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The purpose of this article is to analyse the organisation of the Bolivian “water war” in Cochabamba that saw a social movement resist international business and the privatisation of public goods. The implications for the study of resistance in management and organisation studies will be evaluated.

Laclau's discourse theory is used to analyse the organisation of resistance and the establishment of a new discourse of “the people”. A range of primary and secondary data are drawn upon.

The study shows how the resistance movement was successfully organised in Cochabamba, Bolivia. Through various “horizontal” and “vertical” methods of organising, the Coordinadora, the overarching resistance organisation, was able to unite formerly disparate discourses into a single demand. This establishment of a united front was a key element in the formation of the discourse of “the people”, which successfully challenged neo‐liberal privatisation and management discourses put forward by the government, multinational companies and international finance institutions.

The research was primarily focused on studying the discursive shift that occurred during the Bolivian “water war” in 1999 and 2000. The paper was not able to discuss the aftermath of the successful resistance movement, and the various problems the new municipal water organisation ran into after it regained control of the water resources in Cochabamba.

The primary audience of practitioners are participants in social movements that are engaged in resistance struggles against multinational companies and governments. Drawing on the experiences from the Bolivian “water war”, the paper offers a range of practical insights into how to effectively organise resistance movements. This paper might also be useful to policy makers and managers in the area of water management.

This is one of the first papers that analyses the Bolivian “water war” to consider its implications for the study of resistance within management and organisation studies.

The use of rapid prototyping (RP) technologies is becoming increasingly popular due to the reduction of machinery prices. Consequently, more and more industries now have the opportunity to apply such processes to improve their product development cycles. The purpose of this paper is to present different decision‐making approaches to choose an adequate RP process.

Here, four decision approaches are applied to compare six processes regarding six criteria, using the input data from previous works. As a result, six decision methods are compared. Two different scenarios are constructed, where different important attributes are considered, simulating two different prototype applications.

It is demonstrated that not all methods result in the same RP ranking, however, most of them provide the same first option for a given scenario. The characteristics of the methods could be related to their influence on the evaluation, which serve as guidelines for the decision makers in order to reflect their exact opinion or requirements.

Owing to different ways of inputting information into the decision methods, some considerations are made in order to convert as close as possible the RP process attributes and scenario requirements into useful data for each method. In particular, the conversion of scenarios, i.e. the relative importance of the criteria, is somewhat challenging.

Although the fundamentals of the decision methods are presented here, one should be careful while comparing the RP process, because their attributes may vary enormously depending on the parameter process to build a part. Despite all the considerations and precautions to be observed, the selection of the RP process can be done in a simple way, dispensing with complex calculations.

Upcycling is conceptualised as a digital historical research practice aimed at increasing the scientific value of historical data collections produced in print or in electronic form between the eighteenth and the late twentieth centuries. The concept of upcycling facilitates data rescue and reuse as well as the study of information creation processes deployed by previous generations of researchers.

Based on a selection of two historical reference works and two legacy collections, an upcycling workflow consisting of three parts (input, processing and documentation and output) is developed. The workflow facilitates the study of historical information creation processes based on paradata analysis and targets the cognitive processes that precede and accompany the creation of historical data collections.

The proposed upcycling workflow furthers the understanding of computational methods and their role in historical research. Through its focus on the information creation processes that precede and accompany historical research, the upcycling workflow contributes to historical data criticism and digital hermeneutics.

Many historical data collections produced between the eighteenth and the late twentieth century do not comply with the principles of FAIR data. The paper argues that ignoring the work of previous generations of researchers is not an option, because it would make current research practices more vulnerable and would result in losing access to the experiences and knowledge accumulated by previous generations of scientists. The proposed upcycling workflow takes historical data collections seriously and makes them available for future generations of researchers.