1,721,044 research outputs found

    Expected benefits and perceived risks of cloud computing: an investigation within an Italian setting

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    Over the past several years, cloud computing has increasingly been regarded as able to improve efficiency within organisations. The aim of this study is to address under-investigated issues related to the implementation of cloud computing, with a particular focus on expected benefits and the perception of risks. Towards this aim, on the basis of an adapted version of the technology acceptance model, we carried out a semi-structured survey among first-time cloud computing users to identify expected benefits and perceived risks. The survey of this study included a sample of 130 individuals in 65 enterprises located within Italy. We chose an Italian setting because it is characterised by an increasing number of programmes that emphasise the importance of cloud computing and support its wide dissemination. The findings of this study identify possible areas for improvement within the implementation phases of cloud computing

    From technology acceptance model to technology risk acceptance. A model proposal

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    Analisi dei fattori che influenza l'implementazione di tecnologie in aziend

    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

    Addressing Corruption: Identifying the Factors Affecting the Disclosure of Anticorruption Plans in Italian Local Governments

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    The never-ending fight against corruption has driven local governments (LGs) to prepare and disclose their strategies to prevent and/or reduce corruption. This paper aims to identify possible determinants that can affect disclosure provided through anticorruption plans, specifically the factors that can affect accountability behaviour. To this end, anticorruption plans published by a sample of Italian LGs are analysed. Findings reveal that governance, economic and socio-political features considerably affect anticorruption disclosure. The key lessons from the findings reveal that anticorruption regulations require further surveillance and that key mechanisms must be implemented for more effective action

    Exploring factors motivating entrepreneurial intentions: the case of Italian university students

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    This study aims to identify the factors motivating the intentions of university students to become entrepreneurs. Leveraging data from a survey of 941 Italian students and adopting Ajzen’s theory of planned behaviour, this paper employs the structural equation model to identify factors explaining students’ entrepreneurial intentions. The findings show that attitudes, subjective norms and perceived behavioural control positively shape Italian students’ intentions. Moreover, the findings signal that the skills acquired during the university pathway play a crucial role in encouraging students to consider entrepreneurial choices. The paper extends and complements the academic and policy debate in the field of entrepreneurship offering a comprehensive investigation of the factors affecting entrepreneurial intentions. It also allows us to contend that higher education may have an important role to play in fostering the entrepreneurial intentions of young people. This is especially significant given current global economic conditions and the renewed importance of self-employment strategies

    Please, Help Me to Improve: The Role of Targets’ E, S & G Scores in M&A Operations

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    In the context of mergers and acquisitions (M&As) operations, the present research investigates whether and how the post-deal change in the acquirer’s ESG score is affected by the target’s ESG score. More specifically, detangling the ESG paradigm, this study aims to understand whether and how each dimension drives the change in the acquirers’ post-deal ESG performance. To this aim we perform a set of OLS regressions on a sample composed by 132 M&As operations involving European listed firms from 2015 to 2021. Our results reveal that by acquiring more sustainable targets, buyers improve their own ESG performance one year after the M&A transaction. Also, we show that such result is driven by better governance standards of the targets, rather than by their higher social and environmental orientations. Our research has relevant implications for both investors and policy makers whereas the former can assess better their ESG-related investment decisions, and the latter may encourage firms to disclose their ESG performance. Also, our additional analysis makes regulators aware of the potentially unethical behaviour of firms acting in M&As market
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