177 research outputs found

    Seismic Attributes: Taxonomic Classification for Pragmatic Machine Learning Application

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    Seismic interpretation involves more than simply picking faults and horizons. It involves the interpretation of geologic features — their geometry, morphology, and the context of one group of rocks to another. It involves using well log information, memories from fieldwork, and photos from outcrops. It involves the understanding of salt mechanics, wave propagation, and signal analysis. It requires context and agile minds that can readily distinguish mud volcanoes from salt diapirs or multiples from reflectors. It is a difficult practice, and individuals spend their entire careers devoted to it. Seismic attributes have always been considered by many to be an art form — a “dark art” — practiced by a chosen few. The proliferation of attributes to the workstation has not, unfortunately, proliferated the understanding of what the attributes mean or of what they are capable. Today, you will often find the seismic attribute specialists in quantitative interpretation or computational geophysics groups. The perspective of these specialists and of general interpreters can be quite different. They understand both physics and geology in different ways and at different levels. As the discipline moves toward new technologies and the promises of new algorithms like convolutional neural networks and other forms of machine learning, we must remind ourselves that the technical understanding required of scientists and professionals grows accordingly. However, like the proliferation of seismic attributes (e.g., geometric and single-trace), machine learning approaches will feel underwhelming by those who fail to understand both the algorithms and what can reasonably be achieved. This dissertation provides the reader with the foundational knowledge one requires to begin to understand seismic attributes and how they can be used with machine learning algorithms. I begin by establishing a common framework on which to communicate. I build upon that through the development of a procedure to enhance faults in seismic data using commercially available tools, and I end with the introduction of a simple, but effective, use of self-organizing maps, a simple machine learning algorithm

    Quantum Game Theory and Open Access Publishing

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    The digital revolution of the information age and in particular the sweeping changes of scientific communication brought about by computing and novel communication technology, potentiate global, high grade scientific information for free. The arXiv for example is the leading scientific communication platform, mainly for mathematics and physics, where everyone in the world has free access on. While in some scientific disciplines the open access way is successfully realized, other disciplines (e.g. humanities and social sciences) dwell on the traditional path, even though many scientists belonging to these communities approve the open access principle. In this paper we try to explain these different publication patterns by using a game theoretical approach. Based on the assumption, that the main goal of scientists is the maximization of their reputation, we model different possible game settings, namely a zero sum game, the prisoners' dilemma case and a version of the stag hunt game, that show the dilemma of scientists belonging to ''non-open access communities''. From an individual perspective, they have no incentive to deviate from the Nash Equilibrium of traditional publishing. By extending the model using the quantum game theory approach it can be shown, that if the strength of entanglement exceeds a certain value, the scientists will overcome the dilemma and terminate to publish only traditionally in all three settings.Comment: 11 pages, 16 figure

    Seeing the big PICTURE: A framework for improving the communication of requirements within the Business-IT relationship

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    The relationship between the business and IT departments in the context of the organisation has been characterised as highly divisive. Contributing problems appear to revolve around the failure to adequately communicate and understand the required information for the alignment of business and IT strategies and infrastructures. This study takes a communication-based view on the concept of alignment, in terms of the relationship between the retail business and IT within a major high street UK bank. A research framework (PICTURE) is used to provide insight into this relationship and guide the analysis of interviews with 29 individuals on mid-high management level for their thematic content. The paper highlights the lessons that can be derived from the study of the BIT relationship and how possible improvements could be made

    The sociomateriality of organisational life: considering technology in management research

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    Drawing on a specific scenario from a contemporary workplace, I review some of the dominant ways that management scholars have addressed technology over the past five decades. I will demonstrate that while materiality is an integral aspect of organisational activity, it has either been ignored by management research or investigated through an ontology of separateness that cannot account for the multiple and dynamic ways in which the social and the material are constitutively entangled in everyday life. I will end by pointing to some possible alternative perspectives that may have the potential to help management scholars take seriously the distributed and complex sociomaterial configurations that form and perform contemporary organisations

    A bibliometric study of the literature on technological innovation: an analysis of 60 international academic journals

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    This paper aims to contribute to the debate on technological innovation, organization and work. Although technological innovation remained a debated topic in the academic literature during the past years, its implications for organizational processes seem still not sufficiently theorized and empirically investigated. By using two complementary journals’ rankings a search in the ISI Web of Science platform from 1985 through 2013 was performed. To analyze the 998 scientific retrieved contributions a bibliometric analysis has been conducted, adopting also Social Network Analysis tools. Our results reveal a significant growth of the technological innovation literature over the investigated period, the multidisciplinarity of the field and, particularly, the relevance of management and business & economics contributions. Overall, this study offers a broad overview of the literature on technological innovation and emphasizes the opportunity to investigate the role of technological innovation within the organizational life.This paper aims to contribute to the debate on technological innovation, organization and work. Although technological innovation remained a debated topic in the academic literature during the past years, its implications for organizational processes seem still not sufficiently theorized and empirically investigated. By using two complementary journals’ rankings a search in the ISI Web of Science platform from 1985 through 2013 was performed. To analyze the 998 scientific retrieved contributions a bibliometric analysis has been conducted, adopting also Social Network Analysis tools. Our results reveal a significant growth of the technological innovation literature over the investigated period, the multidisciplinarity of the field and, particularly, the relevance of management and business & economics contributions. Overall, this study offers a broad overview of the literature on technological innovation and emphasizes the opportunity to investigate the role of technological innovation within the organizational life.Monograph's chapter

    The Relationship of Individual Capabilities and Environmental Support with Different Facets of Designers’ Innovative Behavior

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    Theoretical perspectives on employee creativity have tended to focus on an individual's capability to generate original and potentially useful ideas, whereas definitions of innovation also include the process of putting those new ideas into practice. This field study therefore set out to test how theoretically distinct types of individual knowledge and skills are related to different aspects of employees' innovative behavior in terms of both their new idea generation and idea implementation. Using a sample of design engineers (n = 169) in a multinational engineering company, measures were taken of different aspects of innovative work behavior (patent submission, real-time idea submission, idea implementation) and a range of individual capabilities (creativity-relevant skills, job expertise, operational skills, contextual knowledge, and motivation) and environmental features (job control, departmental support for innovation). Analyses showed that creativity-relevant skills were positively related to indices of idea generation but not to idea implementation. Instead, employees' job expertise, operational skills, and motivation to innovate demonstrated a stronger role in idea implementation. In terms of environmental factors, job control showed no positive relationship with innovative work behavior while departmental support for innovation was related to employees' idea generation but not idea implementation. The theoretical perspective that correlates of idea generation differ in certain aspects to those for idea implementation are confirmed by the study. Practical implications for organizations wishing to improve their innovativeness are discussed in terms of tailored training, development, motivational, and environmental interventions designed to improve the capabilities of individuals to engage in all parts of the innovation process

    Complementarities between IT and Organizational Structure: The Role of Corporate Exploration and Exploitation

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    The decentralization of organizational decision authority has been shown to be complementary to Information Technology (IT) in prior research. We draw from the information processing view of organizations, the IT and de/centralization debate, and organizational learning theory to argue that IT payoffs can also be improved by greater centralization of decision authority, contingent on a firm’s corporate learning type. We argue that an exploratory learning type is best pursued with a decentralized organization design, while an exploitative learning type requires a centralized organization design. We hypothesize that under corporate exploration, IT payoffs are enhanced through greater decentralization, whereas under corporate exploitation, returns to IT are improved by greater centralization. Our study uses a novel multi‐source panel on the IT capital, the degree of de/centralization, and the performance of almost 260 German manufacturing firms. We estimate production functions to assess the contribution of combning IT with de/centralization to firmlevel productivity under different corporate learning types. Our results strongly support our hypotheses and hold up to a variety of robustness tests
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