Article

Mergers and acquisitions in life sciences

There’s no doubt: mergers and acquisitions are occurring more frequently amongst biotech and pharma companies. Yet, while mergers may be great for your partners and board, they’re often incredibly difficult on your talent. Employees can quickly get lost in the fray on everything from uncertainty about job responsibilities to resentment about new leadership; all of which ¬has a direct impact on your productivity and bottom line. How effectively you integrate your talent can even make or break the merger itself; more than 57% of executives surveyed said incompatible cultures were the principal cause of a failed merger in which they were involved. While there’s no one-size-fits-all solution to integrating talent, there are some best practices that every organization can implement to prioritize talent during a merger. Consider these six powerful strategies:There’s no doubt: mergers and acquisitions are occurring more frequently amongst biotech and pharma companies. Yet, while mergers may be great for your partners and board, they’re often incredibly difficult on your talent. Employees can quickly get lost in the fray on everything from uncertainty about job responsibilities to resentment about new leadership; all of which ¬has a direct impact on your productivity and bottom line. How effectively you integrate your talent can even make or break the merger itself; more than 57% of executives surveyed said incompatible cultures were the principal cause of a failed merger in which they were involved. While there’s no one-size-fits-all solution to integrating talent, there are some best practices that every organization can implement to prioritize talent during a merger. Consider these six powerful strategies:

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Decoding artificial intelligence in Human Resources

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Decoding artificial intelligence in Human Resources

Artificial intelligence (AI) has revolutionized various industries, but the mystery deepens regarding its application in human resources (HR). Unlike other scenarios where the goals of AI are clear, AI in HR presents unique complexities due to its specific and ever-changing data. HR is one of the most challenging fields for AI implementation. From the nuances of natural language data to the subjective nature of HR concepts, navigating the intersection of AI and HR requires careful consideration. In this article, we will explore the intricate landscape of HR AI, address its challenges, and shed light on its groundbreaking features. it can bring to Human Resource Information Systems. (HRIS)

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