The effects of e-CRM on customer-bank relationship: the case of Thailand
Phavaphan Sivaraks, Donyaprueth Krairit, Do Ba Khang
Abstract
Phavaphan Sivaraks, Donyaprueth Krairit, Do Ba Khang
Abstract
This research examines and measures the outcomes of implementing an electronic customer relationship management (e-CRM) system in the Thai banking industry in terms of customers’ perspectives. Because customers cannot directly perceive most e-CRM implementations, a literature review and interviews with experts in the Thai banking industry were used to develop a new construct called ‘customer-based service attributes’ to measure e-CRM outcomes from customers’ perspectives. A full-scale field survey of 684 customers of Thai commercial banks was then conducted. A service attribute model and a model that combined relationship quality and outcomes were constructed, and their validity and reliability were confirmed. The result shows that overall customer-bank relationship quality, trust, and satisfaction have a statistically significant correlation to e-CRM implementation. A multiple linear regression analysis demonstrates that age, occupation, home location, frequency of bank branch use, and income influence both the customer-bank relationship quality and the outcomes of e-CRM implementation.
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This research examines and measures the outcomes of implementing an electronic customer relationship management (e-CRM) system in the Thai banking industry in terms of customers’ perspectives. Because customers cannot directly perceive most e-CRM implementations, a literature review and interviews with experts in the Thai banking industry were used to develop a new construct called ‘customer-based service attributes’ to measure e-CRM outcomes from customers’ perspectives. A full-scale field survey of 684 customers of Thai commercial banks was then conducted. A service attribute model and a model that combined relationship quality and outcomes were constructed, and their validity and reliability were confirmed. The result shows that overall customer-bank relationship quality, trust, and satisfaction have a statistically significant correlation to e-CRM implementation. A multiple linear regression analysis demonstrates that age, occupation, home location, frequency of bank branch use, and income influence both the customer-bank relationship quality and the outcomes of e-CRM implementation.
Key concepts: Customer relationship management, Business, Service quality, Marketing, Implementation, Customer satisfaction, Scale (ratio), Quality (philosophy)