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伦敦商学院

英国英格兰伦敦

创立年份: 1964
教职人员:180

欧洲顶尖商学院,专注研究生管理教育。金融硕士与MBA享誉全球,就业服务覆盖130国校友网络。

研究动态

From a fascinating biography of Leonardo da Vinci to the story of open AI, LBS faculty and members of its wider community recommend nine books to read on vacationIn 30 secondsLife could be your most important strategic challenge. Are you allocating your scarcest resources (time, attention and energy) to what truly matters?In the race for AI domination, we need to ask hard questions about what happens when mission, governance and commercial ambiti

The best institutions won’t just teach AI. They will redefine their own value and develop managers with the crucial skills for the AI ageIn 30 secondsAI fluency exposes the fact that business-school analyses, models and frameworks have not always addressed the most urgent problems facing firms.Business schools shouldn’t be trying to turn managers into technologists. They should keep their primary purpose in mind and focus on helping people run bu

Our Think Ahead panel explores how firms can move beyond pilots to build trusted and practical human-centred adoption.Although AI’s ever-advancing capabilities are increasingly influencing working lives, many organisations are struggling to move beyond pilots and proofs of concept. In our latest Think Ahead podcast, Sergei Guriev, Professor of Economics and Dean at London Business School, Keyvan Vakili, Associate Professor of Strategy and Entrepr

Focusing on the tool won’t give you the edge. Our Think Ahead panel discussed how companies are having to rethink value creationHow can organisations turn technological ambition into sustained business impact? How will AI affect competitive advantage and drive value, and how can firms stay ahead?The technology is only a small part of it, says Michael Jacobides, Donald Gordon Professor of Entrepreneurship and Innovation and Professor of Strategy a

In the longer working life, detours that once seemed frivolous and high-risk become essential for renewalIn 30 secondsAdventure does more than break the routine. It disrupts the deeper patterns of thinking and acting that have built up over time and forces us to see ourselves from the outside-in.Experiences that take us beyond what’s familiar can make the possibilities of different “future selves” more tangible and in this way they reshape our fu

In management education, artificial intelligence is not just a new topic. It is an early warning about what happens when fluent analysis becomes cheapIn 30 secondsBusiness schools are at the sharp edge when it comes the pressures on the knowledge economy as AI performs activities formerly carried out by humans and the locus of value shifts.AI outputs are not perfect but nor are traditional outputs. Organisations have often rewarded style over sub

Data and AI are transforming hiring and performance decisions meaning leadership judgement matters more than everIn 30 secondsAs organisations are moving from intuition driven people decisions to evidence based approaches, instinct often reinforces bias rather than predicting performance.AI is reshaping hiring on both sides of the market, creating a “sea of sameness” in applications and forcing employers to rethink how they assess talent.Data can

2026-05-13

AI’s true impact will come not from adoption alone, but from rethinking what we do.In 30 secondsAI’s biggest gains will come through organisational transformation – redesigning systems, workflows and operating models around the technology.Disruption will be uneven – routine, modular tasks are more easily automated, while relational, regulated and context-heavy work remains more resilient.Competitive advantage will depend less on the technology it

We built governance for environmental harm over two decades. The equivalent for technology’s social footprint is still missing.In 30 secondsWe have a sophisticated governance architecture for environmental impact now, but here is no equivalent yet for AI’s social footprint.Developing this governance will be challenging because it’s unclear who to hold to account and the harms are complex and often invisible.Companies could conduct risk assessment

Most organisations start their AI journey with the wrong questions. Evidence from a cement manufacturer and a financial analytics firm shows that AI success depends less on technology choices and more on deliberate leadership design.In 30 secondsAI advantage is a leadership design problem, not a technology choice. The most important decisions are how AI is embedded in real workflows, not which models or vendors are selected.Successful organisatio

The US President has been overruled on reciprocal tariffs. But Trump will continue to get his own way by other means.President Donald Trump has been imposing levies across broad swathes of the economy since “Liberation Day” in April 2025 after he was sworn in for his second presidential term last January. In his inauguration speech he promised “to tariff and tax foreign countries to enrich our citizens”, claiming this would boost the US economy a

New research finds publishers and marketers need to adapt as traditional searches and traffic to small websites are substituted by LLM usageI’m desperate to go on holiday somewhere hot and sunny and I don’t have time to plan my own itinerary. No biggie, I’ll just ask ChatGPT. Sure enough: as if by magic, and almost instantly, everything I need appears on my screen.Three years ago, I’d have used a search engine like Google or Bing, entering a few

In the age of AI, managing and nurturing human resources will be vital to success.Since I began studying, writing and teaching about the future of work decades ago, the role of the HR function and leadership have become increasingly central. Here’s what I expect to happen over the coming year1. Refined working practices will boost productivityMany organisations are entering the year facing economic headwinds, in a context of global uncertainty. T

2025-12-05

Is 2026 going to be any more straightforward than 2025? Of course not, complexity is the new normal. So what can business leaders expect to see unfolding over the next year? We asked six LBS faculty to shine a flashlight into the murky months ahead, providing some much-needed illumination – and LBS Dean Sergei Guriev shares three focus areas for the year ahead.

The London Business School economist and Nigeria’s central bank governor agree that restoring stability means more than tightening policy. It requires rebuilding trust.

Download the transcript – Why does the office still matterFor organisations competing in a knowledge-intensive economy, sustainability cannot be defined only in environmental terms. It must also include the capacity to sustain workers and the value they create. A central but underappreciated factor here is ambience – the air quality, temperature, lighting and soundscape of the workplace.Sustainably designed office ambience is not just about reduc

Why the political backlash matters, what the deeper issues are behind it, and how business leaders can respondDownload the transcript – Beyond greenwashing: How ESG became a corporate battlegroundESG is one of the most polarising and misunderstood topics in business right now. What started as a push for more responsible companies has turned into a political battleground. Companies that once proudly waved the sustainability flag are now scaling ba

Fast-moving developments in how countries trade, invest, and make use of artificial intelligence will impact on all of us over the next nine months。As we enter a new academic year, in the face of ongoing uncertainty and a fragmented world – what can we expect to see?Geo-economics, multi-alignment and technology— Linda Yueh, Adjunct Professor of EconomicsThis coming year is likely to be one for recalibration in geo-economics and technology, to nam

AbstractAs businesses increasingly rely on granular consumer data, the public has increasingly pushed for enhanced regulation to protect consumers’ privacy. We provide a perspective based on the academic marketing literature that evaluates the various benefits and costs of existing and pending government regulations and corporate privacy policies. We make four key points. First, data-based personalized marketing is not automatically harmful. Seco

2025-08-01

AbstractThis article discusses how to apply computational linguistics techniques to analyze largely unstructured corporate-generated text for economic analysis. As a core example, we illustrate how textual analysis of earnings conference call transcripts can provide insights into how markets and individual firms respond to economic shocks, such as a nuclear disaster or a geopolitical event: insights that often elude traditional non-text data sour