---
_id: '65182'
abstract:
- lang: eng
text: The aggregation of rating metrics in reputation systems is crucial
for mitigating information overload by condensing customer rating distributions
into singular valence scores. While platforms typically employ technical aggregation
functions, such as the arithmetic mean to capture product quality, it remains
unclear whether these functions align with customers' innate aggregation patterns.
To address this knowledge gap, we designed a controlled economic decision experiment
to elicit customers' aggregation principles by analyzing their product ranking
decisions and contrasting these with various reference functions. Our findings
indicate that, on average, customers aggregate rating information in accordance
with the arithmetic mean. However, a granular analysis at the individual level
reveals significant heterogeneity in aggregation behavior, with a substantial
cluster exhibiting binary patterns that focus equally on negative (1-2 star) and
positive (4-5 star) ratings. Additional clusters concentrate on negative feedback,
particularly 1-star ratings or 1-2 star ratings collectively. Notably, these inherent
aggregation patterns exhibit stability across variations in numerical information
presentation and are not significantly influenced by individual characteristics,
such as online shopping experience, risk attitudes, or demographics. These findings
suggest that while the arithmetic mean captures average consumer behavior, platforms
could benefit from offering customizable aggregation options to better cater to
diverse user preferences for processing rating distributions. By doing so, platforms
can enhance the effectiveness of their reputation systems and improve the overall
quality of decision-making for consumers.
author:
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
- first_name: Behnud
full_name: Mir Djawadi, Behnud
id: '26032'
last_name: Mir Djawadi
orcid: 0000-0002-6271-5912
- first_name: Vitalik
full_name: Melnikov, Vitalik
id: '58747'
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: René
full_name: Fahr, René
id: '111'
last_name: Fahr
citation:
ama: van Straaten D, Mir Djawadi B, Melnikov V, Hüllermeier E, Fahr R. Aggregation
Processes in Customer Rating Systems - Insights from an Economic Decision Experiment.
SSRN Electronic Journal. Published online 2026. doi:http://dx.doi.org/10.2139/ssrn.6201258
apa: van Straaten, D., Mir Djawadi, B., Melnikov, V., Hüllermeier, E., & Fahr,
R. (2026). Aggregation Processes in Customer Rating Systems - Insights from an
Economic Decision Experiment. SSRN Electronic Journal. http://dx.doi.org/10.2139/ssrn.6201258
bibtex: '@article{van Straaten_Mir Djawadi_Melnikov_Hüllermeier_Fahr_2026, title={Aggregation
Processes in Customer Rating Systems - Insights from an Economic Decision Experiment},
DOI={http://dx.doi.org/10.2139/ssrn.6201258},
journal={SSRN Electronic Journal}, publisher={Elsevier BV}, author={van Straaten,
Dirk and Mir Djawadi, Behnud and Melnikov, Vitalik and Hüllermeier, Eyke and Fahr,
René}, year={2026} }'
chicago: Straaten, Dirk van, Behnud Mir Djawadi, Vitalik Melnikov, Eyke Hüllermeier,
and René Fahr. “Aggregation Processes in Customer Rating Systems - Insights from
an Economic Decision Experiment.” SSRN Electronic Journal, 2026. http://dx.doi.org/10.2139/ssrn.6201258.
ieee: 'D. van Straaten, B. Mir Djawadi, V. Melnikov, E. Hüllermeier, and R. Fahr,
“Aggregation Processes in Customer Rating Systems - Insights from an Economic
Decision Experiment,” SSRN Electronic Journal, 2026, doi: http://dx.doi.org/10.2139/ssrn.6201258.'
mla: van Straaten, Dirk, et al. “Aggregation Processes in Customer Rating Systems
- Insights from an Economic Decision Experiment.” SSRN Electronic Journal,
Elsevier BV, 2026, doi:http://dx.doi.org/10.2139/ssrn.6201258.
short: D. van Straaten, B. Mir Djawadi, V. Melnikov, E. Hüllermeier, R. Fahr, SSRN
Electronic Journal (2026).
date_created: 2026-03-27T16:21:55Z
date_updated: 2026-03-27T21:55:03Z
department:
- _id: '179'
doi: http://dx.doi.org/10.2139/ssrn.6201258
language:
- iso: eng
publication: SSRN Electronic Journal
publication_status: published
publisher: Elsevier BV
status: public
title: Aggregation Processes in Customer Rating Systems - Insights from an Economic
Decision Experiment
type: journal_article
user_id: '26032'
year: '2026'
...
---
_id: '30341'
author:
- first_name: Britta
full_name: Hoyer, Britta
id: '42447'
last_name: Hoyer
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
citation:
ama: Hoyer B, van Straaten D. Anonymity and Self-Expression in Online Rating Systems
- An Experimental Analysis. Journal of Behavioral and Experimental Economics.
2022;98:101869. doi:10.1016/j.socec.2022.101869
apa: Hoyer, B., & van Straaten, D. (2022). Anonymity and Self-Expression in
Online Rating Systems - An Experimental Analysis. Journal of Behavioral and
Experimental Economics, 98, 101869. https://doi.org/10.1016/j.socec.2022.101869
bibtex: '@article{Hoyer_van Straaten_2022, title={Anonymity and Self-Expression
in Online Rating Systems - An Experimental Analysis}, volume={98}, DOI={10.1016/j.socec.2022.101869},
journal={Journal of Behavioral and Experimental Economics}, publisher={Elsevier
BV}, author={Hoyer, Britta and van Straaten, Dirk}, year={2022}, pages={101869}
}'
chicago: 'Hoyer, Britta, and Dirk van Straaten. “Anonymity and Self-Expression in
Online Rating Systems - An Experimental Analysis.” Journal of Behavioral and
Experimental Economics 98 (2022): 101869. https://doi.org/10.1016/j.socec.2022.101869.'
ieee: 'B. Hoyer and D. van Straaten, “Anonymity and Self-Expression in Online Rating
Systems - An Experimental Analysis,” Journal of Behavioral and Experimental
Economics, vol. 98, p. 101869, 2022, doi: 10.1016/j.socec.2022.101869.'
mla: Hoyer, Britta, and Dirk van Straaten. “Anonymity and Self-Expression in Online
Rating Systems - An Experimental Analysis.” Journal of Behavioral and Experimental
Economics, vol. 98, Elsevier BV, 2022, p. 101869, doi:10.1016/j.socec.2022.101869.
short: B. Hoyer, D. van Straaten, Journal of Behavioral and Experimental Economics
98 (2022) 101869.
date_created: 2022-03-16T06:24:37Z
date_updated: 2022-03-21T06:07:39Z
department:
- _id: '280'
- _id: '475'
- _id: '179'
doi: 10.1016/j.socec.2022.101869
intvolume: ' 98'
keyword:
- General Social Sciences
- Economics and Econometrics
- Applied Psychology
language:
- iso: eng
main_file_link:
- url: https://www.sciencedirect.com/science/article/abs/pii/S2214804322000441
page: '101869'
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
- _id: '7'
name: 'SFB 901 - A3: SFB 901 - Subproject A3'
- _id: '8'
name: 'SFB 901 - A4: SFB 901 - Subproject A4'
publication: Journal of Behavioral and Experimental Economics
publication_identifier:
issn:
- 2214-8043
publication_status: published
publisher: Elsevier BV
status: public
title: Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis
type: journal_article
user_id: '42447'
volume: 98
year: '2022'
...
---
_id: '24886'
author:
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
citation:
ama: van Straaten D. Inferring Quality with Reputation Systems - Experimental
Evidence on Elicitation Mechanisms and Aggregation Metrics.; 2021. doi:10.17619/UNIPB/1-1189
apa: van Straaten, D. (2021). Inferring Quality with Reputation Systems - Experimental
Evidence on Elicitation Mechanisms and Aggregation Metrics. https://doi.org/10.17619/UNIPB/1-1189
bibtex: '@book{van Straaten_2021, title={Inferring Quality with Reputation Systems
- Experimental Evidence on Elicitation Mechanisms and Aggregation Metrics}, DOI={10.17619/UNIPB/1-1189 }, author={van
Straaten, Dirk}, year={2021} }'
chicago: Straaten, Dirk van. Inferring Quality with Reputation Systems - Experimental
Evidence on Elicitation Mechanisms and Aggregation Metrics, 2021. https://doi.org/10.17619/UNIPB/1-1189 .
ieee: D. van Straaten, Inferring Quality with Reputation Systems - Experimental
Evidence on Elicitation Mechanisms and Aggregation Metrics. 2021.
mla: van Straaten, Dirk. Inferring Quality with Reputation Systems - Experimental
Evidence on Elicitation Mechanisms and Aggregation Metrics. 2021, doi:10.17619/UNIPB/1-1189 .
short: D. van Straaten, Inferring Quality with Reputation Systems - Experimental
Evidence on Elicitation Mechanisms and Aggregation Metrics, 2021.
date_created: 2021-09-22T12:31:54Z
date_updated: 2022-01-06T06:56:40Z
department:
- _id: '178'
doi: '10.17619/UNIPB/1-1189 '
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '8'
name: SFB 901 - Subproject A4
status: public
supervisor:
- first_name: René
full_name: Fahr, René
id: '111'
last_name: Fahr
title: Inferring Quality with Reputation Systems - Experimental Evidence on Elicitation
Mechanisms and Aggregation Metrics
type: dissertation
user_id: '15504'
year: '2021'
...
---
_id: '45616'
abstract:
- lang: eng
text: Aggregation metrics in reputation systems are important for overcoming information
overload. When using these metrics, technical aggregation functions such as the
arithmetic mean are implemented to measure the valence of product ratings. However,
it is unclear whether the implemented aggregation functions match the inherent
aggregation patterns of customers. In our experiment, we elicit customers' aggregation
heuristics and contrast these with reference functions. Our findings indicate
that, overall, the arithmetic mean performs best in comparison with other aggregation
functions. However, our analysis on an individual level reveals heterogeneous
aggregation patterns. Major clusters exhibit a binary bias (i.e., an over-weighting
of moderate ratings and under-weighting of extreme ratings) in combination with
the arithmetic mean. Minor clusters focus on 1-star ratings or negative (i.e.,
1-star and 2-star) ratings. Thereby, inherent aggregation patterns are neither
affected by variation of provided information nor by individual characteristics
such as experience, risk attitudes, or demographics.
author:
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
- first_name: Vitalik
full_name: Melnikov, Vitalik
id: '58747'
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Behnud
full_name: Mir Djawadi, Behnud
id: '26032'
last_name: Mir Djawadi
orcid: 0000-0002-6271-5912
- first_name: René
full_name: Fahr, René
id: '111'
last_name: Fahr
citation:
ama: 'van Straaten D, Melnikov V, Hüllermeier E, Mir Djawadi B, Fahr R. Accounting
for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation
Processes. Vol 72.; 2021.'
apa: 'van Straaten, D., Melnikov, V., Hüllermeier, E., Mir Djawadi, B., & Fahr,
R. (2021). Accounting for Heuristics in Reputation Systems: An Interdisciplinary
Approach on Aggregation Processes (Vol. 72).'
bibtex: '@book{van Straaten_Melnikov_Hüllermeier_Mir Djawadi_Fahr_2021, series={Working
Papers Dissertations}, title={Accounting for Heuristics in Reputation Systems:
An Interdisciplinary Approach on Aggregation Processes}, volume={72}, author={van
Straaten, Dirk and Melnikov, Vitalik and Hüllermeier, Eyke and Mir Djawadi, Behnud
and Fahr, René}, year={2021}, collection={Working Papers Dissertations} }'
chicago: 'Straaten, Dirk van, Vitalik Melnikov, Eyke Hüllermeier, Behnud Mir Djawadi,
and René Fahr. Accounting for Heuristics in Reputation Systems: An Interdisciplinary
Approach on Aggregation Processes. Vol. 72. Working Papers Dissertations,
2021.'
ieee: 'D. van Straaten, V. Melnikov, E. Hüllermeier, B. Mir Djawadi, and R. Fahr,
Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach
on Aggregation Processes, vol. 72. 2021.'
mla: 'van Straaten, Dirk, et al. Accounting for Heuristics in Reputation Systems:
An Interdisciplinary Approach on Aggregation Processes. 2021.'
short: 'D. van Straaten, V. Melnikov, E. Hüllermeier, B. Mir Djawadi, R. Fahr, Accounting
for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation
Processes, 2021.'
date_created: 2023-06-15T08:23:33Z
date_updated: 2023-07-05T07:27:17Z
intvolume: ' 72'
language:
- iso: eng
project:
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
series_title: Working Papers Dissertations
status: public
title: 'Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach
on Aggregation Processes'
type: working_paper
user_id: '477'
volume: 72
year: '2021'
...
---
_id: '45617'
author:
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
citation:
ama: van Straaten D. Incentive Schemes in Customer Rating Systems - Comparing
the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation.
Vol 71.; 2021.
apa: van Straaten, D. (2021). Incentive Schemes in Customer Rating Systems -
Comparing the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation
(Vol. 71).
bibtex: '@book{van Straaten_2021, series={Working Papers Dissertations}, title={Incentive
Schemes in Customer Rating Systems - Comparing the Effects of Unconditional and
Conditional Rebates on Intrinsic Motivation}, volume={71}, author={van Straaten,
Dirk}, year={2021}, collection={Working Papers Dissertations} }'
chicago: Straaten, Dirk van. Incentive Schemes in Customer Rating Systems - Comparing
the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation.
Vol. 71. Working Papers Dissertations, 2021.
ieee: D. van Straaten, Incentive Schemes in Customer Rating Systems - Comparing
the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation,
vol. 71. 2021.
mla: van Straaten, Dirk. Incentive Schemes in Customer Rating Systems - Comparing
the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation.
2021.
short: D. van Straaten, Incentive Schemes in Customer Rating Systems - Comparing
the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation,
2021.
date_created: 2023-06-15T08:26:22Z
date_updated: 2023-07-05T07:26:14Z
intvolume: ' 71'
language:
- iso: eng
project:
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
series_title: Working Papers Dissertations
status: public
title: Incentive Schemes in Customer Rating Systems - Comparing the Effects of Unconditional
and Conditional Rebates on Intrinsic Motivation
type: working_paper
user_id: '477'
volume: 71
year: '2021'
...
---
_id: '45618'
author:
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
- first_name: René
full_name: Fahr, René
id: '111'
last_name: Fahr
citation:
ama: van Straaten D, Fahr R. Fighting Fire with Fire - Overcoming Ambiguity Aversion
by Introducing More Ambiguity. Vol 73.; 2021.
apa: van Straaten, D., & Fahr, R. (2021). Fighting Fire with Fire - Overcoming
Ambiguity Aversion by Introducing more Ambiguity (Vol. 73).
bibtex: '@book{van Straaten_Fahr_2021, series={Working Papers Dissertations}, title={Fighting
Fire with Fire - Overcoming Ambiguity Aversion by Introducing more Ambiguity},
volume={73}, author={van Straaten, Dirk and Fahr, René}, year={2021}, collection={Working
Papers Dissertations} }'
chicago: Straaten, Dirk van, and René Fahr. Fighting Fire with Fire - Overcoming
Ambiguity Aversion by Introducing More Ambiguity. Vol. 73. Working Papers
Dissertations, 2021.
ieee: D. van Straaten and R. Fahr, Fighting Fire with Fire - Overcoming Ambiguity
Aversion by Introducing more Ambiguity, vol. 73. 2021.
mla: van Straaten, Dirk, and René Fahr. Fighting Fire with Fire - Overcoming
Ambiguity Aversion by Introducing More Ambiguity. 2021.
short: D. van Straaten, R. Fahr, Fighting Fire with Fire - Overcoming Ambiguity
Aversion by Introducing More Ambiguity, 2021.
date_created: 2023-06-15T08:28:34Z
date_updated: 2023-07-05T07:27:57Z
intvolume: ' 73'
language:
- iso: eng
project:
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
series_title: Working Papers Dissertations
status: public
title: Fighting Fire with Fire - Overcoming Ambiguity Aversion by Introducing more
Ambiguity
type: working_paper
user_id: '477'
volume: 73
year: '2021'
...
---
_id: '1060'
abstract:
- lang: eng
text: With a growing number of online reviews, it becomes increasingly important
for customers and online review platforms to find groups of reviewers who write
useful reviews. Customers who review local offline businesses such as restaurants
can identify themselves as locals or travelers and thus implicitly assign themselves
to a specific reviewer group. This study investigates the relationship between
identifying as a local and the perceived usefulness of their online reviews. Using
data from Yelp.com, we empirically test hypotheses derived from attribution theory.
Our results suggest that neutral and negative reviews by locals tend to be perceived
as more useful than reviews by travelers. Positive reviews by locals, however,
are not perceived as more useful. These findings provide significant practical
implications for online review platforms and local offline businesses.
author:
- first_name: Jürgen
full_name: Neumann, Jürgen
id: '32456'
last_name: Neumann
- first_name: Dominik
full_name: Gutt, Dominik
id: '14368'
last_name: Gutt
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
citation:
ama: 'Neumann J, Gutt D, Kundisch D, van Straaten D. When Local Praise Becomes Cheap
Talk - Analyzing the Relationship between Reviewer Location and Usefulness of
Online Reviews. In: Proceedings of the Multikonferenz Wirtschaftsinformatik
2018 (MKWI), Lüneburg, Germany. ; 2018.'
apa: Neumann, J., Gutt, D., Kundisch, D., & van Straaten, D. (2018). When Local
Praise Becomes Cheap Talk - Analyzing the Relationship between Reviewer Location
and Usefulness of Online Reviews. In Proceedings of the Multikonferenz Wirtschaftsinformatik
2018 (MKWI), Lüneburg, Germany.
bibtex: '@inproceedings{Neumann_Gutt_Kundisch_van Straaten_2018, title={When Local
Praise Becomes Cheap Talk - Analyzing the Relationship between Reviewer Location
and Usefulness of Online Reviews}, booktitle={Proceedings of the Multikonferenz
Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}, author={Neumann, Jürgen
and Gutt, Dominik and Kundisch, Dennis and van Straaten, Dirk}, year={2018} }'
chicago: Neumann, Jürgen, Dominik Gutt, Dennis Kundisch, and Dirk van Straaten.
“When Local Praise Becomes Cheap Talk - Analyzing the Relationship between Reviewer
Location and Usefulness of Online Reviews.” In Proceedings of the Multikonferenz
Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany, 2018.
ieee: J. Neumann, D. Gutt, D. Kundisch, and D. van Straaten, “When Local Praise
Becomes Cheap Talk - Analyzing the Relationship between Reviewer Location and
Usefulness of Online Reviews,” in Proceedings of the Multikonferenz Wirtschaftsinformatik
2018 (MKWI), Lüneburg, Germany, 2018.
mla: Neumann, Jürgen, et al. “When Local Praise Becomes Cheap Talk - Analyzing the
Relationship between Reviewer Location and Usefulness of Online Reviews.” Proceedings
of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany,
2018.
short: 'J. Neumann, D. Gutt, D. Kundisch, D. van Straaten, in: Proceedings of the
Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany, 2018.'
date_created: 2017-12-18T08:12:09Z
date_updated: 2022-01-06T06:50:47Z
ddc:
- '330'
department:
- _id: '276'
file:
- access_level: closed
content_type: application/pdf
creator: d0mi
date_created: 2018-11-12T10:30:04Z
date_updated: 2018-11-12T10:30:04Z
file_id: '5485'
file_name: MKWI_110 (1).pdf
file_size: 668515
relation: main_file
success: 1
file_date_updated: 2018-11-12T10:30:04Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '8'
name: SFB 901 - Subproject A4
publication: Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI),
Lüneburg, Germany
status: public
title: When Local Praise Becomes Cheap Talk - Analyzing the Relationship between Reviewer
Location and Usefulness of Online Reviews
type: conference
user_id: '14368'
year: '2018'
...
---
_id: '115'
abstract:
- lang: eng
text: 'Whenever customers have to decide between different instances of the same
product, they are interested in buying the best product. In contrast, companies
are interested in reducing the construction effort (and usually as a consequence
thereof, the quality) to gain profit. The described setting is widely known as
opposed preferences in quality of the product and also applies to the context
of service-oriented computing. In general, service-oriented computing emphasizes
the construction of large software systems out of existing services, where services
are small and self-contained pieces of software that adhere to a specified interface.
Several implementations of the same interface are considered as several instances
of the same service. Thereby, customers are interested in buying the best service
implementation for their service composition wrt. to metrics, such as costs, energy,
memory consumption, or execution time. One way to ensure the service quality is
to employ certificates, which can come in different kinds: Technical certificates
proving correctness can be automatically constructed by the service provider and
again be automatically checked by the user. Digital certificates allow proof of
the integrity of a product. Other certificates might be rolled out if service
providers follow a good software construction principle, which is checked in annual
audits. Whereas all of these certificates are handled differently in service markets,
what they have in common is that they influence the buying decisions of customers.
In this paper, we review state-of-the-art developments in certification with respect
to service-oriented computing. We not only discuss how certificates are constructed
and handled in service-oriented computing but also review the effects of certificates
on the market from an economic perspective.'
author:
- first_name: Marie-Christine
full_name: Jakobs, Marie-Christine
last_name: Jakobs
- first_name: Julia
full_name: Krämer, Julia
last_name: Krämer
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
citation:
ama: 'Jakobs M-C, Krämer J, van Straaten D, Lettmann T. Certification Matters for
Service Markets. In: Marcelo De Barros, Janusz Klink,Tadeus Uhl TP, ed. The
Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION).
; 2017:7-12.'
apa: Jakobs, M.-C., Krämer, J., van Straaten, D., & Lettmann, T. (2017). Certification
Matters for Service Markets. In T. P. Marcelo De Barros, Janusz Klink,Tadeus Uhl
(Ed.), The Ninth International Conferences on Advanced Service Computing (SERVICE
COMPUTATION) (pp. 7–12).
bibtex: '@inproceedings{Jakobs_Krämer_van Straaten_Lettmann_2017, title={Certification
Matters for Service Markets}, booktitle={The Ninth International Conferences on
Advanced Service Computing (SERVICE COMPUTATION)}, author={Jakobs, Marie-Christine
and Krämer, Julia and van Straaten, Dirk and Lettmann, Theodor}, editor={Marcelo
De Barros, Janusz Klink,Tadeus Uhl, Thomas PrinzEditor}, year={2017}, pages={7–12}
}'
chicago: Jakobs, Marie-Christine, Julia Krämer, Dirk van Straaten, and Theodor Lettmann.
“Certification Matters for Service Markets.” In The Ninth International Conferences
on Advanced Service Computing (SERVICE COMPUTATION), edited by Thomas Prinz
Marcelo De Barros, Janusz Klink,Tadeus Uhl, 7–12, 2017.
ieee: M.-C. Jakobs, J. Krämer, D. van Straaten, and T. Lettmann, “Certification Matters
for Service Markets,” in The Ninth International Conferences on Advanced Service
Computing (SERVICE COMPUTATION), 2017, pp. 7–12.
mla: Jakobs, Marie-Christine, et al. “Certification Matters for Service Markets.”
The Ninth International Conferences on Advanced Service Computing (SERVICE
COMPUTATION), edited by Thomas Prinz Marcelo De Barros, Janusz Klink,Tadeus
Uhl, 2017, pp. 7–12.
short: 'M.-C. Jakobs, J. Krämer, D. van Straaten, T. Lettmann, in: T.P. Marcelo
De Barros, Janusz Klink,Tadeus Uhl (Ed.), The Ninth International Conferences
on Advanced Service Computing (SERVICE COMPUTATION), 2017, pp. 7–12.'
date_created: 2017-10-17T12:41:14Z
date_updated: 2022-01-06T06:51:02Z
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last_name: Marcelo De Barros, Janusz Klink,Tadeus Uhl
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creator: florida
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date_updated: 2018-03-21T13:04:12Z
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page: 7-12
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publication: The Ninth International Conferences on Advanced Service Computing (SERVICE
COMPUTATION)
status: public
title: Certification Matters for Service Markets
type: conference
user_id: '477'
year: '2017'
...
---
_id: '404'
author:
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
citation:
ama: van Straaten D. Kooperative Verhandlungen im duopolistischen Wettbewerb
- eine spieltheoretische Analyse. Universität Paderborn; 2014.
apa: van Straaten, D. (2014). Kooperative Verhandlungen im duopolistischen Wettbewerb
- eine spieltheoretische Analyse. Universität Paderborn.
bibtex: '@book{van Straaten_2014, title={Kooperative Verhandlungen im duopolistischen
Wettbewerb - eine spieltheoretische Analyse}, publisher={Universität Paderborn},
author={van Straaten, Dirk}, year={2014} }'
chicago: Straaten, Dirk van. Kooperative Verhandlungen im duopolistischen Wettbewerb
- eine spieltheoretische Analyse. Universität Paderborn, 2014.
ieee: D. van Straaten, Kooperative Verhandlungen im duopolistischen Wettbewerb
- eine spieltheoretische Analyse. Universität Paderborn, 2014.
mla: van Straaten, Dirk. Kooperative Verhandlungen im duopolistischen Wettbewerb
- eine spieltheoretische Analyse. Universität Paderborn, 2014.
short: D. van Straaten, Kooperative Verhandlungen im duopolistischen Wettbewerb
- eine spieltheoretische Analyse, Universität Paderborn, 2014.
date_created: 2017-10-17T12:42:10Z
date_updated: 2022-01-06T07:00:08Z
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name: SFB 901 - Project Area A
publisher: Universität Paderborn
status: public
title: Kooperative Verhandlungen im duopolistischen Wettbewerb - eine spieltheoretische
Analyse
type: mastersthesis
user_id: '477'
year: '2014'
...