1,720,984 research outputs found

    Project success in complex projects: A systematic literature review

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    Complex projects are important drivers of society changes. Their impact is an important phenomenon because of the influence on both society itself and its economy. Despite the best practices all around the globe, numerous challenges can move complex projects from success to a failure scenario. Despite many research done so far on project success indicators, it is still a lack of agreement on what are the success indicators in co mplex projects. This study focuses on project success, published in the past 16 years, in complex projects. This study provides a better understanding of the various project success indicators, and their influences, therefore project managers will be able to identify and prioritize critical factors associated with implementing a successful project

    A taxonomy of project barriers in complex projects

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    Failure in complex projects have motivated researchers and practitioners to investigate the subject in more details. However, while project failure has been the subject of much debate in complex projects, there is no review of its determinants. This study focuses on project barrier/ failure factors, published in the past 16 years, starting from the year 2000, in complex projects. A systematic review of project barriers in complex projects revealed that failure of complex projects could be grouped under eight major factors, namely: technical, economic, political, organizational, project contract, project design and implementation, project team and managerial. Discussion of the findings highlights the importance of understanding barrier factors to ensure successful delivery of complex projects

    Motivating users toward continued usage of information systems: Self-determination theory perspective

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    Continued usage of new <i>Enterprise Resource Planning</i> (ERP) systems has plagued organizations that intend to maximize long-term benefits from their ERP investments. Leadership behavior is widely regarded as one of the key influences for motivating ERP users toward using the system. This study investigates how direct supervisors' leadership styles influence ERP users' motivation to continuously engage with the ERP system. We employed <i>self-determination theory</i> (SDT) and the post-acceptance model of information systems to propose a conceptual model theorizing how transformational and transactional leadership styles affect users' intrinsic and extrinsic motivation, which in turn impacts ERP continuance intentions through user satisfaction and perceived usefulness. Our research model was empirically examined using data collected from 299 ERP users. Our findings have revealed that transformational leadership motivates ERP users differently than transactional leadership, and that user satisfaction and perceived usefulness are salient predictors of ERP continuance intentions. In addition, our research demonstrates a critical role of direct managers' leadership styles in the ERP post-implementation phase. Important theoretical contributions and significant implications for practice are discussed

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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