How, when, and why do negotiators use reference points? A qualitative interview study with negotiation experts.

Aktivität: Vorträge und GastvorlesungenKonferenzvorträgeForschung

Michel Mann - Sprecher*in

Marco Warsitzka - Ko-Autor*in

Roman Trötschel - Ko-Autor*in

Joachim Hüffmeier - Ko-Autor*in

    19.01.2023

    Veranstaltung

    Conference - 6th Industrial Marketing Management Summit

    19.01.2320.01.23

    Bamberg, Bayern, Deutschland

    Veranstaltung: Konferenz

    Zuletzt angesehen

    Projekte

    1. Robust sensor

    Publikationen

    1. Performance analysis for loss systems with many subscribers and concurrent services
    2. TARGET SETTING FOR OPERATIONAL PERFORMANCE IMPROVEMENTS - STUDY CASE -
    3. Metaphors and Paradigms of the Language Animal—or—The Advantage of seeing “Time Is a Resource” as a Paradigm
    4. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
    5. Errors in Training Computer Skills
    6. Special Issue The Discourse of Redundancy Introduction
    7. A comparison of ML, WLSMV and Bayesian methods for multilevel structural equation models in small samples: A simulation study
    8. Eliciting Learner Perceptions of Web 2.0 Tasks through Mixed-Methods Classroom Research
    9. Using heuristic worked examples to promote solving of reality‑based tasks in mathematics in lower secondary school
    10. Developing a Complex Portrait of Content Teaching for Multilingual Learners via Nonlinear Theoretical Understandings
    11. The Replication Database: Documenting the Replicability of Psychological Science
    12. Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
    13. Assessment of cognitive load in multimedia learning using dual-task methodology
    14. Public Value: rethinking value creation
    15. How, when and why do negotiators use reference points?
    16. Employing A-B tests for optimizing prices levels in e-commerce applications
    17. An Integrative Framework of Environmental Management Accounting
    18. Machine Learning and Data Mining for Sports Analytics
    19. Between Recognition and Abstraction