Processing of CSR communication: Insights from the ELM

Activity: Talk or presentationPresentations (poster etc.)Research

Paula Maria Bögel - presenter

Purpose: Based on the elaboration likelihood model (ELM), this study examines if stakeholders with high vs. low corporate social responsibility (CSR) involvement differ in their processing of CSR communication, which could influence companies to adapt their CSR communication to the different ways of processing (central route vs. peripheral route).
Design/methodology/approach: In this study, 107 participants received information about a fictitious company. In the first phase, participants were given initial information about the company. In the second phase, participants were given the company’s CSR report. To compare the differences in information processing dependent on the CSR involvement, the sample was split at the median.
Findings: The study found that dependent on their CSR involvement, people differ in their processing of CSR communication as well as in their expectations for persuasive CSR communication.
Research limitations/implications: To further examine how involvement influences information processing and thus persuasion, an experimental design should be used including the manipulation of the level of involvement as well as the manipulation of ability.
Practical Implications: The findings suggest that CSR involvement can be used as a base for target-group specific CSR communication in order to improve communication effectiveness.
Originality/value: So far, CSR communication research has often focused on the effectiveness of communication strategies in general. In contrast, the application of the ELM offers a theoretical basis to better understand which moderator variables influences stakeholders’ processing of CSR communication and the persuasion process.
18.09.201320.09.2013

Event

International Corporate Social Responsibility Communication Conference - CSRCOM 2013

18.09.1320.09.13

Aarhus, Denmark

Event: Conference

Recently viewed

Publications

  1. Efficient and accurate ℓ p-norm multiple kernel learning
  2. Building Assistance Systems using Distributed Knowledge Representations
  3. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  4. Model inversion using fuzzy neural network with boosting of the solution
  5. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
  6. Optimizing price levels in e-commerce applications with respect to customer lifetime values
  7. Using transition management concepts for the evaluation of intersecting policy domains ('grand challenges')
  8. Structure and dynamics laboratory testing of an indirectly controlled full variable valve train for camless engines
  9. Visualizing the Hidden Activity of Artificial Neural Networks
  10. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  11. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  12. Advances in Dynamics, Optimization and Computation
  13. Sequencing and fading worked examples and collaboration scripts to foster mathematical argumentation - working memory capacity matters for fading
  14. Optimized neural networks for modeling of loudspeaker directivity diagrams
  15. Top-down contingent attentional capture during feed-forward visual processing
  16. Applied quality assurance methods under the open source development model
  17. Microstructural development of as-cast AM50 during Constrained Friction Processing: grain refinement and influence of process parameters
  18. Distributed robust Gaussian Process regression
  19. Gain Scheduling Controller for Improving Level Control Performance
  20. Machine Learning and Knowledge Discovery in Databases
  21. Problem solving in mathematics education
  22. A two-stage Kalman estimator for motion control using model predictive strategy
  23. Hypertext
  24. Combining linked data and statistical information retrieval
  25. Solving mathematical problems with dynamical sketches
  26. Complex problem solving and intelligence
  27. Multi-view learning with dependent views
  28. Promising practices for dealing with complexity in research for development