Yanhui Han*, Shunping Wei and Shaogang Zhang
In the field of education in China, a large number of learning management systems have been deployed, in which vast amounts of data on learners and learning processes have been…
Abstract
In the field of education in China, a large number of learning management systems have been deployed, in which vast amounts of data on learners and learning processes have been stored. How can one make use of these data? How can one transform the data into information and knowledge that inform decision-making in teaching and optimize learning? These questions have become a matter of concern for educators and learners. Learning analytics helps to unlock the value of the learning process data, so that the data can become an important basis for prudent decisions and process optimization. 'Learning analytics' was listed in the 2013 NMC Horizon Report as one of the emerging technologies that will have a great impact on learning, teaching and innovative research in higher education in two to three years. The report notes that learning analytics aims to decipher trends and patterns in the teaching and learning process from educational big data. In this paper, an online course on the Moodle platform is used for the research. The study examines reflection on online teaching and learning based on massive records of the learning process from the perspective of a tutor employing learning analytics. It is a brand new form of reflection on teaching and learning. The analysis of interactive course forums can help tutors to focus on key teaching and learning activities, and achieve more accurate analysis than with conventional face-to-face teaching activities. The research indicates that learning analytics is effective in supporting tutor reflection on interactive online teaching and learning.
Details
Keywords
Dongxing Cao, Yanhui Han, Chunxiang Cui and Kaicheng Qi
The purpose of this paper is to implement the modeling of the design process in response to volatile market demands. It mainly focuses on design activities for product development…
Abstract
Purpose
The purpose of this paper is to implement the modeling of the design process in response to volatile market demands. It mainly focuses on design activities for product development towards the early stage.
Design/methodology/approach
This paper describes the system of products from the systems engineering point of view, analyzes the attributes of products and components, studies the environment and its input/output relationship and implements product formal representation, respectively. This paper gives product structure and component connections, describes the process of structure generations and product decomposition by set representation, calculates the number of component connections and density of components; also it presents product module division and coupling degree analysis in accordance with axiomatic theory; coupling degree is calculated by considering the correspondence ratio and the cluster independence.
Findings
It describes the product as an engineering system, and analyzes product systems and product structures through using systems theory. Design process modeling is analyzed, and a strategic approach to decomposing product structure and calculating modularity is adopted for product development.
Research limitations/implications
Accessibility and availability mainly focus on product system development.
Practical implications
The paper offers useful advice for the modeling process of product conceptual design.
Originality/value
The new approach to conceptual design is based on set representation and systems analysis as well as axiomatic theory. The paper is aimed at understanding evolution mechanism of complexity product systems.
Details
Keywords
Qingfeng Meng, Yifan Zhang, Zhen Li, Weixiang Shi, Jun Wang, Yanhui Sun, Li Xu and Xiangyu Wang
The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.
Abstract
Purpose
The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.
Design/methodology/approach
Using quantitative and qualitative bibliometric statistical methods, the current mode of interaction between BIM and other related technologies is summarized.
Findings
This paper identified 24 different BIM applications in the life cycle. From two perspectives, the implementation status of BIM applications and integrated technologies are respectively studied. The future industry development framework is drawn comprehensively. We summarized the challenges of BIM applications from the perspectives of management, technology and promotion, and confirmed that most of the challenges come from the two driving factors of promotion and management.
Research limitations/implications
The technical challenges reviewed in this paper are from the collected literature we have extracted, which is only a part of the practical challenges and not comprehensive enough.
Practical implications
We summarized the current mode of interactive use of BIM and sorted out the challenges faced by BIM applications to provide reference for the risks and challenges faced by the future industry.
Originality/value
There is little literature to integrate BIM applications and to establish BIM related challenges and risk frameworks. In this paper, we provide a review of the current implementation level of BIM and the risks and challenges of stakeholders through three aspects of management, technology and promotion.
Details
Keywords
Yanhui Hou, Fan Meng, Jiakun Wang and Yun Li
Under the background of coexistence of information overload and information fragmentation, it is of great significance to identify influencing factors and reveal the evolution…
Abstract
Purpose
Under the background of coexistence of information overload and information fragmentation, it is of great significance to identify influencing factors and reveal the evolution logic of public opinion for public opinion governance.
Design/methodology/approach
Taking 24 hot social events as research cases, firstly, the evolution process of public opinion was divided into initial stage and response stage. Secondly, eight antecedent variables were extracted for qualitative comparative analysis of fuzzy sets. Finally, the configuration path of public opinion evolution results was summarized.
Findings
The research showed that compared with the initial stage, the influencing factors in the reaction stage played a key role in the continuous evolution of public opinion. The influencing factors in the initial stage and response stage played an indispensable role in promoting the evolution of public opinion to calm down.
Practical implications
This research can provide reference for regulators to timely grasp the initiative, discourse power and leadership of public opinion development.
Originality/value
Research on the two-stage configuration path of public opinion evolution is helpful to clarify the key factors affecting the evolution trend of online public opinion of hot events.
Details
Keywords
Xiaoping Zhang, Yanhui Li, Meixiu Li, Heng Zheng, Qiuju Du, Hong Li, Yuqi Wang, Dechang Wang, Cuiping Wang, Kunyan Sui, Hongliang Li and Yanzhi Xia
The purpose of this paper is to purify the wastewater in the garment industry.
Abstract
Purpose
The purpose of this paper is to purify the wastewater in the garment industry.
Design/methodology/approach
The preparation of the calcium alginate (CA)/activated carbon (AC) composite membrane was achieved by vacuum freeze-drying and the cross-linking reaction between sodium alginate and CaCl2. Effective parameters in the methylene blue (MB) adsorption such as temperature, dose, contact time and pH were discussed. The adsorption properties of the composite membrane were investigated by isotherm, kinetics and thermodynamic analysis. The adsorption equilibrium data were described by the adsorption isotherm Langmuir model and the Freundlich model. The pseudo-first-order, pseudo-second-order and intra-particle diffusion equations were selected to evaluate the kinetics. The thermodynamic study described that the adsorption reaction was spontaneous and exothermic.
Findings
The AC/CA membrane is an efficient and powerful adsorbent to remove MB in printing and dyeing wastewater, and provides a new idea for the selection of adsorption materials for industrial printing and dyeing wastewater.
Practical implications
The composite membrane research on CA and AC can provide new ideas for the research of these kinds of materials.
Social implications
The paper contributes to its wider and convenientapplication in wastewater treatment.
Originality/value
Studies on the combination of CA and AC into adsorption membranes and for the removal of dyes from printing and dyeing wastewater have not been reported. A novel composite material is provided for treatment dyeing wastewater in garment production. The composite membrane research on CA and AC can provide new ideas for the research of these kinds of materials and contribute to its wider and convenient application in wastewater treatment.
Details
Keywords
Yanhui Wei, Zhiling Meng, Na Liu and Jianqi Mao
This paper aims to investigate the relationship linking hard technology innovation with the high-quality development (HDP) of SRDI firms. SRDI firms are typically classified as…
Abstract
Purpose
This paper aims to investigate the relationship linking hard technology innovation with the high-quality development (HDP) of SRDI firms. SRDI firms are typically classified as medium-sized to moderately scaled businesses renowned for their specialized, refinement, differentiation and innovation (SRDI), with a focus on providing exceptional products or services to gain a competitive advantage in specific market segments. These firms are dedicated to expanding market share and enhancing innovation capacities both locally and globally. The research also aims to scrutinize the contextual effects of digital transformation within this framework.
Design/methodology/approach
Hard technology innovation consists of three essential components: innovative characteristics, newly developed technology-based intellectual property rights and the volume of R&D initiatives. The evaluation of HDP was performed utilizing the entropy method, with a specific emphasis on assessing value creation and value management capabilities. Subsequently, this study explores the impact of technological innovation on the HDP of firms using a dual-dimension fixed effects model.
Findings
Every aspect of hard technology innovation is essential for promoting the HDP of businesses. The digital transformation of businesses exerts a heterogeneous moderating influence in this process. This is evident in the constructive impact on the connection between innovation attributes and the volume of fruitful R&D initiatives, as well as the HDP of firms. Conversely, the moderating effect is deemed insignificant in the association between new technology-based intellectual property and HDP.
Originality/value
This research delves deeper into the underlying mechanisms that underlie the promotion of HDP through hard technology innovation, thereby expanding the scope of our exploration on the HDP of SRDI firms. It establishes a theoretical framework and practical directives for achieving enhanced development quality amidst the evolving landscape of digital transformation within firms.
Details
Keywords
Cuicui Chen, Qian Yang, Qingan Chen, Yanhui Wang, Dong Xu, Hezong Li, Xiliang Zhang, Christopher M. Harvey and Jiwei Liu
This study aims to investigate the effects of graphite-MoS2 composite solid lubricant on the tribological properties of copper-based bearing materials under dry conditions.
Abstract
Purpose
This study aims to investigate the effects of graphite-MoS2 composite solid lubricant on the tribological properties of copper-based bearing materials under dry conditions.
Design/methodology/approach
The mixture of Graphite-MoS2 was inlaid in ZQSn6-6–3 tin bronze and ZQAl9-4 aluminum bronze matrix. These copper-embedded self-lubricating bearing materials were considered in friction pairs with 2Cr13 stainless steel, and their tribological properties were studied by using an MM200 wear test machine.
Findings
The results show that the friction coefficients and wear rates of copper-embedded self-lubricating bearing materials are lower than those of the ordinary copper-based bearing materials. The wear performance of the tin bronze inlaid self-lubricating bearing material is better than that of the aluminum bronze inlaid self-lubricating bearing material. The wear mechanism of the tin bronze bearing material is mainly adhesive wear, and that of the aluminum bronze bearing material is mainly grinding wear, oxidation wear and adhesive wear. The copper-embedded self-lubricating bearing materials had no obvious abrasion, whereas the aluminum bronze inlaid self-lubricating bearing material exhibited deep furrows and obvious abrasion under high loads.
Originality/value
These results are helpful for the application of copper-embedded self-lubricating bearing materials.
Details
Keywords
Yanhui Chen, Bin Liu and Tianzi Wang
This paper applied grey wave forecasting in a decomposition–ensemble forecasting method for modelling the complex and non-linear features in time series data. This application…
Abstract
Purpose
This paper applied grey wave forecasting in a decomposition–ensemble forecasting method for modelling the complex and non-linear features in time series data. This application aims to test the advantages of grey wave forecasting method in predicting time series with periodic fluctuations.
Design/methodology/approach
The decomposition–ensemble method combines empirical mode decomposition (EMD), component reconstruction technology and grey wave forecasting. More specifically, EMD is used to decompose time series data into different intrinsic mode function (IMF) components in the first step. Permutation entropy and the average of each IMF are checked for component reconstruction. Then the grey wave forecasting model or ARMA is used to predict each IMF according to the characters of each IMF.
Findings
In the empirical analysis, the China container freight index (CCFI) is applied in checking prediction performance. Using two different time periods, the results show that the proposed method performs better than random walk and ARMA in multi-step-ahead prediction.
Originality/value
The decomposition–ensemble method based on EMD and grey wave forecasting model expands the application area of the grey system theory and graphic forecasting method. Grey wave forecasting performs better for data set with periodic fluctuations. Forecasting CCFI assists practitioners in the shipping industry in decision-making.
Details
Keywords
Yanhui Du, Jingfeng Yuan, ShouQing Wang, Yan Liu and Ningshuang Zeng
The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation…
Abstract
Purpose
The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight.
Design/methodology/approach
This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design.
Findings
The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development.
Originality/value
This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.
Details
Keywords
Jianhui Yan, Yu Zheng, Jiaxin Bao, Chongyu Lu, Yanhui Jiang, Zhi Yang and Chulan Feng
This paper aims to investigate how to improve new product performance in turbulent circumstances of emerging economies.
Abstract
Purpose
This paper aims to investigate how to improve new product performance in turbulent circumstances of emerging economies.
Design/methodology/approach
This paper used regression analysis to examine the performance impact of customer relationship management (CRM) and product development management (PDM) concentration strategy in new product development (NPD). A detailed contingent analysis of the market and institutional environments in emerging economies is also conducted based on a survey of 114 Chinese high-tech manufacturers.
Findings
The research findings show that PDM has a stronger positive effect on new product performance than CRM in emerging economies and that the contingent effects of the market and institutional environment vary. More specifically, technological turbulence and enforcement inefficiency can positively moderate the relationship between CRM and new product performance, whereas the moderating effect of market turbulence on CRM is negative. Meanwhile, enforcement inefficiency negatively moderates the effect of PDM on new product performance, while the moderating effect of market turbulence on PDM is positive.
Research limitations/implications
This paper is limited to a survey of high-tech manufacturing enterprises in China. Further research should continues to explore and document the strategic issue about NPD in emerging economies by longitudinal study.
Originality/value
This paper contributed to theoretical and practical initiatives on the strategic issue of NPD and provided firms a further understanding of how to select the right NPD strategy in emerging economies to improve new product performance.