D3.1 - Analysis grid and interview script
Authors/Creators
Description
This deliverable D3.1 - Analysis grid and interview script provides the comparative dimensions for analyzing the spatial organization and clustering dynamics of the video game industry across Europe, with a particular focus on local and regional clusters located outside major urban centers. This report supports the GAME-ER project’s objectives by presenting a thorough account of:
- The core objectives and functionalities of the GAME-ER methodological tool, designed to analyse and map cluster activities.
- The structured design and development process of this tool, supported by in-depth interviews with key stakeholders, which reveal critical insights into the industry's clustering dynamics.
- An analysis grid that organizes the core dimensions of cluster interactions, accompanied by guidelines and interview protocols to facilitate its effective application.
The report is structured to provide a clear and progressive understanding of the GAME-ER methodological framework. The first section outlines the aims and objectives of the analysis grid and details its primary functions within the broader research framework. Subsequent sections describe the phases of the grid’s design and the rationale behind the selected dimensions, offering a breakdown of each component and its relevance to clustering analysis. The final section includes guidelines for deploying the analysis grid, ensuring its replicability for examining similar clusters in varied geographic and national contexts.
Additionally, this document captures the status of the consolidated analysis grid at month M8, providing a snapshot of its current application and readiness for broader field studies. By consolidating these resources, deliverable D3.1 positions the GAME-ER methodological tool as a valuable framework for understanding and comparing video game industry clusters across Europe.
Files
GAME-ER_D3.1_Analysis Grid and Interview Script.pdf
Files
(1.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:409b41a889f6effae2dfd4c5862307c5
|
1.4 MB | Preview Download |
Additional details
Dates
- Submitted
-
2024-10-31