Unpacking the process of conceptual leaping in the conduct of literature reviews

IF 8.7 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Strategic Information Systems Pub Date : 2024-02-19 DOI:10.1016/j.jsis.2024.101822
Suzanne Rivard
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Abstract

Literature reviews serve diverse purposes, including description, understanding, explanation, and testing. Traditionally – before online databases, full-text search availability, and AI-based search tools – identifying relevant sources might have been considered a valuable contribution. However, top-tier information systems (IS) journals now demand more than descriptive reviews; they require authors to move beyond summarizing existing knowledge toward proposing innovative research directions, important research questions, new concepts, and interesting linkages among concepts. Despite adhering to rigorous methodological guidelines, many authors struggle to make conceptual leaps, that is, to elevate their literature reviews beyond description, to achieve a profound understanding, to provide explanations, or to develop a model. Authors may mistakenly prioritize hard work – like thorough literature search, analysis, and organization – over hard thinking, which is crucial for advancing theoretical contributions. With this in mind, I adopt the view that the literature is indeed qualitative data. I suggest that approaches that help make conceptual leaps in qualitative research can benefit literature review authors searching for inconsistencies in the extant literature and developing new questions, concepts, and linkages. Drawing upon qualitative research (Klag, M., and Langley, A., 2013. Approaching the conceptual leap in qualitative research. International Journal of Management Reviews. 15 (2), 149–166.), I unpack the process of conceptual leaping in the conduct of literature reviews. This process involves navigating dialectic tensions between knowing and not knowing, engagement and detachment, deliberation and serendipity, and self-expression and social connection. Effectively managing these tensions can help authors increase the impact and innovativeness of their literature reviews.

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解读文献综述中的概念跳跃过程
文献综述的目的多种多样,包括描述、理解、解释和测试。传统上,在在线数据库、全文检索可用性和基于人工智能的搜索工具出现之前,确定相关来源可能被认为是一项有价值的贡献。然而,顶级信息系统(IS)期刊现在要求的不仅仅是描述性评论;它们要求作者从总结现有知识转向提出创新研究方向、重要研究问题、新概念以及概念之间有趣的联系。尽管遵守了严格的方法论指导原则,但许多作者还是难以实现概念上的飞跃,也就是说,难以将文献综述提升到描述之外的高度,难以达到深刻的理解、提供解释或建立模型。作者可能会错误地将艰苦的工作--如彻底的文献检索、分析和组织--置于艰苦的思考之上,而后者对于推进理论贡献至关重要。有鉴于此,我采用的观点是,文献确实是定性数据。我认为,有助于在定性研究中实现概念飞跃的方法可以帮助文献综述作者寻找现有文献中的不一致之处,并提出新的问题、概念和联系。借鉴定性研究(Klag, M. and Langley, A., 2013.接近定性研究中的概念飞跃》。国际管理评论杂志》。15 (2),149-166.),我解读了文献综述中的概念跃迁过程。这一过程涉及驾驭知与不知、参与与脱离、深思熟虑与偶然性、自我表达与社会联系之间的辩证紧张关系。有效处理这些紧张关系有助于作者提高文献综述的影响力和创新性。
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来源期刊
Journal of Strategic Information Systems
Journal of Strategic Information Systems 工程技术-计算机:信息系统
CiteScore
17.40
自引率
4.30%
发文量
19
审稿时长
>12 weeks
期刊介绍: The Journal of Strategic Information Systems focuses on the strategic management, business and organizational issues associated with the introduction and utilization of information systems, and considers these issues in a global context. The emphasis is on the incorporation of IT into organizations'' strategic thinking, strategy alignment, organizational arrangements and management of change issues.
期刊最新文献
Do CEOs matter? Divergent impact of CEO power on digital and non-digital innovation A knowledge-centric model for government-orchestrated digital transformation among the microbusiness sector A process model for design-oriented machine learning research in information systems Is AI a strategic IS? Reflections and opportunities for research A socio-cognitive perspective of knowledge integration in digital innovation networks
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