Information overload in the information age: a review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development

• Published in: Business Research Vol. 12; no. 2; pp. 479 - 522
• Main Author: Roetzel, Peter Gordon
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer 01.12.2019; Springer International Publishing; Springer Nature B.V
• Subjects: Accounting/Auditing; Bibliometric literature analysis; Bibliometrics; Business and Management; Business Strategy/Leadership; Corporate Finance; Information management strategies; Information overload; Information processing; Literature review; Marketing; Original Research; Literature review; Information overload; Bibliometric literature analysis; Information management strategies; Information processing
• ISSN: 2198-2627; 2198-3402; 1866-8658; 2198-2627
• DOI: 10.1007/s40685-018-0069-z

In the light of the information age, information overload research in new areas (e.g., social media, virtual collaboration) rises rapidly in many fields of research in business administration with a variety of methods and subjects. This review article analyzes the development of information overload literature in business administration and related interdisciplinary fields and provides a comprehensive and overarching overview using a bibliometric literature analysis combined with a snowball sampling approach. For the last decade, this article reveals research directions and bridges of literature in a wide range of fields of business administration (e.g., accounting, finance, health management, human resources, innovation management, international management, information systems, marketing, manufacturing, or organizational science). This review article identifies the major papers of various research streams to capture the pulse of the information overload-related research and suggest new questions that could be addressed in the future and identifies concrete open gaps for further research. Furthermore, this article presents a new framework for structuring information overload issues which extends our understanding of influence factors and effects of information overload in the decision-making process.