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Sustainable Consumption in the Digital Economy: Second Edition

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: 30 September 2026 | Viewed by 1553

Special Issue Editors


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Guest Editor
Department of Digital Economy Research, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland
Interests: digital marketing; business marketing; social media marketing; digital economy; e-commerce; sustainability; consumer behavior; e-services
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Industrial Informatics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland
Interests: digital business; industry 4.0; industry transformation; production engineering, digital economy; sustainability; managment; steel market; decarbonization
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Digital Economy Research, Faculty of Economics, University of Economics in Katowice, 40-287 Katowice, Poland
Interests: consumer behavior; market research; digital economy; e-commerce
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The modern economy is increasingly characterized by features of a digital economy, in which market participants must not only ensure product quality and sustainable consumption but also prioritize the efficient and sustainable flow of information and resources. Flexibility in responding to market needs and efficient service delivery to customers, contractors, and society at large are essential. Meeting these demands requires the development of appropriate infrastructure and procedures, as well as the cultivation of adequate attitudes and behaviors among market actors. Infrastructure development should incorporate solutions aligned with the principles of sustainable development.

Implementing a balanced economic policy necessitates the involvement of all stakeholders: governments, local authorities, businesses, and consumers. One direction of sustainable development is the digitalization of the economy, which has led, among other outcomes, to the proliferation of services available online. Increasingly important is the assessment of whether digital service offerings are keeping pace with consumer needs and the requirements of a globally sustainable economy.

The objective of this special issue of Sustainability is to identify the factors influencing the acceptance of digitally enabled services, to explore existing constraints, and to evaluate these phenomena from the perspective of sustainable consumption and the sustainable economy. Intensified consumerism is among the primary drivers of environmental degradation and the depletion of natural resources. Consumption has become a major contributor to the Earth's ecological imbalance, with corresponding negative effects on quality of life. The relentless pursuit of material goods, excessive consumption, waste generation, and the drive to maximize profits all undermine sustainability. Achieving a sustainable quality of life through sustainable consumption is influenced, among other factors, by the ecological behaviors of consumers.

According to the United Nations Environment Programme (UNEP), sustainable consumption (SC) refers to the use of products and services in ways that minimize environmental impacts while meeting the needs of current generations without compromising the ability of future generations to meet theirs. SC is embedded in Goal 12: Responsible Consumption and Production of the Global Sustainable Development Agenda.

In this context, the role of artificial intelligence (AI) is of particular importance. AI enables advanced consumer data analysis, personalized service delivery, and the optimization of economic processes in alignment with sustainability goals. It can assist consumers, businesses, and public institutions in making informed decisions by providing intelligent recommendations, monitoring the environmental footprint of products, and promoting responsible consumption models.

This special issue specifically addresses the following research questions:

  1. (RQ1) Do changes in green consumer behavior reflect sustainable consumption and development?
  2. (RQ2) Does the development of digital technologies foster sustainable consumption and development?
  3. (RQ3) Has the digital economy reached a level of maturity in terms of sustainable consumer behavior in sustainable economies?
  4. (RQ4) To what extent can artificial intelligence (AI) tools support sustainable consumption through service personalization, optimization of consumer decision-making, and environmental data analysis?

The editors of this special issue of Sustainability invite scholars and business practitioners from around the world to contribute. The scope of sustainable consumption within the digital economy remains a crucial field of academic inquiry. Submissions may include literature reviews (bibliometric analyses), quantitative studies, and conceptual models related to sustainable consumption in the context of a digital and sustainable economy.

Prof. Dr. Robert Wolny
Prof. Dr. Bożena Gajdzik
Prof. Dr. Magdalena Jaciow
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 250 words) can be sent to the Editorial Office for assessment.

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

  • sustainable consumption
  • digital economy
  • digitalization
  • e-consumer behavior
  • consumer environmental behavior
  • sustainable quality of life
  • e-services
  • artificial intelligence for sustainable consumption
  • smart consumption
  • sustainability

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Published Papers (2 papers)

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Research

17 pages, 432 KB  
Article
AI-Driven Digital Marketing and Responsible Consumption: The Mediating Role of Marketing Intelligence in Advancing SDG 12
by Ephrem Habtemichael Redda
Sustainability 2026, 18(8), 3912; https://doi.org/10.3390/su18083912 - 15 Apr 2026
Viewed by 382
Abstract
Artificial intelligence (AI) is increasingly embedded in digital marketing, enabling organisations to personalise communication, analyse consumer data, and optimise decision-making processes. Despite its widespread adoption, limited empirical research has examined whether AI-driven digital marketing contributes to responsible consumption and production, as articulated in [...] Read more.
Artificial intelligence (AI) is increasingly embedded in digital marketing, enabling organisations to personalise communication, analyse consumer data, and optimise decision-making processes. Despite its widespread adoption, limited empirical research has examined whether AI-driven digital marketing contributes to responsible consumption and production, as articulated in Sustainable Development Goal 12 (SDG 12). Grounded in a capability-based and marketing intelligence framework, this study investigates the mechanisms through which AI-driven digital marketing influences responsible marketing outcomes. Using survey data from 120 professionals in multinational corporations (MNCs) operating in South Africa, the study examines how AI-driven digital marketing influences responsible marketing outcomes aligned with Sustainable Development Goal 12 (SDG 12), with particular emphasis on the mediating roles of predictive consumer analytics and sentiment-based consumer understanding as distinct dimensions of AI-enabled marketing intelligence. Instead, its influence operates indirectly through sentiment-based consumer understanding, while predictive consumer analytics show no significant effect. These results suggest that AI contributes to responsible consumption primarily when it enhances firms’ capacity to interpret consumer values, emotions, and ethical concerns. The study advances the digital marketing and sustainability literature by reframing AI as a relational and sense-making capability while offering practical guidance for aligning AI-driven marketing strategies with SDG 12 in emerging markets. Full article
(This article belongs to the Special Issue Sustainable Consumption in the Digital Economy: Second Edition)
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25 pages, 1454 KB  
Article
Generative AI-Enabled Precision Recommendation for Green Products: Mechanisms of Consumer Cognitive Fluency and Low-Carbon Purchase Decisions
by Kai Si, Cenpeng Wang, Sizheng Wei and Yafei Lan
Sustainability 2026, 18(4), 2018; https://doi.org/10.3390/su18042018 - 16 Feb 2026
Cited by 1 | Viewed by 746
Abstract
To address the information-processing burden faced by consumers in green consumption markets due to complex carbon footprint labels, opaque certification standards, and vague descriptions of environmental benefits, this study proposes a generative artificial intelligence (GenAI)-based precision recommendation mechanism for green products. The mechanism [...] Read more.
To address the information-processing burden faced by consumers in green consumption markets due to complex carbon footprint labels, opaque certification standards, and vague descriptions of environmental benefits, this study proposes a generative artificial intelligence (GenAI)-based precision recommendation mechanism for green products. The mechanism aims to enhance cognitive fluency and promote low-carbon purchase decisions. An experimental system, termed Eco-GenRec, is developed by integrating large language models (LLMs), multimodal generation, and retrieval-augmented generation (RAG) techniques to enable personalized presentation of green product information. Based on inferred user cognitive styles, the system transforms product information into chart-based representations for analytical users or emotionally framed scenario narratives for intuitive users. This study is conducted on a web-based simulated shopping platform and employs a fully randomized design. A total of 1000 participants are randomly assigned to either a standardized information display group (control group) or an Eco-GenRec-generated display group (experimental group). Participants are drawn from diverse socioeconomic backgrounds and cover a wide age range. The sample exhibits substantial demographic diversity, which enhances the representativeness of the findings. Cognitive fluency and low-carbon purchase conversion rates are measured as the primary outcomes. The results show that the Eco-GenRec group achieves a significantly higher cognitive fluency score (M = 5.68, SD = 0.89) than the control group (M = 4.60, SD = 1.01). This represents an increase of 23.4% (t = 18.34, p < 0.001, effect size d = 1.17). In addition, the low-carbon purchase conversion rate in the experimental group (36.3%) is significantly higher than that in the control group (17.6%). The absolute increase of 18.7% is statistically significant (χ2 = 70.28, p < 0.001, effect size Cramér’s V = 0.265). Under conditions of high cognitive-style matching, the conversion rate improvement reaches 27.2%. Mechanism analysis shows that cognitive fluency mediates the relationship between GenAI-based recommendations and purchase intention. By transforming abstract environmental parameters into intuitive and easily interpretable content, artificial intelligence reduces information-processing burden and activates positive affect and trust among consumers. Overall, this study empirically validates the effectiveness of GenAI in green product recommendation. It provides a practical pathway for addressing the “comprehension barrier” in green consumption and extends the theoretical boundaries of research on cognitive fluency and low-carbon decision-making. Full article
(This article belongs to the Special Issue Sustainable Consumption in the Digital Economy: Second Edition)
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