TY - JOUR
T1 - Fifty Years of Information Management Research
T2 - A Conceptual Structure Analysis using Structural Topic Modeling
AU - Sharma, Anuj
AU - Rana, Nripendra P.
AU - Nunkoo, Robin
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
KW - Information management
KW - Structural topic models
KW - Topic modeling
KW - Generative models
KW - Text analytics
KW - Information management
KW - Structural topic models
KW - Topic modeling
KW - Generative models
KW - Text analytics
U2 - 10.1016/j.ijinfomgt.2021.102316
DO - 10.1016/j.ijinfomgt.2021.102316
M3 - Journal article
SN - 0268-4012
VL - 58
JO - International Journal of Information Management
JF - International Journal of Information Management
M1 - 102316
ER -