El Desarrollo Exitoso de Startups como un Trend Global de Transformaciones Socio-economicas Innovativas

In order to make positive socio-economic transformations, the concept of the sustainable development was proposed and it can be implemented through the innovation. And startups are among the modern innovation drivers. So, the aim of the research was to identify the key startup success factors and to develop an instrument for startup success evaluation in order to minimize the loss of time and resources and partly overcome the high uncertainty rates, specific to the startup industry, using multidisciplinary approach and, in turn, contribute to the sustainable development implementation. It was found that there are three main constituents which influence the startup success – an external environment, startup activity and an internal startup environment. The determined success factors were analyzed according to the groups which correspond to these constituents. The mathematical model in the form of the Bayesian network for evaluation and prediction of the startup success was developed. It was found that the modeled startup success probability is most likely to be of a low or an average level. The conditional probabilities distribution for the startup success was also analyzed. The developed model can be used for the startups success levels determination in a particular country, specific market, etc.Para lograr transformaciones socioeconómicas positivas, se propuso el concepto de desarrollo sostenible y se puede implementar a través de la innovación. Y las startups se encuentran entre los impulsores de la innovación moderna. Por lo tanto, el objetivo de la investigación fue identificar los factores clave de éxito de startups y desarrollar un instrumento para la evaluación del éxito de startups con el fin de minimizar la pérdida de tiempo y recursos y superar en parte las altas tasas de incertidumbre específicas de la industria de startups, partiendo de un enfoque multidisciplinar y, a su vez, contribuir a la implementación del desarrollo sostenible. Se descubrió que hay tres componentes principales que influyen en el éxito de los startups: el entorno externo, la actividad de startups y el entorno interno de startups. Los factores de éxito determinados se analizaron de acuerdo con los grupos que corresponden a estos constituyentes. Se desarrolló el modelo matemático en forma de red Bayesiana para la evaluación y predicción del éxito de la startup. Se encontró que la probabilidad de éxito de la startup modelada es más probable que sea de un nivel bajo o promedio. La distribución de probabilidades condicionales para el éxito de la puesta en marcha también se analizó. El modelo desarrollado se puede usar para la determinación de los niveles de éxito de las startups en un país en particular, un mercado específico, etc

Successful development of startups as a global trend of innovative socio-economic transformations

In order to make positive socio-economic transformations, the concept of the sustainable development was proposed and it can be implemented through the innovation. And startups are among the modern innovation drivers. So, the aim of the research was to identify the key startup success factors and to develop an instrument for startup success evaluation in order to minimize the loss of time and resources and partly overcome the high uncertainty rates, specific to the startup industry, using multidisciplinary approach and, in turn, contribute to the sustainable development implementation. It was found that there are three main constituents which influence the startup success – an external environment, startup activity and an internal startup environment. The determined success factors were analyzed according to the groups which correspond to these constituents. The mathematical model in the form of the Bayesian network for evaluation and prediction of the startup success was developed. It was found that the modeled startup success probability is most likely to be of a low or an average level. The conditional probabilities distribution for the startup success was also analyzed. The developed model can be used for the startups success levels determination in a particular country, specific market, etc

Education 2.0: Exploring the challenges of Corvinus University in the long tail economy of global higher education

Our basic storyline is how the business and economics higher education landscape has changed with the introduction of the Bologna programs. We borrowed the fashionable long tail concept from e-business, and used it for modeling the new landscape of internationalization of universities. Internationalization, mobility, and the appearance of the internet generation at the gates of our universities in our opinion has brought us to a new e-era which, appropriately to our web analogies we might as well call Education 2.0.In our paper first we show the characteristics of the long tail model of the Bologna-based European higher education and potential messages for strategy making in this environment. We illustrate that benchmarking university strategies situated in the head of the long tail model will not always provide strategic guidance for universities sitting in the tail. For underlining some key concerns in the Hungarian niche, we used Corvinus University as a case study to illustrate some untapped challenges of the Hungarian Bologna reform. We explored three areas which are crucial elements of the “tail” strategy in our opinion: a) the influence of state regulation, b) social situations and impacts and c) internal university capabilities

Research program of the research unit "Cultural Sources of Newness"

"In this discussion paper the program of the Research Unit 'Cultural Sources of Newness' is presented. Short descriptions of currently nine projects follow. The assumption driving the research program is that newness lies at the core of innovations and emerges in cultural sources, which are analyzed as cultural configurations. The research focuses on the relevance of these cultural constellations rather than on technical or political aspects. Three kinds of processes are identified as being decisive for innovations: 1) the continuous variation of cultural forms and practices; 2) the evaluation of newness; 3) the states of tension that arise within and between cultures. The research program assumes that the interplay of these three processes determines the spectrum and spread of successful innovations. The program is organized in three empirical strands. The strands cover the spatial, interactive and temporal dimensions of cultural configurations, and the projects focus on phenomena of different orders of magnitude." (author's abstract)"Im ersten Teil wird das Forschungsprogramm der Abteilung 'Kulturelle Quellen von Neuheit' entwickelt, im zweiten Teil folgen kurze Beschreibungen von insgesamt neun Projekten. Neuheit, so die zugrundeliegende Annahme des Forschungsprogramms, bildet den Kern von Innovationen und entsteht aus kulturellen Quellen, die als kulturelle Konfigurationen analysiert werden. Die Relevanz dieser kulturellen Konstellationen für das Innovationsgeschehen - im Unterschied zu technischen oder politischen Aspekten - ist der Gegenstand der Forschung. Dabei gelten drei Prozesse als entscheidend für die Qualität und Anschlussfähigkeit von Innovationen: 1) die ständige Variation kultureller Selbstverständlichkeiten, 2) Prozesse der Bewertung als Neuheit und 3) Spannungszustände, die in und zwischen Kulturen auftreten. Das Zusammenspiel dieser drei Prozesse, so die These, bestimmt das Spektrum und die Reichweite der Innovationen. Die empirischen Felder des Forschungsprogramms sind aus der räumlichen, interaktiven und zeitlichen Dimensionierung kultureller Konfigurationen hergeleitet. In jedem der Felder untersuchen die Projekte Phänomene unterschiedlicher Größenordnung." (Autorenreferat

Geospatial information infrastructures

Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Geospatial information infrastructures (GIIs) provide the technological, semantic,organizationalandlegalstructurethatallowforthediscovery,sharing,and use of geospatial information (GI). In this chapter, we introduce the overall concept and surrounding notions such as geographic information systems (GIS) and spatial datainfrastructures(SDI).WeoutlinethehistoryofGIIsintermsoftheorganizational andtechnologicaldevelopmentsaswellasthecurrentstate-of-art,andreflectonsome of the central challenges and possible future trajectories. We focus on the tension betweenincreasedneedsforstandardizationandtheever-acceleratingtechnological changes. We conclude that GIIs evolved as a strong underpinning contribution to implementation of the Digital Earth vision. In the future, these infrastructures are challengedtobecomeflexibleandrobustenoughtoabsorbandembracetechnological transformationsandtheaccompanyingsocietalandorganizationalimplications.With this contribution, we present the reader a comprehensive overview of the field and a solid basis for reflections about future developments

An Analysis of Digital Transformation in the History and Future of Modern Ports

Digital transformation is of utmost importance in the business world with major impacts on any of its sectors. Here we consider ports and logistics within maritime shipping to exemplify those developments. That is, as actors in world-wide supply chains, seaports are particularly affected by technological change. Due to the high requirements in the logistics sector, e.g., regarding costs, efficiency, security, and sustainability, digital innovation is essential to stay competitive. Past developments show how digital innovation can shape the modernization of ports. In order to understand future challenges in this area, it is inevitable to review the outcomes of past developments and their impact on port operations. In this paper, we provide an extensive analysis of digital transformations in seaports. We identify three generations and analyze the stages of respective digital transformations using a well-known model from literature. Based on the observations, we identify important aspects and challenges

New service development (NSD) process in the collaborative networks context : a study of NSD performance factors across its different stage

Tese de Doutoramanto. Engenharia Industrial e Gestão. Faculdade de Engenharia. Universidade do Porto. 201