Exploring design elements of personal data markets

被引:0
作者
Simon Scheider
Florian Lauf
Simon Geller
Frederik Möller
Boris Otto
机构
[1] Fraunhofer Institute for Software and Systems Engineering,Chair for Information Systems and Data
[2] TU Braunschweig,Driven Enterprise
[3] Dortmund Technical University,Chair for Industrial Information Management
来源
Electronic Markets | 2023年 / 33卷
关键词
Archetypes; Personal data markets; Data monetarization; Taxonomy; A1;
D O I
暂无
中图分类号
学科分类号
摘要
Since the emerging information economy relies heavily on data for advancement and growth, data markets have gained increasing attention. However, while global data economies are evolving and data are increasingly shared among organizations in various data ecosystems, marketplaces for personal data (PDMs) exhibited considerable start-up difficulties, which doomed their majority to either fail quickly or to operate in legal grey zones. Apparently, in recent times, novel PDMs have arisen which seem economically and technically viable. The study investigates this “new generation” from both an economic and a technological perspective. Adhering to a rigorous methodology for taxonomy building and evaluation, 18 dimensions and 59 characteristics are presented alongside which these new PDMs can be designed. Additionally, archetypes are derived. The findings reveal that PDMs tend to follow certain design commonalities holding for data markets generally but comprise specific design elements distinguishing them both from conventional data markets and among each other.
引用
收藏
相关论文
共 55 条
[1]  
Acquisti A(2005)Conditioning prices on purchase history Marketing Science 24 367-381
[2]  
Varian HR(1987)Private goods, club goods, and public goods as a continuum Review of Social Economy 45 192-199
[3]  
Adams RD(2002)The role of the business model in capturing value from innovation: Evidence from Xerox Corporation’s technology spin-off companies Industrial and Corporate Change 11 529-555
[4]  
McCormick K(2018)Love at first sight: The interplay between privacy dispositions and privacy calculus in online social connectivity management Journal of the Association for Information Systems 19 124-151
[5]  
Chesbrough H(2018)When humans using the IT artifact becomes IT using the human artifact Journal of the Association for Information Systems 19 929-952
[6]  
Rosenbloom RS(2007)Overcoming online information privacy concerns: An information-processing theory approach Journal of Management Information Systems 24 13-42
[7]  
Choi B(2018)A demonstration of sterling Proceedings of the VLDB Endowment 11 2086-2089
[8]  
Wu Y(2009)Systematic literature reviews in software engineering – A systematic literature review Information and Software Technology 51 7-15
[9]  
Yu J(2016)Mining massive fine-grained behavior data to improve predictive analytics MIS Quarterly 40 869-888
[10]  
Land L(2013)A method for taxonomy development and its application in information systems European Journal of Information Systems 22 336-359