Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential

2019/12/16 by Ana Isabel Canhoto, Fintan Clear · 368 citations
Business, Management and Accounting · Computer Science · #Artificial intelligence #Big Data and Business Intelligence #Blockchain Technology Applications and Security #Business #Business intelligence #Business process #Business value #Chatbot #Computer science #Economics #Knowledge management #Machine learning #Marketing #Process (computing) #Process management #Risk analysis (engineering) #Service (business) #Software deployment #Software engineering #Supply Chain Resilience and Risk Management #Value (mathematics) #Value creation #Work in process

paper · open access · doi:10.1016/j.bushor.2019.11.003

published in Business Horizons 63(2), 183-193 (Elsevier BV)

openalex publication_date 2019/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/27

Citations

• The Rise of Social Bots

Cited by

• Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel
• Beware of botshit: How to manage the epistemic risks of generative chatbots
• Artificial intelligence and knowledge management: A partnership between human and AI
• From AI to digital transformation: The AI readiness framework
• Power negotiation on the tango dancefloor: The adoption of AI in B2B marketing
• Artificial intelligence in supply chain management: A systematic literature review
• Ethical framework for Artificial Intelligence and Digital technologies
• Digital transformation: A review and research agenda
• Artificial intelligence drivers for business education: a systematic review using the ADO framework
• Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective. [europepmc]
• Japanese style management in eras of change: new management model. [europepmc]
• Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic. [europepmc]
• Interacting with chatbots later in life: A technology acceptance perspective in COVID-19 pandemic situation. [europepmc]
• Measuring the impact of publicly funded open innovation programmes: the case of Data Market Services Accelerator. [europepmc]
• When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity. [europepmc]
• AI-powered narrative building for facilitating public participation and engagement. [europepmc]
• Evolving uncertainty in healthcare service interactions during COVID-19: Artificial Intelligence - a threat or support to value cocreation? [europepmc]