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4 days ago | 
solutionsreview.com | Paula Caligiuri
Tech teams are full of brilliant people. Experts who solve problems fast, think analytically and back up their decisions with data. But that brilliance can become a blind spot. According to our April 2025 report, 84 percent of tech professionals say perspective-taking is critical, yet 25 percent struggle to reconcile conflicting viewpoints. More telling still: 29 percent believe their own perspective is generally the most effective, even on diverse, cross-functional teams.
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1 week ago | 
mba.co.za | Paula Caligiuri |Melissa Torres |Marissa Lombardi
Study abroad experiences are more likely to lead to meaningful growth if students have opportunities to stretch, connect, and reflect.
Students stretch their understanding of other cultures when they live with host families, attend school with host nationals, and observe how the rhythms of daily life play out in business relationships.
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1 week ago | 
solutionsreview.com | Paula Caligiuri
The most successful tech teams aren't the ones that avoid failure. They're the ones that recover fast, learn, and keep moving. In tech, setbacks are part of the job. The last-minute rollback. The AI model behaves beautifully in testing and then collapses in production. The promising feature gets killed because business priorities shift yet again. These are part of the job. But what happens after the failure? That's where the gap shows up. Some people rebound. Others stall or ruminate.
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1 week ago | 
chiefexecutive.net | Paula Caligiuri |Nada Sanders
In a world captivated by rapid advancements in artificial intelligence, it’s easy to assume that hard, technical skills—like coding, data analytics and robotics—will dominate in the future of work. But here’s the paradox: As technology advances, soft skills—the ones that have historically been considered secondary or “nice-to-have”—are becoming the real differentiators for success.
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1 week ago | 
aacsb.edu | Paula Caligiuri |Melissa Torres |Marissa Lombardi
Study abroad experiences are more likely to lead to meaningful growth if students have opportunities to stretch, connect, and reflect.
Students stretch their understanding of other cultures when they live with host families, attend school with host nationals, and observe how the rhythms of daily life play out in business relationships. As students connect with peers from different cultures, they learn to adjust their communication, leadership, and teamwork styles.
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2 weeks ago | 
solutionsreview.com | Paula Caligiuri
You'd think working in tech means you're surrounded by curiosity. After all, this is the industry built on questions: What if we automated this? Could this scale? What happens if we plug that into this? And yet, curiosity is quietly fading from daily work. According to our April 2025 report, a staggering 93 percent of tech professionals agree that curiosity is "very" or "extremely" important. But nearly half (47 percent) say they struggle to find the time to explore new tools, processes, or ideas.
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3 weeks ago | 
solutionsreview.com | Paula Caligiuri
If your team can't make a decision without a Jira ticket, a Slack thread, and three stand-ups, ambiguity might already be your biggest blocker. In a world that worships clarity, ambiguity is often treated like a bug to fix. But in tech-where the roadmap shifts, users are surprised, and AI rewrites the rules-ambiguity isn't an exception. It's the environment. According to our April 2025 study, 75 percent of tech leaders say tolerance for ambiguity is critical.
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4 weeks ago | 
solutionsreview.com | Paula Caligiuri
It's become trendy to say, "AI won't replace you, but someone who knows how to use it will." But here's a more urgent truth: The disruption that threatens most tech teams isn't artificial; it's human. We're racing into an AI-driven future with team members who are technically brilliant but emotionally brittle. They are curious, in theory, but time-starved in practice. They are demographically diverse but operating in their own echo chambers.
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1 month ago | 
fortunekorea.co.kr | Nada Sanders |Paula Caligiuri
인공지능(AI)은 인간의 노동이 필요했던 업무를 자동화하며 다양한 산업을 변화시키고 있다. 세계경제포럼(WEF)의 ‘2025 미래 일자리 보고서’는 2030년이 되면 AI로 인해 9200만 개의 일자리가 사라지는 반면, 1억 7000만 개의 새로운 일자리가 생겨 결과적으로 7800만 개의 일자리가 순증할 것으로 예측했다.
희망적인 수치지만, 핵심은 ‘총 일자리 수’가 아니라 ‘시점’에 있다. AI가 새 일자리가 만드는 속도보다 훨씬 더 빠르게 기존 직업을 없앨 가능성이 높다. 이로 인해 노동시장이 안정화하기 전에 대량 실업이 일어날 수 있다는 게 문제다.
그 이유는 현재 업무 구조에 있다. 오늘날 여러 산업에서 AI는 기존의 업무 체계를 유지한 채로 사람의 일을 대신한다. 반면 완전히 새로운 형태의 일자리가 만들어지려면 기업들이 ‘업무 시스템’ 자체를 재구성해야 하는데, 이런 변화는 더딜 수밖에 없다.
구조적 제약과 조직의 관성, 숙련 인력 부족 때문이다.
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1 month ago | 
fortune.com | Nada Sanders |Paula Caligiuri
Nada Sanders and Paula Caligiuri are distinguished professors at Northeastern University D'Amore-McKim School of Business in, respectively, supply chain management and international business and strategy.
