Salma Habachi, Jorge Matute and Ramon Palau-Saumell
This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that…
Abstract
Purpose
This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).
Design/methodology/approach
A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.
Findings
Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.
Originality/value
This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.
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Yong Li, Yingchun Zhang, Gongnan Xie and Bengt Ake Sunden
This paper aims to comprehensively clarify the research status of thermal transport of supercritical aviation kerosene, with particular interests in the effect of cracking on heat…
Abstract
Purpose
This paper aims to comprehensively clarify the research status of thermal transport of supercritical aviation kerosene, with particular interests in the effect of cracking on heat transfer.
Design/methodology/approach
A brief review of current research on supercritical aviation kerosene is presented in views of the surrogate model of hydrocarbon fuels, chemical cracking mechanism of hydrocarbon fuels, thermo-physical properties of hydrocarbon fuels, turbulence models, flow characteristics and thermal performances, which indicates that more efforts need to be directed into these topics. Therefore, supercritical thermal transport of n-decane is then computationally investigated in the condition of thermal pyrolysis, while the ASPEN HYSYS gives the properties of n-decane and pyrolysis products. In addition, the one-step chemical cracking mechanism and SST k-ω turbulence model are applied with relatively high precision.
Findings
The existing surrogate models of aviation kerosene are limited to a specific scope of application and their thermo-physical properties deviate from the experimental data. The turbulence models used to implement numerical simulation should be studied to further improve the prediction accuracy. The thermal-induced acceleration is driven by the drastic density change, which is caused by the production of small molecules. The wall temperature of the combustion chamber can be effectively reduced by this behavior, i.e. the phenomenon of heat transfer deterioration can be attenuated or suppressed by thermal pyrolysis.
Originality/value
The issues in numerical studies of supercritical aviation kerosene are clearly revealed, and the conjugation mechanism between thermal pyrolysis and convective heat transfer is initially presented.
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The study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such…
Abstract
Purpose
The study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.
Design/methodology/approach
The fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a∼t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a∼t data, the probability model of crack growth rate is established.
Findings
The results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q•a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.
Originality/value
The probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.
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Yingfeng Zhang, Lin Zhao and Cheng Qian
The huge demand for fresh goods has stimulated lots of research on the perishable food supply chain. The characteristics of perishable food and the cross-regional transportation…
Abstract
Purpose
The huge demand for fresh goods has stimulated lots of research on the perishable food supply chain. The characteristics of perishable food and the cross-regional transportation have brought many challenges to the operation models of perishable food supply chain. The purpose of this paper is to address these challenges based on the real-time data acquired by the Internet of Things (IoT) devices.
Design/methodology/approach
IoT and the modeling of the Supply Hub in Industrial Parks were adopted in the perishable food supply chain.
Findings
A conceptual model was established for the IoT-enabled perishable food supply chain with two-echelon supply hubs. The performance of supply chain has improved when implementing the proposed model, as is demonstrated by a case study.
Originality/value
By our model, the supply hubs which act as the dominators of the supply chain can respond to the real-time information captured from the operation processes of an IoT-enabled supply chain, thus to provide public warehousing and logistic services.
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Jun Yeop Lee, Kisoon Hyun and Ling Jin
Using the Social Network Analysis(SNA) method, this paper examines inter-country relationships between countries that may be part of the New Silk Road. Based on bilateral-trade…
Abstract
Using the Social Network Analysis(SNA) method, this paper examines inter-country relationships between countries that may be part of the New Silk Road. Based on bilateral-trade data from more than 70 countries, the paper provides a more vivid understanding of overall features and effects of the New Silk Road policy. According to the results, India, Turkey, and Russia have the highest degree centrality, indicating that the success of the New Silk Road policy depends mainly on the ability of the Chinese government to incorporate these countries. Among European countries, only Germany can be successfully incorporated into the New Silk Road network. In addition, Central Asian countries such as Kazakhstan and Uzbekistan show no potential as hubs in the network. Most importantly, China has a dominant position in the New Silk Road network. China's focal and dominating status is also supported by the fact that there is no change in the clustering coefficient in the network, which implies that the Chinese government has to absorb into the system those countries that are less likely to benefit from the policy.
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Radwan Alkebsee, Ahsan Habib and Junyan Li
This paper aims to examine the association between green innovation and the cost of equity in China. This study relies on the investors’ base perspective and shareholders’…
Abstract
Purpose
This paper aims to examine the association between green innovation and the cost of equity in China. This study relies on the investors’ base perspective and shareholders’ perceived risk perspective to investigate the relation between green innovation and the cost of equity in China.
Design/methodology/approach
The paper uses firm-fixed effect regression for a sample of Chinese public companies for the period 2008–2018.
Findings
The authors find a negative relationship between green innovation and the cost of equity capital. This negative association is found to be more pronounced for less financially constrained firms, during periods of high economic policy uncertainty, and for firms with a strong internal control environment. Finally, the paper shows that the negative association became more pronounced after the passage of the Environmental Protection Law of China in 2012. The results remain robust to possible endogeneity concerns.
Originality/value
This study contributes to the green innovation literature by documenting that shareholders favorably view firms implementing green innovation policies. The study also has policy implications for Chinese regulators in improving the green credit policy.
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Jing Bai, Le Fan, Shuyang Zhang, Zengcui Wang and Xiansheng Qin
Both geometric and non-geometric parameters have noticeable influence on the absolute positional accuracy of 6-dof articulated industrial robot. This paper aims to enhance it and…
Abstract
Purpose
Both geometric and non-geometric parameters have noticeable influence on the absolute positional accuracy of 6-dof articulated industrial robot. This paper aims to enhance it and improve the applicability in the field of flexible assembling processing and parts fabrication by developing a more practical parameter identification model.
Design/methodology/approach
The model is developed by considering both geometric parameters and joint stiffness; geometric parameters contain 27 parameters and the parallelism problem between axes 2 and 3 is involved by introducing a new parameter. The joint stiffness, as the non-geometric parameter considered in this paper, is considered by regarding the industrial robot as a rigid linkage and flexible joint model and adds six parameters. The model is formulated as the form of error via linearization.
Findings
The performance of the proposed model is validated by an experiment which is developed on KUKA KR500-3 robot. An experiment is implemented by measuring 20 positions in the work space of this robot, obtaining least-square solution of measured positions by the software MATLAB and comparing the result with the solution without considering joint stiffness. It illustrates that the identification model considering both joint stiffness and geometric parameters can modify the theoretical position of robots more accurately, where the error is within 0.5 mm in this case, and the volatility is also reduced.
Originality/value
A new parameter identification model is proposed and verified. According to the experimental result, the absolute positional accuracy can be remarkably enhanced and the stability of the results can be improved, which provide more accurate parameter identification for calibration and further application.
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Since the core issue of Chinese economics is to elucidate the logical relationship between socialism and the market economy, it necessitates a robust foundation for microeconomic…
Abstract
Purpose
Since the core issue of Chinese economics is to elucidate the logical relationship between socialism and the market economy, it necessitates a robust foundation for microeconomic analysis to uncover the behavioral patterns and characteristics of microeconomic agents in a socialist market economy and identify the conditions and methods for the functioning of market mechanisms.
Design/methodology/approach
The core issue of microeconomics with Chinese characteristics is to identify the economic logic of how market mechanisms play a decisive role in resource allocation under the basic socialist economic system based on China's reform.
Findings
The core issue in building the foundation of microeconomic analysis of Chinese economics is addressing the compatibility issue between SOEs and a market economy.
Originality/value
In the author’s view, this can be achieved under the logic of classified reform so as to build the microeconomic foundation for the effective functioning of a socialist market economy.
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The spread of COVID-19 is not just a health crisis. The pandemic has taken a geopolitical dimension. The health crisis amplified the competitive dynamics between the USA and…
Abstract
Purpose
The spread of COVID-19 is not just a health crisis. The pandemic has taken a geopolitical dimension. The health crisis amplified the competitive dynamics between the USA and China, affected the provision of global public goods and injected instability into the global order. In line with the geopolitical zero-sum thinking, both the USA and China have sought to capitalize on the crisis to boost their international profile. Instead of working together to mitigate the health and economic impacts of COVID-19, the two powers fear that the other will exploit the current situation to accrue political, economic or military gains that will give it an edge after the pandemic subsides. The spread of COVID-19 has set off a “battle of narratives,” in which China and the USA are accusing each other of failing to rise to the challenge. The world seems to be falling into a “Kindleberger Trap,” in which the established power is unable to lead while the rising power is unwilling to assume responsibility. The COVID-19 crisis is occurring amid the collapse of global cooperation. The USA, the traditional leader of international collective efforts in times of crisis, has abandoned its role entirely. The lack of leadership at the global level during an international crisis may cause the breakdown of the international order.
Design/methodology/approach
This paper examines the US-China competitive dynamics through the lens of the work of Charles Kindleberger, which both liberals and realists regard as foundational when examining the dynamics of global crisis management. This paper also uses the meta-geopolitics framework to determine the ability of both China and the USA to respond to the current COVID-19 crisis and its implications for their power and standing in the international system.
Findings
This paper concludes that the only way to escape the Kindleberger trap is “to embed Sino-American relations in multilateralism.”
Originality/value
As rivals, both the USA and China are seeking to capitalize on the crisis to boost their international profile. This paper probes how China and the USA navigated the ongoing COVID-19 crisis to determine whether or not they are currently in a “Kindleberger Trap,” using elements of the meta-geopolitics framework of analysis, namely, health issues, domestic politics, economics, science and international diplomacy. Using the meta-geopolitics framework will help us determine the ability of both China and the USA to respond to the current COVID-19 crisis and the implications of that on their power and standing in the international system.