1,720,967 research outputs found

    Chatbots that cognitively helps human: the digital helper as a new way to support the decision making

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    Worldwide, the recent national development strategies as Industry 4.0 have the aim to support industrial companies in the adoption of the I4.0 technologies such as big data, analytics, cloud, AR/VR, AI, etc. Such intent is justified by the fact that the digital transformation of manufacturing companies is considered a key step to seize game-changing opportunities and gain competitiveness in the market. The servitization of manufacturing companies (i.e. increasingly offering services that are directly coupled to their products) represents one of such opportunities since the service processes (customer support, call handling, help desk, remote monitoring and optimization, etc.) are first digital processes and not physical, as far as the value creation comes from the transformation of input in output of informative type and so it implies the integration of data of different formats, uniform the types, normalize their quality, etc.. The adoption of solutions capable of supporting service operators in such processes and therefore not only favoring the evolution and scalability of service portfolio as the numbers increase (e.g. the interconnected installed base increases) but also to support the reorganization and optimization of the processes involved, can be fundamental. The paper tells how, with the help of a real case (Ricoh Italy), the adoption of digital helpers – which bring together cognitive computing (enables a machine to infer, reason, and learn in a way that emulates the way humans do those things.) with automatic interfaces (i.e. chatbot) – can be a solution to improve the interactions between a given decision-maker (i.e. service operator) and the application portfolio supporting the process (ERP/CRM suite, field service managementsoftware, knowledge base for hotline and technical support, ...)

    Are practitioners and literature aligned about digital twin?

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    The attention of practitioner and research on the concept digital twin is constantly growing: many companies have already in their offer a so-called digital twin and literature have seen in the recent years a strong increase of contributions on the topic, nevertheless, none of them ever stated if it is the same thing to which the professionals are referring to. For this reason, the purpose of this paper is to understand whether literature and practitioners are aligned about the digital twin paradigm, eventually identifying which are the differences and so define what are the possible developments for future research

    Digital servitization of SMEs: the role of knowledge-intensive business services (KIBS)

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    Purpose: The aim of the paper is to investigate the role played by KIBS firms in the digital servitization of SMEs. Design/Methodology/Approach: The paper is based on a retrospective case-study of an Italian small manufacturing SME that undertook digital servitization, with the facilitation of a KIBS firm. Findings: The paper shows how the firm developed a multi-stage approach and the knowledge stocks that were created by the interplay between the SME and the KIBS in the initial stage of their partnership. Originality/Value: This study contributes to fill a gap in the literature, providing evidence on how small and medium-sized manufacturers can develop both digitization and servitization, and innovate their business model, fulfilling the knowledge gaps that previous literature had pointed out

    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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