five

Enabling Inter-Organizational Collaboration Through Platforms: The Role of Trust - Datasets (Trans-SONIC project)

收藏
DataCite Commons2025-02-26 更新2025-04-08 收录
下载链接:
https://data.4tu.nl/datasets/7fcf9365-8a02-49cf-a67c-2999acd06361
下载链接
链接失效反馈
官方服务:
资源简介:
The FreightBooking game was conducted as part of the Trans-SONIC project,funded by The Dutch Research Council (NWO). <br>The FreightBooking game is played with 4 different groups and organized as such.- Group A: Gaming experts- Group B: Master student, MBA Students with expertise in logistics, and supply chain. Some have work experience in the field- Group C: Master students with expertise in supply chain networks and serious games- Group D: Master students with expertise in game design<br>For the study, two questionnaires were designed and analyzed (one pre-game questionnaire and one post-game questionnaire).- Pre-game questionniare included items to measure participants' usage of platforms in daily-life, the risk they perceived and their work experience.- Post-game questionnaire included items to meausre participants' game play (i.e., decisions during the game), game experience and disposition to trust.The pre- and post-game questionnaires were combined with the gameplay data. <br>The gameplay data consists of:- GamePlayData. This type of dataset is used to analyze the gameplay.<br>The dataset contains Per group the pre- and post-game questionnaire (PDF and .csv files), GamePlay data (fully anonymized, .csv files)<br>Additionally, zipfiles were created of the FreightBooking game. 4 zip files are included:- trustgame-admin-main.zip- trustgame-main.zip- trustgame-register-main.zip- trustgame-scores-main.zip<br>

本货运预订博弈(FreightBooking game)是荷兰研究委员会(NWO)资助的Trans-SONIC研究项目的组成部分。 该货运预订博弈共设置4个组别开展,具体分组如下: - A组:博弈领域专家 - B组:具备物流与供应链专业背景的硕士研究生、工商管理硕士(MBA)学员,其中部分人员拥有相关领域工作经验 - C组:具备供应链网络与严肃游戏(serious games)专业背景的硕士研究生 - D组:具备游戏设计专业背景的硕士研究生 本研究共设计并分析两份问卷,分别为赛前问卷与赛后问卷: - 赛前问卷用于测量参与者的日常平台使用情况、感知风险水平及工作经历 - 赛后问卷用于测量参与者的博弈行为(即博弈过程中的决策情况)、游戏体验与信任倾向 赛前与赛后问卷已与博弈行为数据完成整合。 博弈行为数据包含以下类型: - 博弈行为数据集(GamePlayData):该类数据集用于开展博弈行为分析 本数据集按组别提供了赛前问卷与赛后问卷(PDF格式与.csv格式文件),以及博弈行为数据(已完成完全匿名化处理,.csv格式文件)。 此外,本数据集还包含4个压缩包: - trustgame-admin-main.zip - trustgame-main.zip - trustgame-register-main.zip - trustgame-scores-main.zip
提供机构:
4TU.ResearchData
创建时间:
2025-02-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作