Search results

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.

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.

This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy.

The quantitative approach was used through a survey method that obtained samples using questionnaires from 150 leaders of research institutions and continued analysis using the structural equation modeling-partial least square (SEM-PLS) to test the developed model.

Except for the relationship between process and productivity variables, all variable relationships had a positive and significant effect. Furthermore, the input, process, output, productivity and outcome variables each include seven, twelve, four and ten indicators.

This study has several ramifications because it provides a clear policy input and advances science. As a prelude to developing research performance assessment tools that take into account variances in a tertiary institution, this research aids in the implementation of national policies for assessing research performance in postsecondary institutions.

To improve the accuracy of the information acquired, we conducted a survey among the heads of research units at various higher-ranking Indonesian universities, taking into consideration their skill and experience in leading research organizations and conducting research. Other than that, our belief in the originality of our manuscript is strengthened by the way we applied systems theory to construct a performance evaluation model that examines each contribution made by each system aspect.

Public realm urban regeneration projects aim to provide facilities for the common good such as improved road systems, public parks, museums and cultural institutions. Driven by political priorities, the expected benefits for society comprise of the proposed regeneration outcomes articulated in a masterplan vision. As a philosophical concept, common good in the context of urban regeneration is explored in this study to understand the expectations for major, long-term regeneration projects and the intended project objectives. In the approach to governance, there should be a relationship between monitoring indicators adopted by the regeneration project as part of the governance framework and their alignment with the common good. These concepts are analysed through a case study of the development and reporting of benchmark indicators established at the start of a major 20-year urban redevelopment in 2010. The monitoring and enhancement concept implemented required indicators to be developed and embedded in the regeneration process to, not only monitor, but also enhance sustainability. The longitudinal case study, at the interim point 10 years since the establishment of these indicators, will evaluate the sustainability of the urban regeneration and evaluate current evidence for the common good. The indicators were developed following the principles of a theme orientated framework in line with the UK and Scottish Government approach at that time. The process of indicator development was iterative, refined and finalised through working closely with local authority, Scottish Enterprise and partnership stakeholders (civic oriented organisations) to capture evidence of progress towards the masterplan vision. Ten years on, conclusions examine whether these indicators could be used a proxy for common good. The conclusion will identify the extent to which we would need to revise indicators to address any gaps to become a more accurate measure of common good.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

Safety professionals' primary job is to execute safety control measures towards frontline personnel, and previous studies focus on the effectiveness of such controls. Rare research efforts, however, have been devoted to the effectiveness of management control measures towards safety professionals themselves. This study aimed to fill up this knowledge gap by examining whether safety professionals under differing management control configurations differ in their work attitudes, including affective commitment, job satisfaction, career commitment and intention to quit.

Drawing on a holistic view of control, five forms of management control, i.e. outcome control, process control, capability control, professional control and reinforcement, were investigated. A cross-sectional questionnaire survey targeting at construction safety professionals was conducted. The latent profile analysis approach was employed to identify how the five forms of management control are configured, i.e. identifying the distinctive patterns of control profiles. The Bolck–Croon–Hagenaars method was then used to examine whether safety professionals' work attitudes were different across the identified control profiles.

Seven distinct control profiles were extracted from the sample of 475 construction safety professionals. The overall test of outcome means showed that mean levels of affective commitment, job satisfaction and intentions to quit were significantly different across the seven profiles. The largest that was also the most desirable subgroup was the high control profile (n = 161, 33.9%). The least desirable subgroups included the low control profile (n = 75, 15.8%) and the low capability and professional control profile (n = 12, 2.5%). Pairwise comparison suggested that capability, professional and process controls were more effective than outcome control and reinforcement.

In theory, this study contributes to the burgeoning literature on how to improve the effectiveness of control measures targeted at safety professionals. The results suggested that effective management controls involve a fine combination of formal, informal, process and output controls. In practice, this study uncovers the ways in which managers leverage the efforts of safety professionals in achieving safety goals. Particularly, it informs managers that the control configurations, instead of isolated controls, should be executed to motivate safety professionals.

In 2011, Brazil introduced a national pay-for-performance (P4P) scheme called the National Program for Improving Primary Health Care Access and Quality (PMAQ), rolled out over three cycles and reaching more than 5,000 municipalities and 40,000 family health teams (FHTs). There is little evidence on how the PMAQ was implemented locally and whether this variation in implementation affects performance, particularly, in terms of work process indicators. This study compared different cases of municipal-level PMAQ implementation (bonuses paid or not to FHTs) over the last two program cycles to analyze the quality of the work processes, actions and services of FHTs.

This was a cross-sectional analytical study using secondary data from an external evaluation of the Brazilian PMAQ. In total, 27,500 FHTs participated in the evaluation. They were divided into four clusters based on whether or not municipalities paid bonuses to workers during cycles 2 and 3 of the program (2013–2019). Variables regarding work processes, actions and services were classified as “Quality Assurance – QA” or “Continued Quality Improvement – CQI”, and an individual score was assigned based on the average score of each variable.

The four clusters displayed an increase in overall QA and CQI scores between the two program cycles; though this increase was small between the set of primary health care teams that received bonuses and those that did not.

This paper contributes to bridging the gap in the scientific literature for evaluative studies on the relationship between direct payment for performance to health professionals and better quality actions and services in low and middle-income countries.

It is well known that culture is a catalyst for change, helping economies respond to societal problems and demands and that culture is where people turn to in moments of crisis. In this case study around designing and implementing evaluation methodologies/frameworks for Coventry UK City of Culture 2021, it is suggested that in English public policy and within publicly invested arts there is a maturation of thinking around recognising/measuring the public value of culture including its social value. The purpose of this paper is to chart the recent policy of justifying cultural expenditure with social value claims and highlight challenges for evaluating activity within Coventry UK CoC 2021 as a change in wider policy is taking place.

This paper provides creative insights into the design and implementation of the evaluation methodologies/frameworks for Coventry UK City of Culture 2021. The authors of this paper as the collective team undertaking the evaluation of Coventry's year as UK City of Culture 2021 bring first-hand experiences of challenges faced and the need for a cultural mega-event to evidence its value.

The case study aims to address the concepts of measuring value within cultural events and argues that a paradigm shift is occurring in methods and concepts for evidencing the aforementioned value.

The case study within this paper focuses on the build-up period to the UK City of Culture 2021 year and the thinking and logic behind the creation of the evaluation/measurement framework and therefore does not include findings from the actual cultural year.

It is acknowledged that there are papers examining measuring and evidencing the “value” of cultural mega-events, the authors bring real-life first-hand experience of the concepts being utilised by them on the ground in the delivery and evaluation design of Coventry, UK City of Culture 2021.

The primary aim of this research was to investigate the mediating effect of the decision-making structure on the relationship between perceived environmental uncertainty and hospital performance.

Online and manual survey questionnaires were used to collect data in this study. The target population of this study consists of all middle managers within 11 COVID-19 referral hospitals in Surabaya. A total of 189 responses were collected, however, 27 incomplete responses were excluded from the final dataset. Data was analyzed using SEM-PLS.

The study's findings indicate that decision-making structure plays a role in mediating the link between perceived environmental uncertainty and hospital performance assessed via the Balanced Scorecard, highlighting the significance of flexible decision-making processes during uncertain periods. Moreover, based on our supplementary test, respondents' demographic characteristics influence their perceptions of hospital performance.

Hospital administrators can consider the significance of decision-making structures in responding to environmental uncertainties like the COVID-19 pandemic. By fostering adaptable decision-making processes and empowering middle managers, hospitals may enhance their performance and resilience in challenging situations. Additionally, based on supplementary tests, it is found that differences in the perception of the three Balanced Scorecard perspectives imply that hospitals categorized as types A, B, C, and D should prioritize specific areas to improve their overall performance.

This research adds substantial originality and value to the existing body of knowledge by exploring the interplay between decision-making structures, environmental uncertainty, and hospital performance. It contributes to the literature by specifically focusing on the Covid-19 pandemic, a unique and unprecedented global crisis.