Response from Professors
Questions / Issues:
Break hypotheses into singular relationships instead of multiple ones
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H1: There is no significant impact of the integration of AI technologies into HR decision-making processes, including recruitment, performance evaluation, and talent management.
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H2: There is no significant difference in decision-making accuracy, efficiency, and bias reduction between AI-enabled HR tools and traditional methods.
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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
