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The aim of this paper is to focus on the formulation of a Library 2.0 program that will guide the realization of a “user‐centered” service pattern.

In‐depth user investigations are the first step toward a successful Library 2.0 program, which will reflect what users really hope to achieve through Library 2.0. Three user investigations were carried out with the purpose to get users' opinions and suggestions about Library 2.0 services. Then the target was formed on the basis of analysis and evaluation of users' needs. The Library 2.0 programming was analyzed in four tiers of management ideas, service patterns, technical support, and content development.

User investigations are of primary importance in programming Library 2.0, and a program formulated on such investigations will not miss its aim, and be more realistic.

The paper does not dwell on technical particularities of Library 2.0, but focuses on the key role of a program in realization of the concept of Library 2.0, and the methodology of programming.

The purpose of this paper is to improve the control precision of the station-keeping control for a stratosphere airship through the feedforward-feedback PID controller which is designed by the wind speed prediction based on the incremental extreme learning machine (I-ELM).

First of all, the online prediction of wind speed is implemented by the I-ELM with rolling time. Second, the feedforward-feedback PID controller is designed through the position information of the airship and the predicted wind speed. In the end, the one-dimensional dynamic model of the stratosphere airship is built, and the controller is applied in the numerical simulation.

Based on the conducted numerical simulations, some valuable conclusions are obtained. First, through the comparison between the predicted value and true value of the wind speed, the wind speed prediction based on I-ELM is very accurate. Second, the feedforward-feedback PID controller designed in this paper is very effective.

This paper is very valuable to the research of a high-accuracy station-keeping control of stratosphere airship.

This study aims to examine the relationship between supervisor’s altruistic leadership behavior (ALB) and family-to-work development (FWD) in the context of Chinese small and medium-sized enterprises (SMEs); and test the mediation effect of learning organization culture (LOC) between ALB and FWD.

A non-experimental, quantitative, cross-sectional survey research approach was applied. A structural equation modeling technique was used to test all hypotheses.

Results indicated that ALB is positively and significantly correlated with FWD. Additionally, the relationship between ALB and FWD is mediated by LOC.

This study suggests that building and maintaining an effective LOC requires leaders to champion, human resource (HR) professionals to strengthen and employees to support learning as a system. Thus, HR professionals should implement altruistic leadership mentoring and coaching programs. In the case of Chinese SMEs, altruistic leaders are especially instrumental in generating followers’ positive outcomes in both work and family domains.

This study looks into the influence of organizational factors on the direction of FWD. In particular, this study seeks to examine organizational factors that relate to spillover from family to work.

Exoskeletons are moving into industries with the potential to reduce muscle strains and prevent occupational injuries. Although exoskeletons have been designed and tested in laboratory settings, rare empirical studies of their application in construction have been reported. Therefore, the purpose of this study is on in a real-life setting testing the applicability of adopting exoskeletons in the construction industry.

A feasibility study of exoskeletons in construction is conducted by testing a passive exoskeleton, designed for shoulder support. Five bricklayers tested in a two-month period the exoskeleton, each wearing it for a three-day period while carrying out normal work activities. Test data in terms of interviews were collected and analyzed using qualitative content analysis.

The application of exoskeletons in construction revealed several limitations, where the two primary ones are the exoskeleton is not designed while considering the tasks of a bricklayer causing several challenges and the exoskeleton only supports a single upward motion while limiting other movements and even counteracted when a downward movement was necessary.

The identified challenges could easily have been revealed by coupling the design and testing of exoskeletons to actual application. Thus, the design approach needs to be reversed. Instead of designing an exoskeleton to support a specific body part or motion and then identifying where it is applicable, it should target specific industries and focus on the actual work and movements and the necessary support. As part of the change, the design metrics should be reevaluated to reflect the work to support.

Existing clothing parsing methods make little use of dataset-level information. This paper aims to propose a novel clothing parsing method which utilizes higher-level outfit combinatorial consistency knowledge from the whole clothing dataset to improve the accuracy of segmenting clothing images.

In this paper, the authors propose an Outfit Memory Net (OMNet) that augments original feature by aggregating dataset-level prior clothing combination information. Specifically, the authors design an Outfit Matrix (OM) to represent clothing combination information of single image and an Outfit Memory Module (OMM) to store the clothing combination information of all images in the training set, i.e. dataset-level clothing combination information. In addition, the authors propose a Multi-scale Aggregation Module (MAM) to aggregate the clothing combination information in a multi-scale manner to solve the problem of large variance in the scale of objects in the clothing images.

Experiments on Colorful Fashion Parsing Dataset (CFPD) dataset show that the authors' method achieves 93.15% pixel accuracy (PA) and 51.24% mean of class-wise intersection over union (mIoU), which are satisfactory parsing results compared with existing methods such as PSPNet, DANet and DeepLabV3. Moreover, through comparing the segmentation accuracy of different methods for each category, MAM could effectively improve the segmentation of small objects.

With the rise of various online shopping platforms and the continuous development of deep learning technology, emerging applications such as clothing recommendation, matching, classification and virtual try-on system have emerged in the clothing field. Clothing parsing is the key technology to realize these applications. Therefore, improving the accuracy of clothing parsing is necessary.

Building on social exchange theory and selection, optimization and compensation theory, this study aims to examine a moderated curvilinear relationship between servant leadership (SL) and work-family conflict (WFC).

Participants were 329 female workers recruited from a Chinese small business in the service Industry. A three-step hierarchical regression was conducted to examine the relationships among the variables and the incremental contribution of SL and age and the squared term of SL.

Study results confirmed a curvilinear relationship between SL and WFC and the moderating effect of age. When younger female employees perceived a moderate range of SL from their supervisors, they reported higher WFC compared to the low or high level of perceived SL. On the contrary, senior female employees reported a lower level of WFC when they perceived a moderate level of SL than when they perceived very low or high levels.

SL research has experienced a period of exponential growth in the past decade. This study advanced the field of leadership by arguing that SL perceived by female employees is curvilinearly related to WFC and the curvilinear relationship is moderated by age.

The purpose of this paper is to develop and validate an instrument intended to measure servant leadership behavior in the Chinese hospitality industry.

After reviewing the literature, a scale of nine dimensions with 81 items was generated and then subjected to exploratory factor analysis (EFA) using a sample of 600 participants from a polytechnic college and hospitality industry, resulting in 6-factor-33-item solution. The derived measure was then shortened to 24 items by using item response theory (IRT). Drawing on the data from 440 respondents in the hospitality industry, this 6-factor-24 item measure was subsequently validated with confirmatory factor analysis (CFA) and the test of construct validity.

Difference in factors has been found between this instrument and western-developed scales. This study resulted in 6-dimension-24-items scale. These dimensions were named integrity, self-sacrifice, building community, empowering people, emotional healing and visioning. This servant leadership scale was demonstrated to have good internal consistency reliability and strong construct validity.

This is the first study that used IRT as a statistic tool to shorten a servant leadership scale and also this study provided additional support to cultural psychology theory.

The purpose of this study is to explore how gender and gender role identity separately and jointly affect managerial aspirations.

The study was cross-sectional in nature. Survey data were collected from Chinese Government sectors. Two-way analysis of variance was used to test the research hypotheses.

The results showed that gender role identity and combination of gender and gender role identity predict management aspirations while gender alone does not affect management aspirations. Androgynous individuals self-reported higher scores of managerial aspirations. Female managers who perceive themselves as androgynous and masculine tend to possess higher management aspirations. However, when they perceive themselves to exhibit feminine traits, they are more likely to hold lower management aspirations. Moreover, male managers with androgynous and feminine traits are inclined to have higher management aspirations.

Due to cross-sectional survey data, research results may be biased by common method variance. In addition, because of a convenient sample, the research results may lack generalizability. Moreover, with participants from different organizations, the percentage of men and women in the organization and participants’ role conflicts between work and family life would impact the gender role identity of individuals. Future research should control for the gender composition of the workplace and participants’ role conflicts between work and family life.

The findings can help narrow the gender gap of managerial aspirations through focusing on gender role identity in selecting managers and designing the leadership training program, ultimately resulting in diminishing disparity in top leadership positions between men and women.

This study examines how gender and gender role identity separately and jointly affects managerial aspirations in the Chinese context.

Learning and development are critical to a business’s success. This paper aims to focus on organizational factors at multiple organizational levels that facilitate learning culture in a small- and medium-sized enterprise (SME) in northwestern China.

This study is qualitative in nature. A single case study method is used to explore an SME’s organizational factors that facilitate learning culture.

This paper categorizes the organizational factors into seven dimensions: shared vision, creating continuous learning opportunities, informal learning that promotes inquiry and dialogue, collaboration and team learning, knowledge management systems, work–family enrichment and encouragement and support. This paper also compares the findings with learning culture models from Western research.

Chinese culture has far-reaching and fundamental effects on many East Asian countries and regions. For SMEs in similar cultural settings with a collectivist orientation, future research may focus on the effect of the work–family enrichment on learning culture.

Work–family enrichment was found to be an important factor that influences learning effectiveness in this Chinese small business based on traditional values in Chinese culture.