Kreft, M., Brudermueller, T., Fleisch, E., & Staake, T. (2024). Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity. Applied Energy, 370, 1–15. https://doi.org/10.1016/j.apenergy.2024.123544

Brudermüller, T., Kreft, M., Fleisch, E., & Staake, T. (2023). Large-scale monitoring of residential heat pump cycling using smart meter data. Applied Energy, 350(15 November 2023), 121734. https://doi.org/10.1016/j.apenergy.2023.121734

Dangis, G., Terho, K., Graichen, J., Günther, S. A., Rosio, R., Salanter?, S., Staake, T., Stingl, C., & Pakarinen, A. (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), 1–18. https://doi.org/10.1371/journal.pone.0280686

Fang, X., Goette, L., Rockenbach, B., Sutter, M., Tiefenbeck, V., Schoeb, S., & Staake, T. (2023). Complementarities in behavioral interventions: Evidence from a field experiment on resource conservation. Journal of Public Economics, 228(105028), 1–20. https://doi.org/10.1016/j.jpubeco.2023.105028

Hopf, K., Müller, O., Shollo, A., & Thiess, T. (2023). Organizational Implementation of AI: Craft and Mechanical Work. California Management Review, 66(1), 23–47. https://doi.org/10.1177/00081256231197445

Graichen, J. (2022). The economic impact of infectious diseases of children at kindergarten age. Public-Health-Forum, 30(3), 201–203. https://doi.org/10.1515/pubhef-2022-0039

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, Published online: 07 Apr 2022, 1–37. https://doi.org/10.1080/12460125.2022.2059172

Shollo, A., Hopf, K., Thiess, T., & Müller, O. (2022). Shifting ML value creation mechanisms: A process model of ML value creation. The Journal of Strategic Information Systems, 31(3). https://doi.org/10.1016/j.jsis.2022.101734

Weigert, A. (2022). Identification and classification of heat pump problems in the field and their implication for a user-centric problem recognition. Energy Informatics, 5(1), 1–37. https://doi.org/10.1186/s42162-022-00250-3

Weigert, A., Hopf, K., Günther, S. A., & 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(October), 1–15. https://doi.org/10.1016/j.enpol.2022.113156

Günther, S., Staake, T., Sch?b, 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. https://doi.org/10.1016/j.gloenvcha.2020.102123

Hauser, M., Günther, S., Flath, C., & Thiesse, F. (2019). Towards Digital Transformation in Fashion Retailing: A Design-Oriented IS Research Study of Automated Checkout Systems. Business & Information Systems Engineering, 61(1), 51–66. https://doi.org/10.1007/s12599-018-0566-9

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(July), 111–129. https://doi.org/10.1016/j.enpol.2019.03.048

Tiefenbeck, V., W?rner, A., Sch?b, 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), 35–41. https://doi.org/10.1038/s41560-018-0282-1

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, Art. 113787. https://doi.org/10.1016/j.apenergy.2019.113787

Hopf, K. (2018). Mining volunteered geographic information for predictive energy data analytics. Energy Informatics, 1(4). https://doi.org/10.1186/s42162-018-0009-3

Schopfer, S., Tiefenbeck, V., & Staake, T. (2018). Economic assessment of photovoltaic-battery systems based household load profiles. Applied Energy, 223, 229–248. https://doi.org/10.1016/j.apenergy.2018.03.185

Sch?b, S., Günther, S., Regensburger, K., & Staake, T. (2018). NIWM: non-intrusive water monitoring to uncover heat energy use in households. Computer Science - Research and Development, 33(1/2), 127–133. https://doi.org/10.1007/s00450-017-0353-8

Stingl, C., Hopf, K., & Staake, T. (2018). Explaining and predicting annual electricity demand of enterprises – a case study from Switzerland. Energy Informatics, 1(Suppl. 1), 50. https://doi.org/10.1186/s42162-018-0028-0

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, 64(3), 1458–1476. https://doi.org/10.1287/mnsc.2016.2646

Hopf, K., Sodenkamp, M., & Staake, T. (2017). Enhancing energy efficiency in the residential sector with smart meter data analytics. Electronic Markets, (2018), First Online: 17 March 2018. https://doi.org/10.1007/s12525-018-0290-9

Schopfer, S., Tiefenbeck, V., Fleisch, E., & Staake, T. (2017). Providing primary frequency control with residential scale photovoltaic-battery systems: A techno-economic simulation study of a virtual power plant. Computer Science - Research and Development, 32(1/2), 105–115. https://doi.org/10.1007/s00450-016-0318-3

Hopf, K., Sodenkamp, M., Kozlovskiy, I., & Staake, T. (2016). Feature extraction and filtering for household classification based on smart electricity meter data. Computer Science - Research and Development, 31, 141–148. https://doi.org/10.1007/s00450-014-0294-4

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). https://doi.org/10.1186/s40165-015-0018-2

Sodenkamp, M., Tavana, M., & 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), 859–874. https://doi.org/10.1016/j.ejor.2016.04.015

Graichen, J., Stingl, C., Pakarinen, A., Rosio, R., Terho, K., Günther, S. A., Salanter?, S., & Staake, T. (2024). Improving hand hygiene of young children with a digital intervention: a cluster-randomised controlled field trial. Scientific Reports, 14(1, 6157), 1–10. https://doi.org/10.1038/s41598-024-56233-9

Hopf, K. (2024). KI-Wertsch?pfung in Unternehmen: Evolution statt Revolution. Red Stack Magazin, 4, 18–21.

Hopf, K., & Benjamin Linnik. (2024). Ph?nix aus der Asche: KI braucht langfristige Perspektiven. Heise online, KI Navigator #4.

Vogel, B. (2021). Wozu Smart Meter gut sind. ET Elektrotechnik, 4, 46–49.

Gajowniczek, K., Z?bkowski, T., & Sodenkamp, M. (2018). Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms. Applied Sciences, 8(9), 1–24. https://doi.org/10.3390/app8091654

Sodenkamp, M. A., Tavana, M., & Di Caprio, D. (2018). An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets. Applied Soft Computing, 71, 715–727. https://doi.org/10.1016/j.asoc.2018.07.020

Sodenkamp, M., & Staake, T. (2016). Smart-Meter-Datenanalyse für massenmarkttaugliche Energiedienstleistungen. asut-Bulletin, Organ der asut (Schweizerischer Verband der Telekommunikation), 3, 32–33.

Vogel, B. (2016a). IT-unterstützte Energieberatung. Haus-Tech, 29(9), 56–59.

Vogel, B. (2016b). Conseil en énergie assisté par ordinateur - Conjonction du smart metering et du machine learning. Bulletin, 107 (2016), 9, 48–52.

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(November 2015), 792–801. https://doi.org/10.1016/j.enpol.2015.08.025

Loock, C.-M., Staake, T., & Thiesse, F. (2013). Motivating Energy-Efficient Behavior with Green IS: An Investigation of Goal Setting and the Role of Defaults. MIS Quarterly, 37(4), 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, 57(June 2013), 160–171. https://doi.org/10.1016/j.enpol.2013.01.021

Sodenkamp, M., & Suhl, L. (2012). A Multicriteria Multilevel Group Decision Method for Supplier Selection and Order Allocation. International Journal of Strategic Decision Sciences, 3(1), 81–105. https://doi.org/10.4018/ijsds.2012010103

Staake, T., Thiesse, F., & Fleisch, E. (2012). Business Strategies in the Counterfeit Market. Journal of Business Research, 65(5), 658–665.

Tulusan, J., Steggers, H., Staake, T., & Fleisch, E. (2012). Supporting eco-driving with eco-feedback technologies: Recommendations targeted at improving corporate car drivers’ intrinsic motivation to drive more sustainable. Proceedings of Energy Informatics, 12(3).

Wei?, M., Staake, T., Mattern, F., & Fleisch, E. (2012). PowerPedia: changing energy usage with the help of a community-based smartphone application. Personal and Ubiquitous Computing, 16(6), 655–664. https://doi.org/10.1007/s00779-011-0432-y

Staake, T., Graml, T., Loock, C.-M., & Baeriswyl, M. (2011b). Mit Verhaltenswissenschaft zum erfolgreichen Kundenportal: Wie Velix die Vorarlberger zum Energiesparen bringt. Bulletin, 1, 8–10.

Staake, T., Graml, T., Loock, C.-M., & Baeriswyl, M. (2011a). Durch Online-Interaktion Kunden für Energiedienstleistungen begeistern. e|m|w Zeitschrift für Energie, Markt, Wettbwerb, 2, 54–57.

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, 16(5), 328–345. https://doi.org/10.1108/13598541111155848

Ilic, A., Ng, J. W. P., Bowman, P., & Staake, T. (2009). The value of RFID for RTI management. Electronic Markets, 19(2/3), 125–135. https://doi.org/10.1007/s12525-009-0011-5

Ilic, A., Staake, T., & Fleisch, E. (2009). Using Sensor Information to Reduce the Carbon Footprint of Perishable Goods. IEEE Pervasive Computing, 8(1), 22–29. https://doi.org/10.1109/MPRV.2009.20

Loock, C.-M., Staake, T., & Fleisch, E. (2009). Kundenportale in der Energiebranche: Bestandsaufnahme und Entwicklungspotenziale. Zeitschrift für Energiewirtschaft, 33(3), 268–274. https://doi.org/10.1007/s12398-009-0032-y

Staake, T., Thiesse, F., & Fleisch, E. (2009). The Emergence of Counterfeit trade: A Literature Review. European Journal of Marketing, 43(3/4), 320–349.

Pionteck, T., Stiefmeier, T., Staake, T., & Glesner, M. (2007). On The Design of A Dynamically Reconfigurable Function-Unit for Error Detection And Correction. Vlsi-Soc, 283–297. https://doi.org/10.1007/978-0-387-73661-7_18

Bayer, D. R., Haag, F., Pruckner, M., & Hopf, K. (2024). Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study. Proceedings of the 9th International Conference on Smart and Sustainable Technologies 2024 (SpliTech), 10, 1–6. https://doi.org/10.23919/splitech61897.2024.10612563

Hopf, K., Joshi, M., Stelmaszak, M., & Shollo, A. (2024). Crafting Ever-Changing Data Products: Towards a Human-Centered Process Model of Data Work. ECIS 2024 Proceedings, 1–17.

Brudermueller, T., Breer, F., & Staake, T. (2023). Disaggregation of Heat Pump Load Profiles From Low-Resolution Smart Meter Data. BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 228–231. https://doi.org/10.1145/3600100.3623731

Giacomazzi, E., Haag, F., & Hopf, K. (2023). Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. Proceedings of the 14th ACM International Conference on Future Energy Systems, 353–360. https://doi.org/10.1145/3575813.3597345

Graichen, J., & Staake, T. (2023). Information Systems Research for the Next Generation: Child-Centricity in a Digital World. Proceedings of the 56th Hawaii International Conference on System Sciences, 2023, 4026–4035.

Haag, F., Günther, S., Hopf, K., Handschuh, P., Klose, M., & Staake, T. R. (2023). Addressing Learners’ Heterogeneity in Higher Education: an Explainable AI-based Feedback Artifact for Digital Learning Environments. Proceedings of the 18th Internationale Tagung Wirtschaftsinformatik.

Haag, F., Stingl, C., Zerfass, K., Hopf, K., & Staake, T. (2023). Overcoming Anchoring Bias: the Potential of AI and XAI-based Decision Support. Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies: ICIS 2023, Proceedings, 1–17.

Hopf, K., Hartstang, H., & Staake, T. R. (2023). Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy), 32–39. https://doi.org/10.1145/3599733.3600248

Kaiser, K., Kreft, M., Stai, E., Vayá, M. G., Hug, G., & Staake, T. (2023). Reducing power peaks in low-voltage grids via dynamic tariffs and automatic load control. 27th International Conference on Electricity Distribution (CIRED 2023), 1475–1479. https://doi.org/10.1049/icp.2023.0772

Stingl, C. (2023). Using Digital Performance Feedback for Behavior Change: a Review. AMCIS 2023 Proceedings, 1–11.

Brudermüller, T., Wirth, F., Weigert, A., & Staake, T. (2022). Automatic Differentiation of Variable and Fixed Speed Heat Pumps With Smart Meter Data. 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 412–418. https://doi.org/10.1109/SmartGridComm52983.2022.9961055

Graichen, J., Stingl, C., Günther, S., Staake, T., Pakarinen, A., Rosio, R., & Salanter?, S. (2022). No Longer Without a Reward: Do Digital Rewards Crowd Out Intrinsic Motivation of Young Children?. ICIS 2022 Proceedings.

Haag, F., Hopf, K., Menelau Vasconcelos, P., & Staake, T. (2022). Augmented Cross-Selling Through Explainable AI: a Case From Energy Retailing. ECIS 2022 Proceedings, 1–19.

Michels, L., Ochmann, J., Günther, S., Laumer, S., & Tiefenbeck, V. (2022). Empowering Consumers to Make Environmentally Sustainable Online Shopping Decisions: A Digital Nudging Approach. Proceedings of the 55th Annual Hawaii International Conference on System Sciences: January 3-7, 2022.

Stingl, C., Günther, S., & Staake, T. (2022). The Behavioral Mechanisms Behind Feedback:? A Preliminary Model for Quantifying Cause-Effect Relationships. ECIS 2022: Research-in-Progress-Papers.

Fteimi, N., & Hopf, K. (2021). Knowledge Management in the Era of Artificial Intelligence: Developing an Integrative Framework. ECIS 2021 Proceedings.

Graichen, J. (2021b). Infectious illnesses of young children: financial burden for rich countries - a literature review. European Journal of Public Health, 31(Supplement_3), 533–534. https://doi.org/10.1093/eurpub/ckab165.514

Graichen, J. (2021a). Estimating cost of illness for kindergarten children with contagious diseases in Germany. European Journal of Public Health, 31(Supplement_3), 261. https://doi.org/10.1093/eurpub/ckab164.683

Günther, S. (2021). The impact of social norms on students’ online learning behavior: Insights from two randomized controlled trials. LAK21: 11th International Learning Analytics and Knowledge Conference, 12–21. https://doi.org/10.1145/3448139.3448141

Stingl, C., Günther, S., & Staake, T. (2021). A Feedback Information System for Improving Hand Hygiene on a Personal and Organizational Level. Wirtschaftsinformatik 2021 Proceedings.

Wastensteiner, J., Weiss, T. M., Haag, F., & Hopf, K. (2021). Explainable AI for Tailored Electricity Consumption Feedback: An Experimental Evaluation of Visualizations. ECIS 2021 Proceedings, 1–19.

Günther, S., Stingl, C., Coroam?, V. C., Sch?b, S., & Staake, T. (2020). Empowering personalized feedback on hot water usage: a field study with shower meters. SAC ’20: Proceedings of the 35th Annual ACM Symposium on Applied Computing, 763–766. https://doi.org/10.1145/3341105.3374053

Günther, S., Veihelmann, T., & Staake, T. (2020). Leveraging Social Norms to Encourage Online Learning: Empirical Evidence from a Blended Learning Course. ICIS 2020: Proceedings, Paper Number; 1205, 1–17.

Weigert, A., Hopf, K., Weinig, N., & Staake, T. (2020). Detection of heat pumps from smart meter and open data. Energy Informatics, 3(1), 14. https://doi.org/10.1186/s42162-020-00124-6

Weigert, A., Hopf, K., & Staake, T. (2019). A Cognitive Computing Solution to Foster Retailing of Renewable Energy Systems. https://doi.org/10.20378/IRB-47040

Kupfer, A. (2018a). Self-tracking or Not? That is the question. Item Generation for Construct Development. Data Driven X: Turning Data into Value: Multikonferenz Wirtschaftsinformatik (MKWI) 2018: Leuphana Universit?t, 6.-9. M?rz 2018, 3, 1020–1026.

Kupfer, A. (2018b). Research Methods in the Information Systems Discipline: A Literature Analysis of Conference Papers. AMCIS 2018: Proceedings.

Kupfer, A., Tiefenbeck, V., & Staake, T. (2018). The Ambiguous Boundary Between Professional and Private Use of Information Systems. Proceedings of the European Conference on Information Systems.

Ableitner, L., Tiefenbeck, V., Hosseini, S., Sch?b, S., Fridgen, G., & Staake, T. (2017). Real-world impact of Information Systems: The effect of seemingly small design choices. Proceedings of the Workshop on Information Technologies and Systems (WITS), Seoul, South Korea, December 2017, 387–402.

Hauser, M., Günther, S., Flath, C. M., & Thiesse, F. (2017a). Leveraging RFID Data Analytics for the Design of an Automated Checkout System. Tagungsband Der Wirtschaftsinformatik, 1201–1204.

Hauser, M., Günther, S., Flath, C., & Thiesse, F. (2017b). Designing Pervasive Information Systems: A Fashion Retail Case Study. ICIS 2017: Proceedings.

Hopf, K., Kormann, M., Sodenkamp, M., & Staake, T. (2017). A Decision Support System for Photovoltaic Potential Estimation. IML ’17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Article No.: 3, 1–10. https://doi.org/10.1145/3109761.3109764

Hopf, K., Riechel, S. J., Sodenkamp, M., & Staake, T. (2017). Predictive Customer Data Analytics: The Value of Public Statistical Data and the Geographic Model Transferability. ICIS 2017 Proceedings, 1–20.

Sodenkamp, M., Kozlovskiy, I., Hopf, K., & Staake, T. (2017). Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector. Proceedings Der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), 1235–1249.

Ableitner, L., Kupfer, A., Tiefenbeck, V., Sch?b, S., & Staake, T. (2016). Resource Conservation with Green IS: A Field Experiment on Pecuniary and Non-pecuniary Strategies. Proceedings of the SIG Green Pre-ICIS Workshop.

Hopf, K., Sodenkamp, M., & Kozlovskiy, I. (2016). Energy Data Analytics for Improved Residential Service Quality and Energy Efficiency. Proceedings of the 24. European Conference on Information Systems (ECIS).

Hopf, K., Sodenkamp, M., Kozlovskiy, I., & Staake, T. (2016). Household classification using annual electricity consumption data.

Kozlovskiy, I., Sodenkamp, M., Hopf, K., & Staake, T. (2016). Energy Informatics for Environmental, Economic and Societal Sustainability: A Case of the Large-Scale Detection of Households with Old Heating Systems. Proceedings of the 24. European Conference on Information Systems (ECIS).

Kupfer, A., Ableitner, L., Sch?b, S., & Tiefenbeck, V. (2016). Technology Adoption vs. Continuous Usage Intention: do Decision Criteria Change when Using a Technology?. Proceedings of the 22th Americas Conference on Information Systems (AMCIS).

Kupfer, A., Kehr, F., & Tiefenbeck, V. (2016). Towards a measurement scale for self-tracking: Attitudes and user characteristics. Proceedings of the 24th European Conference on Information System (ECIS).

Lossin, F., Kozlovskiy, I., Sodenkamp, M., & Staake, T. (2016). Incentives to go green: An empirical investigation of monetary and symbolic rewards to motivate energy savings. Proceedings of the 24. European Conference on Information Systems (ECIS).

Tiefenbeck, V., Tasic, V., Sch?b, S., & Staake, T. (2016). Long-lasting effects or short-term spark?: On the persistence of behaviour change induced by real-time feedback on resource consumption. Proceedings of the 24th European Conference on Information System (ECIS).

Hopf, K., Dagef?rde, F., & Wolter, D. (2015). Identifying the Geographical Scope of Prohibition Signs. Spatial Information Theory: 12th International Conference, COSIT 2015 Santa Fe, NM, USA, October 12–16, 2015, Proceedings, 247–267. https://doi.org/10.1007/978-3-319-23374-1_12

Sodenkamp, M., Kozlovskiy, I., & Staake, T. (2015). Gaining IS Business Value through Big Data Analytics: A Case Study of the Energy Sector. ICIS 2015 Proceedings.

Tasic, V., Tiefenbeck, V., Sch?b, S., & Staake, T. (2015). Short-term Spark or Sustained Impact? Investigating the Long-term Effect of Real-time Feedback. Proceedings: 23rd European Conference on Information Systems (ECIS 2015) , Münster, Germany, May 26-29, 2015.

Avrachenkov, K., Bazan, P., Bisconti, C., Brandes, U., Colle, D., Corallo, A., De Turck, K., Demeester, P., Duboz, R., Eger, K., Feuchtinger, U., Fiems, D., Fortunato, L., Frank, R., Gentile, A. A., German, R., Gloor, P. A., Grahl, J., Haverkort, B. R., … Zweig, K. A. (2014). MMB & DFT 2014: Proceedings of the International Workshops; Modeling, Analysis and Management of Social Networks and their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014). https://doi.org/10.20378/irb-2869

Kleiminger, W., Beckel, C., Staake, T., & Santini, S. (2013). Occupancy Detection from Electricity Consumption Data. BuildSys’13: Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, 1–8. https://doi.org/10.1145/2528282.2528295

Tiefenbeck, V., Tasic, V., Staake, T., & Sch?b, S. (2013). Mechatronics to drive environmental sustainability: measuring, visualizing and transforming consumer patterns on a large scale. ENERGIEINFORMATIK 2013: 2. D-A-C-H ENERGIEINFORMATIK KONFERENZ 12.-13. NOVEMBER 2013, WIEN; TAGUNGSBAND, 24–29.

Baeriswyl, M., Przepiorka, W., Staake, T., & Fleisch, E. (2012). Identifying individuals’ preferences using games: A field experiment in promoting sustainable energy consumption. International Conference on Information Systems 2011 (ICIS 2011) 4 - 7 December 2011, Shanghai, China: East Meets West; Connectivity and Collaboration through Effective Information Systems: Proceedings, Volume 2, 1029–1039.

Loock, C.-M., Landwehr, J., Staake, T., Fleisch, E., & Pentland, A. (2012). The influence of reference frame and population density on the effectiveness of social normative feedback on electricity consumption. Proceedings of the 33rd International Conference on Information Systems (ICIS).

Paefgen, J., Skorna, A. C. H., Staake, T., & Fleisch, E. (2012). Einsatz ubiquit?rer Informationssysteme in der Versicherungswirtschaft: Gestaltung von Pay-Per-Risk Tarifierungsmodellen. MMS 2012: Mobile und ubiquit?re Informationssysteme; 7. Konferenz zur “Mobile und Ubiquit?re Informationssysteme”; 01. - 02. M?rz 2012 in Braunschweig, Germany, 83–95.

Tasic, V., Staake, T., Stiefmeier, T., Tiefenbeck, V., Fleisch, E., & Tr?ster, G. (2012). Self-powered Water Meter for Direct Feedback. Proceedings of 2012 International Conference on the Internet of Things: (IOT); October 24-26, 2012 , Wuxi, China, 24–30. https://doi.org/10.1109/IOT.2012.6402300

Tulusan, J., Staake, T., & Fleisch, E. (2012b). Providing eco-driving feedback to corporate car drivers: what impact does a smartphone application have on their fuel efficiency.. UbiComp ’12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 212–215. https://doi.org/10.1145/2370216.2370250

Tulusan, J., Staake, T., & Fleisch, E. (2012a). Direct or indirect sensor enabled eco-driving feedback: Which preference do corporate car drivers have?. Proceedings of 2012 International Conference on the Internet of Things, 39–46. https://doi.org/10.1109/IOT.2012.6402302

Wei?, M., Loock, C.-M., Staake, T., Mattern, F., & Fleisch, E. (2012). Evaluating Mobile Phones as Energy Consumption Feedback Devices. Mobile and Ubiquitous Systems: Computing, Networking, and Services; 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers, 73 (2012), 63–77.

Baeriswyl, M., Staake, T., & Loock, C.-M. (2011). The effects of user identity and sanctions in online communities on real-world behavior. ICIS 2011 Proceedings.

Graml, T., Loock, C.-M., Baeriswyl, M., & Staake, T. (2011). Improving residential energy consumption at large using persuasive systems. Proceedings of the 19th European Conference on Information Systems Elektronische Ressource Helsinki, Finland, June 9 - 11, 2011.

Loock, C.-M., Graml, T., Baeriswyl, M., & Staake, T. (2011). How to motivate energy efficiency online. IAMOT 2011: Conference Proceedings.

Loock, C.-M., Landwehr, J., Staake, T., Fleisch, E., & Herrmann, A. (2011). I am green: The role of effort and image on green identity signaling. EMAC 2011: The Day after: Inspiration, Innovation, Implementation: Conference Proceedings.

Loock, C.-M., Staake, T., & Landwehr, J. (2011). Green IS Design and Energy Conservation: An Empirical Investigation of Social Normative Feedback. ICIS 2011 Proceedings.

Paefgen, J., Michahelles, F., & Staake, T. (2011). GPS Trajectory Feature Extraction for Driver Risk Profiling. Proceedings of the 2011 International Workshop on Trajectory Data Mining and Analysis, 53–56. https://doi.org/10.1145/2030080.2030091

Tulusan, J., Staake, T., Soi, L., Paefgen, J., & Brogle, M. (2011). Eco-efficient feedback technologies: Which eco-feedback types prefer drivers most?. 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2011) Lucca, Italy, 20 - 24 June 2011, 268–275.

Dada, A., Staake, T., & Fleisch, E. (2010). Reducing Environmental Impact in Procurement by Integrating Material Parameters in Information Systems: The Example of Apple Sourcing. AMCIS 2010 Proceedings.

Mattern, F., Staake, T., & Wei?, M. (2010). ICT for Green: How computers can help us to conserve energy. Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, 1–10.

Wei?, M., Staake, T., Fleisch, E., & Merkle, A. (2010). Towards a PowerPedia: A collaborative energy encyclopedia. 12th ACM International Conference on Ubiquitous Computing: Workshop Papers.

Wei?, M., Graml, T., Staake, T., Mattern, F., & Fleisch, E. (2009). Handy feedback: Connecting smart meters with mobile phones. Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia.

Dada, A., Staake, T., & Fleisch, E. (2008). The Potential of UbiComp Technologies to Determine the Carbon Footprints of Products. International Conference on Pervasive Computing, 6th, May 19-22 2008, Sydney, Australia: Workshoppaper.

Lehtonen, M., Staake, T., Michahelles, F., & Fleisch, E. (2006). Strengthening the Security of Machine Readable Documents by Combining RFID and Optical Memory Devices. Developing Ambient Intelligence: Proceedings of the First International Conference on Ambient Intelligence Developments (AmID’06), 77–92. https://doi.org/10.1007/978-2-287-47610-5_6

Nochta, Z., Staake, T., & Fleisch, E. (2006). Product Specific Security Features Based on RFID Technology. Proceedings, International Symposium on Applications and the Internet Workshops: January 23 - 27, 2006, Phoenix, Arizona / Co-Sponsored by the IEEE Computer Society (IEEE-CS) and the Information Processing Society of Japan (IPSJ), 72–75. https://doi.org/10.1109/SAINT-W.2006.34

Pionteck, T., Staake, T., Stiefmeier, T., Kabulepa, L. D., & Glesner, M. (2004). On the Design of a Function Specific Reconfigurable Hardwre Accelerator for the MAC-Layer in WLANs. Proceedings of the 2004 ACMSIGDA 12th International Symposium on Field Programmable Gate Arrays, 258. https://doi.org/10.1145/968280.968352

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Staake, Thorsten Robert/Tiefenbeck, Verena/Stiefmeier, Thomas (2023): Information Systems and Behavioural Change: Feedback Interventions to curb the consumption of natural resources. In: Cooper, Vanessa A. et al. (Hg.): Research handbook on information systems and the environment. Cheltenham: Edward Elgar Publishing. S. 253–274.

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Sodenkamp, Mariya/Hopf, Konstantin/Staake, Thorsten (2015): Using Supervised Machine Learning to Explore Energy Consumption Data in Private Sector Housing. In: Tavana, Madjid/Puranam, Kartikeya (Hg.): Handbook of Research on Organizational Transformations through Big Data Analytics. Hershey, Pennsylvania (USA): IGI Global. S. 320–333.

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Wenig, Jürgen/Staake, Thorsten (2014): Evaluation of Four Possible Load Shifting Strategies for Electric Vehicles Utilizing Autoregressive Moving Average Methods for Electricity Price Forecasting. In: Fischbach, Kai et al. (Hg.): MMB & DFT 2014: Proceedings of the International Workshops; Modeling, Analysis and Management of Social Networks and their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014). Bamberg: University of Bamberg Press. S. 123–126. (= Schriften aus der Fakult?t Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universit?t Bamberg 16).

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