Person: Pedreño Santos, Ana
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First Name
Ana
Last Name
Pedreño Santos
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Económicas y Empresariales
Department
Marketing
Area
Comercialización e Investigación de Mercados
Identifiers
2 results
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Item A model to obtain a SERVPERF scale evaluation of the CRM customer complaints: an application to the 4G telecommunications sector(Technological and Economic Development of Economy, 2017) Carrasco González, Ramón Alberto; Blasco López, María Francisca; García De Madariaga Miranda, Jesús; Pedreño Santos, Ana; Herrera- Viedma, EnriqueThe relationship between customer churn and their complaints is sufficiently contrasted in the telecom sector. Therefore, a key part of a company’s strategy is the measurement of this dissatisfaction. It is important to conduct periodic surveys on complaints in a standard form like the SERVPERF scale because it enables the organization to benchmark. Many of these complaints are stored in the company’s CRM. Our first aim is to define a model to transform CRM customer complaints, expressed in natural language, into SERVPERF scales. In the proposed model, we use the 2-tuple model, which allows computing this linguistic data without losing information. Our second purpose is to implement a prototype to apply the model in a 4G Company. As a practical conclusion, most complaints in this emerging technology (which still has some deficiencies) are related to technical aspects of the services rather than to staff.Item A Model to Obtain a SERVPERF Scale Evaluation of the CRM Customer Complaints: An Application to the 4G. Telecommunications Sector.(Technological and Economic Development of Economy, 2018) Blasco López, María Francisca; Blasco López, María Francisca; CARRASCO-GONZÁLEZ, RAMÓN; Carrasco González, Ramón Alberto; herrera-viedma, enrique; Garcia de madariaga; García De Madariaga Miranda, Jesús; pedreño; Pedreño Santos, AnaThe relationship between customer churn and their complaints is sufficiently contrasted in the telecom sector. Therefore, a key part of a company’s strategy is the measurement of this dissatisfaction. It is important to conduct periodic surveys on complaints in a standard form like the SERVPERF scale because it enables the organization to benchmark. Many of these complaints are stored in the company’s CRM. Our first aim is to define a model to transform CRM customer complaints, expressed in natural language, into SERVPERF scales. In the proposed model, we use the 2-tuple model, which allows computing this linguistic data without losing information. Our second purpose is to implement a prototype to apply the model in a 4G Company. As a practical conclusion, most complaints in this emerging technology (which still has some deficiencies) are related to technical aspects of the services rather than to staff.