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The assembly simulation in tolerance analysis is one of the most important steps for the tolerance design of mechanical products. However, most assembly simulation methods are based on the rigid body assumption, and those assembly simulation methods considering deformation have a poor efficiency. This paper aims to propose a novel efficient and precise tolerance analysis method based on stable contact to improve the efficiency and reliability of assembly deformation simulation.

The proposed method comprehensively considers the initial rigid assembly state, the assembly deformation and the stability examination of assembly simulation to improve the reliability of tolerance analysis results. The assembly deformation of mating surfaces was first calculated based on the boundary element method with optimal initial assembly state, then the stability of assembly simulation results was assessed by the density-based spatial clustering of applications with noise algorithm to improve the reliability of tolerance analysis. Finally, combining the small displacement torsor theory, the tolerance scheme was statistically analyzed based on sufficient samples.

A case study of a guide rail model demonstrated the efficiency and effectiveness of the proposed method.

The present study only considered the form error when generating the skin model shape, and the waviness and the roughness of the matching surface were not considered.

To the best of the authors’ knowledge, the proposed method is original in the assembly simulation considering stable contact, which can effectively ensure the reliability of the assembly simulation while taking into account the computational efficiency.

Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability.

This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis.

The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions.

First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.

The ionization of the air surrounding the phase conductor in high-voltage transmission lines results in a phenomenon known as the Corona effect. To avoid this, Corona rings are used to dampen the electric field imposed on the insulator. The purpose of this study is to present a fast and intelligent surrogate model for determination of the electric field imposed on the surface of a 120 kV composite insulator, in presence of the Corona ring.

Usually, the structural design parameters of the Corona ring are selected through an optimization procedure combined with some numerical simulations such as finite element method (FEM). These methods are slow and computationally expensive and thus, extremely reducing the speed of optimization problems. In this paper, a novel surrogate model was proposed that could calculate the maximum electric field imposed on a ceramic insulator in a 120 kV line. The surrogate model was created based on the different scenarios of height, radius and inner radius of the Corona ring, as the inputs of the model, while the maximum electric field on the body of the insulator was considered as the output.

The proposed model was based on artificial intelligence techniques that have high accuracy and low computational time. Three methods were used here to develop the AI-based surrogate model, namely, Cascade forward neural network (CFNN), support vector regression and K-nearest neighbors regression. The results indicated that the CFNN has the highest accuracy among these methods with 99.81% R-squared and only 0.045468 root mean squared error while the testing time is less than 10 ms.

To the best of the authors’ knowledge, for the first time, a surrogate method is proposed for the prediction of the maximum electric field imposed on the high voltage insulators in the presence Corona ring which is faster than any conventional finite element method.

The main objective of this paper is to investigate the response of human skin to an intense temperature drop at the surface. In addition, this paper aims to evaluate the efficiency of finite difference and finite volume methods in solving the highly nonlinear form of Pennes’ bioheat equation.

One-dimensional linear and nonlinear forms of Pennes’ bioheat equation with uniform grids were used to study the behavior of human skin. The specific heat capacity, thermal conductivity and blood perfusion rate were assumed to be linear functions of temperature. The nonlinear form of the bioheat equation was solved using the Newton linearization method for the finite difference method and the Picard linearization method for the finite volume method. The algorithms were validated by comparing the results from both methods.

The study demonstrated the capacity of both finite difference and finite volume methods to solve the one-dimensional and highly nonlinear form of the bioheat equation. The investigation of human skin’s thermal behavior indicated that thermal conductivity and blood perfusion rate are the most effective properties in mitigating a surface temperature drop, while specific heat capacity has a lesser impact and can be considered constant.

This paper modeled the transient heat distribution within human skin in a one-dimensional manner, using temperate-dependent physical properties. The nonlinear equation was solved with two numerical methods to ensure the validity of the results, despite the complexity of the formulation. The findings of this study can help in understanding the behavior of human skin under extreme temperature conditions, which can be beneficial in various fields, including medical and engineering.

The built environment is taking enormous leaps towards its digitalization. Computer-aided tools such as building information modeling (BIM) are found in the forefront of this evolution, playing a critical role in creating the foundations for the upcoming development of smart low-carbon cities. However, the potential of BIM is still untapped – links will need to be created among the available and forthcoming methodologies under one integral operational system. The purpose of this paper is to present an integrated BIM-based life cycle-oriented framework for achieving sustainable constructions at the pre-construction phase. The developed framework represents an example of the approaches that the construction industry will need to adopt to integrate the different tools under an integrated smart city context.

The methodological approach follows the development of four same-volume different-configuration three-dimensional BIM designs, which are coupled with life cycle assessment (LCA) tools for establishing sustainable building design.

The results of this paper indicated that the choice of building design and shape can play a significant role in reducing the embodied energy and embodied carbon of buildings, achieving a reduction of up to 15% compared to a reference building of same volume and gross floor area.

The originality of this paper is found in its approach application by coupling three-dimensional BIM models with LCA data, the use of reinforcement detailing in an nD BIM study and the employment of country-specific LCA databases.

Leader–member exchange (LMX) relationship is a crucial context for individuals’ generation of creative ideas. Unlike the fruit research between LMX quality and employee creativity, the relationship between LMX ambivalence and employee creativity is scarce. This study thus aims to examine the effect of LMX ambivalence on employee creativity.

This study conducted an on-site survey of research and development teams in China and distributed paired questionnaires with a time lag of one month. Data from 116 leaders and 484 subordinates were collected and analyzed.

The results showed that LMX ambivalence was directly negatively or indirectly negatively related to employee creativity via self-efficacy. Employee cynicism acted as a potential personal moderator of the effect of LMX ambivalence, specifically, employee cynicism attenuated the negative influence of LMX ambivalence on employee creativity via self-efficacy.

This study extends our knowledge of the complex effects of LMX relationships by empirically exploring whether and how LMX ambivalence influences employee creativity, with self-efficacy introduced as one crucial underlying mechanism. Meanwhile, this study enriches the existing cynicism literature by demonstrating the role of employee cynicism as a buffer in the relationship between LMX ambivalence and employee creativity.

This paper aims to answer the question of the future of work-from-home (WFH) from the position of productivity and employee well-being. In this research, the authors studied the future of WFH by analyzing perceived home productivity and work–life balance (WLB) in the WFH environment. This paper attempts to say that WFH is here to stay, and business leaders should acknowledge this fact and adjust their strategy.

The authors used a heterogeneous sampling method, surveying 1,157 employees in Mexico on productivity and WLB. The authors did three independent interventions in different pandemic stages: beginning – in 2020, peaking – in 2021, and calming down – in 2022. The authors used contingency table analysis to research the influence of perceived productivity and WLB in WFH on employees’ propensity to WFH.

The results show that employees perceive productivity the same or higher when WFH and WLB same or better. The findings of this study are a wake-up call for managers who refuse to embrace changes in employees’ perceptions and needs. Companies refusing to acknowledge the existing need for WFH may face significant challenges in terms of employee satisfaction and retention.

This study contributes to the broader literature by addressing whether WFH is here to stay. The dynamics of returning to office vary from country to country, industry to industry and business to business. This paper is an answer to the future of WFH for Mexico and the Latin American region.

Este artículo tiene como objetivo responder a la pregunta sobre la relevancia del futuro del trabajo desde casa (WFH por sus siglas en Inglés) desde la perspectiva de la productividad y el bienestar de los colaboradores. En esta investigación, se estudia el futuro del trabajo desde casa analizando la productividad percibida y el equilibrio entre la vida laboral y personal en el entorno del trabajo desde casa. Este documento intenta decir que el trabajo desde casa llegó para quedarse y que los líderes empresariales deberían reconocer este hecho y ajustar sus estrategias.

Se ha utilizado un método de muestreo heterogéneo, encuestando a 1157 colaboradores que trabajan en México sobre el tema de productividad y balance vida-trabajo (WLB por sus siglas en Inglés). Se realizaron tres intervenciones independientes en diferentes etapas de la pandemia del COVID-19: al inicio (2020), un año despúes que fué el pico (2021) y finalmente cuando está a la baja y en calma (2022). Se utilizaron diversas herramientas estadísticas como el análisis de tablas de contingencia para investigar la influencia de la productividad percibida y el WLB en el trabajo desde casa en los colaboradores que son propensos a trabajar desde casa.

Los resultados muestran que los colaboradores perciben la productividad igual o mayor cuando trabajan desde casa y el balance vida-trabajo son iguales o en ocasiones mejores. Los hallazgos de este estudio son para llamar la atención de los directivos y gerentes que se niegan a aceptar que han existido cambios y ajustes en las percepciones y necesidades de los colaboradores en las maneras de realizar el trabajo. Las empresas que se niegan a reconocer la necesidad existente de trabajar desde casa pueden enfrentar desafíos importantes en el corto plazo en términos de satisfacción y retención de los empleados.

Este estudio contribuye para ampliar la literatura y poder abordar el tema de las modalidades de trabajo, en particular para profundizar si el trabajo desde casa (WFH) llegó para quedarse. Así mismo, se puede mencionar que la dinámica del regreso a las oficinas puede variar de un país a otro, de una industria a otra y de una empresa a otra, ofreciendo una variedad de reflexiones y puntos de vistas, finalmente este documento es una respuesta a la reflexión sobre el futuro del trabajo, los beneficios del trabajo en casa para México y para la región de LATAM.

Este artigo pretende responder à questão sobre a relevância do futuro do trabalho a partir de casa (WFH, Work from home, por suas siglas em inglês) na perspetiva da produtividade e do bem-estar dos colaboradores. Nesta investigação, o futuro do trabalho a partir de casa é estudado através da análise da produtividade percebida e do equilíbrio entre vida pessoal e profissional no ambiente de trabalho a partir de casa. Este artigo tenta dizer que o trabalho a partir de casa veio para ficar e que os líderes empresariais devem reconhecer este facto e ajustar as suas estratégias.

Foi utilizado um método de amostragem heterogêneo, pesquisando 1.157 funcionários que trabalham no México sobre o tema produtividade e equilíbrio entre vida profissional e pessoal (WLB). Foram realizadas três intervenções independentes em diferentes fases da pandemia da COVID-19: no início (2020), um ano após o pico (2021) e finalmente quando estava em declínio e calma (2022). Várias ferramentas estatísticas, como a análise de tabelas de contingência, foram utilizadas para investigar a influência da produtividade percebida e do WLB no trabalho em casa em funcionários propensos a trabalhar em casa.

Os resultados mostram que os colaboradores percebem uma produtividade igual ou superior quando trabalham a partir de casa e que o equilíbrio entre vida pessoal e profissional é igual ou por vezes melhor. Os resultados deste estudo são para chamar a atenção de diretores e gestores que se recusam a aceitar que tenham havido mudanças e ajustes nas percepções e necessidades dos funcionários nas formas de fazer o trabalho. As empresas que se recusam a reconhecer a necessidade existente de trabalhar a partir de casa podem enfrentar desafios significativos a curto prazo em termos de satisfação e retenção dos colaboradores.

Este estudo contribui para ampliar a literatura e poder abordar a questão das modalidades de trabalho, em particular para aprofundar se o trabalho em casa (WFH) veio para ficar. Da mesma forma, pode-se mencionar que a dinâmica de retorno aos escritórios pode variar de um país para outro, de uma indústria para outra e uma empresa para outra, oferecendo uma variedade de reflexões e pontos de vista. Em última análise, este documento é um resposta. para refletir sobre o futuro do trabalho, os benefícios de trabalhar em casa para o México e a região LATAM.

This study aims to examine the impact of knowledge and skills acquisition from youth leadership programs on the extent of training transfer. Additionally, it explores the role of self-esteem as a potential intervening mechanism in linking the acquired knowledge and skills to the transfer of training.

Using a non-probability purposive sampling, data were gathered from participants of youth leadership programs in Brunei. The study hypotheses were validated using multiple linear regression analysis and Hayes PROCESS macro.

The findings revealed that knowledge and skills acquisition positively affect the extent of training transfer among youth leadership program participants. Moreover, self-esteem is found to be a crucial mediator in the relationship between knowledge and skills acquired from youth leadership programs and the extent of training transfer.

The study suggests that to optimize the transfer of training in the youth leadership programs, relevant stakeholders – training providers, and practitioners – must prioritize not only the knowledge and skills acquisition but also the cultivation of participants’ self-esteem. To achieve this, a primary focus should be placed on the criticality of designing such programs to address these factors. Policymakers, particularly in Brunei, can enhance the leadership pipeline among the youth population and expedite progress toward achieving the national vision by aligning leadership development initiatives with the broader national development agenda.

Collectively, this study enhances understanding of training transfer in youth leadership development, an often-overlooked area in the literature.

Facility management gained profound importance due to the increasing complexity of different systems and the cost of operation and maintenance. However, due to the increasing complexity of different systems, facility managers may suffer from a lack of information. The purpose of this paper is to propose a new facility management approach that links segmented assets to the vital data required for managing facilities.

Automatic point cloud segmentation is one of the most crucial processes required for modelling building facilities. In this research, laser scanning is used for point cloud acquisition. The research utilises region growing algorithm, colour-based region-growing algorithm and Euclidean cluster algorithm.

A case study is worked out to test the accuracy of the considered point cloud segmentation algorithms utilising metrics precision, recall and F-score. The results indicate that Euclidean cluster extraction and region growing algorithm revealed high accuracy for segmentation.

The research presents a comparative approach for selecting the most appropriate segmentation approach required for accurate modelling. As such, the segmented assets can be linked easily with the data required for facility management.

Massive multiplayer online role-playing games (MMORPGs) are representative metaverse games that are thriving in academia and the industry. This study aims to develop an integrated model based on Yee's motivations and the Proteus effect to explore individuals' intentions of playing MMORPGs.

The data were gathered by conducting an online survey (n = 441) for the players of World of Warcraft, an MMORPG. The collected data were analyzed with a structural equation model.

The outcomes of this research reveal that the Proteus effect positively influenced the intentions of the players to play the game via mediations of social, immersion, achievement motivations and enjoyment. Furthermore, the players influenced by the Proteus effect, which enables avatar embodiment and identification, exhibited a stronger intention to play MMORPGs.

This research is one of the first attempts to establish a theoretical framework involving the Proteus effect and Yee's motivations. In addition, the findings of this study imply that the Proteus effect should be considered when investigating the individual experience of metaverse games.