6533b859fe1ef96bd12b82f0

RESEARCH PRODUCT

Experimenting lean dynamic performance management systems design in SMEs

Carmine BianchiGraham WinchFederico Cosenz

subject

Process managementExploitPerformance managementComputer scienceCase studieStrategy and Management05 social sciencesFrame (networking)Insight modelSystem dynamicGeneral Business Management and AccountingSystem dynamicsSmall and micro-firmConceptual frameworkSettore SECS-P/07 - Economia AziendaleTacit knowledge0502 economics and businessSystems design050211 marketingLean dynamic performance managementSet (psychology)Entrepreneurial capabilitie050203 business & management

description

Purpose The purpose of this paper is to frame the potential benefits of lean dynamic performance management (PM) systems for small and micro-enterprises. Such systems may exploit the entrepreneur’s tacit knowledge and build on managerial competencies, by incorporating individual attributes into organisational routines. Design/methodology/approach The paper suggests the use of insight models based on the combination of lean PM tools and system dynamics (SD) modelling. Based on a number of exemplary cases, the paper discusses the potential benefits of these models, in respect to four specific contexts: artisan, new company start-up, established firm and micro-giant company. Related to such contexts, the research identifies: needs or priorities, and obstacles or impediments to pursuing business survival and development. Findings The conceptual framework discussed in the paper discloses a quite original empirical basis to outline lean dynamic PM systems that may provide entrepreneurs with a set of key-performance drivers that help them to prioritise action, in each of the four analysed contexts. Originality/value Growing interest in adopting lean PM models in small and micro-firms appears in the recent PM literature with research highlighting strengths and shortcomings. However, few attempts have been produced to overcome such limitations, while the adoption of SD is relatively new in supporting lean PM system design.

10.1108/ijppm-10-2017-0266http://hdl.handle.net/10447/295788