TY - JOUR
T1 - Computational Intelligence in the hospitality industry
T2 - A systematic literature review and a prospect of challenges
AU - Guerra-Montenegro, Juan
AU - Sanchez-Medina, Javier
AU - Laña, Ibai
AU - Sanchez-Rodriguez, David
AU - Alonso-Gonzalez, Itziar
AU - Del Ser, Javier
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/4
Y1 - 2021/4
N2 - This research work presents a detailed survey about Computational Intelligence (CI) applied to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data science is growing exponentially because of their expected margin of profit growth. In order to provide precise state of the art content, this survey analyzes more than 160 research works from which a detailed categorization and taxonomy have been produced. We have studied the different approaches on the various forecasting methods and subareas where CI is currently being used. This research work also shows an actual distribution of these research efforts in order to enhance the understanding of the reader about this topic and to highlight unexploited research niches. A set of guidelines and recommendations for future research areas and promising applications are also presented in a final section.
AB - This research work presents a detailed survey about Computational Intelligence (CI) applied to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data science is growing exponentially because of their expected margin of profit growth. In order to provide precise state of the art content, this survey analyzes more than 160 research works from which a detailed categorization and taxonomy have been produced. We have studied the different approaches on the various forecasting methods and subareas where CI is currently being used. This research work also shows an actual distribution of these research efforts in order to enhance the understanding of the reader about this topic and to highlight unexploited research niches. A set of guidelines and recommendations for future research areas and promising applications are also presented in a final section.
KW - Computational Intelligence
KW - Hospitality and tourism management
KW - Hotel industry
KW - Machine Learning
KW - Predictive analysis
KW - Travel industry
UR - http://www.scopus.com/inward/record.url?scp=85100214715&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2021.107082
DO - 10.1016/j.asoc.2021.107082
M3 - Review article
AN - SCOPUS:85100214715
SN - 1568-4946
VL - 102
JO - Applied Soft Computing Journal
JF - Applied Soft Computing Journal
M1 - 107082
ER -
