Mark de Reuver's research while affiliated with Delft University of Technology and other places

Publications (17)

Article
Full-text available
Firms are often reluctant to share data because of mistrust, concerns over control, and other risks. Multi-party computation (MPC) is a new technique to compute meaningful insights without having to transfer data. This paper investigates if MPC affects known antecedents for data sharing decisions: control, trust, and risks. Through 23 qualitative i...
Article
Full-text available
Purpose Information and digital literacy have recently received much interest, and they are being viewed as critical strategic organisational resources and skills that employees need to obtain in order to function at their workplaces. Yet, the role of employees' literacy seems to be neglected in current literature. This paper aims to explore the ro...
Article
Full-text available
Data marketplaces are expected to play a crucial role in tomorrow’s data economy, but such marketplaces are seldom commercially viable. Currently, there is no clear understanding of the knowledge gaps in data marketplace research, especially not of neglected research topics that may advance such marketplaces toward commercialization. This study pro...
Article
Business model experimentation is an essential step for developing new business models. While the benefits of business model experimentation are increasingly studied, it is still poorly understood why companies engage in business model experimentation. This paper examines, starting from environmental turbulence reasoning, which external and interna...
Conference Paper
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Data marketplaces can fulfil a key role in realizing the data economy by enabling the commercial trading of data between organizations. Although data marketplace research is a quickly evolving domain, there is a lack of understanding about data marketplace business models. As data marketplaces are vastly different, a taxonomy of data marketplace bu...
Article
Purpose Existing overviews of barriers for openly sharing and using government data are often conceptual or based on a limited number of cases. Furthermore, it is unclear what categories of barriers are most obstructive for attaining open data objectives. This paper aims to categorize and prioritize barriers for openly sharing and using government...
Article
Business models (BMs) help firms to translate abstract strategic decisions into their daily operations. Because BMs mediate between strategy and operations, BM innovation involves both high-level strategic experiments and low-level implementation into operations and technologies. However, most existing empirical studies regarding BM innovation focu...
Conference Paper
Data marketplaces are expected to play a crucial role in tomorrow’s data economy but hardly achieve commercial exploitation. Currently, there is no clear understanding of the knowledge gaps in data marketplace research, especially neglected research topics that may contribute to advancing data marketplaces towards commercialization. This study prov...
Article
Full-text available
In this paper, we argue that the characteristics of digital platforms challenge the fundamental assumptions of value sensitive design (VSD). Traditionally, VSD methods assume that we can identify relevant values during the design phase of new technologies. The underlying assumption is that there is only epistemic uncertainty about which values will...
Chapter
Data has become a core asset, as well as a “management fashion”, of our time. It brings about unprecedented opportunities for data-driven decision making and innovation in various spheres of public life. This concerns data held by governments, as well as companies, academic institutions, non-profits, and citizens. In our study we investigate a nove...
Article
This paper analyses how three facets of platform openness explain complementor participation in the video game console industry. Three facets are considered boundary resources, exclusive content, and the breadth of content offerings. This study focusses on the number of complementors rather than complements and makes a first attempt to measure plat...
Conference Paper
In the future, every successful company must have a clear idea of what data means to it. The necessary transformation to a data-driven company places high demands on companies and challenges management, organization and individual employees. In order to generate concrete added value from data, the collaboration of different disciplines e.g. data sc...
Article
Full-text available
Open access: https://link.springer.com/article/10.1007/s12525-020-00424-5 This special issue bundles a series of papers on business model tooling. Business model tools are methods, frameworks or templates to facilitate communication and collaboration regarding Business Model analysis, (re-)design, adoption, implementation and exploitation. In this...
Article
Full-text available
Business model tools are commonly used to describe and communicate business model ideas. However, studies do not sufficiently address whether and how business model tools support the early, exploratory phase in which new business models are initiated, conceptualized, assessed and planned. In this exploratory phase, offerings and addressable markets...
Article
Full-text available
In this paper, we analyze how to orchestrate platform ecosystems in order to ensure the commercialization of constant flows of innovations. We focus on platform-owners and how they orchestrate the coupling process between the innovation part of the ecosystem and the business development part of the ecosystem. We apply a life-cycle perspective, anal...
Article
Internet-of-Things (IoT) devices produce massive amounts of data, which are especially valuable when shared between businesses. However, adoption of platforms that facilitate IoT data sharing is still low. Generic literature on interorganizational systems suggests a plethora of adoption factors, but typically focuses on data sharing between pairs o...
Chapter
This chapter shows a step-wise approach for a social network analysis study. It presents a case study that concerns the innovation network for Internet video in the Netherlands. The chapter introduces social network analysis as a tool to model and investigates the relations between actors and the way in which these relations structure and influence...

Citations

... Our research could also benefit intermediary platforms that facilitate data sharing. As pointed out by Abbas et al. (2021), MPC could affect the value proposition of those platforms by (1) enabling sharing and computation of data insights without disclosing the input data; and (2) affording control over data without a trusted third party. Our study provides empirical evidence that MPC could address control, trust, and risk issues in data sharing, which are challenges that data sharing platforms struggle to deal with (M. ...
... As Foss and Saebi (2017) note, the close connection between BM and BMI has compelled some scholars to reject distinct theory for BMI. However, BMI enjoys its own boundary conditions including scope of change (Amit and Zott, 2012;Yunus et al., 2010), antecedents (Teece, 2018;Molina-Castillo et al., 2021), and intended outcomes (Foss and Saebi, 2017), which support its characterization as a stand-alone construct. Interestingly, mixed results can be found on BMI outcomes. ...
... From an academic perspective, recent trends in the European Union policy-making agendas have led to increased studies on business data sharing via data marketplaces, resulting in a constantly expanding yet fragmented body of literature. Recent research provides an understanding of the state-of-the-art in practice via business model studies (e.g., Fruhwirth, Rachinger and Prlja [2], van de Ven et al. [7]), but it does not provide a comprehensive overview of data marketplace research in academia. Consequently, knowledge gaps in data marketplace research remain unclear. ...
... The sample included only respondents with experience using OGD, and approximately 75% had used OGD for five years or more. Although studies have found repeated barriers to proper OGD use (e.g., [43][44][45]), many people have enjoyed using OGD and use it to create useful applications [46] or participate in open data innovation [47]. Trust is generally built through experience: in this study, the experience OGD users had developed through repeated use of OGD shaped their trust in it [3,4]. ...
... This finding responds to Bouwman et al.'s (2020) call for empirical research on BM experimentation and enriches existing BMI literature. The result is in line with Verhagen et al. (2021) research, however, it is in contrast to prior research conducted by Brunswicker et al. (2013), Bocken et al. (2016), and Sosna (2010), who revealed that BM-experimentation helps firms to test assumptions and hypothesized outcome through empirical observations such as usage data and market share and leads to superior performance. Although BMexperimentation does not moderate the relationship between BMI and SME's performance, an additional multi-group analysis reveals that BM-experimentation positively moderates the relationship in the sub-samples of BM-tooling users. ...
... Also, considering open data ecosystems, such as OpenStreetMap 1 and Wikidata 2 , there may also be a potential for catalyzing both the sharing and adoption of OGD by extending collaboration to include open development of boundary resources [5] such as related standards and software as OSS [16,34,41]. As we consider current definitions of data ecosystems [31] (including related concepts [40]) lacking in terms of these characteristics, we define a data ecosystem, adapted from three sources [18,31,41], as: a networked community of actors (organizations and individuals), which base their relations to each other on a common interest [41], supported by an underpinning technological platform [18] that enables actors to process data (for example, find, archive, publish, consume, or reuse) as well as to foster innovation, create value, or support new businesses [31]. Actors collaborate on the data and boundary resources (for example, software and standards), through the exchange of information, resources, and artifacts [18]. ...
... Therefore, the proposed generic ecosystem and its roles build a blueprint for firms that pursue the strategy to orchestrate the evolvement of the AM technology due to their leadership role (Adner, 2017) in specific application domains and support the creation of sub ecosystems for distinctive AM applications. This evolution is similar to that described by (Isckia et al., 2020), except that sub ecosystems emerge identified using different AM applications with determinants similar to those in the generic ecosystem. Our second implication aims to provide insights on the emergence of leadership strategies with orchestration power in the AM domain. ...
... Relevant work occurred in the fields of datadriven service innovation or business modeling: On the one hand, a few tools support in the inspiration phase to understand available data assets as an important resource for new services. This work includes the data canvas [14], the data collection map [48], data service cards [49], the data sphere [50] and customer data mapping [51]. The data collection map and customer data mapping also assist in deriving customer Page 1823 knowledge based on (personal) data, but they do not match the resulting customer understanding with the design of value propositions. ...
... Moreover, the process can be supported with software tools. Here, most software tools in practice focus on the visualization of the BMC [80], while software tools in research also cover different aspects of decision support [13]. ...
... Literature reasoned that business model development is often a collaborative task [73], where different stakeholders interact during the different phases [6], like the phase of idea generation [20]. In general, there is a division between the internal and external stakeholders of a company [73] and the synchronous and asynchronous collaboration [80]. ...