Enhancing Evidence-based Managerial Decisions through Customized Decision Support: A Neuro-Information Systems' Approach

通过定制决策支持增强基于证据的管理决策：神经信息系统方法

• 批准号: RGPIN-2022-05417
• 负责人: Hassanein, Khaled
• 金额: $ 2.99万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=746440
• 关键词: Enhancing; Evidence; based; Managerial; Decisions

Effective evidenced-based managerial decision-making, whether made individually or in groups, is a critical success factor for organizations; it is a complex task involving the searching, processing, integration, and contextualization of information from a wide variety of sources. This complexity has been further exacerbated as decision makers face an overabundance of data and an ever-increasing dimensionality to managerial problems. Furthermore, organizational decisions are increasingly made in group settings where decisions can become polarized. Finally, the advancement of information and communication technologies and global networks, as well as COVID-19 related restrictions, have increased the prevalence of group decisions made in virtual teams. This research program will enhance and support evidence-based managerial decision making in organizations. The literature shows that evidence-based decision making can be viewed as dynamic processes through which decision makers (individuals or groups), supported by information technology (i.e., decision aids), obtain, interpret, and use evidence as a basis for decision making within their organizational context. Accordingly, this research will combine traditional human-computer interaction research methods (e.g., surveys, interviews) and expertise in decision sciences with cutting edge neurophysiological measures (e.g., EEG, pupillometry, and skin conductance, as well as behavioural measures such as eye movements) to achieve the following objectives: 1) understand the real-time cognitive and brain mechanisms of evidence gathering and decision making in realistic individual/group evidence-based managerial decision making situations, including those involving various cognitive biases (e.g., framing, representativeness); 2) develop customizable decision aids to best support evidence-based managerial decision making in individual and group (both co-located and virtual) settings. This program of research will leverage the relatively unique NeuroIS infrastructure at the McMaster Digital Transformation Research Centre (founded by the Applicant) secured through multiple recent CFI infrastructure grants. The fusion of psychological, behavioural, and neurophysiological approaches affords a unique opportunity to gain a comprehensive understanding of how subjects interpret and use evidence in decision making in a variety of settings. The proposed program of research will significantly advance our understanding of evidence-based managerial decision making in organizations and result in guidelines and tools to reduce decision makers' cognitive burden and improve decision making outcomes. It will provide ample training opportunities for both graduate and undergraduate students. Through this program, students will have opportunities to develop skills in state-of-the-art human-computer interaction, NeuroIS techniques and the design of decision aids using interdisciplinary research methodologies.

有效的循证管理决策，无论是单独做出还是集体做出，都是组织成功的关键因素；它是一项复杂的任务，涉及从各种来源搜索、处理、整合和背景信息。随着决策者面临过多的数据和管理问题的维度不断增加，这种复杂性进一步加剧。此外，组织决策越来越多地在团队环境中做出，在这种环境中，决策可能变得两极分化。最后，信息和通信技术和全球网络的进步，以及与新冠肺炎相关的限制，增加了在虚拟团队中做出群体决策的普遍性。这项研究计划将加强和支持组织中基于证据的管理决策。文献表明，基于证据的决策可以看作是决策者(个人或群体)在信息技术(即决策辅助工具)的支持下获取、解释和使用证据作为其组织背景下决策的基础的动态过程。因此，这项研究将结合传统的人机交互研究方法(如调查、访谈)和决策科学的专业知识与前沿的神经生理学测量(如脑电、瞳孔测量和皮肤电导，以及行为测量如眼动)来实现以下目标：1)了解现实的个人/群体基于证据的管理决策情景中证据收集和决策的实时认知和大脑机制，包括涉及各种认知偏差(例如，框架、代表性)的情景；2)开发可定制的决策辅助工具，以最好地支持个人和团队(包括共处环境和虚拟环境)中基于证据的管理决策。该研究项目将利用麦克马斯特数字转型研究中心(由申请人创建)相对独特的NeuroIS基础设施，通过最近的多笔CFI基础设施赠款获得。心理学、行为学和神经生理学方法的融合提供了一个独特的机会，可以全面理解受试者在不同环境下如何解释和使用证据。拟议的研究计划将极大地促进我们对组织中基于证据的管理决策的理解，并产生减轻决策者认知负担和改善决策结果的指导方针和工具。它将为研究生和本科生提供充足的培训机会。通过这个项目，学生将有机会发展最先进的人机交互、NeuroIS技术和使用跨学科研究方法设计决策辅助工具的技能。