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This article investigates the implementation of a compliance programme (CP) in terms of how practitioners conceive of and execute the responsibilities arising from this corporate governance mechanism.

This study involves a practice lens approach forms the case study analysis and interpretation, involving both interviews and documentary materials collected from an Italian company with prolonged compliance experience. Schatzki's (2002, 2010) practice organisation framework guides the interpretation of CP as a practice organised by rules, practical and general understandings and teleoaffective structures.

CP practice evolves over time. A practical understanding of daily actions required to accomplish the CP and a general understanding of the responsibilities connected with the CP, such as the attitudes with which the CP is performed, are mutually constitutive and jointly favour this evolution. Dedicated artefacts – such as IT platforms, training seminars and compliance performance indicators – help spread both of these types of understanding. These artefacts also align practitioners' general understanding with the CP's teleoaffective structures imposed, including the CP's assigned objectives and the desired reactions to them.

The findings have theoretical and practical implications by revealing the relevance of practitioners' understanding of corporate governance mechanisms in their implementation processes.

This study reveals the potential benefits of practice lens approaches in corporate governance studies. It responds to the call for qualitative studies that demonstrate corporate governance as implemented in daily activities.

The purpose of this paper is to investigate the relationship between auditor characteristics and the level of tax avoidance in an emerging market.

In this regard, the effect of various factors such as auditor tenure, auditor industry specialization, audit reports and audit fees on tax avoidance was examined. The study sample includes listed companies in the Tehran Stock Exchange. The time period of study is six years from 2011 to 2016. Also in this study, firm size, leverage, firm age and auditor size were controlled.

The results of this research were determined in four hypotheses. First and second hypotheses that explore the relationship between auditor tenure and auditor industry specialization with tax avoidance were not confirmed. But the results showed a significant relationship between the type of audit opinions and audit fees with tax avoidance.

The current study investigates the auditor characteristics on tax avoidance in a developing nation of Iran and the results may helpful the developing countries.

This paper aims to present a summary of the performance measurement and evaluation plan of the Wyoming connected vehicle (CV) Pilot Deployment Program (WYDOT Pilot).

This paper identified 21 specific performance measures as well as approaches to measure the benefits of the WYDOT Pilot. An overview of the expected challenges that might introduce confounding factors to the evaluation effort was outlined in the performance management plan to guide the collection of system performance data.

This paper presented the data collection approaches and analytical methods that have been established for the real-life deployment of the WYDOT CV applications. Five methodologies for assessing 21 specific performance measures contained within eight performance categories for the operational and safety-related aspects. Analyses were conducted on data collected during the baseline period, and pre-deployment conditions were established for 1 performance measures. Additionally, microsimulation modeling was recommended to aid in evaluating the mobility and safety benefits of the WYDOT CV system, particularly when evaluating system performance under various CV penetration rates and/or CV strategies.

The proposed performance evaluation framework can guide other researchers and practitioners identifying the best performance measures and evaluation methodologies when conducting similar research activities.

To the best of the authors’ knowledge, this is the first research that develops performance measures and evaluation plan for low-volume rural freeway CV system under adverse weather conditions. This paper raised some early insights into how CV technology might achieve the goal of improving safety and mobility and has the potential to guide similar research activities conducted by other agencies.

The purpose of this paper is to explore the concept of pensionomics as a prospective tool for pension evaluation. This paper suggests a paradigm shift – a multi-disciplinary synthesis of differing perspectives in evaluating pension’s overall performance based on past work on pension evaluation – incorporating non-economic variables with significant impact on economic growth and social development.

This paper suggests a new analytical tool called “Pensions Consistency (PC) Index” that identifies the level of consistency and the strengths and weaknesses within any pension system. The new conceptual framework focusses on building inter-sectoral and holistic policies able to respond to the new multi-dimensional dynamic environment.

The consideration of pensionomics concept as an evaluation tool for pension schemes provides insights that are helpful in explaining performance differentials. Taking definition, classification and evaluation as a guiding principle, the new conceptual framework can be a useful point of reference for the overall evaluation of pension schemes, revealing deficiencies that traditional evaluation methods cannot detect. The multi-disciplinary approach focusses on building inter-sectoral and holistic policies that are able to respond to the multi-dimensional uncertainties of the new dynamic environment.

The heterogeneity and complexity in event dynamics are systemic in the sense that the impact is far from linear. The idiosyncratic nature of unexpected and unpredictable events is rather a result of multi-dimensionality based, among others, on magnitude, frequency, timing, intensity and impact. It is plausible to argue that crisis episodes can destabilize critical systems of economic activity, producing economic spillovers that can directly or indirectly affect the sustainability of pension schemes. If the calculation of direct economic impact is readily traceable, the estimation of indirect economic impact can be an onerous task.

Pensionomics places the concept of retirement in a multi-disciplinary context. Pensionomics overcomes theoretical and empirical limitations encountered by the path-dependency perspective, developing a new research agenda to study pension schemes under historical, cultural, social, political, economic, political and environmental prism. Integrating diversified data, techniques, perspectives and concepts, pensionomics’ objective is to connect natural and man-made events with social protection mechanisms for the development of a dynamic social protection framework where individual, community and society needs are met effectively and efficiently by implementing tailored policies, closely related to their specific context.

The concept of retirement has evolved constantly, transforming societies and shaping both income and non-income dimensions of well-being. Pension entitlement turned gradually from a political discourse to a human right discourse. Pension schemes have extended the scope of insurance coverage beyond labour markets and the lifecycle, supporting the broader needs of entire population. Furthermore, pension schemes are widely acknowledged as drivers of economic growth: they enhance labour productivity; foster smooth consumption; and create a stable economic environment for investment and innovation. Current expectations require pension schemes to adopt proactive and reactive policies to examine options for mitigation or for modification of potential consequences in anticipation of exceptional events.

This paper suggests a paradigm shift, a multi-disciplinary approach called pensionomics, and this “multi-disciplinary” focus builds a new analytical framework to evaluate pension’s overall performance based on past work on pension evaluation, incorporating non-economic variables with significant impact on economic growth and social development. PC-Index introduces a comprehensive evaluation tool to study the coverage, performance, efficiency, effectiveness, current trends and future possibilities of pension schemes.

The purpose of this paper is to describe a range of innovative (for public library performance measurement and impact assessment) methods and tools developed by country teams as part of the Global Libraries (GL) initiative. Short reports are provided on: a return on investment study, a simplified data processing system for library managers and an online reporting system for public libraries in Ukraine; a study of the public image of Polish libraries in print mass media, two approaches to sustainability of performance measurement and impact assessment in Romania, through tools to conduct pop-up surveys and use of agricultural subsidies support data, assessments of changes in public library managers’ planning efforts in Poland and of their perceptions of libraries and their own role, using Modified Delphi forecasting, in Lithuania, two ways of focussing on the world of public library users by engaging non-profit organizations in library research in Poland and conducting impact studies in virtual environments in Chile.

A range of methods and tools and their uses are described.

No specific research findings are reported.

All of these tools and methods have been (or are being) trialed in national public library contexts; some have been developed over several years.

Useful for people in other (non-GL) countries who may be contemplating public library evaluation at regional, national or local level or who are interested in performance measurement and impact evaluation.

This paper is part of a GL effort to share what participants have learnt about impact planning and assessment in public libraries with the wider international libraries community.

The impact planning and assessment program of GL has been the largest sustained international public library evaluation program so far attempted. This paper reports on the more innovative evaluation activities undertaken at country level through this program.

The purpose of this paper is to report on performance measurement and impact assessment progress made in 14 countries as part of the Global Libraries initiative, starting with the early country grants in Mexico and Chile. For the mature grants in Bulgaria, Botswana, Poland, Romania, Ukraine and Viet Nam which were recently completed or are approaching completion, the nature of the country program is outlined, before the impact assessment work is described and some recent results and conclusions are reported. A similar approach is adopted with pilot and new grants in Colombia, Indonesia, South Africa, Turkey and Lithuania.

The country reports are presented as a series of case studies, in some cases supplementing those in an earlier special issue of this journal.

Where appropriate, recent country-specific survey findings are reported.

This paper shares Global Libraries IPA learning at country level with people in other countries who may be contemplating public library evaluation at regional, national or local level or who are interested in performance measurement and impact evaluation.

These cases studies reflect concentrated impact assessment and performance measurement work at country level across a range of countries over more than 12 years.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

The purpose of this paper is twofold: to provide a clear picture on the cognitive biases affecting managers’ decision-making process of implementing a performance management system (PMS), and to identify managerial practices, measures and the key challenges to manage the cognitive biases in the corporate strategy.

Semi-structured interviews, based on theoretical milestones of performance management and cognitive psychology, gathered from 104 experienced professionals’ evaluations on the likelihood and impact of managers’ cognitive biases in PMS implementation, potential solutions as well as drivers and connected criticalities.

Recurring cognitive biases, together with considerable impacts, emerged in the first, and most strategic, phases of the PMS implementation. The authors developed a roadmap to support corporate transition to integrate behavioral strategy into the PMS implementation aiming to achieve economically and efficiently sound performance.

From the view of proper behavioral strategy affirmation in performance management literature, in a small way, the authors contribute to a desirable taxonomy of cognitive biases so differentiated decision-making scenarios may be built to compare results and draw new observations. Behavioral studies could transversally connect the cognitive biases of performance management to actors’ sociodemographic features and personality types. Practitioners may check biases affecting their organizations by means of the questionnaire and, consequently, adopt the framework illustrated to reduce them.

Performance management literature has constantly investigated positive and negative behavioral factors related to the PMS. This study, instead, makes a theoretical and methodological contribution to the PMS implementation as a decision-making process. The authors propose a theoretical framework that integrates cognitive psychology insights and applies measures to reduce biases.

This paper investigates how outcomes-based performance management (PM) regimes operate in the partnerships known as social impact bonds (SIBs), which bring together partners from the public, private and third sectors. The findings are analysed in the light of the different cultural world views of the partners.

Published evaluations of 25 UK SIBs were analysed by a qualitative multiple case study approach. This study of secondary sources permitted the analysis of a wide range of SIB partnerships from near contemporary accounts.

Outcomes frameworks led to rigorous PM regimes that brought the cultural differences between partners into focus. While partnerships benefitted from the variety of viewpoints and expertise, the differences in outlook simultaneously led to strains and tensions. In order to mitigate such tensions, some stakeholders conformed to the outlooks of others.

The need to achieve a predefined set of payable outcomes embeds a “linear” view of intervention and effect on the SIB partners and a performance regime in which some partners dominate. In designing accountability systems for partnerships such as SIBs, commissioners should consider how the performance regime will affect the interests of all stakeholders.

This study adds to the cultural theory literature which has rarely considered three-way partnerships embodying hierarchical, individualist and egalitarian world views and how performance regimes operate in such partnerships. Three-way partnerships are thought to be rare and short-lived, but this empirical study shows that they can be successful albeit over a predefined lifespan.

This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.