Recent technological advances have enabled the emergence of novel business models based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to connect previously unmatched demand-side and supply-side participants through innovative forms of value creation, delivery and capture. While countless firms claim to offer the next 'Airbnb for X' or 'Uber for Y', we lack knowledge about the defining business model characteristics of these marketplaces. To close the gap, this paper provides a conceptually and empirically grounded taxonomy of their business models. Applying a mixed methods approach, it first develops an integrative framework of marketplace business models. Guided by the framework, the research systematically analyzes 100 randomly selected marketplaces with content analysis and binary coding. The gathered data is analyzed with cluster analysis techniques to develop a taxonomy for marketplace business models. The clustering process reveals six clearly distinguishable types of marketplace business models and thus shows that there is no one-size-fits-all approach to creating, delivering, and capturing value with marketplaces and platforms in general. We characterize these distinctive types on basis of the qualitative and quantitative findings. Among others, we find that two of these types are highly aligned with business model characteristics associated with the so-called sharing economy. The findings are discussed against platform, marketplace, and sharing economy literature to contribute to a higher integration of different literature streams that are concerned with similar organizational types and phenomena.

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Previous studies often assume that business model innovation (BMI) is reflected in an entrepreneurial business model design. We assume that business model reconfiguration (BMR) takes place in more nuanced types and does not always lead to (radical) BMI. By undertaking a mixed methods study with 213 respectively 16 SMEs from the electronic industry, we uncover six basically different types of BMRs and discuss their performance implications. By this, we shape the current understanding of BMR and shed light on variety and implications of different types of BMRs. Our configuration study indicates that firms achieve superior performance when implementing a radically new business model reflected in a new configuration of all three components of the business model: value creation, value proposition, and value capture. Second, BMR can take place in types where only some parts of the business model are extensively changed, while others are only slightly adapted.

Business model innovation is by now mainly understood as a strategic option for firms to enhance competitiveness. As a result, business model innovation research usually focuses on outperforming firms that deliberately innovate their business models. We enhance this rather narrow perspective by analysing business model innovation processes of average market players against the background of a multiple‐case study. Our findings show that average market players do at least initially not deliberately pursue business model innovation. Instead, they experience business model innovation as a highly emergent and very often unintended process. We identify four phases of this process and describe them in detail. Furthermore, we highlight factors that determine whether a firm is able to complete the process step or not. The results of our study are reflected in a newly developed process model that considerably enhances the understanding of business model innovation processes with regard to average market players and may serve as framework for future research.

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The Industrial Internet of Things is recently a widely discussed phenomenon. However, business level effects of this phenomenon are by now underresearched. We tackle this research gap by presenting an in-depth analysis of business model changes manufacturing firms employ to adequately react to this technological development. Against the background of a multiple-case study we identify and characterise three archetypes of business models manufacturing firm implement in order to benefit from opportunities provided by the Industrial Internet of Things. Furthermore, we present insights on how firms innovate their extant business model in this context. Thereby, our study considerably contributes to business model research and additionally bolsters up a strategic firm level perspective on the Industrial Internet of Things.

Business model innovation (BMI) has recently become a topic of interest for research as well as corporate practice. However, we lack specific insights into actors, drivers, and different forms of BMI as the concept is by now mainly addressed in a very general way. In this paper, we analyze how BMI takes place in strategic alliances with the focus of enhancing the recent knowledge about BMI by developing a concept that links firm‐level BMI with alliance‐driven innovation of business models. Against the background of an in‐depth explorative qualitative study, we shed light on the basic nature business model innovation alliances (BMIA) and their effects on both, alliance level and firm level. We develop a process model of BMIA that is the first model providing a holistic picture of this particular type of BMI. Our findings allow for deep insights into BMI processes in incumbent companies and uncover in detail the importance of boundary spanning activities in this realm. By providing these insights, we pave the ground for a new stream of BMI research that focuses on the in‐depth understanding of the role of collaboration and network effects in recent BMI processes. In addition, we show practical benefits for partners in BMI alliances. These insights may help to overcome the traditional fear of negative effects that is still very often prevalent in companies when it comes to issues of partnering with firm external players in strategic issues.

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