Ochmann, J., Michels, L., Tiefenbeck, V., Maier, C., Laumer, S. (forthcoming) 

AI Fairness: A conceptual definition and empirical study of its causes and consequences 

Information Systems Journal

Michels, L., Schmitt, K., Ochmann, J., Laumer, S., Tiefenbeck, V.  (2023)

Salience, transparency, and self-nudging: A digital nudge to promote healthier food product choices 

European Journal of Information Systems

Brudermüller T., Kreft M., Fleisch E., Starke, T. (2023)

Large-scale monitoring of residential heat pump cycling using smart meter data

Applied Energy 350, 121734

Nuñez-Jimenez A., Mehta P., Griego D. (2023)

Let it grow: How community solar policy can increase PV adoption in cities

Energy Policy 175, 113477

Dangis, G., Terho, K., Graichen, J., Günther, S. A., Rosio, R., Salanterä, S., Staake, T., Stingl, C. (2023) 

Hand hygiene of kindergarten children—Understanding the effect of live feedback on handwashing behaviour, self-efficacy, and motivation of young children: Protocol for a multi-arm cluster randomized controlled trial

Plos one, 18(1), e0280686

Mehta P., Tiefenbeck V. (2022)

Solar PV sharing in urban energy communities: Impact of community configurations on profitability, autonomy and the electric grid

Sustainable Cities and Society, 87, 104178

Wörner A., Tiefenbeck V., Wortmann F., Meeuw A., Ableitner L., Fleisch E., Azevedo I.:

Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study

Information Systems Research, 33(3), 765-1118

Shollo, A., Hopf, K., Thiess, T., Müller, T. (2022)

Shifting ML value creation mechanisms: A process model of ML value creation

The Journal of Strategic Information Systems, 31(3),101734

Pena-Bello, A., Parra, D., Herberz, M., Tiefenbeck, V., Patel, M., Hahnel, U. (2022) 

Integration of prosumer peer-to-peer trading decisions into energy community modelling 

Nature Energy 7, 74–82

Fuchs K., Lian J., Michels L., Mayer S., Toniato E., Tiefenbeck V. (2022)

Effects of Digital Food Labels on Healthy Food Choices in Online Grocery Shopping

Nutrients, 14(10), 2044

Weigert, A., Hopf, K., Günther, S., Staake, T. (2022)

Heat pump inspections result in large energy savings when a pre-selection of households is performed: A promising use case of smart meter data

Energy Policy 169, 113156.

Hopf, K., Weigert, A., Staake, T. (2022)

Value creation from analytics with limited data: a case study on the retailing of durable consumer goods

Journal of Decision Systems, 32(2), 289-325

Stingl, C., Günther, S. A., Staake, T. (2021) 

A Feedback Information System for Improving Hand Hygiene on a Personal and Organizational Level

International Conference on Wirtschaftsinformatik , 88-94

Toniato, E., Mehta, P., Marinkovic, S., Tiefenbeck, V. (2021)

Peak load minimization of an E-bus depot: impacts of user-set conditions in optimization algorithms

Energy Informatics 4 (3), pp. 1-18

Günther, S., Staake, T., Schöb, S., Tiefenbeck, V. (2020) 

The behavioral response to a corporate carbon offset program: A field experiment on adverse effects and mitigation strategies

Global Environmental Change 64, 102123 

Ableitner, L., Tiefenbeck, V., Meeuw, A., Wörner, A., and Wortmann, F. (2020)

User Behavior in a Real-World Peer-to-Peer Electricity Market

Applied Energy 270, 115061

Meeuw, A., Schopfer, S., Wörner, A., Tiefenbeck, V., Ableitner, L., Fleisch, E., and Wortmann, F. (2020)

Implementing a blockchain-based local energy market: Insights on communication and scalability

Computer Communications 160, 158-171

Günther, S., Stingl, C., Coroamă, V. C., Schöb, S., Staake, T. (2020)

Empowering Personalized Feedback on Hot Water Usage: A Field Study with Shower Meters

ACM Symposium on Applied Computing, pp. 763-766

Wenig J., Sodenkamp M., Staake T. (2019) 

Battery versus infrastructure: Tradeoffs between battery capacity and charging infrastructure for plug-in hybrid electric vehicles

Applied Energy, 255, 113787

Wörner, A., Meeuw, A., Ableitner, A., Wortmann, F., Schopfer, S., Tiefenbeck, V. (2019)

Trading solar energy within the neighborhood: field implementation of a blockchain-based electricity market
Energy Informatics 2(11), pp. 1-12.

Tiefenbeck, V., Wörner, A., Schöb, S., Fleisch, E., Staake, T. (2019)

Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives. 
Nature Energy 4(1), pp. 35-41.

Sodenkamp, M., Wenig, J., Thiesse, F., Staake, T. (2019)

Who can drive electric? Segmentation of car drivers based on longitudinal GPS travel data.
Energy Policy 130, pp. 111-129.

Griego, D., Schopfer, S., Henze, G., Fleisch, E., Tiefenbeck, V. (2018)

Aggregation effects for microgrid communities at varying sizes and prosumer‐consumer ratios 

Energy Procedia 159, pp. 346-351.

Hopf, K., Sodenkamp, M., Staake, T. (2018)
Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector
Electronic Markets 28(4), pp. 453-473.

Hopf, K. (2018) 

Mining Volunteered Geographic Information for Predictive Energy Data Analytics 

Energy Informatics 1(1), 4.

Dahlinger, A., Tiefenbeck, V., Ryder, B., Gahr, B., Fleisch, E., Wortmann, F. (2018)

The impact of numerical vs. symbolic eco-driving feedback on fuel consumption – a randomized control field trial

Transportation Research Part D 65 (2018), pp. 375-386 

Santini, S., Tiefenbeck, V. (2018) 
Editorial 6thDACH+ Conference on Energy Informatics
Computer Science - Research and Development.

Schopfer, S., Tiefenbeck, V., Fleisch, E., Staake, T. (2018)
Economic assessment of photovoltaic battery systems based on household load profiles
Applied Energy 223, p. 229-248.

Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., Staake, T. (2018) 
Overcoming salience bias: how real-time feedback fosters resource conservation
Management Science, pp. 1458-1476.

Hauser, M., Günther, S., Flath, C. M., Thiesse, F. (2017) 
Leveraging RFID Data Analytics for the Design of an Automated Checkout System 
Wirtschaftsinformatik 2017, St. Gallen, Switzerland, February 12-15.

Schöb, S., Günther, S. A., Regensburger, K., Staake, T. (2017)

NIWM: Non-intrusive water monitoring to uncover heat energy use in households

Computer Science - Research and Development, pp. 127-133.

Schopfer, S., Tiefenbeck, V., Fleisch, E., Staake, T. (2017)
Providing primary frequency control with residential scale photovoltaic-battery systems

Computer Science - Research and Development, pp. 105-115.

Sodenkamp, M., Kozlovskiy, I., Hopf, K., Staake, T. (2017) 

Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector

Wirtschaftsinformatik 2017, St. Gallen, Switzerland, February 12-15.

Tiefenbeck, V. (2017) 

Bring behaviour into the digital transformation

Nature Energy, pp. 17085-17087.

Sodenkamp, M.A., Tavana, M. and Di Caprio, D. (2016)

Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading. 

European Journal of Operational Research, 254(3), pp. 859-874.

Sodenkamp, M., Kozlovskiy, I., Staake, T. (2016)

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector 

Decision Analytics 3:1.

Scherer, M., Haubensak, O., Staake, T. (2015)

Assessing distorted trading incentives of balance responsible parties based on the example of the Swiss power system

Energy Policy, 86, pp. 792-801.

Sodenkamp, M., Hopf, K., & Staake, T. (2015)

Using Supervised Machine Learning to Explore Energy Consumption Data in Private Sector Housing

Handbook of Research on Organizational Transformations through Big Data Analytics, 320

Beckel, C., Sadamoria, L., Staake T., Santini, S. (2014) 

Revealing Household Characteristics from Smart Meter Data

Energy, vol. 78, 2014, p. 397-410

Hopf, K., Sodenkamp, M., Kozlovskiy, I., Staake, T. (2015) 

Feature extraction and filtering for household classification based on smart electricity meter data

Computer Science – Research and Development, pp. 1-8

Goebel, C., Jacobsen, H.-A., Razo, V., Doblander, C., Rivera, J., Ilg, J., Flath, C., Schmeck, H., Weinhardt, C., Pathmaperuma, D., Appelrath, H.-J., Sonnenschein, M., Lehnhoff, S., Kramer, O., Staake, T., Fleisch, E., Neumann, D., Strüker, J., Erek, K., Zarnekow, R., Ziekow, H., Lässig, J. (2014) 

Energy Informatics

Business & Information Systems Engineering, vol. 1(7), 2014.

Paefgen, J., Staake, T., Fleisch, E. (2014) 

Multivariate exposure modeling of accident risk: Insights from pay-as-you-drive insurance data

Transportation Research Part A: Policy and Practice, vol. 61, 2014, p. 27-40.

Paefgen, J., Staake, T., Thiesse, F. (2014) 

Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach

Decision Support Systems, vol. 56, 2013, p. 192-201.

Wenig, J., Staake, T. (2014) 

Evaluation of Four Possible Load Shifting Strategies for Electric Vehicles Utilizing Autoregressive Moving Average Methods for Electricity Price Forecasting

MMB & DFT 2014, 123

Burger, N., Staake, T., Fleisch, E., Hierold, C. (2013) 

Managing technology development teams – exploring the case of microsytems and nanosystems

R&D Management, vol. 43, 2013, p. 162-186

Loock, C., Staake, T., Thiesse, F. (2013)

Motivating Energy-Efficient Behavior with Green IS: An Investigation of Goal Setting and the Role of Defaults

MIS Quarterly, vol. 37(4), 2013, p. 1313-1332

Tiefenbeck, V., Staake, T., Roth, K., Sachs, O. (2013)

For better or for worse? Empirical evidence of moral licensing in a behavioral energy conservation campaign.

Energy Policy, vol. 57, 2013, p- 160-171

Tiefenbeck, V., Tasic, V., Schoeb, S., Degen, K., Goette, L., Fleisch, E., Staake, T. (2013)

Abschlussbericht der ewz-Amphiro-Studie

ETH Zurich

Sodenkamp, M.A. and Suhl, L. (2012) 

A multicriteria multilevel group decision method for supplier selection and order allocation

International Journal of Strategic Decision Sciences (IJSDS), 3(1), pp. 81-105

Staake, T., Thiesse, F., Fleisch, E. (2012)

Business Strategies in the Counterfeit Market

Journal of Business Research, vol. 65(5), 2012, pp. 658-665

Weiß, M., Staake, T., Mattern, F., Fleisch, E. (2012) 

Creating user awareness: Changing energy usage with the help of a smartphone application

Journal of Personal and Ubiquitous Computing 16(6), Special Issue on Smartphone Applications and Services for Pervasive Computing, pp. 655-664

Staake, T., Graml, T., Baeriswyl, M., Loock, C. (2011) 

Durch Online-Interaktion Kunden für Energiedienstleistungen begeistern

Zeitschrift für Energie, Markt, Wettbewerb, (2)11, 2011.

Thiesse, F., Staake, T., Schmitt, P., Fleisch, E. (2011) 

The Rise of the ‘Next-Generation Bar Code': An International RFID Adoption Study.

Supply Chain Management: An International Journal, vol. 16(5), 2011, pp. 328-345.