Abstract
This design research builds on the idea to combine the strengths of traditional survey research with a more practice-oriented benchmarking approach. We present selfsurvey.org, an online survey platform that allows providing instant and respondent-specific feedback based on a scientifically grounded research model and a structural equation model-based prediction technique. Based on the partial least squares analysis results of a training dataset, selfsurvey employs a scoring algorithm to derive respondent-specific predicted scores, compares these with the observed scores, and provides visualized and text-based outputs. Our evaluation of selfsurvey in the context of a maturity benchmarking study provides an indication for the perceived usefulness of this artifact and its underlying scoring algorithm. We argue that this prediction-based approach, which goes far beyond the functionality of common univariate benchmarking tools, can be used for a wide range of survey studies and help increase the perceived relevance of academic survey studies to practice.
Original language | English |
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Title of host publication | ECIS 2015 Proceedings |
Editors | Jörg Becker, Jan vom Brocke, Marco De Marco |
Number of pages | 15 |
Place of Publication | Atlanta, GA |
Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
Publication date | 2015 |
Article number | 204 |
ISBN (Print) | 9783000502842 |
DOIs | |
Publication status | Published - 2015 |
Event | The 23rd European Conference on Information Systems (ECIS) 2015 - Westfälische Wilhelms-Universität Münster, Münster, Germany Duration: 26 May 2015 → 29 May 2015 Conference number: 23 http://www.ecis2015.eu/ |
Conference
Conference | The 23rd European Conference on Information Systems (ECIS) 2015 |
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Number | 23 |
Location | Westfälische Wilhelms-Universität Münster |
Country/Territory | Germany |
City | Münster |
Period | 26/05/2015 → 29/05/2015 |
Internet address |
Series | Proceedings of the European Conference on Information Systems |
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ISSN | 0000-0034 |
Keywords
- Survey research
- Structural equation models
- Partial least squares
- Multivariate prediction
- Benchmarking
- Design research