@incollection{BensbergBuscherCzarnecki2019,
  author    = {Bensberg, Frank and Buscher, Gandalf and Czarnecki, Christian},
  title     = {Digital transformation and IT topics in the consulting industry: a labor market perspective},
  series = {Advances in consulting research : recent findings and practical cases},
  booktitle = {Advances in consulting research : recent findings and practical cases},
  editor    = {Nissen, Volker},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-95998-6},
  doi       = {10.1007/978-3-319-95999-3_16},
  pages     = {341 -- 357},
  year      = {2019},
  abstract  = {Information technologies, such as big data analytics, cloud computing, cyber physical systems, robotic process automation, and the internet of things, provide a sustainable impetus for the structural development of business sectors as well as the digitalization of markets, enterprises, and processes. Within the consulting industry, the proliferation of these technologies opened up the new segment of digital transformation, which focuses on setting up, controlling, and implementing projects for enterprises from a broad range of sectors. These recent developments raise the question, which requirements evolve for IT consultants as important success factors of those digital transformation projects. Therefore, this empirical contribution provides indications regarding the qualifications and competences necessary for IT consultants in the era of digital transformation from a labor market perspective. On the one hand, this knowledge base is interesting for the academic education of consultants, since it supports a market-oriented design of adequate training measures. On the other hand, insights into the competence requirements for consultants are considered relevant for skill and talent management processes in consulting practice. Assuming that consulting companies pursue a strategic human resource management approach, labor market information may also be useful to discover strategic behavioral patterns.},
  language  = {en}
}
@incollection{BensbergAuthCzarnecki2021,
  author    = {Bensberg, Frank and Auth, Gunnar and Czarnecki, Christian},
  title     = {Finding the perfect RPA match : a criteria-based selection method for RPA solutions},
  series = {Robotic process automation : Management, technology, applications},
  booktitle = {Robotic process automation : Management, technology, applications},
  editor    = {Czarnecki, Christian and Fettke, Peter},
  publisher = {De Gruyter},
  address   = {Oldenbourg},
  isbn      = {978-3-11-067677-8},
  doi       = {10.1515/9783110676693-201},
  pages     = {47 -- 75},
  year      = {2021},
  abstract  = {The benefits of robotic process automation (RPA) are highly related to the usage of commercial off-the-shelf (COTS) software products that can be easily implemented and customized by business units. But, how to find the best fitting RPA product for a specific situation that creates the expected benefits? This question is related to the general area of software evaluation and selection. In the face of more than 75 RPA products currently on the market, guidance considering those specifics is required. Therefore, this chapter proposes a criteria-based selection method specifically for RPA. The method includes a quantitative evaluation of costs and benefits as well as a qualitative utility analysis based on functional criteria. By using the visualization of financial implications (VOFI) method, an application-oriented structure is provided that opposes the total cost of ownership to the time savings times salary (TSTS). For the utility analysis a detailed list of functional criteria for RPA is offered. The whole method is based on a multi-vocal review of scientific and non-scholarly literature including publications by business practitioners, consultants, and vendors. The application of the method is illustrated by a concrete RPA example. The illustrated structures, templates, and criteria can be directly utilized by practitioners in their real-life RPA implementations. In addition, a normative decision process for selecting RPA alternatives is proposed before the chapter closes with a discussion and outlook.},
  language  = {en}
}