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Book sorting system is one of specific application in smart library scenarios, and it now has been widely used in most libraries based on RFID (radio-frequency identification devices) technology. Book identification processing is one of the core parts of a book sorting system, and the efficiency and accuracy of book identification are extremely critical to all libraries. In this paper, the authors propose a new image recognition method to identify books in libraries based on barcode decoding together with deep learning optical character recognition (OCR) and describe its application in library book identification processing.

The identification process relies on recognition of the images or videos of the book cover moving on a conveyor belt. Barcode is printed on or attached to the surface of each book. Deep learning OCR program is applied to improve the accuracy of recognition, especially when the barcode is blurred or faded. The approach the authors proposed is robust with high accuracy and good performance, even though input pictures are not in high resolution and the book covers are not always vertical.

The proposed method with deep learning OCR achieves best accuracy in different vertical, skewed and blurred image conditions.

Methods that the authors proposed need to cooperate and practice in different book sorting machine.

The authors collected more than 500 books from a library. These photos display the cover of more than 100 randomly picked books with backgrounds in different colors, each of which has about five different pictures captured from variety angles. The proposed method combines traditional barcode identification algorithm with the authors’ modification to locate and deskew the image. And deep learning OCR is involved to enhance the accuracy when the barcode is blurred or partly faded. Book sorting system design based on this method will also be introduced.

Experiment demonstrates that the accuracy of the proposed method is high in real-time test and achieves good accuracy even when the barcode is blurred. Deep learning is very effective in analyzing image content, and a corresponding series of methods have been formed in video content understanding, which can be a greater advantage and play a role in the application scene of intelligent library.

The purpose of this paper is to assess the process of prefabricated construction (PC) and analyze the impacts of rework risk to identify the core tasks for which the rework risk has severe impacts.

The methods consist of a literature review, expert interviews, a questionnaire survey and a rework risk function. The expert interviews and questionnaire survey were administered to experts in the entire process of PC from the dimensions of rework frequency, rework cost and rework time. Descriptive and inferential statistics were employed to analyze the data. The rework risk function was based on the loss expectancy method.

There are 13 core tasks that have higher impacts than the average level. The core tasks in the design stage account for 100% of the tasks in the stage, those in the manufacturing stage account for 20% and those in the construction stage account for 23.1%. Compared with the other stages, the design stage is characterized by significantly more frequent rework, higher rework costs and longer rework time. The manufacturing stage is characterized by significantly higher rework costs than the construction stage. The manufacturing stage and construction stage are co-reliant, and both are impacted by the design stage.

The findings provide stakeholders with a clear understanding of the core tasks of the PC process and represent a method for identifying core tasks. Stakeholders can learn from this to focus on the core tasks to reduce rework risk and manage the process with the priority of PC rework management based on the following order: design > manufacturing > construction. The approach is suitable for core task identification in other areas.

This research provides insight into rework risk management and provides a novel analysis method for rework risk and PC management from the perspective of the construction process. The findings are valuable for supporting stakeholders in making effective construction plans to reduce the impacts of rework risk in PC and provide a reference for future research on process optimization.

The purpose of this paper is to examine the non‐economic outcome of globalization, the penetration of Confucian philosophy into the Western workforce, as represented by the USA.

With a survey method, a sample of 581 East Asians, American‐born Asian Americans, immigrant Asian Americans, and Caucasian Americans in the USA were included in the study. Statistical analysis was used to test three hypotheses.

The findings revealed that Confucian philosophy has penetrated in the Western world. The presence of Confucian philosophy was identified, but varied by cultural background, gender, education, and work experience.

The results revealed an important aspect of the non‐economic outcomes of globalization and may offer explanations for the effects of racio‐ethnic diversity on affective reactions, performance, and social processes within groups. The results may be used to inform organizational diversity management and training for a meaningful intercultural understanding in relation to attitude and behavior change under the intensified globalization process.

This is an initial attempt to examine a non‐economic outcome of globalization, Confucianization, in the Western workplace with the evidence from the USA. While most recent studies in this area have been focused on the economic impact of globalization in organizations, this research examined the culture penetration of Confucian philosophy from the East to the West.

This paper reconsiders the approaches to measuring Confucian values, and tests their association with workforce performance. The purpose of this paper is to examine how such values and performances are prioritized across three East Asian societies, but more importantly, identifies how variations across societies might result from the way in which Confucianism has been transformed/appropriated differently across history.

A Best-Worst experimental design is used to measure three aspects of Confucianism (relational, pedagogical, and transformative), and three aspects of workforce performance (mindset, organization, and process) to capture the trade-offs by respondents from three East Asian societies: China (n=274), Taiwan (n=264), and South Korea (n=254). The study employs analysis of variance with post-hoc tests to examine differences between societies. A hierarchical cluster analysis using Ward’s method is utilized to identify clusters based on similarities within the data. And last, multiple regression analysis is applied to determine the explanatory power of Confucian values on workforce performance.

Findings confirm the prioritization of three aspects of Confucianism (relational, pedagogical, and transformative) to differ between Mainland Chinese, Taiwan Chinese, and Korean respondents – producing five distinct clusters based on similarities across three societies. Overall, between 7 and 27 percent of the variance in workforce performance could be explained by the Confucian values included in this study.

This study highlights the “different shades of Confucianism” across East Asian societies, which we coin as Confucian Origin, Preservation, and Pragmatism, and demonstrates the need to take a multifaceted perspective in the measurement of Confucian culture. The study provides empirical support for the link between Confucianism and performance at the micro-level, as originally proposed by Baumann and Winzar (2017), and identifies specific antecedents of behavior for research moving forward.

The purpose of this paper is to examine the influence of the Chinese cultural architecture on motivating workplace behaviour for enhanced productivity in Chinese workplaces.

The paper describes the Chinese cultural architecture and presents a cursory review of the substantive literature in this field. Based on this review, a conceptual framework for managing within Chinese organizations is presented, based on the first‐hand experience in the field as well as anecdotal evidence provided by practitioners in international management.

In the light of research, which suggests that the realities about motivation in the context of Chinese workplaces are more complicated than originally thought, this paper moves away from viewing Chinese workplace behaviour from a purely systems‐based perspective. Although ideas about collectivism and individualism certainly explain important aspects of workplace behaviour, an orientation to practicality and the emotive side of life in Chinese workplaces also affects behaviour in quite subtle ways.

While the development of a conceptual framework for practicing managers provides a guide to managing in China, work that is more empirical is necessary to test the resilience of the framework.

The paper offers practical steps to improve the performance and productivity of both managers and employees in Chinese organizations.

The framework presented utilizes the conventional collectivism/individualism dichotomy with notions of practicality and emotion in Chinese workplaces. This is one potential step forward to the development of a more motivating management style in China.

This paper aims to demonstrate the degree of dissimilarities among Chinese individuals' value profiles by using data collected from Shanghai and Hong Kong.

The shortened version of the Rokeach Value Survey for consumer research by Munson and McQuarrie was used. The data collection was done by distributing copies of questionnaires to researchers' contacts who worked at financial intuitions, e.g. banks, brokers and insurance agencies in Shanghai and Hong Kong.

The current study demonstrates the degree of dissimilarities among Chinese individuals' value profiles by using data collected from Shanghai and Hong Kong.

The study selects two developed cities of China only and the samples from the two cities are relatively small.

The results imply that value‐based information should be used together with demographic information for segmenting the market. The study suggests the number of segments for Shanghai and Hong Kong.

This study explains the significance of studying values in the context of market segmentation, particularly among Chinese populations.

The purpose of this paper is to investigate the changes in Chinese workers’ values by comparing the work-related values of the One-Child Generation (OCG), the Social Reform Generation and the Cultural Revolution Generation.

A survey was conducted with 918 Chinese employees, the vast majority of them working for Chinese domestic firms in Guangzhou, Shaoguan and Harbin. The collected data were analysed mainly using ANOVA, Tukey’s pairwise comparison and Kruskall–Wallis tests.

The OCG was found to place less importance on income and job security, while possessing higher tolerance towards the practice of nepotism, than the older two generations. The authors found no significant differences in the levels of intrinsic values and altruism among the three generations. Additionally, the results indicate overall low altruistic values and high extrinsic values across all three generations of Chinese workers.

China’s unprecedented generation of only-children as workers is an unknown factor. It is only now, over a decade after the OCG first entered the job market, that a comparative study between their work values and those of previous generations has become possible. This study exploits the momentum and is one of the first studies to include the OCG in the investigation of work value changes in Chinese society.

The Chinese construction industry is experiencing a rapid growth these days. Due to the requirements of energy conservation, emission reduction and construction waste management, the development of prefabricated buildings (PBs) has attracted much attention in the Chinese construction industry. However, the development of PBs are still in their infancy in China, which have been negatively impacted by many obstacles. It is of great significance to clarify and analyze these obstacles for the purpose of promoting the development of PBs in China. Due to the wideness and complex features of obstacles, the existing literature exploring the research topic lacks comprehensiveness. The purpose of this paper is to systematically identify and discuss the obstacles that hinder the development of PBs in China.

This paper adopts the method of news report analysis based on the news reports retrieved from China National Knowledge Infrastructure (CNKI) and nine major portals in China. The Term Frequency-Inverse Document Frequency (TF-IDF) method of content analysis was used to rank the obstacles according to their importance.

A total of 79 obstacles to the development of PBs in China are identified, and the 79 obstacles are divided into 8 dimensions. Among the Top 20 obstacles, the government dimension accounted for the highest number of 5, the market and consumer dimension and development organization dimension were 4, Manufacturing Enterprise of Prefabricated Components (PCs) dimension, construction organization dimension and design organization dimension were 2, logistics enterprise dimension was 1, and industry association dimension was 0. Among them, the biggest obstacle is the high transportation costs.

First, data collection may not be very comprehensive. Second, this paper is only based on the obstacles in the development of PBs in China, and the universality of the management conclusions needs to be further strengthened.

The research results help the stakeholders in the Chinese PBs industry to better understand the barriers hindering the industry development in a systemic way, which will help propose appropriate strategies to address these barriers.

This paper clarifies the obstacles of China's PBs and makes an analysis, which is of great value to the development of China's PBs.