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Titlebook: Innovative Research Methodologies in Management; Volume I: Philosophy Luiz Moutinho,Mladen Sokele Book 2018 The Editor(s) (if applicable) a

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發(fā)表于 2025-3-21 18:47:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Innovative Research Methodologies in Management
副標(biāo)題Volume I: Philosophy
編輯Luiz Moutinho,Mladen Sokele
視頻videohttp://file.papertrans.cn/468/467466/467466.mp4
概述Responds to the increasing challenge of conducting research in online environments with new technologies.Includes cutting-edge methodologies including virtual reality simulation, neurophilosophy, inte
圖書封面Titlebook: Innovative Research Methodologies in Management; Volume I: Philosophy Luiz Moutinho,Mladen Sokele Book 2018 The Editor(s) (if applicable) a
描述.A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies.,?.Innovative Research Methodologies in Management. presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allow.ing the exploration of future research perspectives. Volume I covers a range of research methodologies within the realms of philosophy, measurement and modelling, and focusses on meta-modern mixed methods such as neurophilosophy, diagnostic measurement, and emotivity and ephemera research..
出版日期Book 2018
關(guān)鍵詞research methodology; robustness; statistical modelling; biometrics; digital research; computer modelling
版次1
doihttps://doi.org/10.1007/978-3-319-64394-6
isbn_softcover978-3-319-87782-2
isbn_ebook978-3-319-64394-6
copyrightThe Editor(s) (if applicable) and The Author(s) 2018
The information of publication is updating

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Abductive Thematic Network Analysis (ATNA) Using ATLAS-ti,sing a qualitative data set, this chapter demonstrates the steps in undertaking ATNA with a computer-aided qualitative data analysis software—ATLAS-ti v.7.5. The chapter concludes that ATNA provides to researchers a much-needed pragmatic and logical way of reasoning, organising, and presenting qualitative data analysis.
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s within the realms of philosophy, measurement and modelling, and focusses on meta-modern mixed methods such as neurophilosophy, diagnostic measurement, and emotivity and ephemera research..978-3-319-87782-2978-3-319-64394-6
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Hosting a Successful Metamodern Party: Mixed Methods Management Research on the Web 2.0+,plying research promotion strategies. It demonstrates that online research increases rather than sacrifices data quality and argues for the necessity of combined on and offline mixed methods management research enriched with state-of-the-art technology developed by businesses. Moreover, it offers in
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Incremental Optimization Mechanism for Constructing a Balanced Very Fast Decision Tree for Big Data between accuracy and tree size for data stream mining. OVFDT operates incrementally by a test-then-train approach. Two new methods of functional tree leaves are proposed to improve the accuracy with which the tree model makes a prediction for a new data stream in the testing phase. The optimized no
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Bass Model with Explanatory Parameters,available. In cases of product/service adoption forecasting prior to its launch, all model parameters can be assumed by means of analogy with the existing products/services due to their explanatory features.
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