The increasing attention in the field of value management is highlighting multiple challenges for researchers and practitioners. Building on previous managerial contributions, the paper aims to define a possible pat h for combining the conceptual contributions related to value in exchange, value in use, and value in context in a common framework to improve understanding of emerging social and ec onomic dynamics under the interpretative lens provided by studies on ecosystem s . Based on previous managerial contributions in the tourism management domain , the study identifies a set of variables related to the three conceptualizations of value with refe rence to the case of Airbnb . These variables are the host’s p rice per night (€), h ost position in the Airbnb ranking, previous e valuations of the h ost, average number of a host’s guests , availability of the host’s photographs , total number of services provided by the host, physical accessibility of the host ( travel d istance from the airport), and number of languages spoken by the host. Combining qualitative a nd quantitative approach es, the impact of the identified variables and users ’ evaluation is investigated via structural equation modeling .
Managing value dimensions within an ecosystem framework : Reflections and empirical observation s in the tourism sector
SMALDONE F
2018-01-01
Abstract
The increasing attention in the field of value management is highlighting multiple challenges for researchers and practitioners. Building on previous managerial contributions, the paper aims to define a possible pat h for combining the conceptual contributions related to value in exchange, value in use, and value in context in a common framework to improve understanding of emerging social and ec onomic dynamics under the interpretative lens provided by studies on ecosystem s . Based on previous managerial contributions in the tourism management domain , the study identifies a set of variables related to the three conceptualizations of value with refe rence to the case of Airbnb . These variables are the host’s p rice per night (€), h ost position in the Airbnb ranking, previous e valuations of the h ost, average number of a host’s guests , availability of the host’s photographs , total number of services provided by the host, physical accessibility of the host ( travel d istance from the airport), and number of languages spoken by the host. Combining qualitative a nd quantitative approach es, the impact of the identified variables and users ’ evaluation is investigated via structural equation modeling .I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
