Chapter 14: Impact of Technology

Study Guide Highlights

Cloud accounting and access

Cloud accounting places accounting software and data on provider-hosted systems that authorised users access remotely. The operational benefits of shared live records, accessibility and reduced dependence on local infrastructure are considered alongside concerns such as integration, security, service dependence and keeping systems current. The technology is therefore presented as a different delivery model for accounting information, not as an automatic guarantee of better control.

Artificial intelligence and learning

Artificial intelligence is introduced as a broad field concerned with machines performing tasks associated with human-like interpretation and action, while machine learning is treated as a branch of AI that derives patterns from data and improves through feedback. The focus falls on the management-accounting uses and limitations of these technologies, and on keeping definitions clear when similar terms appear together in objective-test questions.

Analytics, big data and visualisation

Data analytics turns data into information that can support decisions, while big data is distinguished through its particular characteristics and sources. Visualisation then presents complex information in a form managers can interpret more readily. These tools overlap but are not interchangeable: finding patterns, working with large and varied data, and displaying information clearly are related tasks with different purposes.

Adoption and cost-benefit judgement

Technology projects can promise speed, insight and improved control while also creating implementation, training, data, cyber-security and organisational challenges. Adoption is therefore treated as a management decision requiring evidence, not as a default response to technological change. Expected gains should be related to the organisation's actual processes and information needs, and weighed against the costs and risks of introducing and maintaining the system.