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The purpose of this paper is to originate a statistical model for delamination factor, surface roughness, machining force and also to determine and compare the effects of machining parameters (spindle speed, fiber orientation angle, helix angle and feed rate) on the output responses during end-milling of glass fiber reinforced polymers (GFRP) by using desirability functional analysis (DFA) and grey relational analysis (GRA).

Based on Taguchi’s L27 orthogonal array, milling experiments were carried on GFRP composite plates employing solid carbide end mills with different helix angles. The machining parameters were optimized by an approach based on DFA and GRA, which were useful tools for optimizing multi-response considerations, namely, machining force, surface roughness and delamination factor. A composite desirability index was obtained for multi-responses using individual desirability values from DFA. Based on this index and grey relational grade the optimum levels of parameters were identified and significant contribution of parameters was ascertained by analysis of variance.

Fiber orientation angle (66.75 percent) was the significant parameter preceded by feed rate (15.05 percent), helix angle (7.76 percent) and spindle speed (0.30 percent) for GFRP composite plates.

Multi-objective optimization in end-milling of GFRP composites using DFA and GRA has not been performed yet.

The purpose of this paper is to present a new method to optimize the electro chemical machining process parameters for titanium alloy (Ti6Al4V).

The desirability function analysis (DFA), fuzzy set theory with trapezoidal membership function and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method are used to optimize the electro chemical machining process parameters for titanium alloy (Ti6Al4V). In recent years, the utilization of titanium and its alloys, especially of Ti6Al4V materials, in many different engineering fields has undergone a tremendous increase. The ECM process has a potential in the machining of Ti6Al4V. The machining parameters such as electrolyte concentration, current, applied voltage and feed rate with multiple responses such as material removal rate (MRR) and surface roughness (SR) are considered. Experimental work is carried out on Ti6Al4V using second order central composite rotatable design. The two responses are converted into global knit quality index using DFA. Fuzzy set theory with trapezoidal membership function is used to convert all machining parameters and responses into fuzzy values. Then a TOPSIS approach which determines the optimal machining parameters in terms of higher closeness coefficient is proposed to optimize the machining parameters of ECM for titanium alloy. Finally, ANOVA is performed to investigate the significance of each machining parameter and to identify the most influencing factor which affects the process responses.

The optimal machining parameters for ECM process are determined using desirability function analysis, fuzzy set theory and TOPSIS.

A new method is proposed to optimize the electro chemical machining process parameters for titanium alloy.

This study aims to explore the machinability of ZrB₂ using electrical discharge machining (EDM) with different tool materials.

The workpiece for this study was fabricated through powder metallurgy compaction method. The disc is machined using diamond load grinding to have parallel surfaces, then, 2 mm diameter holes are machined on the disc using EDM spark erosion machine with different tool materials (graphite, aluminium, tantalum, niobium, copper, brass, silver, tungsten and titanium). Roundness, geometry of hole, and diameter of the hole at different diametric planes, surface roughness (SR), material removal rate (MRR), tool wear rate (TWR), taper angle and recast layer (RCL) thickness are measured. The photographic analysis of tools, holes in the top view, bottom view and sectional view. SEM analysis was conducted to study the recast layer. Desirability function analysis was employed to rate the performances of tools.

A new theory is developed which relates recast layer thickness with melting point and thermal conductivity of the tool materials. Machining of ZrB₂ by EDM is feasible; graphite is identified as the best tool. Recast layer thickness of the machined surfaces are indirectly proportional to the product of melting point and thermal conductivity of tool. Ablation behaviour of ceramic workpiece lead additional material losses in the tool.

Extremely high strength and hardness of ZrB₂ due to the coexistence of strong covalent and metallic bond make mechanical machining very difficult or even impossible. No machinability studies were conducted previously on ZrB₂ using EDM; this work reveals machinability study of ZrB₂ with different tool materials.

This paper aims to investigate the effects of build parameters and strain rate on the mechanical properties of three-dimensional (3D) printed polylactic acid (PLA) by integrating digital image correlation and desirability function analysis. The build parameters included in this paper are the infill density, build orientation and layer height. These findings provide a framework for systematic mechanical characterization of 3D-printed PLA and potential ways of choosing process parameters to maximize performance for a given design.

The Taguchi method was used to shortlist a set of 18 different combinations of build parameters and testing conditions. Accordingly, 18 specimens were 3D printed using those combinations and put through a series of uniaxial tensions tests with digital image correlation. The mechanical properties deduced for all 18 tests were then used in a desirability function analysis where the mechanical properties were optimized to determine the ideal combination of build parameters and strain rate loading conditions.

By comparing the tensile mechanical experimental properties results between Taguchi's recommended parameters and the optimal parameter found from the response table of means, the composite desirability had increased by 2.08%. The tensile mechanical properties of the PLA specimens gradually decrease with an increase in the layer height, while they increase with increasing the infill densities. On the other hand, the mechanical properties have been affected by the build orientation and the strain rate in similar increasing/decreasing trends. Additionally, the obtained optimized results suggest that changing the infill density has a notable impact on the overall result, with a contribution of 48.61%. DIC patterns on the upright samples revealed bimodal strain patterns rendering them more susceptible to failures because of printing imperfections.

These findings provide a framework for systematic mechanical characterization of 3D-printed PLA and potential ways of choosing process parameters to maximize performance for a given design.

The purpose of this study is to investigate the evaluation of desirability/feasibility and adoption intention for the self-service technology of “older” consumers. This study also aims to show that the evaluation of desirability/feasibility and adoption intention varies depending on the type of customer value provided by self-service technology. Moreover, the authors improve the understanding of “older” consumers by comparing the adoption behavior through three proxies that express consumer aging: chronological age, subjective age and future time perspective.

This study was performed as an experimental design by manipulating advertisement messages of self-service technology for online grocery shopping according to customer values. There are two analytic methods applied in this study. First, the current study compares the effects of chronological age, subjective age and the future time perspective on the evaluation and adoption intention of self-service technology by using structural equation modeling. Second, this study examines the moderation effect of customer values by conducting a multi-group analysis.

The results of current research indicate that the future time perspective explains participants’ evaluation and adoption intention of self-service technology compared to chronological age and subjective age. Specifically, participants who perceive their future time to be limited, rather than expansive, negatively assess the expected desirability and feasibility of self-service technology. In addition, the results of the moderation test show that the future time perspective affects more significantly the evaluation and adoption intention of self-service technology when the functional value is emphasized rather than emotional or social value.

The results of this study showed that the effect of future time perspective on expected desirability and feasibility was almost significant in each sub-dimension, but there were relatively few factors influencing trial intention. In this respect, it is necessary to look into the impact of the details of desirability and feasibility along with other variables known to influence the adoption of self-service technology related to aging. It would be meaningful to find and operationalize items that are valid for older consumers, rather than the desirability and feasibility elements typically applied to self-service technology.

This study contributes to the extension of the socioemotional selectivity theory that has been suggested to interpret older consumers’ behaviors. This research applies the concept of future time perspective to the assessment of desirability and feasibility and adoption intention. At the same time, for the marketing managers, the comparison between proxies that represent aging proposes the ways to attract “older” consumers with appropriate emphasis on customer values.

This paper aims to explore when and why consumers hold inconsistent and consistent choices between self- and gift-purchases.

Across three paper-based questionnaire experiments, the authors examine how consumers’ preferences for desirability and feasibility vary with purchase types (self- vs gift-purchases) based on the functional theories of attitudes. The authors examine consumers’ attitude functions and their self-monitoring closely associated with chronic attitude functions.

The findings show that the social adjustive function moderates whether consumers hold consistent or inconsistent preferences across the two purchases. Specifically, consumers generally rely more on desirability in gift-purchases than self-purchases, whereas this inconsistent preference only exists when the social adjustive function is comparable or advantaged to the utilitarian function. When the social adjustive function is significantly disadvantaged relative to the utilitarian function, consumers consistently prefer feasibility irrespective of self- or gift-purchases.

The research contributes to the familiar topic of consumers’ choice trade-offs between self- and gift-purchases. It documents the moderating role of the social adjustive function of consumers’ attitudes in whether they hold consistent or inconsistent choices across the two purchases. This extends the extensive research on self-other decisions.

The findings strongly suggest retailers identify or manipulate consumers’ attitude functions to make the attitude functions align with the purchase type when recommending products.

Most relevant literature focuses on exploring choice differences between self- and gift-purchases. This research not only explores the choice differences but also attempts to find the condition under which people’s choices do not differ between the two purchases.

Luxury is a growing sector worldwide. This creates a major managerial challenge: How can luxury brands prevent becoming a victim of their own success? Once objective rarity is lost, what other levers still sustain desire for these luxury brands, nurture their dream and, thus, prevent the dilution of desirability created by their growing penetration and sales?

Based on 1,286 actual luxury consumers interviewed about 12 highly known and successful luxury brands on 42 experiential and perceptual items, a PLS hierarchical fourth-order latent variables model unveils the paths of luxury dream building.

The authors have identified how, beyond mere physical rarity and very high quality, eight experiential and perceptual levers fuel luxury desirability through two structural paths: selection and seduction.

The concept of luxury is associated to rarity. But to grow, luxury brands need to abandon mere scarcity and selectivity (value created by limitation of production, highly selective distribution and selection of customers) and switch instead to an “abundant rarity”, where feelings of privilege are attached to the brand itself, seducing through its experiential facets, pricing, prestige and the world it symbolizes.

Luxury executives can use this paper as a compass to manage, sustain and monitor their brand desirability, all along the brand’s growth, as it moves away from being niche and rare.

Considering the growing social diffusion of the need for luxury in different strata of the population, this paper reveals the levers of the attractiveness of the mega-brands of luxury.

This paper addresses the main problem of the luxury industry: How to grow yet remain desirable. It is based on 1,286 actual luxury buyers and 12 actual brands. Thanks to PLS modelization, the structure of the levers of brand desirability is revealed.

Many consumer-focused corporate social responsibility (CSR) studies suggest a positive link between the responsibility demonstrated by a company and consumers’ intention to favor the company in their purchases. Yet an analogous causal effect between corporate social and financial performances is not evident. This chapter conceptualizes how social desirability and cynicism contribute to the discrepancy between consumers’ attitudes and their actual purchase behavior, and analyzes why consumer choices indicated in surveys do not consistently convert into actions.

We develop a conceptual framework based on hybrid choice modeling to estimate the impact of two new variables, Corporate Social Desirability and Corporate Social Cynicism, on CSR research. The model presented synthesizes research findings from the fields of CSR and psychology with a discrete choice methodology that allows inclusion of psychological aspects as latent variables.

The goal of the framework is to bridge the gap between choices stated by consumers in CSR surveys and their actual choices by quantifying and extracting the effects of biases that otherwise threaten the validity of such survey results. As the next step, the practical value of the model must be evaluated through empirical research combining a CSR choice study with social desirability and cynicism measurement.

The framework proposes a novel way of controlling CSR surveys for potential biases created by social desirability and cynicism and enables quantification of this impact, with potential application to other fields where psychological aspects may distort research results. Future empirical evidence based on the framework may also offer new insights into the mechanisms by which the two biases distort findings.

This paper aims to discover consumer segments with different behavioral profiles in the mobile phone market. For this purpose, it seeks to analyze the decision‐making criteria of 302 mobile phone consumers in Turkey and cluster the sample meaningfully into four behaviorally different groups.

Factor analysis is conducted on 32 different attributes to which consumers attach importance in purchasing a mobile phone. Nine major decision‐making criteria emerge from this analysis. These criteria are used for segmenting this consumer market into four behavior clusters, namedly as pragmatic, abstemious, value‐conscious, and charismatic.

Pragmatic consumers are found to give high importance to the functional, physical and convenience‐based attributes of the product. The abstemious group also gives importance to functionality along with design. While value‐conscious consumers focus strongly on price, the charismatic segment represents the want‐it‐all group valuing many attributes such as technological superiority, practicality, durability, functionality, and design. The study also includes findings and discussions about the differences these clusters display in terms of their involvement and loyalty styles.

High‐tech products such as mobile phones are becoming indispensable in people's lives; thus leading to a high‐involvement decision‐making process. It is crucial for marketers of these products to understand behaviorally different consumer segments that show significant variations in their decision‐making criteria for such products, and approach them accordingly.

The study applies cluster analysis as a behavioral segmentation tool in a high‐technology product market and successfully identifies four distinct consumer groups with alternative decision‐making styles.

The purpose of this paper is to understand the influence of individual and organisational factors on pro-environmental behaviours of the employees at the workplace.

A model explaining pro-environmental behaviours at workplace has been proposed based on contemporary literature related to value-belief-norm (VBN) theory, corporate environmentalism framework and norm. A cross-sectional survey was carried out in 20 manufacturing organisations in India and 383 useful individual responses were collected. The proposed model has been tested with the help of structural regression analysis.

The results of the study show that both individual characteristics as well as organisational efforts influence employees’ pro-environmental behaviours. However, the effect varies as per the type of behaviour. Personal norm mediates the relationship between subjective social norm and two types of pro-environmental behaviours.

An individual faces subjective or objective constraints while exhibiting pro-environmental behaviours. The effect of subjective or the objective constraint needs to be explored in future studies.

To explain pro-environmental behaviours at workplace the authors tested VBN theory, as it was overlooked till date in management literature. It also contributes to the VBN literature by extending it to include organisational variables like corporate environmentalism and social psychological variable like social norm.