Discovering Business Models of Data Marketplaces

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.
Original languageEnglish
Title of host publicationProceedings of the 53rd Hawaii International Conference on System Sciences | 2020
Pages5736-5747
Number of pages10
ISBN (Electronic)978-0-9981331-3-709
Publication statusPublished - 7 Jan 2020
Event53rd Hawaii International Conference on System Sciences - Manoa, United States
Duration: 7 Jan 202010 Jan 2020

Conference

Conference53rd Hawaii International Conference on System Sciences
Abbreviated titleHICSS 2020
CountryUnited States
CityManoa
Period7/01/2010/01/20

Fingerprint

Taxonomies
Industry
Cryptography
Business model
Taxonomy
Archetypes

ASJC Scopus subject areas

  • Management Information Systems
  • Business and International Management

Fields of Expertise

  • Information, Communication & Computing

Cite this

Fruhwirth, M., Rachinger, M., & Prlja, E. (2020). Discovering Business Models of Data Marketplaces. In Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020 (pp. 5736-5747)

Discovering Business Models of Data Marketplaces. / Fruhwirth, Michael; Rachinger, Michael; Prlja, Emina.

Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. 2020. p. 5736-5747.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Fruhwirth, M, Rachinger, M & Prlja, E 2020, Discovering Business Models of Data Marketplaces. in Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. pp. 5736-5747, 53rd Hawaii International Conference on System Sciences, Manoa, United States, 7/01/20.
Fruhwirth M, Rachinger M, Prlja E. Discovering Business Models of Data Marketplaces. In Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. 2020. p. 5736-5747
Fruhwirth, Michael ; Rachinger, Michael ; Prlja, Emina. / Discovering Business Models of Data Marketplaces. Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. 2020. pp. 5736-5747
@inproceedings{6bc965e318cd494f8c32354d4376fe28,
title = "Discovering Business Models of Data Marketplaces",
abstract = "The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.",
author = "Michael Fruhwirth and Michael Rachinger and Emina Prlja",
year = "2020",
month = "1",
day = "7",
language = "English",
pages = "5736--5747",
booktitle = "Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020",

}

TY - GEN

T1 - Discovering Business Models of Data Marketplaces

AU - Fruhwirth, Michael

AU - Rachinger, Michael

AU - Prlja, Emina

PY - 2020/1/7

Y1 - 2020/1/7

N2 - The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.

AB - The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.

UR - https://www.researchgate.net/publication/338478935_Discovering_Business_Models_of_Data_Marketplaces

M3 - Conference contribution

SP - 5736

EP - 5747

BT - Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020

ER -