Comprehensive performance measurement systems design and organizational effectiveness

Developing SME performance management practices: interventions for improving productivity

Purpose

The paper is a proof of concept (PoC) intervention study aimed for developing performance management (PM) practices in manufacturing small and medium-sized enterprises (SMEs) with the longer-term aim enabling the SMEs to improve their productivity. The intervention was designed and deployed by a collaborative quartet of academics, management consultants, accountancy firm and a commercial bank manager.

Design/methodology/approach

The paper firstly musters a set of initialising PM practices aligned to productivity improvement. These are utilised to design a knowledge transfer intervention for deployment with a set of manufacturing SMEs incorporating some associated productivity tools. The evaluation of the intervention utilised a case study approach founded on a logic model of the intervention to assess the development of the PM practices.

Findings

The intervention contributed to a partial development of the mustered practices and the productivity diagnostic based on the multi-factor productivity (MFP) abstraction and a data extraction protocol had the strongest impact. The study revealed the importance of the three interlaced factors: Depth of engagement, feedback opportunities and the intervention gradient (the increase of independent action from the participating SME's and the diminishment of the external intervention effort).

Research limitations/implications

The case study is based on a limited number of individual SME's, and within just the manufacturing sector.

Practical implications

SME businesses will require a more sustained programme of interventions than this pilot to develop PM capability, and depth of engagement within the SME is critical. Professional stakeholders can be utilised in recruitment of firms for intervention programmes. Business can start developing PM capability prior to PMS implementation using the tools from this programme.

Originality/value

The productivity diagnostic tool, based on a synthesis of MFP and the performance pyramid, an array of potential initialising practices for PM capability and discovery of potential mechanisms for PM practice development.

Rethinking organizational performance management: a complexity theory perspective

Purpose

Traditional approaches to organizational performance management that emphasize objectivity, control and predictability are rapidly losing relevance in an environment characterized by increasing levels of complexity and dynamism. This paper draws on complexity theory to suggest a new paradigm for managing performance in organizations.

Design/methodology/approach

The paper draws on the common features of complex systems and the corresponding concept of emergence to revisit key themes in organizational performance management and propose a set of implications for research and practice.

Findings

Understanding organizations as complex systems and performance as an emergent property of such systems leads to a set of new research questions, the adoption of alternative methods and the formulation of novel propositions. It also has various implications for both academic research and managerial practice, from moving away from the traditional notion of organizational alignment to adopting a more explicit stakeholder-based view in the design and use of measurement systems.

Originality/value

The paper highlights the great potential of complexity theory for addressing contemporary issues in the field of organizational performance management and charting the landscape for its future development.

Performance measurement and management systems for dealing with strategies in uncertain ecosystems

Purpose

Although there is a growing research stream on Performance Measurement and Management Systems (PMMS) in Ecosystems literature, current research offers limited theoretical insights into how PMMS deal with two types of strategies in uncertain ecosystems: ecosystem-based strategy – EBS (at the focal firm level) and ecosystem strategy – ES (at the ecosystem level). This study aims at identifying how PMMS are employed to deal with different types of strategies in uncertain ecosystems.

Design/methodology/approach

The authors employed an inductive, rich multiple case approach in five focal firms with platform ecosystems. Data collection involved multiple sources of information (primary and secondary data), combing retrospective and longitudinal perspectives. Data analysis combined replication and comparison logic with coding.

Findings

This study identifies four major distinctive dimensions of Ecosystem PMMS under uncertainty: (1) Integrative Performance (considering the different ecosystem actors’ performance), (2) Interdependence Performance (mutual, yet not necessarily convergent amongst ecosystem partners), (3) Regulative Performance (paradoxical in nature, having to cope with both flexibility and stability) and finally (4) Phased Learning Performance (non-linear).

Research limitations/implications

Our primary contribution is a new framework for PMMS literature: a performance measurement and management system for dealing with strategies in ecosystems. This framework enables managing performance regarding both types of strategies (EBS and ES) and their interplay in uncertain ecosystems.

Practical implications

The ecosystem management requires focal firms to measure and manage the overall ecosystem’s performance, and it varies according to the type of strategy adopted in each case. Our framework provides dimensions that guide firms to build and implement PMMS for an ecosystem consistent with the ES. Therefore, it may improve performance, especially in uncertain business contexts.

Originality/value

The findings enrich PMMS literature in an ecosystem context related to the ES in uncertain environments.

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.

The role of performance measurement in aligning operations with strategy: sustaining cognitive processes of internal alignment

Purpose

This paper aims to address an important theoretical shortcoming in the conceptualization of internal alignment by investigating the cognitive processes involved in aligning operations with strategy and the role of performance measurement (PM) in sustaining these processes.

Design/methodology/approach

A theory-building study investigates the process of using PM to drive the implementation of a new strategy in a large beer manufacturer in Italy. The study uses a sensemaking perspective to theorize the findings. Data were collected through semi-structured interviews, field observations and company documents.

Findings

This study develops a theoretical model suggesting that establishing and maintaining internal alignment occurs through seeking, assembling, adjusting and finalizing the meaning of how strategic priorities inform local action. PM plays a central role in this process by providing interpretive support.

Research limitations/implications

This article advances a cognition-centred view of internal alignment that complements the behavioural aspect of the phenomenon emphasized in prior literature.

Practical implications

Using PM for aligning operations with strategy is a complex and iterative process that requires time and effort and generates temporary stability. Managers may need to complement traditional approaches to alignment with providing space for sensemaking.

Originality/value

The paper proposes a view of internal alignment as an ongoing interpretive process that is sustained by PM. This process brings about the consistency of meanings that generates strategy-consistent behaviours.

Enhancing sustainable supply chain management performance through alliance portfolio diversity: the mediating effect of sustainability collaboration

Purpose

While strategic alliances is a concept increasingly discussed in the field of sustainable supply chain management (SSCM), an emerging and more crucial concept regarding alliances—namely, the alliance portfolio—is mostly ignored in the SSCM context. Mainly drawing on the categorisation–elaboration model (CEM), this research develops a three-layer model to explore the effects of three alliance portfolio diversity facets on the three triple-bottom-line SSCM performances through the mediation of sustainability collaboration.

Design/methodology/approach

The field data are collected from 321 Vietnamese manufacturers. Scale accuracy is assessed through the confirmatory factor analysis method. Hierarchical linear regressions are applied to test the proposed model and hypotheses.

Findings

Partner, governance, and functional alliance portfolio diversities have a U-shaped, inverted U-shaped, and positive linear effect, respectively, on sustainability collaboration. Sustainability collaboration is in turn found to enhance the SSCM performances in terms of economic, environmental, and social.

Originality/value

This research introduced a new theoretical lens, CEM, to the SSCM field. It also provided findings that can help firms to manage their alliance portfolios more dynamically in terms of the nature and diversity level of the portfolio and in a way that adds to the triple bottom line through the mediating effect of sustainability collaboration.