Alexander Krumer
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Krumer
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  • Publication
    Why Specialized Service Ecosystems Emerge-the Case of Smart Parking in Germany
    ( 2023-11-25)
    Zimmermann, Sina
    ;
    Schulz, Thomas
    ;
    Hein, Andreas orcid-logo
    ;
    Alexander, •
    ;
    Kaus, Felix
    ;
    Gewald, Heiko
    ;
    Helmut Krcmar, •
    Traffic caused by drivers searching for a free parking space has numerous negative effects, such as increased emissions and noise pollution. Innovative solutions can reduce these negative effects by providing car drivers with better information via a smart parking app. However, smart parking apps currently do not offer overarching solutions which support the entire parking process. Utilizing a service-dominant logic perspective, we examine why such overarching solutions do not emerge, whereas specialized ecosystems flourish. We follow a multiple case study approach and conduct qualitative interviews with three app providers and fourteen associated parking operators in Germany. Our results show how conflicting institutional arrangements at the micro, meso, and macro context levels lead to specialization. Our study deepens the understanding of how conflicting institutional arrangements affect the emergence of service ecosystems, drawing practical recommendations to overcome specialized smart parking apps in favor of overarching solutions.
    Type: journal article
    Journal: Information Systems Frontiers
    DOI: 10.1007/s10796-023-10453-y
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/119418
    Scopus© Citations 1
  • Publication
    Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues
    ( 2019-06)
    Goller, Daniel
    ;
    Krumer, Alexander
    Balancing the allocation of games in sports competitions is an important organizational task that can have serious financial consequences. In this paper, we examine data from 9,930 soccer games played in the top German, Spanish, French, and English soccer leagues between 2007/2008 and 2016/2017. Using a machine learning technique for variable selection and applying a semi-parametric analysis of radius matching on the propensity score, we find that all four leagues have a lower attendance as the share of stadium capacity in games that take place on non-frequently played days compared to the frequently played days. In addition, we find that in all leagues except for the English Premier League, there is a significantly lower home advantage for the underdog teams on non-frequent days. Our findings suggest that the current schedule favors underdog teams with fewer home games on non-frequent days. Therefore, to increase the fairness of the competitions, it is necessary to adjust the allocation of the home games on non-frequent days in a way that eliminates any advantage driven by the schedule. These findings have implications for the stakeholders of the leagues, as well as for coaches and players.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/98599
  • Publication
    Type: working paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/105021