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Monte Carlo simulation (MCS) has been widely used in probabilistic analysis of the input‐output relationship of a complex function in various applications where probability distributions of the inputs are known. However, MCS is time‐consuming for complex analysis. In addition, it is not straightforward in revealing the relationship between the output variables and the input variables. This paper proposes an alternative analytical approach of statistical estimation, namely the integration of piecewise approach and cell technique that will significantly reduce the number of observations to be taken in a simulation process. The development of the algorithm has included estimation of two statistical parameters, which are the mean and standard deviation. The algorithm has been tested with an engineering example, which is the volumetric shrinkage analysis of a plastic injection molded part.

Due to land resource scarcity, sustainable urban development in high-density cities has long been challenging. As such, many cities are formulating plans to “dig deep”, resulting in more citizens working and/or staying underground for longer periods of time. However, owing to the particularities of underground space, the factors involved in the creation of a healthy environment are different from those involved in aboveground developments. This study thus aims to investigate the influences of various underground environment factors on users' health through a holistic approach.

To achieve this aim, 12 underground sites and 12 corresponding aboveground sites are selected for a large-scale questionnaire survey, resulting in 651 survey samples. The survey covers post-occupancy evaluation of health (physical and psychosocial), underground environmental quality (visual, thermal, acoustic comfort, indoor air quality and ventilation), space design and greenery. Independent-sample T-test, Pearson correlation, multiple regression modelling and structural equation modelling are used to investigate whether significant differences exist between health of underground and aboveground users, and to develop an underground environment-health model for unveiling the significant associations between underground environment factors and users' health. To cross validate the results, an objective field measurement study is further conducted on six underground sites. The objective measurement results are used to cross validate the survey results.

The questionnaire results provide the following evidence: (1) health of underground users is significantly poorer than that of their aboveground counterparts; (2) underground development users' health is significantly affected by space design, greenery and environmental quality in terms of thermal comfort, indoor air quality, ventilation and acoustic comfort but not visual comfort; and (3) amongst the various identified factors, space design has the strongest predicting effects on human health. The field study echoes the survey findings and further unveils the relationships between different environmental factors and human health.

The results shed light on the importance of distinguishing between underground developments and aboveground ones in various guidelines and standards, especially those related to space management.

The purpose of this paper is to identify personality clusters among consumers of Generation Y in India using the Big Five personality traits and profile these clusters on the basis of their levels of fashion consciousness, inclination toward status consumption and materialistic tendencies.

A self-completion questionnaire was administered to 751 respondents from Generation Y (born between 1980 and 2000) using mall-intercept approach. The questionnaire included demographic items and measures of the Big Five personality traits, fashion consciousness, status consumption and materialism. A two-step cluster analysis, using hierarchical and nonhierarchical clustering, was conducted on each respondent’s factor scores on the five dimensions of the Big Five. Later, multivariate analysis of variance (MANOVA) was applied to identify differences in the levels of fashion consciousness, inclination toward status consumption and materialistic tendencies of the clusters.

Four personality clusters were identified, i.e. Conventionalists (N = 95, 12.64 per cent), Anxious Achievers (N = 207, 27.56 per cent), Introverts (N = 204, 27.16 per cent) and Positivists (N = 245, 33.82 per cent). MANOVA revealed significant differences among clusters pertaining to their levels of fashion consciousness, status consumption and materialistic tendencies.

Results suggest that the personality clusters are not homogeneous, and fashion marketers must bear in mind the differences within the cohort of Generation Y while planning their promotion and communication strategies.

The value of this study lies in integrating the widely researched constructs of the Big Five personality traits, fashion consciousness, status consumption and materialism into one holistic study, thereby offering useful insights into the fashion shopping behavior of young Indian adults.

This paper aims to replace the complicated iterative procedure used to prevent interference in limaçon‐to‐limaçon machines by a simplified mathematical equation which can be solved by a straightforward substitution of the required clearance value.

The input data to the iterative procedure and the obtained results have been employed in regression models to construct the sought after equation. Searching for a proper form of this equation involved numerical experiments to study the effects of the various model parameters on the system response.

The numerical experiments conducted proved to be an effective model construction technique, and the regression model proposed has been found extremely accurate in the specified parameter space.

The proposed equation is applicable within the parameter range chosen for the study. This range is the one often used for industrial applications. Should the parameters selected for a specific design fall outside the specified range, the proposed model structure may have to be varied to maintain a desirable level of accuracy.

The interference study is a part of the iterative procedure employed to design the dimensions of the limaçon‐to‐limaçon machine. This iterative procedure searches for the proper design amongst hundreds of various possible solutions. The results of this paper will ensure a much faster convergence for the design procedure, since the interference study will be eliminated from the iterative section of the analysis.

The paper offers a valid and accurate model that can be efficiently used for the intended purpose.

To better understand continuities and changes in consumer behaviour, it is also important to examine the original antecedents of unified theory of acceptance and use of technology 2 (UTAUT2). Studying Generation Y is crucial for developing competitive online marketing strategies, as Generation Y plays a substantial role in online purchases. Therefore, this study aims to examine the actual use of small business websites based on the UTAUT2 among Generation Y.

A total of 375 valid questionnaires were collected via a systematic sampling among Generation Y in Canada. All participants in the study had at least a high school education, were internet and computer literate, and had purchased a good/service from the retail websites of Canadian small businesses.

The results show performance expectancy, hedonic motivation, social influence and habit have significant effects on behavioural intentions. The habit and behavioural intentions also have significant effects on actual usage of small businesses’ retail websites. Additionally, this study supported the significant difference between male and female UTAUT2 models.

The study examines how small retail businesses can attract and retain Generation Y customers by improving their website’s performance. Performance expectancy, hedonic motivation and social influence are significant factors in determining behavioral intention. Small businesses can enhance their website usability, design and content to increase customer satisfaction and loyalty. Hedonic motivation is crucial for Generation Y customers, who seek pleasure and excitement when visiting websites. Social influence is crucial for male customers, whereas performance expectancy, hedonic motivation and habit are more important for female customers. The study also suggests that Canadian governments should encourage online purchasing to increase the usage of small retail business websites.

This study provided few valuable insights into small businesses’ retail websites behavioural intentions and actual usage between males and females in Canada.

The purpose of this paper is to develop a spectral element modeling to predict electromechanical admittance in the surface-bonded piezoelectric wafer and beam structure considering temperature effects.

For modeling the beam, the axial and transverse vibrations of the beam have been considered, and temperature-dependent mechanical and electromechanical properties of piezoelectric wafer active sensor and aluminum have been analyzed. The influences of temperature effects on electromechanical admittance are investigated.

The results show that a frequency left shift and a decrease in amplitude of admittance in any natural frequencies with increasing temperature have been observed. The mechanism of these changes is discussed.

The numerical results may be considered helpful for structural health monitoring using electromechanical impedance technique.

Although India is home to the world’s largest millennial population, so far, hardly any studies exist that explain the key drivers leading to the luxury goods consumption among this generational cohort. Therefore, the purpose of this paper is twofold: first, to develop and empirically test the conceptual framework designed to measure the relationship between luxury value perceptions and purchase intentions among the young Indian luxury consumers, and, second, to examine the moderating effect of gender in the relationship between luxury value perceptions and purchase intentions.

A purposive sampling technique was employed to collect the data from young luxury fashion consumers. Statistical tests including confirmatory factor analysis, multi-group analysis and structural equation modeling were applied for data analysis.

The findings show that the conspicuous value is the most significant determinant of luxury purchase intention followed by the experiential value, susceptibility to normative influence and utilitarian value. The uniqueness value was found to have weak relationship with purchase intention. Furthermore, results revealed that the relationship between the luxury values and the luxury buying intentions does not vary significantly between male and female.

This is one of the first studies that provides meaningful insights to the academicians and marketing practitioners about why millennials buy luxury fashion brands in emerging markets like India.

The purpose of the paper is to determine the extent to which ESG education in graduate finance programs at Kazakhstani universities impacts ESG-related issues incorporating emissions, unemployment rates and corruption.

This research relies on cross-sectional data for 20 regions of Kazakhstan and 66 universities clustered in those regions for the academic year 2022–2023. This study uses a multiple linear regression method to ascertain the relationship between ESG education and ESG problems.

Findings indicate that environmental education and overall ESG education have a negative impact on the volume of emissions and the youth unemployment rate. The number of universities is positively related to all three dependent variables representing issues on each aspect of ESG.

I might have omitted some important variables that can play a pivotal role in elucidating ESG-related problems, including the mobility of students from one region to another. Furthermore, the paper analyzed only finance programs at a graduate level, without touching undergraduate-level studies and other programs. Finally, the variables and, hence, the regression results are based on the academic year of 2022–2023; it does not account for the change for the past years and does not include time-series analysis.

This paper is original, as it examines whether ESG education helps to curb ESG-related issues at a national level in Kazakhstan, and the studies on sustainability education in Kazakhstan are limited.

The purpose of this paper is to examine the influence of two potentially important antecedents of female Generation Y consumers’ attitudes towards beauty products. In particular, the impact of the media and groups is analysed through their influence on subjective norms.

Structural equation modelling analysis of moment structures was used to propose and test a research model by means of data from a substantial size of female Generation Y consumers.

The study’s results confirm that female Generation Y consumers have a favourable attitude towards beauty products and that this attitude is influenced by their subjective norms. Furthermore, the findings suggest that group influence, which includes the opinions of friends, family and peers and media influence both predict female Generation Y consumers’ favourable attitude towards beauty products via their influence on this segment’s subjective norms.

These results emphasise the strategic importance of incorporating subjective norms, together with media and group influence into beauty product marketing communication campaigns targeting female Generation Y consumers. Given that this generation is known to be prevalent users of social media and often consult online peer product reviews, such strategies should also be extended beyond traditional media platforms to include social media, particularly social media influencers and online product review platforms, thereby tapping into subjective norms and group influence.

This study contributes to understanding female Generation Y consumers’ attitudes towards beauty products, especially the combined influence of subjective norms and media and group influence on such attitudes.

El propósito de este trabajo es examinar la influencia de dos antecedentes potencialmente importantes de las actitudes de las consumidoras de la Generación Y hacia los productos de belleza. En concreto, se estudia la influencia de los medios de comunicación y de los grupos a través de su influencia en las normas subjetivas.

Se empleó el análisis de modelos de ecuaciones estructurales de estructuras de momento para proponer y probar un modelo de investigación mediante datos de un tamaño considerable de consumidoras de la Generación Y.

Los resultados del estudio confirman que las consumidoras de la Generación Y tienen una actitud favorable hacia los productos de belleza y que esta actitud está influenciada por sus normas subjetivas. Además, los resultados sugieren que la influencia del grupo, que incluye las opiniones de amigos, familiares y compañeros, y la influencia de los medios de comunicación predicen la actitud favorable de las consumidoras de la Generación Y hacia los productos de belleza a través de su influencia en las normas subjetivas de este segmento.

Estos resultados enfatizan la importancia estratégica de incorporar las normas subjetivas, junto con la influencia de los medios de comunicación y del grupo, en las campañas de comunicación de la comercialización de productos de belleza dirigidas a las consumidoras de la Generación Y. Dado que se sabe que esta generación es la usuaria habitual de los medios sociales y suele consultar en línea las revisiones de los productos, esas estrategias también deberían ampliarse más allá de las plataformas de los medios de comunicación tradicionales para incluir los medios sociales, en particular las personas que ejercen influencia en los medios sociales, y las plataformas de revisión de productos en línea, aprovechando así las normas subjetivas y la influencia del grupo.

Este estudio contribuye a comprender las actitudes de las consumidoras de la Generación Y respecto de los productos de belleza, especialmente la influencia combinada de las normas subjetivas y la influencia de los medios de comunicación y los grupos en esas actitudes.

摘要

本文旨在研究两个重要的潜在因素，对Y世代女性消费者对美容产品态度的影响。具体来说，是通过媒体和群体对主观规范的影响来进行分析。

本研究采用结构方程模型分析力矩结构，结合相当规模的Y世代女性消费者的数据，提出并检验研究模型。

研究结果证实，Y世代女性消费者对美容产品持积极态度，而且这种态度受到她们主观规范的影响。此外，研究结果表明，群体影响（包括朋友、家人和同伴的意见）和媒体影响都能通过对Y世代女性消费者主观规范的影响来预测她们对美容产品的好感度。

本文的研究结果强调了将主观规范和媒体、群体影响纳入针对Y世代女性消费者的美容产品营销传播活动的战略重要性。由于Y世代是社交媒体的普遍用户，并且经常查看其他用户评价，因此这种策略应该超越传统媒体平台，将社交媒体，特别是社交媒体网络红人和在线产品评论平台纳入其中，利用他们对消费者主观规范和群体的影响力。

本研究有助于了解Y世代女性消费者对美容产品的态度，特别是主观规范和媒体、群体对这种态度的综合影响。

The purpose of this paper is to present the problems of the electromechanical impedance (EMI), especially its applications for structural health monitoring of aircraft bolt-joints and innovative approach of EMI prediction at loosening of bolt-joints.

This experimental study includes the results of a full-scale test of the Mi-8 helicopter tail beam, particularly, its bolt-joints of a beam with other parts of the structure. One of the connecting frames of the tail beam was equipped with piezoelectric transducers (PZT) glued on the surface of the frame near the bolts. The bolts' loosening was investigated by using the EMI technology.

It was demonstrated that loosening of the bolt-joint produces a significant and statistically stable change of the EMI metric. Presumably, both the small shift of resonance frequencies and the EMI magnitude and resistance change are caused mainly by damping variation at the bolt-joint loosening. In this analytical study, the 2D model of a constrained PZT is proposed. In contrast with the existing model, the modal decomposition analysis is used as a universal mean to express the dynamic properties and dynamic responses of both the transducer and the host structure. This approach, together with the finite element modal analysis, allows simulation of any complex system “PZT-host structure”. The model can be easily transformed also to the 3D one. The bolt-joint of the Mi-8 helicopter with the EMI measurement system was simulated by using the developed 2D model. The simulation results satisfactorily correspond to the test.

The results of this research can be used for implementation in the structural health monitoring of bolt-joints and other aerospace structural components.

The new experimental results on aircraft real bolt-joints were obtained. Especially significant is the original 2D model of the electromechanical impedance, based on the modal decomposition method, which can significantly improve the accuracy and the realistic description of the dynamic interaction between PZT and structure, as well as the dynamic response to the appearance of structural damage.