A Data Governance Framework for Platform Ecosystem Process Management

Lee, Sung Une; Zhu, Liming; Jeffery, Ross

doi:10.1007/978-3-319-98651-7_13

Cited by 14 publications

(4 citation statements)

References 16 publications

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“…Big, successful tech companies such as Google, Facebook, Twitter and Amazon in the west – and Baidu, Alibaba and Tencent in the east – have created ecosystems (Couldry and Mejias, 2019). However, ecosystems, which receive and contribute data from many different sources and networks, are challenging to govern (Lee et al , 2018).…”

Section: Governance Of Data Economy Ecosystemmentioning

confidence: 99%

Ethical governance model for the data economy ecosystems

Koskinen

Knaapi-Junnila

Helin

et al. 2023

DPRG

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Purpose Data economy is a recent phenomenon, raised by digital transformation and platformisation, which has enabled the concentration of data that can be used in economic purposes. However, there is a lack of clear procedures and ethical rules on how data economy ecosystems are governed. As a response to the current situation, there has been criticism and demands for the governance of data use to prevent unethical consequences that have already manifested. Thus, ethical governance of the data economy ecosystems is needed. The purpose of this paper is to introduce a new ethical governance model for data economy ecosystems. The proposed model offers a more balanced solution for the current situation where a few global large-scale enterprises dominate the data market and may use oligopolistic power over other stakeholders. Design/methodology/approach This is a conceptual article that covers theory-based discourse ethical reflection of data economy ecosystems governance. The study is based on the premise of the discourse ethics where inclusion of all stakeholders is needed for creating a transparent and ethical data economy. Findings This article offers self-regulation tool for data economy ecosystems by discourse ethical approach which is designed in the governance model. The model aims to balance data “markets” by offering more transparent, democratic and equal system than currently. Originality/value By offering a new ethically justified governance model, we may create a trust structure where rules are visible and all stakeholders are treated fairly.

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Section: Governance Of Data Economy Ecosystemmentioning

confidence: 99%

Ethical governance model for the data economy ecosystems

Koskinen

Knaapi-Junnila

Helin

et al. 2023

DPRG

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“…The concept of a data-sharing ecosystem, where multiple participants interact to provide, use, and share data, is widely adopted by many organisations. However, there is a pervasive problem of the potential data breach (data abuse or misuse) in such environments due to the complicated nature of the interactions and sophisticated information diffusion schemes within the systems [42].…”

Section: A Privacy and Legal Compliancementioning

confidence: 99%

Analysis of Data Management in Blockchain-Based Systems: From Architecture to Governance

et al. 2019

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In a blockchain-based system, data and the consensus-based process of recording and updating them over distributed nodes are central to enabling the trustless multi-party transactions. Thus, properly understanding what and how the data are stored and manipulated ultimately determines the degree of utility, performance, and cost of a blockchain-based application. While blockchains enhance the quality of the data by providing a transparent, immutable, and consistent data store, the technology also brings new challenges from a data management perspective. In this paper, we analyse blockchains from the viewpoint of a developer to highlight important concepts and considerations when incorporating a blockchain into a larger software system as a data store. The work aims to increase the level of understanding of blockchain technology as a data store and to promote a methodical approach in applying it to large software systems. First, we identify the common architectural layers of a typical software system with data stores and conceptualise each layer in blockchain terms. Second, we examine the placement and flow of data in blockchain-based applications. Third, we explore data administration aspects for blockchains, especially as a distributed data store. Fourth, we discuss the analytics of blockchain data and trustable data analytics enabled by blockchain. Lastly, we examine the data governance issues in blockchains in terms of privacy and quality assurance.INDEX TERMS Analytics, blockchain, databases, data governance, data handling, distributed data management, distributed databases, software architecture, transaction databases.

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“…Platform users can be subdivided into a supply side (e.g., data providers or data analysts) and a demand side (e.g., data consumers) (S. U. Lee et al, 2018a). The DG requirements of platform users are the focus of this paper, since the fulfilment of their requirements ultimately determines if a data platform will be used or not.…”

Section: Introductionmentioning

confidence: 99%

Factors Shaping the Cashless Payment Ecosystem: Understanding the Role of Participating Actors

Khando¹,

Islam²,

Gao³

2022

35 Th Bled eConference Digital Restructuring and Human (Re)action

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Cashless payments have become increasingly popular around the world because of their numerous advantages. More so, the cashless payment adoption has been escalated during the Covid-19 pandemic. However, there is a lack of holistic studies on the adoption and contemporary practices of cashless payments. The purpose of this study is, therefore, to provide a comprehensive understanding by identifying the participating actors and their crucial role in the payment ecosystem. Thus, the paper aims to address two research questions: i) Who are the participating actors in the cashless payment ecosystem? and ii) What are the determinant factors for the actors to adopt the cashless payment ecosystem? Through scoping literature review of 63 articles published in the last seven years (2015-2021), six participating ecosystem actors are identified with their determinant factors. The study contributes towards addressing adoption issues and serves as a basis for future empirical investigation.

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A Data Governance Framework for Platform Ecosystem Process Management

Cited by 14 publications

References 16 publications

Ethical governance model for the data economy ecosystems

Ethical governance model for the data economy ecosystems

Analysis of Data Management in Blockchain-Based Systems: From Architecture to Governance

Factors Shaping the Cashless Payment Ecosystem: Understanding the Role of Participating Actors

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