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Customer Relationship Management Systems:The Trends and Technologies


Affiliations
1 GLS University, Ahmedabad, Gujarat, India
 

In today's globalized competitive scenario, mass customization and customer service are important tools for customer attention, retention and loyalty. This paper aims to scrutinize the automation of customer relationship management through the information systems. In this Web 2.0 world, reaching out to a customer at a correct contact-point, with precise information enhances the role of marketing and thus leverages the firms profit and goodwill. With many virtual touchpoints and the unlimited product information available the bargaining power of the customer has increased immensely. Customer relationship software helps to bridge the gap between the company's strategy and the customer's choice. As the business models are shifting to a pull based model, these CRM software help in not only knowing but also understanding the customer and his switching patterns accordingly. As these information's forms large amounts of data, data mining is used to obtain the apt information. Data mining helps break these chunks to data into key action oriented points that directly relate to a company's customer. This in long run helps reduce cost of identifying the new customer and thus increases the profit. This paper illustrates how information technology is developing strong and cordial bonds with its targeted customers giving them a real-time experience thus increasing their loyalty towards the company.

Keywords

Benefits of CRM, Customer Relationship Systems, Success Stories, Trends in CRM.
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  • Berry, L. (1983). Relationship Marketing In Emerging Perspectives on Services Marketing. American Marketing Association, 25-28.

  • Bolton, R. (1998). A dynamic model of the duration of the customer’s relationship with a continuous service provider: The role of satisfaction. Marketing science, 17(1), 45-65.

  • Darrell K. Rigby, F. F. (2002). Avoid the Four Perils of CRM . Harvard Business Review, 1-9.

  • Fahey, L. S. (2001). Linking e-business and operating processes: The role of knowledge management. BM Systems Journal, 40(4), 889-907.

  • Gulati, R. &. (2000). Get the right mix of bricks & clicks. Harvard business review(3), 104-117.

  • He, Z. X. (2004). Mining class outliers: concepts, algorithms and applications in CRM. Expert Systems with applications, 27(4), 681-697.

  • Hobby. (1999, 08 28). Looking after the one who matters. Accountancy Age, pp. 28-30.

  • Joshi, D. V. (2015). CRM in Telecommunication Industry: Issues and Challenges in Indian Context. International Journal of Research in Management, 2(5), 24. doi:2249-5908

  • Kellen, V. (2002, May 10). CRM Measurement Frameworks.37.

  • laudon, K. C. (2014). Management Information Systems: Managing the Digital Firm. Pearson.

  • Mitchell, N. S. (2009). Making sense of large heaps: European Conference on Object-Oriented Programming. Springer Berlin Heidelberg, 77-97.

  • Ngai, E. W. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications, 25922602.

  • Payne, L. R. (2010). Customer relationship management in financial services: towards information-enabled relationship marketing. Journal of Strategic Marketing, 3-27.

  • Popovich, I. J. (2003). Understanding customer relationship management (CRM): People, process and technology. Business Process Management Journal, 9(5), 672-688.

  • Ragins, E. J. (n.d.). Customer relationship management and e-business: more than a software solution. Review of Business, 24(1).

  • Reichheld, F. a. (1990). Zero Defeofions: Quoliiy Comes To Services. Harvard Business Review, 105-111.

  • Salesforce. (n.d.). Retrieved from www.Salesforce.com: https://www.salesforce.com/in/customers/

  • Sheth, J. N. (1995). he evolution of relationship marketing. International business review, 397-418.

  • Strategic issues in customer relationship management (CRM) implementation. (2003). Business process management Journal, 9(5), 592-603.

  • Tan, X. Y. (2002, March). Internet integrated customer relationship management: A key success factor for companies in the E-commerce arena. Journal of Computer Information Systems, 42(3), 77-86.

  • Teo, T. S. (2006). Towards a holistic perspective of customer relationship management (CRM) implementation: A case study of the Housing and Development Board, Singapore. Decision support systems, 1613-1627.

  • Thearling, K. B. (2000). Building data mining applications for CRM.

  • Vodafone CRM. (n.d.). Retrieved from www.vodafone. in: https://www.vodafone.in/business/emerging-business/ vodafone-cloudstore/vodafone-crm

  • Winer, R. S. (n.d.). A framework for customer relationship management. California management review, 43(4), 85-105.


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  • Customer Relationship Management Systems:The Trends and Technologies

Abstract Views: 285  |  PDF Views: 98

Authors

Isha Dave
GLS University, Ahmedabad, Gujarat, India

Abstract


In today's globalized competitive scenario, mass customization and customer service are important tools for customer attention, retention and loyalty. This paper aims to scrutinize the automation of customer relationship management through the information systems. In this Web 2.0 world, reaching out to a customer at a correct contact-point, with precise information enhances the role of marketing and thus leverages the firms profit and goodwill. With many virtual touchpoints and the unlimited product information available the bargaining power of the customer has increased immensely. Customer relationship software helps to bridge the gap between the company's strategy and the customer's choice. As the business models are shifting to a pull based model, these CRM software help in not only knowing but also understanding the customer and his switching patterns accordingly. As these information's forms large amounts of data, data mining is used to obtain the apt information. Data mining helps break these chunks to data into key action oriented points that directly relate to a company's customer. This in long run helps reduce cost of identifying the new customer and thus increases the profit. This paper illustrates how information technology is developing strong and cordial bonds with its targeted customers giving them a real-time experience thus increasing their loyalty towards the company.

Keywords


Benefits of CRM, Customer Relationship Systems, Success Stories, Trends in CRM.

References