Technological Forecasting and Social Change (TECHNOL FORECAST SOC)
A major forum for those wishing to deal directly with the methodology and practice of technological forecasting and future studies as planning tools as they interrelate social, environmental and technological factors.
- Impact factor1.71
- WebsiteTechnological Forecasting and Social Change website
Other titlesTechnological forecasting and social change (Online), Technological forecasting & social change
Material typeDocument, Periodical, Internet resource
Document typeInternet Resource, Computer File, Journal / Magazine / Newspaper
- Author can archive a pre-print version
- Author can archive a post-print version
- Voluntary deposit by author of pre-print allowed on Institutions open scholarly website and pre-print servers
- Voluntary deposit by author of authors post-print allowed on institutions open scholarly website including Institutional Repository
- Deposit due to Funding Body, Institutional and Governmental mandate only allowed where separate agreement between repository and publisher exists
- Set statement to accompany deposit
- Published source must be acknowledged
- Must link to journal home page or articles' DOI
- Publisher's version/PDF cannot be used
- Articles in some journals can be made Open Access on payment of additional charge
- NIH Authors articles will be submitted to PMC after 12 months
- Authors who are required to deposit in subject repositories may also use Sponsorship Option
- Pre-print can not be deposited for The Lancet
Publications in this journal
Article: Analyzing and improving the national innovation system of highly developed countries - The case of SwitzerlandTechnological Forecasting and Social Change 06/2014;
Article: Decarbonizing road freight in the future — Detailed scenarios of the carbon emissions of Finnish road freight transport in 2030 using a Delphi method approach[show abstract] [hide abstract]
ABSTRACT: Research on the future of carbon dioxide (CO2) emissions of road freight transport in Finland is reported in this paper. Delphi method is utilized to forecast the changes of GDP and seven indicators which determine the CO2 emissions of road freight. Information about the factors affecting the future of these indicators was also collected and an innovative method for acquiring qualitative data in the first round of Delphi study and quantifying it in the second round is presented. Cluster analysis is used to create six scenarios for 2030. The scenarios are mostly driven by different economic developments, which result in very different demand for transport. Despite of this, all scenarios forecast at least 26% reduction in CO2 emissions from 2010 level, while the maximum reduction in one of the scenarios is 74%.Technological Forecasting and Social Change 03/2013;
Article: The conjoint community resiliency assessment measure as a baseline for profiling and predicting community resilience for emergencies[show abstract] [hide abstract]
ABSTRACT: Community resilience is a term that describes the community's ability to function amidst crises or disruptions. Community resilience is perceived as a fundamental element in emergency preparedness and as a mean of ensuring social stability in the face of crises, including disasters. However, there is a paucity of empiric evidence for this conjecture. This paper demonstrates the use of the Conjoint Community Resilience Assessment Measurement (CCRAM) for estimating the ability of a community to be resilient in the face of disaster. Six factors of community resilience were identified based on a study conducted in nine small to medium size towns (N = 886): Leadership, collective efficacy, preparedness, place attachment, social trust and social relationship. Multiple logistic regressions yielded the CCRAM protective factors for perceived community resilience. Receiver Operating Characteristic (ROC) analysis confirmed the quality of the CCRAM as a diagnostic tool for perceived community resilience. The CCRAM tool is presented as a potential provider of information for authorities and decision makers as an aid for foreseeing and planning towards the challenges present during emergency times.Technological Forecasting and Social Change 01/2013;
Article: Caring for Healthcare Entrepreneurs - Towards successful entrepreneurial strategies for sustainable innovations in Dutch healthcare[show abstract] [hide abstract]
ABSTRACT: The sustainability of current healthcare systems is threatened by several societal developments, including an aging population, an increase of unmet medical needs and rising healthcare costs. A transition is needed in rder to meet these threats and to achieve a proper balance between the demand for care and the capacity to supply it. Entrepreneurs play a crucial role in developing the required sustainable innovations for this structural change. They are able to develop innovations in close interaction within the healthcare context. This paper studies entrepreneurial strategies for the successful development of sustainable innovations in Dutch healthcare. Data comes from semistructured interviews with healthcare entrepreneurs. Results show that entrepreneurs experience the interaction with the healthcare systemcontext in various ways and act accordingly. Four types of sustainable healthcare entrepreneurs could be identified: isolated, innovative, evolutionary and revolutionary. These entrepreneurial types differ in terms of their beliefs as to whether and how individual entrepreneurs can contribute to achieving structural change in healthcare.Technological Forecasting and Social Change 01/2013;
Technological Forecasting and Social Change 01/2013; 80:772-788.
Article: Integrating Innovation System and Management Concepts: The Development of Electric and Hybrid Electric Vehicles in JapanTechnological Forecasting and Social Change 01/2012; 79(8):1431-1446.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.
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