Assignment Statement of Managerial Problem

Statement of managerial problem / opportunity / issue:
Robots as Doctors? Consumer Acceptance of Robots in Healthcare Settings
Author/s
(Year)*
Type of
study (qual,
quant,
conceptual,
case study)
Research Design Research Focus and/or key
variables tested / Key Findings or outcomes
Gambino,
Kim and
Sundar
(2019)
Quantitative factorial online
experiment was conducted.
factorial online
experiment was conducted.
A factorial online experiment was
conducted between subjects and a
online chat was facilitated (N=283)
The research aimed at
identifying the user attributes
and thereby predict
acceptance of automation or
robotics in healthcare setting
 Acceptance of automated healthcare
services are primarily based on the user
attributes and the digital nature of service
 Moreover, the users are more inclined
towards robotics due to privacy reasons
and the precision of the service quality
The article would identify the behaviour and attributes of the users towards utilizing machine based healthcare services and their acceptance
to the same. The assessment of the values and behaviour of the users towards the adoption of automation in healthcare would support in
justifying the continuous changes in the healthcare setting.
Cresswell,
Cunningha
m-Burley
and Sheikh
(2018)
Qualitative Semi- structured one-to-one interviews
with 21 personnel involved in the
healthcare setting through the
application of purposive sampling
(N=21)
The objective of undertaking
the research is to recognize
the emerging role of robotics
in health care setting. The
research is also focused
towards identifying the future
challenges associated with
robotics and different similar
technologies.
The research identified clear opportunities
for growth of robotics in the healthcare
organizational setting. However, there are
specific challenges that are associated with
the operations relating to disruption of the
operations in healthcare and the like which
might be mitigated for the emerging role of
robotics in healthcare setting
The article supported in developing a clear understanding on the emerging role of robotics in the healthcare setting and he manner in which
the same is bringing disruptions in the overall organized operations. The research helped in identifying the possible opportunities and threats
of implementing automation in the healthcare setting for recognizing the interventions that might be cited in the healthcare setting
Fiorini et
al., (2017) Experimenta
tion Experimentation in love laboratory
with 23 older adults whose age ranged
between 65- 86 years
The objective of the study was
to identify the applicability of
the personal chronic disease of
patients support through
hybrid cloud robotics
The findings reflected that the robots, with
programmed AI systems have better
capability of treating personal chronic
disease of patients while reducing the
intervention off the nurse or the physicians in
any stage

The article supported in identifying the robustness of the use of robotics in the healthcare practices and the manner in which the same would
support in improving the personal chronic disease management related concerns that are being faced by the patients.
Loh (2018) Qualitative The paper summarized the researches
that were conducted in the past 12
years on health and AI in different
medical specialities
The objective of undertaking
the research was to develop a
clear understanding of the
advancements made in
medical science through the
inclusion of Robotics and AI
while predicting the future
developments
The paper identified the different critical
medical aspects that are supported by AI and
emerging robotics along with the complete
automation of the AI systems which would
consistently support medical teams in
treating complex disorders. The research
paper concluded that the emergence of AI
and its intervent6ion in medical practices
have supported in improving the healthcare
services and facilities and thereby there is no
look back.
The research paper is important as it developed a vision on the future of AI in medical practices which would significantly support in devising
the acceptability of the same among the users
Stai et al.
(2019) Quantitative A survey was conducted among the
visitors in Minnesota State Fair through
the utilization of convenience sampling
(n = 264).
The objective of undertaking
the study was to identify the
public perception on AI and
robotic surgeries
It has been observed from the study that
most of the patients are confident on the
efficiency of AI systems while providing
medical diagnosis. However, people
developed a concern on the surgery
which might get overpowered by the
successful surgeries by AI
The research focused on developing an understanding on the perception of the people towards AI which is important for the current research
Al-Taee et
al. (2016) Quantitative A humanoid robot’s acceptability was
checked in the clinic with 37 children,
age ranging from 6 – 16 years,
suffering from type 1 diabetes (n=37)
The objective of the research
was to ascertain the
acceptability of robots by
children suffering from type 1
diabetes
The outcome of the study was that Robotics
was widely accepted by children in
supporting diabetes self-management which
is reflected through overall acceptability of
86.7%
The research would support in developing cognition on the acceptability of robots among the children which would enable in developing cognition on
the overall acceptability and perception of the people
Sarikaya,
Corso and
Guru
(2017)
Observation
al study End-to-end deep learning approach for
tool detection and localization in RAS
videos
The objective of the research
is to detect and localize the
robotic tools in robot assisted
surgeries
The research paper developed cognition on
the different tools that are being used in
surgeries and the manner in which they are
accepted by the users
The overall research study would support in developing an assessment on the kind of utilization and perception of the people towards the use of
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