The study reported in this chapter evaluates how the Customer Experience Management System (CEMS) used by a University's Student Support Services (StuSS) responds to the objectives of capturing, storing, extracting, interpreting, distributing, using and reporting customer experience information for creating organisational value. Theoretically, the study draws on the concept of organizational ambidexterity. Concerning the research design, the study was undertaken using qualitative methods of data collection and interpretivist methods of data analysis. It has been inductively discovered that the availability of customer experience information obtained through the CEMS allows StuSS to respond effectively to different student needs. Organizationally, there is clarity concerning the ownership and management of customer relationships. Individual student data is collected, coordinated and distributed across lines of business. Because of this, StuSS is able to consistently identify customers across touch points and channels. Further suggestions are advanced to improve StuSS's analytical investigation capability to derive descriptive and predictive customer information, through applying data mining models to the information that is currently collected.
|Title of host publication||Handbook of research on innovations in information retrieval, analysis, and management|
|Editors||Jorge Tiago Martins, Andreea Molnar|
|Number of pages||20|
|ISBN (Print)||9781466688339, 1466688335|
|Publication status||Published - Jan 2016|