Systematizing the lexicon of platforms in information systems: a data-driven study

被引：10

作者：

Bartelheimer, Christian ^{[1
]}

zur Heiden, Philipp ^{[1
]}

Luettenberg, Hedda ^{[2
]}

Beverungen, Daniel ^{[1
]}

机构：

[1] Paderborn Univ, Dept Informat Syst, Warburger Str 100, D-33098 Paderborn, Germany

[2] Hamm Lippstadt Univ Appl Sci Prod & Qual Manageme, Dr Arnold Hueck Str 3, D-59557 Lippstadt, Germany

来源：

ELECTRONIC MARKETS | 2022年 / 32卷 / 01期

关键词：

Platform; Text mining; Machine learning; Data communications; Interpretive research; Systems design and implementation; SERVICE INNOVATION; DIGITAL PLATFORMS; BOUNDARY RESOURCES; ONLINE COMMUNITIES; DOMINANT LOGIC; DESIGN; TECHNOLOGY; INFRASTRUCTURES; CHALLENGES; DIFFUSION;

D O I：

10.1007/s12525-022-00530-6

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline's comprehensive research on platforms-comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts' semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-a-vis the extant research and considering a temporal perspective on the concepts' application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.

引用

页码：375 / 396

页数：22

共 130 条

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