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Article
Publication date: 9 February 2018

Arshad Ahmad, Chong Feng, Shi Ge and Abdallah Yousif

Software developers extensively use stack overflow (SO) for knowledge sharing on software development. Thus, software engineering researchers have started mining the…

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Abstract

Purpose

Software developers extensively use stack overflow (SO) for knowledge sharing on software development. Thus, software engineering researchers have started mining the structured/unstructured data present in certain software repositories including the Q&A software developer community SO, with the aim to improve software development. The purpose of this paper is show that how academics/practitioners can get benefit from the valuable user-generated content shared on various online social networks, specifically from Q&A community SO for software development.

Design/methodology/approach

A comprehensive literature review was conducted and 166 research papers on SO were categorized about software development from the inception of SO till June 2016.

Findings

Most of the studies revolve around a limited number of software development tasks; approximately 70 percent of the papers used millions of posts data, applied basic machine learning methods, and conducted investigations semi-automatically and quantitative studies. Thus, future research should focus on the overcoming existing identified challenges and gaps.

Practical implications

The work on SO is classified into two main categories; “SO design and usage” and “SO content applications.” These categories not only give insights to Q&A forum providers about the shortcomings in design and usage of such forums but also provide ways to overcome them in future. It also enables software developers to exploit such forums for the identified under-utilized tasks of software development.

Originality/value

The study is the first of its kind to explore the work on SO about software development and makes an original contribution by presenting a comprehensive review, design/usage shortcomings of Q&A sites, and future research challenges.

Details

Data Technologies and Applications, vol. 52 no. 2
Type: Research Article
ISSN: 2514-9288

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Article
Publication date: 27 November 2020

Gopal Kumar

Considering the limitations of supply chain collaboration (SCC) literature, the purpose of this paper is to develop SCC framework and analyze the SCC practice based on the…

Abstract

Purpose

Considering the limitations of supply chain collaboration (SCC) literature, the purpose of this paper is to develop SCC framework and analyze the SCC practice based on the framework. The framework incorporating internal and external knowledge sharing under a collaborative culture (CC) and problem-solving environment preceded by preparedness is required.

Design/methodology/approach

To achieve successful collaboration, this paper encompasses problem-solving and performance measurement, preparedness, culture, relationship strength (RS) and gives resource sharing and planning as internal and external focused perspectives. Exploratory methods are used to analyze the data from industries.

Findings

CC, RS and preparedness are crucial that reflect the health of collaboration. Three levels of collaboration practice – good, moderate and weak – are prominent where the extent of SCC practice seems weak. Collaborative activities that matter more are identified. Market-based knowledge sharing is important for good and moderate SCC, while weaker collaboration does not focus on it. Interestingly, this paper finds an increasing level of collaboration may not always result in increased performance. Firms from the pharmaceutical, automobile and electrical/electronic industry tended to practice higher collaboration as compared to other industries.

Originality/value

By integrating market-driven management, resource-based view, and contingency theory, the SCC framework gives a new perspective. Joint planning and resource sharing are categorized as internal and external focused functional areas. The paper identifies three profiles of collaboration and discusses the importance of SCC activities in achieving performance.

Details

Journal of Business & Industrial Marketing, vol. 36 no. 6
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 1 July 2003

Ying Yi‐rong, Lin Yi and Wu Chongfeng

The dynamic measure of risk problem in a incomplete market is discussed when stock appreciation rates are uncertain. Meanwhile, a related stochastic game problem is…

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653

Abstract

The dynamic measure of risk problem in a incomplete market is discussed when stock appreciation rates are uncertain. Meanwhile, a related stochastic game problem is studied. The value of a stochastic optimal control is regarded as a reasonable measure of the risk. The form of the optimal objective is obtained by employing the tools of BSDE theory.

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Kybernetes, vol. 32 no. 5/6
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 11 October 2020

Zhu Feng, Shaotao Zhi, Xuecheng Sun, Lili Yan, Cui Liu and Chong Lei

This paper aims to investigate the influence of structure parameters on giant-magnetoimpedance (GMI) effect measured by non-contact method.

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83

Abstract

Purpose

This paper aims to investigate the influence of structure parameters on giant-magnetoimpedance (GMI) effect measured by non-contact method.

Design/methodology/approach

The GMI sensor contains a Co-based internal magnetic core fabricated by laser cutting and an external solenoid. The influences of magnetic permeability of magnetic core and structure parameters on GMI effect were calculated in theoretical model. The output impedance, resistance, reactance and GMI ratio were measured by non-contact method using impedance analyzer.

Findings

Enhancing external magnetic field intensity can decrease the magnetic permeability of core, which has vital influences on the magnetic property and the output response of GMI sensor. In addition, increasing the width of magnetic core and the number of solenoid turns can increase the maximum GMI ratio. The maximum GMI ratio is 3,230% with core width of 6 mm and solenoid turns of 200.

Originality/value

Comparing with traditional contact-measured GMI sensor, the maximum GMI ratio and the magnetic field sensitivity are improved and the power consumption is decreased in non-contact measured GMI sensor. GMI sensor measured by non-contact method has a wide range of potential applications in ultra-sensitive magnetic field detection.

Details

Sensor Review, vol. 40 no. 6
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 9 October 2018

Zhu Feng, Shaotao Zhi, Lei Guo, Chong Lei and Yong Zhou

This paper aims to investigate magnetic field anneal in micro-patterned Co-based amorphous ribbon on giant magneto-impedance (GMI) effect enhancement.

Abstract

Purpose

This paper aims to investigate magnetic field anneal in micro-patterned Co-based amorphous ribbon on giant magneto-impedance (GMI) effect enhancement.

Design/methodology/approach

The amorphous ribbons were annealed in transverse and longitudinal magnetic field. The influence of different field annealing directions on GMI effect and impedance Z, resistance R and reactance X with a series of line width have been deeply analyzed.

Findings

In comparison with GMI sensors microfabricated by unannealed and transversal field annealed ribbons, GMI sensor which was designed and microfabricated by longitudinal field anneal ribbon performs better. The results can be explained by the domain wall motion and domain rotation during annealing process and the geometric structure of Co-based GMI sensor. In addition, shrinking the line width of GMI sensor can promote GMI effect significantly because of the effect of demagnetizing field, and the optimum GMI ratio is 209.7 per cent in longitudinal field annealed GMI sensor with 200 μm line width.

Originality/value

In conclusion, annealing in longitudinal magnetic field and decreasing line width can enhance GMI effect in micro-patterned Co-based amorphous ribbon.

Details

Sensor Review, vol. 39 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

Open Access
Article
Publication date: 15 October 2021

Bangxi Li, Chong Liu, Feng Zhao and Yanghua Huang

In the current literature, there is little systematic research on the relationship among adjustment of the income distribution, change in economic structure and…

Abstract

Purpose

In the current literature, there is little systematic research on the relationship among adjustment of the income distribution, change in economic structure and improvement of macroeconomic efficiency.

Design/methodology/approach

This paper expands Marx's reproduction schema into the “Marx–Sraffa” three-department structure table comprising fixed capital, general means of production and means of consumption and employs China's input–output table from 1987 to 2015 to portray the relationship between income distribution and macroeconomic efficiency under investment-driven growth.

Findings

This paper calculates the wage–profit curve of China's economy and evaluates the space of macroeconomic efficiency improvement in China based on the deviation between actual and potential income distribution structure.

Originality/value

The results show that there is a downward trend of the profit rate, which meets Marx's theoretical prediction, and the decline in the profit rate is mainly attributed to an increase in the organic composition of capital arising from the rapid growth of fixed capital investment under extended growth. The analysis of macroeconomic efficiency shows that the space for improving macroeconomic efficiency is extremely limited under traditional growth pattern and that China must transform its economic development pattern and foster new economic growth drivers.

Details

China Political Economy, vol. 4 no. 1
Type: Research Article
ISSN: 2516-1652

Keywords

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Article
Publication date: 16 October 2019

Jing Xiang, Chong Wang, Yuanming Chen, Feng Xia, Wei He, Hua Miao, Jinqun Zhou, Qingguo Chen and Xiaofeng Jin

The purpose of this study is to investigate the synergism of convection, current density distribution and additives by numerical simulation and electrochemical…

Abstract

Purpose

The purpose of this study is to investigate the synergism of convection, current density distribution and additives by numerical simulation and electrochemical experiments for good throwing power (TP) of copper electro-deposition in printed circuit board (PCB) manufacture.

Design/methodology/approach

The flow field of THs and current density distribution on various AR of THs are calculated and analyzed. Meanwhile, corresponding simulation is used to study the performance of plating electrolytes on TP. Two electrochemical parameters, overpotential (η) and potential difference (△η), are chosen to evaluate the electrochemical properties of different plating solutions by galvanostatic measurement and potentiodynamic cathode polarization at different rotating speeds.

Findings

By combining both the results of simulation and practical plating, these two electrochemical properties of electrolytes exhibit significant impact to the system at varied conditions. Especially, the electrolyte with higher polarizing η and △η values lead to the elevated TP for AR of more than 2:1.

Originality/value

The harring cell model is built as a bridge between the theoretical and experimental study for control of uniformity of plating THs in PCB manufacturing. This dual-parameter evaluation is validated to be a promising decisive method to guide the THs plating with particular AR in industry.

Details

Circuit World, vol. 45 no. 4
Type: Research Article
ISSN: 0305-6120

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Article
Publication date: 12 July 2021

Subhash Abhayawansa and Carol Adams

This paper aims to evaluate non-financial reporting (NFR) frameworks insofar as risk reporting is concerned. This is facilitated through analysis of the adequacy of…

Abstract

Purpose

This paper aims to evaluate non-financial reporting (NFR) frameworks insofar as risk reporting is concerned. This is facilitated through analysis of the adequacy of climate- and pandemic-related risk reporting in three industries that are both significantly impacted by the COVID-19 pandemic and are at risk from climate change. The pervasiveness of pandemic and climate-change risks have been highlighted in 2020, the hottest year on record and the year the COVID-19 pandemic struck. Stakeholders might reasonably expect reporting on these risks to have prepared them for the consequences.

Design/methodology/approach

The current debate on the “complexity” of sustainability and NFR frameworks/standards is critically analysed in light of the COVID-19 pandemic and calls to “build back better”. Context is provided through analysis of risk reporting by the ten largest airlines and the five largest companies in each of the hotel and cruise industries.

Findings

Risk reporting on two significant issues, pandemics and climate change, is woefully inadequate. While very little consideration has been given to pandemic risks, disclosures on climate-related risks focus predominantly on “risks” of increased regulation rather than physical risks, indicating a short-term focus. The disclosures are dispersed across different corporate reporting media and fail to appreciate the long-term consequences or offer solutions. Mindful that a conceptual framework for NFR must address this, the authors propose a new definition of materiality and recommend that sustainable development risks and opportunities be placed at the core of a future framework for connected/integrated reporting.

Research limitations/implications

For sustainable development risks to be perceived as “real” by managers, further research is needed to determine the nature and extent of key sustainable development risks and the most effective mitigation strategies.

Social implications

This paper highlights the importance of recognising the complexity of the issues facing organisations, society and the planet and addressing them by encouraging robust consideration of the interdependencies in evolving approaches to corporate reporting.

Originality/value

This study contributes to the current debate on the future of corporate reporting in light of two significant interconnected crises that threaten business and society – the pandemic and climate change. It provides evidence to support a long-term oriented and holistic approach to risk management and reporting.

Details

Meditari Accountancy Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2049-372X

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Article
Publication date: 5 May 2020

Diego Leiva

China's experience of investing in Latin America in one of the main sectors included in the BRI architecture, railways, has faced significant challenges: only one of four…

Abstract

Purpose

China's experience of investing in Latin America in one of the main sectors included in the BRI architecture, railways, has faced significant challenges: only one of four Chinese potential railway projects in Latin America has materialised. The purpose of this paper is to explore these challenges and to provide an explanation focusing on the importance of the “domestic politics” factor.

Design/methodology/approach

The paper proposes a comparative study of four cases, developing a qualitative analysis based on an in-depth review of the literature and primary and secondary sources of information.

Findings

The findings suggest that domestic politics played a significant role in the outcomes of the Brazil–Peru Bi-Oceanic railway (changes in government), in Argentina's Belgrano Cargas modernisation project (multiple “domestic politics” factors, such as a presidential campaign), in Venezuela's failed Tinaco-Anaco high-speed train project (authoritarian turn/country's stability) and in Mexico's Querétaro-Ciudad de México high-speed train project (corruption and popular contestation). The paper suggests that one should not expect an easy or fast projection of the BRI in the region, at least in the short- and mid-term, because becoming familiar with the domestic politics of Latin American is a complex and gradual task.

Originality/value

The particular impact of the political risks related to domestic politics in the Chinese Foreign Direct Investment (FDI) in Latin America has not been extensively explored, especially in the railway sector. This paper intends to contribute to this literature gap by analysing four cases of Chinese investment in railways in Latin America, an area that has received little attention in the studies of the Chinese FDI in the region, and proposing an explanation of their outcomes focusing on the “domestic politics” factor.

Details

Asian Education and Development Studies, vol. 10 no. 3
Type: Research Article
ISSN: 2046-3162

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Article
Publication date: 1 August 2016

R.M. Kapila Tharanga Rathnayaka, D.M.K.N Seneviratna and Wei Jianguo

Because of the high volatility with unstable data patterns in the real world, the ability of forecasting price indices is notoriously embarrassing and represents a major…

Abstract

Purpose

Because of the high volatility with unstable data patterns in the real world, the ability of forecasting price indices is notoriously embarrassing and represents a major challenge with traditional time series mechanisms; especially, most of the traditional approaches are weak to forecast future predictions in the high volatile and unbalanced frameworks under the global and local financial depressions. The purpose of this paper is to propose a new statistical approach for portfolio selection and stock market forecasting to assist investors as well as stock brokers to predict the future behaviors.

Design/methodology/approach

This study mainly takes an attempt to understand the trends, behavioral patterns and predict the future estimations under the new proposed frame for the Colombo Stock Exchange (CSE), Sri Lanka. The methodology of this study is carried out under the two main phases. In the first phase, constructed a new portfolio mechanism based on k-means clustering. In the second stage, proposed a nonlinear forecasting methodology based on grey mechanism for forecasting stock market indices under the high-volatile fluctuations. The autoregressive integrated moving average (ARIMA) predictions are used as comparison mode.

Findings

Initially, the k-mean clustering was applied to pick out the profitable sectors running under the CSE and results indicated that BFI is more significant than other 20 sectors. Second, the MAE, MAPE and MAD model comparison results clearly suggested that, the newly proposed nonlinear grey Bernoulli model (NGBM) is more appropriate than traditional ARIMA methods to forecast stock price indices under the non-stationary market conditions.

Practical implications

Because of the flexible nonlinear modeling capability, proposed novel concepts are more suitable for applying in various areas in the field of financial, economic, military, geological and agricultural systems for pattern recognition, classification, time series forecasting, etc.

Originality/value

For the large sample of data forecasting under the normality assumptions, the traditional time series methodologies are more suitable than grey methodologies. However, the NGBM is better both in model building and ex post testing stagers under the s-distributed data patterns with limited data forecastings.

Details

Grey Systems: Theory and Application, vol. 6 no. 2
Type: Research Article
ISSN: 2043-9377

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