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This study aimed to examine the impact of COVID-19 concerns on employees’ well-being, considering workplace stress, aggression, and emotional outcomes, such as emotional engagement, emotional exhaustion, and negative emotional reactions. This study also considers the moderating role of technostress between workplace stress and aggression, which has been overlooked in previous studies.

Data were collected from frontline hotel employees in Turkey. Online data were collected through Amazon Mechanical Turk services. A total of 250 questionnaires were distributed. Nevertheless, only 204 questionnaires with valid responses were usable for analysis through partial least square-structural equation modeling (PLS-SEM).

The analytical findings showed that COVID-19 concerns (financial, social gaze, and technological) cause workplace stress, resulting in aggression. Aggression subsequently affects the employees’ emotional outcomes, impacting their emotional well-being. Furthermore, the results showed that technostress insignificantly moderates workplace stress and aggression.

This study provides valuable practical implications to the hotels’ top management, practitioners, and policymakers to provide preventive measures to employees, such as wearing masks and maintaining distance. Hotel practitioners should limit employees’ direct contact with customers and reduce factors that result in overall financial losses and create financial stress for employees.

The current study examined the relationships between the study’s variables in Turkey’s hotel industry context by employing the conservation of resources (COR) theory. The study investigated stress and aggression phenomena, their impact on employees’ emotional responses, and ultimately their influence on the employees’ well-being.

The present research aims to investigate the impact of “COVID-19 phobia” factors (psychological, social, economic and psychosomatic) on career anxiety and perceived distress. Further, this research assesses whether career anxiety and perceived distress foster or diminish students' employability confidence.

“Partial Least Squares Structural Equation Modeling (PLS-SEM)” has been used to analyze the data.

The results depict that factors (psychological, economic and psychosomatic) are positively and significantly associated with career anxiety and perceived distress. However, social factors indicate an adverse impact on perceived distress. Further, career anxiety and perceived distress positively influence employability confidence, but the associations are not highly impactful.

This research elucidates an unexplored phenomenon in the context of a developing country that coronavirus disease 2019 (COVID-19) phobia scale (i.e. psychological, social, economic and psychosomatic) result in career anxiety and distress. Moreover, no studies highlighted the direct impact of career anxiety and perceived distress on employability confidence.

This study aims to investigate the effect of the copresence of ferrous (Fe²⁺) ions and sodium dodecyl sulfate (SDS) on the activity of an amylase enzyme during the desizing of greige viscose fabric for potential industrial applications. The removal of starches is an essential step before processing the fabric for dyeing and finishing operations. The authors tend to accomplish it in eco-friendly and sustainable ways.

The experiments were designed under the Taguchi approach, and the results were analyzed using grey relational analysis to optimize the process. The textile properties of absorbency, reducing sugars, bending length, weight loss, Tegawa rating and tensile strength were assessed using the standard protocols. The control and optimized viscose specimens were investigated for certain surface chemical properties using advanced analytical techniques including scanning electron microscopy (SEM), X-ray diffraction (XRD) and thermal gravimetric analysis (TGA).

The results demonstrate that the Fe²⁺ concentration and process time were the main influencing factors in the amylolytic desizing of viscose fabric. The optimized process conditions were found to be 0.1 mm Fe²⁺ ions, 3 mm SDS, 80°C, 7 pH and 30 min process time. The copresence of Fe²⁺ ions and SDS promoted the biodesizing of viscose fabric. The SEM, Fourier transform infrared spectroscopy, XRD and TGA results demonstrated that the sizing agent has efficiently been removed from the fabric surface.

The amylase desizing of viscose fabric in the presence of certain metal ions and surfactants is a significant subject as the enzyme may face them due to their prevalence in the water systems. This could also support the biodesizing and bioscouring operations to be done in one bath, thus making the textile pretreatment process both economical and environmentally sustainable.

The authors found no report on the biodesizing of viscose fabric in the copresence of Fe²⁺ ions and the SDS surfactant under statistical multiresponse optimization. The biodesized viscose fabric has been investigated using both conventional and analytical approaches.

Consumer purchasing behavior (CPB) plays a crucial role within the hospitality sector, specifically in restaurants situated in China, as it directly impacts the performance and profitability of businesses. In this context, there is a need to assess the factors influencing CPB. Therefore, this research seeks to inspect the influence of consumer attitudes (CA) on interpersonal influences (II) and CPB. Additionally, seeks to explore the mediation of II and the moderation of corporate social responsibility (CSR).

This study utilized cross-sectional data obtained through online surveys. To analyze the data, structural equation modeling was employed.

The research unveils a substantial and positive association between CA, II and CPB. It also found that II partially mediates CA and CPB association. Moreover, CSR was identified as a moderator in the connection between CA and CPB.

The implications of this study are of great significance for companies operating in the hospitality industry. They indicate that cultivating favorable CA and promoting II, while considering CSR initiatives, can effectively augment overall purchasing behavior. As a result, it can contribute to the achievement of business success.

This study offers a unique perspective on the factors driving purchasing behavior, shedding light on how businesses can enhance their performance and profitability in this specific setting.

The study aims to inspect the impact of employees’ perception of corporate social responsibility (CSR) and their spiritual values on their affective commitment and job satisfaction, which in turn may promote organizational citizenship behavior. Furthermore, this study examines the moderating effect of Islamic work ethics to identify whether they strengthen or weaken the proposed associations.

A survey instrument was devised to collect data from employees. The statistical analysis of the data was conducted using the Smart PLS software. Additionally, the research uses the “Partial Least Square-Structural Equation Modelling (PLS-SEM)” technique.

The findings of the study suggest that employees’ perception of CSR exhibits a positive association with affective commitment and job satisfaction. Likewise, employees’ spiritual values demonstrate a positive and significant correlation with affective commitment and job satisfaction. Finally, the outcomes reveal that affective commitment and job satisfaction play a major role in fostering organizational citizenship behavior. Moreover, Islamic work ethics positively and significantly moderate the relationship between employee CSR perception and affective commitment and between employee CSR perception and job satisfaction.

This research study endeavors to fill the gaps in the current literature by investigating two crucial aspects of employees: their perception of CSR and spiritual values. Additionally, the study includes Islamic work ethics as a moderator to provide a more comprehensive understanding of how these factors contribute to fostering organizational citizenship behavior. This work highlights the significance of spiritual values and social responsibilities in employees’ lives and how Islamic work ethics shape their behavior accordingly.

No study examines the role of human resources management (HRM) and information technology (IT) in stimulating supply chain learning (SCL) and operational performance. The purpose of this study is to empirically examine the impact of HRM and IT on SCL (i.e. internal, supplier and customer learning) and operational performance using socio-technical systems theory.

On the basis of data obtained from 213 Chinese manufacturing firms, the authors apply structural equation modeling to test the conceptual model.

This study finds that HRM improves all three dimensions of SCL, whereas IT improves internal and supplier learning only. The authors also observe that internal and customer learning improves operational performance. Supplier learning, on the other hand, has no influence on operational performance.

This study offers new guidelines that help managers to better understand how to design sociotechnical systems to improve SCL and operational performance.

The results of this study provide a novel framework to recognize linkages between socio-technical systems, SCL and operational performance.

This study aims to investigate the long-run relationship between financial inclusion and agricultural growth in Pakistan for the period of 1960–2018.

The autoregressive distributed lag (ARDL) approach, the Johansen co-integration test and the dynamic ordinary least squared (DOLS) method are used for the evaluation.

The results show that in both short- and long run, domestic credit has a significantly negative impact on the agricultural growth, while broad money and cropped area positively affected the agricultural growth in Pakistan in both cases.

The government and policymakers need to develop strategies that bring together agriculturalists on a single platform so that the government can clearly distinguish the interests of these farmers and can obtain precise information for allocating agricultural expenditure and easing access to credit for small-scale agriculturalists.

This is the first study to evaluate the impact of financial inclusion on the agricultural growth in Pakistan by using different econometric techniques, including the ARDL-bound approach, Johansen co-integration test and DOLS method.

In 2016, Kingdom of Saudi Arabia (KSA) initiated Saudi Vision 2030, an ambitious plan to lessen the country's dependency on fossil fuels and increase economic diversification. The Vision 2030 framework strives to establish a thriving economy, a vibrant society and an ambitious nation. This study aims to investigate the role of green service innovation (SI) and green work engagement (WE) in mediating the nexus between green human resource management (HRM) and green creativity (GC) under conditional role of spiritual leadership (SL).

A survey was done of 300 female intrapreneurs working in the organization within Saudi Arabia. This study has collected data via stratified random sampling technique. The framework was tested using PLS-SEM software.

The findings reveal that WE fully intervenes the nexus between green HRM and GC. Moreover, SL positively moderates the nexus between green HRM and SI.

Thus, based on findings, it is recommended that female intrapreneurs prioritize environmentally responsible operations to gain and sustain competitive edge over rivals in Saudi competitive market.

This study aims to investigate whether organizational complexity (hereafter firm complexity) increases audit report lag (ARL) in a unique environment of GCC countries.

The research study uses a panel data set of 6,084 firm-year observations of nonfinancial firms from GCC economies from 2009 to 2022. First, the study uses an ordinary least square estimator to examine the association of firm complexity with ARL. Second, for robustness purposes, the study applies the propensity score matching technique.

This research study finds that the firms’ complexity increases ARL. Supporting the argument that auditors respond to firm complexity with increased effort, the authors find a positive relation of firm complexity with ARL. This relationship is augmented by auditor change, auditors’ tenure, auditor-qualified opinion and adoption of IFRS. In addition, the authors also find that Big-4 and audit firm industry specialization curtail the positive impact of firm complexity on ARL.

Firms in the GCC have less time to complete their audit and complex firms are likelier to have bigger ARLs. This study provided evidence regarding the curtailing effect of audit quality in GCC. Our findings suggest policymakers and reformers choose improved audit quality to reduce the possibility of larger ARL.

This study enriches the scholarship by presenting a mechanism for reducing the ARL of complex firms through higher audit quality. This study contributes to agency theory by emphasizing audit quality’s important role in emerging markets.

Quality assessment of textile products is of prime concern to intimately meet consumer demands. The dilemma faced by textile producers is to figure out the stability among quality criteria and efficiently deal with target specifications. Hence, the basic devotion is to attain the optimum value product which entirely satisfies the views and perceptions of consumers. Selection of best fabric among several alternatives in the presence of contradictory measures is a disputing problem in multicriteria decision-making.

In the current study, the analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) are proficiently used to solve the problem in selection of branded woven shawls. AHP method verifies comparative weights of the criteria selection, while the ranking of fabric alternatives grounded on specific net-outranking flows is executed through PROMETHEE II method.

The collective AHP and PROMETHEE approaches are applied for the useful accomplishment of grading of branded shawls based on multicriteria weights, used for effective selection of fabric materials in the textile market.

In the apparel industry, fabric and garment manufacturers often rely on hit-and-trial methods, leading to significant wastage of valuable resources and time, in achieving the desirable fabric qualities. The implementation of the findings can assist apparel manufacturers in streamlining their fabric selection processes based on multiple criteria. By adopting this method, industry players can make informed decisions, ensuring a balance between quality standards and consumer expectations, thereby enhancing both product value and market competitiveness.

The methods of Visual PROMETHEE and AHP are assimilated to offer a complete method for the selection and grading of fabrics with reference to multiple selection criteria.