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ORCIDMichael Scholz 0002
Person information
- affiliation: Deggendorf Institute of Technology, Technology Campus Grafenau, Germany
- affiliation: University of Passau, School of Business, Economics and Information Systems, Faculty of Business Administration and Economics, Germany
Other persons with the same name
- Michael Scholz — disambiguation page
- Michael Scholz 0001
![[0000-0002-6766-7497]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-6766-7497")
— Graz University of Technology, Austria (and 3 more) - Michael Scholz 0003 — University of Magdeburg (Otto von Guericke University), Department of Neurology II, Germany (and 2 more)
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2020 – today
- 2025
[c20]Leon Binder, Michael Scholz:
A Genetic Algorithm for Solving the Three-Dimensional Bin Set Selection Problem. GECCO Companion 2025: 515-518- [c19]Kai Höfig, Mario Döller, Faiza Waheed, Fabian Riß, Michael Scholz, Joerg Bauer, Hannes Waclawek, Georg Schäfer, Stefan Huber, Bernhard Heinzl, Michael Hellwig, Steffen Finck:
AI4Green: A Framework for AI-Based Resource Optimizations for Reliable Applications. IMBSA 2025: 321-332 - 2024
- [c18]Michael Scholz, Jörg Bauer:
OTE: A Tool For Extracting Tabular Purchasing Order Information From PDF Documents. ICIST 2024: 161-172 - 2022
- [c17]Leon Binder, Simon Rackl, Michael Scholz, Mathias Hartmann:
Linking Thermal Images with 3D Models for FFF Printing. ISM 2022: 1168-1177 - 2021
- [j13]Michael Scholz, Tristan Wimmer:
A comparison of classification methods across different data complexity scenarios and datasets. Expert Syst. Appl. 168: 114217 (2021) - [c16]Michael Scholz, Melanie Dietmeier:
Packing and stacking rings into rectangular bins. ISM 2021: 768-777
2010 – 2019
- 2019
- [j12]Michael Scholz, Christoph Brenner, Oliver Hinz:
AKEGIS: automatic keyword generation for sponsored search advertising in online retailing. Decis. Support Syst. 119: 96-106 (2019) - [c15]Alexander Keller, Michael Scholz:
Trading on Cryptocurrency Markets: Analyzing the Behavior of Bitcoin Investors. ICIS 2019 - [c14]Tristan Wimmer, Michael Scholz:
Online Product Descriptions - Boost for your Sales? Wirtschaftsinformatik 2019: 498-512 - [c13]Veronika Schuhbeck, Nils Siegfried, Verena Dorner, Alexander Benlian, Michael Scholz, Guido Schryen:
Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents. Wirtschaftsinformatik 2019: 1190-1204 - 2018
- [j11]Michael Scholz, Joachim Schnurbus, Harry Haupt, Verena Dorner, Andrea Landherr, Florian Probst:
Dynamic effects of user- and marketer-generated content on consumer purchase behavior: Modeling the hierarchical structure of social media websites. Decis. Support Syst. 113: 43-55 (2018) - 2017
- [j10]Michael Scholz, Markus Franz, Oliver Hinz:
Effects of decision space information on MAUT-based systems that support purchase decision processes. Decis. Support Syst. 97: 43-57 (2017) - [j9]Olga Ivanova, Michael Scholz:
How can online marketplaces reduce rating manipulation? A new approach on dynamic aggregation of online ratings. Decis. Support Syst. 104: 64-78 (2017) - [j8]Michael Scholz, Verena Dorner, Guido Schryen, Alexander Benlian:
A configuration-based recommender system for supporting e-commerce decisions. Eur. J. Oper. Res. 259(1): 205-215 (2017) - [j7]Michael Scholz, Jella Pfeiffer, Franz Rothlauf:
Using PageRank for non-personalized default rankings in dynamic markets. Eur. J. Oper. Res. 260(1): 388-401 (2017) - 2016
- [j6]Michael Scholz, Markus Franz, Oliver Hinz:
The Ambiguous Identifier Clustering Technique. Electron. Mark. 26(2): 143-156 (2016) - [c12]Markus Bergmeier, Olga Ivanova, Dirk Totzek, Michael Scholz:
What Makes a Hot Deal? Drivers of Deal Popularity in Online Deal Communities. ICIS 2016 - 2015
- [j5]Michael Scholz, Verena Dorner, Markus Franz, Oliver Hinz:
Measuring consumers' willingness to pay with utility-based recommendation systems. Decis. Support Syst. 72: 60-71 (2015) - [c11]Markus Franz, Michael Scholz, Oliver Hinz:
2D versus 3D Visualizations in Decision Support - The Impact of Decision Makers' Perceptions. ICIS 2015 - 2014
- [c10]Michael Scholz, Franz Lehner, Verena Dorner:
A Respecification of the DeLone and McLean Model to Measure the Success of an ElectronicMediated Learning System. MKWI 2014: 805-819 - 2013
- [j4]Michael Scholz, Verena Dorner:
The Recipe for the Perfect Review? - An Investigation into the Determinants of Review Helpfulness. Bus. Inf. Syst. Eng. 5(3): 141-151 (2013) - [j3]Jella Pfeiffer, Michael Scholz:
A Low-Effort Recommendation System with High Accuracy - A New Approach with Ranked Pareto-Fronts. Bus. Inf. Syst. Eng. 5(6): 397-408 (2013) - [j2]Michael Scholz, Verena Dorner:
Das Rezept für die perfekte Rezension? - Einflussfaktoren auf die Nützlichkeit von Online-Kundenrezensionen. Wirtschaftsinf. 55(3): 135-146 (2013) - [j1]Jella Pfeiffer, Michael Scholz:
Produktempfehlungssysteme mit minimalem Konsumentenaufwand und hoher Genauigkeit - Ein neuer Ansatz mit rangbasierter Pareto-Front. Wirtschaftsinf. 55(6): 395-408 (2013) - [c9]Verena Dorner, Michael Scholz:
Predicting And Economically Exploiting Utility Thresholds With Utility-Based Recommendation Systems. ECIS 2013: 30 - [c8]Verena Dorner, Olga Ivanova, Michael Scholz:
Think Twice Before You Buy! How Recommendations Affect Three-Stage Purchase Decision Processes. ICIS 2013 - [c7]Michael Scholz, Verena Dorner, Andrea Landherr, Florian Probst:
Awareness, Interest, and Final Decision: The Effects of User- and Marketer-Generated Content on Consumers' Purchase Decisions. ICIS 2013 - [c6]Olga Ivanova, Michael Scholz, Verena Dorner:
Does Amazon Scare Off Customers? The Effect of Negative Spotlight Reviews on Purchase Intention. Wirtschaftsinformatik 2013: 2 - 2012
- [c5]Michael Scholz, Verena Dorner:
Estimating Optimal Recommendation Set Sizes for Individual Consumers. ICIS 2012 - 2011
- [c4]Michael Scholz, Nicolas Haas:
Determinants of reverse auction results: an empirical examination of freelancer.com. ECIS 2011: 89 - 2010
- [c3]Michael Scholz:
Implications of Consumer Information Behaviour to Construct Utility-based Recommender Systems: A Prototypical Study. Bled eConference 2010: 19 - [c2]Michael Scholz:
Identifying Recommendable Products based on Signal Detection Theory. DSS 2010: 559-570
2000 – 2009
- 2008
- [c1]Michael Scholz:
From Consumer Preferences Towards Buying Decisions - Conjoint Analysis as Preference Measuring Method in Product Recommender Systems. Bled eConference 2008: 28
Coauthor Index
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