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The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

This paper aims to estimate the performance of the social security administration (SSA) in dealing with disability benefits applications in American.

The authors propose a multi-stage data envelopment analysis (DEA) method to analyze the efficiency of 167 hearing offices (HOs) to find the best performed HOs and inefficient ones and detect total improvement of inefficient and weak efficient offices.

The results show that totally 299,711 applications were processed and more applications will be processed if all offices can work efficiently. To the best of the authors’ knowledge, this paper is the first one to analyze the performance of SSA HOs using the multi-stage DEA method.

To the best of the authors’ knowledge, this paper is the first one to analyze the performance of SSA HOs using the multi-stage DEA method.

Gender inequality remains very strong in developing countries. Efforts are however made by actors involved in development projects to contribute to reducing these inequalities. Using observations coming from field experiences and a specific case for which some sex-disaggregated data are available, the author offers some lessons learned to practitioners. More specifically, this chapter questions the different phases of the project cycle, in particular the planning, monitoring and evaluation mechanisms regarding their role in considering gender. The chapter focuses on the relevance of initial gender diagnostics which allow identifying what needs to be addressed to reduce gender inequalities and proposing adequate solutions in specific cultural contexts. The author then provides some guidelines concerning operational arrangements necessary for effectively monitoring aspects related to the inclusion of women in development projects. This includes the design and implementation of a gender strategy, the designation of a dedicated focal point, the systematic planning and monitoring of sex-disaggregated data, the provision of staff skilled in gender issues, and the presence of a gender balance in project teams and support staff. The chapter emphasizes that it is essential to analyze the differential impacts that the development project may have on men and women; this is rarely done. Experience has shown that development can increase inequality due in particular to initial gender differences. Finally, the chapter recommends that to compensate for differences in initial opportunities and capacities, support for women in the budget should be strengthened.

Perhaps one of the most important points Shalev makes is that Przeworski and Tuene's (1970) admonition to comparative political analysts to replace the proper names of cases with concepts and variables, or to pursue what Ragin (1987) dubs variable-oriented research, has gone too far. In Shalev's view, cases (typically nation states for the purposes of this discussion) have become all but invisible. This is particularly troublesome in Shalev's mind because, at least as far as comparative analysis of developed democratic capitalist systems is concerned (and we can say the same for political research on Latin America, Africa, or Asia), the cases are few enough to know quite well and bring to the forefront of sophisticated analysis.¹ In addition, Shalev makes the distinct point that the theories we seek to test in comparative political research entail complex and often non-linear causal sequences: causes of particular political outcomes are commonly contingent on the presence of other forces, or conjunctural with temporally and spatially bound forces and contexts. In fact, in comparative theory, it is fair to argue (as Shalev does) that causal explanations of important political outcomes are often put forward in terms of complex configurations of multiple factors. Moreover, in theory and in practice, we are often confronted with the prospect of multiple configurative paths of causation of the same outcome. In the end, Shalev believes that the linear and additive logic of general MR analysis, as well as the more sophisticated versions with non-linear specifications and interaction terms, cannot adequately test our complex theories.

Several chaotic system-based encryption techniques have been presented in recent years to protect digital images using cryptography. The challenges of key distribution and administration make symmetric encryption difficult. The purpose of this paper is to address these concerns, the novel hybrid partial differential elliptical Rubik’s cube algorithm is developed in this study as an asymmetric image encryption approach. This novel algorithm generates a random weighted matrix, and uses the masking method on image pixels with Rubik’s cube principle. Security analysis has been conducted, it enhances and increases the reliability of the proposed algorithm against a variety of attacks including statistical and differential attacks.

In this light, a differential elliptical model is designed with two phases for image encryption and decryption. A modified image is achieved by rotating and mixing intensities of rows and columns with a masking matrix derived from the key generation technique using a unique approach based on the elliptic curve and Rubik’s cube principle.

To evaluate the security level, the proposed algorithm is tested with statistical and differential attacks on a different set of test images with peak signal-to-noise ratio, unified average changed intensity and number of pixel change rate performance metrics. These results proved that the proposed image encryption method is completely reliable and enhances image security during transmission.

The elliptic curve–based encryption is hard to break by hackers and adding a Rubik’s cube principle makes it even more complex and nearly impossible to decode. The proposed method provides reduced key size.

This paper seeks to develop an optimal stochastic control model where interactive feedback consists of the quantity of flawless and defective products. The main objective of this study is to minimize the expected discounted overall cost due to maintenance activities, inventory holding and backlogs.

The model differs from similar research projects in that, instead of age‐dependent machine failure, it considers only defective products as feedback into the optimal model for maintenance and production planning. In this paper a near optimal control policy of the system through numerical techniques is obtained.

In this paper, a new model in which the system's retroaction is the quantity of defective products is presented, considering that defective products are a consequence of global manufacturing system deterioration. Instead of taking into account machine failure and human error separately, it considers a defect in product as being the consequence of a combined failure; this consideration allows one to be more realistic by merging all failure parameters into a single one. A new stochastic control model, which focuses on defective products, inventory, and backlog, has been developed.

This approach extended the concept of hedging point policy to the quantity of defective products combined with preventive and corrective maintenance strategies. The control policy obtained has a bang bang structure and is completely known for given parameters.

The integration of maintenance and production strategies has been mainly focused on the machine. Many research projects have been focusing on the age when dealing with machine failure. It is considered as the main target of the cost reduction in maintenance engineering departments. The originality of this paper is the taking into account of all operational failures into the same optimization model. It brings a value added to high level of maintenance and for operation managers who need to consider all failure parameters before taking decisions related to cost.

The literature has acknowledged the importance of diaspora studies because of the influx of funds into the local economy, including the tourism and hospitality sector. However, little empirical research appears to be known about the subject matter, principally within the developing country perspective. This study aims to respond to research calls by investigating the impact of diasporic cultural heritage, family heritage on travel preference of West African Indian migrant visitors to their homeland.

This research is guided by the theory of acculturation. A quantitative data were gathered from a sample of 312 diasporas, and the regression analysis was used to analyze the data.

The study finds that cultural heritage and family heritage have positive and significant impact on travel preference of migrant visitors to their homeland. Further analysis of the independent sample t-test reveals a significant difference between Indian Ghanaians and Ghanaian Indians in their thought of cultural heritage. However, no significant differences were found in the Indian Ghanaian and Ghanaian Indian’s family heritage and travel preference to their homeland.

This study is destination-specific of Indian migrant visitors. The application of the study’s outcome to other diaspora would demand a larger sample size for generalization to be made. The study offers compelling insights on cultural heritage, family heritage and travel preference to marketing a diaspora tourism site.

The study expands the application of the theory of acculturation within the diaspora literature and establishes that integration and separation strategies of the theory explain the positive interests of the migrant visitors’ traveling preference to their homeland.

The purpose of this paper to analyze the risk reporting practices and its determinants of commercial banks during the period of the adoption of the Basel II Accord in Portugal.

The paper conducts a content analysis of the risk and risk management sections included in the management reports and the notes of the annual reports of Portuguese commercial banks, for the years 2007, 2010 and 2013.

Findings show that theoretical frameworks underpinned in agency and legitimacy theories continue to provide valid explanations for risk reporting by Portuguese banks. More specifically, findings indicate that agency costs, public visibility and reputation are crucial drivers of risk reporting. Findings also indicate that younger banks with lower risk management skills use risk reporting either as an informational process or as a channel to manage organizational legitimacy.

The content analysis does not allow readily for in-depth qualitative inquiry. The coding instrument is subject to coder bias. Information about risk can be provided in sources other than annual reports. Additionally, not all banks disclose information on corporate governance-related variables that could also influence risk reporting.

The current research setting has never been studied hitherto. In this sense, this study seems to be of great relevance given the scarcity of literature on the subject in Portugal.

The paper presents reliability, maintainability and life cycle cost (LCC) analysis of a computerized numerical control (CNC) turning center which is manufactured and used in India. The purpose of this paper is to identify the critical components/subsystems from reliability and LCC perspective. The paper further aims at improving reliability and LCC by implementing reliability-improvement methods.

This paper uses a methodology for the reliability analysis based on the assessment of trends in maintenance data. The data required for reliability and LCC analysis are collected from the manufacturers and users of CNC turning center over a period of eight years. ReliaSoft’s Weibull++9 software has been used for verifying goodness of fit and estimating parameters of the distribution. The LCC of the system is estimated for five cost elements: acquisition cost, operation cost, failure cost, support cost and net salvage value.

The analysis shows that the spindle bearing, spindle belt, spindle drawbar, insert, tool holder, drive battery, hydraulic hose, lubricant hose, coolant hose and solenoid valve are the components with low reliability. With certain design changes and implementation of reliability-based maintenance policies, system reliability is improved, especially during warranty period. The reliability of the CNC turning center is improved by nearly 45 percent at the end of warranty period and system mean time between failure is increased from 15,000 to 17,000 hours. The LCC analysis reveals that the maintenance cost, operating cost and support costs dominate the LCC and contribute to the tune of 87 percent of the total LCC.

The proposed methodology provides an excellent tool that can be utilized in industries, where safety, reliability, maintainability and availability of the system play a vital role. The approach may be improved by collecting data from more number of users of the CNC turning centers.

The approach presented in this paper is generic and can be applied to analyze the repairable systems. A real case study is presented to show the applicability of the approach.

The proposed methodology provides a practical approach for the analysis of time-to-failure and time-to-repair data based on the assessment of trends in the maintenance data. The methodology helps in selecting a proper approach of the analysis such as Bayesian method, parametric methods and nonparametric methods.

This study aims to explore the influence of field-level funding pressure and resource dependency on conflicting institutional logics in implementing a new performance measurement system (PMS) within a privatised social enterprise (SE) in a developing country. It answers the research question: how accounting-based key performance indicators (KPIs) were chosen within a privatised SE to maintain co-existence between two different institutional logics, the social and commercial logics, to gain legitimacy in the government funding scheme.

This study expands the application and contribution of the Besharov and Smith’s (2014) logics multiplicity framework to previous management accounting literature on PMS and institutional logics. It adds a new dimension to previous literature to theorise the cognitive dynamics of institutional logics at three distinct but interrelated institutional levels, namely, field, organisational and individual. Data come from an interpretive case study of an Egyptian SE, involved in implementing a social project (drinking water refining) in rural communities.

PMS acts as a political tool through which the privatised case company has gained societal acceptance and legitimacy in the government funding scheme. Its non-political KPIs have turned into political tools to meet the institutional demands of the funding scheme. This government involvement represents field-level institutional logics, which influenced the organisational-level interplay of commercial and social logics and then the individual-level choice of internal KPIs. This contributes to the fact that institutional logics and their interplay between these three levels are “in a state of flux” within SEs’ internal PMS.

This study deals with a real-life practical case that proves the prevalence of one institutional logic over another at both the organisational and individual levels may be occasioned by organisational field pressures and opportunities rather than by other intra-organisational conflicts as discussed in most previous literature on PMS and institutional logics.