Search results

Efficiency standards, similar to industrial measures like overall equipment effectiveness (OEE), are being used in healthcare systems more and more. Performance indicator models applied to machines assume a constant completion time. However, for human resources, the completion time of a task may vary depending on the stress experienced. This study seeks to bridge this gap by integrating the human behavior of the physician into the performance evaluation.

The paper presents a new algorithm called PerfoBalance that is intended to distribute waiting-patient values among doctors. By maximizing each physician’s stress zones, this method helps to improve their performance as a whole. A thorough case study with medical professionals is carried out to confirm the effectiveness of the suggested methodology. The PerfoBalance algorithm is used in a variety of contexts to divide waiting-patient values among doctors and optimize stress zones.

Experimental results demonstrate a significant improvement in physician efficiency when implementing the PerfoBalance algorithm. The algorithm strategically selects stress zones that contribute to higher performance rates for physicians by optimizing waiting-patient values.

By addressing the undervaluation of human performance difficulties in current efficiency models used in the healthcare industry, this research constitutes a significant contribution to the field. With its launch, the PerfoBalance algorithm offers a fresh viewpoint on waiting-patient value allocation and stress zone management in healthcare settings, hence representing a powerful method for increasing physician productivity.

This chapter proposes to understand the prospects of smart technologies that can transform tourism destinations and instigate regenerative development process. Bio-based resource consumption and technology-driven practices aimed for better sustainable development have been the need of the era. This study emphasizes the theory of regenerative tourism, which attempts to preserve and improve a destination's natural and cultural resources while contributing to the socio-economic development of the host communities. It examines how transformational technologies, like smart infrastructure, big data analytics and renewable energy systems, could assist the tourism industry achieve the transition to a green economy. This chapter illustrates the benefits and problems of integrating such technologies into the tourism infrastructure of a destination. Additionally, it highlights the necessity of cooperation among stakeholders and policymakers and examines the possible environmental, social and economic implications of using a regenerative approach to tourism. The results of this study contribute to the expanding body of knowledge on the development of sustainable tourism and shed light on the transformative potential of technology in creating a more sustainable and resilient future.

This study aims to investigate the effect of political turmoil on the firm financial performance, particularly in presence of politically affiliated board of directors.

The study applied panel regression analyses on a data set of Pakistan’s listed companies ranged over 14 years, spanning from 2007 to 2021. Political turmoil was first gauged through three determinants, i.e. political protest, government election and constitutional reform, and thereafter, economic uncertainty index was used as a proxy for political turmoil. For the purpose of political connection, the study used political affiliation of the board of directors.

The study finds that political turmoil has deleterious effect on the return on assets and Tobin’s Q. The study further unveils that politically affiliated firms are relatively insulated from the volatility posed by the political uncertainty and exhibit significantly better financial outcomes.

Findings of the study suggest that appropriate composition of the board is imperative in offsetting the risk posed by the political turmoil. Hence, the results are useful for investors, policymakers and regulators to ensure financial soundness of firms in the wake of political turmoil.

To the best of the authors’ knowledge, this is the first study that investigates the moderating impact of political connection on the performance of companies in presence of political turmoil.

The external confinement provided by the fiber-reinforced polymer (FRP) sheets leads to an improvement in the axial compressive strength (CS) and strain of reinforced concrete structural members. Many studies have proposed analytical models to predict the axial CS of concrete structural members, but the predictions for the axial compressive strain still need more investigation because the previous strain models are not accurate enough. Moreover, the previous strain models were proposed using small and noisy databases using simple modeling techniques. Therefore, a rigorous approach is needed to propose a more accurate strain model and compare its predictions with the previous models.

The present work has endeavored to propose strain models for FRP-confined concrete members using three different techniques: analytical modeling, artificial neural network (ANN) modeling and finite element analysis (FEA) modeling based on a large database consisting of 570 sample points.

The assessment of the previous models using some statistical parameters revealed that the estimates of the newly recommended models were more accurate than the previous models. The estimates of the new models were validated using the experimental outcomes of compressive members confined with carbon-fiber-reinforced polymer (CFRP) wraps. The nonlinear FEA of the tested samples was performed using ABAQUS, and its estimates were equated with the calculations of the analytical and ANN models. The relative investigation of the estimates solidly substantiates the accuracy and applicability of the recommended analytical, ANN and FEA models for predicting the axial strain of CFRP-confined concrete compression members.

The research introduces innovative methods for understanding FRP confinement in concrete, presenting new models to estimate axial compressive strains. Utilizing a database of 570 experimental samples, the study employs ANNs and regression analysis to develop these models. Existing models for FRP-confined concrete's axial strains are also assessed using this database. Validation involves testing 18 cylindrical specimens confined with CFRP wraps and FE simulations using a concrete-damaged plastic (CDP) model. A comprehensive comparative analysis compares experimental results with estimates from ANNs, analytical and finite element models (FEMs), offering valuable insights and predictive tools for FRP confinement in concrete.

Companies are increasingly appointing a Chief Sustainability Officer (CSO) to anchor the need to highlight climate change at the senior management level. This study aims to examine how CSO power and sustainability-based compensation influence climate reporting and carbon performance.

Using one of the largest data sets to date, consisting of 18,834 company years through the author’s observations, spanning an 11-year period (2011–2021) in 33 countries. This paper used quantitative methods – specifically, ordinal logistic regression estimation. This paper measures the level of climate change disclosure based on the carbon disclosure leadership methodology. Carbon performance is based on the intensity of carbon emissions (Scope 1, Scope 2), which is a quantitative and relatively more objective measure.

The results suggest that climate change disclosure continued to increase and the carbon emissions intensity of the companies in this study gradually decreased over the sample period. This paper finds that the presence of the CSO within the top management team has a positive and significant influence on the level of information on climate change of the companies in the sample. This finding confirms the idea that the managerial capacity of CSOs motivates the disclosure of climate change. The empirical results confirm that there are differences in the role that the CSO and sustainability-based compensation play in influencing the quality of climate information disclosure in developed and developing countries.

The recourse on a mixed theoretical framework, which highlights upper echelons theory, argues the understanding of the role of CSOs in explaining the relationship between climate change disclosure–carbon performance relationship. The novelty of the study lies in the approaches adopted to describe the quality of climate change disclosure. To control for endogeneity, this paper uses a difference-in-difference analysis by adding a firm to the Morgan Stanley Capital International index as an exogenous shock.

Food waste, a global conundrum with adverse socioeconomic and environmental implications, occurs when more money is spent on food during occasions akin to Ramadan. This study examines the moderating role of antecedents (festive experience, nostalgic food memory, perceived scarcity, and religiosity) to understand the impacts of excessive food buying on Ramadan food waste.

A cross-sectional survey was performed with a self-administered questionnaire using Google Forms to gather data on social media. Notably, 349 valid responses were analysed via Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 4 for model development and hypothesis testing.

Festive experience, nostalgic memory, and perceived food scarcity could explain excessive buying behaviour. In this vein, excessive food buying contributed to Ramadan food waste. Meanwhile, religiosity was found to moderate excessive food-buying behaviour.

The empirical findings offered useful insights for practitioners and policymakers to implement optimal marketing strategies and interventions that improve responsible consumption and minimise food waste.

This study provided a sound understanding of consumer buying behaviour during Ramadan regarding food waste and overconsumption. The current work delineated the role of descriptive, injunctive norms and cognitive dissonance in shaping buying behaviour during Ramadan.

The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.

The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.

In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.

This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.

This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.

The study’s objective is to assess the impact of employer branding (EB) on person–job fit (PJF), work engagement (WE), internal communication (IC) and employee performance (EP) in tourism businesses. In addition, the study evaluated the mediating roles of PJF, WE and IC between EB and EP.

To gather data, the questionnaire was distributed to 1,024 employees in travel agencies and 746 questionnaires valid for statistical analysis were received.

The findings indicated the positive influence of EB on PJF, WE, IC and EP. These findings also revealed the positive effects of PJF, WE and IC on EP. The partial mediating functions of PJF, WE and IC in the nexus between EB and EP, and the mediating function of PJF in the nexus between EB and WE are highlighted.

General managers should invest in creating a strong EB that highlights the organization's core values, culture and unique features, such as personal development opportunities and a supportive environment.

This study presents and empirically examines an innovative theoretical model that thoroughly evaluates the effects EB, PJF, WE and IC on EP in the lens of Social Exchange Theory (SET).

Section 177 of the Company Act 2013 and Regulation 18 of the Listing Obligations and Disclosure Requirements 2015 allow the audit committee to invite firm executives to participate in the audit committee meetings. In this study, we investigate the negative impact of the presence of invitees in the audit committee on firm value.

The study uses the Propensity Score Matching and Difference-In-Difference methodology (henceforth, PSM-DID) to establish a causal relationship between the presence of invitees and firm value. The final sample consists of 24,232 firm-year observations representing 4,493 distinct firms from 2016 to 2021. We also address the endogeneity and autocorrelation issues using the system-generalized method of moments (henceforth, GMM) as a robustness test.

We find that the presence of invitees in the audit committee decreases the firm value because investors consider this an alarming signal. We further find that the firms, audited by the Big 4, do not experience a decrease in firm value due to higher audit quality, whereas the firms with high promoter ownership experience a decrease due to the presence of agency cost.

We contribute to the literature on firm value and strengthen the literature on the importance of good governance in a developing nation using the signalling theory. This study adds to the understanding of firm value. The findings have implications for management literature and are valuable for policymakers and standard setters in evaluating the impact of disclosures in the capital market. The managerial implications emphasize the need for careful consideration of invitees in audit committees, considering industry, regulatory environment, and firm goals. Firms are advised to assess the benefits and costs, monitor the impact regularly, and strengthen internal controls.