Algorithmic Mobilities in E-Commerce: Recommender Systems and the Circulation of Goods and Consumer Attention

2026-05-23

Consumer attention flows along with commodities as a movable resource, continuously captured and redirected through recommendation architectures. Attention moves through interfaces as users are guided between product pages, comparison streams, repeat exposures and adaptive sequences of suggested items that sustain motion across the platform. Behavioral tracking, predictive categorization and interface ranking channel perception toward specific commodities, creating patterned routes of engagement that link visual encounter, affective attachment and purchase movement. Furthermore, these algorithmic pathways also influence how consumers dwell, return and shift their attention along commercial paths defined by platform design. At the same time, commodities gain differential mobility as some products are repeatedly surfaced, accelerated and transferred across wider commercial circuits while others remain less visible and less mobile. E-commerce operates through entangled movements of goods, data and attention in which recommender systems regulate circulation by coordinating digital exposure with material distribution. Platform retail operates through algorithmically structured transfers of commodities and managed movements of consumer attention across networked spaces of exchange.

We therefore suggest a multidisciplinary anthology of research on algorithmic mobilities in e-commerce, with a view to advancing mobility-centered research on digital commerce from an interdisciplinary perspective. We therefore welcome research from different geographical locations, with innovative insights into how recommender systems influence the flow of commodities, consumer engagement and data from an empirical, methodological and theoretical perspective, especially in terms of how platform infrastructures facilitate commercial flow, visibility, transfer and differential mobility in local, regional and transnational retail networks.

Possible topics include, but are not limited to:

·         Algorithmic Retail Mobilities and the Circulation of Commodities in E Commerce

·         Recommender Infrastructures and the Platform Movement of Goods and Attention

·         Digital Commerce Mobilities and Algorithmic Pathways of Commodity Circulation

·         Platform Recommendations and the Differential Mobility of Commodities Online

·         Consumer Attention as Mobility in Algorithmically Mediated Retail Platforms

·         Algorithmic Visibility and the Circulation of Goods Across Retail Platforms

·         Recommender Systems and the Managed Movement of Commodities in E Commerce

·         Platform Retail Infrastructures and the Mobility of Goods and Attention

·         Algorithmic Sorting and the Circulation of Products in Platform Commerce

·         Recommender Architectures and the Mobility of Attention in Digital Retail

·         Digital Interfaces and the Circulation of Commodities Through Recommendation

·         Algorithmic Recommendation and the Mobility of Commodities in Digital Exchange

 

Crucial Deadlines

Ø  Submission Cut-off Date: 02.11.2026

Ø  Author Decision Date: 05.01.2027

Ø  Final Submission for Revised Papers: 12.03.2027

Ø  Final Notification of Acceptance: 25.05. 2027

GUEST EDITORS

 

Dr. M. Hanafi

Lecturer,

Department of Computer Science,

Universitas Amikom Yogyakarta,

Indonesia.

Email Id: hanafi@amikom.ac.id, hanafi.m1@outlook.com

Google Scholar: https://scholar.google.com/citations?user=p-_NvJgAAAAJ&hl=en

 

 

Dr. Satrya Fajri Pratama

Senior Lecturer

School of Physics, Engineering & Computer Science

University of Hertfordshire,

United Kingdom.

Email Id: s.f.pratama@herts.ac.uk

Google Scholar: https://scholar.google.com/citations?user=2oOykKUAAAAJ&hl=en&oi=ao

 

Dr. Ferda Ernawan

Associate Professor,

Faculty of Computing,

Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA),

Malaysia.

Email Id: ferda@umpsa.edu.my

Google Scholar: https://scholar.google.com/citations?user=ABL3SEQAAAAJ&hl=en&oi=ao