% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Simon:829132,
      author       = {Simon, H. and Sick, N.},
      title        = {{T}echnological distance measures: new perspectives on
                      nearby and far away},
      journal      = {Scientometrics},
      volume       = {107},
      number       = {3},
      issn         = {1588-2861},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {FZJ-2017-02939},
      pages        = {1299 - 1320},
      year         = {2016},
      abstract     = {Understanding the competitive environment of one’s
                      company is crucial for every manager. One tool to quantify
                      the technological relationships between companies, evaluate
                      industry landscapes and knowledge transfer potential in
                      collaborations is the technological distance. There are
                      different methods and many different factors that impact the
                      results and thus the conclusions that are drawn from
                      distance calculation. Therefore, the present study derives
                      guidelines for calculating and evaluating technological
                      distances for three common methods, i.e. the Euclidean
                      distance, the cosine angle and the min-complement distance.
                      For this purpose, we identify factors that influence the
                      results of technological distance calculation using
                      simulation. Subsequently, we analyze technological distances
                      of cross-industry collaborations in the field of electric
                      mobility. Our findings show that a high level of detail is
                      necessary to achieve insightful results. If the topic in
                      scope of the analysis does not represent the core business
                      of the companies, we recommend filters to focus on the
                      respective topic. Another key suggestion is to compare the
                      calculated results to a peer group in order to evaluate if a
                      distance can be evaluated as ‘near’ or ‘far’.},
      cin          = {IEK-12},
      ddc          = {050},
      cid          = {I:(DE-Juel1)IEK-12-20141217},
      pnm          = {131 - Electrochemical Storage (POF3-131)},
      pid          = {G:(DE-HGF)POF3-131},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000376273700019},
      doi          = {10.1007/s11192-016-1888-3},
      url          = {https://juser.fz-juelich.de/record/829132},
}