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Titlebook: Marketing and Smart Technologies; Proceedings of ICMar José Luís Reis,Marc K. Peter,Zorica Bogdanovi? Conference proceedings 2023 The Edito

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書目名稱Marketing and Smart Technologies
副標(biāo)題Proceedings of ICMar
編輯José Luís Reis,Marc K. Peter,Zorica Bogdanovi?
視頻videohttp://file.papertrans.cn/625/624398/624398.mp4
概述Discusses smart technologies for effective solutions in business and marketing.Presents the outcomes of the ICMarkTech 2022 conference, held during December 1–3, 2022.Serves as a reference resource fo
叢書名稱Smart Innovation, Systems and Technologies
圖書封面Titlebook: Marketing and Smart Technologies; Proceedings of ICMar José Luís Reis,Marc K. Peter,Zorica Bogdanovi? Conference proceedings 2023 The Edito
描述This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2022), held at Universidade de Santiago de Compostela, Spain, during December 1–3, 2022. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
出版日期Conference proceedings 2023
關(guān)鍵詞Artificial Intelligence; e-commerce; Business Intelligence; Virtual and Augmented Reality; Marketing Aut
版次1
doihttps://doi.org/10.1007/978-981-19-9099-1
isbn_softcover978-981-19-9101-1
isbn_ebook978-981-19-9099-1Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Smart Innovation, Systems and Technologieshttp://image.papertrans.cn/m/image/624398.jpg
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978-981-19-9101-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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2190-3018 ing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.978-981-19-9101-1978-981-19-9099-1Series ISSN 2190-3018 Series E-ISSN 2190-3026
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Comparison of Semi-structured Data on MSSQL and PostgreSQLcess, which delays the loading process. Moreover, we did additional indexation tests, from which we concluded that in general, data loading performance degrades. Regarding query performance in PostgreSQL, we conclude that with indexation, queries become three or four percent faster and six times fas
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CRM and Smart Technologies in the Hospitality such as China, South Korea, and Malaysia or one case study such as a hotel in Switzerland. This research finds that the previous results might not be generalizable to all consumers or hotels around the world. Hence, it is important to fill the gap in the literature by examining cross-cultural studi
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A Systematic Approach to Segmentation Analysis Using Machine Learning for Donation-Based Crowdfundinine behavior using observed and unobserved customer heterogeneity when extant segmentation strategies typically apply RFM metric in combination with demographic and socio-economic attributes to infer and predict customer behavior. The resulting donor clusters inform marketing decision-making in the
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