Mario Binder

Using grounded theory for theory building in operations management research: a study on inter-firm relationship governance

Purpose – Qualitative theory building approaches, such as grounded theory method (GTM), are still not very widespread and rigorously applied in operations management (OM) research. Yet it is agreed that more systematic observation of current industrial phenomena is necessary to help managers deal with their problems. The purpose of this paper is to provide an example to help guide other researchers on using GTM for theory building in OM research. Design/methodology/approach – A GTM study in the German automotive industry consisting of 31 interviews is followed by a validation stage comprising a survey (110 responses) and a focus group. Findings – The result is an example of conducting GTM research in OM, illustrated by the development of the novel collaborative enterprise governance framework for inter-firm relationship governance in the German automotive industry. Research limitations/implications – GTM is appropriate for qualitative theory building research, but the resultant theories need further testing. Research is necessary to identify the transferability of the collaborative enterprise governance concept to other industries than automotive, to other organisational areas than R&D and to product and service settings that are less complex and innovative. Practical implications – The paper helps researchers make more informed use of GTM when engaging in qualitative theory building research in OM. Originality/value – There is a lack of explicit and well-informed use of GTM in OM research because of poor understanding. This paper addresses this deficiency. The collaborative enterprise governance framework is a significant contribution in an area of growing importance within OM.

The importance of collaborative frontloading in automotive supply networks

Purpose – The purpose of this paper is to investigate how research and development (RD it is normally studied within just one organisation. This study has novel value because it has involved a number of different members throughout the supplier network.

A conceptual framework for enterprise management

This paper reports on the theoretical foundations and the practical reasons for the increasing popularity of the enterprise management perspective. Theoretical foundations are given that discuss vertically integrated, virtual and extended enterprises in terms of endogenous and exogenous factors, and the tensions that these create. An exploratory study in the German automotive industry using inductive grounded theory was conducted, involving data collection via 28 semi-structured interviews with 16 companies and data validation via a questionnaire survey receiving 110 responses from 52 companies. The research delivers a conceptual framework to show how enterprise structures emerge, depending on the prevailing type of core competencies that they use. Furthermore, it proposes contingency-planning recommendations to facilitate managing the change from one structure to another as the demands placed upon the enterprise change.

Designing and managing collaborative enterprises in the automotive industry

This paper presents the findings of a recently completed research project. It sheds light upon the appropriate governance of inter-firm relationships, in order to achieve competitive success for the whole partnership and its individual members. An exploratory study in the German automotive industry using inductive Grounded Theory was conducted, in order to form a set of propositions that were then validated. The research has resulted in the consolidation of these propositions into a novel concept termed Collaborative Enterprise Governance, which draws on an inter-disciplinary body of knowledge. The core of the concept is a competence based contingency framework that helps enterprise managers in selecting the most appropriate governance strategy (i.e. enterprise structure) for an inter-firm relationships within automotive supply networks (i.e. enterprises), depending on various exogenous and endogenous factors.

Governing inter-organisational R&D supplier collaborations: a study at Jaguar Land Rover

This article discusses the importance of collaboration with suppliers and partners during research and development (R&D) technology projects. It details how this can be accomplished using the collaborative enterprise governance (CEG) concept to manage a technology project. CEG is based on the premise that parts of companies work with parts of other companies, which are reconfigured on dynamic bases according to a variety of different internal and external factors. This article presents an overview of the founding literature, the CEG and its methodology, and examples based at Jaguar Land Rover in the UK. CEG has been used here to explain why some technology projects have succeeded while others have done less well. This article concludes by offering new propositions, inducted through grounded theory, relating to the successful management of R&D projects, which should be picked up by future research studies in the area.

Benchmarking operations to promote learning : an internal supply chain perspective

Despite the widespread discussion of organisational learning, there is little scholarly contribution on promoting learning through the practical application of management tools. This is especially true in a complex internal supply chain context of an organisation. This paper seeks to address this gap by exploring and analysing the capability of the benchmarking tool to promote learning in the internal supply chain context of a large organisation. A longitudinal in-depth case study of a project that benchmarked the filling and packing internal supply chain with its internal and external interfaces was conducted within the German chemical company BASF. Four key management areas were identified to facilitate learning during a benchmarking project: knowledge management, change management, project management, and leadership. This research proposes a set of propositions combining benchmarking and learning within the context of internal supply chains that are grounded in the empirical data and the extant learning theory.