Economia comportamentale
Relatori che decodificano come gli umani prendono veramente le decisioni — e perché la teoria della scelta razionale raramente regge
Speakers Associates represents 67 speakers on Economia comportamentale, including Mark Ritson, Olivier Sibony, Thimon de Jong, Chris Endersby & Mickey Wilson, Stephen Foerster, Dr Karen Nelson-Field PhD, Timandra Harkness, Mickey Wilson, Patrick Renvoise, e Paul Gibbons.
Most inclusion work in firms is built on good intentions and weak evidence. Leaders spend heavily on training, charters, and targets, then cannot show which actions moved hiring, promotion, or retention. The gap between stated commitment and measurable progression is where credibility, talent, and money quietly leak away.
Marketing budgets are getting bigger while the proof that any of it works is getting weaker. Viewability metrics inherited from a decade ago tell buyers an ad was technically on screen; they say nothing about whether a human noticed it. The gap between paid impressions and commercial outcome is now the single largest unmanaged risk on the marketing P&L.
Most breaches do not start with a flaw in the firewall. They start with a person who answered the wrong email, trusted the wrong voice, or approved the wrong wire. Security spend keeps rising while the attacker keeps targeting the human layer, and most organisations still treat that layer as a training problem rather than a behavioural one.
Most organisations set rules and incentives, then hope people behave as intended. They rarely do. When information is uneven, interests diverge, or a market structure rewards the wrong thing, the output is predictable: gamed auctions, misaligned pay, regulation that entrenches incumbents, decisions that no one in the room actually wants.
Boards and investment committees are awash in forecasts, narratives and active-management pitches, yet the empirical record on whether any of it reliably beats the market is brutal. Leaders responsible for pensions, endowments and corporate capital need a disciplined way to separate what the evidence actually supports from what sounds persuasive in a meeting. The cost of getting that wrong compounds silently over decades.
Most leadership teams have too many strategic priorities and no reliable basis for choosing between them. The result is organisations that are active but not competitive – sustaining wide portfolios of initiatives while their value proposition to customers and talent quietly weakens. Deciding what to stop doing is the harder strategic question, and most frameworks leave executives without a method.
Generative AI is being deployed faster than the governance, voting, and ownership systems around it can adapt. Boards now have to decide which AI systems get a seat at the decision table, who is accountable when those systems shape public opinion, and what legitimacy looks like when a model can speak with more authority than an executive. The hard question is no longer whether to use AI. It is how to keep human institutions credible while doing so.
Marketing budgets are under sharper scrutiny than at any point in a decade, and the old assumptions about how brands earn attention have stopped holding. AI has reset what creative, media and customer experience teams are expected to produce, and most organisations are still reasoning about it as a tool rather than a structural change to how brands compete. The commercial question is which parts of the marketing operation get rebuilt around AI, and which parts get protected because they still depend on human judgement.
Strategy documents land, offsites end, and within a quarter the organisation is back to its old behaviour. The gap between what leaders decide and what teams actually do every day is where most transformation stalls. Closing it requires a working theory of how habits form at the individual and system level, not another round of motivation.
Most organisations already know what they want their culture to be. The values are on the wall, the strategy is signed off, and nothing in daily behaviour changes. The problem is not intent, it is the gap between what leaders say the organisation stands for and what people actually do on Tuesday morning.
Engagement programmes keep failing because the people they target do not believe their own future is theirs to build. Internal mobility, retention, and discretionary effort stall when individuals have written themselves out of their own potential before any policy intervention reaches them. Confidence, money beliefs, and habit are the unaddressed substrate beneath most people strategies.
Capital allocators are being asked to make decisions with a Federal Reserve that keeps changing direction, inflation that refuses to behave, and equity valuations that look unsustainable on every short-run metric. Most analysis on offer is reactive. Boards and investment committees want a longer view: what equities have actually done across cycles, what the data says about rate paths, and what a serious historical record implies for the next allocation decision.