Are CRM systems ready for AI integration? A conceptual framework of organizational readiness for effective AI-CRM integration

被引:65
作者
Chatterjee, Sheshadri [1 ]
Ghosh, Soumya Kanti [1 ]
Chaudhuri, Ranjan [2 ]
Bang Nguyen [3 ,4 ]
机构
[1] Indian Inst Technol Kharagpur, Dept Comp Sci & Engn, Kharagpur, W Bengal, India
[2] Natl Inst Ind Engn, Dept Management Studies, Mumbai, Maharashtra, India
[3] Univ Southern Denmark, Kolding, Denmark
[4] Shanghai Univ, Ctr Innovat & Entrepreneurship, Shanghai, Peoples R China
关键词
CRM; Framework; Organization; Integration; AI; Readiness; CUSTOMER RELATIONSHIP MANAGEMENT; M-COMMERCE; MOBILE BANKING; ADOPTION; TECHNOLOGY; USAGE; SERVICES; INFORMATION; INTENTION; BUSINESS;
D O I
10.1108/BL-02-2019-0069
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose The purpose of this paper is to develop a conceptual framework to check if an organization is ready to adopt an AI-integrated CRM system. The study also analyzes different situations which can provide a comprehensive check list in the form of indicators that could provide a signal indicating whether the organization is ready to adopt an AI-integrated CRM system by capturing actionable and appropriate data. Design/methodology/approach The paper is a general review, and appropriate literature has been used to support the conceptual framework. Findings The key findings of this study are the different indicators that make up the conceptual framework. This framework can help organizations to check at a glance whether they are ready to adopt AI-integrated CRM system in their organizations. Specifically, it has been identified that different approaches are needed to tackle various types of customer data so that those may be made fit and actionable for appropriate utilization of AI algorithms to facilitate business success of an organization. Originality/value This study is claimed to be a unique study to provide a conceptual framework which could help arranging and rearranging of captured data by an organization for making the data fit and ready for use with the help of AI technologies. This successful integration of AI with CRM system can help organizations toward taking quick and automated decision-making without much intervention of human beings.
引用
收藏
页码:144 / 157
页数:14
相关论文
共 58 条
[1]  
Alshare KA, 2011, COMMUN ASSOC INF SYS, V28, P571
[2]  
Alshibly H. H., 2015, J MANAGEMENT RES, V7, P17, DOI DOI 10.5296/JMR.V7I1.6800
[3]   The importance of value and context for mobile CRM services in banking [J].
Awasthi, Preety ;
Sangle, Purnima S. .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2013, 19 (06) :864-891
[4]   Adoption of CRM technology in multichannel environment: a review (2006-2010) [J].
Awasthi, Preety ;
Sangle, Purnima S. .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2012, 18 (03) :445-471
[5]   Customer relationship management: key components for IT success [J].
Bose, R .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2002, 102 (1-2) :89-97
[6]   Methodology for customer relationship management [J].
Chalmeta, Ricardo .
JOURNAL OF SYSTEMS AND SOFTWARE, 2006, 79 (07) :1015-1024
[7]   Analysis of the determinants of consumers' m-commerce usage activities [J].
Chan, Felix T. S. ;
Chong, Alain Yee-Loong .
ONLINE INFORMATION REVIEW, 2013, 37 (03) :443-461
[8]   Customer relationship management and firm performance [J].
Coltman, Tim ;
Devinney, Timothy M. ;
Midgley, David F. .
JOURNAL OF INFORMATION TECHNOLOGY, 2011, 26 (03) :205-219
[9]   Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? [J].
de Kerviler, Gwarlann ;
Demoulin, Nathalie T. M. ;
Zidda, Pietro .
JOURNAL OF RETAILING AND CONSUMER SERVICES, 2016, 31 :334-344
[10]   A multi-layered approach to CRM implementation: An integration perspective [J].
Finnegan, David J. ;
Currie, Wendy L. .
EUROPEAN MANAGEMENT JOURNAL, 2010, 28 (02) :153-167