Search results

The aim of this paper is to synthesize and assess the published literature relating to critical success factors for continuous improvement projects (CIPs).

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.

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.

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.

To the authors’ knowledge, this paper presents the most comprehensive list of factors, and associated definitions, relevant to CIP success.

The purpose of this paper is to provide a complementary analysis of finance journals that are often being overlooked in prior studies. Specifically, the authors examine the Australian Business Dean Council’s (ABDC’s) C-ranked journals in terms of their authors’ affiliations with US colleges, US colleges with Association to Advance Collegiate Schools of Business (AACSB) accreditations, and US colleges with AACSB doctoral program accreditations.

A list of C-ranked journals is downloaded from the ABDC’s website. Full-text articles of these journals are downloaded from library databases for the five-year period of 2009-2013. Author affiliations are collected from the corresponding articles. Journal histories, journal editor locations, Cabell’s journal rankings, and acceptance rates are collected from the ABDC’s database, Cabell’s Directory, journal websites, and library databases. The final sample consists of 28 finance journals.

The authors find that these journals have a substantial number and percentage of authors from US colleges. Among the US authors, about 92 percent of them are from AACSB accredited schools and most of them are from AACSB accredited schools with doctoral programs. The findings support the notion that these journals are important publication outlets for US researchers. The authors also find that journals with longer histories and US-based editors have a higher percentage of US authors. In addition, journals with better Cabell’s journal rankings and higher rejection rates have higher percentage of US authors from AACSB accredited schools with doctoral programs.

C-ranked journals are often neglected in prior studies on journal characteristics because they are less well-known and less likely to be cited. However, these journals constitute as many as half of all finance journals in the ABDC database and can be important publication outlets for finance researchers. This study contributes to the literature by examining the author characteristics of these journals, namely, the proportions of authors who come from US colleges and authors who come from AACSB accredited US programs. Such an analysis will provide valuable insight into the value of these journals.

The 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.

A 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.

From 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.

The 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.

To 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.

The purpose of this study is to examine Airbnb research using bibliometric methods. Using research performance analysis, this study highlights and provides an updated overview of Airbnb research by revealing patterns in journals, papers and most influential authors and countries. Furthermore, it graphically illustrates how research themes have evolved by mapping a co-word analysis and points out potential trends for future research.

The methodological design for this study involves three phases: the document source selection, the definition of the variables to be analyzed and the bibliometric analysis. A statistical multivariate analysis of all the documents’ characteristics was performed with R software. Furthermore, natural language processing techniques were used to analyze all the abstracts and keywords specified in the 129 selected documents.

Results show the genesis and evolution of publications on Airbnb research, scatter of journals and journals’ characteristics, author and productivity characteristics, geographical distribution of the research and content analysis using keywords.

Despite Airbnb having a history of 10 years, research publications only started in 2015. Therefore, the bibliometric study includes papers from 2015 to 2019. One of the main limitations is that papers were selected in October of 2019, before the year was over. However, the latest academic publications (in press and earlycite) were included in the analysis.

This study analyzed bibliometric set of laws (Price’s, Lotka’s and Bradford’s) to better understand the patterns of the most relevant scientific production regarding Airbnb in tourism and hospitality journals. Using natural language processing techniques, this study analyzes all the abstracts and keywords specified in the selected documents. Results show the evolution of research topics in four periods: 2015-2016, 2017, 2018 and 2019.

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?

A systematic literature review was conducted, identifying 302 academic publications related to hospital CIPs. Publications were analyzed using: author, quantity, diversity, collaboration, and impact.

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.

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.

This study investigates system dynamics (SD) applications in performance measurement (PM) research and practice. A bibliometric analysis was conducted to investigate the maturity of this research area and identify opportunities for development.

A systematic literature review (SLR) was conducted to provide a comprehensive and rigorous review of the existing literature. The search was conducted on 10 platforms identifying 97 publications, which were evaluated using bibliometric analysis.

The analysis revealed that applications of SD are most commonly used in the PM system design phase to model organisational performance. In addition, the bibliometric results showed a highly dispersed author set, with most studies using exploratory methods, suggesting that the research is in a relatively early stage of development. The results also showed that over 50 per cent of the causal models were not validated, emphasizing an important methodological gap in this research area.

This SLR is limited to indexed publications on 10 platforms, the search strategy was relatively precise and only available papers in English language were used for the literature review.

PM systems supported by SD can help managers understand and improve organisational behaviours by addressing dynamic complexities and relationship between variables. This study evaluates the maturity of this research area including information about the current development of this area and opportunities to build on existing knowledge.

This study identifies how SD approaches are applied to PM and highlights areas that require further research consideration. This paper is the first of two publications to result from this study and focuses on evaluating the current state of this research area.

The main aims of the survey were to determine: the volume of open access (OA) publishing; what the attitudes of authors to publishing in OA journals were; and what authors felt were the implications of OA publishing.

The questionnaire survey was administered on behalf of Ciber by NOP and the sample derived from mailing lists supplied by the Institute for Scientific Information (ISI^®). Nearly, 4,000 authors responded.

The detailed results of a major survey of the views and experiences of nearly 4,000 senior authors in regard to OA publishing. A number of statistical analyses were employed to drill down into the data to obtain an understanding of the figures. Views were divided sharply along subject and geographical lines, demonstrating the need to survey large and robust samples of authors.

A snapshot study which while providing robust data requires a follow‐up study to monitor opinion shifts in this fast‐changing area.

Highlights the knowledge gap that exists between authors and publishers.

One of the biggest, if not the biggest, author survey conducted into scholarly publishing and OA publishing.

The aim of this paper is to monitor the scientific development of the intellectual capital (IC) field by analyzing the citation patterns of the IC articles published in ISI journals in the period 1997‐2007. Our research examines the extent to which citation is allocated according to a normative process of universalism or a social process defined by particularistic variables. The results of a regression analysis summarizing both approaches shows that some universalistic predictors of quality such as the impact factor of the journal and the accuracy of the articles are positively related to the number of citations. Thus, the field is slowly moving toward a more universalistic‐oriented discipline, and the practice of citing considering functionally irrelevant characteristics has a limited influence. It seems clear that IC is, more than a fashionable topic, a loose collection of ideas that is still developing its scientific paradigm.

Aims to describe systematically the characteristics of weblogs (blogs) – frequently modified web pages in which dated entries are listed in reverse chronological sequence and which are the latest genre of internet communication to attain widespread popularity.

This paper presents the results of a quantitative content analysis of 203 randomly selected blogs, comparing the empirically observable features of the corpus with popular claims about the nature of blogs, and finding them to differ in a number of respects.

Notably, blog authors, journalists and scholars alike exaggerate the extent to which blogs are interlinked, interactive, and oriented towards external events, and underestimate the importance of blogs as individualistic, intimate forms of self‐expression.

Based on the profile generated by the empirical analysis, considers the likely antecedents of the blog genre, situates it with respect to the dominant forms of digital communication on the internet today, and suggests possible developments of the use of blogs over time in response to changes in user behavior, technology, and the broader ecology of internet genres.

Using bibliometrics to examine eight core journals in the year 2000 for the disciplines of higher education and library science, characteristics of the authors were determined, including gender or sex; Carnegie Classification or institutional affiliation; and position of the authors. Characteristics of the articles were also examined, including the research methods used such as descriptive statistics, inferential statistics, or qualitative analysis. A content analysis of each article was performed to determine the subjects discussed in each literature. For both disciplines, it was learned that males publish more, the highest Carnegie Classification, extensive research institutions, were represented the most, and authors came from academic departments other than their own disciplines. In higher education, inferential statistics were used frequently; in library and information descriptive statistics were used frequently; both disciplines failed to use research methodologies regularly. From these findings, it appears that both disciplines are still emerging and are in their early stages of development.