نتایج جستجو برای: cross buying by customers regardingincreased competition

تعداد نتایج: 7336591  

2015
Rohit Verma Gerhard Plaschka Jordan J. Louviere JORDAN J. LOUVIERE

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...

2008
Mingjun Wei Lei Chai Renying Wei Wang Huo

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...

2015
Ming Xu Yan Jiao Xiaoming Li Qingfeng Cao Xiaoyang Wang Yongtang Shi

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...

Journal: :مدیریت بازرگانی 0
عفت محمدی کارشناس ارشد mba، مهندسی صنایع و مدیریت، دانشگاه شاهرود، شاهرود، ایران رضا شیخ استادیار گروه مدیریت، دانشکدة مهندسی صنایع و مدیریت، دانشگاه شاهرود، شاهرود، ایران

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...

Keramati , Abbas , Khatibi , Vahid , Mosayebian , Shahab ,

  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...

Journal: :Turkish Journal of Computer and Mathematics Education (TURCOMAT) 2021

Journal: :Journal of Business Research 2021

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...

2011
John Morgan Felix Várdy

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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