نتایج جستجو برای: in customer relationship management crm systems

تعداد نتایج: 17382707  

2008
Stephen F. King Thomas F. Burgess

Customer Relationship Management (CRM) systems can help organizations manage customer interactions more effectively. Like many new technologies, CRM has been accompanied by vendor hype and stories of implementation failure. Work on critical success factors (CSFs) should encourage more appropriate implementation practice; however many CSF studies conclude with a list of factors but provide littl...

Journal: :iranian journal of management studies 2011
sepideh sepideh abdollah aaghaie

due to the effective role of markov models in customer relationship management (crm), there is a lack of comprehensive literature review which contains all related literatures. in this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. one hundred articles were identified and reviewed to find direct relevance for applying markov models...

2009
Olaf Reinhold Rainer Alt

Mobile technology offers a high potential to significantly transform the ways how a company can interact with their customers and even with own employees. In recent years researchers started to analyze those potentials from the perspective of customer relationship management (CRM) but mainly concentrated on traditional business-to-customer (B2C) relationships. The concept of collaborative CRM e...

2004
Bocheng Chen Andrew W. H. Ip Yuebo Zhou Bing Liang H. L. Yu

In this paper, the concept and development of CRM (customer relationship management) are discussed, we defined a customer “lead” concept which emphasized the inter-connection of downstream and upstream processes of our customers. It is pointed out that the key point in CRM is the customer lead management in the software design and implementation. Based on this perspective, the processes of lead...

2002
Olaf Boon Brian Corbitt Craig Parker

For an organisation to undertake a Customer Relationship Management (CRM) implementation program it needs to consider a multitude of requirements. Some authors have hinted at viewing CRM within a wider perspective than just customer centric perspectives. The aim of this paper is to discuss the domain and conceptualise some of the requirements of CRM from an organisation’s point of view. However...

Journal: :European Journal of Economics and Business Studies 2015

2008
Peter E. D. Love Hosein Gharavi

Customer relationship management (CRM) is a comprehensive business and marketing strategy that integrates technology, process and business activities around the customer. CRM is assumed to lead to bottom line benefits for the organization. Advances in information and communication technologies have provided an effective platform to deliver electronic CRM functions. Despite widespread agreement ...

2006
Jaideep Srivastava

Data Mining has enjoyed great popularity in recent years, with advances in both research and commercialization. The first generation of data mining research and development has yielded several commercially available systems, both stand-alone and integrated with database systems; produced scalable versions of algorithms for many classical data mining problems; and introduced novel pattern discov...

2013
V. VijayaLakshmi

The Pearson correlation coefficient based on the customer relationship clearly illustrate to the product development process. It developed in an association from the customer relationship management process. The CRM should be implemented to the Pearson correlation algorithm. In an existing system is used to implement for a customer association management in an organization process implement for...

2005
Malte Dous Harald Salomann Lutz Kolbe Walter Brenner

In recent years, companies have integrated their customer relationship management (CRM) and knowledge management (KM) efforts because they realize that KM plays a key role in CRM success. In this article we present the findings of a survey of customer-related KM initiatives’ status quo within organizations as the first step of a two-stage research approach. In a second step we build on the surv...

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