Search results for "Technology forecasting"
showing 4 items of 4 documents
Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history
2020
Abstract Technological Forecasting and Social Change (TF&SC) celebrates its fiftieth anniversary this year. The anniversary represents an appropriate time for an introspective analysis of the journal's history and impact. This study presents a bibliometric analysis of TF&SC in terms of how often TF&SC is cited by other journals (citation outflow), how often other journals are cited by TF&SC (citation inflow), citations by Web of Science and SCImago disciplinary categories, most-cited articles in TF&SC, co-citation of journals, and co-occurrence of author keywords. Analysis is conducted by using the Web of Science (WOS) database and Visualization of Similarities (VOS) viewer software. The in…
Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change
2021
[EN] Technological Forecasting and Social Change (TF&SC) is a leading international journal that publishes major advances related to technological forecasting and future studies. The journal was launched in 1969 and in 2019 celebrated its 50th anniversary. To celebrate 50 years of outstanding contributions, this study presents a bibliometric analysis of TF&SC publications and patterns of citations within TF&SC in terms of authors, institutions and countries. The analysis relies on the Web of Science Core Collection database for bibliographic content and Visualization of Similarities viewer software for mapping of bibliometric data. Our analysis identifies leading authors, universities and c…
Tension in the data environment: How organisations can meet the challenge
2022
Big Data is becoming ubiquitous - widely applied across organisations, industry sectors and society. However, the opportunities and risks it presents are not yet fully understood. In this paper we identify and explore the tensions that Big Data can create at multiple levels, focusing on the need for organisations to meet the challenges that can arise. We draw on insights from twelve papers published in the Special Issue of Technological Forecasting & Social Change entitled “Tension in the Data Environment: Can Organisations Meet the Challenge?” in order to build a ‘Multi-Layer Tensions Model’ that highlights key pressures and challenges in the BD environment. We find evidence of tensions of…
Graphic model for evaluating the competitiveness and eco-efficiency of eco-innovative projects
2019
Eco-innovation describes the creation of novel and competitively priced goods, processes, systems, services, policies, and procedures that satisfy human needs and improve the quality of life while ensuring sustainable development with minimal use of natural resources and minimal release of toxic substances. This article delves into one of the most pressing problems in improving the assessment of eco-innovative projects meant to effect sustainable development. The article also proposes new criteria for evaluating eco-innovation projects. The purpose is to develop and propose a graphic model by which to assess the innovativeness, competitiveness, and eco-efficiency of eco-innovation projects.…