Our Mission
We seek to generate reproducible and robust findings on the ‘green’ intention–behavior gap.
Goal. The goal of this project is to provide reproducible and robust findings on the ‘green’ intention–behavior gap, a phenomenon emanating when intentions translate only to a limited extent into actual sustainable consumer behavior (Frank & Brock, 2018). Up to now, researchers have attributed discrepancies in the ‘green gap’ to theoretical or methodological inconsistencies (Morwitz & Munz, 2021; Sheeran, 2002). We aim to shed light on the magnitude of the ‘green’ gap by (1) investigating the variability of results when multiple research teams analyze the same large-scale data set and by (2) investigating social processes shaping the production of scientific results.
Why big team science? Big team science has addressed and challenged problems with the replicability of scientific results in general (Auspurg & Brüderl, 2021; Malich & Rehmann-Sutter, 2022; Peterson & Panofsky, 2023) and the variability in designs and results in particular (Huber et al., 2023). Big team science aims at understanding such variability in research processes mainly caused by the choices (also known as researcher degrees of freedom) researchers make regarding designing, collecting, analyzing, and reporting studies (Wicherts et al., 2016).
Why do we need more quantitative and qualitative results? So far, the marketing discipline has fallen short in metascience research that gives insights into its reproducibility and robustness of results. Furthermore, the integration of qualitative results potentially reveals overlooked factors that cause variability in research findings.
Confidentiality agreement. Importantly, we apply a multiple-blind procedure. This indicates that researchers from the analysis teams and the investigators from this project are not allowed to disclose any information on their part to any other researcher until all analysis teams have submitted their analyses and the project has closed.
Co-authorships. All participating researchers who submit results in alignment with instructions will be listed as co-authors on the initial paper.
Call for Participation
Register as a Research Team and contribute with your analysis to the Green Gap Project.
01. Your Task
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02. Our Part
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03. Incentives
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04. Requirements
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Timeline
FAQ
Get answers to our most commonly asked questions.
General
Q: Who can take part in the project?
A: We aim to get the research community involved in this project. Therefore, we require that at least one member of each research team has an active affiliation with a research institution or has already obtained a doctorate degree.
Q: What is a research team?
A: A research team consists of one or two researchers who want to contribute an algorithm to the project.
Q: What are my duties as a research team?
A: Your task is to develop a total of four algorithms (they can be identical) which aggregate predictions in four different domains and yield an aggregated prediction value as a result. You will also need to review a few other teams’ submissions and answer some questionnaires.
Q: Do I need to have programming skills to participate?
A: Yes, each team submits fully programmed algorithms in R or Python. See the section on algorithm development.
Q: How do you determine the winner of the competition?
A: We determine the most accurate prediction algorithm in each domain as follows: We apply the algorithm to each question of each run of each wave of data collection. For each one, we determine the absolute deviation from the respective true values. Then, we take the mean of the 128 (4 questions X 8 runs X 4 waves) absolute deviations. In each domain, the team that submitted the algorithm with the lowest mean absolute deviation wins.
Q: Did an ethics review board evaluate this project?
A: Yes, we had the review board of the University of Innsbruck review and approve the project (ref: 78/2023).
Q: Whom can I contact if I have concerns, questions, or comments?
A: Please email us at email@woccap.com or contact the project coordinators directly.
Coordinators
The Green Gap Project is coordinated by a team of researchers from the University of Innsbruck.
PD Dr. Karin Teichmann
Prof. Dr. Oliver Koll
Prof. Dr. Jenny van Doorn
Bernd F. Reitsamer, PhD
Prof. Dr. Nicola Stokburger-Sauer
Anna Haller, MSc
Gianna D’Ascenzo, BA
Registration
Sign up as a research team and join our open science project.
Each member of your research team needs to register separately. To identify you as a team, please provide us with a consistent team name.
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