2011
Authors
Fisk, RP; Patrício, L;
Publication
Journal of Service Management
Abstract
2011
Authors
Fisk, RP; Patricio, L;
Publication
MANAGING SERVICE QUALITY
Abstract
2011
Authors
Fisk, RP; Patricio, L;
Publication
JOURNAL OF SERVICE MANAGEMENT
Abstract
2011
Authors
Patricio, L; Fisk, RP; Falcao e Cunha, JFE; Constantine, L;
Publication
JOURNAL OF SERVICE RESEARCH
Abstract
The proliferation of complex service systems raises new challenges for service design and requires new methods. Multilevel Service Design (MSD) is presented as a new interdisciplinary method for designing complex service systems. MSD synthesizes contributions from new service development, interaction design, and the emerging field of service design. MSD enables integrated development of service offerings at three hierarchical levels: (a) Designing the firm's service concept with the customer value constellation of service offerings for the value constellation experience; (b) Designing the firm's service system, comprising its architecture and navigation, for the service experience; and (c) Designing each service encounter with the Service Experience Blueprint for the service encounter experience. Applications of the MSD method are described for designing a new retail grocery service and for redesigning a bank service. MSD contributes an interdisciplinary service design method that accommodates the cocreative nature of customer experiences and enables experience integration from the design of the service concept through the design of the service system and service encounter.
2011
Authors
Patricio, L; Fisk, RP;
Publication
Touchpoint
Abstract
2011
Authors
Migueis, VL; Camanho, AS; Falcao e Cunha, JFE;
Publication
EXPLORING SERVICES SCIENCE
Abstract
A good relationship between companies and customers is a crucial factor of competitiveness. The improvement of service levels has become a key issue to develop and maintain a loyal relationship with customers. This paper proposes a method for promotions design for retailing companies, based on knowledge extraction from transactions records of customer loyalty cards, aiming to improve service levels and increase sales. At first, customers are segmented using k-means and then the segments' profile is characterized according to the rules extracted from a decision tree. This is followed by the identification of product associations within segments, which can base the identification of the products most suitable for customized promotions. The research reported is done in collaboration with an European retailing company.
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