53,964 research outputs found

    Autonomy, Signature and Creativity

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    Entrepreneurship, methodologies in higher education an experience in a portuguese business school

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    Today entrepreneurship education is an important issue to improve the process of creating new firm assuming new risks and rewards. The theoretical discussion about around the question: “Entrepreneurs are born or made?” assume that is possible educate to be entrepreneurs. Schools have an important role in this process. Believing in this possibility our Business School developed a set of pedagogical methodologies supported in apprenticeship based on “learning by doing”. This pedagogical methodology was created through a study of best practices. This study aims to propose a set of innovative methodologies and students perceptions about their apprenticeship experience/process. The study concludes with a set of recommendations and a best practices manual useful to appliance in higher education.Innovative methodologies; entrepreneurship education; learning by doing

    Demographics and Perceptions of Work Environment for Registered Nurses

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    Registered nurses (RNs) are the lifeblood of hospitals. Therefore, retaining skilled nurses is necessary to insure the viability of these institutions. A two-year longitudinal, non-experimental research study utilized a descriptive design to compare the perceptions of RNs who remained on their units to those who left or changed units over a two-year time period. The purpose of this study was to ascertain whether there was a statistically significant difference between these two groups. Results in several areas indicate that further evaluation is necessary by nurse managers and administration. This information could help retain RNs as well as attract qualified nurses to a center of excellence

    Small businesses in the new creative industries:innovation as a people management challenge

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    Purpose - This paper presents findings from an SME case study situated in the computer games industry, the youngest and fastest growing of the new digital industries. The study examines changing people management practices as the case company undergoes industry-typical strategic change to embark on explorative innovation and argues that maintaining an organisational context conducive to innovatin over time risks turning into a contest between management and employees as both parties interpret organisational pressures from their different perspectives. Design/methodology/approach - A single case study design is used as the appropriate methdology to generate indepth qualitative data from multiple organisational member perspectives. Findings - Findings indicate that management and worker perspectives on innovation as strategic change and the central people management practices required to support this differ significantly, resulting in tensions and organisational strain. As the company moves to the production of IP work, the need for more effective duality management arises. Research limitations/implications - The single case study has limitations in terms of generalisability. Multiple data collection and triangulation were used to migitate against the limitations. Practical implications - The study highlights the importance of building up change management capability in the small businesses typical for this sector, an as yet neglected focus in the academic iterature concerned with the industry and in support initatives. Originality/value - Few qualitative studies have examined people management practices in the industry in the context of organisational/strategic change, and few have adopted a process perspective

    Authorship as cultural performance: new perspectives in authorship studies

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    This article proposes a performative model of authorship, based on the historical alternation between predominantly 'weak' and 'strong' author concepts and related practices of writing, publication and reading. Based on this model, we give a brief overview of the historical development of such author concepts in English literature from the Middle Ages to the twentieth century. We argue for a more holistic approach to authorship within a cultural topography, comprising social contexts, technological and media factors, and other cultural developments, such as the distinction between privacy and the public sphere

    The Critical Theory of Artistic Capitalism

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    This article takes up Lipovetsky‟s discussion on artistic capitalism in L’esthĂ©tisation du monde. Vivre Ă  l’ñge du capitalisme artiste, to trace its definitions and methodological construction, but also in order to create a critical theory of artistic capitalism, based on the following working-hypothesis: the production of art and the production of self, understood in the sense of a Foucauldian project of the aesthetics of existence, represent correspondent purposes in artistic capitalism. My research will be focused on examining previous attempts of developing such a critical inquiry, claimed by Luc Boltanski, Eve Chiapello, and Luc Ferry. It is my thesis that the failure of a homogeneous critical theory of artistic capitalism is owed to different inconsistent interpretations of contaminating ethics with aesthetics in order to create an ideal of morality and authenticity for the existence of the individual inspired by contemporary techniques of art production, aspects that were conceived by Lipovetsky as parts of the process of the “aestheticization of the world”

    Uncertainties in the Algorithmic Image

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    The incorporation of algorithmic procedures into the automation of image production has been gradual, but has reached critical mass over the past century, especially with the advent of photography, the introduction of digital computers and the use of artificial intelligence (AI) and machine learning (ML). Due to the increasingly significant influence algorithmic processes have on visual media, there has been an expansion of the possibilities as to how images may behave, and a consequent struggle to define them. This algorithmic turnhighlights inner tensions within existing notions of the image, namely raising questions regarding the autonomy of machines, author- and viewer- ship, and the veracity of representations. In this sense, algorithmic images hover uncertainly between human and machine as producers and interpreters of visual information, between representational and non-representational, and between visible surface and the processes behind it. This paper gives an introduction to fundamental internal discrepancies which arise within algorithmically produced images, examined through a selection of relevant artistic examples. Focusing on the theme of uncertainty, this investigation considers how algorithmic images contain aspects which conflict with the certitude of computation, and how this contributes to a difficulty in defining images
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