Special Issue "E-commerce and Sustainability"
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (15 March 2022) | Viewed by 8844
Interests: IoT; big data analytics; e-commerce; sustainability; digital health; data science; artificial intelligence; sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Deep Learning and Big Data for Healthcare and Industry (Industry 5.0)
Special Issue in Cancers: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
Special Issue in Diagnostics: Recent Trends in Molecular Image-Guided Theranostic and Personalized Medicine
Special Issue in Sustainability: E-commerce and Sustainability (Second Volume)
Interests: advanced manufacturing; machine learning; renewable energy; materials science; electrical machines and robotics; project management; industrial management; sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Optical and Electrochemical Sensors for Biomedical and Environmental Applications
Special Issue in Coatings: Micro- and Nanoscale Coatings for Biomedical and Environmental Applications
In recent years, the development of e-commerce has gradually increased throughout the world. Analysis has shown that the e-commerce platform is more convenient and has more product selection choices. However, this e-commerce advancement does not mean that all e-commerce companies are making profits. There are many challenges to e-commerce, such as the absence of online identify verification, delivering worse customer experience, failing to analyze competitors, being stuck in the old ways of selling products, shopping cart abandonment, difficulties in customer loyalty management, struggles to compete on price and shipping, and data security problems. These problems occur due to the lack of business, product, and service information. To solve the above challenges, artificial intelligence (AI) and big data techniques are utilized to maximize e-commerce.
Big data consists of the variety and volume of data, including business process details, product information, customer interest, and request-related details. The data are collected according to user surveys, competitor choices, sales criteria, and reviews, which help identify customers' exact requirements. The collected details are processed by applying AI techniques to overcome the e-commerce above challenges. AI techniques can effectively predict future market trends, purchasing criteria, and competitor opinions. Moreover, big data and AI techniques analyze the e-commerce data using an effective learning process affordably and flexibly. Recent advancements of AI have been transforming the electronic e-commerce industry. By using AI capabilities such as self-learning algorithms and natural language processing (NLP), they are enhancing the impact of AI in e-commerce. Furthermore, AI personalization in e-commerce marketing can also enable e-commerce firms to analyze customers' behavior and make precise recommendations.
Therefore, many researchers are interested in investigating e-commerce data to provide guidelines for improving the overall business process. Consequently, this Special Issue focuses on big-data and AI-based e-commerce that will offer an effective platform to develop a better solution for new e-commerce consumers.
The topics of interest for the Special Issue include, but are not limited to, the following:
- Artificial intelligence in e-commerce and supply chains;
- AI-based financial technology
- AI for risk control and management in e-commerce
- Localization based service in e-commerce
- Cross-cultural issues in e-commerce
- Big data analytics for prediction and applications in e-commerce
- Application of Blockchain technology in e-commerce
- Logistic management process in e-commerce using optimized machine learning techniques
- Novel business models and automations in the digital economy;
- Social impact and interactions in digital economy;
- Environmental impact and interactions in digital economy;
- Smart logistics and Sustainable supply chain;
- Modeling and simulation of business processes;
- Sustainable e-business;
- Sustainable business practices;
- Sustainable e-business model;
- E-business modeling;
- Green marketing;
- Sustainable strategy;
- Incorporating business ethics into strategy;
- Sustainable business awards;
- The social dimension of sustainability in retail marketing;
- Sustainability communication in retail marketing;
- In-store and web communication for sustainability.
Dr. Muhammad Fazal Ijaz
Dr. Abu Rana
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- sustainable marketing
- digital economy
- supply chain
- sustainable e-business