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E-commerce customer service satisfaction survey and intelligent customer service development suggestion research

Xiaochen Xiao
2022 Journal of Education, Humanities and Social Sciences  
status of e-commerce intelligent customer service, and then through the analysis of the use of e-commerce platform intelligent customer service and influencing factors, for the development of e-commerce  ...  In recent years, with the rapid development of e-commerce technology, the scale and number of e-commerce platforms with online retail business as the core are increasing day by day.In the service system  ...  of customer service platform, so as to provide suggestions and methods for the improvement of intelligent customer service in the era of e-commerce 5.0 [10] .  ... 
doi:10.54097/ehss.v2i.837 fatcat:adshjhl3u5hopiisx67iepouf4

A social recommender mechanism for location-based group commerce

Yung-Ming Li, Chia-Ling Chou, Lien-Fa Lin
2014 Information Sciences  
In this research, considering user preference, geographic convenience, and friends' influence, a group-coupon recommender system is proposed for promoting location-sensitive products.  ...  As a result, traditional group-buying e-commerce is not particularly promising. Moreover, there is a need for some local shops to increase publicity to enhance their business.  ...  The traders publish products on online e-commerce platforms, such as auction websites, to attract customers to purchase.  ... 
doi:10.1016/j.ins.2014.02.079 fatcat:ad2rlsgkcjgcreldgh2qrpkv2u

Electronic Commerce Product Recommendation using Enhanced Conjoint Analysis

Andrew Brian Osmond, Fadhil Hidayat, Suhono Harso Supangkat
2021 International Journal of Advanced Computer Science and Applications  
Alibaba was founded in 1999 as an online e-commerce available to customers in an online shop, and better product platform.  ...  With so many products in e- for dynamic pricing using a customer-centric strategy, based on commerce, there is a problem finding the optimal product the notion that systems track  ... 
doi:10.14569/ijacsa.2021.0121176 fatcat:rexeqv4ydfg6hbyukemlgirlym

Analysis on Pinduoduo Business Model and Future Development Strategy based on Sinking Market

Nie Cheng, Xinyu Huang, Jing Qian
2021 BCP Business & Management  
price-sensitive users.  ...  This paper analyses Pinduoduo's success and make suggestions to help it further improve its business model for the long term and provide a reference experience of similar e-commerce companies by using  ...  For e-commerce platform companies, customer switching costs depend on two main elements: price & fungibility.  ... 
doi:10.54691/bcpbm.v16i.312 fatcat:mpnbdfwqmrh6tg2stuie5233wq

Understanding the Role of Intermediaries in Online Social E-commerce

Zhilong Chen, Hancheng Cao, Fengli Xu, Mengjie Cheng, Tao Wang, Yong Li
2020 Proceedings of the ACM on Human-Computer Interaction  
To the best of our knowledge, this paper presents the first large-scale analysis on the emerging role of intermediaries in social e-commerce platforms, which provides potential insights for the design  ...  Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world social relationships for promotions and sales of products.  ...  In traditional e-commerce, only after entering the e-commerce platforms can users be exposed to recommendations.  ... 
doi:10.1145/3415185 fatcat:s57p36q6pndc3d3qs6vvqmamna

Maximizing E-Tailers' Sales Volume through the Shipping-Fee Discount and Product Recommendation System

Yan Guo, Xiaonan Hu, Yu Zou, Shouwei Li, Wenchuan Cheng, Zhiyong Li
2020 Discrete Dynamics in Nature and Society  
E-tailers can impact customers' order incidence and cart size by offering an attractive shipping fee; they can also influence customers to purchase other products using a recommendation system.  ...  Furthermore, sensitivity analysis validates the stability of the proposed model in the face of an uncertain environment.  ...  Discrete Dynamics in Nature and Society B2C e-commerce platform.  ... 
doi:10.1155/2020/7349162 fatcat:qy5smbtihjdvji67hrstabj7gi

Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic

Olha Fedirko, Tetiana Zatonatska, Tomasz Wolowiec, Stanislaw Skowron
It was defined that the most beneficial data science solutions are demand forecasting, estimation of the marketing contribution, customers clustering, recommendation system and customers' attitude analysis  ...  is to generalize existing approaches of data science usage in e-commerce, to develop practical recommendations to ensure the competitive advantages of e-commerce market participants and to estimate the  ...  It is also important for the e-commerce system to monitor continuously competitors' prices on the same products and services.  ... 
doi:10.35808/ersj/2187 fatcat:5a2bmiigdncwnlkfq5rezmxkmu

E-commerce Precision Marketing Based on the Advantages of Big Data Technology

Lei Li, Zheng Mao, Yuemei Ren
2021 Forest Chemicals Review  
The experimental results show that the method proposed in this paper can unify and integrate multiple sets of user data of different systems by opening up the data islands of various systems within the  ...  This method can carry out precision marketing activities for users through data modeling.  ...  On the enterprise e-commerce platform, users are generally accurately recommended through the recommendation of related goods.  ... 
doi:10.17762/ fatcat:jsvzbicfmrdstnm2pp3ikoxf44

E-Commerce Trends and Future Analytics Tools

Premkumar Balaraman, Sabarinathan Chandrasekar
2016 Indian Journal of Science and Technology  
The study is qualitative and descriptive in nature and most of the data is based on secondary sources of survey data. Such an approach is adopted in the study as the area of  ...  Social commerce differs from e-commerce in many aspects 12 , including business models, value creation, customer communication and connection, system interaction, design, and platforms as summarized  ...  Mobile Analytics The m-commerce (Mobile commerce) platforms goes hand in hand complementing and competing with e-commerce platforms.  ... 
doi:10.17485/ijst/2016/v9i32/98653 fatcat:vgnkx3vckng4dis35rzycoypiy

e-Commerce Personalized Recommendation Based on Machine Learning Technology

Liping Liu, Chia-Huei Wu
2022 Mobile Information Systems  
of the e-commerce recommendation system according to the current development status of the e-commerce recommendation system.  ...  Through the model to test the eight hypotheses proposed in this paper, the results show that customer income level, customer online shopping experience, commodity prices, product quality, recommendation  ...  ' purchase decision in mobile commerce environment, No. 19G097) and School Level Scientific Research Innovation Team of Wuhan College in 2020 (new media product operation innovation team, No. kyt202001  ... 
doi:10.1155/2022/1761579 fatcat:j2xrhoorcnbsdov64zaximngze

Understanding Consumer Buying Intention of E-Commerce Airfares Based on Multivariate Demographic Segmentation: A Multigroup Structural Equation Modeling Approach

Phaninee Naruetharadhol, Sasichakorn Wongsaichia, Shenying Zhang, Chanchai Phonthanukitithaworn, Chavis Ketkaew
2022 Sustainability  
It is recommended that airline companies and online travel agencies should consider perceived ease of use, price sensitivity, and hedonic motivation when implementing e-commerce airline websites for selling  ...  The empirical results revealed that price sensitivity and perceived ease of use substantially impacted behavioral intention to use e-commerce airfares in both segments.  ...  Acknowledgments: We would like to thank the International College and the Center for Sustainable Innovation and Society, Khon Kaen University, Thailand, for providing research facilities.  ... 
doi:10.3390/su14158997 fatcat:lzj4n27c3bd37dsza6iyxb3rbm

Products Recommendation for Mobile Devices

Ruyther Parente da Costa, Caíque de Paula Pereira, Edna Dias Canedo
2017 Journal of Information Systems Engineering & Management  
The mobile application market and e-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems.  ...  Therefore, this work aims to customize a gift recommendation algorithm in the context of mobile devices using as main input the user preferences for the gifts recommendation in the Giftr application.  ...  of an e-commerce system in which COREL operates.  ... 
doi:10.20897/jisem.201716 fatcat:gtuytaodsjes7ow7nvhyviyvee

Regulating Crossing Border E-commerce by SC

Hao Song
2018 Sociology Study  
This new kind of e-commerce has several advantages, like high trust between seller and customer and personalized consumption for customers.  ...  In the area of Customs Law, it should refine the standard of luggage and post package taxation. The Custom should strengthen supervision for international post package.  ...  In the B2C platform, it is hard for customers to get the real identify of sellers.  ... 
doi:10.17265/2159-5526/2018.05.005 fatcat:eywl4ng3h5fsplyn7bd3t7wuma

An E-commerce Control Unit for Addressing Online Transactions in Developing Countries: Saudi Arabia - Case Study

Omar Saeed Al Mushayt, Wajeb Gharibi, Nasrullah Armi
2022 IEEE Access  
While there are several online-shopping platforms in Saudi Arabia, they are still facing critical obstacles that challenge customers, businessmen, and organizations.  ...  In this paper, we present a smart control unit that could help addressing current challenges that face e-commerce and suggesting contemporary governmental legislation dedicated at governing and simplifying  ...  e-commerce platform for Saudi customers and small medium enterprises.  ... 
doi:10.1109/access.2022.3180329 fatcat:frhvkyoylzat7o5pfoygg6tugm

Mobile Gift Recommendation Algorithm

Caíque de Paula Pereira, Ruyther Parente da Costa, Edna Dias Canedo
2017 Proceedings of the 19th International Conference on Enterprise Information Systems  
The mobile application market and e-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems.  ...  Therefore, this work aims to customize a gift recommendation algorithm in the context of mobile devices using as main input the user preferences for the gifts recommendation in the Giftr application.  ...  The article Predicting Customer Purchase Behavior in the E-Commerce Context is an example of a study that proposes an improvement of recommendation systems using techniques that aim to predict the behavior  ... 
doi:10.5220/0006330405650573 dblp:conf/iceis/PereiraCC17 fatcat:ckfmaqalzfeb3a3gomho5o3yhm
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