Technological Forecasting and Social Change

h5-index:74
h5-median:96

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

Title / Author	Cited by	Year
Social innovation: Moving the field forward. A conceptual framework G Cajaiba-Santana Technological Forecasting and Social Change 82, 42-51	523	2014
Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco JH Lee, MG Hancock, MC Hu Technological Forecasting and Social Change 89, 80-99	378	2014
From rapid prototyping to home fabrication: How 3D printing is changing business model innovation T Rayna, L Striukova Technological Forecasting and Social Change 102, 214-224	301	2016
Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations Y Wang, LA Kung, TA Byrd Technological Forecasting and Social Change 126, 3-13	258	2018
Locked into Copenhagen pledges—Implications of short-term emission targets for the cost and feasibility of long-term climate goals K Riahi, E Kriegler, N Johnson, C Bertram, M den Elzen, J Eom, ... Technological Forecasting and Social Change 90, 8-23	247	2015
The cost of additive manufacturing: machine productivity, economies of scale and technology-push M Baumers, P Dickens, C Tuck, R Hague Technological Forecasting and Social Change 102, 193-201	242	2016
The role of social support on relationship quality and social commerce MN Hajli Technological Forecasting and Social Change 87, 17-27	241	2014
Policy instruments for public procurement of innovation: Choice, design and assessment L Georghiou, J Edler, E Uyarra, J Yeow Technological Forecasting and Social Change 86, 1-12	204	2014
Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative ML Marsal-Llacuna, J Colomer-Llinàs, J Meléndez-Frigola Technological Forecasting and Social Change 90, 611-622	188	2015
Institutional factors, opportunity entrepreneurship and economic growth: Panel data evidence S Aparicio, D Urbano, D Audretsch Technological Forecasting and Social Change 102, 45-61	183	2016
A strategic view on smart city technology: The case of IBM Smarter Cities during a recession S Paroutis, M Bennett, L Heracleous Technological Forecasting and Social Change 89, 262-272	163	2014
Korean ubiquitous-eco-city: A smart-sustainable urban form or a branding hoax? T Yigitcanlar, SH Lee Technological Forecasting and Social Change 89, 100-114	157	2014
Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing M Bogers, R Hadar, A Bilberg Technological Forecasting and Social Change 102, 225-239	152	2016
Understanding current and future issues in collaborative consumption: A four-stage Delphi study SJ Barnes, J Mattsson Technological Forecasting and Social Change 104, 200-211	150	2016
Spaces for sustainable innovation: Solar photovoltaic electricity in the UK A Smith, F Kern, R Raven, B Verhees Technological Forecasting and Social Change 81, 115-130	145	2014
Making or breaking climate targets: The AMPERE study on staged accession scenarios for climate policy E Kriegler, K Riahi, N Bauer, VJ Schwanitz, N Petermann, V Bosetti, ... Technological Forecasting and Social Change 90, 24-44	134	2015
A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: Resource-based view N Somsuk, T Laosirihongthong Technological Forecasting and Social Change 85, 198-210	131	2014
Culture and innovation: The moderating effect of cultural values on corporate entrepreneurship A Turró, D Urbano, M Peris-Ortiz Technological Forecasting and Social Change 88, 360-369	124	2014
China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0” L Li Technological Forecasting and Social Change 135, 66-74	119	2018
Regional innovation system, absorptive capacity and innovation performance: An empirical study AKW Lau, W Lo Technological Forecasting and Social Change 92, 99-114	115	2015

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Dates and citation counts are estimated and are determined automatically by a computer program.