Doctoral Study Oral DefenseProposal Defense

Medical Identity Theft, Palm Vein AuthenticationThe Manager’s Perspective

Supervisory Committee

Chair: Dr. Nikunja Swain

2nd Committee Member: Dr. Anthony Lolas

URR: Dr. Raghu Korrapati

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Section 1: Background

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Medical Identity Theft

???

Palm Vein Authentication

???

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

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

General Problem: Information theft

Specific Problem: Uncertaintysurrounding the benefits of PVA

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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

systemImproved understanding and use of technology

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Section 1: Purpose Statement – Social Impact (3)

1. Consumers/Patients

2. Suppliers/Management, Doctors, Providers

3. Insurers

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Section 1: Purpose Statement – Social Impact Summary

Cost of medical fraud

decreases

Positive Social

Change

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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

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

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

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

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

Section 1: Research Question 11

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RQ 11: adoption of a PVA system

and complexity

Section 1: Hypotheses for RQs 1, 2

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• H1o: There is no statistically significant relationship between the adoption of a PVA system and perceived usefulness.

• H1a: There is a statistically significant relationship 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.

Section 1: Hypotheses for RQs 3, 4

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• H3o: There is no statistically significant relationship between the adoption of a PVA system and awareness.

• H3a: There is a statistically significant relationship 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.

Section 1: Hypotheses for RQs 5, 6

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• H5o: There is no statistically significant relationship between the usage of a PVA system and resource facilitating conditions.

• H5a: There is a statistically significant relationship 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.

Section 1: Hypotheses for RQs 7, 8

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• H7o: There is no statistically significant relationship between the adoption of a PVA system and self efficacy.

• H7a: There is a statistically significant relationship 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.

Section 1: Hypotheses for RQs 9, 10

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• H9o: There is no statistically significant relationship between the adoption (usage) of a PVA system and compatibility.

• H9a: There is a statistically significant relationship between the adoption (usage) of a PVA system and compatibility.

• H10o : There is no statistically significant relationship 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.

Section 1: Hypotheses for RQ 11

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• H11o : There is no statistically significant relationship 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.

Section 1: Theoretical framework

• TRA• TAM• MM• TPB•C-TAM-TPB•MPCU• IDT• SCT

• 70% BI, 50% AU

Unified Theory of Acceptance

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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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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Section 1: Theoretical framework (cont.)

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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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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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Section 2: Data Source and Collection Technique Plans

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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 Percentages for categorically scaled variables• Range for continuously scaled variables

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Summary

Proposal

Alignment

Problem Statement

Purpose Statement

Research Questions

HypothesesTheoretical Framework

Method/Design of Study

Data Source

Data Collection

Data Analysis

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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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