Journal of Knowledge Management: Volume 21 Issue 1

Does big data mean big knowledge? KM perspectives on big data and analytics

David J. Pauleen, William Y.C. Wang

This viewpoint study aims to make the case that the field of knowledge management (KM) must respond to the significant changes that big data/analytics is bringing to…

Davenport and Prusak on KM and big data/analytics: interview with David J. Pauleen

David J. Pauleen

Larry Prusak and Tom Davenport have long been leading voices in the knowledge management (KM) field. This interview aims to explore their views on the relationship between KM and…

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

David J. Pauleen

Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the…

Big data text analytics: an enabler of knowledge management

Zaheer Khan, Tim Vorley

The purpose of this paper is to examine the role of big data text analytics as an enabler of knowledge management (KM). The paper argues that big data text analytics represents an…

An exploration of contemporary organizational artifacts and routines in a sustainable excellence context

Elias G. Carayannis, Evangelos Grigoroudis, Manlio Del Giudice, Maria Rosaria Della Peruta, Stavros Sindakis

Organizations and their members operate in increasingly complex, dynamic and even disruptive environments, with risk and uncertainty being major challenges. To that effect, data…

How the Internet of Things can help knowledge management: a case study from the automotive domain

Lorna Uden, Wu He

Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by…

Information and reformation in KM systems: big data and strategic decision-making

Ali Intezari, Simone Gressel

The purpose of this paper is to provide a theoretical framework of how knowledge management (KM) systems can facilitate the incorporation of big data into strategic decisions…

Big data systems: knowledge transfer or intelligence insights?

Helen N. Rothberg, G. Scott Erickson

This paper aims to bring together the existing theory from knowledge management (KM), competitive intelligence (CI) and big data analytics to develop a more comprehensive view of…

Big data and knowledge management: a case of déjà vu or back to the future?

Xuemei Tian

Big data clearly represent an important advance in information systems theory, but to describe it as “revolutionary” is premature. Similar technological breakthroughs, from online…

Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis

Elan Sasson, Gilad Ravid, Nava Pliskin

Although acknowledged as a principal dimension in the context of text mining, time has yet to be formally incorporated into the process of visually representing the relationships…

Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector

Christina O’Connor, Stephen Kelly

This paper aims to critique a facilitated knowledge management (KM) process that utilises filtered big data and, specifically, the process effectiveness in overcoming barriers to…

Interrelationship between big data and knowledge management: an exploratory study in the oil and gas sector

Muhammad Saleem Sumbal, Eric Tsui, Eric W.K. See-to

The purpose of this paper is to explore the relationship between big data and knowledge management (KM).

Cognitive big data: survey and review on big data research and its implications. What is really “new” in big data?

Artur Lugmayr, Björn Stockleben, Christoph Scheib, Mathew A. Mailaparampil

The purpose of this paper is to introduce and define Cognitive Big Data as a concept. Furthermore, it investigates what is really “new” in Big Data, as it seems to be a hyped-up…

The concepts of big data applied in personal knowledge management

Che-Hung Liu, Jen Sheng Wang, Ching-Wei Lin

The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM).