Customer Relationship Management has attracted the attention of both marketing practitioners and researchers over the last decade. Despite, or maybe due to, the attention drawn to the subject, a clear agreement on what CRM is and especially how CRM should be developed remains lacking. It is now commonly understood that CRM involves technology, drives Marketing, Sales and Customer Services and i...

Customer relationship management (CRM) can help organizations manage customer interactions more effectively to maintain competitiveness in the present economy. As more and more organizations realize the significance of becoming customer-centric in today’s competitive era, they adopted CRM as a core business strategy and invested heavily. CRM, an integration of information technology and relatio...

CRM “is a business strategy that aims to understand, anticipate and manage the needs of an organisation’s current and potential customers”. Customer Relationship Management provides a customer classification and prediction which is used for the optimization of business process. customers”. It is a “comprehensive approach which provides seamless integration of every area of business that touches...

Data mining allows extracting valuable information from the historical data and predicting outcomes of future situations. CRM considers the customer as the centre point, which values the customers of the organization. This article explores the various data mining techniques and its impact on CRM to redefine business processes and

BACKGROUND Clinical risk management (CRM) plays a crucial role in enabling hospitals to identify, contain, and manage risks related to patient safety. So far, no instruments are available to measure and monitor the level of implementation of CRM. Therefore, our objective was to develop an instrument for assessing CRM in hospitals. METHODS The instrument was developed based on a literature rev...

Abstract Customer relationship management (CRM) is a strategic approach to manage an organization’s interaction with current and potential customers. Artificial Intelligence (AI) can analyze huge volume of data without human intervention. The integration AI existing legacy CRM system in the business customer (B2C) makes sense given massive for growth integrated system. Failure plan AI-CRM techn...

Over the last decade, the number of customer is growing, numerous organizations face the problem of integrating and processing the data. Enterprise Resource Planning (ERP) is a way to integrate the data and processes of an organization into one single system. Different EPR tools are used to solve this problem and make ease the customer access to the organization. In this paper we proposed a mod...

In this paper we present a framework that aims to answer the central question why some organizations are successful in the CRM domain, while others are not. The framework is built on two foundations. The first claims that an organization’s CRM performance is positively affected by aligning CRM activities according to five business dimensions: strategy, monitoring and control, organization and p...

The development of Customer Relationship Management (CRM) capabilities by incrementally sourcing and combining “best of breed” services from different providers is a key lever for reducing implementation risks and costs linked to CRM projects. Central to a “best of breed” and incremental CRM implementation strategy is the unbundling of CRM functionality into a portfolio of services that can be ...

Organizations invest heavily in Customer Relationship Management (CRM) and Supply Chain Management (SCM) systems, and their related infrastructure, presumably expecting positive benefits to the organization. Assessing the benefits of such systems is an important aspect of managing such systems. Given the substantial differences between CRM and SCM systems with traditional intra-organizational a...