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Mindful Engagement in Emerging IT Innovations : A Dynamic Optimization Model Considering Organizational Learning in IT Innovation Investment Evaluation

Titelangaben

Häckel, Björn ; Lindermeir, Andreas ; Moser, Florian ; Pfosser, Stefan:
Mindful Engagement in Emerging IT Innovations : A Dynamic Optimization Model Considering Organizational Learning in IT Innovation Investment Evaluation.
In: The Database for Advances in Information Systems. Bd. 48 (2017) Heft 1 . - S. 53-74.
ISSN 1532-0936
DOI: https://doi.org/10.1145/3051473.3051477

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Angaben zu Projekten

Projekttitel:
Offizieller ProjekttitelProjekt-ID
Projektgruppe WI IT-gestütztes FinanzmanagementOhne Angabe

Abstract

Companies regularly have to decide whether, when, and to what extent to invest in IT innovations with different maturities. Together with mature IT innovations, companies should incorporate emerging IT innovations in their investment strategy. Emerging IT innovations have not yet been widely accepted. Thus, they are characterized by higher uncertainty about their future evolution but have potentially high long-term returns. To enable mindfulness in these decision-making processes, the literature emphasizes organizational learning through continuous engagement in IT innovations to enhance a company’s ability to understand, successfully adopt, and implement emerging IT innovations. IT innovation literature so far has focused on qualitative work, but lacks of quantitative models for the analysis of ex-ante investment decisions. Therefore, we develop a dynamic optimization model that determines the optimal allocation of an IT innovation budget to mature and emerging IT innovations, considering the impact of organizational learning. Based on our model, we examine relevant causal relationships by analyzing the influence of uncertainty, a company’s initial individual innovativeness, and the market’s average investment share on the optimal engagement. We find that companies should always invest at least a small portion of their budget in emerging IT innovations, regardless of their actual innovativeness. Our results offer new insights into the crucial determinants of investment decisions and provide the basis for future quantitative research on emerging IT innovations.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: IT Innovation Investment Evaluation; Technology Adoption; Strategic Information Systems; Organizational Learning; Emerging IT Innovations; Simulation
Institutionen der Universität: Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre
Forschungseinrichtungen
Forschungseinrichtungen > Institute in Verbindung mit der Universität
Forschungseinrichtungen > Institute in Verbindung mit der Universität > Projektgruppe Wirtschaftsinformatik der Fraunhofer FIT
Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Kernkompetenzzentrum Finanz- & Informationsmanagement
Fakultäten
Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
Eingestellt am: 09 Jan 2018 09:54
Letzte Änderung: 07 Mai 2018 12:25
URI: https://eref.uni-bayreuth.de/id/eprint/41561