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Article

Lijuan Li, Magdalena Mo Ching Mok and Weidong Wu

The purpose of this paper is to examine the writing development of Hong Kong kindergarten students over 12 months. They attended 18 kindergartens territory-wide and were…

Abstract

Purpose

The purpose of this paper is to examine the writing development of Hong Kong kindergarten students over 12 months. They attended 18 kindergartens territory-wide and were followed from June 2002 to June 2003 for the collection of three waves of teacher-rated data at six-month intervals.

Design/methodology/approach

First, the construct validity of the translated and culturally adapted version of Morrow’s (2012) checklist which assesses writing development was confirmed, considering that the students attended Hong Kong kindergartens who wrote in the Chinese language. The multilevel analysis, which employed corrected measures captured through Wolfe and Chiu’s (1999a, 1999b) five-step Rasch scaling method for a common frame of reference, estimated the effects of the factors, namely, student age, gender, class level and schools.

Findings

The children’s progress over the second six months was also apparently much smaller than the first SIX months for this cohort. The dramatic slow-down in the second six-month period for both cohorts might be partly attributed to the peculiar arrangement of schooling at that time.

Research limitations/implications

The recommendation from this study is that random sampling and student test scores on writing need to be taken for the identification of the general trend of young children’s writing development in Hong Kong, as well as other Chinese communities alike.

Originality/value

The profile of the student’s emergent writing development at each six-month follow-up and over the 12 months was explored. Differences between the groups based on age, gender, class level and school in terms of student writing development on average were statistically significant.

Details

International Journal of Comparative Education and Development, vol. 21 no. 3
Type: Research Article
ISSN: 2396-7404

Keywords

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Article

Wu He, Weidong Zhang, Xin Tian, Ran Tao and Vasudeva Akula

Customer knowledge from social media can become an important organizational asset. The purpose of this paper is to identify useful customer knowledge including knowledge…

Abstract

Purpose

Customer knowledge from social media can become an important organizational asset. The purpose of this paper is to identify useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers from social media data and facilitate social media-based customer knowledge management.

Design/methodology/approach

The authors conducted a case study to analyze people’s online discussion on Twitter regarding laptop brands and manufacturers. After collecting relevant tweets using Twitter search APIs, the authors applied statistical analysis, text mining and sentiment analysis techniques to analyze the social media data set and visualize relevant insights and patterns in order to identify customer knowledge.

Findings

The paper identifies useful insights and knowledge from customers and knowledge about customers from social media data. Furthermore, the paper shows how the authors can use knowledge from customers and knowledge about customers to help companies develop knowledge for customers.

Originality/value

This is an original social media analytics study that discusses how to transform large-scale social media data into useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers.

Details

Journal of Enterprise Information Management, vol. 32 no. 1
Type: Research Article
ISSN: 1741-0398

Keywords

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Article

L. Kozielski, M. Adamczyk, A. Lisińska-Czekaj, D. Czekaj, R. Zachariasz, M. Pawełczyk and M. Pilch

Gaining the precise control over the matter at the nanometre scale is the main leitmotif in a majority of nanoscience oriented research measurements nowadays. The…

Abstract

Gaining the precise control over the matter at the nanometre scale is the main leitmotif in a majority of nanoscience oriented research measurements nowadays. The availability of new advanced tools, as a nanoindentation technique, for evaluation of the mechanical properties, seems to be prerequisite for exploitation of the dramatic development in nanoscience and meeting the emerging needs of the industries in new electronic applications. The nanoindentation technique was applied to evaluate the elastic modulus and hardness values as a function of indentation depth. However, in the presented experiment the nanoscale mechanical properties of BaBi2Nb2O9 ceramics have been characterized and compared with the macroscale measurements with macroscale method with the implementation of ultrasound techniques. A draw conclusion indicates that expensive nanoscale characterisation presented here is not fully consisted with the microscale. The reasons of such state of things are widely discussed.

Details

World Journal of Engineering, vol. 10 no. 4
Type: Research Article
ISSN: 1708-5284

Keywords

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Article

Xiaoyan Liu and Weidong Yu

PBO and p-aramids fibers were compared on thermal degradation in TG and DTG experiments, and PBO fiber showed the highest degradation temperature in both air and nitrogen…

Abstract

PBO and p-aramids fibers were compared on thermal degradation in TG and DTG experiments, and PBO fiber showed the highest degradation temperature in both air and nitrogen atmosphere. Annealed under high temperature of 100°C, 200°C, 300°C and 400°C for 1.5 hours, the tenacity of these samples all decreased with the temperature, while PBO fiber showed the best tensile retention property. Whereas using the xenon arc light to simulate sunlight irradiated on the PBO and Kevlar samples for different time respectively, PBO showed the worst tensile retention property. In contrast, the p-aramid fibers showed their relatively good mechanical stability when exposed to the simulated sunlight. Therefore, the application of PBO fibers should be careful in the state of sunlight irradiation although PBO has the highest original mechanical and thermal property.

Details

Research Journal of Textile and Apparel, vol. 10 no. 1
Type: Research Article
ISSN: 1560-6074

Keywords

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Article

Wu He, Xin Tian, Ran Tao, Weidong Zhang, Gongjun Yan and Vasudeva Akula

Online customer reviews could shed light into their experience, opinions, feelings, and concerns. To gain valuable knowledge about customers, it becomes increasingly…

Abstract

Purpose

Online customer reviews could shed light into their experience, opinions, feelings, and concerns. To gain valuable knowledge about customers, it becomes increasingly important for businesses to collect, monitor, analyze, summarize, and visualize online customer reviews posted on social media platforms such as online forums. However, analyzing social media data is challenging due to the vast increase of social media data. The purpose of this paper is to present an approach of using natural language preprocessing, text mining and sentiment analysis techniques to analyze online customer reviews related to various hotels through a case study.

Design/methodology/approach

This paper presents a tested approach of using natural language preprocessing, text mining, and sentiment analysis techniques to analyze online textual content. The value of the proposed approach was demonstrated through a case study using online hotel reviews.

Findings

The study found that the overall review star rating correlates pretty well with the sentiment scores for both the title and the full content of the online customer review. The case study also revealed that both extremely satisfied and extremely dissatisfied hotel customers share a common interest in the five categories: food, location, rooms, service, and staff.

Originality/value

This study analyzed the online reviews from English-speaking hotel customers in China to understand their preferred hotel attributes, main concerns or demands. This study also provides a feasible approach and a case study as an example to help enterprises more effectively apply social media analytics in practice.

Details

Online Information Review, vol. 41 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

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Article

Weidong Zhu, Quan Ku, Yong Wu, HongTao Zhang, Yibo Sun and Chao Zhang

With the advancement of social economy, science and technology, nowadays, people face increasingly complex decision-making problems and ever-growing decision-associated…

Abstract

Purpose

With the advancement of social economy, science and technology, nowadays, people face increasingly complex decision-making problems and ever-growing decision-associated information contents. Owing to the unique advantages of the evidence theory, evidence decision flow fits in well with the cognitive process of human beings, which provides us with an effective decision method. However, traditional evidence theories are built upon the one-dimensional evidence recognition framework, which merely reflects the reliability of information determined by evidence source and as such may fail to present the characteristic information of evidence source itself or the information required for the process of determining reliability. This greatly influences processes in decision-making, such as evidence processing and combination. This essay aims to propose a two-dimensional evidence-reasoning theory to address specific decision problems.

Design/methodology/approach

This article uses a two-dimensional evidence framework to reflect the process and characteristic information of evidence source based on the traditional evidence framework. As a result, evidence is processed and combined by two-dimensional modified information.

Findings

This research is of theoretical and practical significance by extending theoretical connotation, fully utilizing precise evidence information and therefore meeting the requirements of efficient and accurate decision-making performances.

Originality/value

The theory adds a two-dimension to modify and capture evidence on the basis of the traditional evidence framework. This proposal has significant theoretical and practical value to expand evidence theory and provides more accurate use of evidence information, higher efficiency and quality requirements and more precise decision-making.

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Article

Weidong Wang, Wenrui Gao, DongMei Wu and Zhijiang Du

The paper aims to present a tracked robot comprised of several biochemical sampling instruments and a universal control architecture. In addition, a dynamic motion…

Abstract

Purpose

The paper aims to present a tracked robot comprised of several biochemical sampling instruments and a universal control architecture. In addition, a dynamic motion planning strategy and autonomous modules in sampling tasks are designed and illustrated at length.

Design/methodology/approach

Several sampling instruments with position tolerance and sealing property are specifically developed, and a robotic operation system (ROS)-based universal control architecture is established. Then, based on the system, two typical problems in sampling tasks, i.e. arm motion planning in unknown environment and autonomous modules, are discussed, implemented and tested. Inspired by the idea of Gaussian process classification (GPC) and Gaussian process (GP) information entropy, three-dimensional (3D) geometric modeling and arm obstacle avoidance strategy are implemented and proven successfully. Moreover, autonomous modules during sampling process are discussed and realized.

Findings

Smooth implementations of the two experiments justify the validity and extensibility of the robot control scheme. Furthermore, the former experiment proves the efficiency of arm obstacle avoidance strategy, while the later one demonstrates the time reduction and accuracy improvement in sampling tasks as the autonomous actions.

Practical implications

The proposed control architecture can be applied to more mobile and industrial robots for its feasible and extensible scheme, and the utility function in arm path planning strategy can also be utilized for other information-driven exploration tasks.

Originality/value

Several specific biochemical sampling instruments are presented in detail, while ROS and Moveit! are integrated into the system scheme, making the robot extensible, achievable and real-time. Based on the control scheme, an information-driven path planning algorithm and automation in sampling tasks are conceived and implemented.

Details

Industrial Robot: An International Journal, vol. 44 no. 4
Type: Research Article
ISSN: 0143-991X

Keywords

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Article

Yong Wu and Weidong Zhu

Knowledge sharing has been recognized as a positive force for the survival of an organization but the factors that promote or discourage knowledge sharing behaviors in the…

Abstract

Purpose

Knowledge sharing has been recognized as a positive force for the survival of an organization but the factors that promote or discourage knowledge sharing behaviors in the organizational context are poorly understood. The purpose of this paper is to enhance our collective understanding of the factors affecting knowledge sharing behaviors of knowledge workers in the organizational context.

Design/methodology/approach

Drawing from multiple streams of research including social psychology, organizational learning, knowledge management, information systems and so forth, this research developed an integrated theoretical model. The Theory of Planned Behavior model, motivation theory, social exchange theory, economic exchange theory and self determination theory were employed here. In total, 180 responses from ten companies in China were collected.

Findings

The theoretical model was validated within the context of a single empirical study. The findings provided significant statistical support for the research model, accounting for about 60 percent of the variance in the behavioral intention to share knowledge and 41 percent variance in the actual knowledge sharing behavior. In total, 11 of the 12 hypothesized relationships were supported.

Originality/value

This exploratory research attempted to fill the void in the integrative research by investigating the most crucial factors that influence the knowledge sharing behaviors of knowledge workers.

Details

Kybernetes, vol. 41 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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Article

Weidong Zhu, Yufei Tian, Xue Hu, Quan Ku and Xiaoya Dai

The purpose of this paper is to reveal the pattern between government innovation funding and enterprise value creation. Many factors, including government innovation…

Abstract

Purpose

The purpose of this paper is to reveal the pattern between government innovation funding and enterprise value creation. Many factors, including government innovation funding, R&D ability, corporate governance and some company characteristics significantly affected the efficiency of firm value creation.

Design/methodology/approach

This paper proposed a novel methodology based on clustering-rough sets to explore the characteristics of enterprise value creation behavior, and map the relationship between government innovation funding and enterprise value creation. The agglomerative hierarchical clustering (AHC) algorithm were used to classify firm performance and get two types of value creation efficiencies and to discretize condition attributes because the rough set theory cannot deal with continuous attributes. This paper utilized the rough sets method to realize data mining and get rules of government innovation funding and enterprise value creation.

Findings

R&D ability, proportion of independent directors, remuneration of directors, operating revenue, number of employees, price-earnings ratio, quick ratio, capital intensity and ROA were important to identify firm value creation efficiency when government funded the firms. Firms of high level of government innovation funding, high lagged R&D ratio, high remuneration of directors, low price-earnings ratio, low quick ratio, moderate capital intensity and high ROA were more likely to have high efficiency of value creation.

Originality/value

Since China implemented the innovation-driven development strategy, facilitating enterprise innovation has become an important way to achieve high-quality economic growth. With constantly increasing of Chinese government innovation funding, studying on the effect of government innovation funding on firm’s value creation is significant to improve the efficiency of government resource allocation. It is valuable to reveal the pattern between government innovation funding and enterprise value creation based on the value added theory. The rules obtained could be used to provide decision-making support to improve the efficiency of government innovation funding and prevent waste of government resources effectively.

Details

Kybernetes, vol. 49 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

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Article

Jiangtao Xu, Hui Qi, Weidong Chen and Xiande Wu

The purpose of this paper is to develop an attitude control strategy for the reusable boosted vehicle with large angle of attack, and to remove the cross coupling among…

Abstract

Purpose

The purpose of this paper is to develop an attitude control strategy for the reusable boosted vehicle with large angle of attack, and to remove the cross coupling among roll, pitch and yaw channels.

Design/methodology/approach

The coordinated gain scheduling control strategy consists mainly of two parts. First, initially ignoring dynamic coupling, single channel gain scheduling controller is designed based on linearized models, respectively. Second, with respect to main channel gain scheduling controller, coordinated scheduling controller is used to generate intentionally cross coupling to partly cancel inter‐channel cross coupling of reusable boosted vehicle.

Findings

A coordinated gain scheduling control strategy is presented, and no such analytical solution can be found for the reusable boosted vehicle.

Practical implications

The design idea of coordinated gain scheduling strategy is straightforward in physical concepts and has great value for engineering applications.

Originality/value

Coordinated gain scheduling control strategy is novel in that single channel gain scheduling design does not involve small perturbation linearization and coordinated channel is scheduled.

Details

Aircraft Engineering and Aerospace Technology, vol. 85 no. 5
Type: Research Article
ISSN: 0002-2667

Keywords

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