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Titlebook: Digital and Social Media Marketing; Emerging Application Nripendra P. Rana,Emma L. Slade,Yogesh K. Dwivedi Book 2020 Springer Nature Switze

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書(shū)目名稱(chēng)Digital and Social Media Marketing
副標(biāo)題Emerging Application
編輯Nripendra P. Rana,Emma L. Slade,Yogesh K. Dwivedi
視頻videohttp://file.papertrans.cn/280/279909/279909.mp4
概述Focuses on issues and implications of digital and social media marketing for emerging markets.Highlights developing applications, theories and models being used in digital and social marketing.Examine
叢書(shū)名稱(chēng)Advances in Theory and Practice of Emerging Markets
圖書(shū)封面Titlebook: Digital and Social Media Marketing; Emerging Application Nripendra P. Rana,Emma L. Slade,Yogesh K. Dwivedi Book 2020 Springer Nature Switze
描述This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and res
出版日期Book 2020
關(guān)鍵詞Digital Marketing; Digital Advertising; Social Media; Social Media Marketing; Information and Communicat
版次1
doihttps://doi.org/10.1007/978-3-030-24374-6
isbn_softcover978-3-030-24376-0
isbn_ebook978-3-030-24374-6Series ISSN 2522-5006 Series E-ISSN 2522-5014
issn_series 2522-5006
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書(shū)目名稱(chēng)Digital and Social Media Marketing影響因子(影響力)




書(shū)目名稱(chēng)Digital and Social Media Marketing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Digital and Social Media Marketing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Digital and Social Media Marketing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Digital and Social Media Marketing被引頻次




書(shū)目名稱(chēng)Digital and Social Media Marketing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Digital and Social Media Marketing年度引用




書(shū)目名稱(chēng)Digital and Social Media Marketing年度引用學(xué)科排名




書(shū)目名稱(chēng)Digital and Social Media Marketing讀者反饋




書(shū)目名稱(chēng)Digital and Social Media Marketing讀者反饋學(xué)科排名




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Ulrike Gelbmann,Christian Pirkerreviews, recommendations and referrals, and forums and communities) impact social trust, which in turn affects customer value co-creation dimensions (functional value, hedonic value, and social value) in social network sites (SNSs). Theoretical and practical implications are provided.
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Shaping an Inclusive Energy Transitionwe are focusing on understanding what stops customers at collectivist cultures from using such services. We are focusing on materialism as a potential value that might hinder customer’s willingness to adopt CC.
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https://doi.org/10.1007/978-3-031-20518-7ics making up a more significant part of big data use in sales and marketing and GDPR ensures data are legitimately collected and processed, there are practical implications for Managers as well. Acknowledging that this is a conceptual model, the critical challenges are presented. This is open for f
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Persona Classification of Celebrity Twitter Usersn into six predefined categories and (2) Generating a category if the tweet does not belong to any defined category. The first kind of classification has been done in three different ways; by individually applying Na?ve Bayes, Decision Tree, and Support Vector Machine. For generating a new category,
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