نتایج جستجو برای: cross buying by customers regardingincreased competition
تعداد نتایج: 7336591 فیلتر نتایج به سال:
Excerpt] We know that hospitality customers usually make purchases by simultaneously evaluating several criteria. A typical buying decision might take into account service quality, delivery speed, price, and any special buying incentives, for instance. It is imperative that businesses take into account customer preferences and choices when making decisions regarding product and service attribut...
Our team has won the Grand Champion (Tie) of PAKDD-2007 data mining competition. The data mining task is to score credit card customers of a consumer finance company according to the likelihood that customers take up the home loans offered by the company. This report presents our solution for this business problem. TreeNet and logistic regression are the data mining algorithms used in this proj...
This paper presents a multi-period optimization model for high margin and zero salvage products in online distribution channels with classifying customers based on number of products required. Taking hotel customers as an example, one is regular customers who reserve rooms for one day, and the other is long term stay (LTS) customers who reserve rooms for a number of days. LTS may guarantee a sp...
regarding the highly intensive competition in the market, nowadays using customer-oriented strategies is necessary for retention and attraction of the costumers. nevertheless, using those kinds of strategies depends on understanding customer behavior patterns and classification of customers in accordance with those patterns. the current study aims to determine the strategies for dealing with ne...
The intensive competition in e-Commerce causes effective methods for customer attraction of special importance. In this regard, the recommender systems in commercial websites can precisely determine customers' interests and needs, and offer them most suitable products and services. In this paper, a new model for recommender systems is proposed which segments the market and customers more effi...
This study examines the digital transformation effects of artificial intelligence (AI)-based facial and music biometrics on customers’ cognitive emotional states, how these influence their behavioral responses in terms value creation. Using a real-life, major optical retail store China, 386 customers participated five-day experiment with different types (enhanced by music-recognition biometrics...
We study vote buying by competing interest groups in a variety of electoral and contractual settings. While increasing the size of a voting body reduces its buyability in the absence of competition, we show that larger voting bodies may be more buyable than smaller voting bodies when interest groups compete. In contrast, imposing the secret ballot is an effective way to fight vote buying in the...
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