Large Language Models as Methodological Innovators: Advancing Theory and Practice in Technology Management

Call for Papers

Large Language Models as Methodological Innovators: Advancing Theory and Practice in Technology Management

Journal: Technological Forecasting and Social Change
Publisher: Elsevier
Submission Opens: 1 April 2026
Manuscript Submission Deadline: 1 January 2027

Introduction
Large Language Models (LLMs) revolutionize technology management by enabling semantic analysis of unstructured data, outperforming traditional methods in capturing innovation narratives and foresight. This Special Issue establishes rigorous LLM frameworks—integrating with tech mining/scientometrics—for theory building, strategic insight, scenario simulation, and ethical governance in managerial decision-making.

Guest Editors
Ying Guo (guoying_cupl@126.com)
Mengjia Wu (mengjia.wu@uts.edu.au)
Arash Hajikhani (arash.hajikhani@vtt.fi)
Cristian Mejia (mejia.cristian@ifi.u-tokyo.ac.jp)
Daniele Rotolo (d.rotolo@sussex.ac.uk)

List of Topic Areas
Submissions using LLMs for:

Theory development: synthesizing literature, hypothesis generation
Analytical insights: ecosystem mapping, R&D competition tracking
Foresight/simulation: dynamic scenarios, technology diffusion modeling
Efficacy/ethics: validation methods, bias mitigation, human-AI integration

Guest Editors Contact Details

Name	Institution	Email
Ying Guo	China University of Political Science	guoying_cupl@126.com
Mengjia Wu	University of Technology Sydney	mengjia.wu@uts.edu.au
Arash Hajikhani	VTT Technical Research Centre	arash.hajikhani@vtt.fi
Cristian Mejia	University of Tokyo	mejia.cristian@ifi.u-tokyo.ac.jp
Daniele Rotolo	University of Sussex / Poliba	d.rotolo@sussex.ac.uk

Submission Process & Deadlines
Submit via Editorial Manager at https://www.editorialmanager.com/tfs/default.aspx, selecting "VSI: LLMs Innovators". Rolling review (3+ reports/round).

Submission Guidelines
Guide for Authors: https://www.sciencedirect.com/journal/technological-forecasting-and-social-change/publish/guide-for-authors
Publication target: January 2028.

About the Journal
Technological Forecasting and Social Change (Impact Factor 13.3, CiteScore 26.3) pioneers research on technology evolution and strategic impacts.

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