Multi-variant e-commerce user interfaces for business sustainability

Adam Wasilewski () and Anna Zgrzywa-Ziemak ()

Operations Research and Decisions, 2024, vol. 34, issue 4, 211-229

Abstract: Consumers and their consumption-patterns play an important role in efforts to make businesses and industries more sustainable. Although, theoretical basis for business to engage customers in more sustainable consumption is still under development, data-driven personalizing in e-commerce is emerging as a potential means of supporting company’s efforts. However, such analyses are lacking in the literature. The purpose of the article is to adapt the general framework that enables the delivery of multi-variant e-commerce user interfaces to shape customer engagement for sustainability. The framework has been adapted so that it can be used to shape customer engagement for sustainability, using concepts of customer engagement and business sustainability embedded in stakeholder theory. The paper has a practical contribution (empirical verification of the effectiveness of the concept) and a consequent theoretical contribution (development of a sustainability-oriented version of the framework).

Keywords: business sustainability; e-commerce; personalization; user interface; customer engagement (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no4_12.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:34:y:2024:i:4:p:211-229:id:12

DOI: 10.37190/ord240412

Access Statistics for this article

More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski ().