4,398 research outputs found

    Profiling research published in the journal of enterprise information management (JEIM)

    Get PDF
    Purpose – The purpose of this paper is to analyse research published in the Journal of Enterprise Information Management (JEIM) in the last ten years (1999 to 2008). Design/methodology/approach – Employing a profiling approach, the analysis of the 381 JEIM publications includes examining variables such as the most active authors, geographic diversity, authors' backgrounds, co-author analysis, research methods and keyword analysis. Findings – All the finding are in relation to the period of analysis (1999 to 2008). (a) Research categorised under descriptive, theoretical and conceptual methods is the most dominant research approach followed by JEIM authors. This is followed by case study research. (b) The largest proportion of contributions came from researchers and practitioners with an information systems background, followed by those with a background in business and computer science and IT. (c) The keyword analysis suggests that ‘information systems’, ‘electronic commerce’, ‘internet’, ‘logistics’, ‘supply chain management’, ‘decision making’, ‘small to medium-sized enterprises’, ‘information management’, ‘outsourcing’, and ‘modelling’ were the most frequently investigated keywords. (d) The paper presents and discusses the findings obtained from the citation analysis that determines the impact of the research published in the JEIM. Originality/value – The primary value of this paper lies in extending the understanding of the evolution and patterns of IS research. This has been achieved by analysing and synthesising existing JEIM publications

    An author keyword analysis for mapping Sport Sciences

    Full text link
    [EN] Scientific production has increased exponentially in recent years. It is necessary to find methodological strategies for understanding holistic or macro views of the major research trends developed in specific fields. Data mining is a useful technique to address this task. In particular, our study presents a global analysis of the information generated during last decades in the Sport Sciences Category (SSC) included in the Web of Science database. An analysis of the frequency of appearance and the dynamics of the Author Keywords (AKs) has been made for the last thirty years. Likewise, the network of co-occurrences established between words and the survival time of new words that have appeared since 2001 has also been analysed. One of the main findings of our research is the identification of six large thematic clusters in the SSC. There are also two major terms that coexist ('REHABILITATION' and 'EXERCISE') and show a high frequency of appearance, as well as a key behaviour in the calculated co-occurrence networks. Another significant finding is that AKs are mostly accepted in the SSC since there has been high percentage of new terms during 2001-2006, although they have a low survival period. These results support a multidisciplinary perspective within the Sport Sciences field of study and a colonization of the field by rehabilitation according to our AK analysis.Gonzålez-Moreno, L.; García-Massó, X.; Pardo-Ibåñez, A.; Peset Mancebo, MF.; Devis Devis, J. (2018). An author keyword analysis for mapping Sport Sciences. PLoS ONE. 13(8). https://doi.org/10.1371/journal.pone.0201435S13

    Generating ordered list of Recommended Items: a Hybrid Recommender System of Microblog

    Full text link
    Precise recommendation of followers helps in improving the user experience and maintaining the prosperity of twitter and microblog platforms. In this paper, we design a hybrid recommender system of microblog as a solution of KDD Cup 2012, track 1 task, which requires predicting users a user might follow in Tencent Microblog. We describe the background of the problem and present the algorithm consisting of keyword analysis, user taxonomy, (potential)interests extraction and item recommendation. Experimental result shows the high performance of our algorithm. Some possible improvements are discussed, which leads to further study.Comment: 7 page

    Keyword Analysis and Project Classification of FCH 2 JU Projects

    Get PDF
    The Fuel Cells and Hydrogen Joint Undertaking has funded more than 240 projects since its inception in 2008, with the goal of accelerating fuel cell and hydrogen technologies to the marketplace to assist the transition to a carbon-clean energy system [1]. Priorities regarding the suitable areas for research, development and demonstration projects are under constant review. These priorities are regularly updated in the Multi-Annual Work Plan (MAWP) and Annual Work Plans (AWP). When establishing the calls for proposals, funding is earmarked to key priorities and research areas (the highest level of classification being Energy and/or Transport). The main motivation of the current exercise was to determine relationships between funding and the various activities of the Joint Undertaking, for example to visualise trends in the funding for particular technologies or applications. As a pre-cursor to a wider historical analysis of the impact of the FCH 2 JU, a structured classification of projects according to keywords has been performed, leading to the creation of a hierarchical database. All projects up to and including the 2018 call have been included in this exercise, excluding two additional projects under preparation by FCH JU, which were not signed in time for inclusion in this report. To achieve these goals, keywords were determined for all projects and then distributed within a hierarchical database created in excel. Keywords were analysed based on Project Topic (encompassing the technology type and application) and Project Class (encompassing the stage and scale of the project undertaken). Finally, a series of plots were created, demonstrating how the database could be used to investigate the trends in funding at different levels of the database hierarchy.JRC.C.1-Energy Storag

    Using Corpus Linguistics to Analyse how Design Research Frames ‘Design Thinking’

    Get PDF

    Rationales for corporate risk management from stakeholders’ perspective

    Get PDF
    The rationales for corporate risk management are examined from the point of view of the theory of finance and of key stakeholder groups’ interests. A study of the use of hedging instruments in 161 Polish non-financial listed companies is then presented. The study is based on keyword analysis of financial statements; parametric tests and logit regression are used to determine relationships between the hedging decision and financial standing of companies. However, company size is proved to be the only significant factor for a hedging decision. The implications of these findings and new research questions are discussed in the conclusion.stakeholder theory; risk management; hedging; derivatives

    Profiling a decade of information systems frontiers’ research

    Get PDF
    This article analyses the first ten years of research published in the Information Systems Frontiers (ISF) from 1999 to 2008. The analysis of the published material includes examining variables such as most productive authors, citation analysis, universities associated with the most publications, geographic diversity, authors’ backgrounds and research methods. The keyword analysis suggests that ISF research has evolved from establishing concepts and domain of information systems (IS), technology and management to contemporary issues such as outsourcing, web services and security. The analysis presented in this paper has identified intellectually significant studies that have contributed to the development and accumulation of intellectual wealth of ISF. The analysis has also identified authors published in other journals whose work largely shaped and guided the researchers published in ISF. This research has implications for researchers, journal editors, and research institutions
    • 

    corecore