1,720,968 research outputs found
What's Your Stake When Engaging in Licensing? A Comparison Between Standard and Partnership-Embedded Licensing Strategies
No full textWhen engaging in licensing, companies may either use standard agreements or may embed the licensing deals into broader partnerships. Whether these alternative schemes are more frequently associated with particular types of licensors and licensees and whether they imply different outcomes for the two parties is still underinvestigated in the relevant literature. Inspired by this, our exploratory study, enriched by 341 observations of licensing contracts signed between 1990 and 2010, addresses these research gaps. Aiming at this, this article offers a full-fledged analysis, encompassing an in-depth overview of the overall licensing deals, a detailed description of the licensing parties’ profiles, and a t-test comparison of licensing parties’ traits both at the time of the licensing deal and after the deal, in the two different regimes. Further, it presents a complementary econometric exercise for assessing the impact of the two alternatives for both the licensor and the licensee. The study shows that, in general, licensors are more inventive and less specialized than licensees, and that licensors and licensees engaging in standard licensing have a higher knowledge overlap than firms engaging in partnership embedded licensing. The difference is also remarkable in terms of the outcomes of the different license agreements measured through patenting activity: the licensor is more likely to guide the invention process in standard licensing contexts, while the licensee is more likely to guide it in the opposite scenario
Strategic Alliances in the Electromobility Sector
Full text linkSince the late 2000s, the transition from a fossil fuel-based system to the fully renewable system has begun. This period, known as an Era of Ferment, is characterized by high technical and economic uncertainty and it's leading the automotive industry towards a paradigm shift: developing new car technologies, creating charging infrastructure needs and shaking up the supply chain structure. In light of ecosystem theory and the importance of alliances in the quest to develop an electric vehicle market, this paper analyses the electromobility ecosystem, tracking its lifecycle and investigating vertical and horizontal alliances between the main actors over time, including original equipment manufacturers, traditional suppliers, battery suppliers, and charging infrastructure providers. We analyzed an original longitudinal dataset composed of 281 alliances in the electric passenger vehicles market, initiated between 2000 and 2015. Through the study of the network of alliances, we describe the Electric Vehicle ecosystem's evolution, examining the entry time of incumbents, suppliers and complementors, the role of actors in the ecosystem and their previous industry sector, the key knowledge they possess and technological areas in which they operate, and the nations involved. Key network measures also provide insights into power and connectedness of different actors, highlighting a creative accumulation strategy of the incumbents
Data science for engineering design: State of the art and future directions
Full text linkEngineering design (ED) is the process of solving technical problems within requirements and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that uses computational systems to extract knowledge from structured and unstructured data. The synergies between these two fields have a long story and throughout the past decades, ED has increasingly benefited from an integration with DS. We present a literature review at the intersection between ED and DS, identifying the tools, algorithms and data sources that show the most potential in contributing to ED, and identifying a set of challenges that future data scientists and designers should tackle, to maximize the potential of DS in supporting effective and efficient designs. A rigorous scoping review approach has been supported by Natural Language Processing techniques, in order to offer a review of research across two fuzzy-confining disciplines. The paper identifies challenges related to the two fields of research and to their interfaces. The main gaps in the literature revolve around the adaptation of computational techniques to be applied in the peculiar context of design, the identification of data sources to boost design research and a proper featurization of this data. The challenges have been classified considering their impacts on ED phases and applicability of DS methods, giving a map for future research across the fields. The scoping review shows that to fully take advantage of DS tools there must be an increase in the collaboration between design practitioners and researchers in order to open new data driven opportunities
Attracting Talent Through the Elimination of Gender Bias in Job Vacancies: A Preliminary Lexical Approach
No full textLanguage can often be considered gender-specific (Weatherall, 2005). In the workplace, this can lead to biases in recruitment processes (Bem & Bem, 1973; Gaucher et al., 2011), creating barriers for women to access male-dominated industries. Using Text Mining, Semantic and Social Network Analysis, we present a novel approach to address this
Twenty years of Gender Equality Research: A Literature Review based on a New Semantic Indicator
No full textValue Creation in Emerging Technologies through Sentiment Analysis of Scientific Papers: The Case of Blockchain
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
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