• International Journal of Contents
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• 제17권1호
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• pp.1-10
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• 2021

Visual analytics is an emerging research field that combines the strength of electronic data processing and human intuition-based social background knowledge. This study demonstrates useful visual analytics with Tableau in conjunction with semantic network analysis using examples of sentiment flow and strategic communication strategies via Twitter in a blockchain domain. We comparatively investigated the sentiment flow over time and language usage patterns between companies with a good reputation and firms with a poor reputation. In addition, this study explored the relations between reputation and marketing communication strategies. We found that cryptocurrency firms more actively produced information when there was an increased public demand and increased transactions and when the coins' prices were high. Emotional language strategies on social media did not affect cryptocurrencies' reputations. The pattern in semantic representations of keywords was similar between companies with a good reputation and firms with a poor reputation. However, the reputable firms communicated on a wide range of topics and used more culturally focused strategies, and took more advantages of social media marketing by expanding their outreach to other social media networks. The visual big data analytics provides insights into business intelligence that helps informed policies.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.149-160
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• 2022

The article considers the peculiarities of developing a marketing strategy for the adaptation of small businesses to quarantine restrictions in the field of commercial entrepreneurship. The importance of reformatting the existing marketing strategy in connection with the change of key conditions of trade activity with the introduction of quarantine restrictions due to the covid19 virus epidemic is substantiated. Quarantine restrictions and the temporary introduction of lockdown in various countries around the world, including Ukraine, have not only caused a crisis for small businesses. But they became a shock therapy and accelerated the digitalization of retail. Trends in digitalization and development of digital infrastructure allow both to adapt the structures of commercial entrepreneurship to the current conditions, and set directions for development in the long run. Particular attention in the article is paid to changing the business model and automation of sales processes based on the introduction of vending. The preconditions and existing experience of vending in Ukraine are analyzed. An outline of the business model of the project for the sale of goods through vending machines has been developed.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.297-304
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• 2021

In a duopoly situation, one firm can gain competitive advantage by attracting the price-sensitive customers from its competitor leading to higher profits through higher sale revenue for the competing company. A simulation study in which there are two electric car manufacturers with agent based modelling was conducted in order to verify this contention. The first step consisted of defining the baseline. Simulations of 1000 times and agent-based modelling were conducted with the assumption that company 1 reduced its price to the maximum of 20% thereby contributing to the switch-over of a maximum of 40% of the price sensitive customers of company 2. The results of 1000 simulations and agent-based modelling highlighted that price reduction by company 1 resulted in a significant increase in the number of customers, presumably due to switch-over from company 2 and there was a corresponding increase in revenues from both of the sales avenues. Thus, Company 1 achieved competitive advantage by marketing its cars to the customers of Company 2 using price reduction strategy to attract them. This study has ramifications for companies that aim to sway the price sensitive customers from a competitor.

• Asia Marketing Journal
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• 제20권2호
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• pp.65-83
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• 2018

Technological advances are bringing autonomous vehicles to the ever-evolving transportation system. Anticipating adoption of these technologies by users is essential to vehicle manufacturers for making more precise production and marketing strategies. The research investigates regulatory focus and consumer innovativeness with consumers' adoption of autonomous vehicles (AVs) and to consumers' subsequent willingness to pay for AVs. An online questionnaire was fielded to confirm predictions, and regression analysis was conducted to verify the model's validity. The results show that a promotion focus does not have a significantly positive effect on the automation level at which consumers will adopt AVs, but a prevention focus has a significantly positive effect on conditional AV adoption. Consumer innovativeness, consumers' novelty-seeking have a significantly positive relationship with high and full AV adoption, and consumers' independent decision-making has a significantly positive effect on full AV adoption. The higher the level of automation at which a consumer adopts AVs, the higher the willingness to pay for them. Finally, using a neural network and decision tree analyses, we show methods with which to describe three categories for potential adopters of AVs.

• 한국멀티미디어학회논문지
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• 제17권2호
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• pp.218-225
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• 2014

페이스북(Facebook)의 등장 이후 가장 큰 성장세를 나타내고 있는 SNS(Social Network Service)를 통해 마케팅의 효과가 입증되기 시작하고 있으며, 많은 기업들은 페이스북을 통해 마케팅에 다양한 시도를 하고 있다. 본 논문은 페이스북에서 많은 비중을 차지하고 있는 동영상을 활용하여 마케팅 및 시청률을 올리기 위한 방법을 제안한다. 동영상의 재생 버튼을 활용하여 페이스북에 영상의 정보를 등록시키고 내부의 뉴스피드(News Feed)를 통하여 다른 사용자에게 동영상을 실시간 공유하도록 구현한다. 이를 바탕으로 다른 사용자로부터 반응을 이용한 바이럴 마케팅(Viral Marketing)을 통해 마케팅의 효과를 극대화시킬 수 있을 것이다.

• 디지털융복합연구
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• 제10권10호
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• pp.457-463
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• 2012

소셜네트워크게임(SNG)은 말 그대로 사회적인 연결망이나 관계에 기반한 게임이다. 사람들과의 관계가 게임에 있어서 중요한 요소가 되어 이를 잘 활용해야 원활한 진행을 할 수 있다는 점이다. 소셜네트워크 서비스에 바탕을 둔 소셜네트워크 게임의 활동은 실제 기업상품과 연결시켜 구매를 유도할 수도 있고 또 소셜네트워크 게임 상의 가게를 기업의 웹사이트나 쇼핑몰과 연결하여 게임 속에서 광고를 통한 마케팅도 가능하다. 본 연구에서는 개발게임을 사례를 들어 소셜커머스에 기반한 새로운 SNG 비즈니스 모델을 제안하고 차후 SNG 수익모델 연계방식을 제시하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.1287-1292
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• 2005

With opening of KTX, Korea Railway have carried out a variety of marketing strategies unprecedented, which have brought successful results for dramatical increasing passengers in KTX from 72 thousand passengers per day in 2004 to 85 thousand passengers per day in 2005. These marketing strategies for Korea Rail to use in increasing passengers for KTX are the following: special discount fare system for non-season to penetrate into transport market in the first time, fare system reform considering to customers' willing to pay, new item development by each specific market like contracting transport, YMS(Yield Management System) by stages, Home-ticket-and-e-ticket and tele-marketing service, and wide range covering sales network making it comfortable for users in KTX. This paper discusses these successful marketing strategies and its performance and finally suggests strategic implications for KTX growth.

• International Journal of Internet, Broadcasting and Communication
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• 제12권1호
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• pp.14-26
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• 2020

We categorize partnership types between network operators and a global video streaming or over-the-top service provider, Netflix from 2011 to the first quarter 2018. The options are based on the integration of over-the-top (OTT), Netflix with pay TV and telecommunication operators in the form of carrier billing, access to over-the-top (OTT) via devices or the development of their tariff plans. Options of the Type 3, 'cooperation' or the Type 4, 'agreement' entails a kind of the technical involvement between two partners and commercial agreement. The types of partnership are evolving from one to others. Some partnerships have characteristics of more than one type. The majority of technical or service integration cooperation of Type 3 entail bundling and marketing promotion of Type 2 and Type 1. Similarly, the 'agreement' of Type 4, co-branded or white-label service initiative entail tariff or device user interface (UI) integration of the 'cooperation' of Type 3 and joint marketing initiatives of Type 1.

• 한국경영과학회지
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• 제30권4호
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• pp.117-130
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• 2005

It is effective and desirable for a proper customer relationship management or marketing to focus on the specific customers rather than a number of non specific customers. This study forecasts the prospective purchasers with high probability to purchase a specific product. Artificial Neural Network( ANN) can classily the characteristics of the prospective purchasers but ANN has a limitation in comprehending of outputs. ANN is integrated into IRANN with IR of decision tree program C5.0 to comprehend and analyze the outputs of ANN. We compare and analyze the accuracy of ANN, IR, and IRANN each other.

• 지식경영연구
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• 제12권5호
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• pp.1-10
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• 2011

Forming a network, through Social Network Services (SNS), among a group of people who share the same hobby or interests could increase the information sharing among the members at an exponential rate. Moreover, SNS users' behavior extends beyond the traditional introverted consumption behavior to a proactive behavior by owning or actively sharing product information. For firms, such proactive consumer behavior translates into marketing effects such as the word of mouth (WOM) effect. Therefore, SNSs are accepted not only as a communications channel between firms and consumers but also as marketing channel, suggesting the possibility of a new revenue source. In this context, we will explore into the factors of SNS contents which conserve firms' image and product information, and effects of the factors on consumer attitude and WOM.