Channels of social influence for decision making in restaurants: A case study
Consumers use the Internet to obtain information on tourism products and services. When evaluating the alternatives, they are faced with a large volume of information that makes their purchasing decision difficult. In this context, the generalized use of mobile instant messaging (MIM) has led to the...
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Universidade do Algarve
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doaj-a1b3458a9b144208ae76faf9c2d5009b2021-08-02T07:00:57ZengUniversidade do AlgarveDos Algarves: A Multidisciplinary e-Journal2182-55802018-05-0132547610.18089/DAMeJ.2018.32.4Channels of social influence for decision making in restaurants: A case studyM. Romero-CharnecoA.M. Casado-MolinaP. Alarcón-UrbistondoConsumers use the Internet to obtain information on tourism products and services. When evaluating the alternatives, they are faced with a large volume of information that makes their purchasing decision difficult. In this context, the generalized use of mobile instant messaging (MIM) has led to the implementation of chatbots in these channels, to help to plan the purchase. This research explores restaurant selection through a WhatsApp mobile instant messaging (MIM) chatbot. A study is made of the channels consulted by travellers on Web 2.0 as well as the search models and restaurant selection processes, and a case study is presented. The results allow the diagnosis of the main criteria of user behaviour in this type of conversational interface in the decision-making process related to gastronomic consumption.http://www.dosalgarves.com/rev/N32/5rev32.pdfuser-generated contentdecision makingtourist platformschatbotsMIM |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Romero-Charneco A.M. Casado-Molina P. Alarcón-Urbistondo |
spellingShingle |
M. Romero-Charneco A.M. Casado-Molina P. Alarcón-Urbistondo Channels of social influence for decision making in restaurants: A case study Dos Algarves: A Multidisciplinary e-Journal user-generated content decision making tourist platforms chatbots MIM |
author_facet |
M. Romero-Charneco A.M. Casado-Molina P. Alarcón-Urbistondo |
author_sort |
M. Romero-Charneco |
title |
Channels of social influence for decision making in restaurants: A case study |
title_short |
Channels of social influence for decision making in restaurants: A case study |
title_full |
Channels of social influence for decision making in restaurants: A case study |
title_fullStr |
Channels of social influence for decision making in restaurants: A case study |
title_full_unstemmed |
Channels of social influence for decision making in restaurants: A case study |
title_sort |
channels of social influence for decision making in restaurants: a case study |
publisher |
Universidade do Algarve |
series |
Dos Algarves: A Multidisciplinary e-Journal |
issn |
2182-5580 |
publishDate |
2018-05-01 |
description |
Consumers use the Internet to obtain information on tourism products and services. When evaluating the alternatives, they are faced with a large volume of information that makes their purchasing decision difficult. In this context, the generalized use of mobile instant messaging (MIM) has led to the implementation of chatbots in these channels, to help to plan the purchase.
This research explores restaurant selection through a WhatsApp mobile instant messaging (MIM) chatbot. A study is made of the channels consulted by travellers on Web 2.0 as well as the search
models and restaurant selection processes, and a case study is presented. The results allow the diagnosis of the main criteria of user behaviour in this type of conversational interface in the
decision-making process related to gastronomic consumption. |
topic |
user-generated content decision making tourist platforms chatbots MIM |
url |
http://www.dosalgarves.com/rev/N32/5rev32.pdf |
work_keys_str_mv |
AT mromerocharneco channelsofsocialinfluencefordecisionmakinginrestaurantsacasestudy AT amcasadomolina channelsofsocialinfluencefordecisionmakinginrestaurantsacasestudy AT palarconurbistondo channelsofsocialinfluencefordecisionmakinginrestaurantsacasestudy |
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1724163055179268096 |