Search results

The viability of online anonymity is questioned in today’s online environment where many technologies enable tracking and identification of individuals. In light of the shortcomings of the government, industry and consumers in protecting anonymity, it is clear that a new perspective for ensuring anonymity is needed. Where current stakeholders have failed to protect anonymity, some proponents argue that economic models exist for valuation of anonymity. By placing a monetary value on anonymity through Rawls’ concept of primary goods, it is possible to create a marketplace for anonymity, therefore allowing users full control of how their personal data is used. This paper aims to explore the creation of a data marketplace, offering users the possibility of engaging with companies and other entities to sell and auction personal data. Importantly, participation in a marketplace does not sacrifice one’s anonymity, as there are different levels of anonymity in online systems.

The paper uses a conceptual framework based on the abstractions of anonymity and data valuation.

The manuscript constructs a conceptual foundation for exploring the development and deployment of a personal data marketplace. By suggesting features allowing individuals’ control of their personal data, and properly establishing monetary valuation of one’s personal data, it is argued that individuals will undertake a more proactive management of personal data.

An overview of the available services and products offering increased anonymity is explored, in turn, illustrating the beginnings of a market response for anonymity as a valuable good. By placing a monetary value on individuals’ anonymity, it is reasoned that individuals will more consciously protect their anonymity in ways where legislation and other practices (i.e. privacy policies, marketing opt-out) have failed.

Searching the tender notices that publish every day in open tendering websites is a common way for finding business opportunity in public procurement. The heterogeneity of tender notices from various tendering marketplaces is a challenge for exploiting semantic technologies in the tender search.

Most of the semantic matching approaches require the data to be structured and integrated according to a data model. But the integration process can be expensive and time-consuming especially for multi-source data integration.

In this paper, a product search mechanism that had been developed in an e-procurement platform for matching product e-catalogues is applied to the tender search problem. The search performance has been compared using two procurement vocabularies on searching tender notices from two major tender resources.

The test results show that the matching mechanism is able to find tender notices from heterogeneous resources and different classification systems without transforming the tenders to a uniform data model.

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

Decentralised autonomous organisations (DAOs) are internet-native self-governing enterprises where individual groups, communities, agencies, consumers and providers work together using blockchain-led smart contracts (SCs). This study aims to examine the role of DAO marketplaces in technology-led autonomous organisation design for enterprise technology sourcing industries, with algorithmic trust and governance.

The authors examined the importance of an enterprise marketplace governance platform for technology sourcing using DAO as a decentralised/democratised business model. A total of 98 DAO products/services are evaluated across 11 industries that envisage DAO as a strategic choice for the governance of decentralised marketplace platforms.

The research findings validate how a DAO-led enterprise marketplace governance platform can create a cohesive collaboration between consumers (enterprises) and providers (solution vendors) in a disintermediated way. The proposed novel layered solution for an autonomous governance-led enterprise marketplace promises algorithmic trust-led, self-governed tactical alternatives to a strategic plan.

The research targets multiple industry outlooks to understand decentralised autonomous marketplace governance and develop the theoretical foundation for research and extensive corporate suitability.

The research underpinnings boost the entrepreneurs’ ability to realise the practical potential of DAO between multiple parties using SCs and tokenise the entire product and service offerings over immutable ledger technologies.

To the best of the authors’ knowledge, this research is unique and the first of its kind to study the multi-industry role of algorithmic trust and governance in enterprise technology sourcing marketplaces driven by 98 decentralised and consensus-based DAO products across 11 industries.

This paper aims to explore what aspects of organisational value can be realised through taking a service exchange perspective of e-marketplaces as opposed to a product transaction perspective Marketing is increasingly concerned with the notion of service value in business-to-business markets. Electronic marketplaces (e-marketplaces) have been used in B2B exchanges for many years and continually evolve as the understanding of e-marketplace participation and the technologies develop.

A case study approach is taken using three large e-marketplace organisations and interviews with senior managers from each company.

The paper argues that e-marketplaces should not be thought of solely as a product transaction mechanism but rather as a digital marketing and communication network where service, rather than products, forms the basis of a value creating exchange.

Organisations can co-create value within an e-marketplace network but must market services value across organisational boundaries.

The paper extends the literature in the area of e-marketplace trading and recognises the importance of the digital communication network in enabling service exchange between the e-marketplace, buyers and suppliers.

The purpose of this paper is to examine recent developments in European policy debates concerned with whether governments should intervene in the digital intermediary marketplace to protect the public’s interest.

The paper discusses the public’s interest in the evolution of the digital intermediary marketplace, considers the economics and policy literature on the case for policy intervention in the market dynamics of digital platforms and examines the extent to which policy makers in Europe are catching up with changes in the market for digital platform services.

It is argued that policy-makers need to broaden the evidence base upon which they consider whether policy intervention is needed beyond economic analysis. This is essential to ensure that the European digital intermediary marketplace develops in line with economic, social and cultural goals.

The case is made for measures to ensure continuous and integrated monitoring of developments in the digital marketplace based on economic indicators and evidence on the diversity of media content.

Suggestions are made about the need for innovations in the way policy makers develop the required evidence base for their decisions.

The paper draws attention to the need for proactive policy making based on a consideration of economic, social and cultural goals to ensure that digital intermediaries are held accountable.

The paper provides a multidisciplinary perspective on the dynamics of the digital intermediary ecology and assesses the extent to which the European digital market strategy provides an integrated initiative that is likely to be implemented.

It has become increasingly clear that the objectives of privacy and competition policy are in conflict with one another with regard to platform data. While privacy policies aim at limiting the use of platform data for purposes other than those for which the data were collected in order to protect the privacy of platform users, competition policy aims at making such data widely available in order to curb the power of platforms.

We draw on Commons' Institutional Economics to contrast the current control-based approaches to ensuring the protection as well as the sharing of platform data with an ownership approach. We also propose the novel category of platform use data and contrast this with the dichotomy of personal/non-personal data which underlies current regulatory initiatives.

We find that current control- and ownership-based approaches are ineffective with regard to their capacity to balance these conflicting objectives and propose an alternative approach which makes platform data saleable. We discuss this approach in view of its capacity to balance the conflicting objectives of privacy and competition policy and its effectiveness in supporting each separately.

Our approach clarifies the fundamental difference between data markets and other concepts such as data exchanges.