• Title/Summary/Keyword: Marketing Network

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Relations between Reputation and Social Media Marketing Communication in Cryptocurrency Markets: Visual Analytics using Tableau

  • Park, Sejung;Park, Han Woo
    • International Journal of Contents
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    • v.17 no.1
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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.

Marketing Strategy of the Small Business Adaptation to Quarantine Limitations in the Sphere of Trade Entrepreneurship

  • Ivanova, Nataliia;Popelo, Olha;Avhustyn, Ruslan;Rusak, Olena;Proshchalykina, Alina
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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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.

Marketing to Competitors' Customers using Agent based Modelling and Simulation Driven Strategy

  • Beyari, Hasan
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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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.

Using Predictive Analytics to Profile Potential Adopters of Autonomous Vehicles

  • Lee, Eun-Ju;Zafarzon, Nordirov;Zhang, Jing
    • Asia Marketing Journal
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    • v.20 no.2
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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.

SNS Marketing System by Using Video Play Button (동영상 재생버튼을 활용한 SNS 마케팅 시스템)

  • Kim, Seong-Kwon;Lee, Gwang-O;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.17 no.2
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    • pp.218-225
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    • 2014
  • The marketing which uses SNS, which has the most biggest growth since appearance of Facebook, is proved to be effective, then many companies make variable attempts of marketing by using Facebook. This paper presents the method of marketing using videos, that has a major part in Facebook, and the method to raise their ratings. By using the video play button it registers information of the videos in Facebook then shares them to other people in real-time through inner News Feed. Therefore, we can maximize effect of marketing through viral marketing to use other users responses.

Study on SNG Business Model based on Social Commerce - In the Case of Developing Games(Tour City) (소셜커머스에 기반한 SNG 비즈니스 모델에 관한 연구 -개발게임(Tour City)사례를 중심으로)

  • Kim, Tae-Gyu;Ryu, Seuc-Ho;Lee, Wan-Bok;Lee, Dong-Lyeor;Kyung, Byung-Pyo
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.457-463
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    • 2012
  • Social network game (SNG) literally is a game based on the relationship between social network or Relationships with people is an important element in the game you need to make full use of them is that you can smooth progress. The form of a social network game activities in the social network game applications by linking corporate products and can be induced to purchase marketing and advertising through in-game social network game on the company's Web site or by connecting the mall and shop are also available. In this study, SNG business models, Case For game development, social commerce based on the new proposed future revenue model linking scheme is proposed.

A study on Marketing Strategy and Performance of KTX (KTX의 마케팅 전략과 성과에 관한 연구)

  • Kim Chun-Hwan
    • Proceedings of the KSR Conference
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    • 2005.11a
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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.

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A Case Study on Partnership Types between Network Operators & Netflix: Based on Corporate Investment Model

  • Minzheong, Song
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.1
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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.

Artificial Neural Network, Induction Rules, and IRANN to Forecast Purchasers for a Specific Product (제품별 구매고객 예측을 위한 인공신경망, 귀납규칙 및 IRANN모형)

  • Jung Su-Mi;Lee Gun-Ho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.4
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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.

The influence of SNS content quality on users' adoption behavior and WOM (SNS상의 콘텐츠품질이 사용자의 수용태도와 구전활동에 미치는 영향)

  • Lee, Jiwon;Kang, Inwon;Jung, Sungwoon
    • Knowledge Management Research
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    • v.12 no.5
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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.

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