Special Issue "E-commerce and Sustainability"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 15 March 2022.

Special Issue Editors

Dr. Muhammad Fazal Ijaz
E-Mail Website
Guest Editor
Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
Interests: IoT; big data analytics; e-commerce; sustainability; digital health; data science; artificial intelligence; sensors
Special Issues and Collections in MDPI journals
Dr. Abu ul Hassan Sarwar Rana
E-Mail Website
Guest Editor
Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
Interests: advanced manufacturing; machine learning; renewable energy; materials science; electrical machines and robotics; project management; industrial management; sustainability
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

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
Guest Editors

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 papers will be 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 1900 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.


  • sustainability
  • sustainable marketing
  • digital economy
  • supply chain
  • sustainable e-business

Published Papers (1 paper)

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Adoption and Usage of E-Grocery Shopping: A Context-Specific UTAUT2 Model
Sustainability 2021, 13(8), 4144; https://doi.org/10.3390/su13084144 - 08 Apr 2021
Cited by 4 | Viewed by 1025
In order to determine how sustainable online grocery shopping is as a practice, it is crucial to have an in-depth understanding of its drivers. This paper therefore validates the Unified Theory of Acceptance and Use of Technology (UTAUT2) in the context of e-grocery [...] Read more.
In order to determine how sustainable online grocery shopping is as a practice, it is crucial to have an in-depth understanding of its drivers. This paper therefore validates the Unified Theory of Acceptance and Use of Technology (UTAUT2) in the context of e-grocery and enriches it with five constructs. We exploit a self-administered survey among 560 customers of two Belgian supermarkets and test the model by means of hierarchical multiple regression analysis. We do so not only for the full sample, but also for users and non-users separately. For the full sample, four of the five proposed context-specific constructs—namely, perceived risk, perceived time pressure, perceived in-store shopping enjoyment, and innovativeness—help better explain the intention to adopt or continue to use e-grocery services. In the subsamples, only perceived time pressure and innovativeness add explanatory power, and this only for non-users. In other words, the additional constructs primarily help discriminate between users and non-users. In addition, while the extended model outperforms the original UTAUT2 model for all three samples, the added value of the extended model does not so much lie in a higher explained variance, but rather in a more correct identification of the drivers of BI. Full article
(This article belongs to the Special Issue E-commerce and Sustainability)
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