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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Practice co-evolution: Collaboratively embedding artificial intelligence in retail practices.

Francesca Bonetti1, Matteo Montecchi2, Kirk Plangger2

  • 1Fashion Business Research Centre, Fashion Business School, London College of Fashion, University of the Arts London, 272 High Holborn, London, WC1V7EV UK.

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Summary
This summary is machine-generated.

Retailers can successfully integrate artificial intelligence (AI) by fostering "practice co-evolution," a collaborative process where employees

Keywords:
Artificial intelligence (AI)Knowledge transferPractice co-evolutionPractice enablementPractice theoriesRetail

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Area of Science:

  • Business and Management
  • Information Systems
  • Human-Computer Interaction

Background:

  • Retailers increasingly adopt artificial intelligence (AI) to boost efficiency and customer engagement.
  • AI implementation often faces employee resistance due to disruptions in established work practices.
  • Successful AI integration requires addressing the human element and adapting workflows.

Purpose of the Study:

  • To examine how retail employees' practices evolve during AI implementation.
  • To identify the key processes enabling successful and sustained AI usage by employees.
  • To develop a model for effective AI embedding in the retail sector.

Main Methods:

  • Longitudinal, multi-site ethnographic approach.
  • 74 stakeholder interviews conducted over a 5-year period.
  • 14 on-site retail observations to document practice changes.

Main Results:

  • Practice co-evolution emerged as the critical process for AI integration.
  • This collaborative process involves co-envisioning, co-adapting, and co-(re)aligning practices.
  • Recursive knowledge transfer is essential for sustaining practice co-evolution.

Conclusions:

  • Practice co-evolution, not mere diffusion, underpins successful AI adoption in retail.
  • An orchestrated, collaborative approach is vital for AI integration.
  • The study offers a recursive, phasic model for guiding retail AI embedding.