The dark triad and counterproductive work behaviours: A multiple mediation analysis

Prior studies on the dark side of the organisation tend to overlook some important mediator(s) in the relationship between the dark triad personalities (D.T.P.s) and counterproductive work behaviour (C.W.B.). Hence, this study examines the multiple-mediation model by incorporating perceived organisational politics and perceived accountability in the relationship between D.T.P.s and C.W.B. The sample of 290 employees is selected through a random sampling technique from the hospitality industry. Partial least squares structural equation modelling (P.L.S.-S.E.M.) and bootstrapping are employed to examine the multiple-mediation model. The results show that perceived organisational politics and perceived accountability mediate the association of the D.T.P.s and C.W.B. Our findings provide policymakers with a vision into the existence of the D.T.P.s and their potential consequences for C.W.B. This study encourages decision-makers and practitioners to develop an ethical climate, job standards, and systems of accountability to achieve productive goals

Quality of life in tertiary healthcare services: lessons from the Saudi Arabia accreditation system

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Exploring shared risks through public-private partnerships in public health programs: a mixed method

Abstract Background The natural assimilation of the process through which health partners sustain long-term relationships is a key issue in maintaining social well-being, reducing health risk factors, and sustaining public health programs. One global initiative in building effective healthcare systems is public-private partnerships (PPPs). This study elucidates the proposed key performance indicators initiated by the Ministry of Health of Saudi Arabia based on the projections of the government, known as Vision 2030, from the perspective of health risk factors. Methods Through an inductive content analysis, this study assessed primary and secondary data in relation to the Saudi National Transformation Program (NTP). To identify the institutions that played a role in formulating the new Saudi Healthcare System, health policies, regulations, and reports published between 1996 and 2016 were categorized. After ranking the risk factors, the investigator selected 13 healthcare professionals in four focus group interviews to insightfully explore the challenges that the NTP faces from a health risk perspective. Thus, the study employed qualitative data gathered through focus group interviews with key figures as well as data extracted from written sources to identify distinct but interrelated partnerships practiced within risk management. Results A methodological overview of NTP priority and implementation offered practical guidance in the healthcare context. The five critical factors in maintaining successful and sustainable PPPs were (1) trustworthiness, (2) technological capability, (3) patient-centeredness, (4) competence, and (5) flexibility. Concession on primary and secondary healthcare services might be a good option based on the literature review and considering its popularity in other countries. A high outcome-based risk of PPPs was found as the most commonly shared perspective in risk management. Conclusions Although the impact of the NTP rise has yet to be explored, its potential for challenging health consequences requires consideration and substantial regulatory action. This study contributes to the emerging critical analysis on local health initiatives by highlighting how integration may only be possible with a more radical conceptualization of national health governance

Quality of Care and Quality of Life: Convergence or Divergence?

The aim of this study was to explore the impact of quality of care (QoC) on patients’ quality of life (QoL). In a cross-sectional study, two domains of QoC and the World Health Organization Quality of Life-Bref questionnaire were combined to collect data from 1,059 pre-discharge patients in four accredited hospitals (ACCHs) and four non-accredited hospitals (NACCHs) in Saudi Arabia. Health and well-being are often restricted to the characterization of sensory qualities in certain settings such as unrestricted access to healthcare, effective treatment, and social welfare. The patients admitted to tertiary health care facilities are generally able to present themselves with a holistic approach as to how they experience the impact of health policy. The statistical results indicated that patients reported a very limited correlation between QoC and QoL in both settings. The model established a positive, but ultimately weak and insignificant, association between QoC (access and effective treatment) and QoL ( r = 0.349, P = 0.000; r = 0.161, P = 0.000, respectively). Even though the two settings are theoretically different in terms of being able to conceptualize, adopt, and implement QoC, the outcomes from both settings demonstrated insignificant relationships with QoL as the results were quite similar. Though modern medicine has substantially improved QoL around the world, this paper proposes that health accreditation has a very limited impact on improving QoL. This paper raises awareness of this topic with multiple healthcare professionals who are interested in correlating QoC and QoL. Hopefully, it will stimulate further research from other professional groups that have new and different perspectives. Addressing a transitional health care system that is in the process of endorsing accreditation, investigating the experience of tertiary cases, and analyzing deviated data may limit the generalization of this study. Global interest in applying public health policy underlines the impact of such process on patients’ outcomes. As QoC accreditation does not automatically produce improved QoL outcomes, the proposed study encourages further investigation of the value of health accreditation on personal and social well-being

Examining the informal urban growth trends in a Port city

Rapid urban developmental growth is a heated debate worldwide due to environmental challenges. This research has examined the spatiotemporal trend of informal built-up growth in Karachi city. Using a geo-information system, the past twenty years (2000–2020) trends of informal built-up growth are examined. For attaining the research objectives, geo-referenced high-resolution maps and satellite images are used for accuracy based spatial data. Karachi is divided into five different land use and land cover (LULC): formal built-up, informal built-up, vacant, water bodies, and green spaces. Spatial data of informal built-up growth change of five different years, 2000, 2005, 2010, 2015, and 2020 are generated through acquired maps digitization using ArcMap. Subsequently, the gains and transfers of Karachi's informal built-up growth based on five years 2000–2005, 2005–2010, 2010–2015, and 2015–2020 are analyzed using the Land Change Modeler (LCM) in IDRISI software. Also, land use land cover changes (LULCC) are predicted for the next 40 years (2020–2060) using the integrated Cellular Automata Markov (CA-Markov) simulation model in IDRISI. The results revealed that Karachi's built-up is expanding rapidly. Land conversion into the informal built-up area is alarming, as it has changed from 144.31 km2 to 217.19 km2 with 72.88 km2 in the past twenty years (2000–2020) and has occupied green and agricultural land. Most informal built-up areas have transitioned from vacant (71.01 km2) land use land cover (LULC). The informal built-up area could expand from 217.19 km2 to 317.63 km2, with about 100.44 km2 up to 2060. The planned and unplanned development will be towards the city's East (E) direction and will convert and ruin agriculture and vacant land. The present study provides suggestions to urban planners, administrative authorities, and policymakers to control informal growth and achieve sustainable development goals in developing countries

How Do Global Uncertainties Spillovers Affect Leading Renewable Energy Indices? Evidence from the Network Connectedness Approach

By using data from 2018 to 2022 and employing quantile VAR time-frequency and quantile VAR spillover models, this study investigates the spillover connectedness between global uncertainties, namely, geopolitical risk, economic policy uncertainty, and climate policy uncertainty, and seven leading global renewable energy indices. The results show strong total connectedness (82.87%) between renewable energy and uncertainty indices. DJRE, R&CE, MSCIEE, WRE_cpu, GEPU_C, and GEPU_P are found to be net receivers, and WRE to be net transmitters of spillovers. Additionally, the MSCIEE sector is the least connected, i.e., 2.51%, followed by the R&CE sector at 4.55%, while the ERE sector is the most connected one, i.e., 65.8%. We discover that the two market-based uncertainties have less impact than economic policy uncertainty (EPU), which has a significant impact. The conclusions have ramifications for decision-makers and investors in the renewable energy markets from the standpoint of sustainable development. The study reveals diversification avenues and recommends that investors consider MSCIEE and R&CE sectors for parking their funds because of lower risk, i.e., less connectivity and greater diversification

Diverse Repertoire and Relationship of Exopolysaccharide Genes in Cold-Adapted Acinetobacter sp. CUI-P1 Revealed by Comparative Genome Analysis

This study focused on the exploration of microbial communities inhabiting extreme cold environments, such as the Passu and Pisan glaciers of Pakistan, and their potential utilization in industrial applications. Among the 25 initially screened strains, five were found to be suitable candidates for exopolysaccharide (EPS) production, with strain CUI-P1 displaying the highest yield of 7230.5 mg/L compared to the other four strains. The purified EPS from CUI-P1 was tested for its ability to protect probiotic bacteria and E. coli expressing green fluorescence protein (HriGFP) against extreme cold temperatures, and it exhibited excellent cryoprotectant and emulsification activity, highlighting its potential use in the biotechnological industry. Furthermore, the genome of Acinetobacter sp., CUI-P1 comprised 199 contigs, with a genome size of 10,493,143bp and a G + C content of 42%, and showed 98.197% nucleotide identity to the type genome of Acinetobacter baumannii ATCC 17978. These findings offer promising avenues for the application of EPS as a cryoprotectant, an essential tool in modern biotechnology

Ṣukūk or Bond, Which Is More Sustainable during COVID-19? Global Evidence from the Wavelet Coherence Model

Understanding the co-movement and lag–lead relations among indices is integral to financial decision making. These parameters show the reactiveness of the market towards new information. Understanding them helps to minimize risk and facilitates optimal portfolio diversification. By employing the wavelet coherence econometric model, the authors of this study analyzed the intricate relations among the Bond and Ṣukūk indices using global data belonging to the United States (US), the United Kingdom (UK), Middle East and North Africa (MENA), and Gulf Cooperation Council (GCC) countries. The findings indicated the presence of strong but similar implications of the initial shock of COVID-19 deaths on both Islamic and conventional markets’ volatilities, especially in long-term investment bands (64–128 days). The results oppose the general belief that Islamic finance is more sustainable and less volatile to crises than its traditional counterparts. Moreover, the authors of this study report diverse relationships among bond and Ṣukūk indices throughout the sample periods. We consistently found low correlations in short-term investment bands (4–16), leading to optimal diversification opportunities. However, high correlations were reported due to COVID-19 in the long-term investment bands (128–256), leading to low diversification opportunities for long-term investors

Advance Dynamic Panel Second-Generation Two-Step System Generalized Method of Movement Modeling: Applications in Economic Stability-Shadow Economy Nexus with a Special Case of Kingdom of Saudi Arabia

Applying an advance dynamic panel second-generation two-step system generalized method of movement modeling, this study endeavors to bridge the gap in the literature by examining the association between shadow economy and economic stability in multiple countries with a special case of the Kingdom of Saudi Arabia. The study has been motivated by the evidence that the shadow economy is a persistent source of the decline in tax revenue, which is the main source of funds for any economy to run welfare packages for the public. In addition, it also impacts the economy’s financial stability and amplifies the losses. Saudi Arabia is selected as a special case given its global significance and participation in the group of the fastest growing economies in the world. Thus, this study finds a negative association between the shadow economy and economic stability in the case of the full sample and a sub sample of Saudi Arabia. In other words, our study supports the point of view of those scholars who claim that the shadow economy is harmful to the economy. Based on the empirical findings, the study recommends that policymakers need to give importance to the shadow economy while formulating economic stability policies in the case of a full sample, especially in Saudi Arabia. Similarly, the robustness of the results is tested using different model specifications and alternative estimation techniques