Purpose The aim of this paper is to synthesize and assess the published literature relating to critical success factors for continuous improvement projects (CIPs). Design/methodology/approach A systematic literature review (SLR) was conducted to obtain the most relevant papers from four platforms: EBSCOhost, Engineering Village, ProQuest and Web of Science. The literature was assessed and synthesized based on analysis of characteristics relating to publications, authors and the content of publications. Findings From the SLR, 98 publications were identified and analyzed. One primary finding is that this research area appears to demonstrate characteristics of an emerging field, not yet well established across all relevant aspects. Second, a comprehensive set of 53 factors were extracted from the publications identified. These factors were analyzed according to frequency in the published literature. This set of factors can be used in future empirical research to develop a more complete understanding of the relative contribution of each to influencing CIP success. Research limitations/implications The SLR methodology does not guarantee that all of the publications related to a given research area will be identified; however, the researchers took different actions to mitigate this limitation. Further, not all relevant information from the publication set could be included in this work because of space constraints. Originality/value To the authors’ knowledge, this paper presents the most comprehensive list of factors, and associated definitions, relevant to CIP success.
Purpose Evidence suggests that hospitals are having problems achieving continuous improvement project (CIP) goals or sustaining their results. Therefore, the purpose of this paper is to identify those critical success factors (CSFs) most strongly related to CIP success in hospitals (Lean-Kaizen project, Lean Six Sigma project, Six Sigma projects, and Quality Improvement projects). Design/methodology/approach A retrospective survey was applied to any CIP leaders/facilitators from hospitals that conducted at least one CIP during the last two years. Findings Three main findings were obtained from the 116 valid responses. First, the level of importance of 47 out of 53 CSFs to achieve CIPs success in hospitals was assessed as very important or higher (4 or higher on a six-point scale). Second, there are important differences between the CSFs to achieve CIP success in hospitals in this research and previous investigations. Third, the type of CIP affects the level of importance of 16 out of 53 CSFs to achieve CIP success in hospitals. Originality/value Practitioners involved with CIPs activities in hospitals could use the knowledge extracted from this investigation to improve the impact of their CIPs. Future research should continue in two lines: test if the 53 CSFs for CIPs measure a unique factor and identify the main relationships or paths between CSFs for CIPs and CIP outcomes.
Purpose The purpose of this paper is to describe the current research on hospital continuous improvement projects (CIPs) from an author characteristics' perspective. This work addresses the following questions: who are the predominant research authors in hospital CIPs? To what extent are the research communities collaborating in distinct research groups? How internationalized has hospital CIPs research become with respect to author location? Design/methodology/approach A systematic literature review was conducted, identifying 302 academic publications related to hospital CIPs. Publications were analyzed using: author, quantity, diversity, collaboration, and impact. Findings Hospital CIPs are increasingly attracting new scholars each year. Based on the authors' analysis, authors publishing in this area can be described as a relatively new international community given the countries represented. Originality/value This paper describes the current hospital CIP research by assessing author characteristics. Future work should examine additional attributes to characterize maturity such as how new knowledge is being created and to what extent new knowledge is being disseminated to practitioners.
PurposeThe objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.Design/methodology/approachA systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.FindingsFrom the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.Research limitations/implicationsThe use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.Originality/valueTo the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.