Customer loyalty: A multi-attribute approach

نویسنده

  • J. Barry Dickinson
چکیده

The proposed model is theoretically grounded in the multi-attribute attitude literature. It is proposed that the antecedents of customer loyalty are be partitioned into three categories. First, supply-side (firm-controllable) customer loyalty antecedents are those satisfaction drivers that comprise total customer experience (TCE). Eight distinct TCE dimensions are identified through preliminary personal interviews. Second, the TCE variables influence customer loyalty through a series of mediating variables including satisfaction, quality, perceived value and trust. Customer loyalty is considered a dual-dimensional construct, comprised of cognitive and affective loyalty. The TCE and its antecedents work along two, independent paths---one calculative (cognitive) and one emotional (affective). Third, a demand-side antecedent variable, Loyalty Orientation (LO), is developed to account for the effect of individual differences on customer loyalty. The LO variable is comprised of price fairness, competitor attractiveness, loyalty proneness, and product involvement. Customer loyalty manifests itself in behavioral consequences, including repurchase behavior, spreading positive word of mouth communication, resistance to counter persuasion and reduced product category search. A measure of Perceived Behavioral Control is integrated into the model to account for purchase occasions where the decision is not entirely volitional (exit costs, monetary restrictions, etc.). Managers in virtually any market can use this robust model as a template to optimize loyalty.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nonlinear Multi attribute Satisfaction Analysis (N-MUSA): Preference disaggregation approach to satisfaction

 Nonlinear MUSA is an extension of MUSA, which employs a derived approach to analyze customer satisfaction and its determinants. It is a preference disaggregation approach, widely welcomed by scholars since 2002, following the principles of ordinal regression analysis. N-MUSA as a goal programing model, evaluates the level of satisfaction among some groups including customers, employees, etcete...

متن کامل

A Multi-factor Customer Classification Evaluation Model

Pervasive application of data mining technology is very important in analytical CRM software development when the distributed data warehouse is constructed. We propose a multi-factor customer classification evaluation model CLV/CL/CC which comprehensively considers customer lifetime value, customer loyalty and customer credit. It classifies clients with synthetic data mining algorithms. In this...

متن کامل

Relationship between Corporate Reputation and Customer Loyalty on Nigerian Food and Beverages Industry: PLS Approach

This study used the partial least squares (PLS) approach to examine the effect of corporate reputation on the customer loyalty of the Food and Beverages Industry in Nigeria. The data for this study were collected from the customers in Kano State Nigeria. Out of 250 distributed questionnaires, 212 usable questionnaires were returned. Before examining the effect of corporate reputation on the cus...

متن کامل

Impact Organizational Learning is about CRM Performance Regarding the Relationship Between Integration of Marketing

Purpose: What is changing today is expanding customer loyalty. In organizations such as the Melli Bank, customer relationship management is more sensitive. Because the customer is considered to be part of the service provided in the service delivery process, and the customers are the lifeblood of the banks. The Melli Bank can not only seek new customers, but also keep customers and convert them...

متن کامل

The Development of a Qualitative Dynamic Attribute Value Model for Healthcare Institutes

BACKGROUND Understanding customers has become an urgent topic for increasing competitiveness. The purpopse of the study was to develop a qualitative dynamic attribute value model which provides insight into the customers' value for healthcare institute managers by conducting the initial open-ended questionnaire survey to select participants purposefully. METHODS A total number of 427 question...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015