The number of practitioners working in applied behavior analysis (ABA) has rapidly increased over the last several decades. Much of this is likely attributable to successfully applying ABA to support the needs of individuals with autism spectrum disorder/autistic individuals. However, as many researchers and practitioners repeatedly demonstrate, the power and potential of ABA extends to nearly any area of social significance. Applied Behavior Analysis for Business and Technology Applications provides 10 chapters written by current experts who apply ABA to various industries spanning business, technology, sports and physical fitness, and large-scale interventions. Specifically, this volume covers organizational behavior management, behavioral safety, sports and physical fitness, public health, social responsibility and sustainability, social work, generative artificial intelligence, data science, user experience, and cybersecurity. In each chapter, the authors describe how basic behavioral principles are relevant, what work in that area involves, and—most importantly—the skill set and training needed to work in that area successfully. This volume is particularly useful for behavior analysts who seek to apply their behavior analytic skillset to business, technology, sports, and large-scale interventions.
1. Chapter 1. Better business through behavioral science: an introduction to organizational behavior management - p. 3 2. Chapter 2. Behavioral safety in organizations - p. 31 3. Section 2: Sports and physical fitness - p. S57 4. Chapter 3. Health and fitness - p. 59 5. Section 3: Large-scale interventions - p. S105 6. Chapter 4. Fundamentals of research and practice in public health for behavior analysts - p. 107 7. Chapter 5. Social responsibility & sustainability - p. 151 8. Chapter 6. The intersections of behavior analysis and social work - p. 175 9. Section 4: Technology - p. S193 10. Chapter 7. Generative artificial intelligence and natural language processing in behavior analysis - p. 195 11. Chapter 8. Behavioral data science - p. 241 12. Chapter 9. User experience - p. 277 13. Chapter 10. Cybersecurity - p. 315 14. Index - p. 347
The number of practitioners working in applied behavior analysis (ABA) has rapidly increased over the last several decades. Much of this is likely attributable to successfully applying ABA to support the needs of individuals with autism spectrum disorder/autistic individuals. However, as many researchers and practitioners repeatedly demonstrate, the power and potential of ABA extends to nearly any area of social significance. Applied Behavior Analysis for Business and Technology Applications provides 10 chapters written by current experts who apply ABA to various industries spanning business, technology, sports and physical fitness, and large-scale interventions. Specifically, this volume covers organizational behavior management, behavioral safety, sports and physical fitness, public health, social responsibility and sustainability, social work, generative artificial intelligence, data science, user experience, and cybersecurity. In each chapter, the authors describe how basic behavioral principles are relevant, what work in that area involves, and—most importantly—the skill set and training needed to work in that area successfully. This volume is particularly useful for behavior analysts who seek to apply their behavior analytic skillset to business, technology, sports, and large-scale interventions.
1. Chapter 1. Better business through behavioral science: an introduction to organizational behavior management - p. 3 2. Chapter 2. Behavioral safety in organizations - p. 31 3. Section 2: Sports and physical fitness - p. S57 4. Chapter 3. Health and fitness - p. 59 5. Section 3: Large-scale interventions - p. S105 6. Chapter 4. Fundamentals of research and practice in public health for behavior analysts - p. 107 7. Chapter 5. Social responsibility & sustainability - p. 151 8. Chapter 6. The intersections of behavior analysis and social work - p. 175 9. Section 4: Technology - p. S193 10. Chapter 7. Generative artificial intelligence and natural language processing in behavior analysis - p. 195 11. Chapter 8. Behavioral data science - p. 241 12. Chapter 9. User experience - p. 277 13. Chapter 10. Cybersecurity - p. 315 14. Index - p. 347
