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This paper aims to propose a tool to assess local public expenditure effectiveness based on a framework of alignment between outputs, outcomes and impacts – the Index of Municipal Expenditure Effectiveness (IMEE). This index is composed of a set of indicators associated with the typology of local expenditure.

The paper describes the methodological approach used in the development of the Index, considering the insights from the literature review and the opinion of a panel of experts. The indicators of outcomes and social impacts that are part of the Index are intentionally aligned with the UN Sustainable Development Goals (SDGs) as they provide an essential guide to assess public value creation in the current context. For simplicity purposes, three main components of municipal expenditure were considered, namely Education, Essential Public Services and Local Public Transportation. The Index is then illustrated through a pilot application, using data from five Portuguese municipalities.

This study argues that measuring the public expenditure effectiveness based on outcome and impact indicators can provide the data needed for local governments to better understand the effects of their activities over time, ultimately assessing their contribution to public value.

Assessing the impact of local spending is important to ensure the best use of public resources. Linking local public expenditures with the 2030 Agenda and the SDGs is a promising avenue to understand up to what extent the application of the public money is contributing to create public value by impacting on citizens’ lives.

The proposed IMEE contributes to addressing a gap identified in public organizations, including local governments, regarding the lack of consideration of expenditure and outcome/impact relationships, and the use of variables to measure long term impacts.

The purpose of this paper is to suggest indicators for evaluating Iran national nanotechnology plan at the policy and program levels. Governments are required to evaluate their policies to be accountable to their audience and to improve their policies. The evaluation of nanotechnology policies both in academic and governmental institutions has been mainly confined to measuring the research and development outputs, while explicit models are required for evaluating national nanotechnology policies and programs. In other words, although policies are translated into several activities, it does not mean that the evaluation of activities results in holistic policy evaluation.

The present research uses a qualitative method to explore the process of developing a model for assessing nanotechnology policymaking in Iran. Expert opinions have been collected and analyzed by using local and international surveys to validate different elements of the model.

The model includes the evaluation time-frame, criteria and indicators for policy and program levels. Assessment at program and policy levels, as distinct from activity evaluation, measures the ultimate objectives of a policy intervention, based on which the outcome and impact indicators should be developed. This paper argues that the Iran national nanotechnology policy should be evaluated and revised triennially based on the model in which 46 outcome and impact indicators are included under three general criteria of appropriateness, efficiency and effectiveness. A number of these indicators should be evaluated annually or biannually.

The evaluation of nanotechnology plans has been mainly limited to assessing the research and development outputs that are related to the activity level. The main value of this work is developing outcome and impact indicators that are related to policy and program levels.

The purpose of this paper is to describe how the logic model can provide infrastructure for library programming from planning, tracking accomplishments, identifying where adjustments are required, to reporting outcomes.

The National Network of Libraries of Medicine, MidContinental Region has used the logic model since 2003 for planning and organizing its work. Its geographically dispersed librarians carry out six project initiatives. The logic model is used during planning to establish consensus on expectations and responsibilities. An online reporting tool, developed in 2004, tracks staff activities to the logic model. Quarterly reports for each project uses reporting tool data to determine whether the project is going along as planned or whether an intervention is required. At the end of the year, a final report assesses the achievement outcomes and indicators.

Writing a logic model is a study in semantics. It is important to be as specific as possible. Accurately defining terms saves puzzlement down the line on whether an activity was carried out as planned or an indicator was met. Measurable targets for each indicator encourage staff to continuously evaluate their activities and adjust their work to achieve the desired results. Writing realistic indicators is a process that improves with practice. Early in the program enthusiasm and the optimism of the librarian staff led to the indicators that were unrealistic within a one year timeframe.

The logic model accommodates the unforeseeable and helps evaluate whether an activity is worth doing. It is impossible to identify all future opportunities. The logic model runs from the visionary (goals) to the ordinary (activities). When the unexpected arises it can be evaluated on how closely it addresses goals and outcomes and can be tied to that goal or outcome when reporting. The integration of the logic model into the program is made more efficient with an online report system. Having a system that links staff work to the logic model facilitates analysis, decision making, and reporting.

The logic model is generally touted as a planning tool. This paper expands the use of the logic model as a tool for planning, tracking, and reporting.

The education system in Kenya is continually challenged to adapt and improve, in part because its mission has become far more ambitious than it once was due to the massive investment in education by successive governments over the last two decades. Today, most Kenyans expect schools to prepare all students to succeed in postsecondary education and to prosper in a complex, fast-changing global economy. To identify the most important measures for education and other issues and provide quality data on them to the country, there is a need for the ministry of education to establish a National Education Indicators framework. This criterion is hoped to enable policy makers and the public better assess the position and progress of the country across the education sector. The key task in developing education indicators will be to identify a clear and parsimonious set of measures and data that will be easy for non-specialists to understand but which will also do justice to the complexities of the ailing education system. These indicators will amplify the existing situation and will be drawn from a large, and sometimes conflicting, body of information about students, teachers and schools. The purpose of this study is to propose and urge the government to develop a national framework of indicators that will inform stakeholders on the performance of the education system, both at school and national level.

This paper aims to show how the term competitiveness has been applied and adapted since Michael Porter made it respectable in economics, strategic management and consulting. This paper connects the concept with new developments in the theory of the firm, theories of growth and, finally, with Beyond GDP literature.

This paper distinguishes between input and output competitiveness, developing a set of indictors for both. Countries are ranked according to costs, structure and capabilities (drivers of competitiveness) as well as according to economic, social and ecological performance (performance pillars). Finally, outcome competitiveness is explained by the individual drivers, using econometrics and principal component analyses.

Defining competitiveness as the ability of a country or nation to deliver Beyond GDP goals changes the policy conclusions drawn from the quest for competitiveness. Policies to reduce costs prove inferior relative to “high-road strategies” built on skills, innovation and supporting institutions. Ecological ambition and social investment are not costs, but enablers of competitiveness for high-income countries.

Connecting the well-known term competitiveness with Beyond GDP goals is a new approach. It is very different from the old concept of cost competitiveness criticized heavily by Paul Krugman. Supplying a set of indicators to measure “low-road” and “high-road” competitiveness leads to important new policy conclusions.

The purpose of this paper is to investigate the multidimensional nature of social and nonprofit organisations' accountability and performance measurement systems (PMSs). It further considers how these systems help in defining outcome performance indicators downward to beneficiaries

The paper discusses participatory action research (PAR) within an Italian social enterprise. In order to increase dialogue, participation and engagement, the researchers adopted focus groups as a preferred method of investigation and conducted a broad documental analysis from July 2016 to March 2018. The paper discusses the gathered data in light of the social impact value chain as well as the multiple-constituency approach.

The findings support the idea that social and nonprofit organisations lack the expertise and resources to evaluate outcomes and impact; however, through PAR, the organisation defined their desired outcomes and ascertained which internal output measures were most likely to be correlated with these outcomes. Moreover, the findings highlight that nonprofits develop outcome measurements less frequently because they have more control over their immediate activities and outputs.

This research suggests the need to reinforce lateral and downward accountability based on mission and mission-based activities in order to make the performance management system of social and nonprofit organisation linked to the organisational strategies.

This paper innovates methodologically in two directions: 1) it adopts action research as a qualitative method, allowing the researcher to generate solutions to collectively-identified problems and 2) the paper's arguments are strongly supported by rich empirical exploration that occurred over a period of 20 months in an Italian social enterprise.

This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

The purpose of this article is to identify and test the effectiveness of work strategies employed by regional implementation teams to attain high quality care for diabetes patients.

The study was conducted in a major health maintenance organization (HMO) that provides care for 70 per cent of Israel's diabetes patients. A sequential mixed model design, combining qualitative and quantitative methods was employed. In‐depth interviews were conducted with members of six regional implementation teams, each responsible for the care of 25,000‐34,000 diabetic patients. Content analysis of the interviews revealed that teams employed four key strategies: task‐interdependence, goal‐interdependence, reliance on top‐down standardised processes and team‐learning. These strategies were used to predict the mean percentage performance of eight evidence‐based indicators of diabetes care: percentage of patients with HbA1c < 7 per cent, blood pressure ≤ 130/80 and cholesterol≤100; and performance of: HbA1c tests, LDL cholesterol tests, blood pressure measurements, urine protein tests, and ophthalmic examinations.

Teams were found to vary in their use of the four strategies. Mixed linear models analysis indicated that type of indicator (simple process, compound process, and outcome) and goal interdependence were significantly linked to team effectiveness. For simple‐process indicators, reliance on top‐down standardised processes led to team effectiveness, but for outcome measures this strategy was ineffective, and even counter‐effective. For outcome measures, team‐learning was more beneficial.

The findings have implications for the management of chronic diseases.

The advantage of allowing team members flexibility in the choice of the best work strategy to attain high quality diabetes care is attested.

This paper aims to present the rationale for the adoption of a performance measurement approach within a partnership setting, the process followed to develop a multi‐agency performance measurement framework, the resulting model and the associated challenges and key success factors.

This paper used a case study approach.

This paper describes the multi‐agency outcomes‐based performance measurement model used by Children's Services Planning in Northern Ireland to monitor agreed outcomes and identifies the key success factors of developing and implementing such a model.

Findings are limited to the analysis of the development of a performance measurement approach within a single partnership.

This paper has contributed to the debate on performance measurement by illustrating a paradigm shift from collecting activity data on an organization by organization basis to managing information on a multi‐agency basis using indicators based on outcomes as part of an integrated performance measurement system.