TY - JOUR
T1 - Productivity of incident management with conversational bots-a review
AU - Iparraguirre-Villanueva, Orlando
AU - Obregon-Palomino, Luz
AU - Pujay-Iglesias, Wilson
AU - Sierra-Liñan, Fernando
AU - Cabanillas-Carbonell, Michael
N1 - Publisher Copyright:
© 2023, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2023/12
Y1 - 2023/12
N2 - The use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. The present work is a systematic literature review that collects articles from 2019 to 2022 in the databases Scopus, Springer, Willey, Indexes-Csic, Taylor & Francis, Pubmed, and Ebsco Host. PRISMA methodology was used to systematize 47 relevant articles. As a result of the analysis, 2/19 very important benefits were obtained, which are: helping to obtain information and facilitating customer service; as for the types of conversational bots, a total of 9 types were found, of which conversational agents and chatbots with artificial intelligence (AI) are the most common; in the case of processes, 3/5 processes that optimize conversational bots were found, where the most prominent are: teaching process, health processes, and customer service processes. An architecture model for conversational bots in incident management is also proposed.
AB - The use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. The present work is a systematic literature review that collects articles from 2019 to 2022 in the databases Scopus, Springer, Willey, Indexes-Csic, Taylor & Francis, Pubmed, and Ebsco Host. PRISMA methodology was used to systematize 47 relevant articles. As a result of the analysis, 2/19 very important benefits were obtained, which are: helping to obtain information and facilitating customer service; as for the types of conversational bots, a total of 9 types were found, of which conversational agents and chatbots with artificial intelligence (AI) are the most common; in the case of processes, 3/5 processes that optimize conversational bots were found, where the most prominent are: teaching process, health processes, and customer service processes. An architecture model for conversational bots in incident management is also proposed.
KW - Bot
KW - Chatbot
KW - Conversational
KW - Incidence
KW - Management
KW - Productivity
UR - http://www.scopus.com/inward/record.url?scp=85167465463&partnerID=8YFLogxK
U2 - 10.11591/ijai.v12.i4.pp1543-1556
DO - 10.11591/ijai.v12.i4.pp1543-1556
M3 - Article
AN - SCOPUS:85167465463
SN - 2089-4872
VL - 12
SP - 1543
EP - 1556
JO - IAES International Journal of Artificial Intelligence
JF - IAES International Journal of Artificial Intelligence
IS - 4
ER -