OPERATIONAL STRATEGY
Client 1
Client 2
Sector: Cross Industry
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​Challenge: How does the gap between company policies and employee preferences on issues such as flexible working patterns, employee training and parental leave affect firm financial outcomes?
Methodology: We surveyed employees and HR board members to produce an index of dissonance between both groups. Our empirical models linked this index to several measures of future financial performance.
Results:
(1) Companies whose policies aligned closely with their employees delivered 3x higher net profit margins than those that did not.
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(2) Workers in the most aligned companies were more productive and less likely to leave in the next three years. ​​​
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By demonstrating the relevance of our index we were able to help companies optimise their working conditions and benefits packages.​​​​
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​Sector: Trade Body ​
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​​Challenge: How will recent AI advances affect industry productivity? How might the impacts vary along the value chain?
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Methodology: A firm-level panel data model for labour productivity was estimated where the key driver was the value of AI-technology per worker.
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Key Results:
(1) Companies in the top 10% of AI adoption rates per worker had 12% higher productivity than those at the median.
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(2) AI adoption boosts productivity along most of the value chain especially operations and supply chain logistics.
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Our modelling provided detailed assessments of the AI impacts for a variety of company types within a consistent empirical framework.
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