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This paper proposes a progressive, multi-level framework for diagnosing maintenance performance: rapid performance health checks of key performance for different equipment groups and end-to-end process diagnostics to further locate potential performance issues. A question-based performance evaluation approach is introduced to support the selection and derivation of case-specific indicators based on diagnostic aspects.

The case research method is used to develop the proposed framework. The generic parts of the framework are built on existing maintenance performance measurement theories through a literature review. In the case study, empirical maintenance data of 196 emergency shutdown valves (ESDVs) are collected over a two-year period to support the development and validation of the proposed approach.

To improve processes, companies need a separate performance measurement structure. This paper suggests a hierarchical model in four layers (objective, domain, aspect and performance measurement) to facilitate the selection and derivation of indicators, which could potentially reduce management complexity and help prioritize continuous performance improvement. Examples of new indicators are derived from a case study that includes 196 ESDVs at an offshore oil and gas production plant.

Methodological approaches to deriving various performance indicators have rarely been addressed in the maintenance field. The proposed diagnostic framework provides a structured way to identify and locate process performance issues by creating indicators that can bridge generic evaluation aspects and maintenance data. The framework is highly adaptive as data availability functions are used as inputs to generate indicators instead of passively filtering out non-applicable existing indicators.

The purpose of this paper is to develop a framework and key performance indicators (KPIs) to assess the sustainability of the manufacturing organizations along the integrated supply chain.

A systematic literature review of existing peer-reviewed articles has been carried out to understand the strengths and weaknesses of current frameworks. A sustainability assessment framework has been proposed for the manufacturing sector. KPIs to assess sustainability performance of manufacturing organizations are identified. An empirical study is carried out for the cement industry to test the proposed framework and KPIs.

The existing frameworks on sustainability assessment lacks an integrated assessment consisting product life cycle, resources, critical factors (product, process and policy), KPIs and their interrelationship with sustainability dimensions. In total, 121 KPIs are identified for sustainability assessment of manufacturing organizations. The empirical study of the Indian cement industry identifies 52 KPIs (17 social, 15 economic and 20 environmental), which are classified into 13 factors using exploratory factor analysis.

The proposed framework is tested for the cement sector. More studies are required to validate and refine the framework to make it generalized for the manufacturing sector.

This study has developed for the first time a close interrelation among life cycle engineering, resources, critical factors, KPIs and sustainability dimensions.

With a view to enabling organisations provide a clear understanding of firm value creation, several national and supranational institutions have produced guidelines and frameworks for externally reporting intellectual capital (IC). In many cases regulators, the accounting profession and accounting scholars have driven these initiatives. The purpose of this paper is to summarise, analyse and compare the guidelines and frameworks that have been developed with a focus on externally reporting IC.

The paper analyses the assumptions underpinning 20 guidelines and frameworks that have been developed with a focus on reporting IC using a self-constructed framework.

The review resulted in a comparison of IC reporting guidelines and framework based on target audience, role of IC within the organisational strategic management process and reporting IC indicator. It provides an understanding of the state of the art in relation to external reporting of IC.

The insights provided by the comparison of the guidelines and frameworks are likely to be helpful for practitioners wanting to adopt or develop an IC reporting model for their organisation. Policy-makers will find these insights beneficial when attempting to refine existing frameworks and guidelines for reporting IC and in developing new ones to suit various circumstances. Also, this paper provides a useful review for academics.

This is the first paper to provide a review of a large number of business reporting guidelines and frameworks with a focus on IC. It is a valuable reference for practitioners, policy-makers and academics on IC reporting models.

The main purpose of this research is to analyse the efficiency of the main European monitoring frameworks to estimate the transition of the countries within the European Union (EU) towards circular economy (CE) using the example of Croatia.

Assessment methods with reliable data and appropriate indicators are essential when it comes to measuring transition and progress towards CE. The methodology employed in this research is a systematic and critical analysis of the seven European measurement frameworks employed to assess Croatia's progress towards CE.

The analysis revealed how EU's monitoring frameworks have developed over time and how useful they are in evaluating country's progress towards CE. The measurement tools and indicators proved, in the case of Croatia, insufficient for clarifying and understanding its progress towards CE. Selection of indicators within monitoring frameworks is arbitrary while their interpretation is highly contextual, dependent on policy targets and local conditions. These results can be extrapolated to other EU member states.

Policy recommendations for more efficient CE transitions are provided.

This research sheds light on the CE development in Croatia – an understudied European country in this context – and discusses the country's goals towards sustainability. The limited success of developed CE indicators is discussed.

In this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.

The purpose of this paper is to present a framework for prioritizing intellectual capital (IC) indicators, as well as suggesting key improvement areas by using the Delphi approach and analytic hierarchy process (AHP) analysis.

The effectiveness of the framework is demonstrated through the case study of a public sector research and development organization.

This paper identifies three major characteristics of the framework: weighing indicators that should be based on an organization's strategies and contexts; employing multiple processes (Delphi and AHP approaches) which can overcome the limitation of a single methodology; and providing a visual map that can help management identify which indicators and related activities need attention and should be improved.

This research contributes to the literature and practices in several ways. First, this paper provides a practical and operational guideline on how to engage in IC management efficiently. Second, the authors try to integrate IC management into traditional management tools (e.g. quality management) by employing the concept of an operational feedback process and three screening processes. Third, this paper tests the possibility of using a Delphi approach in prioritizing IC indicators.

The relationship between sustainable development and private finance initiative (PFI) procurement systems is clarified, and the current debate on the effectiveness of PFI in the UK and the benefits of PFI to deliver sustainable construction is reviewed. The study develops a sustainability assessment framework encompassing environmental, economic, social and technical aspects through the life cycle of the procurement process. The paper aims to discuss these issues.

A comprehensive literature review develops a conceptual sustainability performance indicators framework. A national questionnaire survey measures existing PFI projects' sustainability performance level.

The study provides empirical insights about key performance indicators of sustainable PFI project development and a benchmarking for existing PFI project performance measurement. It suggests that successful sustainable PFI projects should integrate technical aspects into the traditional three dimensions sustainability model and achieve a balance between social and economic performance.

Because of the chosen research approach, the research results may lack in-depth analysis of individual projects. Therefore, researchers are encouraged to test the framework further.

The sustainability indicator framework proposed in this paper is readily applicable in PFI projects, as well as other types of PPP projects.

This paper fulfils an identified need to study how the sustainability performance levels achieved could be effectively measured within PFI/PPP projects; while contributing to the debate on benchmarking and measuring sustainability performance in construction.

The purpose of this paper is to develop an approach to measure business sustainability in food service operations. The main objectives are to understand the concepts of business sustainability and, after constructing a framework based on a literature review, to assess the relation between the proposed framework and the empirical case study in a fast food retailer chain.

In order to examine the applicability of the proposed framework, focus group interview and face-to-face interviews were conducted. Additionally, some other secondary data such as official websites or company reports were also used to support the interview results.

Finding of the research result has shown most of the factors of business sustainability employed to measure sustainability food service operations are supported.

This study contributes to the literature by showing that environmental and social sustainability are significantly recognized in the corporation. More importantly, through the data analysis, a new factor of social sustainability, namely, community contribution has been found. The contribution of this paper is certainly applicable to other food service operations who wish to achieve a good degree of business sustainability.

In integrated reporting, financial and non-financial performance is presented interactively, as the value creation abilities of corporations are shaped via capitals, the importance of the topic increases day by day. In addition to this, differentiation of importance of basic and sub-dimensions representing capitals between institutions leads to questions on which weight these should take place. From this point, this paper aims to develop capitals in integrated reporting and to weight the indicators representing them.

In this study, first, to ensure that each component of capital is included in integrated reporting, governance capital has been added to capitals, which are identified in the international integrated reporting framework (the framework). Then, weights of each capital dimension and indicators within these dimensions have been determined in a banking sector example with the entropy method.

Including the 2014-2017 period, an efficient weight assessment approach with the entropy method has been presented and it was observed that the most weighted element is the intellectual capital.

The limitations of this study are the lack of an agreed general indicator framework for indicators representing multiple capitals in integrated reporting, each bank’s data disclosure of different indicators and differentiation of the shared data between sources.

This study guides the weighting studies necessary for integrated performance measurement.

It is foreseen that this study will be effective in the development of integrated thinking and this effect will contribute to the overall functioning of all sectors beyond the banking sector, which is the application area of the study.

The study is the first original study in the literature in terms of providing a new dimension by adding the governance capital to the capitals defined in the Framework.

The purpose of this paper is to construct an indicator framework for evaluating open health data portals from the perspective of user experience (UX) to reduce users’ learning costs, save their time and energy and strengthen the emotional connection with users, thereby encouraging them to actively use open health data.

This study uses card sorting, Delphi and analytic hierarchy process to determine the weights of indicators for evaluating open health data portals. Then, this study uses a coding method to score, evaluate and compare the selection of more than 120 open health data portals supported by organizations in more than 100 countries or regions that are in the World's top confirmed cases of COVID-19 as released by the World Health Organization.

At present, open health data portals have shortcomings with regard to UX. Different types of open health data portals vary significantly in the dimensions of technical experience and functional experience, but the differences in the dimensions of aesthetic experience, emotional experience and content experience are not significant.

The constructed open health data portal evaluation indicator framework introduces users' actual application needs and proposes optimization suggestions for the portal to meet the needs of users to quickly obtain, reliable and accurate health data.