0040-1625
Published by: Elsevier
https://www.journals.elsevier.com/technological-forecasting-and-social-change
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 2 | 273 | 556 | 97 |
Technological Forecasting and Social Change focuses on Marketing, Knowledge management, Industrial organization, Process (engineering) and Context (language use). The Knowledge management study tackled is a key component of adjacent topics in the area of Futures studies. Research on Process (engineering) addressed in the journal frequently intersections with the field of Management science.
The most cited publications explore disciplines such as Marketing, Knowledge management, Management science, Process (engineering) and Industrial organization. The most cited articles link adjacent topics like Knowledge management with Context (language use). The studies on Management science discussed at the most cited publications can also contribute to research in the domains of Delphi method, Delphi and Futures studies.
Technological Forecasting and Social Change investigates areas of study like Context (language use), Knowledge management, Industrial organization, Process (engineering) and Perspective (graphical). Context (language use) research featured in it incorporates concerns from various other topics such as Production (economics), Sustainability, Subsidy and Economic geography. Digital transformation, Dimension (data warehouse) and Openness to experience are some topics wherein Knowledge management research discussed in it have an impact.
Issues in Industrial organization were discussed, taking into consideration concepts from other disciplines like Mergers and acquisitions, Wind power, High tech, Renewable energy and Sample (statistics). The studies on Process (engineering) discussed can also contribute to research in the domains of Corporate governance and Product (category theory).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Technological Forecasting and Social Change (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Technological Forecasting and Social Change (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2022 edition, 29.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.56% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.78% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.25% of all publications and 64.41% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
The multidisciplinary nature of the research areas in 'Technological Forecasting and Social Change' opens up numerous career opportunities. Scholars can opt for marketing roles where they can utilize knowledge management skills and employ their understanding of industrial organizations. There are also promising career paths in Management Science and Industrial Engineering, which are in high demand in the corporate sector. Moreover, the intersection of these fields with futures studies enables professionals to devise long-term strategic plans for businesses and economies. Such aptitude is particularly valuable in institutions focused on policy planning, economic development, and business strategy. The constant evolution of technology also ensures that new avenues will continue to open up. For instance, the onset of digital transformation and data warehousing has seen a surge in demand for expertise in areas like Knowledge Management. Similarly, growing consciousness about sustainability has driven the significance of fields like Renewable Energy and Economic Geography. This multidisciplinary approach adopted by the 'Technological Forecasting and Social Change' thus not only widens the academic and research horizons of the scholars, but their professional and career opportunities as well. For individuals looking to pursue higher studies in these areas, certain institutions like the great business schools in Missouri offer specialized degrees in these subjects. Given the robust career prospects and continuous advancements in technology, future scope in these research fields appearing in 'Technological Forecasting and Social Change' look promising.
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(2021)Unknown
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