---
title: "Technological Forecasting and Social Change: recent papers"
description: "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."
url: https://scholar4ai.com/journals/technological-forecasting-and-social-change
markdown_url: https://scholar4ai.com/journals/technological-forecasting-and-social-change.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Technological Forecasting and Social Change

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

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## 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

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 784 | 491 | 418 | 1,693 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [China](https://scholar4ai.com/keywords/china.md) | 111 |
| 2 | [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) | 110 |
| 3 | [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 82 |
| 4 | technology adoption | 75 |
| 5 | [green innovation](https://scholar4ai.com/keywords/green-innovation.md) | 60 |
| 6 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 59 |
| 7 | small and medium-sized enterprises | 53 |
| 8 | manufacturing companies | 50 |
| 9 | artificial intelligence adoption | 45 |
| 10 | blockchain | 45 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 107 | 5.8 | [How artificial intelligence promotes new quality productive forces of firms: A dynamic capability view](https://doi.org/10.1016/j.techfore.2025.124128) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2025-04-14 | Tachia Chin, Zhisheng Li, Leping Huang et al. |
| 2 | 84 | 4.4 | [Shifting attitudes and trust in AI: Influences on organizational AI adoption](https://doi.org/10.1016/j.techfore.2025.124108) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2025-03-19 | Sarah J. Daly, Anna Monika Wiewiora, Greg Hearn |
| 3 | 74 | 3.7 | [Skills or degree? The rise of skill-based hiring for AI and green jobs](https://doi.org/10.1016/j.techfore.2025.124042) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2025-02-26 | Matthew Bone, Eugenia González Ehlinger, Fabian Stephany |
| 4 | 65 | 3.3 | [How cross-regional collaborative innovation networks affect regional economic resilience: Evidence from 283 cities in China](https://doi.org/10.1016/j.techfore.2025.124057) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2025-03-06 | Yanan Du, Qingxi Wang, Yan Song et al. |
| 5 | 62 | 3.5 | [Artificial intelligence in knowledge management: Identifying and addressing the key implementation challenges](https://doi.org/10.1016/j.techfore.2025.124183) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2025-05-02 | Mojtaba Rezaei |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-23 | [Public support for regulatory research on the potential ecological effects of RF-EMF](https://doi.org/10.1016/j.techfore.2026.124938) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Laura 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; … |
| 2026-10-23 | [Why some countries lead and others lag: The political economy of promoting battery electric vehicles](https://doi.org/10.1016/j.techfore.2026.124907) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | V. Anilan, Akshay Vij, Helen D. Barrie | The University of Adelaide |
| 2026-10-21 | [Editorial Board](https://doi.org/10.1016/s0040-1625(26)00405-1) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) |  |  |
| 2026-10-20 | [Visions, narratives and numbers: How roadmapping enables industrial transformation toward decarbonisation](https://doi.org/10.1016/j.techfore.2026.124920) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Karl‐Heinz Leitner, Sabine Neuberger, Ludo Diels | AIT Austrian Institute of Technology GmbH; Graz University of Technology; Flemish Institute for Technological Research |
| 2026-10-20 | [The dual impact of cap-and-trade policies on innovations and the moderating role of accumulated resources](https://doi.org/10.1016/j.techfore.2026.124919) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Jiayuan Han, Haoran Deng, Qian-Xia Chen | Hangzhou Dianzi University; Zhejiang University of Finance and Economics |
| 2026-10-19 | [Firm-level effects of AI attention on wages and productivity: A global comparative study](https://doi.org/10.1016/j.techfore.2026.124913) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Swapnanil SenGupta | Goethe 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 field](https://doi.org/10.1016/j.techfore.2026.124911) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Ana Alfaya, Júlio J. Conde, Javier Lloveras et al. | Universidade de Vigo |
| 2026-10-15 | [Flying low for greener farms: Configurational pathways linking the low-altitude economy to agricultural green total factor productivity in China](https://doi.org/10.1016/j.techfore.2026.124918) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Lei Zhou, Shiyuan Wang, Yanbang Zhou et al. | Renmin University of China |
| 2026-10-15 | [Artificial intelligence is not enough to enhance organizational performance](https://doi.org/10.1016/j.techfore.2026.124917) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Michael Wang | St George's, University of London; Kingston University London; University College London |
| 2026-10-14 | [Exploring the platformization dilemma: How manufacturers leverage digital platforms for service business model innovation](https://doi.org/10.1016/j.techfore.2026.124908) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Christian Lerch, Djerdj Horvat, Angela Jäger | Fraunhofer Institute for Systems and Innovation Research; University of Hohenheim |
| 2026-10-14 | [TMT attention to technological innovation and AI invention: Evidence from Chinese listed firms](https://doi.org/10.1016/j.techfore.2026.124915) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Xiangpeng Lian, Ying Guo | China University of Political Science and Law |
| 2026-10-13 | [From digital skilling to sustainable performance: How climate entrepreneurship and attitudes toward artificial intelligence shape the future of SME technological transitions](https://doi.org/10.1016/j.techfore.2026.124914) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Fazal Ayaz, Guoping Chen, Shah Abbas et al. | Wuhan Engineering Science & Technology Institute; Wuhan University of Science and Technology; Huazhong University of Science and Technology; … |
| 2026-10-09 | [Digital inputs, network position, and global value chains in creative industries](https://doi.org/10.1016/j.techfore.2026.124905) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Yonghee Kim |  |
| 2026-10-09 | [Interdisciplinary modelling in support of people-centred transitions: Forecasting citizen adoption of rooftop PV systems under alternative sociopolitical future-world evolutions](https://doi.org/10.1016/j.techfore.2026.124902) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Vassilis Stavrakas, Nikos Manias, Diana Süsser et al. | University of Piraeus; Institute for European Energy and Climate Policy |
| 2026-10-09 | [The AI CEO: A conceptualisation and outline for future research](https://doi.org/10.1016/j.techfore.2026.124909) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Justin Sundermann, Ashkan Fredström, Joakim Wincent | University of St.Gallen; Hanken School of Economics |
| 2026-10-09 | [More than regulation: How policy mixes shape innovation ecosystems in digital transformation](https://doi.org/10.1016/j.techfore.2026.124912) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Guannan Xu, Ning Kang, Xiangwan Zhou | Beijing University of Posts and Telecommunications; Tsinghua University |
| 2026-10-09 | [Identifying technological problems and exploring potential solutions to support R&D: Tech-mining with multi-LLM applications](https://doi.org/10.1016/j.techfore.2026.124895) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Sanghyun Park, Leehee Kim, Doyoung Park et al. | Seoul National University |
| 2026-10-08 | [Health app adoption among older adults: A multi-phase domestication perspective](https://doi.org/10.1016/j.techfore.2026.124898) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Xiaoxiang Xu, Martin Lockett, Boying Li | University of Nottingham Ningbo China; Jilin International Studies University |
| 2026-10-07 | [The politicization of AI semiconductor discourse: A longitudinal analysis of Korean media coverage (2023–2025)](https://doi.org/10.1016/j.techfore.2026.124903) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | JongHwi Song, Sooyeun Yoo, Erdenebayar Urtnasan | Yonsei University; Yonsei University Mirae Campus |
| 2026-10-06 | [Erratum to “From standards to patent pools: SEP-owner heterogeneity and the staged formation of collective licensing” \[Technol. Forecast. Soc. Change 234 (2027) 124877\]](https://doi.org/10.1016/j.techfore.2026.124899) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Karen Ruckman, Nilesh Saraf, Reza Shams | Simon Fraser University |
| 2026-10-05 | [Closing the opportunity gap: Exploring micro-enterprises' behavioral intention to integrate with digital platforms for a broader agri-food system](https://doi.org/10.1016/j.techfore.2026.124906) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Dong Xuemei, Guoqun Ma, Feiyu Chen | Jiangsu University of Science and Technology; Guangxi Normal University |
| 2026-10-03 | [Discovering early signals of technological opportunities: Insights from interdisciplinary innovation](https://doi.org/10.1016/j.techfore.2026.124896) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Ru Yao, Yu Wu, Zhijie HU et al. | Agricultural Information Institute; Chinese Academy of Agricultural Sciences; Beijing Academy of Agriculture and Forestry Sciences |
| 2026-10-02 | [Assessing inter-rater agreement among large language model judges: Evidence from persona evaluation across varying educational risk contexts](https://doi.org/10.1016/j.techfore.2026.124894) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Danial Amin, Joni O. Salminen, Bernard J. Jim Jansen | University of Vaasa; Peking University; Nankai University |
| 2026-10-02 | [Supply chain digitalization and ESG greenwashing: A signal reliability perspective](https://doi.org/10.1016/j.techfore.2026.124904) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Fenmian Wang, Wanlin Sun, Hong Zhang | University of International Business and Economics; Soochow University |
| 2026-10-02 | [How incentive mechanisms affect the dynamic internalization of low-carbon behavior? A perspective from carbon inclusion platforms](https://doi.org/10.1016/j.techfore.2026.124900) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Chunqin Zhang, Xin Yang, Wenbin Yao et al. | Zhejiang Sci-Tech University; Ningxia University; Shanghai Maritime University; … |
| 2026-10-01 | [Erratum to “Discovering early signals of technological opportunities: Insights from interdisciplinary innovation” \[Technol. Forecast. Soc. Chang. 234 (2027) 124896\]](https://doi.org/10.1016/j.techfore.2026.124922) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Ru Yao, Yu Wu, Zhijie HU et al. | Agricultural Information Institute; Chinese Academy of Agricultural Sciences; Beijing Academy of Agriculture and Forestry Sciences |
| 2026-10-01 | [Finding green start-ups at scale: Automating selection through Natural Language Processing algorithms](https://doi.org/10.1016/j.techfore.2026.124897) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Stefano Bianchini, Alessandra Colombelli, Baptiste Le Masle et al. | Bureau d'Economie Théorique et Appliquée; Politecnico di Torino; Istituto Universitario di Studi Superiori di Pavia |
| 2026-09-29 | [From transient shocks to unexpected outcomes: Disruptive drivers in scenario pathways](https://doi.org/10.1016/j.techfore.2026.124893) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | Andrew 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).