Intelligent Educational Evaluation of Research Performance between Digital Library and Open Government Data

This study evaluates institutional research performance in benchmark technological universities in Taiwan through intelligent research databases (SciVal) in digital libraries with Ministry of Education open data to explore the performance of research indicators and the research trend of topic clusters to ascertain accountability for decision makers. The research performance of eight benchmark technological universities in Taiwan is compared in this study. In addition, the trends in research topics in the top 10% of journals are explored. Descriptive statistics, correlation, ANOVA, and the Boston Consulting Group matrix were used in this study. Research personnel, publications, productivity, total citations, number of international collaborations, and academic research income in 2018 significantly positively correlated with each other. From 719 records of research topics, topic clusters and school types are the significant factors in research outputs. Biosensors, electrodes, and voltammetry are the leading topic clusters in the research trend. The topic cluster of decision-making, fuzzy sets, and models has the best growth rate in the SciVal results. This analysis provides useful insights to policymakers to improve institutional administration and research resource allocation.

A study of 25 years of publication outputs in the German academic profession

In the weak evaluation state of Germany, full professors are involved in the traditional social governance partnership between the state, and the self-governing higher education institutions (HEI) and disciplinary associations. Literature suggests that formal and informal governance could trigger changes in academics’ publication behavior by valorizing certain publication outputs. In the article, secondary data from three surveys (1992, 2007 and 2018) is used for a multi-level study of the evolution of academics’ publication behavior. We find a trend toward the “model” of natural science publication behavior across all disciplines. On the organizational level, we observe that a strong HEI research performance orientation is positively correlated with journal articles, peer-reviewed publications, and co-publications with international co-authors. HEI performance-based funding is only positively correlated with the share of peer-reviewed publications. At the level of individual disciplines, humanities and social sciences scholars adapt to the peer-reviewed journal publication paradigm of the natural sciences at the expense of book publications. Considering how the academic profession is organized around reputation and status, it seems plausible that the academic profession and its institutional oligarchy are key contexts for the slow but steady change of academics’ publication behavior. The trend of changing academics’ publication behavior is partly related to HEI valorization of performance and (to a lesser extent) to HEI performance based-funding schemes, which are set by the strong academic profession in the weak evaluation state of Germany.

Countering of Black Hole Attack on Manet with AODV Protocol

Security in mobile ad-hoc network (MANET) is the most serious issue impacting performance of network. In general, routing methods is one of the complicated and exciting analysis places. In black hole attack, a harmful node uses its routing technique to be able to promote itself for having the quickest direction to the place node or to the bundle it wants to identify. In this research, performance of one of the most efficient solutions for preventing single black hole attack in MANET using AODV routing protocol will be investigated in terms of packet delivery ratio, packet loss percentage, average end-to-end delay, and route request overhead. This chapter describes the introduction, background of the study, research objectives and questions, the scope of the study and its primary objectives.

Research Support Services in Indonesian Academic Digital Libraries A Proposed Business Model and Prototype Design

Several studies have highlighted the critical role of academic digital libraries in providing research support services and improving research performance. Although several studies have discussed the value of realizing this role, a business model that can serve as a reference in carrying out this role is not yet available. This research aimed to propose a business model and a prototype design for Indonesia’s academic digital library for research support services. A focus group discussion was conducted involving nine experts to identify the key factors. They were then mapped onto a Business Model Canvas. The key activities in the business model guided the requirements gathering for developing a prototype. The requirements were obtained from the literature reviews with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. The requirements were validated by interviewing library managers, research unit managers, and information technology managers. This research resulted in the academic digital library Business Model Canvas and the proposed prototype design, which consisted of a mobile application for member users and a back-office application to manage services by librarians. Further research on prototype implementation testing and the development of a successful implementation model is needed to strengthen this research.

Aristocracy or Meritocracy? The Role of Elite Pedigree and Research Performance in New Accounting Faculty Placements

This paper investigates the influences of elitism and merit in new accounting faculty. Building on research showing that search committees value pedigree in hiring new faculty, we theorize both aristocratic (e.g., accessing or reinforcing elite networks) and meritocratic (e.g., signaling stronger future research potential) influences on the hiring of new accounting faculty. Using curriculum vitae from 381 Accounting Ph.D. Rookie Recruiting and Research Camps, we examine whether candidates graduating from elite accounting institutions place disproportionately higher than do their non-elite peers. Results suggest that elite pedigree predicts placement rank among candidates without favorable publication outcomes at top journals (e.g. acceptance or invitation to resubmit) but not among candidates with favorable publication outcomes. The results suggest joint and complex aristocratic (elite-based) and meritocratic (productivity-based) influences in new accounting faculty hiring.

Scientometric Study of The Research Performance on Biodiversity: The Global Perspective

This paper examines on scientometric study of the research performance on biodiversity with the data that have been collected from Web of Science database. The study period was chosen from 2011 to 2020 and retrieved 11902 records for the study. This study was planned to find out year-wise publications on biodiversity research from 2011 to 2020, to examine authorship patterns, to find out the top twenty authors contributions, to find out top twenty institutions that contributed to biodiversity research, to find top twenty sources contributions and to identify top twenty countries contributed on biodiversity research. It was found that the year-wise biodiversity research publications show an increase trend. Among the 17 different document types, in the form of research articles have 9102 papers. Out of the 40843 authors, Schmidt B has occupied the first position with 56 contributed papers. 97.46% papers were contributed by collaborative authors, and very least number of papers published by single authors’. Totally 178 countries were contributed on biodiversity research publications, amongst India is the fifteenth place with 407 publications.

Academic leadership and research performance: a study among engineering academicians in emerging nations

PurposeThe performance of an academic institution is widely measured by their research performance. In this regard, the role played by leaders in an academic institution is vital. The focus of this paper is on the role played by academic leadership towards research performance.Design/methodology/approachA cross-sectional study is designed, and data are collected from 267 faculty members from various technical institutes across India through an online survey. A snowball sampling is adopted to reach the data point, and structural equation modeling is used to analyze the relationship using Smart PLS (partial least squares).FindingsThe study indicates that leadership in academic setup in developing countries does not directly influence research performance among the faculty members. To enhance research performance, institutes should promote collaboration and facilitate knowledge acquisition and individual development.Practical implicationsThe proposed model aids the leadership in devising strategies and approaches to encourage collaborations and individual initiatives in an academic setup.Social implicationsThe study identifies the importance of Individual initiative in Research Performance and knowledge acquisition for Higher Educational Institutions (HEI).Originality/valueThis research study is unique because it investigates the relationships between Academic Leadership and Research Performance of engineering faculty in emerging nations.

Peer Review Metrics and their influence on the Journal Impact

The manuscript processing timeline, a necessary facet of the publishing process, varies from journal to journal, and its influence on the journal impact needs to be studied. The current research looks into the correlation between the ‘Peer Review Metrics’ (submission to first editorial decision; submission to first post-review decision and submission to accept) and the ‘Journal Impact Data’ (2-year Impact Factor; 5-year Impact Factor; Immediacy Index; Eigenfactor Score and Article Influence Score). The data related to ‘Peer Review Metrics’ (submission to first editorial decision; submission to first post-review decision and submission to accept) and ‘Journal Impact Data’ (2-year Impact Factor; 5-year Impact Factor; Immediacy Index; Eigenfactor Score and Article Influence Score) were downloaded from the ‘Nature Research’ journals website https://www.nature.com/nature-portfolio/about/journal-metrics . Accordingly, correlations were drawn between the ‘Peer Review Metrics’ and the ‘Journal Impact Data’. If the time from ‘submission to first editorial decision’ decreases, the ‘Journal Impact Data’ increases and vice versa. However, an increase or decrease in the time from ‘submission to first editorial decision’ does not affect the ‘Eigenfactor Score’ of the journal and vice versa. An increase or decrease in the time from ‘submission to first post-review decision’ does not affect any ‘Journal Impact Data’ and vice versa. If the time from ‘submission to acceptance’ increases, the ‘Journal Impact Data’ (2-year Impact Factor, 5-year Impact Factor, Immediacy Index and Article Influence Score) also increases, and if the time from ‘submission to acceptance’ decreases, so will the ‘Journal Impact Data’. However, an increase or decrease in the time from ‘submission to acceptance’ does not affect the ‘Eigenfactor Score’ of the journal and vice versa. The study will act as a ready reference tool for the scholars to select the most appropriate submitting platforms for their scholarly endeavours. Furthermore, the performance and evaluative indicators responsible for a journal’s overall research performance can also be understood from a micro-analytical view, which will help the researchers select appropriate journals for their future scholarly submissions. Lengthy publication timelines are a big problem for the researchers because they are not able to get the credit for their research on time. Since the study validates a relationship between the ‘Peer Review Metrics’ and ‘Journal Impact Data’, the findings will be of great help in making an appropriate journal’s choice. The study can be an eye opener for the journal administrators who vocalise a speed-up publication process by enhancing certain areas of publication timeline. The study is the first of its kind that correlates the ‘Peer Review Metrics’ of the journals and the ‘Journal Impact Data’. The study’s findings are limited to the data retrieved from the ‘Nature Research’ journals and cannot be generalised to the full score of journals. The study can be extended across other publishers to generalise the findings. Even the articles’ early access availability concerning ‘Peer Review Metrics’ of the journals and the ‘Journal Impact Data’ can be studied.