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David S. Bedford

Researcher at University of Technology, Sydney

Publications -  29
Citations -  982

David S. Bedford is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Management control system & Private equity. The author has an hindex of 9, co-authored 23 publications receiving 676 citations.

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Management control systems across different modes of innovation: Implications for firm performance

TL;DR: In this paper, the authors examined the use of management control systems across different modes of innovation and the effects on firm performance and found that the patterns of use and interdependencies among control levers associated with enhanced performance differ depending on the mode of innovation.
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Management control effectiveness and strategy: An empirical analysis of packages and systems

TL;DR: Using data from a survey of top managers the analysis reveals that there are multiple ways by which firms can effectively combine MC practices in a given strategic context and shows that not all MC practices found to be relevant in isolation are relevant when examined simultaneously as a package.
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Configurations of control: An exploratory analysis

TL;DR: From a cross-sectional sample of 400 firms, this study presents an empirically derived taxonomy of five control configurations used by top managers, labelled as simple, results, action, devolved, and hybrid.
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Performance measurement systems as generators of cognitive conflict in ambidextrous firms

TL;DR: This article explored the role of cognitive conflict, generated by performance measurement systems (PMSs), in shaping the relationships between competence ambidexterity and innovation amelioration.
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Construct Validity in Survey-Based Management Accounting and Control Research

TL;DR: Four areas where greater attention is warranted are identified: specifying construct dimensionality, justifying the choice of the measurement model, distinguishing between causal indicators and composite indicators in formative measurement models, and being judicious in the use of single item measures.