Scholar4AI Updated 2026-10-26 14:52 UTC+09:00

Technological Forecasting and Social Change

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5 papers in the last 7 days · category: Management · publisher: Elsevier BV · ISSN 0040-1625

← Papers per journal

Key findings#

  • Technological Forecasting and Social Change published 28 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #27 of 239 journals.
  • Leading institutions: Zhejiang University of Finance and Economics (2), Chinese Academy of Agricultural Sciences (2) and Beijing Academy of Agriculture and Forestry Sciences (2).
  • Countries: China (12), Germany (3) and France (2).
  • From Oct 2023 to Sep 2026, Technological Forecasting and Social Change published 1,693 papers (47 a month on average, by publication date in OpenAlex).
  • Its most frequent keywords over that period were “China” (111), “digital transformation” (110) and “artificial intelligence” (82).
  • Its most-cited paper of the period is “How artificial intelligence promotes new quality productive forces of firms: A dynamic capability view” (2025-04-14), with 107 citations.

The last 36 months#

Oct 23: 48 papersNov 23: 83 papersDec 23: 107 papersJan 24: 75 papersFeb 24: 54 papersMar 24: 50 papersApr 24: 53 papersMay 24: 40 papersJun 24: 74 papersJul 24: 54 papersAug 24: 78 papersSep 24: 68 papersOct 24: 58 papersNov 24: 66 papersDec 24: 39 papersJan 25: 37 papersFeb 25: 46 papersMar 25: 38 papersApr 25: 45 papersMay 25: 46 papersJun 25: 28 papersJul 25: 42 papersAug 25: 23 papersSep 25: 23 papersOct 25: 25 papersNov 25: 38 papersDec 25: 44 papersJan 26: 38 papersFeb 26: 45 papersMar 26: 45 papersApr 26: 39 papersMay 26: 39 papersJun 26: 31 papersJul 26: 24 papersAug 26: 23 papersSep 26: 27 papers
Oct 23Sep 26
Papers by publication date, Oct 2023 to Sep 2026
Oct 23–Sep 24Oct 24–Sep 25Oct 25–Sep 2636 months
7844914181,693
Most frequent keywords, Oct 2023 to Sep 2026
#KeywordPapers
1China111
2digital transformation110
3artificial intelligence82
4technology adoption75
5green innovation60
6Chinese listed companies59
7small and medium-sized enterprises53
8manufacturing companies50
9artificial intelligence adoption45
10blockchain45
Most-cited papers published Oct 2023 to Sep 2026
#CitationsPer monthTitleJournalPublishedAuthors
11075.8How artificial intelligence promotes new quality productive forces of firms: A dynamic capability viewTechnological Forecasting and Social Change2025-04-14Tachia Chin, Zhisheng Li, Leping Huang et al.
2844.4Shifting attitudes and trust in AI: Influences on organizational AI adoptionTechnological Forecasting and Social Change2025-03-19Sarah J. Daly, Anna Monika Wiewiora, Greg Hearn
3743.7Skills or degree? The rise of skill-based hiring for AI and green jobsTechnological Forecasting and Social Change2025-02-26Matthew Bone, Eugenia González Ehlinger, Fabian Stephany
4653.3How cross-regional collaborative innovation networks affect regional economic resilience: Evidence from 283 cities in ChinaTechnological Forecasting and Social Change2025-03-06Yanan Du, Qingxi Wang, Yan Song et al.
5623.5Artificial intelligence in knowledge management: Identifying and addressing the key implementation challengesTechnological Forecasting and Social Change2025-05-02Mojtaba Rezaei
Papers, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-23Public support for regulatory research on the potential ecological effects of RF-EMFTechnological Forecasting and Social ChangeLaura Recuero Virto, Peter Bou Saba, Arno Thielens et al.Centre Européen de Recherche en Economie Financière et Gestion des Entreprises; ICN Business School Nancy-Paris-Berlin; Université de Lorraine; …
2026-10-23Why some countries lead and others lag: The political economy of promoting battery electric vehiclesTechnological Forecasting and Social ChangeV. Anilan, Akshay Vij, Helen D. BarrieThe University of Adelaide
2026-10-21Editorial BoardTechnological Forecasting and Social Change
2026-10-20Visions, narratives and numbers: How roadmapping enables industrial transformation toward decarbonisationTechnological Forecasting and Social ChangeKarl‐Heinz Leitner, Sabine Neuberger, Ludo DielsAIT Austrian Institute of Technology GmbH; Graz University of Technology; Flemish Institute for Technological Research
2026-10-20The dual impact of cap-and-trade policies on innovations and the moderating role of accumulated resourcesTechnological Forecasting and Social ChangeJiayuan Han, Haoran Deng, Qian-Xia ChenHangzhou Dianzi University; Zhejiang University of Finance and Economics
2026-10-19Firm-level effects of AI attention on wages and productivity: A global comparative studyTechnological Forecasting and Social ChangeSwapnanil SenGuptaGoethe University Frankfurt; Halle Institute for Economic Research
2026-10-17“The Right to Repair”: A systematic literature review and research agenda for an emerging interdisciplinary fieldTechnological Forecasting and Social ChangeAna Alfaya, Júlio J. Conde, Javier Lloveras et al.Universidade de Vigo
2026-10-15Flying low for greener farms: Configurational pathways linking the low-altitude economy to agricultural green total factor productivity in ChinaTechnological Forecasting and Social ChangeLei Zhou, Shiyuan Wang, Yanbang Zhou et al.Renmin University of China
2026-10-15Artificial intelligence is not enough to enhance organizational performanceTechnological Forecasting and Social ChangeMichael WangSt George's, University of London; Kingston University London; University College London
2026-10-14Exploring the platformization dilemma: How manufacturers leverage digital platforms for service business model innovationTechnological Forecasting and Social ChangeChristian Lerch, Djerdj Horvat, Angela JägerFraunhofer Institute for Systems and Innovation Research; University of Hohenheim
2026-10-14TMT attention to technological innovation and AI invention: Evidence from Chinese listed firmsTechnological Forecasting and Social ChangeXiangpeng Lian, Ying GuoChina University of Political Science and Law
2026-10-13From digital skilling to sustainable performance: How climate entrepreneurship and attitudes toward artificial intelligence shape the future of SME technological transitionsTechnological Forecasting and Social ChangeFazal Ayaz, Guoping Chen, Shah Abbas et al.Wuhan Engineering Science & Technology Institute; Wuhan University of Science and Technology; Huazhong University of Science and Technology; …
2026-10-09Digital inputs, network position, and global value chains in creative industriesTechnological Forecasting and Social ChangeYonghee Kim
2026-10-09Interdisciplinary modelling in support of people-centred transitions: Forecasting citizen adoption of rooftop PV systems under alternative sociopolitical future-world evolutionsTechnological Forecasting and Social ChangeVassilis Stavrakas, Nikos Manias, Diana Süsser et al.University of Piraeus; Institute for European Energy and Climate Policy
2026-10-09The AI CEO: A conceptualisation and outline for future researchTechnological Forecasting and Social ChangeJustin Sundermann, Ashkan Fredström, Joakim WincentUniversity of St.Gallen; Hanken School of Economics
2026-10-09More than regulation: How policy mixes shape innovation ecosystems in digital transformationTechnological Forecasting and Social ChangeGuannan Xu, Ning Kang, Xiangwan ZhouBeijing University of Posts and Telecommunications; Tsinghua University
2026-10-09Identifying technological problems and exploring potential solutions to support R&D: Tech-mining with multi-LLM applicationsTechnological Forecasting and Social ChangeSanghyun Park, Leehee Kim, Doyoung Park et al.Seoul National University
2026-10-08Health app adoption among older adults: A multi-phase domestication perspectiveTechnological Forecasting and Social ChangeXiaoxiang Xu, Martin Lockett, Boying LiUniversity of Nottingham Ningbo China; Jilin International Studies University
2026-10-07The politicization of AI semiconductor discourse: A longitudinal analysis of Korean media coverage (2023–2025)Technological Forecasting and Social ChangeJongHwi Song, Sooyeun Yoo, Erdenebayar UrtnasanYonsei University; Yonsei University Mirae Campus
2026-10-06Erratum to “From standards to patent pools: SEP-owner heterogeneity and the staged formation of collective licensing” [Technol. Forecast. Soc. Change 234 (2027) 124877]Technological Forecasting and Social ChangeKaren Ruckman, Nilesh Saraf, Reza ShamsSimon Fraser University
2026-10-05Closing the opportunity gap: Exploring micro-enterprises' behavioral intention to integrate with digital platforms for a broader agri-food systemTechnological Forecasting and Social ChangeDong Xuemei, Guoqun Ma, Feiyu ChenJiangsu University of Science and Technology; Guangxi Normal University
2026-10-03Discovering early signals of technological opportunities: Insights from interdisciplinary innovationTechnological Forecasting and Social ChangeRu Yao, Yu Wu, Zhijie HU et al.Agricultural Information Institute; Chinese Academy of Agricultural Sciences; Beijing Academy of Agriculture and Forestry Sciences
2026-10-02Assessing inter-rater agreement among large language model judges: Evidence from persona evaluation across varying educational risk contextsTechnological Forecasting and Social ChangeDanial Amin, Joni O. Salminen, Bernard J. Jim JansenUniversity of Vaasa; Peking University; Nankai University
2026-10-02Supply chain digitalization and ESG greenwashing: A signal reliability perspectiveTechnological Forecasting and Social ChangeFenmian Wang, Wanlin Sun, Hong ZhangUniversity of International Business and Economics; Soochow University
2026-10-02How incentive mechanisms affect the dynamic internalization of low-carbon behavior? A perspective from carbon inclusion platformsTechnological Forecasting and Social ChangeChunqin Zhang, Xin Yang, Wenbin Yao et al.Zhejiang Sci-Tech University; Ningxia University; Shanghai Maritime University; …
2026-10-01Erratum to “Discovering early signals of technological opportunities: Insights from interdisciplinary innovation” [Technol. Forecast. Soc. Chang. 234 (2027) 124896]Technological Forecasting and Social ChangeRu Yao, Yu Wu, Zhijie HU et al.Agricultural Information Institute; Chinese Academy of Agricultural Sciences; Beijing Academy of Agriculture and Forestry Sciences
2026-10-01Finding green start-ups at scale: Automating selection through Natural Language Processing algorithmsTechnological Forecasting and Social ChangeStefano Bianchini, Alessandra Colombelli, Baptiste Le Masle et al.Bureau d'Economie Théorique et Appliquée; Politecnico di Torino; Istituto Universitario di Studi Superiori di Pavia
2026-09-29From transient shocks to unexpected outcomes: Disruptive drivers in scenario pathwaysTechnological Forecasting and Social ChangeAndrew G. Ross
Cite this page

Scholar4AI. (2026). Technological Forecasting and Social Change. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/technological-forecasting-and-social-change

@misc{scholar4ai-journals-technological-forecasting-and-social-change,
  author = {{Scholar4AI}},
  title = {Technological Forecasting and Social Change},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/technological-forecasting-and-social-change}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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