The Applied Management and Decision Sciences - Information Systems Management specialization provides an integrative approach to all aspects of organizations-people, technology, and management, in today’s information rich environment. The curriculum design is intended to promote the scholarship of discovery, integration, application and teaching in order to derive maximum value and innovation from systems investments and strategic direction. The proposal before you today is an example of a study that encompasses an integrative approach (people, technology, and management), that promotes scholarship of discovery, and that explores palm vein authentication technology in relation to medical identity theft. In this presentation, I review a Proposal that explores the issue from a quantitative perspective. Funding consideration at https://www.gofundme.com/CruzCerdaPhD2016

1. Doctoral Study Oral Defense
Proposal Defense
Medical Identity Theft, Palm Vein Authentication
The Manager’sPerspective

2. Supervisory Committee
Chair: Dr. Nikunja Swain
2nd Committee Member: Dr. Anthony Lolas
URR: Dr. Raghu Korrapati
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3. Section 1: Background
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Medical
Identity Theft
???
Palm Vein
Authentication
???

4. Section 1: Background (cont.)
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Investments
in IT held in
high regard
Biometrics
customers
purchase
solutions not
devices
Rise in
medical
identity
theft
Financial
burden
Safety
challenges
Funding consideration at https://www.gofundme.com/CruzCerdaPhD2016

5. Section 1: Problem Statement bullets/citations
Hook: The FBI, cyber actors, and health
care systems
Anchor: In 2014 - 2.32 million victims,
21.7% increase,481,657 new cases
GeneralProblem: Information theft
Specific Problem: Uncertainty
surrounding the benefits of PVA
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6. Section 1: Purpose Statement
The focus of this
quantitative correlational
study will be to
understand the
effectiveness of PVA
technology as perceived
by healthcare managers
and doctors.
Impact of this issue,
project managers and
challenges and barriers
of implementation.
More effective/efficient
implementation of PVA
system
Improved understanding
and use of technology
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7. Section 1: Purpose Statement – Social Impact (3)
1. Consumers/Patients
2. Suppliers/Management,
Doctors, Providers
3. Insurers
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8. Section 1: Purpose Statement – Social Impact
Summary
Cost of
medical fraud
decreases
Positive
Social
Change
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9. Section 1: Research Questions 1, 2
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RQ 1: adoption of
PVA system and
perceived usefulness
RQ 2: adoption of
PVA system and
ease of use

10. Section 1: Research Questions 3, 4
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RQ 3: adoption of
a PVA system and
awareness
RQ 4: adoption of
a PVA system and
peer influence

11. Section 1: Research Questions 5, 6
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Research Question 5:
usage of a PVA system
and resource
facilitating conditions
Research Question 6:
adoption of a PVA
system and technology
facilitating conditions

12. Section 1: Research Questions 7, 8
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RQ 7: adoption of a
PVA system and
self efficacy
RQ 8: adoption
(usage) of a PVA
system and security

13. Section 1: Research Questions 9, 10
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RQ 9: adoption
(usage) of a PVA
system and
compatibility
RQ 10: adoption of a
PVA system and
relative advantage

14. Section 1: Research Question 11
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RQ 11:
adoption of a
PVA system
and complexity

15. Section 1: Hypotheses for RQs 1, 2
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• H1o: There is no statistically significantrelationship between the
adoption of a PVA system and perceived usefulness.
• H1a: There is a statistically significantrelationship between the
adoption of a PVA system and perceived usefulness.
• H2o : There is no statistically significant relationship between the
adoption of a PVA system and ease of use.
• H2a: There is a statistically significant relationship between the
adoption of a PVA system and ease of use.

16. Section 1: Hypotheses for RQs 3, 4
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• H3o: There is no statistically significantrelationship between the
adoption of a PVA system and awareness.
• H3a: There is a statistically significantrelationship between the
adoption of a PVA system and awareness.
• H4o : There is no statistically significant relationship between the
adoption of a PVA system and peer influence.
• H4a: There is a statistically significant relationship between the
adoption of a PVA system and peer influence.

17. Section 1: Hypotheses for RQs 5, 6
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• H5o: There is no statistically significantrelationship between the
usage of a PVA system and resource facilitating conditions.
• H5a: There is a statistically significantrelationship between the
usage of a PVA system and resource facilitating conditions.
• H6o : There is no statistically significant relationship between the
adoption of a PVA system and technology facilitating conditions.
• H6a: There is a statistically significant relationship between the
adoption of a PVA system and technology facilitating conditions.

18. Section 1: Hypotheses for RQs 7, 8
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• H7o: There is no statistically significantrelationship between the
adoption of a PVA system and self efficacy.
• H7a: There is a statistically significantrelationship between the
adoption of a PVA system and self efficacy.
• H8o : There is no statistically significant relationship between the
adoption (usage) of a PVA system and security.
• H8a: There is a statistically significant relationship between the
adoption (usage) of a PVA system and security.

19. Section 1: Hypotheses for RQs 9, 10
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• H9o: There is no statistically significantrelationship between the
adoption (usage) of a PVA system and compatibility.
• H9a: There is a statistically significantrelationship between the
adoption (usage) of a PVA system and compatibility.
• H10o : There is no statistically significantrelationship between the
adoption of a PVA system and relative advantage.
• H10a: There is a statistically significant relationship between the
adoption of a PVA system and relative advantage.

20. Section 1: Hypotheses for RQ 11
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• H11o : There is no statistically significantrelationship between the
adoption of a PVA system and complexity.
• H11a: There is a statistically significant relationship between the
adoption of a PVA system and complexity.

21. Section 1: Theoretical framework
• TRA
• TAM
• MM
• TPB
• C-TAM-TPB
• MPCU
• IDT
• SCT
• 70% BI, 50% AU
Unified Theory
ofAcceptance
and Use of
Technology
Theory
authored by
Venkatesh,
Morris, Davis,
& Davis
This theory was
developed in
2003
Incorporating
eight competing
models to
explain user
acceptance of
IT
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22. Section 1: Theoretical framework (cont.)
Comprehensive
model to examine
factors that
contribute to the
successful adoption
of a new technology
system
The theory interfaces
with the proposed
study by exploring
• Four determinants of
user acceptance of IT
(adoption, usage)
• Performance
expectancy
• Effort expectancy
• Social influence
• Facilitating conditions
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23. Section 1: Theoretical framework (cont.)
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24. Section 2: Method/Design chosen to help add new
insights
Quantitative
Study
Explore
Variables
Questionnaire
Survey
Methodology
To Examine
Technology
Adoption
Issues
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25. Section 2: Participants and sample size
Population
healthcare managers
and doctors
purposive sampling
Minimum sample
size
Parameters
spearman rho
correlation
a priori power
analysis
medium effect size
0.3
alpha 0.05 power 0.95
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26. Section 2: Data Source and Collection Technique
Plans
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27. Section 2: Data Analysis Plan
• Exploratory investigation
• Effect size
• Demographic characteristics/ occupational experiences
– Gender, Age, Highest level of education, years of professional
experience, years of employment at present location, full time versus
part-time
• Demographic characteristics/ occupational experiences
• Frequency and Percentagesfor categorically scaled variables
• Range for continuously scaled variables
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28. Summary
Proposal
Alignment
Problem
Statement
Purpose
Statement
Research
Questions
Hypotheses
Theoretical
Framework
Method/Design
of Study
Data Source
Data Collection
Data Analysis
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29. Closing
Thank you Dr. Swain and Dr. Lolas
This concludes my proposal oral defense presentation. I would
now like to invite your questions
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