aiSnoop: An AI-assisted Social Listening Tool for SME Managers

With growing popularity of social networks and online brand engagement, small and medium-sized enterprises (SME) are facing challenges in leveraging business value effectively from interactions with their online communities. Social listening tools, enhanced by artificial intelligence (AI), help enterprises to better understand customer needs and trends by synthesizing engagement and interaction data from various channels into actionable insights. However, prevalent tools widely appear too costly, inaccessible and complex to handle for SME managers. In response, we present this article on the design of “aiSnoop”, an AI-assisted social listening tool for SME managers. The article describes how the tool was developed, demonstrated and evaluated as a design artifact with an SME-contextualized design science research approach. We find that automation, usability and transparency, and advanced AI integration are important social listening tool capabilities for SMEs, contributing to the broader discussion on AI-assisted decision-support system design from an SME- and practice-oriented research perspective.

Institutions

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

aiSnoop: An AI-assisted Social Listening Tool for SME Managers

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

aiSnoop: An AI-assisted Social Listening Tool for SME Managers

article en

Abstract

With growing popularity of social networks and online brand engagement, small and medium-sized enterprises (SME) are facing challenges in leveraging business value effectively from interactions with their online communities. Social listening tools, enhanced by artificial intelligence (AI), help enterprises to better understand customer needs and trends by synthesizing engagement and interaction data from various channels into actionable insights. However, prevalent tools widely appear too costly, inaccessible and complex to handle for SME managers. In response, we present this article on the design of “aiSnoop”, an AI-assisted social listening tool for SME managers. The article describes how the tool was developed, demonstrated and evaluated as a design artifact with an SME-contextualized design science research approach. We find that automation, usability and transparency, and advanced AI integration are important social listening tool capabilities for SMEs, contributing to the broader discussion on AI-assisted decision-support system design from an SME- and practice-oriented research perspective.

Journal of the Association for Information Systems
Brandenburg University of Applied Sciences (DE)
Openalex Percentile: Top 57%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

aiSnoop: An AI-assisted Social Listening Tool for SME Managers · Journal of the Association for Information Systems (2025) | TGRS Research Map | TGRS