Abstract
Information management is the management of organizational processes, technologies, and people which collectively create, acquire, integrate, organize, process, store, disseminate, access, and dispose of the information. Information management is a vast, multi-disciplinary domain that syndicates various subdomains and perfectly intermingles with other domains. This study aims to provide a comprehensive overview of the information management domain from 1970 to 2019. Drawing upon the methodology from statistical text analysis research, this study summarizes the evolution of knowledge in this domain by examining the publication trends as per authors, institutions, countries, etc. Further, this study proposes a probabilistic generative model based on structural topic modeling to understand and extract the latent themes from the research articles related to information management. Furthermore, this study graphically visualizes the variations in the topic prevalences over the period of 1970 to 2019. The results highlight that the most common themes are data management, knowledge management, environmental management, project management, service management, and mobile and web management. The findings also identify themes such as knowledge management, environmental management, project management, and social communication as academic hotspots for future research.
Original language | English |
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Article number | 102316 |
Journal | International Journal of Information Management |
Volume | 58 |
DOIs | |
Publication status | Published - Jun 2021 |
Keywords
- Generative models
- Information management
- Structural topic models
- Text analytics
- Topic modeling
ASJC Scopus subject areas
- Management Information Systems
- Information Systems
- Computer Networks and Communications
- Information Systems and Management
- Marketing
- Library and Information Sciences
- Artificial Intelligence