Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform

As the world population is getting older, healthcare expenditure in many countries are increased due to the fact that more people become vulnerable to various health problems. Because of this, elderly people are encouraged to live independently in their own home as long as possible. Promoting independence to elderly people will not be possible...

Digital healthcare technology adoption by elderly people: A capability approach model

Digital technologies, such as online healthcare portals, enable elderly people to live independently at home for a longer period of time. Independent living, in this context, refers to the freedom elderly people have to live their lives in ways that they find important. Borrowing from the capability approach (CA) framework from Nobel Prize...

Towards Generic Business Models of Intermediaries in Data Collaboratives: From Gatekeeping to Data Control

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...

Platformization of data sharing: Multi-party computation (MPC) as control mechanism and its effect on firms' participation in data sharing via data marketplaces

Data sharing facilitated by data marketplaces enable companies to generate meaningful insights and discover new opportunities. However, enterprises are reluctant to share data over platforms due to lack of trust, fear of losing control over data and concerns regarding privacy violations. Multi-party computation (MPC) is a cryptographic technique...

Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation

Privacy-preserving technologies could allow data marketplaces to deliver technical assurances to companies on data privacy and control. However, how such technologies change the business model of data marketplaces is not fully understood. This paper aims to bridge this gap by focusing on multi-party computation (MPC) as a cryptographic...

Business Data Sharing through Data Marketplaces: A Systematic Literature Review

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...

Business Data Sharing through Data Marketplaces: A Systematic Literature Review

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...

Rethinking consumers' data sharing decisions with the emergence of multi-party computation: An experimental design for evaluation

Consumers are increasingly reluctant to share their personal data with businesses due to mounting concerns over privacy and control. Emerging privacy-enhancing technologies like multi-party computation (MPC), which allows generating insights while consumers retain data control, are challenging the current understanding of why consumers share...

It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing

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...

The Openness of Data Platforms: A Research Agenda

Data platforms are the keystone of the data economy. When opened up, data platforms allow data owners, data consumers and third parties to interact. Yet, openness may also harm business and societal interests. Literature on platform openness does not cover data platforms, and data economy scholars rarely study platform openness. Therefore, this...

The Anatomy of Circular Economy Monitoring through the Lens of Border Crossing and Levels of Control

In this paper, we propose a framework for circular economy monitoring by looking at the issue of border crossing and levels of control.

Toward sovereign data exchange through a meta-platform for data marketplaces: A preliminary evaluation of the perceived efficacy of control mechanisms

The landscape of platform ecosystems is becoming increasingly complex, with new types of platforms emerging that glue together otherwise fragmented ecosystems. One recent case is metaplatforms that can contribute to the European Data Economy by interconnecting data marketplaces; however, meta-platforms may intensify data sovereignty concerns:...

Multi-Party Computation as a Privacy-Enhancing Technology: Implications for Data Sharing by Businesses and Consumers

Data sharing through data marketplaces, which rely on a Trusted Third Party (TTP), can benefit businesses and society. However, many companies and consumers are increasingly reluctant to share data due to mounting concerns over data control and privacy. Emerging privacy-enhancing technologies (PETs) like Multi-Party Computation (MPC), which...