A must-see for EC researchers from around the world! Why not present your research at Japan's only e-commerce conference ?
The Japan E-Commerce Association (General Incorporated Association) is inviting submissions of papers from overseas researchers.
Overview of JASEC (Japan Association of E-Commerce Studies)
The Japan Academy of E-Commerce (JASEC), a general incorporated association, was established on September 13, 2017 and is the only academic organization in Japan specializing in e-commerce (EC). Working together with industry and academia, JASEC shares the results of research on EC with companies and contributes to the healthy growth of the EC market.
The chairman of the board, Shoji Nishimura (Professor at the Faculty of Human Sciences, Waseda University), aims to open up the future of the e-commerce industry by connecting academia, business, and consumers.
In addition, we hold a national research presentation conference (academic conference) every year for researchers and students from all over the world. This initiative aims to promote international human resource exchange and contribute to the further development of Japan's EC market.
What is the National Research Presentation Conference?
The JASEC Japan E-Commerce Society holds a national research presentation conference once a year, with three main sessions: the Academic Session (for researchers such as university professors, associate professors, and graduate students (masters and doctorates)), the Business Session (for e-commerce businesses and e-commerce support businesses), and the Student Session (for mainly high school and university students).
As an academic research achievement
At this conference, the "Student Sessions" are not just practice presentations, but can be recorded as academic research results and research achievements. *The conference date, organization name, name, co-authors (if any), presentation subject, organization, and abstract (proceedings) will be made public.
Details of the program for the 2024 academic conference
The 6th National Research Presentation Conference of the Japan Society of E-Commerce
Report on the 6th National Research Presentation Conference
We are pleased to report that the 6th National Research Presentation Conference for 2024 was successfully held as follows. Thank you very much to everyone who participated.
Main theme: The fusion of innovation and creativity: The future of e-commerce brought about by the metaverse and generative AI
Date of event
November 11, 2024 (Monday) to November 18, 2024 (Monday)
Location
Instead of real-time online presentations, pre-prepared videos will be made available to participants of the 6th conference.
Organizer
Japan E-Commerce Association
About the Encouragement Award
The Japan E-Commerce Association presents an Encouragement Award to students who present their research at the online research presentation held at the Japan E-Commerce Association National Research Presentation Conference every year. The awardees are presented with a certificate by Shoji Nishimura, Chairman of the Japan E-Commerce Association and Professor at the Faculty of Human Sciences, Waseda University.
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Last year, a total of eight people received the award.
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Waseda University: Yuto Nunome Improvement and application of classification models based on point cloud data of observed human movements
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Waseda University: Kengo Miyajima Hierarchical multi-label document classification model for incomplete teacher labels
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Waseda University: Ryuta Matsuoka Clustering model capturing diversity of preferences based on browsing frequency
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Waseda University: Taichi Abe Proposal of a method to extract customers who are effective in new e-commerce users in omni-channel
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Tokai University: Souji Hirayama Baseball player scoring system using comment data
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Tokai University: Reo Yasuzai YouTuber evaluation model with influencer marketing in mind
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Tokai University: YAN HAOTONG The impact of anime broadcast period on anime goods sales
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Tokai University: Riku Okada The effectiveness of a mobile ordering campaign at restaurant chain X
Achievements
Please use this as a reference when considering participation.
Total number of presenters in all six past academic conferences: 97
Part of the reports and sessions presented at previous academic conferences
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Consideration of fraudulent purchases for resale
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Relationship between follow-up emails and coupons
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Frequency analysis of time-varying sales by product
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Analysis of purchasing behavior during the COVID-19 pandemic based on information from bulletin board sites
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Current status and issues of data centers supporting EC
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Research and analysis of the actual state of fraudulent resale
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Consumer behavior model on EC sites considering site browsing time and taste diversity
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Frequency analysis of time-varying product sales
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The true nature of new retail and its impact on distribution in Japan
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A consideration on psychographics and the use of web services - focusing on subscription use and heavy WEB/B users -
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The story of the birth of an apparel brand with annual sales of 130 million yen by a housewife and mother of four children
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A consideration on improving the surprise of recommendation systems using Collaborative Metric Learning
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A consideration on machine learning models to estimate the effects of multiple EC marketing measures
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Image ranking learning method using DNN
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Contextual bandit algorithm using topic distribution
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Using Shapley values based on supermarket POS data A study on a relationship analysis model between products
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Proposal of a method for acquiring recommended items considering the recommendation area in the embedding space
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Proposal of a business policy optimization method considering input-dependent error variance
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Item characteristic analysis considering user interest continuity using HSMM clustering
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A study on the analysis of changes in users' issues to improve the service of a parenting QA app
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A study on a user attribute prediction model based on semi-supervised learning
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Product review analysis model based on BERT feature extraction
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Considerations on the current state and future prospects of single-item EC (Research Note)
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EC Cases in the COVID-19 Pandemic: Supermarket EC and BOPIS in a Town of 25,000 People
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Extracting the Characteristics of Cafe Brands Using Tweet Information
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Factors Behind Customers Who Use Brick-and-mortar Stores Using EC Stores
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Demand Forecasting for Infant Companies on the Rise
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Consideration of Legal Countermeasures Against Fraudulent Purchasers with the Intent to Resell
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New Last-Mile Infrastructure Using Self-Driving Robots: Logistics DX as Seen in ENEOS's Efforts
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D2C Strategy to Communicate the Worldview of Fashion Brands: Case Study of Human Resource Development Using Shopify
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Changes in E-commerce: The Re-emergence and Evolution of the "Metaverse"
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D2C Strategy to Communicate the Worldview of Fashion Brands
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Relationship between Product Reviews and Purchasing Behavior on EC Sites
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2022 Taiwan EC Industry Map (- EC Development and Future Predictions - )
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Research on Sending Customers from Online Stores to Brick-and-mortar Stores
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Consideration of Escrow Services Using 2-of-3 Multisig
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Optimizing the Number of Customers for Online Purchases and In-store Pickup Using Queueing Theory
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Google Relationship between sentiment analysis and evaluation points for store reviews on Google Map
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Demand forecast model for each location of delivery sharing platform operator A
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Impact of COVID-19 on online reservations for izakaya restaurants and future challenges for restaurants
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Research into operational efficiency of in-stadium delivery
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Type classification of store reviews on Google Map
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Access log analysis of E-SPORTS sites
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Analysis of customer purchasing behavior using review data
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Review analysis method using query-oriented summarization model and LDA
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Product image ranking estimation and image map creation using active learning
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A study on analysis of the relationship between customer preferences and image features based on latent class model
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A study on analysis of the relationship between purchasing motivation and response to coupons
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Proposal of a Bayesian optimal selection bias correction method oriented to survey data analysis
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Image classification method by domain embedding using large-scale image language model
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A study on chat commerce system using headless commerce Development and evaluation
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Clustering model capturing diversity of preferences based on browsing frequency
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Proposal of a method to extract customers who are effective for new use of e-commerce in omnichannel
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YouTuber evaluation model with influencer marketing in mind
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The impact of anime broadcast period on anime goods sales
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Campaign effectiveness regarding mobile orders at restaurant chain x
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