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This study aims to explore the most salient contributors to residents' support for tourism. As such, the authors measure residents' fear and risk of coronavirus disease 2019 (COVID-19) and residents' animosity towards tourists as predictors of attitudinal, intentional and behavioural support for tourism in China, Malaysia, Kazakhstan and Iran.

An online survey of 1,318 respondents across four countries was conducted, with data analysed using structural equation modelling.

This study shows that residents' perceptions about tourism development vary in different countries based on the impact of COVID-19, even though some factors, such as perceived risk and fear of COVID-19, have a similar effect on residents' attitudes and intentions to support tourism.

Only residents from four countries participated due to the collaborative effort of researchers from these specific countries.

Insight into residents' perceptions and responses to COVID-19 can aid policymakers and managers in developing effective crisis recovery strategies.

The data from this study can serve as a foundation for future research to examine residents' attitudes and support towards tourism during the post-COVID-19 period.

Unlocking the unrevealing of residents' perceptions and coping mechanisms towards tourists during the pandemic, this research shines a light on their crucial role in the revival of the tourism industry. With an exclusive focus on residents' attitudes and behaviours, this study stands out amongst the few that delve into this crucial aspect of post-pandemic recovery.

Many studies have examined the influence of travel motivation on destination preferences; however, little is known about Muslim tourists’ leisure travel behaviour. This study aims to examine the influence of travel motivation on destination preferences using the moderating effect of religiosity from the perspective of Iranian and Malay Muslims.

Data were collected from 422 Malay and Iranian Muslim students using a purposive sampling technique, and later analyzed using Amos.

Results indicated that generic, Islamic and non-Islamic motivational factors influence social, religious and hedonic avoidance travel preferences. Muslims who are motivated by generic and non-Islamic motivations avoid travels to destinations with the presence of Islamic service and products, while those who are motivated by religious factors prefer destinations with Islamic attributes.

The results of this study highlight the importance of Islamic-related features in destinations for Muslim tourists.

The purpose of this paper is to propose solutions for both discrete‐time and frequency‐domain designs of unbiased H_∞ functional filters for discrete‐time linear systems affected by bounded norm energy disturbances.

The discrete‐time procedure design is based on the unbiasedness of the functional filter using a Sylvester equation; then the problem is expressed in a singular system one and is solved in terms of linear matrix inequalities (LMIs). The frequency procedure design is derived from discrete‐time domain results by defining some useful matrix fraction descriptions and mainly, establishing the useful and equivalent form of the connecting relationship that parameterizes the dynamics behavior between discrete‐time and z‐domain.

The performance of the proposed approach is illustrated with the aid of a practical example. The proposed methods are easily implementable and concern a more general class of systems, as the transformation of the system in a singular one permits to treat the problem of perturbance advanced.

First, the order of this filter is equal to the dimension of the vector to be estimated, which is benefit in case of control purpose (reduction of time calculation comparing to the full order one). Second, all recent works on the functional filtering consider systems which permit to avoid to have advanced perturbation term in the error dynamics; the authors propose here an approach which resolves the H_∞ filtering problem even when the term is present. In addition, it permit to consider more general class of discrete‐time systems. Furthermore, the LMI approaching the discrete‐time case permits to handle with more general problem (H_∞, L₂−H_∞) than the classical Riccati one.

This paper aims to study peroxymonosulfate (PMS) activation in the ultraviolet (UV)/ozone process for toxic cyanide degradation from aqueous solution by a novel and simple method.

Photocatalytic degradation of cyanide (CN^-) was carried out using a bench-scale photoreactor. Optimization of the UV/ozone process for the highest removal of cyanide was obtained. The effect of parameters such as ozone concentration, PMS concentration, temperature, cations (Cu²⁺, Co²⁺ and Fe²⁺), cyanide concentration, anions (bicarbonate, carbonate, chloride, nitrite, nitrate and sulfate [SO42−]) and scavengers (ethanol [EtOH], humic acid, TBA and NaN₃) was investigated for CN- degradation.

Complete removal of 50 mg/L cyanide was obtained in 4 min in an ozone/UV/PMS process. The cyanide removal increased from 49.3% to 100% by adding the persulfate dosage up to 100 mg/L. The effect of various cations (II) on the cyanide degradation was enhanced in the order Cu²⁺ > Co²⁺ > Fe²⁺. Hydroxyl radical based on different radical quenchers such as salicylic acid proved as the main oxidizing radical for oxidation. The application of ozone/UV/PMS to treat wastewater containing cyanide shows high degradation efficiency.

The ozone/UV/PMS system could be a process for degradation and detoxification of cyanide.

This study provided a simple and effective method for degradation of cyanide from aqueous solution. This method was applicable to protect environment from a huge amount of toxic cyanide wastewater produced by different industrial processes.

The PMS activation is done via a simple and effective method, which is carried out with the ozone/UV system. There are two main innovations. One is that the novel catalytic role of bimetallic ions in the ozone reaction with cyanide and the further decomposition of intermediate products is investigated. The other is that the optimized conditions were obtained for the removal of cyanide as a water contaminant. Furthermore, predominant oxidizing species by PMS activation are identified.

This study aims both to develop and validate a measure for inclusive leadership and to test some its potential consequences by examining the relationship between inclusive leadership and different dimensions of work performance (proficiency, adaptivity, and proactivity) through the mediating role of the perceptions of inclusion.

We use data generated from an expert panel (n = 20) and two surveys (n = 235; n = 333) to generate items and establish convergent and discriminant validity. Data were gathered from 363 faculty to examine inclusive leadership's consequences.

The results empirically support Randel et al.’s conceptualization of inclusive leadership and evidence the psychometric properties of the study's scale. The results also empirically support the proposed relationships between inclusive leadership and various work-performance dimensions.

We develop and validate a more comprehensive measure of inclusive leadership and test some of its potential consequences.

This study highlights the demand for low-cost and high accuracy products through the design and development of new 3D printing technologies. Besides, significant progress has been made in this field. A comparative study helps to understand the latest development in materials and future prospect of this technology.

Nevertheless, a large amount of progress still remains to be made. While some of the works have focused on the performances of the materials, the rest have focused on the development of new methods and techniques in additive manufacturing.

This paper critically evaluates the current 3D printing technologies, including the development and optimizations made to the printing methods, as well as the printed objects. Meanwhile, previous developments in this area and contributions to the modern trend in manufacturing technology are summarized briefly.

The paper can be summarized in three sections. Firstly, the existing printing methods along with the frequently used printing materials, as well as the processing parameters, and the factors which influence the quality and mechanical performances of the printed objects are discussed. Secondly, the optimization techniques, such as topology, shape, structure and mechanical property, are described. Thirdly, the latest development and applications of additive manufacturing are depicted, and the scope of future research in the relevant area is put forward.

This research investigates (1) the impacts of working capital investment policy and working capital financing policy on firms’ performances (profitability and market value) and (2) the impact of profitability on market value. Data are gathered from 68 companies listed in the Stock Exchange of Thailand covering production sector. Data collected from 2012 to 2016 are analyzed using path analysis to measure the impacts of working capital policy on performances and examine the consistency of the model and the empirical data.

The model is found to be consistent with the empirical data; the probability level is 0.085, χ ²/df is 2.96, CFI is 0.951, GFI is 0.979, IFI is 0.957, and RMR is 0.004. The result reveals a statistically significant positive relationship between working capital investment policy and profitability. In addition, working capital investment policy affects market value through profitability as a mediator variable. However, there are significant negative impacts of working capital financing policy on profitability and market value. Overall, it can be implied that companies which adopt conservative working capital investment policy and conservative working capital financing policy can increase their profitability and market value.

Many entrepreneurs often struggle with the fear of failure, which can be detrimental to both their business and personal well-being. To better understand the factors that contribute to this fear, the authors conducted research on the impact of various obstacles, such as limited financial resources, risk aversion, stress and hard work avoidance, and prior business failures. Additionally, the authors explored the effects of social capital in mitigating these obstacles and their relationship to fear of failure in entrepreneurship.

The authors conducted a survey with 440 young Iraqi entrepreneurs using non-probabilistic and purposive methods. The survey instrument included multiple measuring scales, which were provided in both English and Arabic. The authors analysed valid responses using structural equation modelling (SEM) with partial least squares (PLS).

The findings show that the fear of failure in entrepreneurship is negatively influenced by factors such as limited financial access, risk aversion, and past business failures. However, aversion to stress and hard work did not have a significant impact. The findings also show that social capital could potentially mitigate these negative factors.

The theoretical and practical implications of this study manifest in revealing the difficulties entrepreneurs encounter in developing countries like Iraq, where entrepreneurship is vital for economic growth. The study's limitations stem from its focus on one country and the use of a single survey method. Future research could use varied methods across multiple countries for a more comprehensive view.

This study sheds light on the factors that are obstacles for entrepreneurs to starting a business in emerging economies like Iraq.

Universities worldwide struggle to retain students, so it is important to identify the factors that may improve retention levels. The research investigates key factors that have an impact upon student satisfaction and students' staying and supportive intentions. Of particular interest is the extent to which organizational identification and institution reputation influence student satisfaction and behaviors.

A conceptual model was developed and tested using covariance-based structural equation modeling. The data were obtained from a survey of 419 first year full-time undergraduate students in the United Arab Emirates.

Perceived quality of teaching, organizational identification and institution reputation were found to be significant predictors of student satisfaction in our model, with student satisfaction having both direct and mediating influences on students' staying and supportive intentions.

The findings suggest that universities should undertake activities that strengthen student-university identification and institution reputation, as these may strongly influence students' attitudes and behaviors. The paper discusses strategies that institutions may implement to develop and maintain organizational identification among students.

The research highlights that although perceived quality of teaching has an influence on student satisfaction, the influences of organizational identification and institution reputation are stronger.

Enterprises are increasingly taking actionable steps to transform existing business models through digital technologies for service transformation such as big data analytics (BDA). BDA capabilities offer financial institutions to source financial data, analyse data, insight and store such data and information on collaborative platforms for a quick decision-making process. Accordingly, this study identifies how BDA capabilities can be deployed to provide significant improvement for financial services agility.

The study relied on survey data from 485 banking professionals' perspectives with BDA usage, IT capability development and financial service agility. The PLS-SEM technique was used to evaluate the underlying relationship and the applicability of the research framework proposed.

Based on the empirical test from this study, distinctive BDA usage grounded on the concept of IT capability viewpoint proof that financial service agility could be enhanced provided enterprises develop technical capabilities alongside other relevant resources.

The study further highlights the need for financial service managers to identify BDA technologies such as data mining, query and reporting, data visualisation, predictive modelling, streaming analytics, video analytics and voice analytics to focus on financial knowledge gathering and market observation. Financial managers can also deploy BDA tools to develop a strategic road map for data management, data transferability and knowledge discovery for customised financial products.

This study is a useful contribution to the burgeoning discussion with emerging technologies such as BDA implication to improving enterprises operations.