Artificial Intelligence in Business and Management

Curated resources from our textbooks

This selection highlights key textbooks on AI in business and management—part of our broader, ever-expanding collection. Request your inspection copies and explore related blogs, expert-led webinars, and sample chapters designed to support your teaching and enrich student learning in a rapidly evolving digital landscape.

How is AI transforming work?

In this article, Laura Steele and John Bratton, authors of Artificial Intelligence and Work, discuss six key ways that AI is impacting work, the workplace and the workforce.

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How is AI impacting marketing teaching?

In our recent webinars with Annmarie Hanlon, we examined innovative strategies for teaching digital business and digital marketing in a fast-changing landscape. Catch up on the recordings, explore our Q&A blog, and dive into Annmarie’s latest textbooks: Digital Marketing and Digital Business.

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Case study: How is AI transforming Human Resource Management?

In Contemporary Human Resource Management, the authors examine the impact of new technologies on HRM, including how AI can increase efficiency. Explore how using ‘AI applications to optimise wording in job descriptions to make them more attractive, diverse, and inclusive, are helping organisations achieve diversity objectives’ (Wilkinson et al, 2025: 61) with this extract from the book.

Box 3.3 HRM in Practice

Recruitment Technology and Organisational Diversity Goals

Textio is an AI-driven language guidance software provider for writing gender-neutral and inclusive job posts. Both Cisco and Johnson & Johnson leveraged this AI in their job posts to resonate with diverse pools of applicants. Cisco observed a 10 per cent rise in women applying, and a 13 per cent increase in women hires, alongside gains in BAME recruitment. This contributed to achieving the most diverse workforce since 2000; 24 per cent of employees worldwide were women, and 47 per cent of US employees were non-white or non-Caucasian (McIlvaine, 2018; Novel, 2018). Although there remains clear room for improvement, Textio has reportedly helped move things in the right direction.

Read: What part can AI play in marketing analytics?

Check out this extract from Marketing Analytics Using Excel, shedding light on the primary functions AI serves when analysing data.

The role of artificial intelligence in marketing analytics

AI gives marketers the ability to gather, manipulate, and use data in ways that would have been described as science fiction only a decade or two ago – and still feel futuristic today.

AI algorithms can process datasets so large that they make the lakes of information handled during the big data era seem like backyard swimming pools. They can recognize patterns that would not have registered without an artificial intelligence sorting through the data. They can also make predictions that are eerily accurate, allowing businesses to make marketing decisions and execute on campaigns with confidence.

Here are some of the primary functions AI serves in marketing analytics.

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Case Study: How is AI reshaping advertising research?

In the third edition of Principles of Marketing for a Digital Age, Tracy Tuten examines how AI can support your marketing and advertising. This case study highlights how Tropicana leverages Neuron’s Predict tool to boost its research capabilities and drive smarter advertising decisions.

Case study 4.3 Neurons’ Predict Revolutionizes Advertising Research with AI for Tropicana

Imagine being able to see your visuals through the eyes of your audience, instantly understanding their attention and cognitive reactions. This is the transformative power of Neurons’ Predict – an AI-driven solution that’s reshaping the landscape of advertising research and campaign optimization. Neurons’ Predict utilizes state-of-the-art AI to simulate consumer attention on visual assets in mere seconds. By pre-testing and fine-tuning images and videos with high precision, brands can make informed design decisions that resonate deeply with their target audience.

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Read: Alan Turing and the Dawn of AI

Strategic Digital Transformation explores essential subjects – emerging technologies, artificial intelligence, cybersecurity, and marketing automation – equipping students to implement digital transformation for competitive advantage. Discover more in this excerpt:

In his seminal paper Computing Machinery and Intelligence from 1950, Alan Turing explores the question “Can machines think?” He proposes replacing this question with a more practical one: “Can machines play the imitation game?” This game involves an interrogator who must distinguish between a human and a machine based solely on their responses to questions.

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Read: Wondering about the ethical challenges in technology?

In this chapter of Modern Business Ethics, Thomas Corbin unpacks the most pressing contemporary issues related to technology.

“Remote working, hyper-flexible working conditions, roboticization, and artificial intelligence – each of these has been allowed for by new technology and has given a host of benefits both to modern businesses and to workers. However, they have also created new, unique, and concerning ethical challenges. This chapter explores some of the most urgent of these challenges being raised by technology in today’s workplace…”

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Read: How are digital technologies transforming research?

Chapter 4: The Digital Researcher, from Researching Information Systems and Computing, explores how technologies offer new research topics and ways of doing research in the digital age.

“The following digital technologies are a major driving force of the digital transformation currently taking place (Gartner, 2025): with emerging technologies continue to shape research agendas across disciplines. Agentic AI is generating interest in autonomous systems and the ethical implications of machine-led decisions, while AI governance platforms are prompting investigations into transparency, accountability, and bias mitigation. Disinformation security is a growing area, with researchers examining misinformation detection and digital trust. Post-quantum cryptography is advancing secure communication in the face of quantum computing threats. Spatial computing and multitasking robots are also driving exploration into immersive environments and adaptive automation, reflecting the increasing integration of intelligent systems into everyday life…”

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