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Titlebook: Individual Goal Hierarchies as Antecedents of Market Structures; Marcel Paulssen Book 2000 Springer Fachmedien Wiesbaden 2000 Business.Cha

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發(fā)表于 2025-3-21 17:01:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Individual Goal Hierarchies as Antecedents of Market Structures
編輯Marcel Paulssen
視頻videohttp://file.papertrans.cn/464/463716/463716.mp4
叢書名稱Gabler Edition Wissenschaft
圖書封面Titlebook: Individual Goal Hierarchies as Antecedents of Market Structures;  Marcel Paulssen Book 2000 Springer Fachmedien Wiesbaden 2000 Business.Cha
描述The consideration set is defined as the set of alternatives which a consumer considers in a purchase decision. As brand consideration is a precondition for choice the understanding of what determines brand consideration is important both from an academic and a practical perspective. ..Based on the notion that consumers are self-regulating, volitional decision makers and capable of regulating their behavior according to their goals, Marcel Paulssen develops a self-regulatory model of consideration set formation. The model - tested and confirmed with two data sets in the product category cars - presents an answer to the question why consumers consider certain brands and analyzes the motivational structure that determines brand consideration..
出版日期Book 2000
關(guān)鍵詞Business; Change; Marketing; Marktforschung; Mode; Modellierung; Service; Supervision
版次1
doihttps://doi.org/10.1007/978-3-322-97813-4
isbn_softcover978-3-8244-7222-2
isbn_ebook978-3-322-97813-4
copyrightSpringer Fachmedien Wiesbaden 2000
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Marcel Paulssented news or various home-made treatments to cure the disease. To contrast this phenomenon, the fact-checking community has intensified its efforts by producing a large number of fact-checking reports. In this work, we focus on empowering knowledge-based approaches for misinformation identification w
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Marcel Paulssenstill has many problematic areas and has many aspects that need improvement. On the other hand, data provenance is a concept that covers the origin of the data, the changes made, and the processes it has gone through. Data provenance is an essential option for improvements in the IoT field. Although
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Marcel Paulssensearch works have been previously being done on SDP but the performance of these methods varied from several datasets, hence, making them inconsistent for SDP in the unknown software project. But the hybrid technique using feature selection enabled with machine learning for SDP can be very efficient
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Marcel Paulssens, ICCSA 2022, which was held in Malaga, Spain during July 4 – 7, 2022. ..The first two volumes contain the proceedings from ICCSA 2022, which are the 57 full and 24 short papers presented in these books were carefully reviewed and selected from 279 submissions...The other six volumes present the wo
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