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The aim of this paper is to analyze Indian researchers' publications on malaria research and to serve as a guide to libraries needing to collect information on malaria. It also seeks to compare malaria affected Asian countries global rank with their publication and death rates.

For the purpose of the study Indian researchers' publication data which were indexed in Thomson Reuters Web of Science (WoS) were used. Various statistical techniques and bibliometric measures have been employed for further analysis.

The present study found out 2,020 documents with h-index of 48, published by Indian researchers which were indexed in WoS during 2003 to 2012 and the majority of them were articles (81.43 percent). Malaria Journal is the most favored research journal among the Indian research community which covers 97 papers. A.P. Dash contributed maximum number of 136 (6.74 percent) papers. Council for Scientific and Industrial Research (CSIR) is the largest Indian funding agency with 184 (9.11 percent) research grants.

Limitation by geographical area and time, i.e. the study only focuses the research publication of Indian researchers on malaria research during 2003 to 2012.

This is the first attempt to apply bibliometric techniques to analyze malaria research by Indian researchers, and, more generally for a country which is very badly affected by the disease.

Ineffective management inventory of medical products such as blood and vaccines can create severe repercussions for hospitals, clinics or medical enterprises, such as surgery delays and postponements. Inventory sharing is a form of horizontal collaboration that can provide solutions to key actors of the healthcare supply chain (HSC), yet no prior study reviewed this topic.

This study conducts a systematic literature review of thirty-nine inventory-sharing studies in the context of HSCs published from 2012 until early 2022. The descriptive and thematic analyses include chronological distribution, geographical location, comparison between developed/developing regions, stakeholder and incident analysis.

Thematic analysis classified inventory sharing among five product supply chains (blood, medical supplies, medicines, vaccines and generic medical products). Benefits include shortage reduction, cost minimisation, and wastage mitigation. Barriers include (1) IT infrastructure, (2) social systems, (3) cost and (4) supply chain operations. Perishable inventory policies include Fresher-First (FF), Last-Expire-First-Out (LEFO), First-In-First-Out (FIFO) and First-Expire-First-Out (FEFO). The analysis also showed differences between developed and developing countries. The study identifies several future research opportunities that include (1) product utilisation rate, (2) cost reductions, (3) shortage mitigation and (4) waste reduction.

No prior study has systematically reviewed inventory sharing in HSCs to reveal benefits, barriers, patterns and gaps in the current literature. It makes five propositions and develops a research model to guide future research. The study concludes with theoretical and managerial implications.

The purpose of this paper is to develop methods for inferring if crop insurance premiums imply yield distributions that are valid according to standard laws of probability and broadly consistent with observed empirical evidence. The authors also survey current premium-implied distributions both before and after conditioning on the producer’s choice of coverage level.

Under an assumption of actuarial fairness, the authors derive expressions for upper and lower bounds for premium-implied yield cumulative distribution functions (CDFs) at loss thresholds for each coverage level. When observed premiums imply a CDF that exceeds one or is not non-decreasing, the authors conclude that premiums cannot be actuarially fair. The authors additionally specify very weak conditions for premium-implied yield CDFs to be consistent with two possible reasonable parametric distributions.

The authors evaluate premiums for the year 2018 for 19,104 county-crop-type-practice combinations, both before and after conditioning on producer’s choice of coverage level. The authors find problems in roughly one-third of cases. Problems are exhibited for all crops evaluated, and are strongly associated with areas with lower expected yields and higher yield variability. At least 40m acres are currently insured under premium schedules that cannot possibly be consistent with valid probability distributions.

The authors make two primary contributions. First, the premium-implied yield CDF bounds the authors derive requires fewer assumptions than previous similar work, while simultaneously placing more stringent conditions on premiums to be consistent with actuarial fairness. Second, the authors show that current US crop insurance premiums cannot possibly be actuarially fair for many cases, reflecting tens of millions of insured acres, which implies sub-optimal producer risk mitigation and inequitable expenditures for producers and taxpayers.

The purpose of this paper is to gain an understanding of the current research on Internet-plus.

The authors collected scholarly publications from the scientific databases Web of Science, Core Collection, Inspec and Compendex (Ei Village 2) and performed statistical analysis of the retrieved data from five perspectives.

The research on Internet-plus has obtained increasing attention in China. The top three research fields were social science, education and management.

The study will help researchers understand the current trends on Internet-plus.

The purpose of this paper is threefold: first, to shed light on the increasing start-up competitions (SUCs) phenomenon; second, to provide an interpretive framework to understand whether the SUCs have the potential to be effective entrepreneurial learning environment; third, to analyse the different roles of public and private actors in organizing SUCs.

The paper presents a cross-section analysis of the Italian SUCs population. In total, 77 competitions are analysed on the basis of different criteria which should properly mirror their distinguishing structural features, helping understand the potential of SUCs as learning environments.

The recent increase in the number of SUCs has been mainly fuelled by private actors. Moreover, Italian SUCs show some features that make them rich learning environments. Private and public actors play different roles, as confirmed by statistical tests performed. Privately organized SUCs follow mainly a market-oriented approach, while publicly organized ones are more education oriented.

The findings cannot be easily generalized mainly due to the peculiarities of the Italian context.

Soft forms of regulation should be defined to strengthen those features which could potentially support the entrepreneurial learning processes. In this view, SUCs should be part of a start-up friendly ecosystem where actors (startuppers, incubators, venture capitalists) are effectively coordinated with each other.

Despite the remarkable diffusion of SUCs, there are significant gaps in literature about this phenomenon. Given the lack of a systematic and comprehensive analysis of SUCs as effective entrepreneurial learning environments, the paper represents an important starting point.

The purpose of this paper is to understand the similarities and differences between the Twitter users who tweeted on journal articles in psychology and political science disciplines.

The data were collected from Web of Science, Altmetric.com, and Twitter. A total of 91,826 tweets with 22,541 distinct Twitter user profiles for psychology discipline and 29,958 tweets with 10,478 distinct Twitter user profiles for political science discipline were used for analysis. The demographics analysis includes gender, geographic location, individual or organization user, academic or non-academic background, and psychology/political science domain knowledge background. A machine learning approach using support vector machine (SVM) was used for user classification based on the Twitter user profile information. Latent Dirichlet allocation (LDA) topic modeling was used to discover the topics that the users discussed from the tweets.

Results showed that the demographics of Twitter users who tweeted on psychology and political science are significantly different. Tweets on journal articles in psychology reflected more the impact of scientific research finding on the general public and attracted more attention from the general public than the ones in political science. Disciplinary difference in term of user demographics exists, and thus it is important to take the discipline into consideration for future altmetrics studies.

From this study, researchers or research organizations may have a better idea on who their audiences are, and hence more effective strategies can be taken by researchers or organizations to reach a wider audience and enhance their influence.

This study aims to map the major research constituents and trends for the Journal of Business and Industrial Marketing (JBIM) during its 34-year history (1986–2019). It also identifies JBIM’s thematic structure and the key factors affecting the impact of its articles.

The Scopus database is used to identify the bibliographic data of JBIM. The most prolific authors, institutions and countries in the journal are analyzed through weighted distributions of articles. The thematic structure of the journal is evaluated by means of bibliographic coupling analysis. The study also examines the factors influencing citations of JBIM articles through regression modeling.

JBIM publishes contributions from around the world, though the most prolific contributors are affiliated with the USA, UK and Finland. Thematic analysis divided JBIM articles into five major themes. Citation analysis reveals that article age, special issue appearance, number of author keywords and number of references are prominent factors explaining an article’s impact.

This study uses data from the Scopus database, and limitations of the database have implications for the findings.

This is the first comprehensive study to identify the thematic structure and the factors affecting citations of JBIM articles.

The success or failure of any Six Sigma program/project depends on some critical factors. The purpose of this paper is to identify and explore critical success factors (CSFs) of Six Sigma from an extensive literature review of research articles published in the context of Six Sigma and propose a categorized list of vital CSFs.

The methodology used is the systematic analysis of 64 different research publications and case studies from 34 different journals that are relevant in the context of Six Sigma by filtering, using keywords like Six Sigma and CSFs. This analysis leads to the exploration of a number of CSFs followed by their prioritization by using a Pareto analysis quality tool. These CSFs are then sorted into a proposed list of “vital few” and “useful many” CSFs groups in accordance to their frequency of occurrence.

The literature revealed 13 vital CSFs: management involvement and commitment, training, cultural change, communication, customer focus and requirements, organizational infrastructure and resources, project management skills, project prioritization and selection, understanding the Six Sigma methodology, tools and techniques, linking Six Sigma to business strategy, linking Six Sigma to customers, customer focus and requirements, quality data and reporting and linking Six Sigma to suppliers. The consideration of these CSFs will increase the success rates of a Six Sigma program/project in an organization.

The CSFs extracted spotlight only small and medium enterprises (SMEs) and do not consider large industries. This paper is confined to those articles that argued that the Six Sigma is beneficial to SMEs and does not consider the failure experience of the industries.

This paper identifies the CSFs for implementing Six Sigma that are comprehensive and potential to address the quality-related issues of industries. This paper also provides an extract of the relevant publishing to both the academicians and practitioners in the field of Six Sigma for implementing Six Sigma framework in an organization. This study is apparently the first of its kind on CSF assessment and categorization.

Based on user-generated content from a Chinese social media platform, this paper aims to investigate multiple methods of constructing user profiles and their effectiveness in predicting their gender, age and geographic location.

This investigation collected 331,634 posts from 4,440 users of Sina Weibo. The data were divided into two parts, for training and testing . First, a vector space model and topic models were applied to construct user profiles. A classification model was then learned by a support vector machine according to the training data set. Finally, we used the classification model to predict users’ gender, age and geographic location in the testing data set.

The results revealed that in constructing user profiles, latent semantic analysis performed better on the task of predicting gender and age. By contrast, the method based on a traditional vector space model worked better in making predictions regarding the geographic location. In the process of applying a topic model to construct user profiles, the authors found that different prediction tasks should use different numbers of topics.

This study explores different user profile construction methods to predict Chinese social media network users’ gender, age and geographic location. The results of this paper will help to improve the quality of personal information gathered from social media platforms, and thereby improve personalized recommendation systems and personalized marketing.

The purpose of this paper is to quantitatively document and synthesize the knowledge base on leading school change and improvement (LSCI).

The authors employed bibliometric analysis to evaluate 1,613 SCOPUS-indexed documents on LSCI published between 1960 and the end of 2017. In addition to descriptive analysis of basic features of the knowledge base, the review also employed citation and co-citation analyses of authors, journals and documents. Author co-citation analysis (ACA) was used reveal the intellectual structure of the LSCI literature.

The growth trajectory of LSCI research began with low levels of publication during the 1960s and 1970s, followed by steady and then accelerating growth in subsequent decades. Citation analyses highlighted key journals, authors and documents in this field, while ACA identified four research streams or Schools of Thought that comprise the LSCI knowledge base: transformational leadership for school improvement, instructional leadership for school improvement, shared leadership for change and school improvement, school improvement.

The review offers empirical documentation of the changing intellectual structure of the one of the key lines of inquiry that emerged in the field of educational administration over the past six decades. More broadly, the review illustrates the benefits of bibliometric analysis as a tool capable of illuminating critical features that bear upon knowledge accumulation in a line of inquiry, or a broader discipline.