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While serious mental illness (SMI) and substance use disorders (SUD) are common, less research has focused on causal beliefs across conditions. This is an important question when trying to understand the experience of dual diagnosis. The purpose of this paper is to examine how three factors representing causal beliefs (biogenetic, psychosocial or childhood adversity) differ by SMI and SUD. This study also examined how causal beliefs were associated with overall, process and outcome beliefs about recovery.

Using Mechanical Turks online panel, 195 research participants from the general public completed measures of recovery – overall, outcome and process – for SMI and SUD. Participants also completed the Causal Beliefs Scale yielding three causal factors for SMI and separately for SUD: biogenetic, psychosocial and childhood adversity.

Results indicated participants endorsed biogenetic cause more for SMI and SUD. Moreover, research participants endorsed biogenetic causes more than the other two for SMI. Results also showed the psychosocial cause was positively associated with recovery for SMI. Biogenetic causes were not. Almost none of the causal indicators was significantly associated with recovery for SUD.

Implications of these findings for future research and public efforts to enhance attitudes about recovery are discussed.

This study aims to examine the reliability and validity of the Arabic version of the attribution questionnaire (AQ).

The AQ is designed to assess attitudes, affects and behavioral intentions related to a hypothetical person diagnosed with schizophrenia. The original English version was translated into Literary Arabic. A total of 310 students registered in different universities, with medical and paramedical establishments excluded completed the Arabic version of AQ. Reliability was tested using Cronbach’s alpha coefficients. Structural equation modeling was used to test hypothesized paths. Correlations among exogenous (e.g. responsibility) and endogenous (e.g. help) variables in the path were examined. Fit indicators were then examined for equations that were identified.

The results revealed that the Arabic version of AQ showed acceptable psychometric properties in the assessment of stigma in the Tunisian population. All factors of this Arabic version showed Cronbach’s alpha values equal to or greater than 0.72. Structural equation models for the responsibility and dangerousness models were mostly supported. The Arabic version of AQ is valid and reliable for the assessment of stigma in Tunisian and Arabic-speaking populations.

The Arabic version of AQ may be used to promote research on stigma toward people with mental illness in larger and more representative Tunisian and Arabic-speaking populations, which will help to further address the complex and multifaceted phenomenon of stigma toward people with mental illness.

This is the first validated stigma measure in the Tunisian socio-cultural context.

In this study, it is aimed to correctly weigh the criteria for the selection of qualified manager in a healthcare facility and to make the right selection among candidates with an objective method. In this study, in which the health manager selection was carried out with fuzzy Analytical Hierarchy Process (AHP) and MULTIMOORA methods, 8 candidates were evaluated according to 12 personnel selection criteria. Comparative matrices of qualified health manager selection criteria were presented to the expert opinion and analyzed with the fuzzy AHP method. According to the analysis result, among the 12 criteria; The “Crisis Management Skill” criterion is in the first place with 12.5% weight; The “Social Responsibility Awareness” criterion was found to be in the last place with 3.2% weight. The MULTIMOORA method was applied by analyzing the interview scores and criterion weightings of the candidates evaluated by the jury. According to the results of MULTIMOORA, Candidate 1 first place and Candidate 6 ranked last.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

WO₃ particles were prepared by the sol-gel method. Tetraethyl silicate (TEOS) was used to obtain a SiO₂-coated WO₃ nanoparticle. Quantum chemical parameters of oleic acid, triethanolamine, glycerol and methyl pentane as dispersants were theoretically calculated. Tribological properties of SiO₂/WO₃ nanocomposite lubricant were carried out on an MRS-10A four-ball friction and wear tester.

The purpose of this study is to investigate the preparation and tribological properties of SiO₂/WO₃ nanocomposite lubricant.

The obtained SiO₂-coated WO₃ nanoparticle (nano-SiO₂/WO₃) with a particle size of about 70 nm. The calculated adsorption energy of triethanolamine on the surface of the steel ball is 554.6 eV, and triethanolamine is selected as the dispersant. The dispersion effect of SiO₂/WO₃ nanocomposite lubricant is good, which shows that triethanolamine oleate plays a good dispersion role in the preparation of lubricant, which is consistent with the calculation results of the adsorption capacity of dispersant. As a good auxiliary lubricant, SiO₂ can improve the tribological properties and wear resistance of WO₃.

Nanocomposite lubricants have been the focus of research in recent years, which could greatly reduce energy consumption. And the SiO₂/WO₃ exhibited excellent lubrication performance as a lubricant additive. The lubrication mechanism of SiO₂/WO₃ nanocomposite lubricant is the synergistic lubrication mechanism of friction film lubrication and antifriction bearing. This study could provide a certain reference for the practical application of nanocomposite lubricants.

It is unclear what constitutes the tourism live streaming (TLS) servicescape and how it affects users' travel intention (TI). The study aims to explore the composition of the TLS servicescape, the influence mechanism of the TLS servicescape on users' TI and the formation of users' TI.

Based on stimulus organism response theory (SOR), we develop a mediation model to explore the influence of TLS servicescape on users' TI. This study collected data from 432 Chinese TLS users through an online questionnaire, and we used the structural equation model and the SPSS PROCESS macro to test the proposed model. In addition, we tested the variable relationships using fuzzy-set qualitative comparative analysis (fsQCA).

TLS servicescape is a second-order variable that can be categorized into physical element (PE), social element (SOE), symbolic element (SYE) and natural element (NE). TLS servicescape influences TI by affecting social presence (SP) and customer engagement (CE). The fsQCA reveals seven combinations of PE, SOE, SYE, NE, SP and CE that form a high TI for TLS users.

Using multiple data analysis methods, the study emphasizes the significance of the TLS servicescape for TLS. It explores how to evoke users' TI in TLS and provides a reference for TLS marketing.

The purpose of this research is to identify the antecedents and consequences of satisfaction when using Instagram. We also aim to verify if the intention to follow an account and interact with it positively influences the endorsed brand attitude, resulting in purchase intention on Instagram.

We undertook primary data collection through a quantitative, descriptive and cross-sectional approach, applying a nonprobabilistic sampling method by convenience and accessibility. We conducted data collection by means of an online questionnaire, which gained 447 respondents. The data analysis technique was SEM-PLS.

The results indicated that utility, entertainment and socialization tend to predict user satisfaction when using Instagram, and this satisfaction tends to generate a following and interacting behavior with other users. The results also suggest that by establishing this continuous relationship with other users, there is a greater possibility of users endorsing the brands presented to them, which may lead to greater purchase intention.

We bring relevant information to companies for the development of virtual engagement, allowing them to better develop a strategy for reaching new Instagram followers by analyzing their behavior.

The study expands the field of uses and gratifications (U&G) theory in the use of Instagram, using antecedents of satisfaction. In relation to consequences, this study includes in the model a commercial base in terms of endorsed brand attitude and purchase intention.

The entrepreneurial ecosystem within Chinese vocational colleges offers a unique platform to investigate the interplay between entrepreneurial passion, education and intention. This study aims to assess the effect of entrepreneurial education on alertness, passion and mindset, in turn, on entrepreneurial orientation and intentions. In addition, the study examines the mediating role of the entrepreneurial mindset between entrepreneurial passion and education; and to identify the moderating effect of entrepreneurial self-efficacy between entrepreneurial orientation and intentions.

Using a cross-sectional methodology based on self-reported data from students across various Chinese vocational colleges, the study used a quantitative method to derive its findings.

The results highlighted a strong positive effect of entrepreneurial education on passion, mindset and alertness. The study also found that an increased emphasis on entrepreneurial education fostered a proactive entrepreneurial orientation, a significant predictor of entrepreneurial intentions. The entrepreneurial mindset played a pivotal mediating role, enhancing the direct effects observed. Moreover, students with higher entrepreneurial self-efficacy exhibited a more substantial inclination towards entrepreneurial intentions, further buttressed by their orientation.

This study underscores the critical role of fostering passion, education and self-efficacy in cultivating entrepreneurial intentions among students in Chinese vocational colleges, offering valuable theoretical and managerial implications for educators and policymakers alike.

The application of mobile augmented reality (MAR) for enhancing user experiences and consumer patronizing intention has been the focus of recent MAR literature. Few studies examine the differences between apps. This study fills the research gap by examining how consumers assess their experiences with different MAR applications and how their decision-making process is performed, particularly in the setting of smartphones.

A web-based online survey was administered to collect data on consumers' perceptions of two different MAR apps: utilitarian and hedonic apps. Reliability and validity of the measurement scales, non-response bias and comment method bias were assessed. With the support of measurement model, partial least square (PLS) was employed to test the research hypotheses.

This study reveals that the technological attributes of augmented reality (AR) apps have significant effects on consumer perceptions of their utilitarian and hedonic benefits, including interactivity, visual quality, service quality, technicality and aesthetics. Moreover, this study shows that consumers of hedonic apps place more importance on their enjoyment with the MAR app; consumers of utilitarian apps focus more on the accrued functional values. The findings provide practical insights for retailers in AR marketing and application development in the MAR environment.

This study provides a comprehensive viewpoint for analyzing ongoing use and purchase intentions simultaneously in a unified theoretical framework. In addition, it compares different types of MAR apps: hedonic and utilitarian. Furthermore, it is one of the first few studies attempting to provide a comprehensive understanding of the predictive role of MAR technologies by incorporating privacy concerns into the research model based on user and gratification framework.

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.