IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 11786 - 11795
Опубликована: Янв. 1, 2024
Язык: Английский
IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 11786 - 11795
Опубликована: Янв. 1, 2024
Язык: Английский
International Entrepreneurship and Management Journal, Год журнала: 2025, Номер 21(1)
Опубликована: Янв. 30, 2025
Язык: Английский
Процитировано
4Industry and Innovation, Год журнала: 2023, Номер 30(7), С. 755 - 765
Опубликована: Авг. 9, 2023
In an era of increasing global challenges, two paradigmatic shifts – the digital and green transitions have gained traction due to their potential impacts on industrial ecosystems societal inequalities. Termed 'twin transition', these underscore synergies between technological advancements environmental sustainability. Highlighting its importance in post-COVID-19 recovery, special issue examines twin transition's drive innovation affect social, economic, geographical The seven articles this explore impact transition corporate strategies investment, alongside implications. Key findings need for diversified investments, especially AI, enhanced infrastructures. Policy recommendations advocate aiding firms lagging digitalisation developing region-specific policies. research sets a roadmap future inquiries into interplay transition, broader economic impacts, policy-driven strategies.
Язык: Английский
Процитировано
22Sustainability, Год журнала: 2024, Номер 16(4), С. 1533 - 1533
Опубликована: Фев. 11, 2024
In the European Digital Decade 2030 Policy Program, following guidelines for digital transformation are named, which means that more than 90% of small- and medium-sized companies reach at least a basic level intensity. addition to that, Commission pays lot attention implementing “Green Deal” in order achieve less environmental impact. ICT SMEs already play key role Europe’s green transformation, creating technologies promote sustainability strengthen position. The limited fragmented application today’s sustainable is observed EU level. bibliometric literature analytical results show number papers on direction five times higher topic. paper seeks identify directions could help speed up this twin each country. authors proposed two-stage methodology, used researching transformations SMEs. According first, analysed indicators EU-27 SMEs, representing their activity towards comparing them among other size classes. SME’s numbers 16 area worse characterizing enterprises, having ten employees. addition, multi-criteria decision making-based assessment framework was constructed progress transition. provided research shows areas require from policy makers responding objectives.
Язык: Английский
Процитировано
12Resources Policy, Год журнала: 2024, Номер 94, С. 105109 - 105109
Опубликована: Май 30, 2024
Язык: Английский
Процитировано
7Journal of Evolutionary Economics, Год журнала: 2024, Номер 34(1), С. 1 - 28
Опубликована: Янв. 1, 2024
Abstract Artificial intelligence (AI) technologies have significantly attracted the attention of institutional investors over last decade. However, previous literature has not deeply explored characteristics venture capital (VC) investments in AI ventures. In this study, we explore whether and to what extent ventures differ from those similar non-AI ventures, they are moderated by venture-level, country-level, investor-level factors. We test our hypotheses on a sample 5235 2689 9215 4373 belonging Industry 4.0 domain, observed 2000 2019. find that amount invested is lower than ones: negative relationship is, however, venture’s development stage, VC investor’s experience level country which operates.
Язык: Английский
Процитировано
6Regional Studies, Год журнала: 2024, Номер unknown, С. 1 - 19
Опубликована: Март 11, 2024
We investigate the spatial distributions and transitions of European regions' innovative orientation to information communication technology (ICT), green or twin technologies. Using a transition probability approach methods, we estimate regions becoming in either both technologies assess role spillovers.
Язык: Английский
Процитировано
5Regional Studies, Год журнала: 2024, Номер unknown, С. 1 - 17
Опубликована: Июнь 12, 2024
This study reveals both the spatial and combinatory patterns of digital green scientific knowledge bases for creation new in domain so-called 'twin transition'. The recent rapid diffusion this twin European regions has not adhered to clearly defined been characterised by a dynamic process actor reconfiguration. However, with strong science base have greater propensity produce more, better quality more visible knowledge. Among most prevalent fields emerging today are artificial intelligence (AI)- Internet Things (IoT)-powered applications energy storage, distribution consumption; environmental monitoring modelling; urban planning.
Язык: Английский
Процитировано
5Regional Studies, Год журнала: 2024, Номер unknown, С. 1 - 17
Опубликована: Авг. 21, 2024
This paper examines the role of policy in China's digital and green (twin) transition, building on a qualitative study large corpus documents domains. We analyse multi-level governance these transitions for three regional case studies: Shanghai, Wuhan Hangzhou. find that regions both adopt adjust aims means differently from national policy. A twin transition is not comprehensively addressed at level, but partially implemented regions. Based our findings, we develop typology sketching top-down implementation strategies.
Язык: Английский
Процитировано
5Eurasian Economic Review, Год журнала: 2025, Номер unknown
Опубликована: Янв. 16, 2025
Abstract This paper investigates the contribution of artificial intelligence (AI) to environmental innovation. Leveraging a novel dataset USPTO patent applications from 1980 2019, it explores domain green (GI), defined as application AI algorithms technologies. Our analyses reveal an expanding landscape where is indeed used general-purpose technology address challenge sustainability and acts catalyst for We highlight transportation, energy, control methods key GI then examine impact inventions by using measures econometric tests suitable establish (1) how differ other technologies (2) what specifically distinguishes in terms quality value. Results show that have greater on follow-on display originality generality. stand out even further these dimensions. However, when we market response inventions, find positive results only AI, indicating mismatch between technological vis-à-vis potential technologies, arguably due uncertainty their risk-return profiles.
Язык: Английский
Процитировано
0Small Business Economics, Год журнала: 2025, Номер unknown
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
0