Xin Chen, Xiaoyu Zheng, Meiling He, Yuling Liu, Hong Mao, Xiwu Li, Hongwei Yan, Yi Kong, Liya Li and Yong Du
During the forming process, aluminum alloy sheets develop various types of textures and are subjected to cyclic loading as structural components, resulting in fatigue damage. This…
Abstract
Purpose
During the forming process, aluminum alloy sheets develop various types of textures and are subjected to cyclic loading as structural components, resulting in fatigue damage. This study aims to develop polycrystalline models with different orientation distributions and incorporate suitable fatigue indicator parameters to investigate the effect of orientation distribution on the mechanical properties of Al-7.02Mg-1.78Zn alloys under cyclic loading.
Design/methodology/approach
In this study, a two-dimensional polycrystalline model with 150 equiaxed grains was constructed based on optical microscope images. Subsequently, six different orientation distributions were assigned to this model. The fatigue indicator parameter of strain energy dissipation is utilized to analyze the stress response and fatigue crack driving force in polycrystalline models with different orientation distributions subjected to cyclic loading.
Findings
The study found that orientation distribution significantly influences fatigue crack initiation. Orientation distributions with a larger average Schmid factor exhibit reduced stress response and lower fatigue indicator parameters. Locations with a larger average Schmid factor experience greater plastic deformation and present a higher risk for fatigue crack initiation. RVE with a single orientation undergoes more rotation to reach cyclic steady state under cyclic loading due to the ease of deformation transfer.
Originality/value
Currently, there are no reports in the literature on the calculation of fatigue crack initiation for Al-Mg-Zn alloys using the crystal plasticity finite element method. This study presents a novel strategy for simulating the response of Al-7.02Mg-1.78Zn materials with different orientation distributions under symmetric strain cyclic loading, providing valuable references for future research.
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This study investigates the direct influence of ambidextrous leadership on employees’ innovation behaviour, the mediating role of innovative self-efficacy and harmonious work…
Abstract
Purpose
This study investigates the direct influence of ambidextrous leadership on employees’ innovation behaviour, the mediating role of innovative self-efficacy and harmonious work passion, and the moderating role of Zhong-Yong thinking.
Design/methodology/approach
The authors conducted a series of questionnaire surveys to collect data in three time periods and from multiple sources; 332 supervisor–subordinate matched samples were obtained. The hypothesised relationships were tested using structural equation modelling and ProClin.
Findings
Ambidextrous leadership is positively associated with employees’ innovation behaviour, while innovative self-efficacy and harmonious work passion play mediating roles. The analysis further confirms that innovative self-efficacy and harmonious work passion play a chained double-mediating role between ambidextrous leadership and employees’ innovation behaviour, while Zhong-Yong thinking plays moderating roles between ambidextrous leadership and innovative self-efficacy and between ambidextrous leadership and harmonious work passion.
Originality/value
This study demonstrates the influence of ambidextrous leadership on employees’ innovation behaviour, specifically the role of ambidextrous leadership, and extends the relationship’s theoretical foundation. It is also expected to provide inspiration and serve as a reference for local Chinese management.
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Du Yong and Li Guo-qiang
Calculation methods have been developed for application to advanced fire-resistance design. The loading-bearing capacity method involves the performance of a structural analysis…
Abstract
Calculation methods have been developed for application to advanced fire-resistance design. The loading-bearing capacity method involves the performance of a structural analysis for a fire situation using the computer-based finite element method, and checks the loading-bearing capacity of the structure in a fire ultimate limit state. There is a case of a steel roof grid structure fire-resistant assessment to illustrate the basic steps in the loading-bearing capacity method for structural fire safety design. A detailed finite element analysis of a space truss with a credible design fire was carried out to determine the deflections and forces in the space truss, and checked by the fire ultimate limit state. The present data and analysis demonstrate that the loading-bearing capacity method is sufficient for fire safety design.
Despite the importance of hosts who contribute to the success of accommodation sharing through sharing underutilized space with guests, current literature sheds little light on…
Abstract
Purpose
Despite the importance of hosts who contribute to the success of accommodation sharing through sharing underutilized space with guests, current literature sheds little light on what exactly incentivizes hosts to grow their properties. The purpose of this study is to investigate the effects of multifaceted motivations including financial benefits, online social interaction and membership seniority and their interplay on hosts’ multiple listing behavior.
Design/methodology/approach
The study is instantiated on real-world business data collected from an accommodation-sharing platform in China. The data set includes 3,199 observations of 252 multi-listing hosts in Beijing who managed 815 properties from September 2012 to October 2016.
Findings
The study discloses that financial benefits, online social interaction and membership seniority significantly incentivize hosts to list multiple properties on the accommodation-sharing platform. In particular, the social incentive is the most important driver among the three. With a 1 per cent increase in online social interactions, the number of properties operated by a host would increase by 13.5 per cent. While the financial benefits and online social interaction motivate hosts to engage in the multi-listing behavior, such effects are significantly mitigated as the membership seniority increases.
Research limitations/implications
This study adds to the extant literature a unique yet less researched perspective of supply expansion driven by hosts. It also provides important practical implications for managing multiple properties for a healthy and viable accommodation-sharing community.
Originality/value
While a majority of the extant research on the sharing economy primarily takes a consumer-related perspective, this study addresses a different and original topic about hosts’ multiple-listing behavior that drives the supply of accommodation sharing. It is a first empirical investigation of the increase of accommodation sharing supply with host motivations explained.
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By using ethnographic data and family interviews from eight families in Taipei, Taiwan, this paper aims to delineate how multigenerational families implement parents’…
Abstract
By using ethnographic data and family interviews from eight families in Taipei, Taiwan, this paper aims to delineate how multigenerational families implement parents’ child-rearing values, and how these strategies vary by social class. The primary focus is the child’s mother and her relationship with other family members. I ask the following question: How does a mother in a three-generation family implement her ideal parenting values for her child while being encumbered by the constraints of her parents-in-law? Additionally, how does this intergenerational dynamic vary with family socioeconomic status? To conceptualize this process in such a complex context, I argue that we must understand parenting behaviors as acts of “doing family” and “intensive mothering.”
From 2008 to 2009, I conducted a pilot survey in two public elementary schools to recruit the parents of sixth-grade students. All eight cases of multigenerational families in this paper were selected randomly after being clustered by the parent’s highest education level and family income levels. This paper utilized the mothers’ interviews as the major source to analyze, while the interviews of other family members served as supplementary data.
Two cases, Mrs Lee and Mrs Su’s stories, were selected here to illustrate two distinctive approaches toward childrearing in multi-generational families. Results indicate that white-collar mothers in Taiwan hold the value of concerted cultivation and usually picture the concept of intensive mothering as their ideal image of parenthood. Yet, such an ideal and more westernized child-rearing philosophy often leads to tensions at home, particularly between the mother and the mother-in-law. Meanwhile, blue-collar mothers tend to collaborate with grandparents in sharing childcare responsibilities, and oftentimes experience friction over child discipline in terms of doing homework and material consumption.
Via this analysis of three-generation families in Taiwan, we are able to witness the struggle of contemporary motherhood in East Asia. This paper foregrounds the negotiations that these mothers undertake in defining ideal parenting and the ideal family. On the one hand, these mothers must encounter the new parenting culture, given that the cultural ideal of concerted cultivation has become a popular ideology. On the other hand, by playing the role of daughter-in-law, they must negotiate within the conventional, patriarchal family norms.
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Xiaoyu Yu, Bang Nguyen and Yi Chen
The purpose of this paper is to examine the role of capability and alliance arising from the internet of things (IoT), specifically in the relationships between strategic…
Abstract
Purpose
The purpose of this paper is to examine the role of capability and alliance arising from the internet of things (IoT), specifically in the relationships between strategic orientations (entrepreneurial and market foci) with product and process innovations. In addition, it investigates the direct relationship between IoT capability and alliance. Improving these relationships assist in ensuring that new knowledge from the IoT can be translated into tangible business innovations that contribute to economic development.
Design/methodology/approach
Data from 207 new high-technology IoT ventures in China were obtained after three-wave mailing (i.e. two reminders). Following a rigorous process to purify and validate the measurement scale items, the study used structural equation modeling to test the conceptual model.
Findings
Findings demonstrate that an IoT capability only enhances product innovation, however, with the addition and support from IoT alliance, both product and process innovation can be achieved in new high-tech IoT ventures. This nuanced insight suggests that new high-tech IoT ventures should focus on building their IoT capability, and at the same time, develop IoT alliances with value chain partners in order to fully take advantage of IoT and gain a better position to formulate more novel offerings.
Originality/value
The study is first to contribute with a much needed framework of IoT and entrepreneurship by examining the role of IoT capability further in the relationships between: entrepreneurial orientation and market orientation with product and process innovations arising from IoT; and the role of IoT alliance (interfirm relations, partnerships, etc.) on the relationship above.
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Usama Afzal, Kanza Maryam, Fatima Afzal and Muhammad Aslam
The purpose of this study is to fabricate a highly sensitive humidity sensor for observing the humidity effect on a robot’s body as an application of the Internet of Things. The…
Abstract
Purpose
The purpose of this study is to fabricate a highly sensitive humidity sensor for observing the humidity effect on a robot’s body as an application of the Internet of Things. The sensor has been fabricated by depositing a thin sensing layer of nickel phthalocyanine (NiPc) between two silver electrodes.
Design/methodology/approach
The structure of the thin film was observed by X-ray diffraction, optical properties by UV Vis and surface morphology by scanning electron microscope. The capacitance and the resistance with respect to change in relative humidity from 0 to 100%RH have been measured by LCR meter at 1 kHz.
Findings
The sensor’s response time is 7.5 s and its recovery time is 3.7 s, with high sensitivity of 127,259 pF/%RH and 332.287 MΩ/%RH. The authors have also used a proposed sensor on a steel body and observed humidity values. The analysis of all measured values was performed through the classical and neutrosophic approaches. By comparing, the authors have observed that the neutrosophic approach is more efficient in analyzing the sensor data.
Originality/value
In this work, the authors will fabricate a capacitive and resistive-type humidity sensor using the thin film of NiPc. The structural, optical and morphological properties of NiPc thin film will be investigated with different characterization techniques. The electric properties, i.e. capacitance and resistance, will be measured at intervals with an LCR meter by changing relative humidity (%RH). Moreover, the measured data will be analyzed through different statistical approaches, as already used in [12].
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Chuanming Ju, J. Zhang, Yong Zhang, Xianfeng Du, Zheng Yuan and Tangying Liu
The purpose of this paper is to present an algorithm for determining the inner and outer loops of arbitrary parametric surfaces.
Abstract
Purpose
The purpose of this paper is to present an algorithm for determining the inner and outer loops of arbitrary parametric surfaces.
Design/methodology/approach
The algorithm considers two sub-algorithms: one for non-closed surfaces and another one for closed surfaces. The first sub-algorithm named by area positive and negative method (APNM), combines a curve discretization algorithm with the polygon direction judgment algorithm to judge the inner and outer loops of non-closed surfaces. The second sub-algorithm, called by cross-period number method (CPNM), combines a curve discretization algorithm with the periodicity of closed surfaces to judge the type of boundary loops.
Findings
The APNM can use less CPU time to determining the inner and outer loops of the non-closed parametric surfaces. The CPNM can also determine the inner and outer loops of closed parametric surfaces effectively. The judgment results of loops can ensure that the direction of meshes generated on these surfaces is right. And finally ensure the correctness of the numerical simulation results.
Originality/value
Several numerical examples presented have verified the robustness and efficiency of the proposed algorithm. Compared with the conventional algorithm, the more complex the model, the more time the APNM saves in the process of determining the inner and outer loops for non-closed surfaces. The CPNM is also a new method to determining the inner and outer loops for closed parametric surfaces. The single run-time of CPNM is very small and can reach the level of microseconds.
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Yong Liu, Jun-liang Du, Ren-Shi Zhang and Jeffrey Yi-Lin Forrest
This paper aims to establish a novel three-way decisions-based grey incidence analysis clustering approach and exploit it to extract information and rules implied in panel data.
Abstract
Purpose
This paper aims to establish a novel three-way decisions-based grey incidence analysis clustering approach and exploit it to extract information and rules implied in panel data.
Design/methodology/approach
Because of taking on the spatiotemporal characteristics, panel data can well-describe and depict the systematic and dynamic of the decision objects. However, it is difficult for traditional panel data analysis methods to efficiently extract information and rules implied in panel data. To effectively deal with panel data clustering problem, according to the spatiotemporal characteristics of panel data, from the three dimensions of absolute amount level, increasing amount level and volatility level, the authors define the conception of the comprehensive distance between decision objects, and then construct a novel grey incidence analysis clustering approach for panel data and study its computing mechanism of threshold value by exploiting the thought and method of three-way decisions; finally, the authors take a case of the clustering problems on the regional high-tech industrialization in China to illustrate the validity and rationality of the proposed model.
Findings
The results show that the proposed model can objectively determine the threshold value of clustering and achieve the extraction of information and rules inherent in the data panel.
Practical implications
The novel model proposed in the paper can well-describe and resolve panel data clustering problem and efficiently extract information and rules implied in panel data.
Originality/value
The proposed model can deal with panel data clustering problem and realize the extraction of information and rules inherent in the data panel.
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Junliang Du, Sifeng Liu and Yong Liu
The purpose of this paper is to advance a novel grey variable dual precision rough set model for grey concept.
Abstract
Purpose
The purpose of this paper is to advance a novel grey variable dual precision rough set model for grey concept.
Design/methodology/approach
To obtain the approximation of a grey object, the authors first define the concepts of grey rough membership degree and grey degree of approximation on the basic thinking logic of variable precision rough set. Based on grey rough membership degree and grey degree of approximation, the authors proposed a grey variable dual precision rough set model. It uses a clear knowledge concept to approximate a grey concept, and the output result is also a clear concept.
Findings
The result demonstrates that the proposed model may be closer to the actual decision-making situation, can effectively improve the rationality and scientificity of the approximation and reduce the risk of decision-making. It can effectively achieve the whitenization of grey objects. The model can be degenerated to traditional variable precision rough fuzzy set model, variable precision rough set model and classic Pawlak rough set, when some specific conditions are met.
Practical implications
The method exposed in the paper can be used to solve multi-criteria decision problems with grey decision objects and provide a decision rule. It can also help us better realize knowledge discovery and attribute reduction. It can effectively achieve the whitenization of grey object.
Originality/value
This method proposed in this paper implements a rough approximation of grey decision object and obtains low-risk probabilistic decision rule. It can effectively achieve a certain degree of whitenization of some grey objects.