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Article
Publication date: 27 July 2020

Fusheng Xie, Ling Gao and Peiyu Xie

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and…

Abstract

Purpose

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and export-based growth model drove China's high-speed economic growth between 2000 and 2007, which came into existence around 2000 when China plugged into the global production network.

Design/methodology/approach

This paper also finds that China slowed down to the New Normal because of the disruption to the socio-economic underpinnings of this growth model. As China adapts to and steers the New Normal, supply-side structural reforms can channel excess capacity to the construction of underground pipe networks in rural areas of central China and fix capital while advance rural revitalization.

Findings

At the same time, enterprises must strive to build a key component development platform for key component innovation and the standard-setting power in global manufacturing.

Originality/value

The establishment of a domestic production network integrating the integrated innovation-driven core enterprises and modular producers at different levels can satisfy the dynamic demand structure of China in which standardized demands and personalized demands coexist.

Details

China Political Economy, vol. 3 no. 1
Type: Research Article
ISSN: 2516-1652

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Article
Publication date: 18 September 2009

Ling Gao, Marjorie J.T. Norton, Zhi‐ming Zhang and Chester Kin‐man To

The purpose of this paper is to investigate market segmentation of affluent Chinese consumers and develop profiles of identified segments for potential target markets for…

Abstract

Purpose

The purpose of this paper is to investigate market segmentation of affluent Chinese consumers and develop profiles of identified segments for potential target markets for luxury fashion goods.

Design/methodology/approach

The data are from the 2006 edition of an annual survey called the “China's New Rich Study”. The respondents form a representative sample of affluent consumers, 18 to 45 years old, residing in China's 12 largest cities. A psychographic segmentation approach is employed to classify these consumers.

Findings

Five distinct market segments of affluent Chinese consumers are identified and profiled. Of these segments, three seem the most promising target markets for luxury fashion goods.

Practical implications

When companies understand the similarities and differences between consumer segments as well as the unique characteristics of segments, they have a meaningful basis for selecting receptive target markets and formulating and implementing effective marketing strategies. The findings of this study can be useful not only to companies that offer luxury fashion goods, but also to those targeting the upscale market with a plethora of products and services like yachts, luxury cars, high‐end electronics, resort vacations, and credit cards and other financial services.

Originality/value

This is the first study on segmentation of Chinese consumers for potential target markets for luxury fashion goods. Results reveal heterogeneity among affluent urban Chinese consumers. Strategies for marketing luxury fashion goods to promising target markets in China are outlined on the basis of segment profiles and culturally based motivations for purchasing such goods.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 13 no. 4
Type: Research Article
ISSN: 1361-2026

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Article
Publication date: 20 February 2007

Tianrui Li and Da Ruan

Much research on knowledge discovery in database (KDD) merely pays attention to data mining, one of many interacting steps in the process of discovering previously unknown…

Abstract

Purpose

Much research on knowledge discovery in database (KDD) merely pays attention to data mining, one of many interacting steps in the process of discovering previously unknown and potentially interesting patterns in large databases, but little to the whole process. However, such approaches cannot satisfy the need of real applications of KDD. The purpose of this work is to extend a process model of KDD in practice at large.

Design/methodology/approach

A new model based on research experiences of the knowledge discovery process is formalized as an extension of the model by Fayyad et al. A case study by a reduct method from rough set theory is to illustrate why the process model is proposed and in what situation it can be used in practice.

Findings

This model incorporates data collection in the KDD process to supply a sound framework to better support KDD applications.

Research limitations/implications

This model reflects the native of KDD in some tested cases. It may need further research to be used in all other situations.

Practical implications

It can be used in the area of information security, medical treatment and other information management.

Originality/value

Using this model, one can directly collect data that are essential and useful for the mining results. It also offers practical help to those KDD researchers both from industry and academia.

Details

Journal of Enterprise Information Management, vol. 20 no. 2
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 1 August 2016

Sui Pheng Low, Shang Gao and Ling Ling Grace Teo

The building sector is one of the main contributors to carbon dioxide emissions in Singapore. Over 90 per cent of life-cycle carbon emissions are due to the operations…

Abstract

Purpose

The building sector is one of the main contributors to carbon dioxide emissions in Singapore. Over 90 per cent of life-cycle carbon emissions are due to the operations phase of buildings, and 90 to 98 per cent of the building cost is associated with operation, maintenance and personnel costs. Hence, occupants have a major role in achieving environmental sustainability objectives. This study aims to understand the awareness level of potential homeowners and real estate agents concerning environmental sustainability issues in the built environment, to identify the types of green features required by potential homeowners and to understand real estate agents’ perceptions of the types of green features required by the homeowners in a green condominium.

Design/methodology/approach

The features of the Green Mark (GM)-awarded buildings, as well as the benefits derived by homeowners were identified from the literature. A survey of a group of potential homeowners and real estate agents was carried out in Singapore to analyse the gap, if any, between the potential homeowners’ needs and expectations and real estate agents’ perceptions of these needs and expectations with respect to the green features in the homes.

Findings

The results indicate that potential homeowners are more aware of environmental sustainability issues in the built environment than are real estate agents; potential homeowners seem to be more supportive of environmentally sustainable development than the real estate agents are aware of, despite the fact that the price of the apartment remains an important deciding factor; and potential homeowners are more concerned about the ease of maintaining green homes and paying greater attention to green features in the areas most heavily promoted by the government. However, green features do not constitute the main considerations of potential homeowners when making the decision to buy a green home.

Research limitations/implications

To close the gaps identified in the analysis, recommendations are suggested, including having public education and awareness campaigns to emphasize the long-term energy savings of green homes, conducting GM courses for real estate agents and involving real estate agents in the developers’ project consultancy team.

Originality/value

As there has been no prior research in this area, this study serves to provide fresh perspectives on how developers can better select the types of green features to be included in the green homes, so as to meet the potential homeowners’ needs and expectations and, at the same time, balance mandatory GM requirements with such demands. Choosing the right type of green features to incorporate in a residential development for homeowners to utilize increases the owners’ satisfaction level and allows them to reap the intended benefits of green features.

Details

Facilities, vol. 34 no. 11/12
Type: Research Article
ISSN: 0263-2772

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Article
Publication date: 10 April 2009

Gui‐Ju Shi, Jin‐Fang Han, Jun‐Ling Gao and Qing‐Yin Wang

The purpose of this paper is to discuss the Schur D‐stability and the vertex stability of interval matrices (including point matrix obviously). Some new sufficient…

Abstract

Purpose

The purpose of this paper is to discuss the Schur D‐stability and the vertex stability of interval matrices (including point matrix obviously). Some new sufficient conditions (criteria) are proposed which guarantee the interval matrix is Schur D‐stable. This results are shown to be less conservative than those in recent literatures. In addition, two equivalence relations between the Schur D‐stability and the vertex stability of interval matrices will be proposed and a new Schur D‐stability range of an interval matrix presented.

Design/methodology/approach

Matrix eigenvalues theory and matrix measure approach.

Findings

Several simple sufficient conditions (criteria) for guaranteeing the Schur D‐stability of interval matrices are derived, two equivalence relations between the Schur D‐stability and the vertex stability of interval matrices are proposed, and a new Schur D‐stability range of an interval matrix is presented.

Research limitations/implications

Control theory or stability theory. These stability criterion possess simple forms and provide useful tools to check Schur D‐stability of interval matrices (including point matrix) at first stage.

Practical implications

The paper provides useful tools to check Schur D‐stability of interval matrices (including point matrix) at first stage.

Originality/value

Two equivalence relations between the Schur D‐stability and the vertex stability for general interval matrices (including point matrix) are proposed, such that the conditional limitations for tridiagonal matrix in recent papers are broken. A new Schur D‐stability range of an interval matrix is presented, and several simple sufficient conditions are obtained which guarantee the Schur D‐stability of interval matrices (including point matrix).

Details

Kybernetes, vol. 38 no. 3/4
Type: Research Article
ISSN: 0368-492X

Keywords

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Book part
Publication date: 25 May 2021

Alessandra Girlando, Simon Grima, Engin Boztepe, Sharon Seychell, Ramona Rupeika-Apoga and Inna Romanova

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on…

Abstract

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.

Details

Contemporary Issues in Social Science
Type: Book
ISBN: 978-1-80043-931-3

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Article
Publication date: 19 September 2016

Qianqian Zheng, Liangliang Chen, Luyao Lu and Xuesong Ye

Olfaction plays a very important role in daily life. The olfactory system has the ability to recognize, discriminate and identify thousands of odorant compounds with…

Abstract

Purpose

Olfaction plays a very important role in daily life. The olfactory system has the ability to recognize, discriminate and identify thousands of odorant compounds with extremely high sensitivity and specificity. The research on olfactory system has very important values in exploring the mechanisms of information processing in the other sensory nervous systems and brain. Recently, with the development of molecular biological and microelectronics technology research, the study of olfactory cell-based sensors has made great progress. The purpose of this paper is to provide details of recent developments in olfactory cell-based sensors.

Design/methodology/approach

Following an introduction, this paper first discusses some olfactory cell-based biosensors, which focus on the light-addressable potentiometric sensors and the microelectrode arrays. Second, surface modification, microfabrication and microfluidic technology which can improve the efficiency of cell immobilization will be summarized. The research trends of olfactory cell-based sensor in future will be proposed.

Findings

This paper shows that the biosensors’ performance is expected to be greatly improved due to the fast development of nanotechnology, optical technology and microelectronics. More and more emerging intelligent olfactory sensors will have a promising prospect in many application fields, including food quality and safety assessment, environmental monitor and human diseases detection.

Originality/value

This paper provides a detailed and timely review of the rapidly growing research in the olfactory cell-based sensors.

Details

Sensor Review, vol. 36 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 27 July 2020

Xingyang Lv, Nian Li, Xiaowei Xu and Yang Yang

With the explosive growth of the Internet, online travel agents (OTAs) have gained an increasing market share in the online booking market. However, OTAs are facing fierce…

Abstract

Purpose

With the explosive growth of the Internet, online travel agents (OTAs) have gained an increasing market share in the online booking market. However, OTAs are facing fierce competition from hotels' direct booking channels, as well as competition among themselves. Therefore, there is a need for an understanding of the evolution of the OTA market from a dynamic perspective. The purpose of this study is to investigate the long-term effect of OTAs on the hospitality industry and to find whether an equilibrium of this effect exists in the context of e-commerce.

Design/methodology/approach

To gain a better understanding of the OTA market process, a mathematical framework is constructed on the basis of four assumptions. NetLogo 5.1.0 is used to perform a series of numerical simulations.

Findings

The results indicate the following: (1) the development of the OTA market helps to improve net social welfare, but hotels (especially economy hotels) have suffered as a result; (2) clever exploitation of both online and offline channels that are based on hotels' historical data may improve hotels' performance; (3) a scale-priority strategy can be more helpful than a profit-priority strategy for enabling OTAs to maintain their long-term competitiveness; (4) the timing of participation in online-channel competition is a crucial factor in determining whether OTAs can achieve business success.

Social implications

In this study, it is shown how consumer habits have changed since the development of OTAs. The online channels provided by OTAs create a convenient, low-cost user experience, and they consequently improve the net welfare of customers. OTAs should be encouraged appropriately, although some economy hotels may suffer from the rise of OTAs.

Originality/value

In this empirical study, a mathematical framework is developed to describe the process of evolution in the OTA market, and it uses simulations as a means to validate prior research findings. Unlike previous studies, a dynamic perspective is used in this investigation to interpret the emergence of OTAs and to analyze their enormous impact on the hospitality industry. Thus, the findings of this study capture the competitive characteristics of online and offline channels in a network context and indicate potential strategies for the development of OTAs and which hotels may use OTAs to achieve better performance. In addition, the study findings could be easily extended to explain many of the classical economic phenomena regarding firms with intangible products.

Details

Internet Research, vol. 30 no. 6
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 13 August 2019

Jing Peng, Guoping Tu, Yanhong Liu, Hao Zhang and Bibing Leng

The purpose of this paper is to provide a feasible scheme for local governments to regulate corporate environmental data fraud and to discuss whether the influence of the…

Abstract

Purpose

The purpose of this paper is to provide a feasible scheme for local governments to regulate corporate environmental data fraud and to discuss whether the influence of the construction of online information disclosure platform on the environmental behavior of enterprises is better than the offline spot check.

Design/methodology/approach

Under the background of changing environmental fees into taxes in China, this paper conducts evolutionary game analysis between local governments and enterprises in view of the existing problem of environmental data fraud. Furthermore, through the introduction of government information disclosure platform, this paper discusses the impact of the integration of direct government regulation and indirect public concern regulation on the evolution of environmental behavior of both sides. Finally, the evolutionary game is simulated by adopting system dynamics to analyses the implementation effect of different cases on the game process and game equilibrium.

Findings

The results showed that the introduction of information disclosure platform mechanism can effectively suppress the fluctuations existing in the game play and stabilize the game. Moreover, it is worth noting that the regulatory effect of local governments investing part of the monitoring cost in the construction of online information platform is proved to be better than that of putting all the monitoring cost into offline investigation. While optimizing the monitoring cost allocation, the local government still needs to attach great importance to organically combine the attention of the public and media with the governmental official platform.

Practical implications

The obtained results confirm that the proposed model can assist local government in refining the effects of their environmental regulatory decisions, especially in the case of corporate data fraud under environmental tax enforcement.

Originality/value

Previous literature only suggested that local governments should reduce the cost of supervision to change the corporate behavior to a better direction, but no further in-depth study. Thus, this study fills the gap by discussing the positive transformation effect of local government cost allocation scheme on corporate environmental behavior.

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Article
Publication date: 7 June 2021

Sixian Chan, Jian Tao, Xiaolong Zhou, Binghui Wu, Hongqiang Wang and Shengyong Chen

Visual tracking technology enables industrial robots interacting with human beings intelligently. However, due to the complexity of the tracking problem, the accuracy of…

Abstract

Purpose

Visual tracking technology enables industrial robots interacting with human beings intelligently. However, due to the complexity of the tracking problem, the accuracy of visual target tracking still has great space for improvement. This paper aims to propose an accurate visual target tracking method based on standard hedging and feature fusion.

Design/methodology/approach

For this study, the authors first learn the discriminative information between targets and similar objects in the histogram of oriented gradients by feature optimization method, and then use standard hedging algorithms to dynamically balance the weights between different feature optimization components. Moreover, they penalize the filter coefficients by incorporating spatial regularization coefficient and extend the Kernelized Correlation Filter for robust tracking. Finally, a model update mechanism to improve the effectiveness of the tracking is proposed.

Findings

Extensive experimental results demonstrate the superior performance of the proposed method comparing to the state-of-the-art tracking methods.

Originality/value

Improvements to existing visual target tracking algorithms are achieved through feature fusion and standard hedging algorithms to further improve the tracking accuracy of robots on targets in reality.

Details

Industrial Robot: the international journal of robotics research and application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-991X

Keywords

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