Who Owns and Cares about the Data? A Method for Identifying and Gathering Information for Research Investigations

Ann Cullen
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Abstract

Information overload has always been a challenge for business-people as well as professionals from other types of organizations. And today with search algorithms and artificial intelligence (AI) such an ever-present part of daily life and media consumption, the challenges in learning how to filter information for oneself for effective processing, interpretation and analysis have only increased. Several frameworks are presented that were created for instructing students to assist with addressing this. They were tested and refined over four years in a core MBA course focused on decision making and project-based work. They include ways to conceptualize the broad areas of information available for business decision making as well as how to identify information by thinking about who is producing it, why they are producing it and who their key customers are. Other frameworks presented deal with ways to identify pertinent information and how to process and work with it as part of a research investigation. These frameworks are presented as tools that can be used by business school instructors, but certainly have a broader application as useful guidelines for anyone hoping to be a better collector and processor of relevant information for decision making and project work.
谁拥有和关心数据?一种识别和收集研究调查信息的方法
对于商务人士和其他类型组织的专业人员来说,信息过载一直是一个挑战。如今,随着搜索算法和人工智能(AI)在日常生活和媒体消费中无处不在,学习如何为自己过滤信息以进行有效处理、解释和分析的挑战只会增加。介绍了几个框架,这些框架是为指导学生协助解决这个问题而创建的。在四年多的时间里,他们在一门专注于决策和基于项目的工作的核心MBA课程中得到了检验和完善。它们包括概念化可用于业务决策的广泛信息领域的方法,以及如何通过思考谁在生产信息、为什么要生产信息以及他们的主要客户是谁来识别信息。提出的其他框架涉及识别相关信息的方法以及如何作为研究调查的一部分处理和使用这些信息。这些框架是作为商学院讲师可以使用的工具呈现出来的,但对于任何希望更好地收集和处理决策和项目工作相关信息的人来说,它们肯定有更广泛的应用,可以作为有用的指导方针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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