h1

% 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”.

@PHDTHESIS{Lenart:988609,
      author       = {Lenart, Martin},
      othercontributors = {Kampker, Achim and Stich, Volker},
      title        = {{R}isikobasierte {G}estaltung von {S}ubskriptionsmodellen
                      im {M}aschinen- und {A}nlagenbau; 1. {A}uflage},
      volume       = {192},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {Apprimus Verlag},
      reportid     = {RWTH-2024-06309},
      isbn         = {978-3-98555-212-2},
      series       = {Schriftenreihe Rationalisierung},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Druckausgabe: 2024. - Auch veröffentlicht auf dem
                      Publikationsserver der RWTH Aachen University. - Weitere
                      Reihe: Edition Wissenschaft Apprimus; Dissertation, RWTH
                      Aachen University, 2024},
      abstract     = {The objective of this dissertation is to develop a
                      procedure for the risk-based design of subscription models.
                      The results of this work enable companies to develop
                      subscription models and to optimize opportunities and
                      threats according to the company's constraints. The basis
                      for this work is laid by ten case studies. Based on the case
                      studies, design and influencing variables for subscriptions
                      models were derived. Design variables are variables that can
                      be changed by the provider in order to design the
                      subscription model. Influencing variables, in turn,
                      represent variables from the provider's environment that can
                      have an influence on the attractiveness or success of a
                      subscription model. Unlike design variables, influencing
                      variables cannot be influenced by the provider, or can only
                      be influenced with difficulty. They therefore represent
                      fixed constraints that must be taken into account when
                      designing and planning a subscription model. In the context
                      of this work, the term "risk" was used to describe the
                      ambivalent view of risk as both a danger and an opportunity.
                      Consequently, dangers and opportunities of subscription
                      models were described. These dangers and opportunities are
                      to be seen in close context with the set-up of the
                      subscription model as well as company’s constraints. In
                      describing the risks, reference was made to the previously
                      described design and influencing variables. Each opportunity
                      or risk described refers to those characteristic design and
                      influencing variables that represent the basis for the
                      respective danger or opportunity. By taking risks, a
                      strategic advantage can be gained even in a saturated
                      market, where differentiation via the product alone is
                      becoming increasingly difficult. Differentiation is
                      increasingly less about innovative products alone, but more
                      about the effective and efficient use of these products to
                      solve customer problems. The methodology that was developed
                      serves the support of the user for the conversion of
                      contents of this dissertation. The intended user of the
                      methodology is a company of the mechanical and plant
                      engineering industry, which is in the conception phase of a
                      subscription model. In the course of the methodology, the
                      finding of this thesis are integrated and applied in a
                      stringent sequence of activities for a risk-based design of
                      subscription models.},
      cin          = {420910 / 417210 / 417200},
      ddc          = {620},
      cid          = {$I:(DE-82)420910_20140620$ / $I:(DE-82)417210_20140620$ /
                      $I:(DE-82)417200_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2024-06309},
      url          = {https://publications.rwth-aachen.de/record/988609},
}