1,720,956 research outputs found

    Adopting a social purpose in for-profit firms: the role of the board of directors

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    The debate on the purpose of corporations has intensified over the past decade, compelling businesses to reassess their societal roles. To effectively integrate sustainability into corporate strategies, for-profit firms are increasingly encouraged to adopt a pro-social purpose (SP). However, adopting and integrating an SP is a substantial shift that necessitates an internal push from corporate actors. In particular, due to its function of strategic decision-making, the board of directors represents a pivotal player in promoting the adoption of an SP. This research delves into the impact of board characteristics on the likelihood of adopting an SP in for-profit firms. We examined 580 European firms employing propensity score matching and logistic regression methodologies. Our findings offer initial insights on the effect of the board composition on adopting an SP. In particular, we found that cultivating the directors’ network with employees, fostering gender and age diversity, and welcoming highly qualified directors on board are key factors in facilitating the adoption and implementation of an SP in EU for-profit firms. Our study represents the first attempt to quantitatively examine the relationship between the board and SP. By doing so, we contribute to the theoretical advancement of the complementarity of corporate governance and corporate purpose. Moreover, we encourage practitioners to accrue awareness of the board characteristics that facilitate the adoption of an SP within their firms

    When do M&As with Fintech Firms Benefit Traditional Banks?

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    In the last decade, fintech has emerged in the financial sector, introducing numerous innovations that have severely impacted traditional banks. To respond to fintech firms and meet the new needs of consumers, banks seek to align their offerings by integrating fintech knowledge through mergers and acquisitions (M&As) within an open innovation framework. However, it is still not clear when exactly M&As with fintech firms benefit banks. This paper examines the contingency factors that make M&As beneficial for acquirer banks by using a holistic approach that considers the type of firm, type of deal and the context in which M&As occur. We analysed the effect produced by acquirer sustainability, minority acquisitions and institutional distance between the fintech and the bank's country of incorporation by applying an event study methodology using cumulative abnormal returns to gauge effects on expected performance. We have shown which are the conditions that allow us to maximize the acquirer bank's expected performance. Our research advances the scientific understanding of M&A contingency factors, and more generally of open innovation, in the specific context of fintech and banks. Moreover, we provide managers and policymakers with initial advice on the effects fintech M&As have on traditional banks, showing that they can be beneficial under specific conditions

    When do M&As with fintech firms benefit traditional banks?

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    In the last decade, fintech has emerged in the financial sector, introducing numerous innovations that have severely impacted traditional banks. To respond to fintech firms and meet the new needs of consumers, banks seek to align their offerings by integrating fintech knowledge through mergers and acquisitions (M&As) within an open innovation framework. However, it is still not clear when exactly M&As with fintech firms benefit banks. This paper examines the contingency factors that make M&As beneficial for acquirer banks by using a holistic approach that considers the type of firm, type of deal and the context in which M&As occur. We analysed the effect produced by acquirer sustainability, minority acquisitions and institutional distance between the fintech and the bank's country of incorporation by applying an event study methodology using cumulative abnormal returns to gauge effects on expected performance. We have shown which are the conditions that allow us to maximize the acquirer bank's expected performance. Our research advances the scientific understanding of M&A contingency factors, and more generally of open innovation, in the specific context of fintech and banks. Moreover, we provide managers and policymakers with initial advice on the effects fintech M&As have on traditional banks, showing that they can be beneficial under specific conditions

    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

    Banks responding to the digital surge through Open Innovation: Stock market performance effects of M&As with fintech firms

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    The rise of digitalization and advancements in information technology are changing the business environment in a radical manner. In the banking sector specifically, in response to these recent trends and embracing the Open Innovation (OI) framework, banks increasingly seek mergers and acquisitions (M&As) with fintech firms. Since it is unclear what is the impact of these M&A transactions, this research investigates their effect on an acquiring bank's future profits. To this end, the study applies an event study methodology to measure the stock market reaction to the announcements of M&A operations. In addition to advancing scientific knowledge about the effects brought about by fintech M&As on a bank's future profits, and more broadly shedding light on the boundary conditions that make OI practices beneficial for organizations, the findings of this study are also relevant for managers because they provide preliminary advice on which acquisitions are more beneficial for banks

    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

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