Per­so­nen­ver­zeich­nis

 Christian Bremser

Christian Bremser

Fachbereich Wirtschaft | Professuren | Professur Piller, G.
Vertretungsprofessor

Hochschule Mainz
Christian Bremser
Lucy-Hillebrand-Straße 2
55128 Mainz

+49 6131 628-93302

nach Vereinbarung

Vita

seit 02/2019

Vertretungsprofessur, Hochschule Mainz

seit 01/2012

Aktuar im Zentralen Aktuariat Komposit, R+V Versicherung AG

12/2015 - 01/2019

Wissenschaftlicher Mitarbeiter, Hochschule Mainz 

Promotion in Kooperation mit der Johannes Gutenberg Universität Mainz

Publikationen

06/2018

Starting Points for Big Data Adoption 

As part of an advancing digitization, many enterprises feel the need to explore the possibilities big data may provide for their business. However, only a few companies use big data applications productively, despite its high expected potential. How companies examine the possibilities of big data, is therefore a highly interesting and relevant question. Based on a multiple case study we identify three different approaches and factors that influence the choice of approach: Companies either initially focus entirely on business aspects, or on a systematic build-up of a big data technology and data platform. Innovation adoption research is used as a theoretical basis.

05/2018

How to start with big data 

As part of an advancing digitalization, many enterprises feel the need to explore the possibilities big data may provide for their business. However, only a few companies use big data applications productively, despite its high expected potential. How companies examine the possibilities of big data, is therefore a highly interesting and relevant question. Based on a multiple case study we identify three different approaches: Companies either initially focus entirely on business aspects, or on a systematic build-up of a big data technology and data platform. Innovation adoption research is used as a theoretical basis.

03/2018

A Comparison of Smart City Development and Big Data Analytics Adoption Approaches 

This paper intends to elucidate the similarities between smart city development and big data analytics adoption. Both concepts promise new opportunities: smart cities to improve citizens’ life quality and big data analytics to drive companies towards the competitive edge. Consequently, the number of organisational big data initiatives and efforts to implement smart city concepts are increasing. In the context of big data analytics adoption, it could be shown that there are two distinct approaches companies follow. They either focus on the search for potential use cases or on the development of a technology infrastructure. Based on a comparison of various smart city and big data analytics use cases, this paper discloses that both of these approaches either concentrate on developing new service development or providing the required infrastructures for future services.

03/2018

Vorgehensweisen zur Einführung von Big Data in Unternehmen 

Im Zuge einer fortschreitenden Digitalisierung versprechen sich viele Unternehmen durch die Einführung von Big-Data-Technologien neue Möglichkeiten, Daten geschäftswirksam einzusetzen. Allerdings nutzen nur wenige Firmen Big-Data-Anwendungen produktiv, trotz ihres vermuteten hohen Potenzials. Auf welche Art und Weise Unternehmen die Möglichkeiten von Big Data untersuchen, ist die zentrale Fragestellung der vorliegenden Arbeit. Im Rahmen einer multiplen Fallstudie werden drei verschiedene Vorgehensweisen identifiziert. Unternehmen konzentrieren sich zuerst entweder auf rein betriebswirtschaftliche Aspekte, oder auf einen systematischen Aufbau einer Big-Data-Technologie- und Datenplattform. Als theoretische Basis dient die Innovationsadoptionsforschung.

08/2017

Strategies and Influencing Factors for Big Data Exploration 

Many enterprises feel the need to explore the possibilities big data may provide for their business. However, they hesitate to apply big data, as they are unsure how to successfully identify new opportunities. We analyze in a multiple case study how companies start to investigate big data applications. Based on these case studies, we find two generic strategies companies tend to follow. These strategies focus either on the search for potential business opportunities or on the need to develop technology infrastructure. In order to understand the strategy selection, we utilize the Technology-Organization-Environment (TOE) framework. Our findings are twofold. First, we identify factors that influence the choice of strategy. Second, we identify the factors that influence the initiation phase of big data adoption within a chosen strategy.

Forschung & Projekte

seit 12/2015

Strategien zur Einführung von IT-getriebenen Innovationen

Die Digitale Transformation stellt Organisationen vor die Herausforderung mit ein immer schneller voranschreitenden technologischen Entwicklung Schritt zu halten. Im Rahmen dieser Forschungsarbeit werden die beiden Megatrends Big Data und Smart City untersucht. Insbesondere werden die Strategien zur Einführung von Big Data in Unternehmen und die Technologieeinführung in Smart Cities erforscht.

01/2012 - 08/2013

Untersuchung von Anwendungsfällen zu Behavioral Pricing & Competitor Pricing

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