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Understanding how attributes, consequences and values (A-C-V) influence the predisposition to purchase and buying intention of organic food consumers (OFC) is crucial for its stakeholders. This study aims to (1) investigate whether OFC perceptions of the A-C-V impact their predisposition to purchase and buying intention; (2) examine the mediating effect of predisposition to purchase on the relationship between OFC personal values and their buying intentions and (3) verify whether consumers with distinct levels of organic food-buying intention perceive differently of the A-C-V, predisposition to purchase and consumption frequency.

This quantitative study comprised 307 consumers who filled out a form about their perceptions of organic foods’ A-C-V and their consumption frequency, purchasing predisposition and buying intention. Partial least squares strutural equation modelling (PLS-SEM) tested the hypothetical model that resorted to the means-end chain (MEC) theory (Gutman, 1982). Cluster analysis based on OFC’s buying intentions compared their perceptions of the A-C-V, purchasing predisposition and consumption frequency.

The OFC’s perception of the attributes of these foods impacts the consequences of their consumption and values. Such values positively influence their purchase predisposition and buying intention. Predisposition to purchase measured the relationship between OFC values and purchase intention. Three OFC clusters were identified according to their buying intentions. Such groups perceive the A-C-V singularly and have different purchasing predispositions and consumption frequencies.

OFC values directly influence buying intentions. However, the predisposition to purchase strongly mediates the relationship between values and buying intentions, producing an indirect impact more notable than a direct one. It brings academic and managerial contributions to organic food stakeholders.

Milling is a flexible creation process for the manufacturing of dies and aeronautical parts. While machining thin-walled parts, heat generation during machining essentially affects the accuracy. The workpiece temperature (WT), as well as the responses like material removal rate (MRR) and surface roughness (SR) for input parameters like cutting speed (CS), feed rate (F), depth-of-cut (DOC), step over (SO) and tool diameter (TD), becomes critical for sustaining the accuracy of the thin walls.

Response surface methodology was used to make 46 tests. To convert the multi-character problem into a single-character problem, the weightage was assessed using the entropy approach and the grey relational coefficient (GRC) was determined. To investigate the connection among input parameters and single-objective (GRC), a fuzzy mathematical modelling technique was used. The optimal performance of process parameters was estimated by grey relational entropy grade (GREG)-fuzzy and genetic algorithm (GA) optimization.

SR was found to be a significant process parameter, with CS, feed and DOC, respectively. Similarly, F, DOC and TD were found to be significant process parameters with MRR, respectively, and F, DOC, SO and TD were found to be significant process parameters with WT, respectively. GREG-fuzzy-GA found more suitable for minimizing the WT with the constraint s of SR and MRR and provide maximum desirability of 0.665. The projected and experimental values have a good agreement, with a standard error of 5.85%, and so the responses predicted by the suggested method are better optimized.

The GREG-fuzzy-GA is a new hybrid technique for analysing Inconel625 behaviour during machining in a 2.5D milling process.

This paper aims to examine the current quality of work-life (QWL) situation and the effectiveness of labor laws for promoting QWL in the context of Nepalese workplaces.

It uses a descriptive-interpretative-qualitative approach to analyze the responses. Information is gathered through discussions with 85 higher- and middle-level managers of large and medium-sized organizations.

The majority of Nepalese organizations accept safe and healthy working conditions, social relevance of work-life, social integration in the work organization, and work and total life space as the key aspects of QWL. They have become even more critical as a result of the COVID-19 pandemic. However, they face challenges in providing employees with opportunities for continued growth and security, immediate opportunity to use and develop human capacities, adequate and fair compensation and constitutionalism in the work organization. QWL-related provisions in Labour Act, 2017, play a vital role in promoting the QWL situation. The QWL programs offer many benefits to employees’ private and working lives. The lack of such programs would undoubtedly have negative consequences for Nepalese companies. Compliance with labor laws will promote a better QWL situation at Nepalese workplaces.

Only managerial perspectives are considered for examining the current situation of QWL and the effectiveness of QWL-related provisions of the Labour Act, 2017. It excludes the views of union leaders.

This paper indicates that labor laws’ QWL-related provisions are effective. It also provides several policy measures for promoting a better QWL in Nepalese workplaces.

This study presents QWL-related legal provisions and the actual situation at the workplaces of Nepal. It also presents the key aspects of QWL in the context of Nepal.

The purpose of this paper is to generate nitrogen-containing groups in the cotton fabric surface via low-temperature nitrogen plasma as an eco-friendly physical/zero-effluent process. This was done for rendering cotton dye-able with Acid Blue 284, which in fact does not have any direct affinity to fix on it.

Dyeing characteristics of the samples such as color strength (K/S), fastness properties to light, rubbing and perspiration and durability, as well as tensile strength, elongation at break, whiteness, weight loss and wettability in addition to zeta potential of the dyed samples, were determined and compared with untreated fabric. Confirmation and characterization of the plasma-treated samples via chemical modifications and zeta potential was also studied using Fourier transform infrared spectroscopy (FTIR) and Malvern Zetasizer instrumental analysis.

The obtained results of the plasma-treated fabric reflect the following findings: FTIR results indicate the formation of nitrogen-containing groups on cotton fabrics; notable enhancement in the fabric wettability, zeta potential to more positive values and improvement in the dyeability and overall fastness properties of treated cotton fabrics in comparison with untreated fabric; the tensile strength, elongation at break, whiteness and weight % of the plasma treated fabrics are lower than that untreated one; and the durability of the plasma treated fabric decreased with increasing the number of washing cycles.

The novelty addressed here is rendering cotton fabrics dye-able with acid dye via the creation of new cationic nitrogen-containing groups on their surface via nitrogen plasma treatment as an eco-friendly and efficient tool with a physical/zero-effluent process.