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#信任

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Sep 2Wed
  1. SAP Concur Blog

    Business Travel's Trust Problem: 4 Lessons for Travel Leaders

    The eighth annual SAP Concur Global Business Travel Survey reveals that 48% of business travelers have bent or broken policy, but more controls aren't the answer. Travelers need to understand the rationale behind policies. Data should reveal context, not just exceptions. While 82% of CFOs plan to increase travel budgets, 84% of travel leaders need more support justifying travel's value. Cross-functional collaboration and human-centric communication are key.

Aug 3Mon
  1. Amadeus Newsroom

    Amadeus study: 75% of U.S. travelers use AI for planning, but booking trust lags

    Amadeus' report 'Tailored Horizons' reveals that 85% of U.S. travelers agree AI saves time and provides personalized recommendations, with 74% using AI during trip planning. However, trust declines when AI takes action: only 20% would allow AI to spend money autonomously within a budget, while 43% would allow it only with conditions. Travelers still desire human oversight, with 51% preferring a combination of AI and human expertise.

Jul 29Wed
  1. Expedia Group Newsroom

    Quality Pays: New Vrbo Research Finds Travelers Will Spend More on Vacation Rentals They Trust

    Vrbo released the Built to Stay Report, surveying over 1,700 travelers across the U.S., Canada, Mexico, UK, France, Germany, and Australia. The study found that 86% of travelers would pay more for a higher-quality listing, and 81% would pay more for a property with strong trust signals. Cleanliness, reliable amenities, and quick host response are key quality signals, while verified reviews and overall scores are important trust signals.

Jun 29Wed
  1. SAP Concur Blog

    Rethinking Travel and AI With Trust As a Critical Component

    SAP Concur Fusion panel discussions highlight trust as key to travel and AI adoption. An SAP Concur study fielded May-June 2020 found 55% of business travelers' top concern is family health and safety. Travelers need information on global restrictions. AI adoption accelerated but requires trust. Experts recommend starting small, collecting feedback continuously, and strictly monitoring AI models.