An introduction to personalization and mass customization

Tiihonen, Juha; Felfernig, Alexander

doi:10.1007/s10844-017-0465-4

Cited by 68 publications

(38 citation statements)

References 20 publications

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“…OSCs are knowledge-based software applications that support potential customers or sales people who are interacting with customers online to completely and correctly specify a product solution from within the company's offerings [1][2][3]. Sales configurators are designed with the purpose of guiding users toward configuration solutions that best fulfill their specific needs [53][54][55][56]. In many cases OSCs are implemented with recommendation systems to further facilitate customers in their search for suitable solutions [51,53,55].…”

Section: Online Sales Configuratorsmentioning

confidence: 99%

Users’ Social-interaction Needs While Shopping via Online Sales Configurators

Grosso¹,

Forza²

2019

Int J Ind Eng Manag

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The growing adoption of social web technologies such as social software (SSW) in online configuration environments has enabled the possibility of supporting configurator users in interacting digitally with real people while they are shopping for customized products. Previous research has identified that online sales configurators (OSCs) are currently connected to SSW with different modalities to provide configurator users with a variety of options to digitally interact with real people. Enriching the configuration environment with social-interaction tools has engendered the phenomenon of socialproduct customization. Recent studies considered the social product-customization by investigating the impact that community feedback and social comparisons has on configurator user. However, the OSCs users' need to interact with different referents during their configuration process, and whether the SSW-OSCs connections respond to this need are still unsearched. To address this gap, the present study explores (a) whether users experience the need to interact with different referents while shopping via OSCs and (b) which interaction modalities users are looking for. By considering 943 configuration experiences from 189 users of 378 OSCs for various consumer goods, the present study finds that the need for social interaction by OSC users is highly relevant. Moreover, OSC users perceive the need to interact with different referents during different stages of the configuration process, and, depending on the referent with whom they wish to interact, they are interested in different interaction modalities in terms of how and where those interactions take place. These findings imply that mass customizers may leverage their customers' need to interact with real people while shopping online via OSCs in order to better engage their actual and potential customers.

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Section: Online Sales Configuratorsmentioning

confidence: 99%

Users’ Social-interaction Needs While Shopping via Online Sales Configurators

Grosso¹,

Forza²

2019

Int J Ind Eng Manag

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“…El uso y/o desarrollo de soluciones informáticas para simular el funcionamiento de sistemas de audiometría parece de mayor viabilidad hoy en día. Aun cuando existen aplicaciones software de acceso vía internet con dicho fin tales como el simulador AudioSim (Audilogy, 2019), el simulador audiométrico MACSUG (2019) y el simulador de paciente virtual Otis (2019), estas aplicaciones informáticas suelen incluir características de los pacientes y equipos no comunes en todos los contextos prácticos, además del costo asociado por el uso de los mismos, asuntos de idioma, y la no conexión con los enfoques pedagógicos ni competencias directas a desarrollar, es decir, sistemas software que no son a la media, y tampoco permiten una personalización en todos los escenarios de usuarios y contextos de uso: el usuario se debe adaptar a su funcionamiento y no viceversa (Tiihonen y Felfernig, 2017).…”

Section: Introductionunclassified

Prototipo de simulador de audiometría para estudiantes de fonoaudiología de la Universidad Santo Tomás, Chile

et al. 2020

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desarrollado el año 2018. Este sistema permitirá a los estudiantes dedicar horas de trabajo autónomo a la práctica de audiometría con una retroalimentación inmediata para reflexionar sobre su propio desempeño. Los estudiantes necesitan utilizar un audiómetro para el desarrollo de competencias procedimentales asociadas, pero dado el alto costo de estos equipos su uso fuera de clase no es viable, lo que dificulta la autonomía del estudiante en el desarrollo de estas competencias. SAEF es un sistema Java con base de datos MySQL de diferentes perfiles de tipo y grado de pérdida auditiva. SAEF entrega una retroalimentación de desempeño para cada estudiante con estadísticas de uso, aciertos y errores de procedimiento. SAEF fue desarrollado considerando nociones de Líneas de Productos de Software (LPS). Según los resultados iniciales, se demuestra un impacto positivo en la autonomía y aprendizaje del estudiante.

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“…One of the most noticeable product innovations in sports betting in recent years is the increasing use of customer personalization, as evidenced in the strategies outlined in multiple annual reports by bookmakers (see, for example, Paddy Power Betfair plc, 2019 [1] , William Hill plc, 2019 [2] ), and noted by gambling industry insiders [3] . Personalization is used to "tailor information to an individual user's specific needs and preferences" (p.1) [4] . By personalizing their products, gambling operators seek to adjust their offer to the individual expectations of each customer.…”

Section: Introductionmentioning

confidence: 99%