517,057 research outputs found

    AUTOMOTIVE INDUSTRY ANALYSIS BASED ON SOCIAL NETWORK SERVICES CONTENT (CASE STUDY: GENERAL MOTORS AND VOLKSWAGEN IN TWITTER, FACEBOOK AND INSTAGRAM)

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    Digital flows now exert a larger impact, the world is now more connected than ever, the amount of cross-border bandwidth that used has grown 45 times larger since 2005. With the massive amount of data spreading in the net, including social media. Speed is one most essential factor in business. companies can take advantage of social media as a source to be analyze and extract the customer’s opinion, and therefore the company can have quick response towards the condition. The main purpose of this research is content analysis, to obtain the goal, we need to extract the information as well as summarize the topic inside it. However, in order to analyze the content quickly, there are varies choice of tools with its specific output that creates challenges in the process. The author use text network to map the connection between word, Naïve Bayes Sentiment Analysis, and topic modelling based on Latent Dirichlet Allocation (LDA) to evaluate the sentiment of the topic as well as the model of the topics discussed. This research is intended to help both companies and individuals to map the public opinion towards certain topic by visualizing network of the word, analyzing the sentiment of the text, and create a topic model. Therefore, a real time information for determining the consumer opinion become crucial part. Twitter, Facebook, Instagram as most used platform in the world can serve the purpose as a source of real time information from user generated content. The author picks automotive industry, with General Motors and Volkswagen brand as the case study, viewed as one of the most known automotive brand, and topped off the revenue of automotive brand sales

    Slow and Fast: An experiential storytelling dialogue about festivals

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    Speed has a long history of usage in managerial discourse, both as a metric of efficiency and as a point of resistance. In this text we explore its validity as a category for organizing experience, through autoethnographic exploration of participation in experience economy events. We present slow and fast as distinct modes of experiencing the same festivals, and explore the possibility of arriving at a syzygic mode uniting the two oppositions (while preserving their inherent contradictions). Finally, we reflect on the possibility of utilizing ethnographic bursts of experience as a tool for more nuanced management education

    Dromoeconomics: Towards a Political Economy of Speed

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    In this article we present an alternative theoretical perspective on contemporary cultural, political and economic practices in advanced countries. Like other articles in this issue of parallax, our focus is on conceptualising the economies of excess. However, our ideas do not draw on the writings of Georges Bataille in The Accursed Share, but principally on Virilio’s Speed & Politics: An Essay on Dromology and Marx’s Capital and the Grundrisse.4 Using a modest synthesis of tools provided by these theorists, we put forward a tentative conceptualisation of ‘dromoeconomics’, or, a political economy of speed

    What influences the speed of prototyping? An empirical investigation of twenty software startups

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    It is essential for startups to quickly experiment business ideas by building tangible prototypes and collecting user feedback on them. As prototyping is an inevitable part of learning for early stage software startups, how fast startups can learn depends on how fast they can prototype. Despite of the importance, there is a lack of research about prototyping in software startups. In this study, we aimed at understanding what are factors influencing different types of prototyping activities. We conducted a multiple case study on twenty European software startups. The results are two folds, firstly we propose a prototype-centric learning model in early stage software startups. Secondly, we identify factors occur as barriers but also facilitators for prototyping in early stage software startups. The factors are grouped into (1) artifacts, (2) team competence, (3) collaboration, (4) customer and (5) process dimensions. To speed up a startups progress at the early stage, it is important to incorporate the learning objective into a well-defined collaborative approach of prototypingComment: This is the author's version of the work. Copyright owner's version can be accessed at doi.org/10.1007/978-3-319-57633-6_2, XP2017, Cologne, German

    Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

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    The recent advances in cloud services technology are fueling a plethora of information technology innovation, including networking, storage, and computing. Today, various flavors have evolved of IoT, cloud computing, and so-called fog computing, a concept referring to capabilities of edge devices and users' clients to compute, store, and exchange data among each other and with the cloud. Although the rapid pace of this evolution was not easily foreseeable, today each piece of it facilitates and enables the deployment of what we commonly refer to as a smart scenario, including smart cities, smart transportation, and smart homes. As most current cloud, fog, and network services run simultaneously in each scenario, we observe that we are at the dawn of what may be the next big step in the cloud computing and networking evolution, whereby services might be executed at the network edge, both in parallel and in a coordinated fashion, as well as supported by the unstoppable technology evolution. As edge devices become richer in functionality and smarter, embedding capacities such as storage or processing, as well as new functionalities, such as decision making, data collection, forwarding, and sharing, a real need is emerging for coordinated management of fog-to-cloud (F2C) computing systems. This article introduces a layered F2C architecture, its benefits and strengths, as well as the arising open and research challenges, making the case for the real need for their coordinated management. Our architecture, the illustrative use case presented, and a comparative performance analysis, albeit conceptual, all clearly show the way forward toward a new IoT scenario with a set of existing and unforeseen services provided on highly distributed and dynamic compute, storage, and networking resources, bringing together heterogeneous and commodity edge devices, emerging fogs, as well as conventional clouds.Peer ReviewedPostprint (author's final draft

    A conceptual model for assessing managerial implications of changes in information technologies (Bilişim teknolojilerindeki değişimlerin yönetsel sonuçlarının değerlendirmesi için kavramsal bir model)

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    Information Technologies and business should be considered together to get the best results in business life. Therefore their integration and reflections on each other are very important in managing institutional change due to changes in the IT world. Change is a very sensitive concept that must be managed very carefully. In this article, a framework for managing IT based changes by protecting the business leverage and through all levels of hierarchy in the company is proposed

    Organizational knowledge transfer through creation, mobilization and diffusion: A case analysis of InTouch within Schlumberger

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    There is a paucity of theory for the effective management of knowledge transfer within large organisations. Practitioners continue to rely upon ‘experimental’ approaches to address the problem. This research attempts to reduce the gap between theory and application, thereby improving conceptual clarity for the transfer of knowledge. The paper, through an in-depth case analysis conducted within Schlumberger, studies the adoption of an intranet-based knowledge management (KM) system (called InTouch) to support, strategically align and transfer knowledge resources. The investigation was undertaken through the adoption of a robust methodological approach (abductive strategy) incorporating the role of technology as an enabler of knowledge management application. Consequently, the study addressed the important question of translating theoretical benefits of KM into practical reality. The research formulates a set of theoretical propositions which are seen as key to the development of an effective knowledge based infrastructure. The findings identify 30 generic attributes that are essential to the creation, mobilisation and diffusion of organisational knowledge. The research makes a significant contribution to identifying a theoretical and empirically based agenda for successful intranet-based KM which will be of benefit to both the academic and practitioner communities. The paper also highlights and proposes important areas for further research
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