A Behavioral Economics Approach to Customer Relationship Management
نویسندگان
چکیده
Can firms be competitive in a market when improving quality is not technically feasible, cost inefficient, or when quality parity is easily matched? Prior work has suggested customer relationship management (CRM) as a tool for horizontal differentiation. However, this use of CRM fails to address the fundamental issue of leveraging CRM for quality disadvantage. Drawing upon behavioral economics, we develop a set of propositions to explore this strategic use of CRM. Specifically, a customer relationship is proposed to increase competitiveness through (1) making the customer relationship available as a decision heuristic, (2) creating customer interactions from their reference dependence and loss aversion, and (3) competing on relational heuristic rather than on quality attribute. Our innovative approach to CRM adds to the literature in three respects. First, it shows that customers can temporarily tolerate a lower quality, because they do not typically engage in cognitive reasoning. Second, it establishes that a higher quality may leave no room for firms to interact with customers and cause a deterioration of subsequent quality evaluations. Finally, it suggests that it may not be cost efficient to over-invest in quality, if maintaining a relationship is more feasible to firms.
منابع مشابه
Evaluation of Electricity Demand Management Policies: Behavioral Economics Approach
Electricity consumption has been rising with an average annual growth of 7% in Iran and the imbalance in production and consumption has caused power outage crisis and economic losses. More than 50% of peak electricity demand is related to the household sector, so the household sector can be considered as the most effective component of the electricity crisis. Investment costs for the constructi...
متن کاملEvaluation of Electricity Demand Management Policies: Behavioral Economics Approach
Electricity consumption has been rising with an average annual growth of 7% in Iran and the imbalance in production and consumption has caused power outage crisis and economic losses. More than 50% of peak electricity demand is related to the household sector, so the household sector can be considered as the most effective component of the electricity crisis. Investment costs for the constructi...
متن کاملNew Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System
This study aimed at providing a systematic method to analyze the characteristics of customers’ purchasing behavior in order to improve the performance of customer relationship management system. For this purpose, the improved model of LRFM (including Length, Recency, Frequency, and Monetary indices) was utilized which is now a more common model than the basic RFM model apt for analyzing the cus...
متن کاملCustomer Retention Based on the Number of Purchase: A Data Mining Approach
Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...
متن کاملInvestigation The Effectiveness Of Customer Relationship Management Factors In Isfahan Tourism And Travel Agencies
The aim of this study is assessing the effectiveness of Customer Relationship Management factors in Isfahan tourism and travel agencies by Structural Equation Modeling (SEM). It is practical according to the goal and it’s a kind of descriptive survey in terms of methodology. Research population included all of staffs and managers at tourism and travel agencies in Isfahan in 2012 that 274 of the...
متن کامل