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Titlebook: Creating Marketing Magic and Innovative Future Marketing Trends; Proceedings of the 2 Maximilian Stieler Conference proceedings 2017 The Ed

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樓主: introspective
11#
發(fā)表于 2025-3-23 12:09:51 | 只看該作者
New Hidden Persuaders: An Investigation of Anchoring Effects of Recommender Systems on Consumer Choiast behavior or preference statements, recommender systems implemented on marketers’ webpages generate personalized predictions about the products, countries, or people we presumably like and preselect a small subset comprising only potentially relevant choice options from the large number of availa
12#
發(fā)表于 2025-3-23 16:31:51 | 只看該作者
13#
發(fā)表于 2025-3-23 18:18:35 | 只看該作者
14#
發(fā)表于 2025-3-23 23:49:47 | 只看該作者
15#
發(fā)表于 2025-3-24 02:27:04 | 只看該作者
Introduction to Lung Ultrasoundtial contributors from the client’s perspective, that is, those who use these services. Thus, the purpose of this study is to understand how clients view the services they receive from a non-profit and to explore the implications of these views for developing effective social marketing and public po
16#
發(fā)表于 2025-3-24 07:09:38 | 只看該作者
úrsula Oswald Spring,Ignacio Sánchez Cohenrends. First, we demonstrate that point-of-purchase donation programs have a grossly negative impact on retailers. We specifically demonstrate that shoppers asked to donate to charities during checkout exhibit significantly lower satisfaction levels than those not asked to donate. Given what the fie
17#
發(fā)表于 2025-3-24 11:06:21 | 只看該作者
úrsula Oswald Spring,Ignacio Sánchez Cohende to donate money to charity, the donation amount is higher when service quality is . than when it is excellent or average. This suggests that customers engage in mental accounting when deciding on the amounts to donate to charity and provide to servers via gratuity. These findings have implication
18#
發(fā)表于 2025-3-24 16:08:52 | 只看該作者
19#
發(fā)表于 2025-3-24 20:31:09 | 只看該作者
20#
發(fā)表于 2025-3-24 23:43:06 | 只看該作者
Olga Blokhina,Kurt V. Fagerstedtpically based on the assumption that a recommender system’s effectiveness depends on its ability to identify consumers’ preferences and, therefore, is measurable by the number of individuals who follow the generated suggestions, the present study, in contrast, focuses on the impact of recommendation
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