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標題: Titlebook: Brand Communities for Fast Moving Consumer Goods; An Empirical Study o Sandra Meister Book 2012 Gabler Verlag | Springer Fachmedien Wiesbad [打印本頁]

作者: deteriorate    時間: 2025-3-21 18:07
書目名稱Brand Communities for Fast Moving Consumer Goods影響因子(影響力)




書目名稱Brand Communities for Fast Moving Consumer Goods影響因子(影響力)學科排名




書目名稱Brand Communities for Fast Moving Consumer Goods網(wǎng)絡公開度




書目名稱Brand Communities for Fast Moving Consumer Goods網(wǎng)絡公開度學科排名




書目名稱Brand Communities for Fast Moving Consumer Goods被引頻次




書目名稱Brand Communities for Fast Moving Consumer Goods被引頻次學科排名




書目名稱Brand Communities for Fast Moving Consumer Goods年度引用




書目名稱Brand Communities for Fast Moving Consumer Goods年度引用學科排名




書目名稱Brand Communities for Fast Moving Consumer Goods讀者反饋




書目名稱Brand Communities for Fast Moving Consumer Goods讀者反饋學科排名





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Book 2012ignificant differences between members and those consumers who are simply visiting the brand-community site? And do the members show a higher level? of customer retention as those non-member? In her study Sandra Meister derives a set of behavioral attributes relevant for brand-community members. By
作者: 條街道往前推    時間: 2025-3-22 12:53
Magnetotaxis and Alignment Behaviorses and techniques to communicate successfully with their target groups and to promote their brands. Therefore, interactivity between brands and consumers becomes ever more common in marketing. The internet and internet-based communities play an important role in this context.
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From Data to Images: Reconstruction,s on the performance measures ?brand patronage,“ as well as ?price tolerance.“ The appropriateness of brand communities to attain marketing objectives with performance impact, such as purchase intention, recommendation intention and tolerance of price increase, is examined.
作者: Arthr-    時間: 2025-3-23 08:17
Conclusion,s on the performance measures ?brand patronage,“ as well as ?price tolerance.“ The appropriateness of brand communities to attain marketing objectives with performance impact, such as purchase intention, recommendation intention and tolerance of price increase, is examined.
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https://doi.org/10.1007/978-3-8349-4055-1Brand Community; Consumer Behavior; Fast moving consumer goods; Social Media
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Anisotropy and Magnetoelastic Properties,The aim of this chapter is to develop a research model that allows investigating the impact of selected behavioral attributes on the customer retention of brand-community members.
作者: STEER    時間: 2025-3-24 21:58
https://doi.org/10.1007/978-1-4419-0054-8This chapter describes the empirical study on the behavioral attributes of brand-community members and their economical impact for the brand.
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Framework of the Study,The aim of this chapter is to develop a research model that allows investigating the impact of selected behavioral attributes on the customer retention of brand-community members.
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Challenges and Opportunities in Achieving Food Security in Northeast India,man civilization. The exponential growth of the human population leads to the overexploitation of resources and has emerged as a hindrance to food security. India has overtaken China and become the most populated country in the world with 1.42 billion people, and the population growth rate of Northe
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Meaningful Learning Experience Using Digital Technologies in TVET: Towards Innovative Digital Pedagogy,hoods of individuals and contribute to the economy and broader society. TVET responses to the changing requirements of work and social context, however, face multidimensional challenges, with varying student learning needs and higher levels of cognitive demand prominent among them. Central to these
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Book 2019hoice for the majority of high speed ferry operators worldwide. There have been significant advances in structural materials, and structural design has been combined with higher power density and fuel efficient engines to deliver ferries of increasing size. The multihull has proven itself to be a su
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Sameer Lakha,Michael G. Fitzsimonsed in an expected service quality, to guide future resource allocations. We evaluate data for a service system with 40 human workers for a period of 8?months. We build a learning model using Support Vector Machine (SVM), that predicts the quality of service for specific allocation of tasks to worker
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