探索信息系统（IS）课程：语义分析方法

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Discovery and Delivery Pub Date : 2023-11-29 DOI:10.1108/idd-06-2023-0060

Hui Shi, Drew Hwang, Dazhi Chong, Gongjun Yan

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引用次数: 0

摘要

目的今天的紧缺技能明天可能就不再需要了。由于企业正在采用一批新技术，它们急需信息技术（IT）专业人才，这些人才必须兼具技术和解决问题的技能，才能胜任各种 IT 职位。本研究旨在采用语义分析方法，探讨美国信息系统（IS）课程如何应对新兴信息技术课题的挑战。设计/方法/途径本研究考虑采用混合语义分析方法来分析美国的 IS 高等教育课程。它提出了一个语义分析框架和一种语义分析算法，用于分析和评估 IS 课程的背景。更具体地说，本研究以数字化转型为案例，考察美国 IS 课程在应对数字化转型挑战方面的准备情况。首先，本研究从有关数字化转型的大量文献综述中开发了一个由 15 项原则和 98 个关键词组成的知识库。其次，本研究从美国 315 个 IS 课程中收集了 4,093 门 IS 课程，并从 Web of Science Core Collection 中收集了 493,216 条科学出版物记录。研究结果利用知识库和两个收集到的数据集，采用语义分析算法计算出 IS 课程背景与数字化转型之间的语义相似性得分（DxScore）。为了展示本文研究成果的可信度，比较了使用相似度得分的国家排名和国家就业排名。研究成果可供 IS 教育工作者今后在更新 IS 课程的过程中使用。至于业内的 IT 专业人士，研究结果可为其现有/未来员工的培训提供启示。原创性/价值本研究通过提出语义分析框架，以数字化转型作为案例研究来说明所提出的语义分析框架的应用，并开发知识库、语料库和课程信息收集，从而探索美国 IS 课程的现状。

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Exploring Information Systems (IS) curricula: a semantic analysis approach

Purpose Today’s in-demand skills may not be needed tomorrow. As companies are adopting a new group of technologies, they are in huge need of information technology (IT) professionals who can fill various IT positions with a mixture of technical and problem-solving skills. This study aims to adopt a sematic analysis approach to explore how the US Information Systems (IS) programs meet the challenges of emerging IT topics. Design/methodology/approach This study considers the application of a hybrid semantic analysis approach to the analysis of IS higher education programs in the USA. It proposes a semantic analysis framework and a semantic analysis algorithm to analyze and evaluate the context of the IS programs. To be more specific, the study uses digital transformation as a case study to examine the readiness of the IS programs in the USA to meet the challenges of digital transformation. First, this study developed a knowledge pool of 15 principles and 98 keywords from an extensive literature review on digital transformation. Second, this study collects 4,093 IS courses from 315 IS programs in the USA and 493,216 scientific publication records from the Web of Science Core Collection. Findings Using the knowledge pool and two collected data sets, the semantic analysis algorithm was implemented to compute a semantic similarity score (DxScore) between an IS course’s context and digital transformation. To present the credibility of the research results of this paper, the state ranking using the similarity scores and the state employment ranking were compared. The research results can be used by IS educators in the future in the process of updating the IS curricula. Regarding IT professionals in the industry, the results can provide insights into the training of their current/future employees. Originality/value This study explores the status of the IS programs in the USA by proposing a semantic analysis framework, using digital transformation as a case study to illustrate the application of the proposed semantic analysis framework, and developing a knowledge pool, a corpus and a course information collection.

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来源期刊

Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.40

自引率

4.80%

发文量

期刊介绍： Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.