This chapter critically evaluates whether football can attain recognition as a national sport in China. Article No. 11, released by the Chinese government in 2015, aimed to…
Abstract
This chapter critically evaluates whether football can attain recognition as a national sport in China. Article No. 11, released by the Chinese government in 2015, aimed to develop a new national strategy centralised on the sport of football to foster consumption and enhance national soft power. Consequently, this also means encouraging Chinese football fans to support the national football team. Comparing the significance of local football clubs and the national football team to Chinese football fans is deemed meaningless and unable to generate useful information to comprehend Chinese people's attitudes towards local and national communities. Through literature comparisons with established Chinese national sports such as Chinese martial arts, badminton and table tennis, the discussion reveals that football currently falls short of meeting the general criteria of invention and popularity to be considered a Chinese national sport. In the specific Chinese context, it also proves that football fails to meet the criterion of politics, hindering its identification as a national sport. Consequently, the chapter rebuts the assumption and advocates for the validity of comparing how fans assess their fandom for local and national football teams.
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This study aims to examine how three perceived interactivity attributes of massive open online courses (MOOCs), namely, perceived active control, perceived synchronicity and…
Abstract
Purpose
This study aims to examine how three perceived interactivity attributes of massive open online courses (MOOCs), namely, perceived active control, perceived synchronicity and perceived two-way communication, impact individuals' engagement and continuance intention of MOOCs through the stimulus-organism-response (S-O-R) lens and how that effect differs between male and female users.
Design/methodology/approach
Drawing upon S-O-R as an overarching theoretical framework, this study conducted an empirical study in China and collected 294 valid questionnaires from online learners. Structural equation modeling approach was used to examine the proposed research model.
Findings
Empirical results suggest that perceived active control, perceived synchronicity and perceived two-way communication are significant stimuli of individuals' continuance intention of MOOCs, and the influences of perceived active control and perceived synchronicity are partially or fully mediated by engagement on the platform. Multi-group analysis results further indicate that perceived synchronicity has a stronger influence on engagement on the platform for males, while perceived active control and perceived two-way communication are more salient in stimulating engagement on the platform for females.
Practical implications
Research findings from the present study can serve as the foundation to guide MOOCs’ administrators to respond to the needs of participants through interactivity designed into the platform and shed light on possible key solutions of high dropout rates in MOOCs.
Originality/value
This study uncovers the mediating mechanism of affective engagement between interactivity and continuance intention in the emerging context of the latest online learning platform MOOCs and reveals the behavioral differences between females and males regarding their affective reactions to the three interactivity attributes.
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Longjun Liu, Jing Long, Qing Fan, Wenhai Wan and Ruhong Liu
This study aims to explore the influence mechanism of digital platform capability on firm performance in the business-to-business (B2B) context. This study draws on the core…
Abstract
Purpose
This study aims to explore the influence mechanism of digital platform capability on firm performance in the business-to-business (B2B) context. This study draws on the core competence theory and the resource-based view and includes resource identification, resource allocation and intrapreneurship into the research framework.
Design/methodology/approach
Data were collected from 167 B2B firms with survey questionnaires in central, eastern and southeastern coastal areas of China. The firms were mainly involved in e-commerce, manufacturing, service industry and internet technology. Participants were mainly middle and senior managers with a comprehensive grasp of their firms’ information.
Findings
This study found that digital platform capability has a positive impact on a B2B firm’s performance. Resource identification, resource allocation and intrapreneurship play a chain mediating role between digital platform capability and firm performance. That is, digital platform capability could promote employee intrapreneurship through resource identification and resource allocation, thereby improving firm performance.
Practical implications
Aiming to gain performance, firms should pay attention to the construction of digital platforms, increase venture capital investment and provide more resources to support intrapreneurship.
Originality/value
Based on empirical evidence, to the best of authors’ knowledge, this is the first attempt to link digital platform capability and firm performance in the B2B context of emerging markets, providing a new perspective to clarify its relationship mechanism.
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Xinmin Liu, Yanan Zhang and Liu Fan
This study aims to investigate the influence of three key categories of perceived entrepreneurial obstacles (perceived loss of financial resources, perceived loss of customer…
Abstract
Purpose
This study aims to investigate the influence of three key categories of perceived entrepreneurial obstacles (perceived loss of financial resources, perceived loss of customer demand and perceived loss of social support) on entrepreneurial behavior tendency through fear of failure and negative emotion to shed light on why Chinese entrepreneurship has fallen into a decline from the individual level.
Design/methodology/approach
A sample of 256 Chinese makers who were achieving their innovative ideas in makerspaces was used to test the research model. Then, the structural equation modeling was adopted for data analysis.
Findings
The results indicate that fear of failure is the strongest psychological barrier to entrepreneurial behavior tendency and the strongest trigger for negative emotion; both negative emotion and fear of failure are affected by entrepreneurial obstacles of perceived loss of financial resources and perceived loss of social support. However, perceived loss of customer demand is not the inducement for both fear of failure and negative emotion.
Originality/value
This study adopts stressor-strain-outcome framework in studying entrepreneurship to help understand what prevent potential entrepreneurs from stepping into entrepreneurship. In addition, this study offers a new insight into entrepreneurship by emphasizing the decisive impact of inhibitive factors on personal entrepreneurship.
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Xiaojun Zhao, Fanhui Meng, Zhiguang Cheng, Lanrong Liu, Junjie Zhang and Chao Fan
This paper aims to investigate an efficient approach to model the electromagnetic behaviors and predict stray-field loss inside the magnetic steel plate under 3D harmonic…
Abstract
Purpose
This paper aims to investigate an efficient approach to model the electromagnetic behaviors and predict stray-field loss inside the magnetic steel plate under 3D harmonic magnetization conditions so as to effectively prevent the structural components from local overheating and insulation damage in electromagnetic devices.
Design/methodology/approach
An experimental setup is applied to measure all the magnetic properties of magnetic steel plate under harmonic excitations with different frequencies and phase angles. The measurement and numerical simulation are carried out based on the updated TEAM Problem 21 Model B+ (P210-B+), under the 3D harmonic magnetization conditions. An improved method to evaluate the stray-field loss is proposed, and harmonic flux distribution in the structural components is analyzed.
Findings
The influence of the harmonic order and phase angle on the stray-field loss in magnetic steel components are noteworthy. Based on the engineering-oriented benchmark models, the variations of stray-field losses and magnetic field distribution inside the magnetic components under harmonic magnetization conditions are presented and analyzed in detail.
Research limitations/implications
The capacity of the multi-function harmonic source, used in this work, was not large enough, which limits the magnetization level. Up to now, further improvements to increase the harmonic source capacity and investigations of the electromagnetic behaviors of magnetic steel components under multi-harmonic and DC-AC hybrid excitations are in progress.
Originality/value
To accurately predict the stray-field loss in magnetic steel plate, the improved method based on the combination of magnetic measurement and numerical simulation is proposed. The effects of the frequency and phase angle on the stray-field loss are analyzed.
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Zhen Shao, Lin Zhang, Kuanchin Chen and Chenliang Zhang
The aim of this study is to explore, identify and understand the impact of technology affordance in the context of social networking sites (SNSs). Moreover, this study…
Abstract
Purpose
The aim of this study is to explore, identify and understand the impact of technology affordance in the context of social networking sites (SNSs). Moreover, this study incorporates user experience as a moderator, in order to explore behavioral differences between veterans (high-experience users) and newbies (low-experience users).
Design/methodology/approach
A research model was developed to examine the influences of three technology affordances: interactivity, information and navigation on user satisfaction and SNS stickiness. Totally 266 data were collected from a famous college in China using an online survey, and structural equation modeling technique was used to examine the proposed research model.
Findings
The empirical research findings indicated that the three technology affordance attributes exhibited different degrees of influence on user satisfaction, which in turn facilitated SNS stickiness. Particularly, high-experience users were more likely influenced by interactivity and information affordances, while low-experience users are more susceptible to navigation affordance.
Practical implications
This study can provide guidelines to the platform administrators to design SNSs from the aspects of interactivity, information and navigation attributes and pay attention to the preference differences between high-experience users and low-experience users.
Originality/value
This study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordance attributes and satisfaction.
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Zhiguang Cheng, Norio Takahashi, Behzad Forghani, Lanrong Liu, Yana Fan, Tao Liu, Qifan Hu, Sheng Gao, Junjie Zhang and Xiaoyan Wang
The purpose of the paper is to give a review of TEAM Problem 21, focus on its extended progress in engineering-oriented developments, and report the new benchmarking activity…
Abstract
Purpose
The purpose of the paper is to give a review of TEAM Problem 21, focus on its extended progress in engineering-oriented developments, and report the new benchmarking activity undertaken by the authors.
Design/methodology/approach
Testing electromagnetic analysis methods; verify computation models; detail the field behavior of typical magnetic structure; benefit to large-scale numerical modeling.
Findings
The calculated results of power loss and magnetic flux for all the member models agree well with the measured ones. The updated Problem 21 Family can now be used to model the saturation effect in the magnetic plate or the lamination by increasing the exciting currents. The new member model P21d-M allows further detailed examination of the electromagnetic behavior inside laminated sheets. The variation of both the iron loss and the magnetic flux with the excitation patterns and magnetic property data can be investigated inside the laminated sheets and the magnetic plate.
Originality/value
In order to model the possible saturation level of magnetic steel using Ar-V-Ar or T-Ω solvers, the exciting currents are increased from 10 to 50 A. In order to model the iron loss and magnetic flux densities inside the laminated sheets, a very simplified model, P21d-M of Problem 21 Family as shown in Figure 2, has been proposed.
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Zhiguang Cheng, Behzad Forghani, Zhenbin Du, Lanrong Liu, Yongjian Li, Xiaojun Zhao, Tao Liu, Linfeng Cai, Weiming Zhang, Meilin Lu, Yakun Tian and Yating Li
This paper aims to propose and establish a set of new benchmark models to investigate and confidently validate the modeling and prediction of total stray-field loss inside…
Abstract
Purpose
This paper aims to propose and establish a set of new benchmark models to investigate and confidently validate the modeling and prediction of total stray-field loss inside magnetic and non-magnetic components under harmonics-direct current (HDC) hybrid excitations. As a new member-set (P21e) of the testing electromagnetic analysis methods Problem 21 Family, the focus is on efficient analysis methods and accurate material property modeling under complex excitations.
Design/methodology/approach
This P21e-based benchmarking covers the design of new benchmark models with magnetic flux compensation, the establishment of a new benchmark measurement system with HDC hybrid excitation, the formulation of the testing program (such as defined Cases I–V) and the measurement and prediction of material properties under HDC hybrid excitations, to test electromagnetic analysis methods and finite element (FE) computation models and investigate the electromagnetic behavior of typical magnetic and electromagnetic shields in electrical equipment.
Findings
The updated Problem 21 Family (V.2021) can now be used to investigate and validate the total power loss and the different shielding performance of magnetic and electromagnetic shields under various HDC hybrid excitations, including the different spatial distributions of the same excitation parameters. The new member-set (P21e) with magnetic flux compensation can experimentally determine the total power loss inside the load-component, which helps to validate the numerical modeling and simulation with confidence. The additional iron loss inside the laminated sheets caused by the magnetic flux normal to the laminations must be correctly modeled and predicted during the design and analysis. It is also observed that the magnetic properties (B27R090) measured in the rolling and transverse directions with different direct current (DC) biasing magnetic field are quite different from each other.
Research limitations/implications
The future benchmarking target is to study the effects of stronger HDC hybrid excitations on the internal loss behavior and the microstructure of magnetic load components.
Originality/value
This paper proposes a new extension of Problem 21 Family (1993–2021) with the upgraded excitation, involving multi-harmonics and DC bias. The alternating current (AC) and DC excitation can be applied at the two sides of the model’s load-component to avoid the adverse impact on the AC and DC power supply and investigate the effect of different AC and DC hybrid patterns on the total loss inside the load-component. The overall effectiveness of numerical modeling and simulation is highlighted and achieved via combining the efficient electromagnetic analysis methods and solvers, the reliable material property modeling and prediction under complex excitations and the precise FE computation model using partition processing. The outcome of this project will be beneficial to large-scale and high-performance numerical modeling.
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Keywords
- New member-set
- TEAM Problem 21 Family
- Overall effectiveness
- Harmonics-DC hybrid excitation
- Magnetic flux compensation
- Load-component
- Shielding
- Stray-field loss
- Additional loss
- Material property under complex excitations
- Electromagnetic fields
- Numerical analysis
- Power losses
- Transient analysis
- Material modeling
- Computational electromagnetics
Kong Qingyi, Zhiguang Cheng, Xiaoyan Wang, Yana Fan, Lanrong Liu, Tao Liu and Jing Guo
The purpose of this paper is to investigate the effects of the related factors on the mean path length of the Epstein frame and propose a weighted method based on the different…
Abstract
Purpose
The purpose of this paper is to investigate the effects of the related factors on the mean path length of the Epstein frame and propose a weighted method based on the different specific losses to decide the actual mean path length of the Epstein frame.
Design/methodology/approach
Two Epstein frames of different dimensions (i.e. standard 25 cm and revised 17.5 cm Epstein frame) are used in experiments, and two kinds of the mean path lengths, lm1 and lm2, are defined based on the different specific iron losses produced at the middle part of the limb and the rest of the whole frame, respectively.
Findings
The mean magnetic path varies with many factors such as peak flux density, excitation frequency, permeability as well as the anisotropy of the material under test.
Originality/value
The results play an important role in designing the transformer core and the building factor.
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This study investigates the motivations and consequences of classification shifting from cost of sales to research and development (R&D) in high-technology industries.
Abstract
Purpose
This study investigates the motivations and consequences of classification shifting from cost of sales to research and development (R&D) in high-technology industries.
Design/methodology/approach
This study conducts a multivariate analysis using logistic and ordinary least squares regression methods on panel data of high-technology firms for the period 1988–2012 to examine the effect of R&D classification shifting on gross margin benchmarks and future performance.
Findings
The results show that R&D classification shifting increases the likelihood of meeting or beating gross margin benchmarks. They also show that firms engaged in R&D classification shifting exhibit lower future R&D productivity, stock returns, and operating performance. The findings indicate that the short-term benefits of achieving gross margin benchmarks are offset by the long-term negative impact of R&D misclassification.
Practical implications
This paper provides insights that can help regulators develop clearer guidelines for the appropriate classification of R&D costs.
Originality/value
Moving beyond the core earnings management paradigm, this study demonstrates the use of R&D classification shifting as a tool to manipulate gross profits and R&D in high-technology industries. Most prior studies focused on the determinants of R&D classification shifting, while few investigated the impact of the practice. The findings in this study provide initial evidence of the consequences of R&D classification shifting for future R&D productivity and firm performance in high-tech industries. Using five methods, this study also validates R&D classification shifting and addresses the alternative explanation of R&D overinvestment.