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The purpose of this study was to explore participants’ fit perceptions of customized garments and investigate the factors that affected the customized fit.

Because different patternmaking methods generate varied fit results, eight customized dresses were developed for four fit models aged 18–25 using two different made-to-measure (MTM) systems (Gerber AccuMark and Telestia Creator). The authors designed a questionnaire to assess the fit of the final garments on each of the four models. A total of 12 participants (four fit models and eight experts) attended a live evaluation meeting and completed the questionnaire. The quantitative and qualitative data of the participants’ fit perceptions were collected and analyzed.

The authors compared the fit outputs of the two MTM systems and determined the fit issues from the participants’ perceptions. The results showed that the participants evaluated the customized fit mainly according to the ease, seam placement and wrinkle occurrence. The majority of fit models and experts preferred Dress B created using Telestia Creator to Dress A developed using Gerber AccuMark. The participants’ fit perceptions also revealed that many factors, such as the MTM systems, participants’ fit preferences, models’ body characteristics, fabric and ease, impacted the fit results. In addition, the experts perceived more fit issues than the models.

The fit output comparison of the two MTM systems could be valuable for pattern makers to use the systems. The research results would also be useful for apparel companies to conduct a fit evaluation and improve their customization processes.

In a dual-robot system, the relative position error is a superposition of errors from each mono-robot, resulting in deteriorated coordination accuracy. This study aims to enhance relative accuracy of the dual-robot system through direct compensation of relative errors. To achieve this, a novel calibration-driven transfer learning method is proposed for relative error prediction in dual-robot systems.

A novel local product of exponential (POE) model with minimal parameters is proposed for error modeling. And a two-step method is presented to identify both geometric and nongeometric parameters for the mono-robots. Using the identified parameters, two calibrated models are established and combined as one dual-robot model, generating error data between the nominal and calibrated models’ outputs. Subsequently, the calibration-driven transfer, involving pretraining a neural network with sufficient generated error data and fine-tuning with a small measured data set, is introduced, enabling knowledge transfer and thereby obtaining a high-precision relative error predictor.

Experimental validation is conducted, and the results demonstrate that the proposed method has reduced the maximum and average relative errors by 45.1% and 30.6% compared with the calibrated model, yielding the values of 0.594 mm and 0.255 mm, respectively.

First, the proposed calibration-driven transfer method innovatively adopts the calibrated model as a data generator to address the issue of real data scarcity. It achieves high-accuracy relative error prediction with only a small measured data set, significantly enhancing error compensation efficiency. Second, the proposed local POE model achieves model minimality without the need for complex redundant parameter partitioning operations, ensuring stability and robustness in parameter identification.

In current economic systems, the role played by non-profit and voluntary organisations is relevant. Several studies analyse the development of these organisations and suggest reasons related to the dissemination of policies that first consider public intervention and then ‘the third way’ of the economy as a way to increase wealth and support economic development. In this context, it should be noted that:

• Modern non-profit organisations (NPOs) take the form of enterprises encouraging the development of capabilities to satisfy human needs in terms of production of goods and utilities.

• A systematic cooperation with the local context (i.e. enterprises and Public Administration) is becoming increasingly more important for the survival and development of NPOs.

• Excellent opportunities for economic and social growth and for mutual development can develop from this type of cooperation.

• Starting from this premise, the purpose of the research is to suggest some insight on the theme of cooperation between for-profit and non-profit world in the light of the thought of Church’s Social Doctrine, and in particular, of the Encyclical Letter of Benedict XVI, Caritas in Veritate – On Integral Human Development in Charity and Truth. In this sense, the contribution is a conceptual work; the study could improve with empirical research concerning the level of diffusion and the form of collaborations for-profit/non-profit in the Italian context.

Modern non-profit organisations (NPOs) take the form of enterprises encouraging the development of capabilities to satisfy human needs in terms of production of goods and utilities.

A systematic cooperation with the local context (i.e. enterprises and Public Administration) is becoming increasingly more important for the survival and development of NPOs.

Excellent opportunities for economic and social growth and for mutual development can develop from this type of cooperation.

Starting from this premise, the purpose of the research is to suggest some insight on the theme of cooperation between for-profit and non-profit world in the light of the thought of Church’s Social Doctrine, and in particular, of the Encyclical Letter of Benedict XVI, Caritas in Veritate – On Integral Human Development in Charity and Truth. In this sense, the contribution is a conceptual work; the study could improve with empirical research concerning the level of diffusion and the form of collaborations for-profit/non-profit in the Italian context.

From a methodological point of view, after a literature review on NPOs and corporate social responsibility, the chapter analyses reasons, strategies and tools of collaborations between non-profit and for-profit worlds (the role of Public Administration and hybrid organisation is excluded). Then, focus moves up on Church’s Social Doctrine and Encyclical Letter Caritas in Veritate with particular attention to the topic analysed in this chapter (collaboration for-profit/non-profit enterprises). The vision emerging from the Encyclical is that the dichotomy between for-profit and NPOs should be resolved by striving for the development of a ‘civil economy’ with the capacity to promote the overall development of the human being. The research highlights the importance of dissemination of initiatives promoted predominantly by NPOs, with the objective of stimulating and supporting the implementation of forms of structured collaboration; we are sure that a ‘connection point’ between for-profit and non-profit is now necessary.

This study investigates the interrelationships between competitions in different banking markets and shadow banking for the Chinese banking industry over the period 2003–2017. The current study also examines the determinants of competition in different banking markets and the factors influencing the size of shadow banking.

Bank competition is measured by the Boone indicator, while the relationship between bank competition and shadow banking is examined through a three-stage least square estimator.

The findings suggest that a larger volume of shadow banking leads to a decline in the level of competition in the deposit market, loan market and noninterest income market, while an increase in the level of competition in the loan market, deposit market and noninterest income market leads to an expansion of shadow banking. The authors find that higher bank risk and higher developed of stock market reduce the competitive condition in the loan market, and the competition in the deposit market will be enhanced by higher levels of banking sector development and higher levels of inflation, but bank diversification will reduce the level of competition in the deposit market. The authors further find that higher bank profitability and higher stock market development reduce bank competition in the noninterest income market. Finally, the results show that larger bank size and higher development of stock market reduce the size of shadow banking in China, but higher economic growth increases the size of shadow banking.

This is the first piece of research investigating the relationship between bank competition and shadow banking. This will also be the first piece of research examining the determinants of competition in different banking markets and also the factors influencing the size of shadowing banking in China.

This paper aims to study the working principle of the capacitive pressure sensor and explore the distribution of pressure acting on the surface of the capacitor. Herein, a kind of high sensitivity capacitive pressure sensor was prepared by overlaying carbon fibers (CFs) on the surfaces of the thermoplastic elastomer (TPE), the TPE with high elasticity is a dielectric elastomer for the sensor and the CFs with excellent electrical conductivity were designed as the conductor.

Due to the excellent mechanical properties and electrical conductivity of CFs, it was designed as the conductor layer for the TPE/CFs capacitive pressure sensor via laminating CFs on the surfaces of the columnar TPE. Then, a ‘#' type structure of the capacitive pressure sensor was designed and fabricated.

The ‘#' type of capacitive pressure sensor of TPE/CFs composite was obtained in high sensitivity with a gauge factor of 2.77. Furthermore, the change of gauge factor values of the sensor under 10 per cent of applied strains was repeated for 1,000 cycles, indicating its outstanding sensing stability. Moreover, the ‘#' type capacitive pressure sensor of TPE/CFs was consisted of several capacitor arrays via laminating CFs, which could detect the distribution of pressure.

The TPE/CFs capacitive pressure sensor was easily fabricated with high sensitivity and quick responsiveness, which is desirably applied in wearable electronics, robots, medical devices, etc.

The outcome of this study will help to fabricate capacitive pressure sensors with high sensitivity and outstanding sensing stability.

Given the importance of spatial effects in improving the accuracy of hotel demand forecasting, this study aims to introduce price and online rating, two critical factors influencing hotel demand, as external variables into the model, and capture the spatial and temporal correlation of hotel demand within the region.

For high practical implications, the authors conduct the case study in Xiamen, China, where the hotel industry is prosperous. Based on the daily demand data of 118 hotels before and during the COVID-19 period (from January to June 2019 and from January to June 2021), the authors evaluate the prediction performance of the proposed innovative model, that is, a deep learning-based model, incorporating graph convolutional networks (GCN) and gated recurrent units.

The proposed model simultaneously predicts the daily demand of multiple hotels. It effectively captures the spatial-temporal characteristics of hotel demand. In addition, the features, price and online rating of competing hotels can further improve predictive performance. Meanwhile, the robustness of the model is verified by comparing the forecasting results for different periods (during and before the COVID-19 period).

From a long-term management perspective, long-term observation of market competitors’ rankings and price changes can facilitate timely adjustment of corresponding management measures, especially attention to extremely critical factors affecting forecast demand, such as price. While from a short-term operational perspective, short-term demand forecasting can greatly improve hotel operational efficiency, such as optimizing resource allocation and dynamically adjusting prices. The proposed model not only achieves short-term demand forecasting, but also greatly improves the forecasting accuracy by considering factors related to competitors in the same region.

The originalities of the study are as follows. First, this study represents a pioneering attempt to incorporate demand, price and online rating of other hotels into the forecasting model. Second, integrated deep learning models based on GCN and gated recurrent unit complement existing predictive models using historical data in a methodological sense.

The role of chief executive officer (CEO) personal characteristics in shaping corporate policies has attracted increasing academic attention in the past two decades. In this review, the authors synthesize extant research on CEO attributes by reviewing 232 articles published in 29 journals from the accounting, finance and management literature. This review provides an overview of existing findings, highlights current trends and interdisciplinary differences in research approaches and identifies potential avenues for future research.

To review the literature on CEO attributes, the authors manually collected peer-reviewed articles in accounting, finance and management journals from 2000 to 2021. The authors conducted in-depth analysis of each paper and manually recorded the theories, data sources, country of study, study period, measures of CEO attributes and dependent variables. This procedure helped the authors group the selected articles into themes and sub-themes. The authors compared the findings in various disciplines and provided direction for future research.

The authors highlight the role of CEO personal attributes in influencing corporate decision-making and firm outcomes. The authors categorize studies of CEO traits into three main research themes: (1) demographic attributes and experience (including age, gender, culture, experience, education); (2) CEO interactions with others (social and political networks) and (3) underlying attributes (including personality, values and ideology). The evidence shows that CEO characteristics significantly affect a wide range of specific corporate policies that serve as mechanisms through which individual CEOs determine firm success and performance.

CEO selection is one of the most crucial decisions made by corporations. The study findings provide valuable insights to corporate executives, boards, investors and practitioners into how CEOs’ personal characteristics can impact future firm decisions and outcomes that can, in turn, inform the high-stake process of CEO recruitment and selection. The study findings have significant practical implications for corporations, such as contributing to executive training programs, to assist executives and directors attain a greater level of self-awareness.

Building on the theoretical foundation of upper echelons theory, the authors offer an integrated theoretical framework to consolidate existing empirical research on the impacts of CEO personal attributes on firm outcomes across accounting and finance (A&F) and management literature. The study findings provide a roadmap for scholars to bridge the interdisciplinary divide between A&F and management research. The authors advocate a more holistic and multifaceted approach to examining CEOs, each of whom embodies a myriad of personal characteristics that comprise their unique identity. The study findings encourage future researchers to expand the investigation of the boundary conditions that magnify or moderate the impacts of CEO idiosyncrasies.

Identifying the complementary effects of ride-sharing on public transit is critical to understanding the potential value of growing partnerships between public transit agencies and ride-sharing platforms. The purpose of this paper is to investigate whether and how ride-sharing services complement public transit.

Taking advantage of a natural experiment whereby subway Line 2 opened after the entry of ride-sharing services in Xiamen, this study uses a difference-in-differences approach to identify the complementary effects of ride-sharing on public transit based on a proprietary fine-grained trip-level data set from a large ride-sharing platform.

This study obtained the encouraging finding that ride-sharing has a significant complementary effect on the subway, as the number of ride-sharing pickups and drop-offs at subway stations increased by 130% and 117.9%, respectively, after the subway opening. Moreover, mechanism analysis shows that the complementary effect of ride-sharing services is stronger when connection distance is short (i.e. under 6 km) and when the transportation availability is limited (i.e. at night or in the areas with low transit supply and low population density).

The findings provide guidelines for promoting cooperation between public transit agencies and ride-sharing platforms to build an efficient and sustainable urban transport system.

This study is the first to examine the complementary effect of ride-sharing services on public transit via unique fine-grained ride-sharing trips data, and further reveal the underlying mechanism behind this effect.

Outlines the history of accounting in China and reviews the literature published in English on the full range of Chinese accounting issues. Summarizes the contents of three books, refers to sections in other books and analyses journal articles by period, journal, research topic and research method. Argues that this accounting research has historical, academic and practical value,believes it will continue to improve and calls for greater use of more rigid research methodologies in this area.

In recent years, the concept of subculture has been fiercely criticized, with some scholars even claiming that it is no longer relevant in a multi-cultural world (Muggleton, 2000; Chaney, 2004; Stahl, 2004). However, the authors argue that by revisiting the Chicago School tradition and reconceptualizing subculture on the basis of acknowledging its limitations and its potential, subculture theory remains applicable in the context of contemporary China. Through an eight-month ethnographic study of a group of deviant students in a secondary school in urban China, the purpose of this paper is to contend that the subculture of these young people from lower-class backgrounds is a means to negotiate their space and power in a failing school system situated in a drastically transforming society full of diversified yet often conflicting values.

In this study, the authors undertook an ethnographic study to follow a group of deviant students for eight months, trying to understand their everyday lives and the process of their identity construction. The research was conducted in Xiamen, a coastal city located in the southeast part of mainland China. Unlike large metropolitan areas such as Beijing and Shanghai, where most studies have been conducted so far, Xiamen represents one of the medium-sized cities, which are the majority in China. After a process of sampling among 11 classes from five schools in different tiers, the authors chose one class in Grade 2 at a medium-level secondary school called “Central Park Secondary School” as a pseudonym. The authors stayed in the field for the main study and the authors also paid another visit to the school to follow up on students’ recent development.

In this study, a group of problem students identified with each other and shared the same problems and situations, and collectively formed a subcultural group, from within which they could challenge the authority of teachers and parents and negotiate power in the school; for example, reaching a truce with teachers so that they could have an easier time at school until they graduated. Their subculture and resistance may seem like a self-defeating practice, because what they learned at school and the qualifications they obtained could only assure them laboring jobs and reproduce their lower class status. However, this subculture offered an alternative way to safeguard their happiness and healthy development, which in this case is psychological well-being and better interpersonal skills.

This paper could provide the teachers and school administrators with a new perspective to look at some of their students’ poor performance and disruptive behaviors. With a deeper understanding of their “deviant” students, the teachers may develop more pertinent measures to help their students.

This paper argues that, through revisiting the Chicago School tradition and reconceptualizing subculture on the basis of acknowledging its limitations and potential, subculture theory remains applicable in the context of contemporary China.