Next Article in Journal
AquaVision: AI-Powered Marine Species Identification
Previous Article in Journal
Survey on Knowledge Representation Models in Healthcare
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

A Comprehensive Bibliometric Analysis of Business Process Management and Knowledge Management Integration: Bridging the Scholarly Gap

by
Justyna Berniak-Woźny
* and
Marek Szelągowski
Systems Research Institute of the Polish Academy of Sciences, 01-447 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Information 2024, 15(8), 436; https://doi.org/10.3390/info15080436 (registering DOI)
Submission received: 9 July 2024 / Revised: 23 July 2024 / Accepted: 26 July 2024 / Published: 27 July 2024
(This article belongs to the Section Review)

Abstract

In the ever-evolving landscape of organisational optimisation, the integration of business process management (BPM) and knowledge management (KM) emerges as a critical challenge. Beyond the opportunity to expedite the improvement of the organisation’s operations, this integration serves as a gateway to unlocking the full potential of organisational knowledge and digital transformation. With its comprehensive evaluation of the dimensions of research on BPM and KM, this article aims to unveil predominant topics and evolving trends within this intersection. By doing so, it seeks to catalyse meaningful advancements in organisational management practices, underscoring the relevance and importance of this topic to the audience. The authors conducted a rigorous research process. Using bibliographic analysis, they selected 359 publications from the Scopus database. They employed performance analysis and scientific mapping methods to extract meaningful insights facilitated by MS Excel and VOSviewer applications. Additionally, they conducted an in-depth analysis of 37 publications chosen through bibliographic coupling analysis. The findings highlight a significant gap in the scholarly discourse on BPM and KM, which is evident in the limited research outcomes and minimal influence on decision-making processes. This study reiterates the need for increased dedication to this research realm, particularly in areas identified in the future research agenda recommendations, to stimulate significant advancements in organisational management practices. This paper stands out from the up-to-date reviews by offering a unique contribution to the BPM and KM integration field. While these reviews often focus on specific niches within the broader domain, this study takes a holistic approach. It provides a comprehensive overview of the existing literature on integrating BPM and KM, delving into the quantity and quality of existing research. It also identifies emerging themes and potential directions for future scholarship, ensuring a robust understanding of the integrative landscape of BPM and KM.
Keywords: business process management (BPM); knowledge management (KM); KM and BPM integration; business process (BP); knowledge-intensive business process business process management (BPM); knowledge management (KM); KM and BPM integration; business process (BP); knowledge-intensive business process

Share and Cite

MDPI and ACS Style

Berniak-Woźny, J.; Szelągowski, M. A Comprehensive Bibliometric Analysis of Business Process Management and Knowledge Management Integration: Bridging the Scholarly Gap. Information 2024, 15, 436. https://doi.org/10.3390/info15080436

AMA Style

Berniak-Woźny J, Szelągowski M. A Comprehensive Bibliometric Analysis of Business Process Management and Knowledge Management Integration: Bridging the Scholarly Gap. Information. 2024; 15(8):436. https://doi.org/10.3390/info15080436

Chicago/Turabian Style

Berniak-Woźny, Justyna, and Marek Szelągowski. 2024. "A Comprehensive Bibliometric Analysis of Business Process Management and Knowledge Management Integration: Bridging the Scholarly Gap" Information 15, no. 8: 436. https://doi.org/10.3390/info15080436

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop