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Managing E-Crm Towards Customer Satisfaction and Quality Relationship

About Managing E-Crm Towards Customer Satisfaction and Quality Relationship

Electronic customer relationship management (ECRM) is a comprehensive business and marketing strategy for attracting and retaining customers over the internet. The proliferation of ECRM and its alarming failure rate call for a better understanding of the relationship between ECRM and its immediate objective. Based on the literature reviewed, there are few studies that have used service quality as a component of relationship quality in the relation between ECRM and customer satisfaction. The study investigates the influence of three components of ECRM (i.e., pre-purchase, at-purchase, and post-purchase ECRM) on customer satisfaction directly and through mediating variable relationship quality. A quantitative methodology using a cross-sectional survey method was used to investigate the relationship between variables.

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  • Language:
  • English
  • ISBN:
  • 9781543749991
  • Binding:
  • Paperback
  • Pages:
  • 330
  • Published:
  • March 19, 2019
  • Dimensions:
  • 229x152x19 mm.
  • Weight:
  • 485 g.
Delivery: 1-2 weeks
Expected delivery: January 4, 2025
Extended return policy to January 30, 2025
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Description of Managing E-Crm Towards Customer Satisfaction and Quality Relationship

Electronic customer relationship management (ECRM) is a comprehensive business and marketing strategy for attracting and retaining customers over the internet. The proliferation of ECRM and its alarming failure rate call for a better understanding of the relationship between ECRM and its immediate objective. Based on the literature reviewed, there are few studies that have used service quality as a component of relationship quality in the relation between ECRM and customer satisfaction. The study investigates the influence of three components of ECRM (i.e., pre-purchase, at-purchase, and post-purchase ECRM) on customer satisfaction directly and through mediating variable relationship quality. A quantitative methodology using a cross-sectional survey method was used to investigate the relationship between variables.

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