• Title/Summary/Keyword: Online Sales Strategy

Search Result 72, Processing Time 0.023 seconds

Online Shopping Research Trend Analysis Using BERTopic and LDA

  • Yoon-Hwang, JU;Woo-Ryeong, YANG;Hoe-Chang, YANG
    • The Journal of Economics, Marketing and Management
    • /
    • v.11 no.1
    • /
    • pp.21-30
    • /
    • 2023
  • Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

Linking Findings from Text Analyses to Online Sales Strategies (온라인상의 기업 및 소비자 텍스트 분석과 이를 활용한 온라인 매출 증진 전략)

  • Kim, Jeeyeon;Jo, Wooyong;Choi, Jeonghye;Chung, Yerim
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.41 no.2
    • /
    • pp.81-100
    • /
    • 2016
  • Much effort has been exerted to analyze online texts and understand how empirical results can help improve sales performance. In this research, we aim to extend this stream of research by decomposing online texts based on text sources, namely, companies and consumers. To be specific, we investigate how online texts driven by companies differ from those generated by consumers, and the extent to which both types of online texts have different effects on online sales. We obtained sales data from one of the biggest game publishers and merged them with online texts provided by companies using news articles and those created by consumers in user communities. The empirical analyses yield the following findings. Word visualization and topic analyses show that firms and consumers generate different contexts. Specifically, companies spread word to promote their own events whereas consumers produce online words to share winning strategies. Moreover, online sales are influenced by consumer-generated community topics whereas firm-driven topics in news articles have little to no effect. These findings suggest that companies should focus more on online texts generated by consumers rather than spreading their own words. Moreover, online sales strategies should take advantage of specific topics that have been proven to increase online sales. In particular, these findings give startup companies and small business owners in variety of industries the advantage when they use the online channel for distribution and as a marketing platform.

Sellers' Economic Incentives to Disclose Negative Information in Online Markets

  • HUH, Seung
    • The Journal of Economics, Marketing and Management
    • /
    • v.9 no.2
    • /
    • pp.33-43
    • /
    • 2021
  • Purpose: This study aims to verify sellers' economic incentives for voluntarily disclosing negative information in online markets and provide practical guidelines to online sellers in terms of whether, when, and how sharing low quality to buyers increase sales. Research design, data and methodology: Our model examines the number of bidders in Internet auctions to measure potential demand and uses count data analysis following previous studies that have also analyzed the number of bidders in auctions. After checking over-dispersion and zero-inflation in our data, we have run a Poisson regression to analyze the effect of sharing negative information on sales. Results: This study presents a counterintuitive result that low-quality sellers can increase their demand by fully disclosing negative information in an online market, if appropriate risk-reducing methods are employed. Our finding thus shows that there exists economic incentive for online sellers to voluntarily disclose negative information about their products, and that the context of transactions may affect this incentive structure as the incentive varies across product categories. Conclusions: As the positive impact of disclosing negative information has rarely been studied so far, this paper contributes to the literature by providing a unique empirical analysis on the impact of sellers' honesty on sales. By verifying economic incentives of disclosing low quality with actual online sales data, this study suggests practical implications on information disclosure strategy to many online sellers dealing with negative information.

Research on the Influencing Factors of the Usefulness of the Online Review and Products Sales : Based on Chinese Online Shopping Platform Data (온라인 리뷰 유용성과 상품매출에 영향을 주는 요인 : 중국 온라인 쇼핑 플랫폼 데이터를 기반으로)

  • Hwang, Chim;Kwon, Young-Jin;Lee, Sang-Yong Tom
    • Journal of Information Technology Applications and Management
    • /
    • v.25 no.2
    • /
    • pp.53-72
    • /
    • 2018
  • This empirical study explored characteristics that affect the usefulness of online reviews, in the China e-commerce platform, and implemented multiple regressions to find factors that significantly influence on product sales, ultimately. Till now, prior studies have continuously revealed what factor affects usefulness of online review or product sales, only in respective terms. The point of our study is that we built two-level regression models, thereby being able to comprehensively analyze these two different targets. Before plunging into running regressions, we carefully collected 192,764 online review data for 200 products extracted from the Jingdong, the second biggest e-commerce platform in China. Also, we gathered "review sentimental scores" variable from each review and used that one as a core variable in our regression model, thus we were able to implement both quantitative and qualitative research. The evidences from the two-level regression models showed that the extent to which a product is experience good positively affects both usefulness of a review and product sales, again the usefulness of a review contributes to product sales in sequence. Also, the property of experience good has interaction effect on both for two-level regression models. Our main findings highlight the importance of role of online review to business performance of e-commerce firms.

Internet Marketing Service Expansion Strategy through Focusing on One-Day Products (일일 품목 집중화를 통한 인터넷 마케팅 서비스 확대전략 연구)

  • Shin, Seong-Yoon;Suh, Jin-Hyung;Lee, Hyun-Chang
    • Journal of Digital Convergence
    • /
    • v.10 no.7
    • /
    • pp.85-92
    • /
    • 2012
  • To the development of IT technologies, online shopping is implemented in various forms ranging from desktop environment to smartphone, and also variety of items are being sold. In addition, various type of online sales from that can not seen in offline like sales a one products per one day. In this type of sales, competition is extremely intensified and among those in the differentiated features are hold competitiveness. In this paper, we design and develop the site that adopts the online marketing technique - sale only one kind of product a day for increasing the sales revenue. To do this, in traditional commercial sites, we develop the marketing strategy, and information placement is emphasized site based on analysis of the daily product site planning and so that costumers are concentrated the products that did not interested. Though which customers to target specific items one day for some items and increasing publicity would help the sales increase is expected.

Distributing Goods and Information Flow: Factors Influencing Online Purchasing Behavior of Indonesian Consumers

  • MAIDIANA, Karilla;HIDAYAT, Z.
    • Journal of Distribution Science
    • /
    • v.19 no.7
    • /
    • pp.5-17
    • /
    • 2021
  • Purpose: The distribution of goods and the flow of information, determined by consumer behavior toward online shopping, is drastically popular worldwide. This study examines some factors such as brand trust, online sales promotion, consumer personality, delivery service, quality assurance, information search, and online consumer satisfaction influence online shopping behavior. Research design, data, and methodology: A constructed questionnaire in an online survey was conducted with 241 random cluster respondents in the greater Jakarta Area. Structure equation model was utilized to analyze and verify all the data. Results: Research finding indicates online sales promotion, delivery service, quality assurance, and online consumer satisfaction positively influence information search. Meanwhile, brand trust, quality assurance, and information search positively influence online shopping behavior. However, the result illustrates that consumer personality negatively influences both information search and online shopping behavior. Conclusions: To influence online shopping behavior, the most important factors that need to be considered by marketplaces are quality assurance. It positively motivates Indonesia's citizens to collect information and make unplanned purchases. The study finding can be a reference for brands to maintain and build outstanding product quality, an informational website, and an excellent marketing strategy so that customers can meet their expectations. Besides, it also broadens both companies' and individuals' knowledge about the digital revolution on consumer behavior.

Open Market Sales Trend Analysis System Using Online Shopping Mall Data (온라인 쇼핑몰 데이터를 활용한 판매동향 분석 시스템)

  • Cha, Seung-yeon;Kim, Kang-ryeol;Shrestha, Labina;Kim, Yeong-ju;Choi, Jongmyung
    • Journal of Internet of Things and Convergence
    • /
    • v.5 no.2
    • /
    • pp.7-13
    • /
    • 2019
  • As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.

A Study on Marketing Strategy Cases of the Young Casual Brands in L-Department Store - Focused on 5 Big Brands -

  • Yu Ji-Hun
    • The International Journal of Costume Culture
    • /
    • v.7 no.2
    • /
    • pp.123-134
    • /
    • 2004
  • This study tried to suggest the effective future marketing strategies by analysing marketing strategies of five brands which were selected by sales amount and the growth rate among young casual brands in the L-Department store from 2001 to 2002. According to analysis, brand marketing could summarize to five marketing strategies such as culture marketing, emotion marketing, co-marketing, on-line marketing, and propose marketing. Culture marketing includes 'BB family marketing, star marketing, core marketing, experience marketing. One of the emotion marketing is 'Kidult marketing' which affects cute concept. Co-marketing includes 'Charisma marketing' that cooperates with distribute industry, 'Movata marketing' which cooperates with mobile communication industry, and 'Game marketing' which cooperates with game industry. There are some other marketing strategies such as consumer calling marketing, A.S.A. marketing which is for buyers, QR marketing for quick response, Web site's differentiate marketing and Logo marketing. The suggested marketing strategies for on-coming brands are 'distinguished strategy of the online contents', 'consumer calling strategy' and 'loyalty maximizing strategy'.

  • PDF

Advantage of Online Platform of the Real Estate and Its Marketing Strategy

  • Samha, HA;Jaewoong, WON
    • The Journal of Industrial Distribution & Business
    • /
    • v.14 no.3
    • /
    • pp.1-8
    • /
    • 2023
  • Purpose: One of the eldest businesses in the realm is the real estate market and it has been dominated by offline sales and marketing tactics for decades. However, the home-buying process today is made simpler and more effective for purchasers thanks to internet platforms. This study is to investigate in terms of advantage of online platform of the real estate and its marketing strategy. Research design, data and methodology: For checking and collecting proper literature resources, content literature investigation used and it would be fitted for this research based on numerous prior studies in the realm of marketing strategies and online platforms of real state. Results: Online real estate platforms provides the availability of a broad range of properties for buyers and sellers, and connects buyers and sellers with nearby real estate mediators and agents. Finally, we figured out that utilizing real estate agents might have a huge positive impact on real estate agents. Conclusions: As online platforms become increasingly popular for real estate professionals, practitioners must be aware of the changes in technology and the resulting implications for how they market and sell property. Future research should explore the effect of online platforms on customer satisfaction and the overall accomplishment of real estate businesses.

A Study on Encouragement Strategy of Electronic Commerce planned Event to Young Class of People (젊은 계층을 대상으로 이벤트 기획을 통한 인터넷 거래 활성화 전략)

  • Park, Seong-Jin;Lee, Hyun-Chang;Shin, Seong-Yoon
    • Journal of the Korea Society of Computer and Information
    • /
    • v.16 no.11
    • /
    • pp.77-83
    • /
    • 2011
  • With the development of online shopping and the rapid growth of IT technology, among various forms of online shopping the intense competition also more deepen. So in online shopping and offline shopping can get differentiation characteristics of competitiveness, so our marketing target is the couples and planning to couples' activity is necessary. In this research, it is planning and implement an web site to design and implement sales strategies for the young people. For this, we analysis based on the existing commercial site's event planning of couples, design and suggest strategy for increasing sales, construct a web site with couples' birthday marketing strategy and various commemorative activities and customer visit web sites with activities more prominent as the goal, and with marketing planning and information configuration as the centre. This is expected to be through to increase effect of the part of the object by customer group activities to improve sales.