The experience of work during a time of pandemic has revealed a hidden driver of organizational performance: relational productivity.
"The economic challenge of the 21st century is one of distribution—how does society share its income—when our traditional way of doing so, paying people for their work, might be less effective than it was in the past.”
What is the secret to good decision making when reality clashes with the traditional way of doing things?
Digital talent platforms have matured, offering on-demand access to highly skilled workers. Given the talent problem posed by demographic changes, rapid automation, and digital transformation (and intensified by COVID-19), many companies are using digital platforms to hire gig workers with the capabilities they require—but in an ad hoc way. Now they need to get strategic about it.
In order to see significant financial returns, organizations need a multidimensional, complex relationship with AI—one that involves several methods of learning and different modes of interaction.
In their new book, John Kay and Mervyn King argue that statistical models have only limited value in guiding business decision making. In an uncertain world, decision making should be guided by developing and critically challenging reference narratives, to figure out “what’s going on here?”
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