• Title/Summary/Keyword: Digital Retail

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Introduction of the Internet-only Bank and Development direction Proposal (국내 인터넷 전문은행의 도입과 발전 방향 제안)

  • Choi, Jeong-Il
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.139-147
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    • 2016
  • Korea is ahead of the launch of internet banking professional following to America, Europe and Japan. Internet banking is a professional non-store bank to conduct business such as deposits and loans on the internet and call centers. It is operating in a low-cost structure and minimizes the loans and deposits, various fees than traditional banks and obtains a profit. In order to be successful internet banking professional to develop a differentiated work with the existing banks should be competitive. In this paper, we explore and analyze the cases of Japan and the United States to present the future direction of domestic Internet banking professional future. Also it is expected to enable faster and more convenient one-stop financial services. Internet specialized bank is expected to continue to develop further by the inevitable competition with conventional banks as developing differentiated financial services. Deregulation of banks and industries and participation of various companies of security, insurance, telecommunications, and retail are expected to lead to the convergence among industries and development of new financial services.

Effect of New Cigarette Advertising Method on the Recognition of Warning Pictures (신제품 담배 광고 방식이 경고그림 인식에 미치는 영향)

  • Kim, Saehoon;Lee, Hwansoo
    • Journal of Digital Convergence
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    • v.16 no.10
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    • pp.281-288
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    • 2018
  • Cigarette warning pictures are one of the most effective smoking cessation policies, and this is an effective way to promote smoking cessation by conveying the risk of smoking through pictures. However, the recent advertisement of new cigarettes in retail stores has potentially increased tobacco purchase intention by weakening the effect of the warning picture. Therefore, this study examined the problems of the new cigarette advertisement method by analyzing the effect of this method on cigarette warning pictures. For this purpose, 275 men and women were surveyed nationwide, and this study compared the cognitive and emotional effects, and purchase intentions of the new cigarette advertisements with existing advertisement methods through MANCOVA. The results show that the new cigarette advertising method affects the emotions, cognitions, and purchase intentions related to the cigarette warning pictures and have adverse effects on the original purpose of the cigarette warning pictures. This implies that regulatory standards and institutional arrangements are necessary for effective new cigarette advertising.

The Effect of Status, Truth of Messages, Involvement on Loyalty When Customer Experience Demotion in Retail Loyalty Program (소매점의 로열티 프로그램에서 고객의 등급하락 시 고객의 등급, 메시지의 진실성, 관여도가 충성도에 미치는 영향)

  • Shin, Jong-Kuk;Park, Min-Sook
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.89-94
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    • 2014
  • It empirically studied the effects of customer status, truth of messages, and involvement on loyalty when customer experience demotion in loyalty program. A scenario based 2(customer demotion: highest status customer/middle status customer) ${\times}$ 2(truth of messages: high/low) ${\times}$ 2(involvement: high/low) between-subjects factorial design experiments are conducted for the hypotheses. According to the result of ANCOVA, highest status customer's loyalty and middle status customer's loyalty decrease when they experience demotion. But middle status customer's loyalty less decreases than the highest status customer. Loyalty of the group who feel high truth of message less decreases than those of other groups. And loyalty of the low-involvement group's loyalty less decreases than those of other groups. Moreover it test three way interactions among customer status, truth of messages, and involvement. The result indicates that loyalty of the group who feel high truth of message and low-involvement less decreases than those of other groups.

Analysis of regional variation in the lifetime physician diagnosis rate of atopic dermatitis (아토피피부염 평생의사진단율의 지역별 변이 분석)

  • Ko, Keum-Bok;Hwang, Ji-Young;Park, Il-Su
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.403-412
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    • 2019
  • The purpose of this study is to analyze temporal and spatial variations of atopic dermatitis and to identify major factors. Data utilized in the study were collected by the Community Health Survey, KOSIS and so and on from 2009 to 2013. This study was analyzed using descriptive statistics and Geographically weighted regression model. As a result, regional diagnosis rate of atopic dermatitis was increased by 5 years, and difference related to geographic location was so large. The regional characteristics that contribute to the diagnosis of atopic dermatitis were as follows: older adults population ratio, ratio of basic living security received people, depression experience rate, high risk drinking rate, number of wastewater discharge business, number of tobacco retail business, number of fast food restaurant business. This study is meaningful in that it provided basic data on health policy direction and provided information on prioritization of health business in each region.

A Study on the Effects of Online Word-of-Mouth on Game Consumers Based on Sentimental Analysis (감성분석 기반의 게임 소비자 온라인 구전효과 연구)

  • Jung, Keun-Woong;Kim, Jong Uk
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.145-156
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    • 2018
  • Unlike the past, when distributors distributed games through retail stores, they are now selling digital content, which is based on online distribution channels. This study analyzes the effects of eWOM (electronic Word of Mouth) on sales volume of game sold on Steam, an online digital content distribution channel. Recently, data mining techniques based on Big Data have been studied. In this study, emotion index of eWOM is derived by emotional analysis which is a text mining technique that can analyze the emotion of each review among factors of eWOM. Emotional analysis utilizes Naive Bayes and SVM classifier and calculates the emotion index through the SVM classifier with high accuracy. Regression analysis is performed on the dependent variable, sales variation, using the emotion index, the number of reviews of each game, the size of eWOM, and the user score of each game, which is a rating of eWOM. Regression analysis revealed that the size of the independent variable eWOM and the emotion index of the eWOM were influential on the dependent variable, sales variation. This study suggests the factors of eWOM that affect the sales volume when Korean game companies enter overseas markets based on steam.

A Study on Food Shopping User Experience Design of Omni-channel (옴니채널에서 식품쇼핑의 사용자 경험 디자인 연구)

  • Kim, Ji-Hea;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.403-409
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    • 2016
  • This study is a food shopping experience of omni-channel. Food threats and healthy living concerns bring different channels in led to increase reasonable way such as various demand. Omni-channels should be premised on understanding customer behavior as well as empirical user types in which considerations including the value of experience and understanding consumer behavior. Online survey result showed that, (1)offline food shopping, major retail store with quality, buy fresh food directly 2~3 times a month (2)online food shopping, e-commerce site with costs, buy fruits & nuts 2~3 times a month. After in-depth interview with eight high quality participants, I analyzed needs for food shopping experience in regard to the four steps food purchasing journey then derived a persona with integral value 'health' and 'diet'. It is classified into two types. One is the primary persona, family and health oriented, considering household money 'saving', and other is secondary persona, work and personal oriented, looking forward to 'automatic supply'. The result of this study provided an insight that help us explore ways to resolve function and services in the context of a healthy and balanced diet for improving food shopping experience of omni-channel.

Balanced Scorecard using System Dynamics for Evaluating IT Investment (IT 투자 평가를 위한 시스템 다이나믹스를 활용한 밸런스스코어카드)

  • Baek, Sung-Won;Ju, Jung-Eun;Koo, Sang-Hoe
    • Journal of Intelligence and Information Systems
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    • v.14 no.1
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    • pp.19-34
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    • 2008
  • IT investment is usually very costly and takes a long time to get the results out of investment. However, most of currently available evaluation methods for IT investment are based upon short-term effects, hence their results are not fully trustworthy. In addition, those methods commonly consider only financial aspects such as ROI. For more reliable evaluation, it is necessary to consider non-financial factors such as system utilization, customer satisfaction, public relations, and so on, as well as financial factors. In this research, we propose an evaluation method that can evaluate both financial and non-financial aspects on a long-term base. For this purpose, we employed the research results developed in System dynamics and Balanced scorecard. System dynamics is useful in analyzing long term behavior of a given system, and Balanced scorecard is useful for evaluating both financial and non-financial aspects. We demonstrated the usefulness of our method by applying it to the evaluation of RFID (Radio Frequency Identification) investment in a distribution and retail industry. From this application, we found that RFID investment may not be rewarding in the short term, but is sure to be returning the income relative to its investment in the long run.

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Big data analysis on NAVER Smart Store and Proposal for Sustainable Growth Plan for Small Business Online Shopping Mall (네이버 스마트스토어에 대한 빅데이터 분석 및 소상공인 온라인쇼핑몰 지속성장 방안 제안)

  • Hyeon-Moon Chang;Seon-Ju Kim;Chae-Woon Kim;Ji-Il Seo;Kyung-Ho Lee
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.153-172
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    • 2022
  • Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

Teens and College Students' Purchasing Decision Factors of Denim Jeans In the United States

  • Hwang Shin, Su-Jeong;Fowler, Deborah;Lee, Jinhee
    • Fashion & Textile Research Journal
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    • v.15 no.6
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    • pp.971-976
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    • 2013
  • This study provides insight into current social media influences and purchasing power of the young generation in that the size of both of these demographic groups will impact the apparel companies and retail market for the predictable future Denim apparel companies are aware of the discretionary spending power of the Y and Z Generations. The characteristics of current teens are so similar to college-age individuals in that they have grown up with digital technology and they prefer to communicate via social networking sites. Retailers have utilized these social media platforms in order to capture the attention of the generations. Traditionally marketing campaigns have differentiated between teens and the college-age population. However, the teens actually have larger spending power and more discretionary income. A survey consisted of 32 questions pertaining to Internet media influences, influence of people, and decision factors on decisionmaking related to purchasing selection. A random sampling of 163 females responded to a set of questionnaires. Teens, like college students desire to make their own decisions when they select and purchase denim jeans. Overall 40% of them wanted to make their own decisions when purchasing their jeans, however, a significant number are influenced by their friend's opinions (34%) and the opinions of family members (15%). However, celebrities (10%) had the least influence on their decisions. Teens, like colleges students make decisions based on the same decision factors: fit (63%), cost (23%), brand (10%) and color (2%). The most important factor in determining preference was "fit".

A Study on the Consumers' Perceptions and Behavioral Characteristics toward Fashion Products in Omni-channel Retailing (옴니채널 리테일링에서 패션 제품 소비자의 인식 및 행동 특성 탐구)

  • Kim, Yunjeong;Lee, Yuri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.1
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    • pp.170-183
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    • 2017
  • The rapid growth of digital consumption has significantly changed the shopping behavior of consumers. The consumption paradigm is changing; subsequently, an omni-channel has been introduced that empowers consumers to interact with firms through a myriad of touch points in multiple channels. This study is to understand the perceptions and behavioral characteristics of consumers in the purchase process (e.g., information search and purchase phase). A qualitative method was adopted for this study and data were collected through semi-structured in-depth interviews with 15 omni-channel consumers. The results of this study were as follows. At the information search stage, consistency was the most important consideration for consumers who also wanted to retain channel-specific benefits. Consumers also searched for differentiated information among distribution channels. At the purchase stage, participants choose a shopping channel according to shopping values. They utilized newly introduced services (e.g., "online purchase, offline pick-up", FinTech) that combine retail channels. Our findings provide significance in managing omni-channel services. First, it is recommended that fashion retailers provide seamlessly integrated experience to consumer and adopt a consumer-centered channel choice strategy. Second, fashion retailers must maintain a constant attitude toward shopping experience to fashion, such as shopping enjoyment and exclusiveness.