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This study aims to investigate how major big bath accounting practices and CEO turnover in Egypt relate to one another, as well as the first to use the CEO’s origin as a moderating factor.

This study uses 10-year longitudinal data from 2012 to 2021 and 290 firm-year observations from Egypt’s listed nonfinancial firms that witnessed CEO turnover to identify the significant big bath accounting practices in Egyptian businesses after the Egyptian revolution and the COVID-19 pandemic. Using fixed and random effect models, the authors investigate the impact of CEO turnover on company earnings during the first year of a newly appointed CEO as an indicator of big bath practices after controlling CEO gender, experience, firm size, leverage, return on assets, return on equity and industry. The hypotheses were investigated using static panel data.

The results show the presence of big bath practices in the Egyptian market. Furthermore, big bath accounting practices are positively correlated with CEO turnover. Moreover, the results indicate that big bath accounting practices are only endured when external CEOs are employed, rather than internal ones.

The sample size and availability of data are the main research limitations. In addition, this study only examined CEO turnover and CEO origin as moderators in big bath accounting. Thus, future research may consider other CEO characteristics and political factors associated with big bath practices.

The findings from this study offer valuable insights to investors and regulators for effective decision-making and governance practices within the Egyptian capital market, while also contributing to a more informed approach to emerging markets on a global scale.

The findings contribute to the big-bath and CEO turnover and origin literature by showing a lower ceiling for earnings manipulation and using Egypt as a case study due to its unique institutional environment.

This study aims to observe the coloring efficacy of graphite (G) and nano bentonite clay (BCNPs) on the adsorption of Basic Blue 5 dye from residual dye bath solution.

Some factors that affected the adsorption processes were examined and found to have significant impacts on the adsorption capacity such as the initial concentration of G and/or BCNPs (Co: 40–2,320 mg/L), adsorbent bath pH (4–9), shaking time (30–150 min.) and initial dye concentration (40–200 mg/L). The adsorption mechanism of dye by using G and/or BCNPs was studied using two different models (first-pseudo order and second-pseudo order diffusion models). The equilibrium adsorption data for the dye understudy was analyzed by using four different models (Langmuir, Freundlich, Temkin modle and Dubinin–Radushkevich) models.

It has been found that the adsorption kinetics follow rather a pseudo-first-order kinetic model with a determination coefficient (R²) of 0.99117 for G and 0.98665 for BCNPs. The results indicate that the Freundlich model provides the best correlation for G with capacities q_max = 2.33116535 mg/g and R² = 0.99588, while the Langmuir model provides the best correlation for BCNPs with R² = 0.99074. The adsorbent elaborated from BCNPs was found to be efficient and suitable for removing basic dyes rather than G from aqueous solutions due to its availability, good adsorption capability, as well as low-cost preparation.

There is no research limitation for this work. Basic Blue 5 dye graphite (G) and nano bentonite clay (BCNPs) were used.

This work has practical applications for the textile industry. It is concluded that using graphite and nano bentonite clay can be a possible alternative to adsorb residual dye from dye bath solution and can make the process greener.

Socially, it has a good impact on the ecosystem and global community because the residual dye does not contain any carcinogenic materials.

The work is original and contains value-added products for the textile industry and other confederate fields.

Due to herbs and plants’ therapeutic properties and simplicity of availability in nature, humans have used them to treat a variety of maladies and diseases since ancient times. Later, as technology advanced, these plants and herbs gained significant relevance in some industries due to their suitable chemical composition, abundant availability and ease of access. Aegle marmelos is a species of plant that may be found in nature. Yet, little or very little literature was located on the coloration behavior of this plant’s leaves. This study aims to focus on the effect of different parameters on the extraction of colorant from Aegle marmelos leaves.

Some factors that affected on the extraction processes were examined and found to have significant impacts on the textile dyeing such as the initial dye concentration, extracted temperature, extracted bath pH and extracted time were all changed to see how they affected color extraction. The authors report a direct comparison between three heating methods, namely, microwave irradiation (MWI), ultrasonic waves (USW) and conventional heating (CH). The two kinetic models have been designed (pseudo-first and pseudo-second orders) in the context of these experiments to investigate the mechanism of the dyeing processes for fabrics under study. Also, the experimental data were analyzed according to the Langmuir and Freundlich isotherms.

From the result, it was discovered these characteristics were found to have a substantial effect on extraction efficiency. Temperature 90°C and 80°C when using CH and USW, respectively, while at 90% watt when using MWI, period 120 min when using CH as well as USW waves, while 40 min when using MWI, and pH 4, 5 and 10 for polyamide, wool and cotton, respectively, were the optimal extraction conditions. Also, the authors can say that wool gives a higher absorption than the other fabric. Additionally, MWI provided the best color strength (K/S) value, and homogeneity, at low temperatures reducing the energy and time consumed. The coloring follows the order: MWI > USW > CH. The adsorption isotherm of wool could be well fitted by Freundlich isotherm when applying CH and USW as a heating source, while it is well fitted by the Langmuir equation in the case of MWI. In the study, it was observed that the pseudo-first-order kinetic model fits better the experimental results of CH with a constant rate K₁ = −0.000171417 mg/g.min, while the pseudo-second-order kinetic model fits better the experimental results of absorption of both MWI (K2 = 38.14022572 mg/g.min) and USW (K₂ = 12.45343554 mg/g.min).

There is no research limitation for this work. Dye was extracted from Aegle marmelos leaves by applying three different heating sources (MWI, ultrasonic waves [USWW] and CH).

This work has practical applications for the textile industry. It is concluded that using Aegle marmelose leaves can be a possible alternative to extract dye from natural resource by applying new technology to save energy and time and can make the process greener.

Socially, it has a good impact on the ecosystem and global community because the extracted dye does not contain any carcinogenic materials.

The work is original and contains value-added products for the textile industry and other confederate fields.

This study aims to synthesize new disperse dyes based on novel pyrazolyl quinolinone derivatives EQ1 and EQ2 and evaluate their characteristics after dyeing them on a polyester fabric.

New dispersed dyes based on pyrazolyl quinolinone derivatives were prepared and confirmed by different analyses, such as infrared spectroscopy, elemental microanalysis and nuclear magnetic resonance spectroscopy. They were dyed on a polyester fabric. The characteristics of dyed polyester were determined by color measurements such as a*, b*, L*, C*, E, Ho, R% and color strength. The electronic structures of EQ1 and EQ2 in gaseous state were investigated using density functional theory/B3LYP/6-311++G (d, p) level of theory.

The suitability of the prepared dyestuffs for dyeing on polyester fabrics has been investigated. The study was concerned with comparing the contrasting depth of shade and levelness. The study was concerned mainly with dye uptake and color measurements at two different temperatures. The results showed that the exhaustion values of dyes inside the polyester at 130°C were higher than those obtained at conventional dyeing temperature (100°C). The exhaustion values of EQ2 were greater than those of EQ1 at 130°C with 2.2%, while the brightness of EQ2 was higher than that of EQ1 at the two investigated temperatures. The results of molecular orbital calculations show that the studied compounds are planar. In addition, the ionization potential of EQ1 was lower than that of EQ2. The results of the theoretical study helped in understanding the dyeing behavior of the investigated azo dyes.

The prepared disperse dyes based on pyrazolyl quinolinone derivatives could be used in textile dyeing of polyester on an industrial scale.

This study examines the dynamics of the modesty-conscious market within the global fashion industry. Specifically, the research aims to understand and analyse the preferences of consumers in this market segment and provide guidance for fashion companies seeking to engage with this sizable audience consumer demand for modest fashion, such as loose-fitting garments and headscarves for women.

Employing a mono-method quantitative research approach, this study uses a comprehensive big data analytics framework to analyseashion data sets obtained from e-commerce websites.

The findings highlight a persistent and growing demand for modest fashion; that demand proved resilient in the face of challenges presented by the COVID-19 pandemic. Modest shoppers demonstrate price sensitivity, and their preference for premium brands over affordable ones varies considerably. Crucial factors contributing to the success of modest clothing as best-sellers include price, retailer, colour and fabric, while the discount feature is less important.

While this research provides significant insights, it is important to acknowledge its limitations. This study relies on data gathered from certain e-commerce websites, and specific nuances of consumer behaviour may not be fully captured. In addition, the scope is limited to a specific timeframe and may not account for long-term market shifts.

Fashion companies could use the results of this study to customise their strategy for engaging the modesty-conscious demographic. Comprehending the significance of elements such as price, retailer, colour and fabric can allow firms to enhance their product offerings and marketing strategies.

This study highlights the social ramifications of the modesty-focused industry, stressing the changing tastes and requirements of customers within this sector. By aligning their strategies with these societal shifts, fashion companies can contribute to a more inclusive and diverse industry landscape.

This research contributes to the academic literature on modest fashion by using a unique combination of exploratory data analysis and machine learning techniques with fashion e-commerce data sets. This study addresses a gap in the use of big data within this field, and provides novel insights into consumer demand for modest garments. This study challenges the prevailing assumption that consumers of modest fashion prioritise premium pricing, and offers fresh insights into their price sensitivity across both mass-market and luxury segments. It contributes to the literature on consumer behaviour in niche fashion markets and introduces a theoretical framework for understanding the intersection of fashion, culture and consumer economics within the context of modest fashion.

In spite of offering clear benefits and increased availability, relatively few service research studies rely on eye-tracking. Therefore, this paper aims to assist service researchers in harnessing the vast capabilities of eye-tracking technologies and methods for their own inquiries.

In addition to systematically reviewing extant research in the service domain and the wider marketing field with respect to the fundamentals and practices of eye-tracking, this paper presents a concise, empirical eye-tracking demonstration. These contributions suggest future outlooks for how to incorporate eye-tracking more effectively in service research.

The systematic literature review informs a comprehensive framework for integrating eye-tracking in service research that comprises research question focus regarding higher-order psychological constructs of interest, appropriate study settings, sample composition, optimal eye-tracking equipment and operationalization considerations.

By establishing a common ground and recommended uses of eye-tracking for service research, this study equips service scholars with the knowledge they need regarding eye-tracking fundamentals, common practices and future outlooks. A simple, empirical example further demonstrates some options for unlocking the unique capabilities of eye-tracking in service research and uncovering the complexities inherent to service experiences and other core service concepts.

This paper compiles and contextualizes insights from existing eye-tracking research, which it uses to draw important lessons for deploying eye-tracking in service domains.

This study aims to explain the link between employee psychological ownership (EPO) and work engagement (WE). The authors conceptualize EPO as a combination of various personal resources, i.e. self-efficacy, self-identity, accountability, belongingness and territoriality, and expected it to positively contribute to WE.

The authors analyze survey data from employees of a public service organization in Greece and verify key findings using a two-wave cross-sectional survey design targeting a heterogeneous population of employees in the United States of America.

The findings indicate that EPO is positively related to WE and job satisfaction mediates the relationship between EPO and WE. Furthermore, the authors' results support the discriminant validity between promotive EPO, preventative EPO (territoriality), WE and job satisfaction.

The present study provides a deeper understanding of EPO, as it is explained in the theoretical foundations of the job demands-resources model (JD-R) model and helps us understand how EPO can affect WE.

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.

The study aims to attain insights into the impact of destructive leadership and citizenship pressures in inducing employee silence through the lens of social exchange and the conservation of resources theory. The research further relies on Friedkin’s attitude-behaviour linkage framework (2010), while taking into account the role of employees’ defensive cognitive evaluations, as against the previously accented emotion-focused explanations.

In order to corroborate the pertinence and contextual relevance of the framework, a survey-based study was conducted with a purposively selected sample of 133 full-time employees from the systemically important banks. The sample size was determined through an a-priori power analysis using G*Power, and the hypothesized serial mediation model was tested using PLS-SEM in SmartPLS v_4.0.

The findings accentuate the significance of destructive leadership in navigating employees’ silence directly and serially through continuance commitment and compulsory citizenship behaviours. The study also underlines that rather than being portrayed as unidimensional outcomes centered on attitudes, employee behaviours ought to be considered contingent retorts under attitude-behaviour cascades.

The study contributes to strategic human resource management literature by offering a cognition-based explanation for employees’ silence, taking Pakistan’s cultural and contextual orientation into cognizance. Extending on the attitude-behaviour linkage framework, the study provides that attitudes shaped by defensive cognitive evaluations may concurrently foster involuntary (citizenship) as well as voluntary (silence) behaviours.

The purpose of this study is to use liposome technology in the treatment of fabrics textiles because of its efficient energy saving, reducing time and temperature.

The newly prepared lecithin liposome was used to encapsulate dyes for the purpose of increasing dyeing affinity. Different ratios of commercially available lecithin liposomes (1%, 3%, 5% and 7%) were used simultaneously in the dyeing of cotton and wool fabrics. The treated fabrics (cotton and wool fabrics) were confirmed using different analytical procedures such as scanning electron microscope (SEM), Fourier-transition infrared spectroscopy, ultraviolet protection factor, colour strength (K|S) measurements and fastness measurements.

The results show that increasing liposome ratios in dyeing baths leads to increased dyeing affinity for cotton and wool fabrics compared with conventional dyeing without using liposomes. In addition to that, the colour strength values, infrared spectra, SEM and fastness properties of non-liposome-dyed fabrics and liposome-dyed fabrics were investigated.

The research paper provides broad spectrum of green encapsulation fabrics using liposome technology to perform the dye stability, dye strength and fastness.