Insights

What’s standing in the way of offsite manufacturing? For decades, the construction sector has been hailing it as the next big thing but we have yet to see it really taking off. Why is that, when the technologies and processes already exist? Dr Zakaria Dakhli believes it is due to a fundamental incompatibility between business models and it is only when this has been fully understood that the long-awaited transformation can take place.

Most of the products we take for granted contain huge numbers of components assembled in multiple stages by different manufacturers. Quality control is vital throughout the assembly process with rigorous testing required at every step.

For B2B firms struggling to reap the rewards of digitalisation, could digital twins be the way forward? In this article, CSA's Dr Erika Pärn and colleagues from the Fraunhofer Institute and Technische Universität in Dortmund, explore the relationship between this emerging technology and business model innovation.

Digital transformation is failing to live up to its hype, at least as far as productivity gains are concerned. If, as research suggests, a lack of business model innovation is the main culprit, we need a way of making it happen. Dr Chander Velu thinks a balanced scorecard approach could be the answer.

At the Cambridge Service Alliance's most recent Community of Interest, Dr Erika Pärn considered the development of digital twins in the construction sector: the challenges it faces and whether android operating systems could provide a useful roadmap for business model innovation.

Cambridge Service Alliance doctoral student, Tim Pearce, explains how his work is contributing to advances in neural networks and how they are starting to help organisations make better decisions.

According to Shep Hyken: "Customers are smarter than ever because they're experiencing great service from certain brands, and those rock-star brands are setting the bar higher for everyone else." In this white paper we explore the 'customer experience paradox' and how firms can use digital platforms to overcome it.

Customer retention plays a critical role in a firm's long-term sustainability. Until recently, however, firms have tended to rely on one-dimensional survey techniques to measure their customers' loyalty. This white paper shows how machine learning can help overcome these limitations.

Research carried out by the Cambridge Service Alliance has shown that widely used methods for gauging customer satisfaction – such as ratings surveys and Net Promotor Scores – do not really tell you what your customers are thinking.