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Titlebook: Highly Effective Behavior of Financial Consultants; Elfi Ettinger Book 2009 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden

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發(fā)表于 2025-3-21 17:08:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Highly Effective Behavior of Financial Consultants
編輯Elfi Ettinger
視頻videohttp://file.papertrans.cn/428/427033/427033.mp4
圖書封面Titlebook: Highly Effective Behavior of Financial Consultants;  Elfi Ettinger Book 2009 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden
描述The topic of commitment has a long tradition in the organizational behavior literature. For some 40 years now, the concept has been studied and quantitative empirical research has shown that commitment can be differentiated into several forms such as affective, normative, or continuance commitment. That is, some employees are committed to their organization because they want to be (affective), because they need to be because of low alternatives (continuance) or because they feel they ought to be (normative). Evidence clearly supports the assumption that affective comm- ment is positively related to a range of organizationally relevant variables such as performance, satisfaction, well-being etc. Normative commitment is also associated with these variables, i. e. is “good” for both organization and employee, but to a lesser extent. Continuance commitment, however, has been found to be largely unrelated to these variables; the only reliable association holds for turnover intentions. Other important research in the last decade or so has looked into the differentiation of foci or targets of commitment. The most prominent foci that have been identified are the organization as a whole, an
出版日期Book 2009
關(guān)鍵詞Beratung; Commitment; Consulting; Performance; Unternehmenserfolg; empirical research; organization; organi
版次1
doihttps://doi.org/10.1007/978-3-8349-9989-4
isbn_softcover978-3-8349-1272-5
isbn_ebook978-3-8349-9989-4
copyrightGabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2009
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ID data frequently participate in or leave the federated learning training process asynchronously, resulting in dynamic federated learning (DFL) scenario, which attracts more and more attention. Indeed, an effective DFL solution has to address the following two challenges: 1) Statistical Dynamics. T
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y of mathematics, the development of systems of formal logic in general, and of one such system in particular — the predicate calculus — revolutionized the study of inference. With its combination of expressive power and mathematical simplicity, the predicate calculus was unquestionably superior to
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that SWS can be divided into two types based on the characteristics of scleral blood vessels. Therefore, how to accurately segment scleral blood vessels has become a significant problem in computer-aided diagnosis. In this research, we propose to continuously upsample the bottom layer’s feature map
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islead human users not to trust a reliable network. Therefore, it is necessary to verify interpretation algorithms by designing effective attacks to simulate various possible threats in the real world. In this work, we mainly explore how to mislead interpretation. More specifically, we optimize the
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