نتایج جستجو برای: quickly classify the customers

تعداد نتایج: 16055844  

Journal: :مدیریت ورزشی 0
سارا کشکر . استادیار دانشگاه علامه طباطبایی حمید قاسمی استادیار دانشگاه پیام نور تهران رضا صادقی دانشجوی کارشناسی ارشد دانشگاه علامه طباطبایی

the aim of this study was to assess the proportionality of sport books to beneficiaries' expectations and the role of marketing mix elements in marketing of these books. this research was a descriptive and field survey. three researcher-made questionnaires with confirmed validity and reliability were used to collect the data. the research hypotheses were examined by independent t test. the...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1389

abstract: about 60% of total premium of insurance industry is pertained?to life policies in the world; while the life insurance total premium in iran is less than 6% of total premium in insurance industry in 2008 (sigma, no 3/2009). among the reasons that discourage the life insurance industry is the problem of adverse selection. adverse selection theory describes a situation where the inf...

Journal: :مدیریت اطلاعات سلامت 0
آرش شاهین استادیار، مدیریت، دانشگاه اصفهان، اصفهان، ایران محمود احمدی آذر دانشجوی کارشناسی ارشد، مدیریت صنعتی، دانشگاه اصفهان، اصفهان، ایران

introduction: nowadays, organizations perform segmentation of their customers in order to maximize profits and minimize costs. however, in addition to segmentation, an optimal combination of the customers, i.e. the number of the customers or their percentage, is required to be specified in order to invest on development of products and services. in this study, by maximizing the customers’ satis...

Journal: :Expert Syst. Appl. 2012
Maria Francesca Faraone Michele Gorgoglione Cosimo Palmisano Umberto Panniello

In e-commerce, where competition is tough and customers’ preferences can change quickly, it is crucial for companies to segment customers and target marketing actions effectively. The process of segmentation and targeting is effective if the customers grouped into the same segment show the same behavior and reaction to marketing campaigns. However, the link between segmentation and targeting is...

1999
Ward Whitt

We explore the issue of when and how to partition arriving customers into service groups that will be served separately, in a first-come first-served manner, by multi-server service systems having a provision for waiting, and how to assign an appropriate number of servers to each group. We assume that customers can be classified upon arrival, so that different service groups can have different ...

1998
Seungjae Shin Gilju Park Wonjun Lee Sunmi Lee

SIMS (Strategic Information Management System) is a large scale DSS for telecommunications industry. Its goal is developing pricing strategy. SIMS is developed based upon the huge volume of CDR (Call Data Record). Its two main functions are CBA (Call Behavior Analysis) and DB simulation. Once decision-makers fully analyze the call behavior pattern, they can make any assumption for their pricing...

Journal: :Marketing Science 2010
Ralf van der Lans Gerrit H. van Bruggen Jehoshua Eliashberg Berend Wierenga

I a viral marketing campaign, an organization develops a marketing message and encourages customers to forward this message to their contacts. Despite its increasing popularity, there are no models yet that help marketers to predict how many customers a viral marketing campaign will reach and how marketers can influence this process through marketing activities. This paper develops such a model...

1999
Steve Willoughby

The Intel Performance Microprocessor Division Engineering Computing (PMD EC) team consists of 85 systems administrators serving the needs of 2,000 engineers while trying to manage 7+ terabytes of data and 2,500-3,000 computers. Without some kind of task management strategy, the needs of so large a group would quickly spread chaos and confusion. In fact, due to the nature of our relationship wit...

1997
GROUPSbyWard Whitt

We consider how to partition arriving customers into service groups that will be served separately , in a rst-come rst-served manner, by multi-server service systems having a provision for waiting, and how to assign an appropriate number of servers to each group. We assume that customers can be classiied upon arrival, possibly according to their service requirements. We model the congestion exp...

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