Academic Journal
Q1Technological Forecasting and Social Change
About Technological Forecasting and Social Change
Technological Forecasting and Social Change is a scholarly journal published by Elsevier Inc.. SCImago 2025 lists it in Q1, with an SJR of 3.479 and H-index of 241.
Coverage: 1970-2026. Research categories: Applied Psychology (Q1); Business and International Management (Q1); Management of Technology and Innovation (Q1).
Source-backed journal facts
Topics in published research
Innovation and Knowledge Management; Innovation Diffusion and Forecasting; Energy, Environment, Economic Growth; Innovation Policy and R&D; Economic Growth and Productivity; Diverse Scientific and Economic Studies.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,490.00 USD; 3,260.00 EUR; 2,790.00 GBP; 432,860.00 JPY
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Unveiling the dynamics of data driven innovation in human resource analytics: A grounded theory of strategic approach to HRM
Mona Kardani Malekinezhad, Fariborz Rahimnia, Ghasem Eslami, Mohammad Mahdi Farahi et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124880How incentive mechanisms affect the dynamic internalization of low-carbon behavior? A perspective from carbon inclusion platforms
Chunqin Zhang, Xin Yang, Wenbin Yao, Ziyan Jiang et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124900User-designed disclosure, whether fans or consumers: Signaling innovation across technological vs. non-technological contexts
Richard Huaman-Ramirez, Stéphane Salgado, Aranzazu Gaztelumendi
2027-01 · DOI: 10.1016/j.techfore.2026.124884The geography of green entrepreneurship: Regional capabilities and the rise of new green technology-based firms
Federico Colozza, Francesco Lelli
2027-01 · DOI: 10.1016/j.techfore.2026.124878From standards to patent pools: SEP-owner heterogeneity and the staged formation of collective licensing
Karen Ruckman, Nilesh Saraf, Reza Shams
2027-01 · DOI: 10.1016/j.techfore.2026.124877Resolving “pseudo-collaboration”: Optimizing industry-university-research cooperation motif network structures and capabilities to enhance green innovation
Qin Liu, Haoyue Yang, Ruming Chen, Qian Yu et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124883Assessing inter-rater agreement among large language model judges: Evidence from persona evaluation across varying educational risk contexts
Danial Amin, Joni Salminen, Bernard J. Jansen
2027-01 · DOI: 10.1016/j.techfore.2026.124894Supply chain digitalization and ESG greenwashing: A signal reliability perspective
Fenmian Wang, Wanlin Sun, Hong Zhang
2027-01 · DOI: 10.1016/j.techfore.2026.124904Shaping sustainable investment through digital technologies: Strategic perspectives for the transformation era
Foued Saâdaoui, Hana Rabbouch
2027-01 · DOI: 10.1016/j.techfore.2026.124882Co-creating responsible AI for public safety: A mixed-method approach toward understanding stakeholder perceptions
Babak Rahimi Ardabli, Armin Danesh Pazho, Jeri Guido, Philip Otienobru et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124879Finding green start-ups at scale: Automating selection through Natural Language Processing algorithms
Stefano Bianchini, Alessandra Colombelli, Baptiste Le Masle, Chiara Ravetti et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124897Inside-out and outside-in: How digital capabilities and environmental dynamism shape AI adoption in SMEs
Kanhaiya K. Sinha, Galina Shirokova, Arsenii Bystrov
2027-01 · DOI: 10.1016/j.techfore.2026.124901From transient shocks to unexpected outcomes: Disruptive drivers in scenario pathways
Andrew G. Ross
2027-01 · DOI: 10.1016/j.techfore.2026.124893Capturing the system-level effects of innovation policy: An assessment of publicly funded innovative entrepreneurship in Sweden
Mart Laatsit, Åsa Lindholm Dahlstrand, Magnus Nilsson
2027-01 · DOI: 10.1016/j.techfore.2026.124886Artificial intelligence and corporate environmental performance: The mediating role of green AI practices and green intellectual capital
Najla Bouebdallah
2027-01 · DOI: 10.1016/j.techfore.2026.124885Discovering early signals of technological opportunities: Insights from interdisciplinary innovation
Ru Yao, Yu Wu, Zhijie Hu, Jinming Wu et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124896The more the better? The nonlinear innovation effect of the big data policy
Weiwei Wu, Ruicong Xiao, Deyun Yin, Jiaxin Fu et al.
2027-01 · DOI: 10.1016/j.techfore.2026.124881Tail-driven asymmetries in sustainable finance: SMEs, ESG, and energy innovation under market stress
Amine Lahiani, Salma Mefteh-Wali, Nada Mselmi
2026-12 · DOI: 10.1016/j.techfore.2026.124855Employee stock ownership plans and the capitalization of R&D expenditures
Sabri Boubaker, Jing Du, Rui Xu, Mengmeng Jiang et al.
2026-12 · DOI: 10.1016/j.techfore.2026.124872Backcasting: An innovative approach to conflict management for transformative innovation projects
Giulia Volpini
2026-12 · DOI: 10.1016/j.techfore.2026.124851Reviews
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September 13, 2026 at 11:15 am
September 13, 2026