Camelia May Li Kusumo, Hema Letchamanan, Sze-ee Lee and Liang Jun Gooi
Aligned with the United Nations 2030 agenda of leaving no one behind, a project called The Nest was initiated to create an in-house intentional learning space at two public…
Abstract
Purpose
Aligned with the United Nations 2030 agenda of leaving no one behind, a project called The Nest was initiated to create an in-house intentional learning space at two public housings in Klang Valley. In a small unit of public housing, most children in these houses sit on the floor in the living room to do their schoolwork or study with the TV switched on. Poor indoor environmental quality and lack of personal space are among the main reasons that lead to children not being able to study at home comfortably.
Design/methodology/approach
The research employed a quasi-experimental approach as the research field setting was not randomly assigned. Observation on the change in the quality of space and post-evaluation interviews with beneficiaries were conducted.
Findings
The findings show that besides the tangible space that the Nest project has created, it also has created in-tangible space. It has shown that even small spatial changes to existing spaces could improve children's active learning and the participation of parents in their children's learning.
Research limitations/implications
This study focuses on the home learning experience and parental involvement in their children's learning, so perhaps future research can be done to measure the impact of home learning space on academic achievement.
Practical implications
The research outcomes show that a good quality of learning space influences the children's learning experience at home and the parents' involvement. It will also contribute to the development of the building regulation for high-rise affordable housing in Malaysia. Particularly in improving the optimum requirement to achieve better comfort quality for the learning space at the residential unit.
Social implications
The Nest project will contribute to raising the awareness among all residents of public housing on the importance of in-house learning space and encourage them to build their own learning spaces through the Do-It-Yourself Guidelines.
Originality/value
The research outcomes show that both parental involvement and the quality of learning space influence the children's learning experience at home. It will contribute to the development of the building regulation for high-rise affordable housing in Malaysia. Particularly in improving the optimum requirement to achieve better comfort quality for the learning space at the residential unit.
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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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Yuqing Wu, Jizhong Shen, Jun Liang and Maoqun Yao
The design method of high-resolution capacitor arrays was proposed to improve the precision of successive approximation register (SAR) analog-to-digital converters (ADCs) without…
Abstract
Purpose
The design method of high-resolution capacitor arrays was proposed to improve the precision of successive approximation register (SAR) analog-to-digital converters (ADCs) without calibration and optimize the circuit area.
Design/methodology/approach
According to calculation of equivalent series capacitors and change of voltage at the comparator input node, two three-stage structures of capacitor arrays and a general design flow of the multi-stage capacitor arrays were presented. Non-ideal factors on the capacitor arrays were analyzed, and the applications of the two structures were explained based on the capacitor mismatch.
Findings
A multi-stage capacitor array for 16-bit SAR ADCs was implemented. The simulation result shows that its nonlinear error was less than 0.3LSB with no gain error and the sampling capacitance accounted for 92.42% of the total capacitance. Effects of capacitive parasitic and mismatch on capacitor arrays were confirmed.
Originality/value
The proposed method focused on capacitor arrays design of high-resolution SAR ADCs. It effectively reduced nonlinear errors, improved SNR and optimized the area of SAR ADCs. The design method was suitable for SAR ADCs with different resolutions to improve their precision.
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Na Fan, Liqiang Chai, Peng Wang and Jun Liang
This paper aims to study the tribocorrosion behavior of 304 stainless steel (SS) sliding against SiC and Si3N4 counterparts in artificial seawater.
Abstract
Purpose
This paper aims to study the tribocorrosion behavior of 304 stainless steel (SS) sliding against SiC and Si3N4 counterparts in artificial seawater.
Design/methodology/approach
The tribocorrosion behavior of 304SS sliding against SiC and Si3N4 balls in artificial seawater has been investigated. The tests were conducted using a ball-on-disk rig equipped with an electrochemical workstation. The friction coefficient, surface morphology, wear volume and current density were determined.
Findings
When 304SS sliding against SiC ball, a smooth surface with a silica layer was formed on the top, which led to the low friction coefficient, current density and small wear volume. For 304SS-Si3N4 tribo-pair, a lot of metal debris was scattered on contact surfaces leading to high friction coefficient, current density and big wear volume.
Research limitations/implications
This research suggests that the lubrication effect of silicon-based ceramics is related to counterpart specimen in artificial seawater.
Practical implications
The results may help us to choose the appropriate ceramic ball under seawater environment.
Originality/value
The main originality of the work is to reveal the tribocorrosion behavior of 304SS sliding against SiC and Si3N4 balls, which help us to realize that the Si3N4 ball as water-lubricated ceramics could not exhibit lubrication effect when coupled with 304SS in artificial seawater.
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Li Xi‐can, Yu Tao, Wang Xiao, Yuan Zheng and Shang Xiao‐dong
The purpose of this paper is to establish the grey‐weighted relationship prediction pattern of the soil organic matter content spectral inversion under the uncertainties between…
Abstract
Purpose
The purpose of this paper is to establish the grey‐weighted relationship prediction pattern of the soil organic matter content spectral inversion under the uncertainties between soil organic matter contents and spectral characteristics and the theory of grey system.
Design/methodology/approach
At first, according to grey‐weighted distance, a new grey relationship model is presented. Second, in order to make full use of the information of grey relationship sequences, the maximum grey relationship discrimination principle is improved and then the soil organic matter content spectral inversion pattern is put forward based on weighted grey recognition theory. A numeric example of Hengshan County in Shanxi Province is also computed in the last part of the paper.
Findings
The results are convincing: not only that soil organic matter content spectral inversion pattern based on the weighted grey recognition theory is valid, but also the model's prediction accuracy is higher; the sample's average prediction accuracy is 94.917 per cent.
Practical implications
The method exposed in the paper can be used at soil organic matter content hyper‐spectral inversion and even for other similar forecast problems.
Originality/value
The paper succeeds in realising both prediction pattern and application of soil organic matter content hyper‐spectral inversion by using the newest developed theories: weighted grey recognition theory.
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Jun Shi and Ning Liang
Petroleum resource-based city is an important part of urban system in China. Under the background of green growth and economic transition, petroleum resource-based city is facing…
Abstract
Petroleum resource-based city is an important part of urban system in China. Under the background of green growth and economic transition, petroleum resource-based city is facing the problem of sustainable development. This paper takes petroleum resources-based cities in China as the research object, and uses urban ecological planning method to analyze the basic methods of petroleum resources-based urban ecological planning and development from three aspects: establishing multi-level city circle layer, building urban ecotope and promoting urban renewal. The results show that green growth and economic transition of petroleum resources cities in China depend on government planning for urban development, including statutory planning and non-statutory planning. Petroleum resources-based cities should promote the ecological planning and development of petroleum resources-based cities in China from three aspects: optimizing the industrial structure of cities, optimizing the layout of urban functional areas and optimizing the layout of urban ecolandscape in order to adapt to green growth and economic transition.
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Zhihong Li, Jun Li, Dong Liang and Tenpao Lee
The paper aims to develop a framework to facilitate the evaluation of the complexities of working in multi-level governance and partnership and to assess the extent to which…
Abstract
Purpose
The paper aims to develop a framework to facilitate the evaluation of the complexities of working in multi-level governance and partnership and to assess the extent to which collaboration adds value in terms of both process and outcomes.
Design/methodology/approach
The paper applies the fuzzy analysis hierarchy process (FAHP) to the design of an evaluation framework for partnerships and uses data from a questionnaire survey in Wuhan, China, to validate the framework.
Findings
The paper finds that the effectiveness of multi-level governance and partnerships is primarily determined by such factors as clarity of framework for partnership, consensus on mission statement of strategic partnership, mechanisms for joint initiation and implementation of projects and removal of barriers to flow of resources.
Practical implications
The paper shows that policymakers need to adopt an evaluation approach to improve the effectiveness of multi-level governance and partnerships.
Originality/value
The paper provides a framework for building multi-level governance and partnerships in the Chinese context.
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Chun-Liang Chen, Yao-Chin Lin, Wei-Hung Chen and Xin-Si Heng
The purpose of this paper is to prove the importance of both cluster leadership and identification on cluster innovation.
Abstract
Purpose
The purpose of this paper is to prove the importance of both cluster leadership and identification on cluster innovation.
Design/methodology/approach
The case studies presented in this study involve a cluster by micro-enterprises in Yilan, Taiwan. Data collected during interviews, observations and secondary data provide understanding and practices for the impact of cluster identification on cluster innovation.
Findings
This study proved: first, the importance of cluster identification on innovation by representing the need of consensus and collaboration of the members in conducting innovation actions; and second, the cluster identification is influenced by the cluster leadership by showing high satisfaction of the leader, close interaction between the members and high identification with the cluster.
Research limitations/implications
This study predicts the ongoing cluster innovation activities will be achieved due to the transformational leadership and high cluster identification.
Originality/value
This study enriches the factors of cluster innovation accomplishment and proposes the important of cluster identification, which has not been discussed much in the past.
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Yi-An Chen and Chun Liang Chen
The purpose of this study is to explore how creative-cultural hotels can achieve sustainable service design through the development of a holistic conceptual framework.
Abstract
Purpose
The purpose of this study is to explore how creative-cultural hotels can achieve sustainable service design through the development of a holistic conceptual framework.
Design/methodology/approach
The authors created this framework using a qualitative exploratory multi-case study of four creative-cultural hotels in Taiwan. The framework comprises strategic, organizational and interface levels to describe the design process and implementation of service offerings that co-create value within a multifaceted network of actors.
Findings
The findings of this study show that incorporating local arts and culture into sustainable service design can generate unique value and experiences for customers. From the perspective of sustainable development, these hotels seek to add value by using local creative and cultural resources to ensure that they have a sound commercial base from which to showcase their cultural features. As such, this study recommends that the hotel industry shift its focus to a paradigm that provides a strategic and sustainability-framed vision to create value for society while protecting local natural and cultural resources.
Originality/value
This multilevel model reframes the development of customer value constellations through a holistic understanding of user experience, eco-design practice, service encounters aligned with user touchpoints and front-line employee capabilities. To integrate the perspectives of both service providers and their customers, the proposed model embeds these stakeholders within a single model through the vehicle of local value co-creation. This holistic framework can assist in designing sustainable service within the hospitality industry to deliver better services and customer experiences. The findings provide an illustration of how the proposed multilevel sustainable-development-oriented service design framework can serve as a useful tool in guiding hotels toward corporate sustainability.
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The aim of this paper is to explore how small and medium enterprises (SMEs) in Taiwan employ technology to participate in global supply chains so as to respond to the Fourth…
Abstract
Purpose
The aim of this paper is to explore how small and medium enterprises (SMEs) in Taiwan employ technology to participate in global supply chains so as to respond to the Fourth Industrial Revolution.
Design/methodology/approach
This study chose four small to medium textile SMEs using qualitative exploratory multiple case studies to examine their participation in the global value chain (GVC) and under the context of Industry 4.0.
Findings
This study proffered a strategic model for the innovative integration of textile manufacturing companies and cultural content industry into the global market. The results identified four types of cross-disciplinary value creation strategies by Industry 4.0-driven technology and cultural content infusion: enhancing digital product display capabilities, integrating cultural content design and online marketing, creative brand marketing with cyber-physical channel integration and emotional marketing incorporated with smart services.
Originality/value
The author proposed the following cross-disciplinary value creation strategies for clothing SMEs in Taiwan: (1) enhancing digital product display capabilities, (2) integrating cultural content design and online marketing, (3) creative brand marketing with cyber-physical integration and (4) emotional marketing incorporated with smart services. Using these strategies, SMEs can incorporate cultural and lifestyle aspects into products and services and embed themselves in the global marketing links of GVCs.