International Journal of Real Options and Strategy
Online ISSN : 2186-4667
ISSN-L : 2186-4667
Volume 7
Displaying 1-2 of 2 articles from this issue
Theoretical Paper
  • Robin Schneider, Junichi Imai
    2019 Volume 7 Pages 1-26
    Published: 2019
    Released on J-STAGE: December 20, 2019
    JOURNAL FREE ACCESS

    The digital economy represents major challenges for established corporations around the world. To succeed in this rapidly changing environment, it is no longer sufficient to compete by incremental product or process innovation. Achieving sustainable competitive advantage requires managers to exploit the disruptive potential of emerging technologies to transform business models, value chains or entire markets. We define Digital Transformation of Business Models (DTBM) as a radical Business Model Innovation (BMI) driven by digital technology. It is a necessary tool to adapt established businesses to the paradigmatic shifts induced by the digital economy. In this context, managers are facing the challenging task of identifying and making the right investment decisions. Standard project valuation models such as Discounted Cash Flow (DCF) methods do not suffice in coping with the uncertainty surrounding the strategic nature of DTBM projects. Many scholars postulate Real Option Analysis (ROA) to be applied as a sophisticated alternative for investment decision-making under uncertainty. However, existing research tells us little about how to apply ROA to BMI or DTBM. In this paper, we present a first generic approach to applying ROA to value investments in DTBM. We include two types of managerial flexibility by a analyzing a compound learning option and a Bermudan-style option to expand from a pilot project into a large-scale DTBM. We consider four sources of uncertainty and show that the value of managerial flexibility is particularly high in DTBM projects, leading to potential shifts investment decisions. This paper is aiming to highlight the importance of this area, apply existing real options models to the DTBM setting and lay the foundations for future research.

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