Journal of Business in The Digital Age,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 30, 2023
Sohbet
robotu
yapay
zeka
uygulamalarından
biridir.
İşletmeler
müşterilerine
bilgi
vermek,
web
sitesi
içinde
yönlendirme
yapmak,
sorulara
anında
ve
hızlı
bir
şekilde
cevap
verebilmek
için
sohbet
robotundan
faydalanmaktadırlar.
Çalışmanın
amacı,
endüstriyel
pazarda
satış
çalışanlarının
faaliyetlerinde
robotlarını
kullanımına
ilişkin
amaç,
beklentileri
elde
edilebileceği
faydaları
ile
algılanan
engelleri
endişeleri
ortaya
koymaktır.
Ayrıca
robotlarının
müşteri
deneyimine
sağlayacağı
katkıları
belirlemektir.
Bu
doğrultuda
10
çalışanı
derinlemesine
görüşmeler
yapılmıştır.
Görüşmelerin
analizinde
içerik
analizi
kullanılmıştır.
Çalışma
sonuçlarına
göre,
faydalar;
ürün,
lojistik,
stok
bilgisi
sağlaması,
departmanlararası
veri
paylaşması,
temel
sorularına
vermesi,
müşteriyi
ilgili
kişiye
yönlendirmesi,
verilerinin
toplanması,
rutin
işleri
takip
ederek
ziyaret
planlaması,
şikayet
takibi
yapması,
müşterinin
firmaya
kaydolmasını
kolaylaştırması,
farklı
dil
özelliklerini
kullanması,
e-postaları
analiz
önceliklendirmesi
yanıt
verebilmesidir.
Satış
çalışanları
robotunun
doğru
çalışmaması,
kişinin
izni
olmadan
müşteriye
yanlış
(randevu,
fiyat,
temin,
gibi)
sorun
yaşaması,
talepleri
tahmin
edememesi
konularında
endişe
duymaktadırlar.
Katılımcılar
kullanmalarında
engeller;
pazardaki
işlerin
ürünlerin
teknik,
kaybetme
riskinin
yüksek
maliyetli
olması
olarak
ifade
etmişlerdir.
algılama
hatası
vermesinin,
kullanıcı
duygularını
anlama
zorluğunun,
verilen
bilginin
yetersizliğinin,
kullanıcıların
eğitim
seviyelerinin
düşük
olmasının
kullanım
oranını
azaltacağını
düşünmektedirler.
Marketing Intelligence & Planning,
Journal Year:
2024,
Volume and Issue:
42(7), P. 1141 - 1168
Published: May 20, 2024
Purpose
With
the
advancement
of
digital
transformation,
it
is
important
for
e-retailers
to
use
artificial
intelligence
(AI)
customer
engagement
(CE),
as
CE
enables
e-retail
brands
succeed.
Essentially,
AI
e-marketing
(AIeMktg)
technological
approaches
in
by
blending
data,
and
Retail
4.0
digitisation
physical
shopping
experience.
Therefore,
era
4.0,
this
study
investigates
factors
influencing
AIeMktg
transforming
CE.
Design/methodology/approach
The
primary
data
were
collected
from
305
e-retailer
customers,
analysis
was
performed
using
a
quantitative
methodology.
Findings
results
reveal
that
has
tremendous
applications
First,
marketers
swiftly
responsibly
anticipate
predict
demands
provide
relevant
personalised
messages
offers
with
location-based
e-marketing.
Second,
through
continuous
feedback
loop,
improves
offerings
analysing
incorporating
insights
360-degree
view
Originality/value
main
contribution
theoretical
underpinnings
CE,
AIeMktg,
commitment
4.0.
Subsequently,
builds
validates
structural
relationships
among
such
underpinning
variables
which
customers
expect
different
type
experience
across
channels.
Marketing Intelligence & Planning,
Journal Year:
2024,
Volume and Issue:
42(7), P. 1234 - 1256
Published: June 5, 2024
Purpose
Artificial
intelligence
(AI)
has
become
a
pivotal
technology
in
both
marketing
and
daily
life.
Despite
extensive
research
on
the
benefits
of
AI,
its
adverse
effects
customers
have
received
limited
attention.
Design/methodology/approach
We
employed
meta-analysis
to
synthesise
effect
sizes
from
45
studies
encompassing
50
independent
samples
(
N
=
19,503)
illuminate
negative
facets
AI's
impact
customer
responses.
Findings
Adverse
including
privacy
concern,
perceived
risks,
alienation,
uniqueness
neglect,
significant
customers'
cognitive
(perceived
benefit,
trust),
affective
(attitude
satisfaction)
behavioural
responses
(purchase,
loyalty,
well-being).
Additionally,
moderators
AI
(online
versus
offline),
(age,
male
vs.
female),
product
(hedonic
utilitarian,
high
low
involvement),
firm
level
(service
manufacturing)
national
(individualism,
power
distance,
masculinity,
uncertainty
avoidance,
long-term
orientation)
moderate
these
relationships.
Practical
implications
Our
findings
inform
managers
about
drawbacks
utilising
as
part
their
value
proposition
provide
recommendations
how
minimise
different
contexts.
policymakers
need
consider
dark
side
especially
among
vulnerable
groups.
Originality/value
This
paper
is
first
that
previous
providing
comprehensive
view
diminishing
FIIB Business Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 11, 2024
This
research
seeks
to
investigate
the
influence
of
performance
expectancy,
effort
facilitating
conditions,
habit
and
hedonic
motivation
on
behavioural
intention
in
context
chatbot
utilization
within
banking
industry.
Additionally,
study
explores
moderation
effects
age,
gender
personality
type
relationships
between
use
behaviour.
The
employs
a
quantitative
survey
customers,
data
have
been
analysed
using
partial
least
squares
structural
equation
modelling
artificial
neural
network.
findings
suggest
that
acceptance
chatbots
are
influenced
by
range
factors,
including
conditions
motivation.
also
reveals
only
types
can
moderate
relationship
intentions
provides
insights
for
banks
other
financial
institutions
considering
implementation
as
part
their
customer
service
strategy.
Business Process Management Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 8, 2025
Purpose
The
utilization
of
virtual
agents,
particularly
chatbots,
within
healthcare
and
medical
contexts
is
witnessing
exponential
growth
owing
to
their
capacity
provide
comprehensive
support
patients
throughout
journey,
by
reshaping
the
business
processes.
Such
transformation
in
service
delivery
processes
enabled
those
digital
entities
able
offer
a
preliminary
screening
consultation
platform,
facilitating
patients’
interactions
with
real
professionals.
However,
when
redesigning
through
integration
new
technologies,
particular
attention
reactions
end
users
cannot
be
neglected.
Thus,
purpose
this
paper
investigating
how
both
chatbots'
features
patients'
individual
differences
may
shape
redesigned/renewed
sector.
Design/methodology/approach
Through
two
experimental
studies
(Study
1
Study
2),
we
examined
impact
chatbot
tone
voice
(formal
vs
unformal)
on
behavioral
responses,
intention
use.
Findings
Our
investigation
shed
light
chatbots’
characteristics
terms
perceived
warmth,
denoting
friendliness
empathy
conveyed
chatbot,
competence,
reflecting
its
effectiveness
addressing
user
queries
or
tasks,
used
reshape
process;
Moreover,
also
moderating
role
emotional
receptivity
seeking,
indicating
that
emotionality
non-verbal
communication
between
doctor
patient,
overlooked
even
innovative
environments.
Practical
implications
Managers
marketers
could
leverage
insights
from
study
tailor
interactions,
optimizing
enhance
patient
engagement
satisfaction.
By
focusing
warmth
they
can
design
more
effective
health
solutions.
Additionally,
recognizing
guide
strategies
for
integrating
chatbots
way
maintains
human
touch
communications.
Social
importantly
underscore
relevance
improving
care,
making
empathetic
responsive.
This
extends
process
management
demonstrating
emotionally
intelligent
contribute
better
basis
personalized
experiences.
Originality/value
originality
about
considering
final
users’
strategically
plan
services
redesign.
Indeed,
it
examines
competence
highlights
emphasizing
importance
Administrative Sciences,
Journal Year:
2024,
Volume and Issue:
14(12), P. 322 - 322
Published: Nov. 30, 2024
This
paper
identifies
skills
required
for
workers
in
Industry
4.0
France
and
provides
insights
to
guide
the
development
of
a
future
research
agenda.
The
draws
on
bibliometric
analysis
80
papers,
mapping
technical
interpersonal
needed
professionals
adapt
thrive
evolving
industrial
landscape.
results
highlight
importance
multidisciplinary
approach
integrating
competences
information
technology,
automation,
robotics,
artificial
intelligence,
data
analysis,
project
management,
skills,
adaptability,
collaboration.
holistic
reveals
six
major
domains:
Technical,
Flexibility,
Inter-Agency,
Soft
Skills,
Innovation,
Information
Technology.
conclusions
emphasize
that
interconnection
between
these
domains
is
essential
prepare
workforce
capable
meeting
challenges
seizing
opportunities
France.
shows
there
need
integrated
combines
activities.
It
solid
foundation
formulating
talent
strategies
educational
curricula
aligned
with
demands
4.0.
By
proposing
agenda,
this
study
not
only
highlights
key
areas
further
exploration—economic
impact,
public
innovation
policies,
curriculum
adaptation—but
also
contributes
evolution
human
resources
digital
transformation
era.
FIIB Business Review,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 11, 2023
Artificial
intelligence
(AI)
has
lured
consumers
to
orchestrate
their
routine
activities
relying
on
such
technologies.
Though
AI-powered
virtual
assistants
(AIVAs)
have
gained
traction
among
service
providers,
these
are
still
lagging
the
demand
front.
This
study
intends
develop
an
‘AIVA
adoption
model’
delineated
under
a
holistic
framework
based
structural
equation
modelling
and
deep
neural
network
incorporating
multilayer
perceptron
algorithm.
The
sensitivity
analysis
designated
‘effort
expectancy’
as
most
dominant
antecedent
of
AIVA
adoption,
followed
by
‘perceived
innovativeness’.
While
risk’
held
high
relevance,
tech
users
were
equally
concerned
about
performance
in
conjunction
with
its
anthropomorphic
response;
however,
they
gave
least
consideration
subjective
norms.
parallel
mediation
revealed
that
adopters
preferred
transactional
relationships
more
than
communal
one,
while
simultaneous
application
both
perspectives
better
generates
loyal
customers.
moderation
unveiled
uncanny
valley
paradigm
could
not
always
be
supportive,
especially
context
AIVA.
developed
model
may
serve
basis
generate
well
sustain
loyalty
specified
technology.