, which made chicken meat as the most frequent menu items in restaurants. However, the use of and product development for dark meat, which includes thigh, drum, and chicken wings were rather limited due to comparatively high fat content in dark meat. Majority of chicken are currently sold as further processed ready-to-cook or ready-to-eat forms. Major quality issues in chicken meat include pink color problems in uncured cooked breast, lipid oxidation and off-flavor, tenderness PSE breast, and food safety. Research and development to ensure the safety and quality of raw and cooked chicken meat using new processing technologies will be the major issues in the future as they are now. Especially, the application of irradiation in raw and cooked chicken meat products will be increased dramatically within next 5 years. The market share of ready-to-eat cooked meat products will be increased. More portion controlled finished products, dark meat products, and organic and ethnic products with various packaging approaches will also be introduced.

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Buyers' Trust in a Brand and Brand Loyalty in the business-to-business (산업재 시장에서 브랜드 신뢰와 브랜드 충성도에 관한 연구)

  • Han, Sang-Rin;Sung, Hyung-Suk
    • Proceedings of the Korean DIstribution Association Conference
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    • 2005.11a
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    • pp.29-51
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    • 2005
  • Brands are important in the consumer market. They are the interface between consumers and the company, consumers may develop loyalty to brands. also, The late development of industrial marketing explains the near absence of research on Brand Equity in business to business. With recent change, industrial companies have shifted from a production focus to a customer focus. industrial brand is fast developing. The basic purpose of this study is to investigate industrial brand trust and loyalty affecting the Result of business relationship between industrial buyers and suppliers. Factors hypothesized to influence trust in a brand include a number of brand characteristics, company characteristics and consumer-brand characteristics. This research presented a comprehensive constructive model consisting of components of industrial brand trust and loyalty, and then propose the research model base on prior researches and studies about relationships among components of industrial brand loyalty. Data were gathered from respondents who work in industrial buying center. For this study, Data were analyzed by SPSS 10.0 and AMOS 4.0. The results of this research analysis were as fallow. Industrial brand trust and loyalty were positively related with a number of industrial brand characteristics, supplier characteristics and buyer-brand characteristics. relationship commitment. This research newly proposed the concept of 'industrial brand trust and loyalty affecting the Result of business relationship between industrial buyers and suppliers'

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Analysis of the Effects of E-commerce User Ratings and Review Helfulness on Performance Improvement of Product Recommender System (E-커머스 사용자의 평점과 리뷰 유용성이 상품 추천 시스템의 성능 향상에 미치는 영향 분석)

  • FAN, LIU;Lee, Byunghyun;Choi, Ilyoung;Jeong, Jaeho;Kim, Jaekyeong
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.311-328
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    • 2022
  • Because of the spread of smartphones due to the development of information and communication technology, online shopping mall services can be used on computers and mobile devices. As a result, the number of users using the online shopping mall service increases rapidly, and the types of products traded are also growing. Therefore, to maximize profits, companies need to provide information that may interest users. To this end, the recommendation system presents necessary information or products to the user based on the user's past behavioral data or behavioral purchase records. Representative overseas companies that currently provide recommendation services include Netflix, Amazon, and YouTube. These companies support users' purchase decisions by recommending products to users using ratings, purchase records, and clickstream data that users give to the items. In addition, users refer to the ratings left by other users about the product before buying a product. Most users tend to provide ratings only to products they are satisfied with, and the higher the rating, the higher the purchase intention. And recently, e-commerce sites have provided users with the ability to vote on whether product reviews are helpful. Through this, the user makes a purchase decision by referring to reviews and ratings of products judged to be beneficial. Therefore, in this study, the correlation between the product rating and the helpful information of the review is identified. The valuable data of the evaluation is reflected in the recommendation system to check the recommendation performance. In addition, we want to compare the results of skipping all the ratings in the traditional collaborative filtering technique with the recommended performance results that reflect only the 4 and 5 ratings. For this purpose, electronic product data collected from Amazon was used in this study, and the experimental results confirmed a correlation between ratings and review usefulness information. In addition, as a result of comparing the recommendation performance by reflecting all the ratings and only the 4 and 5 points in the recommendation system, the recommendation performance of remembering only the 4 and 5 points in the recommendation system was higher. In addition, as a result of reflecting review usefulness information in the recommendation system, it was confirmed that the more valuable the review, the higher the recommendation performance. Therefore, these experimental results are expected to improve the performance of personalized recommendation services in the future and provide implications for e-commerce sites.

The Influence of Environmental Dynamism on Opportunism in Terms of Control Mechanism and Bureaucratic Structuring (환경의 동태성이 통제 메커니즘과 관료적 구조화를 매개로 기회주의에 미치는 영향)

  • Seol, Do-Won;Oh, Se-Jo;Sung, Min
    • Journal of Distribution Research
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    • v.14 no.2
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    • pp.1-30
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    • 2009
  • The purpose of this study is to investigate the direct and indirect modes of influences environmental dynamism exerts on opportunism, one of important relationship factors. This study particularly delves into the indirect modes of influence in terms of control strategy (control mechanism) and control structure (bureaucratic structuring). To this end, a survey research has been conducted of 200 suppliers in business relationships with Korean hypermarket retailers. An analysis of the collected data indicates that while environmental dynamism has a positive influence on the control mechanisms such as monitoring and incentives, it does not have a negative influence on the control structure such as participation. And then it has a positive influence on the opportunism of suppliers. In addition, participation has a negative influence on the opportunism, but monitoring and incentives do not have a negative influence on it. This study discusses how both retailers and their suppliers should respond to the domestic retail business environment with highly dynamic characteristics, in order to achieve a long-term win-win partnership with one another. It also presents ideas to retailers with regard to what kinds of management strategies and management efforts required to effectively control the opportunism of suppliers.

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A Study on the Scope and Determinants of Electronic Collaboration based on IT in Interorganizational Relationships (기업간 거래에서 정보기술을 활용한 전자적 협력의 범위와 선행요인에 관한 연구)

  • Choi, Su-Jeong
    • Journal of Information Technology Applications and Management
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    • v.15 no.4
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    • pp.159-188
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    • 2008
  • This study suggests strategies which can enable to creation of new opportunities of competitive advantages while operating a long lasting and consistent business with major trading partners, based on interorganizational information systems (IOISs) specially established and installed for interorganizational transactions. Nowadays, IOISs based mechanism having been widely expanded as a conventional business infrastructure for the interorganizational transactions and/or exchanges, it is customary difficult to obtain any strongly sound advantage over the competitors who have adopted even the simplest deployment of the IOIS mechanisms. In this connection, this study intends to investigate the interorganizational collaborative activities conducted by under the auspicious of IOISs, focused on the prospect of the exploitation of IOISs rather than the implementation of the IOISs. In this study, we, firstly, suggest the concept of Electronic Collaboration which can be defined by the collaborative activities conducted by IOISs, compared to the ones conducted on off-line. In addition, we suggest the Electronic Collaboration as a multi-dimensional concept, constituted by three sub-constructs, the Electronic Information Sharing (EIS), the Electronic Joint Activity (EJA), and the construction of the Electronic Relational Knowledge Store (ERKS). Secondly, we empirically verify the effects of relational and environmental determinants on the Electronic Collaboration. In this study, the relational determinants relate to the variables created in interorganizational relationship like Trust, Influence, Relational Specific Asset-asset invested for the transaction-, and Continuity of the relationship. On the other hand, the environmental determinants relate to the variables surrounding the relationship which are difficult to control. We consider Product Complexity, Technological Uncertainty, and Market Variability as the domain of the environmental determinants. To test our hypotheses, we conducted both paper-based survey and online-based survey. After refining the data with missing responses, a total of 150 data was used for analysis. The results were as follows : Firstly, it is statistically significant that the Electronic Collaboration is composed of EIS, EJA, and ERKS. In particular, the results imply that the firms are able to accumulate relational knowledge base as well as to exchange information or knowledge, and to conduct joint activities through effort to further expand the Electronic Collaboration. Secondly, we have verified the individual effects of the relational and the environmental determinants on the Electronic Collaboration. Product Complexity has been revealed as the most influential variable affecting the Electronic Collaboration. Next, Interorganizational Trust and Technological Uncertainty, in that order, have been seen to have significant effects on the Electronic Collaboration. In other words, when products or services seem to be difficult to standardize, and the core technologies seem to rapidly change, the need for the Electronic Collaboration increase. In addition, the observation dictates that the interorganizational trust turns out to be a critical variable in building a relationship and in seeking further collaboration. The results, further, illustrate that the environmental determinants are relatively more effective than the relational determinants, which is not consistent with a few prior researches relational determinants emphasized. It is because this study doesn't consider the size of the firm. A few researchers have given an emphasis on the relational determinants like trust and influence, especially from the perspective of small firms in interorganizational relationship. However, in our study, where all the sizes of the firms are contained, electronic collaboration is considerably affected by the environmental determinants.

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The Influence of Environmental Dynamism on Opportunism in Terms of Control Mechanism and Bureaucratic Structuring (환경의 동태성이 통제 메커니즘과 관료적 구조화를 매개로 기회주의에 미치는 영향)

  • Seol, Do-Won;O, Se-Jo;Seong, Min
    • Proceedings of the Korean DIstribution Association Conference
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    • 2007.08a
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    • pp.159-186
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    • 2007
  • In today's world, the ability to adapt to the rapidly changing environment is fundamental to the survival and success of any organizations. This is particularly true for the Korean retailing industry which is in the throe of sweeping developments. Against the backdrop of an increasing importance of the environmental factors, it is imperative to look into what efforts are required of corporate enterprises in order to achieve successful long-term partnerships between and among the parties involved in the retail value chain. In spite of the critical importance of the need to understand the environmental factors and their influences on the retail value chain, a serious theoretical and empirical study into this subject has never been conducted. Moreover, previous research has overlooked the various mechanisms influencing the value chain in terms of ,control strategy' and 'control structure'. The purpose of this study is to investigate the direct and indirect modes of influences environmental dynamism exerts on opportunism, one of important relationship factors. This study particularly delves into the indirect modes of influence in terms of control strategy (control mechanism) and control structure (bureaucratic structuring). To this end, a survey research has been conducted of 200 suppliers in business relationships with Korean hypermarket retailers. The survey results show that environmental dynamism has a positive correlation with the opportunism of suppliers. In addition, the control mechanisms such as monitoring and incentives employed by retailers, in turn, have an indirect influence on the opportunism of suppliers. In other words, the monitoring of retailers has a positive correlation with the opportunism of suppliers, while the use of bureaucratic structuring has a negative correlation with opportunism. This study discusses how both retailers and their suppliers should respond to the domestic retail business environment with highly dynamic characteristics, in order to achieve a long-term win-win partnership with one another. It also presents ideas to retailers with regard to what kinds of management strategies and management efforts required to effectively control the opportunism of suppliers.

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항공운송산업의 유효경쟁 (workable competition) 도입 필요성

  • Ma, Gyeong-Ha
    • The Journal of Aerospace Industry
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    • s.68
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    • pp.80-94
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    • 2006
  • 유효경쟁시장은 사업자의 수와 시장구조 측면에서는 독과점적인 시장이더라도 기존사업자간 경쟁이 상당히 치열하거나 잠재적 진입에 의한 경쟁압력이 커서 특정사업자가 시장지배력을 보유하거나 이를 행사하기 어려운 시장상태를 말하며, 항공산업의 경우 일반적인 네트워크 산업과 마찬가지로 대규모 설비투자가 필요하고 높은 고정비용과 규모의 경제가 뚜렷한 특성을 갖고 있으며 네트워크효과도 강하게 나타나 비대칭적 규제가 필요한 대표적인 산업이라고 할 수 있다. 우리나라 경제당국은 평균비용이 장기적으로 하락하는 대규모 자본산업에서 자연독점이 발생할 경우, 그 피해는 자연히 소비자에게 돌아 갈 것이며, 미국과 EC의 경쟁법상의 유효경쟁의 개념으로 제시되고 있는 요소들을 보면 주로 어느 한 기업이 시장지배력을 행사하는 시장상황을 나열하여 규제함으로써 최대의 이익이 소비자에게 돌아가도록 규제하고 있다. 항공운송사업은 자본집약적 서비스산업으로 일반서비스 산업에 비해 상대적으로 일정수준까지 자본투자가 전제되어야 하는 자본집약적 특성을 지닌다. 따라서 항공운송산업의 성패는 대규모 자본을 통한 운송능력에 대한 효율화 정도에 따라 결정된다. 여기에 시장에 진입 시기와 독점 유지기간도 중요한 역할을 한다. 또한 항공운송산업은 정부의 면허사업으로 선발항공사가 수익노선을 선점하여 운항할 경우, 정부의 별도 허가에 의하여 복수취항이 이루어진다고 하더라도 운항편수 및 고객 선호 시간대를 미리 선점할 수가 있어 후발항공사에 비해 우월적 지위를 갖게 되어 공정경쟁이 극히 어렵다고 할 수 있는데, 이는 수십년간 아시아나의 압도적인 서비스/안전에 대한 높은 평가에도 불구 대한항공과 아시아나의 격차는 2000년 이후 일정하게 유지되고 있다는 점에서 확인할 수 있다. 국내 항공운송산업은 면허산업으로, 운수권의 확보에 따라 항공사의 매출 차이가 결정되는 바, 항공운송산업에서의 유효경쟁을 확보는 1차적으로는 정부의 운수권 배분을 통하여 실현되며 양사의 운수권 배분내역에 의하면 선발사업자에 대한 유효경쟁정책이 실현되지 않고 있다고 할 수 있다. 대부분의 노선에서 복수취항이 허용된다고 하더라도 강력한 스케줄, 가격(운임) 경쟁력, 선발항공사의 이점, 고객 선호도의 미반영 등으로 인하여 공정한 경쟁이 이루어지지 않을 가능성이 매우 높다. 이처럼 평균비용이 장기적으로 하락하는 항공산업에서 선발항공사에 대한 쏠림 현상이 가중된다면 향후 10년내에 국내 항공운송산업에 자연 독점이 발생할 가능성은 매우 크며 그 피해는 소비자에게 돌아갈 것이 자명하다. 결국 우리나라의 항공운수산업에서의 유효경쟁환경을 조성하기 위해서는 운수권 배분 절차에서의 비대칭규제의 원리가 상당기간 적용되어야 하며, 복수취항이 허용된 노선에서도 후발사업자가 공정하게 경쟁할 수 있도록 비대칭규제방안이 강구되어야 한다. 뿐만아니라 보충적으로 공정거래법상의 시장지배적 지위의 남용규제와 같은 비대칭규제도 강력하게 집행되어야 할 것으로 판단된다.

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An Empirical Study on the Effects of e-Mail Marketing : A focus on e-Mail Campaign for Credit Card Consumers (이메일 마케팅 성과에 관한 연구: 신용카드 고객을 대상으로 한 캠페인을 중심으로)

  • Shin, Sung-Hoon;Chung, Soo-Yeon;Park, Cheol
    • Information Systems Review
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    • v.11 no.1
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    • pp.49-67
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    • 2009
  • E-mail marketing is the cheapest channel in target marketing. The channel works amazingly well for marketers who know how to use it. The e-mail marketers are able to integrate transactional and behavioral data to improve the targeting content of e-mail marketing campaigns. The cost in e-mail marketing is low and e-mail marketing makes no pollution. But, the e-mail response rate is lower than all the other channels. So, it is very hard for companies to increase their sales volumes, though the companies are ready to execute e-mail marketing campaigns on the side of computer systems. Marketers can send messages easily to target customers compared to other channels. But, the possibility to be read by the customers is low. Normal e-mails are continually devalued by spam mails. This study shows the influence of e-mail marketing to increase sales used by credit cards, on the basis of the real data promoted by A bank, in the Republic of Korea. The analysis on the traits of the respondent can help marketers to target customers. If additional studies on the response prediction model on the basis of traits of potential respondents are done, the targeting method to increase the effectiveness of e-mail marketing will be better structured and organized.