Mostrando recursos 1 - 8 de 8

  1. Rezension: Julia Ahrens (2009). Going Online, Doing Gender. Alltagspraktiken rund um das Inernet in Deutschland und Australien.

    Jost, Gerhard
    Das Internet kann auf vielfältige Weise in den (häuslichen) Alltag integriert werden - die vorliegende, durchaus interessante Studie analysiert hauptsächlich auf der Basis von problemzentrierten Interviews und einer qualitativen Inhaltsanalyse (nach MAYRING) die (aktiven) Aneignungsmodi und die Integration dieses Mediums in den Alltag. Im Mittelpunkt der Studie stehen die Effekte der Nutzungs- und Kommunikationsformen des Internets, aufgegliedert in zeitliche, räumliche, inhaltliche und soziale Dimensionen. Im Besonderen werden die Wirkungen der Internetnutzung in Bezug auf Beziehungsstrukturen zwischen (Lebens-) Partner/innen und Geschlechterverhältnisse fokussiert. Dabei wird der Frage nachgegangen, inwieweit Ungleichheitsstrukturen auch im Bereich des going online reproduziert werden. Durch die Auswahl von jeweils zwölf Paaren in Deutschland und Australien werden...

  2. The political risk of international sanctions and multinational firm value: an empirical analysis using the event-study methodology

    Gadringer, Mark-P.
    This thesis emphasizes the role of political risk in international business by analyzing the impact of political events on the valuation of firms. The guiding question is how governments interfere with the business interests of firms located in their own country as well as with the business interests of firms from other nations, as a consequence of the application of international sanctions. Therefore, the focus is on multi-country and multi-sector effects due to the occurrence of specific sanction events. The empirical methodology is the event-study approach, which analyzes stock market reactions to new information. The research objective is to detect abnormal stock returns across multiple markets and sectors, as...

  3. Building a Data Mining Framework for Target Marketing

    March, Nicolas
    Most retailers and scientists agree that supporting the buying decisions of individual customers or groups of customers with specific product recommendations holds great promise. Target-oriented promotional campaigns are more profitable in comparison to uniform methods of sale promotion such as discount pricing campaigns. This seems to be particulary true if the promoted products are well matched to the preferences of the customers or customer groups. But how can retailers identify customer groups and determine which products to offer them? To answer this question, this dissertation describes an algorithmic procedure which identifies customer groups with similar preferences for specific product combinations...

  4. Human Resource Management in Russia: Some Unwritten Rules

    Denisova-Schmidt, Elena
    In spite of the fact that Western companies have been actively developing the Russian market over the last twenty years, they are still faced with the Soviet-era heritage in human resource management. This paper gives an overview of the common Soviet human resource practices of the past. Understanding traditional human resource practices in the Soviet Union prior to the end of communism will help practitioners to design human resource management systems for Russia more efficiently today. Moreover, this article makes recommendations for HR professionals on some unwritten rules of human resource management, summarizes current best practices for the recruitment, selection and retention of employees and helps to reduce potential...

  5. A Copula Approach to Generate Non-Normal Multivariate Data for SEM

    Mair, Patrick; Satorra, Albert; Bentler, Peter M.
    The present paper develops a procedure based on multivariate copulas for simulating multivariate non-normal data that satisfies a pre-specified covariance matrix. The covariance matrix used, can comply with a specific moment structure form (e.g., a factor analysis or a general SEM model). So the method is particularly useful for Monte Carlo evaluation of SEM models in the context of non-normal data. The new procedure for non-normal data simulation is theoretically described and also implemented on the widely used R environment. The quality of the method is assessed by performing Monte Carlo simulations. Within this context a one-sample test on the observed VC-matrix is involved....

  6. Implementation of the Hogan, Rosellón, and Vogelsang (HRV) incentive mechanism into the InTraGas model

    Bauer, Francisca; Bremberger, Christoph; Kunz, Friedrich
    The European natural gas market is characterised by higher demand than available supply from own resources. Therefore Europe is a gas net-importing region. The costs of potential problems or disruptions establish the need for an environment which stimulates sufficient investments in transmission line capacities. We examine the effects of the introduction of the recently developed Hogan, Rosellón and Vogelsang (HRV) incentive mechanism into the European natural gas market. In the simulations with GAMS we can confirm all results expected from theory. The validity of these simulation results is confirmed in a structural analysis, which comprised the variation of different exogenous input parameters. Therefore we conclude that the...

  7. Analysis of Heuristic Validity, Efficiency and Applicability of the Profile Distance Method for Implementation in Decision Support Systems

    Bernroider, Edward; Obwegeser, Nikolaus; Stix, Volker
    This article seeks to enhance acceptance of the profile distance method (PDM) in decision support systems. The PDM is a multiple attributive based decision making as well as a multiple method approach to support complex decision making and uses a heuristic to avoid computationally complex global optimization. We elaborate on the usability of the method and question the heuristic used. We present a bisection algorithm, which efficiently supports the discovery of transition profiles needed in a user-friendly and practical application of the method. Additionally, we provide empirical evidence showing that the proposed heuristic is efficient and delivers results within 5% of the global optimizer for a wide...

  8. Analysis of Heuristic Validity, Efficiency and Applicability of the Profile Distance Method for Implementation in Decision Support Systems

    Bernroider, Edward; Obwegeser, Nikolaus; Stix, Volker
    This article seeks to enhance acceptance of the profile distance method (PDM) in decision support systems. The PDM is a multiple attributive based decision making as well as a multiple method approach to support complex decision making and uses a heuristic to avoid computationally complex global optimization. We elaborate on the usability of the method and question the heuristic used. We present a bisection algorithm, which efficiently supports the discovery of transition profiles needed in a user-friendly and practical application of the method. Additionally, we provide empirical evidence showing that the proposed heuristic is efficient and delivers results within 5% of the global optimizer for a wide...

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