Large, generalist, technology firms-so-called "big-tech" firms-powerful in their primary market, routinely enter secondary markets consisting of specialist firms. Naturally, one might expect a specialist firm to be fiercely protective of its data as a way to maintain its market position in the...

Large, generalist, technology firms—so-called "big-tech" firms—powerful in their primary market, routinely enter secondary markets consisting of specialist firms. Naturally, one might expect a specialist firm to be fiercely protective of its data as a way to maintain its market position in...

We study a hybrid marketplace where a vertically integrated platform competes with a seller in a horizontally differentiated downstream market. The platform has a data advantage and can price discriminate consumers, whereas the seller cannot. Our analysis shows that, by properly setting the...

This article intends to provide a framework to better understand the economic problems and legal challenges resulting from the transition of the European economy to a data economy. We discuss some policy concerns surrounding the data economy, such as concentration in the data economy,...

Data intermediation services are a novel class of services mitigating various aspects of inter-organizational data sharing. Facilitating data intermediation services is a pivotal activity that leverages the benefits of the data economy. These services are usually provided by so-called data...

Industrial data ecosystems are inter-organizational forms of cooperation emerging around sharing data. They arise from a digital infrastructure, giving data providers and data users a platform to share and (re-)use data. Data spaces are among the digital infrastructures frequently associated...

Large, generalist, technology firms-so-called "big-tech" firms-powerful in their primary market, routinely enter secondary markets consisting of specialist firms. Naturally, one might expect a specialist firm to be fiercely protective of its data as a way to maintain its market position in the...

Large, generalist, technology firms-so-called "big-tech" firms-powerful in their primary market, routinely enter secondary markets consisting of specialist firms. Naturally, one might expect a specialist firm to be fiercely protective of its data as a way to maintain its market position in the...

We study a hybrid marketplace where a vertically integrated platform competes with a seller in a horizontally differentiated downstream market. The platform has a data advantage and can price discriminate consumers, whereas the seller cannot. Our analysis shows that, by properly setting the...

Purpose This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related...

Purpose German (corporate-) real estate management departments have been facing the challenge of poor data quality for years. This holds them back from generating efficiency potentials via the use of new methods from the field of digitalisation and from coping with the increasing requirements...

Data brokers share consumer data with rivals and, at the same time, compete with them for selling. We propose a “co-opetition” game of data brokers and characterise their optimal strategies. When data are “sub-additive” with the merged value net of the merging cost being lower than the...

Data brokers collect, manage, and sell customer data. We propose a simple model, in which data brokers sell data to downstream firms. We characterise the optimal strategy of data brokers and highlight the role played by the data structure for co-opetition. If data are “sub-additive”, with...

Algorithmic learning gives rise to a data-driven network effects, which allow a dominant platform to reinforce its dominant market position. Data-driven network effects can also spill over to related markets and thereby allow to leverage a dominant position. This has led policymakers to propose...

The car-sharing market is changing at a dynamic pace. Along with changes and new user habits, car-sharing systems are required to make this market even more accessible and flexible. This solution is possible due to the joining of Mobility-as-a-Service (MaaS) systems and the sharing of data, as...

The shared mobility services market is growing and changing very rapidly. Many novelties are introduced to the systems, ranging from improvements to the services already offered to services referred to as innovative. Since the following years are to bring significant development of mobility as a...

Clients may feel trapped into sharing their private digital data with insurance companies to get a desired insurance product or premium. However, private insurance must collect some data to offer products and premiums appropriate to the client’s level of risk. This situation creates tension...

Digital Twins offer considerable potential for cross-company networks. Recent research primarily focuses on using Digital Twins within the limits of a single organization. However, Shared Digital Twins extend application boundaries to cross-company utilization through their ability to act as a...

Purpose: Organizations evolve from using and governing data internally towards the exchange of data in multi-organizational data ecosystems. The purpose of this research is to determine a business model framework for actors operating in and/or entering a data ecosystem. Methodology: To determine...

The car-sharing market is changing at a dynamic pace. Along with changes and new user habits, car-sharing systems are required to make this market even more accessible and flexible. This solution is possible due to the joining of Mobility-as-a-Service (MaaS) systems and the sharing of data, as...

The shared mobility services market is growing and changing very rapidly. Many novelties are introduced to the systems, ranging from improvements to the services already offered to services referred to as innovative. Since the following years are to bring significant development of mobility as a...

Purpose Budgeting data curation tasks in research projects is difficult. In this paper, we investigate the time spent on data curation, more specifically on cleaning and documenting quantitative data for data sharing. We develop recommendations on cost factors in research data management....

B2B data sharing and re-use can be generally understood as making data available to or accessing data from other companies for business purposes. As detailed in this report, data sharing in a business-to-business context can take different forms: from unilateral to more collaborative approaches,...