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This paper aims to analyse performance measurement ambiguities in hybrid universities. In accounting research, performance measurement of universities has been discussed in detail, and there is some research on impacts of hybridity in institutional systems. However, there is a particular need in accounting research for more sophisticated theorizations of the ambiguities associated with measuring performance in hybrid organizations. Moreover, there is a dearth of accounting-related interdisciplinary studies conceptualizing the hybridity of universities with important implications for measuring and reporting performance. This paper fills this research gap by providing more elaborate basis for conceptualizing performance measurement ambiguities through the lenses of hybrid universities.

The authors critically scrutinize the promise of performance measurement in hybrid universities and explore why it may result in new policy problems. Questions asked are as follows: How can we better understand those institutional mechanisms through which the promise of performance measurement may ultimately result in new forms of ambiguities and unexpected outcomes, and what are the specific characteristics of hybridity that make those mechanisms possible in universities?

The authors propose a conceptual model for studying universities in hybrid performance settings. The model provides a new inter-disciplinary approach for conceptualizing performance measurement ambiguities in universities when they are influenced by hybridity, hybrid arrangements and hybrid governance.

This paper provides more elaborate basis for understanding hybridity of universities, not only through reforms for combining business, government and collegial professional logics (e.g. corporatization, marketization) or through new hybrid mixes of professions but also as a more comprehensive, inter-disciplinary understanding of institutional structures, logics and practices at modern universities.

This paper presents a systematic literature review aiming at analysing how research has addressed performance measurement systems’ (PMSs) ambiguities in the public sector. This paper embraces the ambiguity perspective that PMSs in public sector coexist with and cope with existing ambiguities.

The authors conducted a literature review in Scopus and ScienceDirect, considering articles published since 1985, and the authors selected articles published in the journals included in the Association of Business Schools' Academic Journal Guide (Chartered ABS, 2018). Of the 1,278 abstracts that matched the study’s search criteria, the authors selected 131 articles for full reading and 37 articles for the final discussion.

The study's key findings concern the elements of ambiguity in PMSs discussed in the literature. The study’s results suggest that ambiguity is still a relevant problem in performance measurement, as a problem that is impossible to be solved and therefore needs to be better understood by researchers and public managers. The analysis allows us to summarize the antecedents and consequences of ambiguity in the public sector.

The key findings of the study concern the main sources of ambiguity in PMSs discussed in the literature, their antecedents and their consequences. The study results suggest that ambiguity exists in performance measurement and that is an issue to be handled with various strategies that can be implemented by managers and employees.

Managers and researchers may benefit from this research as it may represent a guideline to understand ambiguities in their organizations or in field research. Researchers may also benefit from a summary list of the key issues that have been analysed in the empirical cases provided by this research.

This research may provide insights to limit ambiguity and thus contribute to improve performance measurement in the public sector.

This research presents a comprehensive review on the topic. It provides insight that suggests what future research should attend to in helping to interpret ambiguity, considering also what should be done to influence ambiguity.

Drawing on transaction cost economics (TCE) theory and organizational information processing theory (OIPT), this study investigates how the alignments between the characteristics of service (i.e. task complexity and measurement ambiguity) and governance mechanisms (i.e. contract specificity and monitoring) can affect service performance.

The paper uses a rigorously designed survey to collect data from professionals who manage service outsourcing contracts in various industries. The respondent pool consists of randomly selected members of the Institute of Supply Management (ISM). The authors’ research question is analyzed using 261 completed and useable responses. Structural equation modeling is adopted to examine the data and test the proposed hypotheses.

The authors find that both contract specificity and monitoring have a positive impact on supplier performance. Further, for high task complexity services, contract specificity is more effective than monitoring, and for high measurement ambiguity services, the opposite is true. Moreover, the effect of contract specificity is mediated by monitoring.

Service outsourcers should use both contract specificity and monitoring in governing outsourced services and know that the former depends on the latter during execution. Facing resource constraints, they can prioritize crafting detailed contract provisions over implementing monitoring for highly complex services but consider monitoring as the primary governance tool in services whose outcomes are difficult to measure.

This study is the first to couple TCE with OPIT and consider the nature of outsourced services in the choice of governance mechanisms and empirically test the simultaneous effects of contract specificity and monitoring in the context of service outsourcing.

Humanitarian supply chain (HSC) has been constantly challenged with multiple issues due to the complex dynamics of the disaster. These issues are inevitable and interrelated. The issues produce undesirable cascading effects that make performance measurement complicated. This paper aims to identify and model the critical barriers in the HSC.

The study identifies 17 barriers through the relevant literature and interviews with the stakeholders related to humanitarian organization (HO) in the developing economy. The barriers have been identified from strategic, technological, organizational, economic and operational point of view. Further, the barriers were ranked based on the degree of influence using the grey analytic network process (ANP) approach. The interrelationship among the influential barriers is established through modified total interpretive structural modelling (mTISM). To analyse and demonstrate the iterative consensus among the stakeholders, kappa statistics was adopted.

The barriers have been ranked to determine their extent of influence and modelled to reveal the interrelationship among them. The issues concerned with skills of personnel are the most influential barrier. Other three critical barriers identified are: chaotic operative environment, conflicting objectives of HO and lack of funding for information technology (IT) infrastructure. Appropriate funds need to be allocated towards IT infrastructure and personnel training.

Both quantitative and qualitative performance measurement frameworks had been proposed earlier for HSC. However, limited literature addresses the implementation issues with the available frameworks. This study advances the knowledge on performance measurement barriers of HSC and develops a functional description to identify the critical role of performance measurement in HOs. The study proposes a new version of the interpretive structure modelling, using mTISM technique, to determine the contextual interactions between various HSC performance measurement barriers.

The purpose of this paper is to highlight and compare insights from research conducted in different disciplines on the effects of the use of calculative practices in academia. It also acts as an introduction to the special issue on “governing by numbers: audit culture and contemporary tales of universities’ accountability”.

This paper reviews the findings and reflections provided in academic literature on the various types of consequences stemming from the diffusion of the “audit culture” in academia. In so doing, it draws upon insights from previous literature in education, management and accounting, and other papers included in this special issue of Qualitative Research in Accounting and Management.

The literature review shows that a growing number of studies are focussing on the hybridization of universities, not only in terms of calculative practices (e.g. performance indicators) but also in relation to individual actors (e.g. academics and managers) who may have divergent values, and thus, act according to multiple logics (business and academic logics). It highlights many areas in which further robust academic research is needed to guide policy and practice developments in universities.

This paper provides academics, regulators and decision-makers with relevant insights into the critical issues of using calculative practices in academia. Despite the negative effects have been observed in various disciplines, there is an evident perpetuation in the use of those practices.

This paper contributes to the ongoing debates on the disillusion of calculative practices in academia. Yet, positive changes can be achieved within the complex settings of “hybrid” universities when the apparent class division between academics and managers is bridged.

The purpose of this paper is to present an emergent model showing the change potential inherent in the mirroring of time‐space bound metrics and numbers in management accounting (MA) and other cognitive frames.

An observation‐based qualitative field study of a change project in a large manufacturing company is used as the basis for the analysis.

The empirical study shows that as actors recurrently mirror time‐space bound metrics/numbers in MA and other cognitive frames, three forms of ambiguity may occur. Definitional ambiguities occur as actors' extant MA frame cannot fully account for the metric as such, while representational ambiguities occur as actors perceive uncertainties as to what a particular number stands for “in reality”. Operational ambiguities, finally, occur as actors perceive uncertainties as to how time‐space bound numbers can be “causally” explained. In the emergent model, the paper shows how these different forms of ambiguity constitute important sources of critical and collective reflection of, and subsequent change in, both metrics and MA and other cognitive frames.

Through identifying and elaborating on the change potential inherent in the interplay between cognitive frames and time‐space bound metrics and numbers, the study adds a partial, yet previously largely unexplored answer to the paradox of embedded agency in a MA context (i.e. how actors may change existing cognitive (MA) frames when their interpretations and actions are largely constrained and shaped by these very frames). Also, the study shows that it may not necessarily be the content of MA information per se that triggers critical reflection and structural MA change, but also the perceived ambiguities that such information use may engender.

This paper aims to investigate the role of affect and tolerance of ambiguity on ethical decision-making of management and accounting students.

Weisbrod’s (2009) questionnaire on ethical decision-making in individual and organizational situations, McDonald’s (1970)16-factor questionnaire on tolerance of ambiguity and Watson et al.’s (1988) Positive and Negative Affect Schedule were used to study the students’ views toward research hypotheses. The population used in this study includes graduate and PhD students of accounting and management during the academic year 2014-2015. The number of samples is 398 and sample members selected using simple random sampling method. Hypotheses test using structural equation modeling in the AMOS software version 18.

Results of hypotheses shows that individual characteristics of positive and negative affect and tolerance of ambiguity have no effect on accounting students’ ethical decision-making, but there is a significant positive relationship between management students’ negative affect and ethical decision-making, and a significant negative relationship between management students’ increased level of tolerance of ambiguity and ethical decision-making. The findings also show that affect (positive and negative) and tolerance of ambiguity have no interactive effect on accounting students’ ethical decision-making, whereas among students of management, there is a significant relationship between interactive effect of negative affect and tolerance of ambiguity on ethical decision-making. The results show that there is a significant difference between students of management and accounting based on negative effects and tolerance of ambiguity on ethical decision-making.

The current paper is almost the first paper which was conducted in developing countries.

The aim of the research is to investigate the influence of emotional attitudes towards change on managers' tolerance of ambiguity.

A total of 70 CEOs of Greek IT firms completed questionnaires examining tolerance of ambiguity, emotional attitudes towards change ambiguity and job satisfaction. Principal components analysis and ordinary regression analyses were used to explore the hypotheses.

The paper finds that three factors characterize managers' emotional attitudes towards change, namely dominance, arousal, and pleasure. Furthermore, it indicates that job satisfaction can be taken as a critical intervention variable that “energizes” managers' arousal (i.e. stimulation, excitement and frenzy) which, in turn, influences their tolerance of ambiguity.

Deeper and broader level of research is necessary in Greek IT industry regarding the influence of emotional attitudes on tolerance of ambiguity. Likewise, this research should be expanded to other industries.

The findings provide further support on the significance of emotional attitudes during change and the paper suggests policies to enhance managers' tolerance of ambiguity.

The originality of this study lies in the finding that job satisfaction energizes the arousal factor, which, in turn, influences significantly managers' tolerance of ambiguity. Another important contributing factor is that the study is carried out in Greece, where few studies have been conducted in this area.

In many countries, governmental organizations decentralized their organization structures, leading to an increased relevance of performance information. This paper identifies two approaches to measure performance in the not‐for‐profit sector: an output‐focused and a throughput‐focused approach. Furthermore, the paper sets a contingency framework concerning the applicability of these two approaches. The two most important contingent variables, i.e., whether output can be identified and whether activities are repetitive, determine the possibilities to apply the two approaches. If it is possible to apply both approaches, the ambiguity of organizational objectives, the hierarchical position of information users and the relevance of efficiency and quality are additional contingent variables that influence the approach to assess performance. Finally, the paper identifies how the approach to measure performance relates to management control types. If none of the two approaches is applicable, the organization has to rely on a management control type without an explicit system to measure performance, i.e., political or judgmental control. Routine or trial‐and‐error control fit with both approaches to measure performance. Expert and intuitive control are control types that rely on output‐based approaches to measure performance.

The coupling process between the loading mechanism and the tank car mouth is a crucial step in the tank car loading process. The purpose of this paper is to design a method to accurately measure the pose of the tanker car.

The collected image is first subjected to a gray enhancement operation, and the black parts of the image are extracted using Otsu’s threshold segmentation and morphological processing. The edge pixels are then filtered to remove outliers and noise, and the remaining effective points are used to fit the contour information of the tank car mouth. Using the successfully extracted contour information, the pose information of the tank car mouth in the camera coordinate system is obtained by establishing a binocular projection elliptical cone model, and the pixel position of the real circle center is obtained through the projection section. Finally, the binocular triangulation method is used to determine the position information of the tank car mouth in space.

Experimental results have shown that this method for measuring the position and orientation of the tank car mouth is highly accurate and can meet the requirements for industrial loading accuracy.

A method for extracting the contours of various types of complex tanker mouth is proposed. This method can accurately extract the contour of the tanker mouth when the contour is occluded or disturbed. Based on the binocular elliptic conical model and perspective projection theory, an innovative method for measuring the pose of the tanker mouth is proposed, and according to the space characteristics of the tanker mouth itself, the ambiguity of understanding is removed. This provides a new idea for the automatic loading of ash tank cars.