Dr. Jentsch Christian

M.Sc. - Wirtschaftsinformatiker

Christian Jentsch ist wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftsinformatik, insb. Informationssysteme in Dienstleistungsbereichen der Otto-Friedrich-Universität Bamberg. Nach seinem Bachelorabschluss in Business Administration and Economics an der Uni Passau (2007 – 2010) absolvierte Herr Jentsch Anfang 2013 sein Masterstudium in Wirtschaftsinformatik an der Otto-Friedrich Universität in Bamberg.
Schwerpunkte seiner Forschungsthemen setzten sich insbesondere aus Outsourcing- und Alignmentspezifischen Fragestellungen zusammen. In seinem Dissertationsvorhaben widmet sich Herr Jentsch der Frage, welche konkreten Aspekte in einem gemeinsamen Verständnis zwischen IT- und Fachabteilung den Erfolg der Beziehung grundlegend bestimmen. In seinen bisherigen Forschungsarbeiten konnte Herr Jentsch zeigen, dass hier wichtiger Forschungsbedarf besteht und dass beispielsweise bisherige Messungen in diesem Bereich unzureichende und teilweise sogar fragwürdige Ergebnisse lieferten. Diese Arbeit wurde auf der Academy of Management 2014 in den Best Paper Proceedings gewürdigt. In mehreren empirischen Langzeitstudien in verschiedenen Unternehmen untersuchte Herr Jentsch darüber hinaus die Potenziale von (meist agilen) IT-Managementmaßnahmen auf die Entwicklung des Verständnisses, sowie dessen Auswirkungen auf den Projekterfolg. Dabei wurden wichtige Erkenntnisse zur zeitlich gebundenen Relevanz einzelner IT-Managementmaßnahmen, sowie Risiken und Chancen eines gemeinsamen Verständnisse in IT-Teams geschaffen. Im Rahmen seiner Forschungstätigkeiten arbeitet Herr Jentsch im folgenden Forschungsprojekt:

In der Lehre unterstützt Herr Jentsch die Veranstaltung „International Outsourcing Management“ und betreut studentische Seminar- und Abschlussarbeiten. Darüber hinaus ist Herr Jentsch federführend für das fakultätseigenen Career Centers verantwortlich und ist Mitarbeiter des Auslandsbeauftragten der Fakultät.

Ausgewählte Veröffentlichungen

Jentsch, C., Beimborn, D., Jungnickl, C., and Renner, G. (2014)
How to Measure Shared Understanding among Business and IT
Proceedings of the 2014 Academy of Management Conference, Philadelphia (PA)
Best Paper Proceedings

View Abstract
A high level of shared understanding between business and IT is a critical success factor for effective IT usage in organizations. Hence, many studies in the Information Systems field have included shared business/IT understanding as a determinant in their research models. Most studies use a very compact instrument, measuring, typically, a one-dimensional construct that only addresses single facets of the overall concept. While most of these studies fulfill statistical validation requirements, content validity of the construct is seldom addressed. In this paper, we propose that more cognitive methods are needed to develop measures for complex constructs like shared understanding. The goal of our study is the development of a content validity proven survey instrument that measures the degree of shared business/IT understanding in a multi-faceted manner. In this paper, we adopt an innovative method of content validation by comparing survey results with data from a cognitive measurement approach (Repertory Grid Technique). We provide results from two studies: one experiment with students and a pilot field study with practitioners. After further refinements, the resulting instrument can support research on shared business/IT understanding and practitioners who aim at monitoring the relationship between business and IT units in their organizations.

Jentsch, C. and Beimborn, D. (2014)
Shared Understanding Among Business and IT - A Literature Review and Research Agenda
Proceedings of the European Conference on Information Systems (ECIS), Tel Aviv, Israel

View Abstract
Researchers have acknowledged that shared understanding between business and IT is a crucial factor to achieve high performing teams, well aligned units, and superior business value of IT. In addition, they agree, that this determinant of social alignment is very complex and difficult to govern. However, a goal-oriented governance will only be possible if the target is clearly and adequate defined. In this paper, we will provide a structured review of the IS literature addressing the question how shared business/IT understanding has been conceptualized and used in the various fields of our research community. We identify strong differences between and within these research domains regarding the conceptualization. Primarily, we find that most of the papers just analyze single aspects of shared understanding but miss the "big picture". Our findings can point researchers to potential lacks of conceptualization of Business/IT Shared Understanding in their research domain and will help to cross borders among different research strands, which all will potentially profit from a more holistic and comprehensive investigation of shared business/IT understanding and its role for effective collaboration among business and IT.

Jentsch, C., Schlosser, F., and Beimborn, D. (2014)
From Strategic to Operational Collaborations: The Divergent Nature of Business/IT Shared Understanding
Proceedings of the 20th Americas Conference on Information Systems (AMCIS), Savannah (GA)

View Abstract
The success of any business/IT collaboration depends on the shared understanding between business and IT professionals (B/IT-SU) on all organizational layers. However, most research on B/IT-SU merely focuses either on top management level or information system development (ISD) teams. This isolated research led to divergent conceptualizations of B/IT-SU. While studies on strategic collaboration concentrate on B/IT-SU of the objectives or the role of IT, ISD research postulates shared language as main B/IT-SU component. In this paper, we build on major findings of B/IT-SU research, and develop an integrated concept of the relevant dimensions that should be studied conjointly to provide a more consistent view of B/IT-SU. Furthermore, we discuss our concept from three perspectives: (1) strategic collaboration; (2) project collaboration; and (3) operational collaboration. The results provide insights into the key dimensions of B/IT-SU in regard to the distinctive hierarchical layer, respectively, and serve as initial foundation for further investigations of B/IT-SU.