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Building on the growing body of research that has addressed management control systems and innovation, the purpose of this study is to assess the extent and nature of the use of controls in an innovative setting and how they work together unveiling the relationships and tensions amongst the Simons’ levers.

This study resorts to an in-depth and single case study in a company that has both a strong orientation to innovation and stable control practices in place. Evidence was collected from 32 interviews, visits to the company and internal documentation.

At the case company, it was possible to find the presence of controls according to all the levers of control. Likewise, joint effects of controls used according to interactive and beliefs approaches and diagnostic and boundary controls showed a consistent reinforcement that push the organization in a single direction. Signs of some countervailing reinforcement between these pairs were also detected, creating tensions. This in general shows that innovation can be weighed against the necessity of goal achievement taking place within fields in which the company can exploit the effort developed.

This study documents the collective use of controls in a context in which innovation is needed and how the combination of the levers of control with their inner workings and tensions allow the company to have a corporate environment of innovation that is friendly.

By designing a pilot time-driven activity-based costing (TDABC) model, this study aims to examine in depth the suitability and the complexity of TDABC in a manufacturing company.

To obtain a deeper understanding on the matters to analyse, this research adopts an interventionist approach. The host organisation is GP, a Portuguese company in the frozen food sector.

The authors’ experience allows them to assert that TDABC is suitable for a manufacturing company and it is able to deal with the variability of the industrial processes. Nonetheless, through a comparison with the models presented in the literature, TDABC appears to be more complex for manufacturing. The authors argue that this happens for two reasons. First, the two types of resources (human labour and machinery) used in production areas create a need to split tasks and to create two equations for each process, something that does not happen in service companies. Second, times are difficult to individualise for certain highly automated procedures, which could also give rise to some errors.

The designed model is compared to other models presented in the literature.

This study shows a real example of TDABC in manufacturing and the procedural innovation of the time equations.

As the TDABC literature has been mostly focused on examples of service companies, the authors examine the technical suitability and the complexity of TDABC in manufacturing companies.

The purpose of this study is to present the evolution of thinking on the role of management control systems (MCSs) in innovation, according to the development of control practices, and to provide a reflection on the achievements of the more recent literature.

This paper assesses articles, books and book chapters that have explored MCSs in innovation, together with seminal works on management accounting and control.

Moving from the traditional phase where MCSs were seen as detrimental to innovation, the literature has now reached a new consensus that attributes a positive role to control. In this recent phase, it arises from the literature that MCSs in the realm of innovation should embrace a multiplicity of controls; MCSs depend on the magnitude and innovation mode of a company; MCSs evolve over time; and that synergies and tensions are expected to arise. Adding these factors to the inherent complexity of innovation, the assertion is that qualitative approaches should be undertaken to infuse the field with more fine-grained evidence. It is also proposed that this methodological approach be used to address the following points: (1) the use of multiple controls; (2) synergies and tensions; and (3) behavioural aspects of controls in relation with innovation.

The paper is of value for researchers who have an interest in studying the use of MCSs in innovation and in qualitative research and proposes some areas of research that could be explored.