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eCRM system

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eCRM -system. CRM = relationship marketing or customer management. eCRM = sales force automation tool ... Van Bentum Ralph, Stone Merlin (2005) ... – PowerPoint PPT presentation

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Title: eCRM system


1
eCRM -system
  • CRM relationship marketing or customer
    management
  • eCRM sales force automation tool
  • eCRM more active, customer-centric and
    information seeking than CRM
  • Several eCRM technologies
  • A lot of failures in CRM implementations

2
Research papers
  • Chen Qimei, Chen Hong-Mei. (2004). Exploring the
    success factors of eCRM strategies in practice
    Journal of Database Marketing Customer Strategy
    Management.
  • Cunningham Colleen, Song Il-Yeol, Chen Peter P.
    (2006). Data Warehouse Design to Support Customer
    Relationship Management Analyses. Journal of
    Database Management
  • Van Bentum Ralph, Stone Merlin (2005). Customer
    relationship management and the impact of
    corporate culture A European study. Journal of
    Database Marketing Customer Strategy
    Management.
  • Fjermestad Jerry, Romano Jr. C Nicholas. (2003)
    Electronic customer relationship management
    Revisiting the general principles of usability
    and resistance an integrative implementation
    framework. Business Process Management Journal.
  • Xu Mark, Walton John (2005). Gaining customer
    knowledge through analytical CRM. Industrial
    Management Data Systems
  • Blery Evangelia, Michalakopoulos Michalis (2006).
    Customer relationship management A case study of
    a Greek bank. Journal of Financial Services
    Marketing

3
Exploring the success factors of eCRM strategies
in practice
  • Net benefits
  • Qualitative and quantitative research methods
  • 180 companies, 12 industries 15
    companies/industry 36 in-depth interviews
  • Survival model for eCRM strategy implementation
  • 6 major success factors, 2-5 sub-factors
  • Large companies taking better care of customers,
    medium companies efficient communication, small
    companies marketplace to meet more customers

4
Data warehouse design to support crm analyses
  • Factors that affect design decisions for CRM data
    warehouses
  • Multidimensional model
  • Model is tested with an experiment using
    hypothesis the proposed data warehouse starter
    model has a positive impact on the ability to
    perform CRM analysis
  • Percent success ratio and CRM suitability ratio
  • Case study using manufacturing company is used to
    validate the model
  • Guideline for companies in the selection and
    evaluation of CRM data warehouses

5
Crm and the impact of corporate culture
  • Dependency between crm implementation and culture
  • 8 hypothesis
  • Online questionnaires to companies
  • Several statistical methods used
  • Model of crm culture building elements
  • No single crm culture exists

6
eCRM management revisiting the general
principles of usability and resistance
  • Analyzes 13 case studies from 3 business press
    magazines and one academic journal
  • -- 2 analyzes limited success and successful
    implementations
  • Model for analyzing case studies in the light of
    usability and resistance
  • Need to focus on the users and their needs and
    the overall strategy

7
Gaining customer knowledge through analytical CRM
  • How to acquire customer knowledge -- how an
    analytical CRM system can be developed
  • How to deliver the knowledge to internal and
    external users
  • 20 CRM systems were selceted
  • Model of an analytical CRM system for customer
    knowledge acquisition is created and evaluated
  • Success relies on senior managers awareness and
    support
  • Organizational changes are required

8
Crm A case study of a Greek bank
  • Snowball and Maximum variation sampling
    methods
  • 8 in depth-interviews secondary data
  • Qualitative content analysis method
  • Benefits reduced costs, decreased complexity and
    improved operations
  • CSFs effective project management, realistic
    time scheduling, perfect programming and not
    exceeding the budget

9
Comparison of the papers
10
Comparison of the papers continues
11
Future research
  • Why are eCRMs not used efficiently?
  • The causes of eCRM system failures
  • How to guarantee profit from eCRM?
  • How could eCRM be used efficiently in banks?
  • Cost and benefit analyses of implementing eCRM.

12
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