Interdisciplinarity of information science: an evolutionary perspective of theory application

Abstract

Purpose

This paper aims to reveal the interdisciplinarity of information science (IS) from the perspective of the evolution of theory application.

Design/methodology/approach

Select eight representative IS journals as data sources, extract the theories mentioned in the full texts of the research papers and then measure annual interdisciplinarity of IS by conducting theory co-occurrence network analysis, diversity measure and evolution analysis.

Findings

As a young and vibrant discipline, IS has been continuously absorbing and internalizing external theoretical knowledge and thus formed a high degree of interdisciplinarity. With the continuous application of some kernel theories, the interdisciplinarity of IS appears to be decreasing and gradually converging into a few neighboring disciplines. Influenced by big data and artificial intelligence, the research paradigm of IS is shifting from a theory centered one to a technology centered one.

Research limitations/implications

This study helps to understand the evolution of the interdisciplinarity of IS in the past 21 years. The main limitation is that the data were collected from eight journals indexed by the Social Sciences Citation Index and a small amount of theories might have been omitted.

Originality/value

This study identifies the kernel theories in IS research, measures the interdisciplinarity of IS based on the evolution of the co-occurrence network of theory source disciplines and reveals the paradigm shift being happening in IS.

Citation

Zhang, C., Wang, F., Huang, Y. and Chang, L. (2024), "Interdisciplinarity of information science: an evolutionary perspective of theory application", Journal of Documentation, Vol. 80 No. 2, pp. 392-426. https://doi.org/10.1108/JD-07-2023-0135