59,686 research outputs found

    INFORMATION TECHNOLOGY AND THE VERTICAL ORGANIZATION OF INDUSTRY

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    A model has been developed to study the interdependence between the choice of information technology and industry structure. Advances in information technology might provide incentives for a firm to specialize or focus on its core competence. However, the degree of specialization depends on the extent of industry-level specialization, which is, in turn, the result of the behavior of individual firms and their adoption of information technology favoring specialization. Emerging electronic markets and industries have been chosen as an application domain, as they would not exist without information technology.

    Late Innovation Strategies in Asian Electronics Industries: A Conceptual Framework and Illustrative Evidence

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    This paper was published in Oxford Development Studies special issue in honor of the late Professor Linsu Kim. The paper reviews evidence on the evolution of electronics design in Asia's leading electronics exporting countries, to establish what capabilities have been developed, and to shed light on the forces that are driving "late innovation" strategies. It also reviews intellectual sources that can be used to theoretically ground these hypotheses. Using a well-known taxonomy of innovation that distinguishes incremental, modular, architectural and radical innovations, and the concept of "disruptive technologies", I argue that Asian firms may have realistic chances to engage in incremental innovations as well as in architectural innovations. However, to sustain "late innovation" strategies over a longer period, "complex system integration" capabilities are necessary to provide the missing link.

    E-BUSINESS AND GLOBAL SOURCING – INFERENCES FROM SECURITIES EXCHANGES

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    This paper sets out a conceptual model that describes how the configuration of relevant geographic markets might change as electronic “gateways” or portals challenge conventional markets. It then considers the main conceptual inferences against the experience of securities markets. Consideration of empirical evidence suggests that e-business will lead to expanded geographic markets, although the pace and extent of the expansion might be slower and less dramatic, even in the long- run, than early enthusiasts of e-business may have anticipated.geographic markets, securities markets, e-business

    The business model: Theoretical roots, recent developments, and future research

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    The paper provides a broad and multifaceted review of the received literature on business models, in which we attempt to explore the origin of the construct and to examine the business model concept through multiple disciplinary and subject-matter lenses. The review reveals that scholars do not agree on what a business model is, and that the literature is developing largely in silos, according to the phenomena of interest to the respective researchers. However, we also found some emerging common ground among students of business models. Specifically, i) the business model is emerging as a new unit of analysis; ii) business models emphasize a system-level, holistic approach towards explaining how firms do business; iii) organizational activities play an important role in the various conceptualizations of business models that have been proposed, and iv) business models seek not only to explain the ways in which value is captured but also how it is created. These emerging themes could serve as important catalysts towards a more unified study of business models.Business model; strategy; technology management; innovation; literature review;

    The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis

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    Today, the Big Data term has a multidimensional approach where five main characteristics stand out: volume, velocity, veracity, value and variety. It has changed from being an emerging theme to a growing research area. In this respect, this study analyses the literature on Big Data in the Economics, Econometrics and Finance field. To do that, 1.034 publications from 2015 to 2019 were evaluated using SciMAT as a bibliometric and network analysis software. SciMAT offers a complete approach of the field and evaluates the most cited and productive authors, countries and subject areas related to Big Data. Lastly, a science map is performed to understand the intellectual structure and the main research lines (themes)

    A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)

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    In the 1990s, Agent-Based Modeling (ABM) began gaining popularity and represents a departure from the more classical simulation approaches. This departure, its recent development and its increasing application by non-traditional simulation disciplines indicates the need to continuously assess the current state of ABM and identify opportunities for improvement. To begin to satisfy this need, we surveyed and collected data from 279 articles from 92 unique publication outlets in which the authors had constructed and analyzed an agent-based model. From this large data set we establish the current practice of ABM in terms of year of publication, field of study, simulation software used, purpose of the simulation, acceptable validation criteria, validation techniques and complete description of the simulation. Based on the current practice we discuss six improvements needed to advance ABM as an analysis tool. These improvements include the development of ABM specific tools that are independent of software, the development of ABM as an independent discipline with a common language that extends across domains, the establishment of expectations for ABM that match their intended purposes, the requirement of complete descriptions of the simulation so others can independently replicate the results, the requirement that all models be completely validated and the development and application of statistical and non-statistical validation techniques specifically for ABM.Agent-Based Modeling, Survey, Current Practices, Simulation Validation, Simulation Purpose

    Some Relevant Econophysics’ Moments of History, Definitions, Methods, Models and New Trends

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    New models result from a new way of thinking or from the trans-disciplinary methods used in new domains. Econophysics improve the quality of the classical research of Economics through its original models and methods. As a new or very young science Econophysics means either a new domain for physicists or new methods and ways of thinking for economists in the modern world. Physicists have recently established careers in the banking, financial, life insurance and marketing more easily than we could imagine only because their appetite for data and new laws of economic realities. After a brief historical background of the last three decades, a new section is defining what Econophysics is, and others underline significant methods, models, results, and trends. A final remark is inspired by the needs of globalize economies.Econophysics, Statistical Physics, Econophysics model, Quantum Statistics, power law, diffusion.

    The transformative capacity of new technologies. How innovations affect sectoral change: Conceptual considerations

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    Following up on recent debates about sectoral systems of innovation and production, the paper introduces a heuristic framework for analyzing and explaining distinct patterns of technology-based sectoral change. The concept is based on two interrelated influencing factors. The first is the sectoral-specific transformative capacity of new technologies themselves, that is, their substantial or incremental impact on socioeconomic and institutional change in a given sectoral system. The second is the sectoral adaptability of socioeconomic structures, institutions, and actors confronted with the opportunities presented by new technologies. The first factor the sectoral transformative capacity of new technologies enables us to identify the technology-driven pressure to change and adjust the structural and institutional architectures of the sectoral system. The second, complementary factor sectoral adaptability helps us to discern the distinct social patterns of anticipating and absorbing this technology-based pressure. The specific interplay between the two influencing factors creates distinguishable modes of sectoral transformation, ranging from anticipative and smooth adjustments to reactive and crisis-ridden patterns of change. Even processes of radical sectoral change continue over longer periods of mismatch, characterized by a cumulation of numerous and mostly gradual organizational, structural, and institutional transformations. --
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