This paper offers a comprehensive overview of IEEE Transactions in Engineering Management (IEEE TEM) from 1985 to 2017. The article employs a mixed method examination based on an indepth interview with the new editor regarding the challenges for the future of IEEE TEM, along with a bibliometric analysis of the journal. By using Web of Science Core Collection data, the analysis maps the knowledge produced and disseminated by the IEEE TEM, revealing the most cited papers; the most frequently occurring keywords and the interconnection between them; the most prolific authors and their co-authorship network; and the most prolific countries for published articles. The paper also shows the main avenues of research covered by IEEE TEM and their evolution through the analysis of the correlation of keywords. This paper offers an example application of a mixed method bibliometric analysis, seeking to extend the quantitative findings by including other sources of data. Key Meaning OC Keyword occurrences. How many times a keyword appears. APY Average publication year of a keyword. The average year when a keyword is used in the selected time frame.
F oresight studies provide essential information used by the government, industry and academia for technology planning and knowledge expansion. They are complicated, resource-intensive, and quite expensive. The approach, methods, and techniques must be carefully identified and selected. Despite the global importance of foresight activities, there are no frameworks to help one develop and plan a proper foresight study. This paper begins
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