---
_id: '44855'
abstract:
- lang: eng
  text: Market transactions are subject to information asymmetry about the delivered
    value proposition, causing transaction costs and adverse market effects among
    buyers and sellers. Information systems research has investigated how review systems
    can reduce information asymmetry in business-to-consumer markets. However, these
    systems cannot be readily applied to business-to-business markets, are vulnerable
    to manipulation, and suffer from conceptual weak spots since they use textual
    data or star ratings. Building on design science research, we conceptualize a
    new class of reputation systems based on monetary-based payments as quantitative
    ratings for each transaction stored on a blockchain. Using cryptography, we show
    that our system assures content confidentiality so that buyers can share and sell
    their ratings selectively, establishing a reputation ecosystem. Our prescriptive
    insights advance the design of reputation systems and offer new paths to understanding
    the antecedents, dynamics, and consequences to reduce information asymmetry in
    B2B transactions.
author:
- first_name: Simon
  full_name: Hemmrich, Simon
  id: '83557'
  last_name: Hemmrich
- first_name: Jan
  full_name: Bobolz, Jan
  id: '27207'
  last_name: Bobolz
- first_name: Daniel
  full_name: Beverungen, Daniel
  id: '59677'
  last_name: Beverungen
- first_name: Johannes
  full_name: Blömer, Johannes
  id: '23'
  last_name: Blömer
citation:
  ama: 'Hemmrich S, Bobolz J, Beverungen D, Blömer J. Designing Business Reputation
    Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain.
    In: <i>ECIS 2023 Research Papers</i>. ; 2023.'
  apa: Hemmrich, S., Bobolz, J., Beverungen, D., &#38; Blömer, J. (2023). Designing
    Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings
    on a Blockchain. <i>ECIS 2023 Research Papers</i>. ECIS 2023.
  bibtex: '@inproceedings{Hemmrich_Bobolz_Beverungen_Blömer_2023, title={Designing
    Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings
    on a Blockchain}, booktitle={ECIS 2023 Research Papers}, author={Hemmrich, Simon
    and Bobolz, Jan and Beverungen, Daniel and Blömer, Johannes}, year={2023} }'
  chicago: Hemmrich, Simon, Jan Bobolz, Daniel Beverungen, and Johannes Blömer. “Designing
    Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings
    on a Blockchain.” In <i>ECIS 2023 Research Papers</i>, 2023.
  ieee: S. Hemmrich, J. Bobolz, D. Beverungen, and J. Blömer, “Designing Business
    Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a
    Blockchain,” presented at the ECIS 2023, 2023.
  mla: Hemmrich, Simon, et al. “Designing Business Reputation Ecosystems — A Method
    for Issuing and Trading Monetary Ratings on a Blockchain.” <i>ECIS 2023 Research
    Papers</i>, 2023.
  short: 'S. Hemmrich, J. Bobolz, D. Beverungen, J. Blömer, in: ECIS 2023 Research
    Papers, 2023.'
conference:
  name: ECIS 2023
date_created: 2023-05-16T08:31:27Z
date_updated: 2023-05-23T10:12:32Z
ddc:
- '330'
department:
- _id: '7'
- _id: '64'
- _id: '19'
- _id: '526'
extern: '1'
file:
- access_level: closed
  content_type: application/pdf
  creator: jbobolz
  date_created: 2023-05-23T10:11:03Z
  date_updated: 2023-05-23T10:11:03Z
  file_id: '45209'
  file_name: A_Blockchain_Based_Reputation_Ecosystem_for_Business___Payments_as_Ratings.pdf
  file_size: 958740
  relation: main_file
  success: 1
file_date_updated: 2023-05-23T10:11:03Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/ecis2023_rp/344
project:
- _id: '1'
  name: 'SFB 901: SFB 901'
- _id: '4'
  name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '13'
  name: 'SFB 901 - C1: SFB 901 - Subproject C1'
publication: ECIS 2023 Research Papers
status: public
title: Designing Business Reputation Ecosystems — A Method for Issuing and Trading
  Monetary Ratings on a Blockchain
type: conference
user_id: '27207'
year: '2023'
...