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The intersection of ecological leadership and GHRM: A blueprint for a circular economy
Get PDFThe circular economy now plays a crucial role in addressing ecological challenges. The exact function of green human management (GHRM) in transitioning to a circular economy has yet to be determined. Manufacturing firms are taking steps to enhance their sustainability practices to support the circular economy. The relationship between organizational green actions and GHRM in the transition to a circular economy remains uncertain. This study intends to discover the relationship among manufacturing firms’ ecological leadership, green HR practices, green innovations, and circular economy models to enhance sustainable performance. 234 survey questionnaires from Pakistani small and medium-sized manufacturing industries were evaluated using structural equation modelling with partial least squares. GHRM had a positive and significant impact on circular economy and green innovation actions, as shown by the findings. This framework is specifically designed for manufacturing SMEs in Pakistan. The architecture can be adapted to different industries with minor modifications. The study may be biased due to its reliance on management and specialists. This study’s findings will significantly contribute to human resources managers and SME owner-managers by clarifying the significance and interplay of essential green innovation components and GHRM. This will enlighten awareness of ecological leadership, circular economy, and GHRM practices for sustainable performance. The proposed framework simplifies the connection between ecological leadership, GHRM components, and circular economy for practitioners and decision-makers. Environmental leaders effectively encourage businesses to invest in proactive environmental strategies, lower pollution control, and enhance the performance of green innovation, all while promoting a green image and advancing environmental protection practices. This study determines the appropriate relationship between ecological leadership, circular economy, and GHRM components in the limited Pakistani manufacturing SME environment
Soft total quality management and employee performance: The resonant effect of leader narcissism
Get PDFStemming from the purpose of exploring the changes made by narcissism in the context of hospitality enterprises with total quality management (TQM) implementation, this study proposes a multi-level analytical framework taking into account the moderating effect of leader narcissism on the relationship between soft TQM practices and employee performance on the basis of the abilities, motivations, opportunities framework and the social information processing theory. The analysis of survey data from 1,155 employees from mid- to high-end hotels in two famous tourist cities in Vietnam allowed us to empirically test the relationship between these constructs. The findings showed that communication, teamwork, training and development create significant improvements in employee performances. More importantly, the moderating role for leader narcissism is confirmed in the relationship between training and development and employee performance. Therefore, the study highlighted theoretical implications related to a holistic approach to narcissism – the controversial psychological characteristics of leaders in the workplace. In addition, a number of managerial implications have been provided for hotel managers in enhancing the effectiveness of TQM implementation for improved performance through promoting the role of narcissistic leaders
GEOMETRIC AND MECHANICAL MODELING OF WEFT-KNITTED FABRICS USING HELICOID SCAFFOLDS
Get PDFWe present a bicontinuous, minimal surface (the helicoid) as a scaffold on which to define the topology and geometry of yarns in a weft-knitted fabric. Modeling with helicoids offers a geometric approach to simulating a physical manufacturing process, which should generate geometric models suitable for downstream analyses. The centerline of a yarn in a knitted fabric is specified as a geodesic path, with constrained boundary conditions, running along a helicoid at a fixed distance. The shape of the yarn’s centerline is produced via an optimization process over a polyline. The distances between the vertices of the polyline are shortened and a repulsive potential keeps the vertices at a specified distance from the helicoid. These actions and constraints are formulated into a single “cost” function, which is then minimized. The yarn geometry is generated as a tube around the centerline. The optimized configuration, defined for a half loop, is duplicated, reflected, and shifted to produce the centerlines for the multiple stitches that make up a fabric. The approach provides a promising framework for estimating the mechanical behavior/properties of weftknitted fabrics. Fabric-level deformation energy may be estimated by scaling the helicoid scaffold, computing new yarn paths, determining the amount of ensuing yarn stretch, and computing the total amount of yarn stretching energy. Computational results are calibrated and verified with measurements taken from actual yarns and fabrics
A logistic regression approach to long-term bankruptcy prediction: The role of financial and non-financial indicators
Get PDFThe main aim of the research is to examine the possibility of developing logistic regression (LR) model that could reliably predict the bankruptcy of Serbian companies three years in advance based on financial and non-financial variables. This is important both for business owners and external stakeholders. Owners can predict failure on time and define remedial measures and action plans in accordance with that. External stakeholders, on the other hand, can use these models to identify financial risks before deciding to start cooperation with a specific company. The main motive for the research stems from the lack of bankruptcy prediction models in the scientific community of the Republic of Serbia, especially when it comes to long-term prediction. It is necessary to predict bankruptcy early enough to be able to take measures. A prediction one year in advance, which is a common case in the existing literature, may be too late to preserve the business’s future. According to the authors’ findings, no long-term prediction models have been developed for the Serbian market. Existing traditional models are developed for foreign countries, meaning they are not suitable for developing countries like Serbia. The research sample includes 94 companies of all sizes and is balanced: half of the companies are healthy, and the other half are bankrupt. A total of 36 financial and 7 non-financial independent variables are included in the modelling. Financial analysis is done in MS Excel, while statistical analysis (logistic regression) is done in IBM’s SPSS program v. 26. The research results demonstrate that statistical and financial analyses are effective for bankruptcy prediction modelling, considering that the generated model has significant predictive (classification) power of 80%
NUMERICAL SIMULATIONS OF 3D-DISTANCE FABRICS
Get PDFThis paper presents the results of numerical simulations conducted on inflated panels made from 3D distance fabrics. 3D distance fabrics constitute a subset of 3D woven fabrics. If coated, the structure of the fabric permits the formation of a panel with parallel layers through the process of air inflation. The pressurised air creates a stiff, lightweight and fail-safe structure that can be utilised in a multitude of applications. The mechanical behaviour of these panels can be described analytically by appropriate mathematical theory; however, this approach remains limited to common loading cases. This paper presents computational method for numerical simulations of inflated panels, including determination of the deflections of skins and the distribution of stress. The simulations are based on the results of material property tests and a nonlinear geometric model. The results are then compared with the mathematical theory and experimental data. The results demonstrate the efficacy of this approach and illustrate its advantages. Furthermore, an illustrative example of a specific loading case is presented to demonstrate the versatility of this approach for predicting the behaviour and conducting structural analysis of loaded 3D fabric panels
THE DEVELOPMENT OF STONE WASHING PROCESS FOR DENIM WITH ALTERNATIVE MATERIALS USING FOAM APPLICATION TECHNIQUE
Get PDFDenim fabrics are fabrics dyed with indigo dye. As the garments produced from denim fabrics are washed, the indigo dye is easily removed from the product. The color of the product is bleached by the transfer of the dye in the product to the washing environment, the solution. Since indigo dye is a dye that can be easily eroded, especially by physical and chemical methods; it is also known as 'living dye'. In the conventional washing processes of denim products, the solution is first contaminated when the indigo dye passes into the solution. The return of this unbound dye found in the solution to the product is called 'back dyeing'. The most contaminated parts in back dyed products are the white pockets, labels and potassium permanganate (KMnO4) applied parts of the product. Back dyeing occurs in the process called 'stone washing', where pumice stone is mostly used in wet processes. Pumice stone is a round and oval shaped stone with a rough surface collected from volcanoes. In order to obtain the desired appearance, the products are rotated in a wet environment in denim industrial washing machines with stones. Stones scrape off the dye particles from the surface of the dyed yarn and give the desired result. Stones can damage the garment and washing machine due to their high abrasion. They leave stone dust and residues on the garments and inside the pockets. This causes the addition of extra rinsing and manual pocket cleaning processes. The stone used as a physical abrasive melts after the abrasion effect and passes from the drain to the channel after a certain number of washes and becomes solid waste. By extending the abrasion feature of the stone, the physical waste rate left in the solution can be reduced. The dirt containing paint and stone waste coming out of the products after abrasion is carried to other products in the machine with the water in the solution. It causes the dirt to contaminate other products. For this purpose, physical abrasives that are not easy to melt and foam are combined in a water-free environment in the machine
Do inconsistent online reviews reduce sales for merchants on the platform? Evidence from China
Get PDFInconsistent online reviews are the norm in online shopping. However, platform merchants often believe that inconsistent online reviews have a negative impact on sales. They delete or hide negative reviews in pursuit of consistent praise. So, do inconsistent online reviews really reduce sales? In view of this, this study explores the impact of inconsistent online reviews on the sales of platform merchants based on the stimuli-organism-response (S-O-R) theory and service remediation theory, as well as its mechanism and boundary conditions. And using 5,487 crawler data and 447 questionnaire data, employing both ordinary least squares (OLS) model for empirical analysis. Moreover, in order to verify the robustness of the empirical results comprehensively and rigorously, four methods of changing the measurement model, adjusting the sample size, changing the data source and transforming the assignment were used to carry out the robustness test. The results show that the inconsistent online reviews have a significant inverted U-shaped effect on the sales of platform merchants. Brand image plays a significant mediating role in the influence of inconsistent online reviews on consumers’ purchase intention. And peer response conflict has a significant moderating effect on the impact of online review inconsistency on consumers’ purchase intention. Therefore, platform merchants should take a rational and open attitude towards inconsistent online reviews. In addition, platform merchants can adopt intelligent management methods for online reviews, pay attention to the shaping and strengthening of brand image, and pay attention to peer effect through social marketing, so as to maximize the benefits brought by the inconsistency of online reviews and minimize the potential negative impact of the inconsistency
ELECTROSPUN BIO-NANOCOMPOSITE WEBS BY CELLULOSE NANOCRYSTAL (CNC)- LOADED POLYLACTIDE AND ITS BLENDS
Get PDFIn this study, effects of polylactide (PLA) melt flow rate, and dichloromethane (DCM)/dimethyl sulfoxide (DMSO) solvent blend ratio on cellulose nanocrystal (CNC) dispersion quality in PLA/CNC bionanocomposites, prepared via solution casting, were studied. Besides, the electrospinning behaviour of CNC-loaded PLAs and its blends with poly(butylene adipate-co-terephthalate) (PBAT) was explored. The rheological analysis confirmed good CNC dispersion ability in PLAs with high melt flow rate specifically in solvents comprising DMSO. Besides, it was observed that CNC loading directly affected the morphological structure of the obtained nanofibrous webs. Thermal analysis indicated that CNCs acted as a nucleation agent and promoting the crystallization process by lowering cold crystallization temperatures and increasing the degree of crystallinity. The outcomes provide a groundwork for future studies on the fabrication of bionanocomposite webs from PLA/PBAT blends for a variety of applications