1,720,963 research outputs found

    Can digitalization favour the emergence of innovative and sustainable business models? A qualitative exploration in the automotive sector

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    Purpose: The purpose of this paper is to explore the role of the digitalization phenomenon in the development of innovative business models that are sustainability oriented. Thus, the authors aim to understand whether the presence of digitalization forces companies to create, capture and deliver value in new ways, focusing on their social impact. Design/methodology/approach: Through the analysis of a case study in the automotive sector, the authors provide evidence that both digitalization and sustainability need to be considered to adequately innovate business models. Moreover, these two dimensions are interrelated, and therefore digitalization sustains sustainability and vice versa. Findings: By inductively investigating the evolutionary path along which companies tend to adapt their business models to digitalization and sustainability trends, the authors found that this innovative transformation needs to be as sustainable as possible in order to offer benefits to organizations, customers and society at large. Furthermore, the authors revealed that, at least in the automotive sector, companies and customers are aware of the remarkable consequences of digitalization; however, they are still uncertain regarding the actual adoption of new technologies. Originality/value: The literature on business model innovation is quite extensive. However, the role of digitalization in developing sustainable business models to achieve a competitive advantage has been overlooked. This study suggests that, within a specific context, forging a value network of stakeholders is helpful when innovating a business model with a sustainability orientation

    How can organizations leverage big data to innovate their business models? A systematic literature review

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    The use of big data has garnered increasing importance in academic research and managerial practice thanks to the benefits it can produce in terms of innovation. However, big data also has drawbacks that have been overlooked so far. Therefore, to ensure the benefits outweigh the costs of big data, and to unlock the full potential of big data in terms of business model innovation, we argue that companies need to have a clear map of all its possible uses. With this aim in mind, we have summarized the current state of scholarship, outlined the uses of big data across different business areas in private and public organizations, and the types of methodologies adopted, and we have suggested future research avenues, building upon our systematic literature review of 311 articles indexed in the Scopus database. In this manner, we contribute to increasing our scientific understanding of the big data phenomenon, and we provide theoretical and practical advice on the possible uses of big data that may allow companies to innovate their business models

    Blockchain technology to protect label information: The effects on purchase intentions in the food industry

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    Blockchain technology is continuing to spread in many sectors, including the food industry, which has begun to embrace it in order to face new transformative trends. Indeed, since it is based on distributed ledgers and the encryption of stored data, blockchains may provide greater security for information delivered. It is still unclear what effects the use of blockchains has on customer behavior in the food sector. Consequently, our analyses tested the impact that blockchains have on customer purchase intentions in the food sector. Our results show that information provided to customers about the use of a blockchain to protect information throughout the supply chain can positively influence their purchase intentions. This study, consequently, offers new insights into the benefits generated by blockchains in the food sector and contributes to scientific understanding of the phenomenon overall. Moreover, our results provide insights that are also useful for managers and policymakers to further spread the use of blockchains

    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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