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Sustainability
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Sustainability in Retailing: The Use of Big Data
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Sustainability in Retailing: The Use of Big Data

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 3577

Special Issue Editors

Dr. Eloy Gil-Cordero

E-Mail Website
Guest Editor
Department of Business Administration and Marketing, University of Seville, 41004 Sevilla, Spain
Interests: distribution channels; digital marketing; retailing
Special Issues, Collections and Topics in MDPI journals
Dr. Juan Pedro Cabrera-Sánchez

E-Mail Website
Guest Editor
Department of business administration and marketing, University of Seville, 41004 Sevilla, Spain
Interests: Big data; retailing

Special Issue Information

Dear Colleagues, 

Today, many products consumed around the world are not sustainable. Most of these products come from retailing, and a review of the literature finds various ways to be more sustainable. However, it is essential to promote sustainability at all stages, from resources extraction to the final product, and so it is necessary to proceed to the study of retailing as the main basis for promoting sustainability. As a starting point, we encourage publications that focus on methodologies that manage a large amount of data, such as artificial neural networks and the intensive use of big data. 

Dr. Eloy Gil-Cordero
Dr. Juan Pedro Cabrera-Sánchez
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 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 2400 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.

Keywords

  • Big data
  • Retailing
  • Sustainability

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Published Papers (1 paper)

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Research

12 pages, 770 KiB  
Article
Consumer Sentiment Involvement in Big Data Analytics and Its Impact on Product Design Innovation
by Chang Liu and Yueli Xu
Sustainability 2021, 13(21), 11821; https://doi.org/10.3390/su132111821 - 26 Oct 2021
Cited by 3 | Viewed by 2901
Abstract
With the development of Internet technology and the digital market in China, consumption through e-commerce platforms and giving online reviews after purchase have become mainstream. However, current market research still uses traditional methods of surveys and questionnaires, which largely influences the efficiency of [...] Read more.
With the development of Internet technology and the digital market in China, consumption through e-commerce platforms and giving online reviews after purchase have become mainstream. However, current market research still uses traditional methods of surveys and questionnaires, which largely influences the efficiency of relevant enterprises in finding key product issues and lowers new product performance. This paper conducts the aspect-based sentiment analysis (ABSA) method to study the impact of consumer sentiment involvement (CSI) on new product performance. We took the ceramic industry as a case study, and collected 3.22 million consumer responses for ABSA. A total of 22 performances of new products were analyzed for CSI hypothesis testing. We found that CSI big data analytics were positively related to new product performance and enterprise innovation. Our study contributes in three ways. First, we extend the concept of co-creation in open innovation studies into an intelligent data intensive context. The data-driven open innovation is conducive to product design and new product performance. Second, we enrich the empirical industry of ABSA sentiment analysis in the Chinese ceramic industry. Third, we contribute to the collaboration method to motivate consumers to participate, which means to make effective product reviews in this research. Full article
(This article belongs to the Special Issue Sustainability in Retailing: The Use of Big Data)
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