186,361 research outputs found

    Towards a (More) Dynamic Theory of Internationalization:International Market Withdrawal as Empirical Extreme

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    Although built to explain an inherently dynamic process, current theories of internationalization are criticized for having limited dynamic qualities. To come to this conclusion, we adopt international market withdrawal as an empirical extreme. We expect dynamic theories of internationalization to be able to accommodate and explain international market withdrawal within the scope of the internationalization process of the firm. An integrated global strategy framework is presented as a promising point of departure toward this aim. To assess this framework's dynamic qualities, we compare it with the ‘stages’ models of internationalization and the transaction-cost based international business theory. Although this integrated global strategy framework — and especially the resource-based part of it — seems to outperform these two established theories, the framework is not capable of fully explaining the dynamics in the internationalization process of the firm. Moreover, the integrated global strategy framework struggles with the paradigmatic incompatibilities among its fundamental explananda. Adopting the resource-based perspective as a pivotal point, we propose an (emergent) resource-based evolutionary theory of the firm as a dynamic framework that is capable of explaining international market withdrawal and the internationalization process of the firm

    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

    New competencies for customer value creation: An exploratory study

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    Recent marketing literature suggests companies to become market driving (proactive business logic, changing the rules of the market) instead of market driven (reactive business logic, customer-led). This transformation implies that companies are able to boost their capacity to create new customer value. Based on survey data of business-to-business markets, we advance a tentative model that links competence development to new customer value creation. Although exploratory in its nature, our study exhibits that companies should build three types of competences: marketing practices for external knowledge absorption, general organizational competences and supply chain/network competences. Using cluster analysis, we are able to further link these competences to the capacity of new value creation. Four clusters are detected with different degrees of expertise in new value creation and each displaying their own profile of competences. Becoming market driving requires an integrated and balanced view on marketing practices. (c) 2006 Elsevier Inc. All rights reserved

    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

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt

    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

    Dr. Edward P. Wimberly, ITC, July 2011

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    This video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer
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