Search results

1 – 6 of 6
To view the access options for this content please click here
Article
Publication date: 25 September 2009

Wenxiang Sun, Jisheng Peng, Juelin Ma and Shihong Wang

The purpose of this paper is to prove that the technology that customers accept is sometimes not the most advanced, but backward, and to explain why different technologies…

Abstract

Purpose

The purpose of this paper is to prove that the technology that customers accept is sometimes not the most advanced, but backward, and to explain why different technologies could coexist under certain market situations and government regulations.

Design/methodology/approach

A general model was developed to analyze choice of technology regime under evolution of market demand and government regulation led by evolutionary economics.

Findings

Market demands and government regulations can affect the change of technology regime deeply, regardless of the level of certain technology. With the change of environment factors which affect China's mobile phones technological evolution, this paper testifies to the rationality and inevitability of PHS's market success and indicates that government regulations would impact the technological choice and lead to some technology market success, but it would lead to low efficiency of resources allocation.

Originality/value

The paper provides an instrument for analyzing the co‐evolution of market demand, government regulation and technology regime.

Details

Journal of Technology Management in China, vol. 4 no. 3
Type: Research Article
ISSN: 1746-8779

Keywords

To view the access options for this content please click here
Article
Publication date: 25 September 2009

Jisheng Peng, Weiguo Zhong and Shihong Wang

The purpose of this paper is to analyze the coordination of Chinese technology policy and assess its contribution to technology progress and economy development.

Abstract

Purpose

The purpose of this paper is to analyze the coordination of Chinese technology policy and assess its contribution to technology progress and economy development.

Design/methodology/approach

A method was developed to assess the coordination and its tendency of technology policy based on technology policy quantification. In addition, econometric models were built to estimate performance of technology policy coordination.

Findings

Chinese technology policy coordination shows significant characteristics in different periods; the level of policy coordination is promoted rapidly because the institutional path‐dependence and the competition of benefits among departments have aggravated an already unbalanced emphasis on the wording of the technology policy during the process of economic and political reform. The coordination among departments, coordination of policy goals and coordination of policy means play different roles in technology progress and economy development.

Research limitations/implications

Because of the limitation of data and time, the paper cannot assess the coordination among policy goals and policy means. Also, it is necessary to study the interaction of different principals and agencies during technology policy formulation and execution.

Practical implications

The methods in the paper can easily be used by decision makers evaluating the situation of technology policy coordination, and optimize policy based on the relationship of different policy targets and policy implements, especially the interaction of different principals and agencies.

Originality/value

The paper develops a method to assess technology policy coordination based on technology policy quantification and builds econometric models to assess its contribution to technology progress and economy development.

Details

Journal of Technology Management in China, vol. 4 no. 3
Type: Research Article
ISSN: 1746-8779

Keywords

To view the access options for this content please click here
Article
Publication date: 21 March 2016

Liyuan Xu, Jie He, Shihong Duan, Xibin Wu and Qin Wang

Sensor arrays and pattern recognition-based electronic nose (E-nose) is a typical detection and recognition instrument for indoor air quality (IAQ). The E-nose is able to…

Abstract

Purpose

Sensor arrays and pattern recognition-based electronic nose (E-nose) is a typical detection and recognition instrument for indoor air quality (IAQ). The E-nose is able to monitor several pollutants in the air by mimicking the human olfactory system. Formaldehyde concentration prediction is one of the major functionalities of the E-nose, and three typical machine learning (ML) algorithms are most frequently used, including back propagation (BP) neural network, radial basis function (RBF) neural network and support vector regression (SVR).

Design/methodology/approach

This paper comparatively evaluates and analyzes those three ML algorithms under controllable environment, which is built on a marketable sensor arrays E-nose platform. Variable temperature (T), relative humidity (RH) and pollutant concentrations (C) conditions were measured during experiments to support the investigation.

Findings

Regression models have been built using the above-mentioned three typical algorithms, and in-depth analysis demonstrates that the model of the BP neural network results in a better prediction performance than others.

Originality/value

Finally, the empirical results prove that ML algorithms, combined with low-cost sensors, can make high-precision contaminant concentration detection indoor.

Details

Sensor Review, vol. 36 no. 2
Type: Research Article
ISSN: 0260-2288

Keywords

To view the access options for this content please click here
Article
Publication date: 8 January 2020

Yunling Song, Shihong Li and Ling Zhou

The purpose of this paper is to investigate the spillover effects of a bright-line disclosure regulation that required Chinese listed firms to provide earnings forecasts…

Abstract

Purpose

The purpose of this paper is to investigate the spillover effects of a bright-line disclosure regulation that required Chinese listed firms to provide earnings forecasts if they anticipated specified, large earnings changes.

Design/methodology/approach

The paper examines the discontinuity of the earnings change distribution of firms listed on the Shenzhen Stock Market between 2010 and 2014. The paper finds that firms no longer subject to the bright-line test still exhibited discontinuity in earnings change distribution. The discontinuity lasted for at least three years with magnitude comparable to that of the firms still subject to the bright-line test. In addition, newly listed firms that had never experienced the bright-line test showed similar tendency to avoid the same threshold. There is some evidence that these firms’ avoidance of the −50 per cent changes was partly because of market pressure.

Research limitations/implications

Research on bright-line tests has to date focused on their immediate and direct effects on firms currently subject to such tests. This study finds that a bright-line disclosure regulation’s influence is not limited to the firms directly governed by the regulation. It could lead to widespread and long lasting distortions in financial reporting behaviors of firms not currently subject to such tests.

Practical implications

The paper has implications for regulators who study the economic consequences of bright-line regulations in general and analysts of the Chinese capital market in particular.

Originality/value

This is the first empirical report that bright-line disclosure regulations affected the financial reporting behavior of firms that were not directly subject to the bright-line tests.

Details

International Journal of Accounting & Information Management, vol. 28 no. 1
Type: Research Article
ISSN: 1834-7649

Keywords

To view the access options for this content please click here
Article
Publication date: 21 September 2015

Hailing Hou, Shihong Yue, Xiaoguang Huang and Huaxiang Wang

This paper aims to discuss flow pattern transition (FPT) as an important factor in multiple-phase flow measurements. Several methods have been proposed to control FPT, but…

Abstract

Purpose

This paper aims to discuss flow pattern transition (FPT) as an important factor in multiple-phase flow measurements. Several methods have been proposed to control FPT, but those methods fail to address the many issues in complex flow conditions that can affect flow patterns.

Design/methodology/approach

In this paper, a non-intrusive sensor instrumentation is applied to extract measurable data under different flow conditions. Using these data, a simple theoretical–mathematical method along with an orthogonal design is applied to FPT optimization. Orthogonal experiments are designed and carried out according to theoretical guidelines. Three selected process parameters – phase fraction, gas pressure in the initial independent process and liquid speed – are optimized for FPT results to produce a minimum FPT time.

Findings

The following results are obtained: the phase fraction in the initial independent process can lead to significant reductions in FPT time, gas pressure plays an important role and liquid speed has no apparent effect on FPT results. Under optimized conditions, FPT time can be shortened to 0.3-0.6 times by controlling the above three parameters compared with normal conditions.

Originality/value

The proposed method is simple, rapid and efficient for evaluating an FPT process and lays the foundation for further FPT applications.

Details

Sensor Review, vol. 35 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

To view the access options for this content please click here
Article
Publication date: 12 October 2012

Yingying Su, Taifu Li, Debiao Wang and Xinghua Liu

For many optimization problems such as optimal techniques, compositions, producing process, the optimizing objectives in systems are complex relations with respect to a…

Abstract

Purpose

For many optimization problems such as optimal techniques, compositions, producing process, the optimizing objectives in systems are complex relations with respect to a great deal of parameters. Generally, the objective function is hardly obtained, even the searching objective is unquantifiable. So it is difficult to model and optimize the complex systems to some extent.

Design/methodology/approach

To the above purpose, a novel approach is presented in this paper. It firstly utilizes the excellent fitting performance of neural network (NN) combined with expert knowledge (EK) to obtain the objective function, and secondly searches the optimal influential parameters with genetic algorithm (GA).

Findings

Peaks function inside Matlab and the acural application of comprehensive performance optimization in analog PID control system are studied, respectively. The results of simulation and the actual experiment both show that the modeling and optimizing method presented in the paper are effective.

Research limitations/implications

Expert knowledge is needed for the fuzzy/unquantifiable objective.

Practical implications

The paper presents a useful way to model and optimize complex systems.

Originality/value

The combined approach based on NN, EK and GA is firstly presented and is effectively used in modeling and optimizing complex systems.

1 – 6 of 6