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This study aims to analyze how the interplay between hard and soft elements of total quality management (TQM) produces the conditions for sustaining success in the quest for quality.

A qualitative analysis (Gioia method) was carried out on an original dataset collected through both direct and indirect methods (i.e. archival sources, interviews and observations) to generate a new interpretive framework.

The interpretative framework identifies four categories of elements: trigger elements create the starting conditions for a quality virtuous cycle; benchmarking tools set the standards of performance; improvement tools enable exploration of the space of possible alternative practices and finally, catalytic forces allow the institutionalization of effective techniques discovered in this search process into new standards.

The findings the authors present in this paper are derived by a single case study, limiting the generalizability of our results in other settings.

This study has three implications: first, the design of trigger elements is critical for the success of any TQM initiative; second, the interplay of improvement and benchmarking tools at several levels should be coherent and third, to exploit the potential of TQM, efforts should be devoted to the dissemination of new effective practices by means of catalyzing elements.

The model provides a more specific understanding of the nature and purpose of the hard and soft elements of TQM and the dynamic interaction between the two classes of elements over time.

This paper contributes to the debate on the relationship between IT‐artefacts and organisational structuration by describing the dynamics surrounding the collaborative development of an innovative electronic metering system. The aim of the paper is to address a clear gap in the current literature on collaborative IT‐artefacts design, as cooperation at early design stages has barely been analysed. This work tries to understand whether and to what extent the design of an IT‐artefact is driven by the interests of a number of heterogeneous actors and how these are able to affect the artefact's evolution.

The research relies on a case study analysis, which focuses on a consortium of heterogeneous actors (firms, the public sector, research institutes) working within the green energy industry. The research focuses on a workgroup attempting to develop an innovative IT‐artefact: an electronic metering system.

The main results emerging from the field study are: the relevance of each actor's interests as a prevalent rationale for explaining the technical features of the IT‐artefact; the role of negotiation and consensus in determining the final shape of the IT‐artefact in terms of its features; and the bundling/unbundling of IT‐artefact features as a result of changes in the alignment of actors.

The research presents two clear limitations. First, the activities of the workgroup are still ongoing thus limiting some of the insights one may draw from the case study. Second, the analysis is carried out on a single case study. Further analysis should be done to increase consistency and validity of the findings.

Findings indicate that in an open and collaborative environment, the conceptualisation and evolution of an IT‐artefact are influenced more by the political agendas of the various actors rather than by pure technical problems and concerns. The practical implications thus are that every attempt to manage such a collaborative effort must seriously take into consideration these aspects.

Starting from the recognition that little research has been conducted on the factors influencing cooperative IT‐artefact design, this paper sheds new light on how these factors influence such cooperative activity. The authors believe that this kind of work helps lay some foundations for general models attempting to explain cooperative innovation processes such as the open innovation model.

The purpose of this special issue s to cover a substantial range of approach to knowledge management penetrating inquiry that goes beyond intra-organizational learning processes to include inter-organizational perspectives.

As pointed out by the literature on various aspects of the knowledge processes within and between organizations, the work has been organized coherently with two “strains” of topics: the first one focused on managerial practices and operative directions of knowledge management, the other one pointed out on applications of knowledge management to inter-firm networks. Qualitative as well quantitative papers have been welcomed.

Opening up the idea of pluralism as a driving force in the knowledge economy pushes the organizations in a permanent cumulative process of adaptation and re-creation through innovative means of social interaction in global environments.

The dynamic nature of the field is reflected in the fact that this project expanded to encompass emerging works on knowledge models and concepts that grew from conversations within the network.

This special issue aims to extend the current understanding on how diversity of approaches enhances the process of discovery: the authors convey the sense of where the stimulating challenges lie.

The concept of modularity has gained considerable traction in technology studies as a way to conceive, describe, and innovate complex systems, such as product design or organizational structures. In the recent literature, technological modularity has often been intertwined with business model innovation, and scholarship has started investigating how modularity in technology affects changes in business models, both at the cognitive and activity system levels. Yet we still lack a theoretical definition of what modularity is in the business model domain. Business model innovation also encompasses different possibilities of modelling businesses, which are not clearly understood nor classified. We ask when, how, and if modularity theory can be extended to business models in order to enable effective and efficient modelling. We distinguish theoretically between modularity for technology and for business models, and investigate the key processes of modularization and manipulation. We introduce the basic operations of business modelling via modular operators adapted from the technological modularity domain, using iconic examples to develop an analogical reasoning between modularity in technology and in business models. Finally, we discuss opportunities for using modularity theory to foster the understanding of business models and modelling, and develop a challenging research agenda for future investigations.

The purpose of this paper is to call for an in‐depth reflection on Weber's research approach based on the notions of adequate causation and objective possibility.

The paper illustrates the main characteristics and premises of the research approach. It further exemplifies its application through a qualitative study that investigates “How” and “Why” knowledge integration occurs in the creative processes of teams spanning over time and space. In so doing, it argues that Weber's epistemology could remain a valid point of reference to shift from the generation of empirical propositions through qualitative research to the quantitative analysis of empirical regularities recurring into a large number of empirical cases.

This paper shows how Weber's research approach could assist researchers in overcoming the dichotomy between rigour and relevance in qualitative research within organization and management studies.

The work offers new ways of looking at established ideas within organization and management studies, through new lenses as alternative ways of knowing social phenomena available to scholars, to produce theoretical knowledge relevant for and applicable into practice.