Making up performance: the construction of “performance” in venture capital firms’ portfolios

2016 ◽  
Vol 13 (4) ◽  
pp. 445-471
Author(s):  
Rafael Heinzelmann

Purpose The purpose of this paper is to investigate performance measurement practices in venture capital firms. Specifically, the author examines how two organizations make complexity and uncertainty manageable by mobilizing performance measurement. This study draws on the framework of pragmatic constructivism (PC) (Nørreklit et al., 2016; Nørreklit et al., 2006, 2010), focusing on the integration between the four dimensions of PC, namely, facts, values, possibilities and communication. Design/methodology/approach The paper adopts a comparative case study methodology. Findings The findings show that performance measurement practices are strongly influenced by values playing out via integration in actor-world relations, whereas Venture A mobilizes an actor-centric approach, leading to an open, holistic performance measurement system (PMS) which is based on non-financials, a close involvement in operational matters and actors’ judgement using accounting as “learning machines” (Burchell et al., 1980); and Venture B draws on an analytical approach emphasizing on the role of financial indicators and control enacting accounting as “answer machines” and as “tool for computation” (Burchell et al., 1980). These different approaches to PMS, actor-centric vs analytical, are guided by different values about actor-world relation(s). Originality/value The paper provides a context-sensitive account on the relationship between uncertainty and performance measurement practices. First, this paper contributes by providing evidence on how actors use accounting to manage uncertainty and complexity by differently integrating actor-world relation(s) (Nørreklit, et al., 2016; Nørreklit et al., 2006). Second, this study resonates with recent calls for more industry-specific and context-sensitive investigations (Messner, 2016). Finally, the author contributes to the literature asking for more research on the role accounting plays in managing uncertain conditions (Chenhall and Moers, 2015).

2017 ◽  
Vol 5 (1) ◽  
pp. 18-19
Author(s):  
Rafael Heinzelmann

Performance measurement is understood as a corner stone of organizations’ accounting and control function (Chenhall,2003; Merchant & Van der Stede, 2012). In the wake of the relevance lost debate accounting systems have beencriticized for being obsessed with historical financial accounting information making accounting data inadequate fordecision making and insufficiently useful for creating a future alertness in organizations (Johnson & Kaplan, 1987). Inthe aftermath of this, more strategically-oriented accounting systems fostering on the non-financial dimension ofperformance, as most prominently presented by the balanced scorecard, gained increasingly attention by organizationsand accounting scholars (Ax & Bjørnenak, 2005; Nørreklit, 2000, 2003). Yet, there is a substantial body of researchstudying the adoption of MAIs (Management Accounting Innovations) addressing questions of how MAIs such as theBalanced Scorecard travel and change in the course of diffusion and organizational implementation (e.g. Ax &Bjørnenak, 2005; Jones & Dugdale, 2002; Qu & Cooper, 2011). What the literature does not reveal in depth is how dointegrated systems for performance measurement and control comprising financial and non-financial KPIs supportorganizations in handling uncertainty and complexity (Chenhall & Moers, 2015). In this paper, we aim for exploringperformance measurement and control and thus contributing to existing literature by studying how venture capital firmsmobilize ideas of performance measurement and control to handle uncertainty and complexity in their investmentportfolio. More specifically, we investigate two firms of the venture capital industry that use financial and non-financialindicators to manage their portfolio and make decisions. Consequently, this paper addresses the following researchquestions: How do venture capital firms use performance measurement to manage their investment portfolios? And howis “performance” constructed in this context?Exploring how firms from a quite volatile industry use performance measurement is regarded to be interestingfrom various perspectives: First of all, we know little about the link between uncertainty and performance measurement.Second from a theoretical perspective of ActorReality Construction (ARC) there is little empirical evidence on howorganizations construct facts or the factual dimension of accounting and management – facts in the context of ourempirical setting, the venture capital industry, are measures used in the performance measurement system (PMS).Particularly, venture capital firms having a big stake in early phase seed investments, are uncertain in the sense thatattaching a score or a number to a performance dimension of a portfolio company is maybe not that stable over time andambiguous. However, doing the exercise of reviewing each portfolio company according to a dashboard-like PMS givesthe KPIs, despite of their uncertain nature, a factual character. The PMS numbers allow managers to discuss andevaluate “performance” of the portfolio companies in management meetings as well as to make decisions, on forexample, investing additional money, based on the performance facts of the portfolio company. Interestingly, thecombination of “hard” and “soft” numbers – thus, financial and non-financial indicators, plays a pivotal role for VCcompanies in order to be capable to assess “the performance” of the portfolio companies. In other words, it enablesventure capital firms to better take into account the particular organizational contexts of portfolio companies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vieri Maestrini ◽  
Andrea Stefano Patrucco ◽  
Davide Luzzini ◽  
Federico Caniato ◽  
Paolo Maccarrone

PurposeGrounding on resource orchestration theory, this paper aims to study the relationship between the way buying companies use their supplier performance measurement systems and the performance improvements obtained from suppliers, with relationship trust identified as a mediator in the previous link.Design/methodology/approachThe authors design a conceptual model and test it through structural equation modelling on a final sample of 147 buyer-supplier responses, collected by means of a dyadic survey.FindingsResults suggest that the buyer company may achieve the most by balancing a diagnostic and interactive use of the measurement system, as they are both positively related to supplier performance improvement. Furthermore, relationship trust acts as a mediator in case of the interactive use, but not for the diagnostic. This type of use negatively affects relationship trust, due to its mechanistic use in the buyer-supplier relationship.Originality/valueThe authors’ results contribute to the current academic debate about supplier performance measurement system design and use by analyzing the impact of different supplier performance measurement system uses, and highlighting their relative impact on relationship trust and supplier performance improvement. From a methodological perspective, adopting a dyadic data collection process increases the robustness of the findings.


2020 ◽  
Vol 17 (5) ◽  
pp. 727-756
Author(s):  
G.S. Dangayach ◽  
Gaurav Gaurav ◽  
Sumit Gupta

PurposeThe performance measurement system (PMS), recognized as an important tool for rapid improvement, has found wide applications in the larger organizations and has received a lot of research attention in recent past. PMS adoption in SMEs is low even though SMEs have realized its importance and benefits and are now ready to embrace PMS as a tool for improvement. This paper proposes a novel framework, called the footprint framework, for design and implementation of PMS for SMEs. The proposed framework overcomes some of the major barriers to adoption by simplifying the process of design and implementation of PMS.Design/methodology/approachThe theoretical framework was conceptualized and its basis was tested for feasibility using an industry survey. The survey was analyzed using the statistical tools available in the SPSS 24.0 statistical analysis software, and the insights obtained from this analysis were used to shape the proposed framework. The framework was populated for small and medium manufacturing organizations (SMMOs) as a case study. Analytic hierarchy process was used to synthesize the data provided by the survey to build up the proposed framework and its components.FindingsThe footprint framework is a unique framework in the respect that it consists of a set of PMS suited to different company profiles that can be accessed quickly. Any SMMO that desires to determine its future PM requirements has simply to define its probable profile of the future in terms of size, business model and order winner and check the PMS appropriate to that profile from the footprint framework. Thus the SMMO can even prepare for its futuristic PM needs.Research limitations/implicationsThe proposed framework overcomes some of the major barriers to adoption by simplifying the process of design and implementation of PMS. The main advantages of the footprint framework are its simplicity, ease of use, immediate implementation and a built-in knowledge bank.Practical implicationsThis research has proposed a new PMS framework, an out of the box tool that makes it possible for the Indian SMMO to adopt PMS on an instant basis. The footprint framework combines the experience of several researchers and several practitioners to offer a ready-made starter kit that needs no other aid to implement a most appropriate PMS and leverage the industry PM best practices to build the performance measurement knowledge and expertise of the SMMO without going through a protracted learning or training process.Social implicationsThis research has made a novel proposal for a PMS framework by proposing the footprint framework – a PMS framework that is not only an instant, out of the box solution for the SMMOs but also incorporates the know-how to implement the performance measurement complete with information on what to measure, how to interpret and what should be done to improve.Originality/valueThe proposed framework is simple to understand and removes a key barrier of PMS adoption for SMMOs. The user SMMO needs to state its size, business model and order winner from the available options, build up its PMS code, select the matching PMS from the framework and the SMMO is ready to implement the PMS.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Francisco Frederico ◽  
Jose Arturo Garza-Reyes ◽  
Anil Kumar ◽  
Vikas Kumar

PurposeThe purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.Design/methodology/approachThis paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.FindingsDimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.Research limitations/implicationsFrom theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.Practical implicationsPractitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.Originality/valueThis research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Sardi ◽  
Enrico Sorano ◽  
Valter Cantino ◽  
Patrizia Garengo

Purpose Current literature recognised big data as a digital revolution affecting all organisational processes. To obtain a competitive advantage from the use of big data, an efficient integration in a performance measurement system (PMS) is needed, but it is still a “great challenge” in performance measurement research. This paper aims to review the big data and performance measurement studies to identify the publications’ trends and future research opportunities. Design/methodology/approach The authors reviewed 873 documents on big data and performance carrying out an extensive bibliometric analysis using two main techniques, i.e. performance analysis and science mapping. Findings Results point to a significant increase in the number of publications on big data and performance, highlighting a shortage of studies on business, management and accounting areas, and on how big data can improve performance measurement. Future research opportunities are identified. They regard the development of further research to explain how performance measurement field can effectively integrate big data into a PMS and describe the main themes related to big data in performance measurement literature. Originality/value This paper gives a holistic view of big data and performance measurement research through the inclusion of numerous contributions on different research streams. It also encourages further study for developing concrete tools.


2019 ◽  
Vol 25 (7) ◽  
pp. 1647-1672
Author(s):  
Dag Naslund ◽  
Andreas Norrman

Purpose The purpose of this paper is to develop, implement, test and further enhance a framework for measuring organizational change initiatives. Design/methodology/approach The conceptual part of the framework is based on the structured analysis of existing literature. The framework was further developed during an action research (AR) study where the authors developed, implemented, evaluated and improved the measurement system for organizational change initiatives. Findings The academic literature is rich in conceptual articles providing required characteristics of a “good” measurement system and frameworks for how organizations should measure performance. However, academia provides less empirical evidence of how these performance measurement systems can be implemented, evaluated and improved. In this paper, the authors present a study where the developed measurement system has been implemented, evaluated and improved. The results in terms of how the actual framework worked as well as the response from the case organizations are equally positive. Research limitations/implications The framework has been implemented in two different, major change initiatives in one case organization. While the results are truly encouraging, the framework needs to be further tested and refined in more organizations. Practical implications There is a gap between academic perception and practical reality regarding how organizations should measure performance in general as well as measuring organizational change initiatives. The presented, and empirically tested, framework measures both the results of the change initiative (effectiveness) the actual change process (efficiency) as well as the perception of the change initiative and process from different key stakeholders. Originality/value This is the first developed, implemented and further improved measurement system for organizational change which measures both the efficiency and effectiveness of the change initiative (process).


2019 ◽  
Vol 15 (2) ◽  
pp. 231-256 ◽  
Author(s):  
Kati Tuulikki Stormi ◽  
Teemu Laine ◽  
Tuomas Korhonen

Purpose The purpose of this study is to reflect upon the feasibility of agile methodologies, Scrum in particular, to supplement the procedural design and implementation of performance measurement systems (PMS). Design/methodology/approach The study is an interventionist case study that applied agile methodologies in the PMS development. Researchers actively participated in the PMS development, e.g. researchers designed some of the performance measurement prototypes in order to facilitate the agile development. Findings The study outlines an agile approach suitable for PMS development. The paper answers the topical needs for adaptability and agility in management accounting, by applying agile methodologies into PMS development. PMS development does not take place only as a project or process that systematically progresses from the measure selection to measure implementation. Instead, as the requirements for the PMS change during the development project, management may reject some measures and new measures emerge as the understanding about changing situations increase. Agile methodologies are a methodological way to respond to the inevitable change and to enhance management accounting adaptability. Research limitations/implications This study contributes to the PMS literature by proposing that agile development methodologies can advance organizational features that increase management accounting adaptability. As a result, the study proposes a new approach for PMS development to supplement existing ones. Agile methodologies are especially suitable for extending the PMS in new, yet relatively immature areas of performance measurement. The new approach applies Scrum principles in PMS development. By drawing from the theories of performance measurement (system) development and enabling PMS, the paper furthers academic understanding about agile development of accounting information systems. Practical implications Companies can use the proposed approach in PMS development, particularly after the initial system implementation in redesigning the system. The approach may increase the PMS impact in organizations and prevent PMS implementation failures. Originality/value The paper identifies the potential of using agile methodologies to enhance PMS adaptability and provides preliminary evidence of the potential of such approach in supplementing processual PMS development frameworks.


2017 ◽  
Vol 37 (9) ◽  
pp. 1207-1228 ◽  
Author(s):  
Marisa Smith ◽  
Umit Sezer Bititci

Purpose The purpose of this paper is to recognise the importance of the interplay between performance measurement, performance management, employee engagement and performance. However, the nature of this phenomenon is not well understood. Analysis of the literature reveals two dimensions of organisational control, technical and social, that are used to develop a conceptual framework for studying this phenomenon. Design/methodology/approach The authors conducted explorative action research involving pilot and control groups from two departments of a UK bank. Findings The authors show that an intervention on the social controls has led to changes in technical controls of the performance measurement system resulting in significant improvement in employee engagement and performance. Research limitations/implications The research was undertaken with two cases from a single organisation. Further fine-grained, longitudinal research is required to fully understand this phenomenon in a wider range of contexts. Practical implications The paper contributes to the theory on performance measures and gives guidance on how organisations might design their performance measurement systems to enhance employee engagement and performance. Originality/value The study makes three contributions. First, the authors introduce a new theoretical framework based the organisational control theory providing a basis for future research. Second, through nine propositions, the authors establish a causal relationship between performance measurement, performance management, employee engagement and performance. Third, the authors identify a gap in knowledge concerning the design of organisational controls in the context of the process that is being managed.


2015 ◽  
Vol 19 (1) ◽  
pp. 24-32 ◽  
Author(s):  
George Huber

Purpose – The purpose of this paper is to explain how an organization’s performance measurement system can influence the appropriateness of an organization’s responses to threats. Design/methodology/approach – Inductive and deductive reasoning, drawing on major theories and on empirical findings in the management literature. Findings – An organization’s performance measurement system can influence the effectiveness of the organization’s detections of threats and the appropriateness of the organization’s responses to threats and, in these ways, contribute to the organization’s robustness and sustainability. Practical implications – Formation of an appropriate performance management system can prove critical to both detection of and responses to organizational threats. As such, an organizational performance management system can contribute to organizational robustness and sustainability. Originality/value – The idea, that an organization’s performance measurement system can influence the effectiveness of the organization’s detections of threats and the appropriateness of the organization’s responses to threats, is not articulated in the management literature. Thus, the research reported here is original and would seem to have value to the research community, the organization design community (as an organization’s control systems are an important component of its architecture), and the management community.


2016 ◽  
Vol 36 (10) ◽  
pp. 1182-1200 ◽  
Author(s):  
Jukka Pellinen ◽  
Henri Teittinen ◽  
Marko Järvenpää

Purpose The purpose of this paper is to extend the knowledge of the use of performance measurement systems (PMS) in situations where the benefits of both vertical and horizontal integration strategies are sought simultaneously. Design/methodology/approach This is a single case study, the purpose of which is to build a contextual theory. Findings The main results highlight three competing and partly contradictory tendencies in the development and use of PMS in organizational integration. In addition, the authors have identified features of PMS that may benefit or hinder integration. Grounded on empirical findings the paper presents a more complete theoretical framework of PMS for integration. Research limitations/implications The propositions of the framework need to be tested in different contexts with case and field studies or a large sample of data using statistical techniques to improve external validity. The causal relationships explored in this study may be further developed using longitudinal studies. Practical implications In acquisition situations there exists the need for vertical integration to control the growing complexity but at the same time for horizontal control to advance customer-centred production. Performance measurement is the key issue to examine the execution and results of such integrations. Originality/value Case study findings are used to develop a more comprehensive theory of PMS design and use in situations where both vertical and horizontal integration are sought. Contrary to current understandings, the central statement of this study is that horizontal organization is not an alternative to vertical organizational structure but they can be effectively coupled.


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