A Strategic Framework for Customer Relationship Management

2005 ◽  
Vol 69 (4) ◽  
pp. 167-176 ◽  
Author(s):  
Adrian Payne ◽  
Pennie Frow

In this article, the authors develop a conceptual framework for customer relationship management (CRM) that helps broaden the understanding of CRM and its role in enhancing customer value and, as a result, shareholder value. The authors explore definitional aspects of CRM, and they identify three alternative perspectives of CRM. The authors emphasize the need for a cross-functional, process-oriented approach that positions CRM at a strategic level. They identify five key cross-functional CRM processes: a strategy development process, a value creation process, a multichannel integration process, an information management process, and a performance assessment process. They develop a new conceptual framework based on these processes and explore the role and function of each element in the framework. The synthesis of the diverse concepts within the literature on CRM and relationship marketing into a single, process-based framework should provide deeper insight into achieving success with CRM strategy and implementation.

Author(s):  
Keith F. Ward ◽  
Erik Rolland ◽  
Raymond A. Patterson

Proponents of Customer Relationship Management (CRM) suggest that a firm can develop a value creation relationship, such that an increase in customer value, leads to an increase in firm value (Mithas et al., 2005). The value for the customers comes from the provision of goods and services that match their needs. However, the research to date on using e-CRM systems to both foster and monitor this value creation process is somewhat mixed. This chapter proposes to cross-functionally integrate organizational assets with customers’ interests via technology. The resulting framework can assist managers in improving services, through the use of e-CRM, to understand what is important to the customer.


2015 ◽  
Vol 1 (2) ◽  
pp. 11 ◽  
Author(s):  
Andreas Krämer ◽  
Thomas Burgartz

The article begins by presenting a model for the structuring of customer data which can be used to demonstrate the value of data in different forms of aggregation. Since Customer Value plays a crucial role in this model the term is examined more closely. As part of a value-based customer relationship management critical parameters are customer benefits and customer profitability. Both perspectives are included in the term Customer Value. A segmentation approach is shown which integrates the key measures of customer relationship management: value generation from the customer perspective (“Value to the Customer”) and value generation from the company’s perspective (“Value of the Customer”). The practical application of the method is demonstrated with typical cases concerning both, B2B as well as B2C markets.


2017 ◽  
Vol 9 (7) ◽  
pp. 122 ◽  
Author(s):  
Lukmanul Hakim ◽  
Nanis Susanti ◽  
Ujianto

This study tried to determine and analyze the deeper understanding of the influence of customer relationship management, brand equity, perceived of product quality, perceived value and price to the customer at the customer's purchase intention Philips light bulb in Batam.The population in this study are all users (consumers) electric light bulb philips brands in the city of Batam. Testing of the model in this study, with Generalized Least Square Estimation (GLS), analysis of structural equation modeling (SEM), proportional random sampling method and software assistance Amos 22, on 240 respondents from eight times the 30 indicators the study variables. The test results indicate the model (fit) seen from the GFI, AGFI, TLI, CFI, RMSEA and CMIN / DF, each of 0915, 0901, 0949, 0953, 0063, and 1,376 are all that are in the range of expected values so that the model can be accepted.The results showed that: 1). Customer relationship management influence on customer value, it shows that with good customer relationship management program, will increase customer value. 2) Customer relationship management influence on purchase intention, it shows that with good customer relationship management program, will increase customer value. 3) Brand equity effect on customer value, it shows that with a good brand equity, will increase customer value. 4). Brand equity effect on purchase intention, it shows that with a good brand equity, will increase customer value. 5) Perceived quality of product effect on customer value, it indicates that the perceived quality of a good product, will increase customer value. 6). Perceived quality of product effect on purchase intention, this suggests that the perceived quality of a good product, will increase purchase intention. 7). Perceived price effect on customer value, it indicates that the perceived price friendly, will increase customer value. 8) Perceived price effect on purchase intention, this suggests that the perceived price friendly, will increase purchase intention. 9). Customer value effect on purchase intention, it shows that with high customer value, will raise the purchase intention.


2011 ◽  
Vol 01 (04) ◽  
pp. 63-71
Author(s):  
Mohammad Javad Mosadegh ◽  
Mehdi Behboudi

This study develops a conceptual framework for applying social networks in usual CRM models. Recent changing in customer relationship theme and putting new media and network-based paradigm into practice makes it imperative to find how social networks affect CRMs. Accordingly, this study explains the role of social networks in customer relationship management by using its analysis, tools and aspects of this concepts based on CRM models. We have provided a SCRM framework that is based on usual CRM models and incorporates Social networks and its tools, methods and analysis. The framework is combination of Social networks concept and traditional CRM concepts.


2021 ◽  
Vol 2 (6) ◽  
pp. 2136-2142
Author(s):  
Dennis Rydarto Tambunan ◽  
Heru Kreshna Reza ◽  
Melly Susanti ◽  
Sabri

The importance of Customer Relationship Management (CRM) to help businesses acquire new customers, retain existing ones and maximize their lifetime value. This paper discusses the role of Customer Relationship Management in 4 bank units and the need for Customer Relationship Management to increase customer value by using several analytical methods in CRM applications. This paper attempts to identify the technological revolution witnessed by commercial banks and to what extent it has benefited banks to build better customer relationship management (CRM) services between public sector banks and private sector banks. The purpose of this study is 1) to analyze customer opinions about bank CRM in relation to service quality management. 2) To find out the customer's opinion about the bank's CRM on customer relationship management. This study uses primary and secondary data. Primary data will be collected by distributing structured questionnaires to conventional banks (Private and Government). Secondary data will be collected from records published by the financial services authority (OJS), standard textbooks and published research papers, and through web information. The primary data required will be collected from 6 banks in Bengkulu. In addition to collecting information from banks, it also collects information from the general public who have bank accounts.  


Webology ◽  
2021 ◽  
Vol 18 (SI03) ◽  
pp. 49-70
Author(s):  
Vu Minh Ngo ◽  
Quyen Phu Thi Phan ◽  
Hieu Minh Vu

Purpose: Despite the crucial contribution of social media on customer relationship management (CRM) strategies, how social CRM can be transformed into customer value, and economics returns for firms remain unexplored in the hospitality industry, especially in turbulent environments. As a new approach for dealing with both gradual and disruptive changes in the market, this study develops and tests the mediating role of dynamic capabilities in the social CRM - performance relationship. Methodology: Drawing on resource-based view and capabilities perspectives, a mixed methodology was applied. First, a survey was conducted to quantitatively test the proposed hypotheses using Structural Equation Modelling with PLS approach (PLS-SEM) on a sample consisting of 111 SEMs. Then, a qualitative fuzzy-set Comparative Analysis (fsQCA) was employed to look for the unique combinations of capabilities to achieve firms‟ superior performance. Findings: The outcomes indicated a mixture of expected and unexpected findings, including: (i) the direct effect of social CRM on firm‟s performance; (ii) Dynamic capabilities as the missing link between social CRM capabilities and firms‟ performance; (iii) the unique roles of social media technology use in the combinations with other capabilities for generating the best firms‟ performance. Originality: This study is among the few to consider the dynamic nature of the market when investigating how to implement Social CRM successfully. The insights and practical implications in this study can be useful for managers in SMEs whose desire is to build a dynamic system for improving customer value and firms‟ performance.


2018 ◽  
pp. 756-773
Author(s):  
Evelyn Chronis ◽  
Qiang Lu ◽  
Rohan Miller

Extant research has been focusing on the effectiveness of social media in driving consumer engagement and interaction. However, little research has examined how social media influences firms' Customer Relationship Management. This chapter fills this gap by proposing a conceptual framework to capture the impact of social media on traditional Customer Relationship Management in the context of consumers' organic food purchasing. Specifically, this study investigates how social media influences the purchase behavior of loyalty program members and non-loyalty program members. This study also examines the effectiveness of different types of social media content on consumer purchase behavior of organic food.


2011 ◽  
pp. 1279-1301
Author(s):  
Nicholas C. Romano Jr. ◽  
Jerry Fjermestad

This article presents a value exchange model of privacy and security for electronic customer relationship management within an electronic commerce environment. Enterprises and customers must carefully manage these new virtual relationships in order to ensure that they both derive value from them and minimize unintended consequences that result from the concomitant exchange of personal information that occurs in e-commerce. Based upon a customer’s requirements of privacy and an enterprise requirement to establish markets and sell goods and services, there is a value exchange relationship. The model is an integration of the customer sphere of privacy, sphere of security, and privacy/security sphere of implementation.


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