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Why Workers Should Evaluate Their Managers

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What happens when workers get a say in evaluating their managers? At one Chinese carmaker, the results speak for themselves: happier teams, better leadership, and a noticeable boost in productivity—without a single downside.

AI in Quality Control and Assurance

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Keeping quality high in today’s fast-moving production world is a big challenge. Traditional quality checks have worked well, but they can be slow, require a lot of work, and are prone to mistakes.

Identifying OHS Hazards and Managing Risks

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How do health and safety incidents affect your business? If a worker is injured or becomes ill, what kind of disruption does it cause? Is your productivity affected? What’s the effect on other workers in terms of workload or psychological health and well-being?

What Leaders Can Learn About Innovation From a Pistol Maker

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Engraving of Samuel Colt, 1885.

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Innovation is vital to the success of all businesses. Innovate or perish is the new mantra. Leaders must perpetually reinvent their processes, products, and services, because they typically have multiple competitors offering similar offerings.

How to Make Gen AI Work for Manufacturers

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Manufacturers face a critical challenge: capturing, standardizing, and scaling workforce knowledge. Skilled workers are retiring, and labor shortages are persisting. Outdated, paper-based documentation can no longer keep up.

Six Tips on How to Run a Company in Turbulent Times

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Global risks are rising, and many companies are struggling to adapt.

Generative AI Isn’t Intimidating When You Learn It This Way

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One transformative strategy that can revolutionize how organizations embrace generative AI  is

How Competition Outside the Workplace Shapes Collaboration

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What happens when workplace colleagues land on opposing sides of an external competition? Henning Piezunka, an associate professor of management at Wharton, tac

How to Align Workforce Development With Supply Chain Management

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Workforce development is an essential yet frequently overlooked aspect of supply chain management in manufacturing.

Outliers Are Pure Gold!

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Outliers are values that don’t “fit in” with the rest of the data. These extreme values are commonly considered a nuisance when we seek to summarize the data with our descriptive statistics.

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