The measurement of end-user computing satisfaction
MIS Quarterly
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Transformation of the IT function at British Petroleum
MIS Quarterly
Developing a multidimensional measure of system-use in an organizational context
Information and Management
Empirical research in information systems: the practice of relevance
MIS Quarterly - Special issue on intensive research in information systems
Culturally induced information impactedness: a prescription for failure in software ventures
Journal of Management Information Systems
Determinants of information center success
Journal of Management Information Systems
Decision support systems unfrastructure: The root problems of the management of changing IT
Decision Support Systems
Expert Systems with Applications: An International Journal
From marketplace to marketspace: Investigating the consumer switch to online banking
Electronic Commerce Research and Applications
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This paper reports the results of a study designed in close collaboration with Merck-Medco to identify key barriers to the success of their customer relationship management. To identify the key factors, we first used focus groups of principle users of the system to brainstorm and generate a list of scenarios and issues. A team of managers, supervisors and customer service representatives then consolidated this list. A 54-item survey was derived from the list and used to collect 1460 responses from the user groups within the company. Data were equally divided into two sets. Exploratory factor analysis was used with the first data set to identify principal factors that explained the majority of problem areas. Structural equation modeling was used with the second data set to further examine and confirm the initial list of factors. The study results suggest a seven-factor 21-item model describing barriers to the success of customer relationship management in terms of 'standard operating procedure compliance,' 'accountability and ownership,' 'callback information content,' 'customer contact process,' ' billing issues,' 'dispensing and replacement process,' and 'queuing procedure'. These factors explained the majority of customer relationship problems in the company. These measures can be used by the company to plan and monitor remedial response. Evidence of reliability and construct validity is presented for the measurement models and decision-making implications are discussed.