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Defense

Response from Professors 

Questions / Issues:

Break hypotheses into singular relationships instead of multiple ones

·
H1: There is no significant impact of the integration of AI technologies into HR decision-making processes, including recruitment, performance evaluation, and talent management.

·
H2: There is no significant difference in decision-making accuracy, efficiency, and bias reduction between AI-enabled HR tools and traditional methods.

·
H3: There is no significant association between the adoption of AI technologies in HR decision-making and the challenges and ethical considerations faced by organizations.

Have a way to target Accenture / get permission to use the company as a source? Our IRB will require that you have permission if you are targeting a specific company

Slide 10 – IV predict DV, not the way it’s presented

Slide 12 – scales – answering about use in Accenture

Slide 16 – participant groups – looking for differences between groups – what are the groups – Group by hierarchical level – compare senior level to junior level

How Measure

Perceived Ease of Use

Perceived Usefulness

RBV

Ethical AI

Decision Making Processes

Need to tie these better into how you will measure

Model

DV

HR Decision Making Outcomes (Accuracy, Efficiency, Fairness)

IV

Integration of AI Technology

Impact of AI enabled HR Tools

Ethical Considerations

This structure implies a regression using the three IVs to predict the DV

Scales:

A – Integration of AI into HR Decision Making

B – Impact of AI on Decision Making (H2)

C – Challenges and Ethical Considerations in AI Adoption (H3)

D – Effect on HR Decision Making Processes (H1)

Target Audience

HR Professionals at Accenture – have a contact to give access

Sample Size 44 participants

Data Collection – Not semi-structured survey, but simple survey. Google forms.

Analysis

t-tests and ANOVA to compare groups – will need much greater sample size than 44 to do that.

Need consistency of method of analysis – some parts note regression, others note t-tests/ANOVA, etc.

? How will you ensure your survey captures true perceptions about fairness and trust in AI

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