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Abstract(s)
Intelligent Virtual Assistants (IVA) are used frequently in
multiple sectors to support different business processes, such as
customer support. With their application comes clear
advantages, such as lowering service costs and increasing
efficiency. The increased attention from academics and
researchers regarding IVAs raises the search for the latest
developments on this topic. To address the research gap about
the adoption of chatbots for banking in Portugal two studies were
conducted. To do so, firstly, a systematic literature review
provides an overview of what has already been studied and
investigated in IVA in business and management. Secondly, we
applied the PLS-structural equation modelling, with a sample of
154 people, aged between 18 and 76 years old, from all levels of
graduation and divided almost equally by gender. From these
two studies, findings highlight that IVAs used daily help users to
connect in a human-like way, perceiving them as trustworthy
technologies. Also, the IVAs' human-like traits improve the
customer relationship and the service itself. It also contributes by
synthesizing theoretical contributions and identifying new
research opportunities. The PLS-structural equation modelling 2 -
study revealed that the perceived usefulness affects the intention
to adopt the IVA for banking and that adoption also affects the
actual usage of this type of assistant. Additionally, we identified
future research streams such as how the IVA’s users can be
segmented across different sectors, how does the generational
and level of education factors influence the user’s segmentation
and how can the experience with IVAs in the retail sector
improve the experience with the brands in Portugal among
others.
Description
Keywords
Intelligent Virtual Assistant (IVA) Chatbots AI Management Automation Customer experience Finance Banking