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Value-Based Management: New Pathways Toward Sustainable Governance Using Natural Language Processing

Project: Dissertation project

Project participants

Description

Firms are rethinking their value-based management (VBM) practices and have begun to pursue a corporate purpose that encompasses a broader set of stakeholders beyond merely shareholders. The purpose of the underlying research project is to lay the groundwork for advancing VBM research into its next stage. This involves exploring and developing new conceptualizations and measurements for VBM using natural language processing approaches.
StatusFinished
Period01.12.20 → 30.11.24

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Activities

  1. Active Performance in Research and Development: The Value of Contextual Fit
  2. Revisiting the concept of the script in institutional theory
  3. Domestication and/or Digital Divide – How to Overcome Binary Classifications in Analysing Everyday Internet Use and Diffusion
  4. Trajectory-based computational study of coherent behavior in flows
  5. Trajectory-based Lagrangian approaches for the extraction and characterization of coherent structures
  6. Presentation of the paper entitled "Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks"
  7. VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Provenance Language Processing and Linked Open Data Modelling
  8. A Coding Scheme to Analyse Global Text Processing in Computer Supported Collaborative Learning: What Eye Movements Can Tell Us
  9. Plenary lecture entitled: "Wavelet Packets for Applications in Signal Processing and Control Systems"
  10. Improving Production Scheduling with Machine Learning
  11. Short course on numerical methods for stochastic processes
  12. Framing Emerging Technologies in Interstitial Issue Fields: Insights from the Blockchain Technology

Publications

  1. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  2. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  3. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  4. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  5. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  6. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  7. Computational modeling of material flow networks
  8. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  9. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  10. Anomaly detection in formed sheet metals using convolutional autoencoders
  11. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  12. Framework for setting up and operating biobanks
  13. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  14. Perfect anti-windup in output tracking scheme with preaction
  15. Introducing a multivariate model for predicting driving performance
  16. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  17. Reading and Calculating in Word Problem Solving
  18. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  19. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  20. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  21. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  22. Age-related differences in processing visual device and task characteristics when using technical devices
  23. Enhancing Performance of Level System Modeling with Pseudo-Random Signals
  24. Neural Combinatorial Optimization on Heterogeneous Graphs
  25. Transformer with Tree-order Encoding for Neural Program Generation
  26. Learning Rotation Sensitive Neural Network for Deformed Objects' Detection in Fisheye Images
  27. Using Local and Global Self-Evaluations to Predict Students' Problem Solving Behaviour
  28. Implicit statistical learning and working memory predict EFL development and written task outcomes in adolescents
  29. Microstructural development of as-cast AM50 during Constrained Friction Processing: grain refinement and influence of process parameters
  30. A decoupled MPC using a geometric approach and feedforward action for motion control in robotino
  31. Evaluating the construct validity of Objective Personality Tests using a multitrait-multimethod-Multioccasion-(MTMM-MO)-approach
  32. XOperator - Interconnecting the semantic web and instant messaging networks
  33. Development of a quality assurance framework for the open source development model
  34. Managing Business Process in Distributed Systems: Requirements, Models, and Implementation