Data underlying the publication: Improving Decision Quality in High-Tech System Design: An In-Depth Study Leveraging Industry Expertise

Dataset containing the data underlying the publication titled "Improving Decision Quality in High-Tech System Design: An In-Depth Study Leveraging Industry Expertise". It consists of three parts:A file containing all data from a survey among 93 systems engineers from a high-tech company from the semiconductor industryA file containing all data from case studies at the same companySeveral figures resulting from analysing the survey data based on the systems engineers' backgrounds (position in the company and work experience)<br>The purpose of the data collection was to gain insights into decision quality in systems engineering practice at a high-tech company that develops increasingly complex systems. <br>Parts 1 and 2 were used together in triangulation; combining multiple sources of data for stronger results. The survey asked industry experts for their insights on their decision-making processes and on decision-making in general. All participants replied to a general request for filling in the survey that was distributed among the whole systems engineering department of the company. No further selection was done. The case studies contain twelve cases of decisions (with both good and bad outcomes) within a development project that is representative for the company. Each case is a description of the decision, its outcomes, and the factors influencing the link between decision and outcomes. Cases were studied by the researcher in consultation with several systems engineering experts from the company. A detailed description of the methods used can be found in the publication.<br>Part 3 is supplementary to the analysis described in the publication in which only the notable results were treated. It treats differences in focus on decision quality based on the systems engineers' position in the company and their work experience.<br>All data was collected under the approval of the Ethics Committee of the faculty of Engineering Technology of the University of Twente under application numbers 230432 and 240305. These were approved on 03-07-2023 and 11-04-2024 respectively. Informed consent was obtained from all subjects involved in the study.

本数据集支撑题为《提升高科技系统设计中的决策质量：一项依托行业专业知识的深度研究》的学术出版物。数据集包含三部分内容：
其一为来自某半导体行业高科技企业的93名系统工程师调研的全部原始数据文件；
其二为同企业开展的系列案例研究的全部数据文件；
其三为基于系统工程师的岗位背景（企业内岗位与工作年限）对调研数据进行分析后生成的各类分析图表。

本次数据采集的核心目标，是为深入剖析一家持续研发复杂度不断提升的系统的高科技企业，其系统工程实践中的决策质量获取相关洞见。

第一、二部分采用三角验证法结合使用，通过整合多源数据以强化研究结论的可靠性。本次调研面向该企业全体系统工程部门发布征集邀请，所有参与者均自愿参与调研，未进行额外筛选。调研内容围绕行业专家自身的决策流程及通用决策场景展开。

案例研究部分包含12个该企业典型开发项目中的决策案例（涵盖成败两类结果），每个案例均对决策本身、最终结果以及影响决策与结果之间关联的各类因素进行了详细说明。本研究的案例分析由研究者联合该企业多位系统工程专家共同完成。相关研究方法的详细说明可参阅前述学术出版物。

第三部分为前述出版物中仅呈现核心结论的分析内容的补充拓展，聚焦于基于系统工程师的企业岗位与工作经验差异，其对决策质量的关注重点存在的不同。

所有数据采集工作均已获得荷兰特文特大学工程技术学院伦理委员会的审批，审批申请编号分别为230432与240305，审批通过日期分别为2023年7月3日与2024年4月11日。本研究已获取所有参与受试者的知情同意。