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Several healthcare quality assessment tools measure the processes and outcomes of the care system. The actual physical infrastructure (buildings and organizational) aspects are, however, rarely considered. The purpose of this paper is to describe the process of validation and weighting of an evidence-informed framework for the quality assessment of hospital facilities from social, environmental and organizational perspectives to complement other assessments.

Sustainable High-quality Healthcare version 2 (SustHealth v2) is the updated version of an existing framework composed of three domains (social, environmental and organizational quality). To validate and establish a relevant weighting, interviews were conducted with 15 professionals within the field of healthcare planning, design, research and management. The study has been conducted through semi-structured interviews and the application of the Simon Roy Figueras (SRF) procedure for the elicitation of weights criteria. The data collected have been processed through the DecSpace web platform.

Among the three domains, the organizational qualities appear to be the most important (W = 49%), followed by the environmental (W = 29%) and social aspects (W = 22%). Relevant indicators such as future-proofing, wayfinding and users’ space control emerged as the most important within each macro-area. Those results are confirmed by the outcome of the interviews that highlight user/patient-centeredness, wayfinding strategies and space functionality as the most important concepts to foster in existing healthcare facilities improvement.

The study highlights important structural and organizational aspects that hospital managers and planners can consider when dealing with healthcare facilities’ quality improvement.

The use of the SRF multicriteria method is novel in this context when used to weight an assessment tool with a focus on hospital built environment.

To propose a multi‐criteria approach for ranking the performance of the economic sectors of the Portuguese economy and to identify the most attractive sectors.

A multi‐criteria approach using ELECTRE III and SRF software for eliciting the weights of criteria is used to solve the ranking problem statement.

The sector non‐metallic mineral products was ranked in first place in relation to all the rankings; the wholesale trade and retailing trade sectors were ranked in second place in relation to all the rankings; the sector wood, cork and furniture was ranked often in second place; the electronic and electrical industry sectors was ranked in third place; the agriculture and fishing sector was ranked in the tail‐end of the ranking; the agro‐industry sector and the transportation and distribution sector consistently were ranked in the lowest positions, just before the agriculture and fishing sector.

Other evaluation criteria can be used to improve the relative ranking classification, namely strategic and operational performance measures.

The results of this application are useful for investors, business leaders, and policy makers. From the perspective of potential investors, investment opportunities can be evaluated based on the attractiveness of the economic sectors studied. From the perspective of Portuguese policy makers and business leaders, sectors of the Portuguese economy that are in need of fundamental restructuring are easily identified. For these sectors, business strategies and policy initiatives that are based on benchmarking effective innovations are in order. Therefore, joint partnership between business leaders, policy makers and higher education to lay the ground for innovative practices in these sectors may prove very useful.

The proposed multi‐criteria approach utilized in this study is simple; furthermore it has the capacity to deal well with uncertainty. This study also contributes to an important, yet relatively new body of application‐based literature, dealing with a multi‐criteria approach to decision making with the aid of fuzzy theory methodologies.

A cascaded observer-based transfer delay frequency locked loop (CODFLL) algorithm is developed to control the distribution static compensator (DSTATCOM) to address various power quality (PQ) issues arise because of distorted grid and load conditions. Moreover, frequency locked loop is included along with the observer to take care of the frequency drift from nominal value and to improve its performance during steady state and transient conditions. During daylight, the proposed system works as photovoltaic (PV) DSTATCOM and performs multiple functions for improving PQ whilst transferring power to grid and load. The system under consideration acts as DSTATCOM during night and bad weather condition to nullify the PQ issues.

CODFLL control algorithm generates reference signal for hysteresis controller. This reference signal is compared with an actual grid signal and a gate pulse is produced for a voltage source converter. The system is made frequency adaptive by transfer delay adaptive frequency locked loop (FLL). Peak power is extracted from a PV source using the perturb and observe technique irrespective of disturbances encountered in the system.

The PV system’s performance with the proposed controller is studied and compared with conventional control algorithms such as least mean fourth (LMF), improved second-order generalized integrator frequency locked loop (ISOGI-FLL), synchronous reference frame phased lock loop (SRF-PLL) and frequency adaptive disturbance observer (DOB) for different cases, for example, steady-state condition, dynamic condition, variable insolation, voltage sag and swell and frequency wandering in the supply side. It is found that the proposed method tracks the frequency variation faster as compared to ISOGI-FLL without any oscillations. During unbalanced loading conditions, CODFLL exhibits zero oscillations. Harmonics in system parameters are reduced to the level of IEEE standard; unity power factor is maintained at the grid side; hassle-free power flow takes place from the source to the grid and load; and consistent voltage profile is maintained at the coupling point.

CODFLL control algorithm is developed for PV-DSTATCOM systems to generate a reference grid current.

Large regional disparities lead, among other things, to significant internal migration flows. Internal migrations, on the other hand, reinforce existing regional disparities by causing a lack of human capital in underdeveloped regions. In this chapter, we apply the Multiple Criteria Decision Aiding (MCDA) sorting method, ELECTRE Tri-C, to determine the current internal migration potential for districts in Serbia. The method will provide four classes of migration potential, ranging from strong emigration to strong immigration potential, based on the main drivers of internal migration. The main determinants of internal migration flows fall into three groups: (1) economic and labour market indicators, (2) demographic indicators and (3) housing market and amenities indicators.

Drawing upon cognitive control theory, we examine the effects of self-regulation failure (SRF) on the relationships between perceptions of organizational politics (POPs) and tension, exhaustion, satisfaction, work effort, perceived resource availability and performance/contribution.

We test hypotheses across three unique studies (Study 1: 310 employees from various occupations; Study 2: 124 administrative/support employees; Study 3: 271 Chinese hotel managers) using hierarchical moderated regression analyses.

Across studies, results suggest that POPs had a minimal impact on work attitudes, behaviors and health-related outcomes when SRF was low. However, employees experiencing high SRF reported adverse consequences in high POPS settings.

These studies relied on self-report data. However, we implemented design features to mitigate potential concerns and analytic techniques to determine method effects. This paper contributed to the POPs literature by explaining how SRF and POPs interact to impact meaningful work outcomes.

Leaders should receive training to help them identify and address indicators of SRF. Leaders can also implement intervention programs to help calm employees who experience SRF.

Leaders should receive training to help them identify and address indicators of SRF. Leaders can also implement programs to help assist employees who demonstrate adverse effects from SRF.

This paper integrates the research on SRF and politics to examine the collective impact these variables have on workers. Our three-study package also addresses the call for more studies to examine how politics operate across cultures.

The objective of this paper is to test the validity and reliability of a SOS construct and its dimensions (i.e. self, other and situational) of negative emotions in the context of consumers' service experience (CSE) and the following processes of service recovery by firms (SRF).

A triangular approach was used, based on interviews and a survey in the Norwegian tourism industry. This paper reports the results from the survey consisting of 3,104 customers.

Exploratory and confirmatory factor analyses have been used to examine and test the SOS construct of negative emotions in CSE and SRF. The SOS construct tested has indicated an acceptable fit, validity and reliability.

The SOS construct of CSE and SRF may be seen as a seed for future research in refining and extending endeavors of managing critical incidents in CSE and SRF.

Strategies to manage CSE and SRF should be aimed at solving the three different SOS dimensions of negative incidents in service encounters, namely those that are caused by the customer, the company, or the situation.

The SOS construct brings together, complements and fortifies existing theory and previous research in the context of negative emotions in CSE and SRF.

This paper aims to propose an improved multifunctional control strategy for achieving real, reactive power flow control and the mitigation of power quality issues in grid integrated photovoltaic (GIPV) systems.

The paper proposes a dual stage, three phase, multifunctional GIPV system with modified instantaneous reactive power (IRP) theory-based and modified synchronous reference frame (SRF) theory-based control algorithms for reference template generation with continuous load power requirement tracking. The control structure is designed so as to impart virtual distribution static compensator functionality to the photovoltaic inverter. The dual mode operation in active filter and renewable power injection modes provides enhanced capability to the GIPV system. A comprehensive evaluation of the dynamic behaviour of the GIPV system is carried out for various conditions of irradiance and load under MATLAB/Simulink platform. The performance comparison is done considering an uncompensated system and the GIPV system with both proposed control algorithms.

The extensive simulation results demonstrate that the proposed modified SRF theory-based multifunctional control strategy shows superior performance in real and reactive power flow control; reduction in real and reactive burden of the utility grid; and regulation of dc bus voltage under varying scenarios of irradiance and load. Furthermore, there is improvement of grid power factor and reduction in total harmonic distortion of grid currents in compliance with the IEEE 519 standard even with highly non-linear loads at the point of common coupling.

The proposed modified SRF theory-based multifunctional controller offers a viable solution for power quality enhancement as well as the realization of effective real and reactive power flow control in GIPV systems. Thus, the penetration level of distributed generation can be increased in this era of global energy crisis.

The purpose of this study is to shed greater light on the factors that influence consumer compliance behavior, e.g. SRF, in compliance dependent services (CDS). CDS, e.g. weight loss, retirement savings, education, credit repair, are long term in nature, often requiring lifestyle changes. In addition, and importantly, the customer's role in CDS extends beyond the face‐to‐face interaction and requires the consumer to comply with prescribed behaviors when away from the service provider.

The subjects were 243 female clients (aged 20 to 45) at a weight loss/fitness center located in south India. Subjects were selected from among the new clients who signed up for an eight‐week long weight loss and fitness program which seeks to help clients lose modest amounts of excess weight (averaging approximately ten pounds). On signing up, respondents completed a survey that included several scales of regulatory focus, and a question eliciting reasons for wanting to lose weight.

This study exams the role of self‐regulatory focus (SRF) in long‐term customer compliance behavior in weight loss. A specific measure of SRF led to better outcomes than the generalized measures of SRF.

Though this research project examines consumer behavior in the context of weight loss activities, it has far‐ranging implications for various services requiring consumers to engage in prescribed behaviors over the long run. For example, the success of debt counseling services and retirement savings programs require clients to engage in certain behaviors over the long run. Marketers of CDS programs will be able to use the findings of this research project to find new ways to increase long‐term customer compliance behavior.

From many decades, bearings-only tracking (BOT) is the interested problem for researchers. This utilises nonlinear filtering methods for state estimation as there is only information about the target, i.e. bearing is a nonlinear measurement. The measurement bearing is tangentially related to the target state vector. There are many nonlinear filtering algorithms developed so far in the literature.

In this research work, the recently developed nonlinear filtering algorithm, i.e. shifted Rayleigh filter (SRF), is applied to BOT.

The SRF is tested for two-dimensional BOT against various scenarios. The simulation results emphasise that the SRF performs well when compared to the standard nonlinear filtering algorithm, unscented Kalman filter (UKF).

SRF utilises the nonlinearities present in the bearing measurement through the use of moment matching. The SRF is able to produce the solution in highly noisy environment, long ranges and high dimension tracking.

The purpose of this paper is to examine the dynamics of self-regulatory focus (SRF) in the context of advertising effectiveness pertaining to rational vs emotional appeals. Past research has dichotomized self-regulatory (SR) foci (i.e. prevention or promotion) on the basis of an individual’s so-called “chronic” orientation, i.e. high or low prevention focus; high or low promotion focus. However, psychological theorists purport that SRF is orthogonal and, thus, various combinations of both foci are evident in any given population.

A two (rational appeal vs emotional appeal)×two (utilitarian product vs hedonic product) experimental design was used. Data was collected via an online survey instrument which included the stimulus advertisements (experimental manipulations) and the relevant independent (SRF) and dependent measures (advertising effectiveness).

The findings of this study support application of regulatory focus theory (RFT) as an appropriate framework to study consumer behaviour and as a mechanism by which to segment consumers. However, past advertising research has predominantly examined consumer’s “chronic” foci (i.e. prevention and promotion). This study found that consumers can adopt various combinations of information processing styles and goal orientations and cannot be boxed into dichotomous categories based on either a prevention of promotion focus. As such, the findings reveal very different conclusions in contrast to previous advertising and marketing research in the SRF area.

This study is the first to approach SRF from a quadratic perspective (i.e. involving all SRF combinations). In calling to question the validity of previous findings, this study paves the way for numerous future research opportunities.