bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical analysis of cutting tool temperature in dry machining processes with embedded heat pipe
Authors: Al‐Odat M.Q. 
Published: July 2010

PurposeThe purpose of this paper is to conduct a full three‐dimensional numerical analysis to simulate the thermal behavior of high speed steel (HSS) cutting tool, with temperature dependent thermal properties, in dry machining with embedded heat pipe (HP), and investigate the effects of HP installation, variable thermal properties, generated heat flux and cutting speed.Design/methodology/approachThe heat transfer equation used to predict cutting tool temperature is parabolic partial differential equation. Grid points including independent variables are initially formed in solution of partial differential equation by finite element method (FEM). In this paper, one‐dimensional heat transfer equation with variable thermophysical properties is solved by FEM.FindingsIn this paper, the heat transfer equation in cutting tool is solved for variable thermophysical properties and the temperature field and temperature history are obtained. Variable thermophysical properties are considered to display the temperature fields in the cutting tool.Originality/valueA full three‐dimensional numerical analysis is conducted to simulate the thermal behavior of HSS cutting tool, with temperature dependent thermal properties, in dry machining with embedded HP. The heat conduction equation is solved by FEM analysis.
Quality function deployment and its extensions
Authors: Zare Mehrjerdi Yahia 
Published: July 2010

PurposeThe author aims to review the fundamental concept of quality function deployment and to discuss the facts that the road to success for new product development is the identification of customers' requirements and their conversion into engineering design requirements. Thereafter, the author seeks to present an in‐depth review of the subject and to study five new cases on the topic of quality function deployment.Design/methodology/approachThe paper discusses the key elements of quality function deployment and the fact that the vision for the development of a comprehensive quality system can be built on the principles of quality function deployment taking customer requirements into consideration and relating them to design requirements.FindingsTo make the product development task successful and bring competitive advantages to the core business, management must be committed to the needs of customers through marketing surveys and implementing these in the process of product development by converting them into engineering design requirements.Originality/valueThis article reviews quality function deployment and its extensions such as fuzzy QFD, AHP and QFD, statistically extended QFD, dynamic QFD, and other extensions. In addition, cases covering the topics of a ship of quality, cost‐design parameter modeling, an enhanced version of quality function development, financial factors and uncertainties in the product design process with fuzzy formulation, and a model for prioritizing and designing rule changes for the game of soccer, are also reviewed.
Retail service quality in context of CIS countries
Authors: Das Anupam , Kumar Vinod , Saha Gour C. 
Published: July 2010

PurposeThis research aims to examine the applicability of the Retail Service Quality Scale (RSQS) in retail stores in Kazakhstan, a country of the Commonwealth of Independent States (CIS) that is in the transition stage from a controlled economy to a market economy. This research also attempts to identify the dimensions and sub‐dimensions that contribute to increasing the customer base.Design/methodology/approachA sample of 220 shoppers from department stores, discount stores, and supermarkets in Almaty city, Kazakhstan, was surveyed to examine the validity and reliability of the five dimensions (physical aspects, reliability, personal interaction, problem solving, and policy) and six sub‐dimensions (appearance, convenience, promises, doing‐it‐right, inspiring confidence and courteousness/helpfulness) of RSQS. The findings are cross‐validated hierarchically using confirmatory factor analysis (CFA). Step‐wise regression methods are used to identify the dimensions and sub‐dimensions contributing to increasing the customer base.FindingsThe research finds that the RSQS structure is a good fit in the Kazakhstan retail setting. The five dimensions and six sub‐dimensions together provide significant usefulness in measuring the quality of retail services. The research also finds that while all the dimensions and sub‐dimensions have a positive relationship, two dimensions (personal interaction, physical aspects) and one sub‐dimension (inspiring confidence) are strongly related to increasing the customer base through return customers and word of mouth from satisfied customers.Research limitations/implicationsThe present study does not distinguish applicability of the RSQS in the different formats of the retail store. Future research should examine the impact of the different retail formats in using the scale for measuring retail service quality.Practical implicationsProspective and existing retail service providers who place a high priority on quality can use this instrument to track the high growth potential of the retail sector in CIS countries. It will help to measure their services and increase their customer base by targeting the appropriate dimensions and sub‐dimensions.Originality/valueThe authors believe that this research reveals new insights about the retail sector in the context of CIS countries. This research also has managerial and research implications for designing and formulating operations strategy in providing retail services for new markets.
European Foundation for Quality Management Business Excellence Model
Authors: Young Kim Dong , Kumar Vinod , Murphy Steven A. 
Published: July 2010

PurposeThe purpose of this paper is to explore the nature of the research topics and methodologies used in the European Foundation for Quality Management (EFQM) Business Excellence Model studies, as well as to suggest a future research agenda.Design/methodology/approachAn integrative literature review methodology was used to explore the diversity of studies being conducted concerning the EFQM model.FindingsResults of the review indicate that the majority of papers are focused on too few research topics (e.g. performance measurement) with limited methodologies (e.g. case study).Research limitations/implicationsThe paper enables researchers and practitioners to recognize the missing avenues of current studies and how these avenues could be improved. It provides ideas to stimulate researchers to take divergent and multiple methodological facts. It will be helpful to enhance both the quality and volume of the EFQM model studies.Originality/valueThis paper identifies the current status of the EFQM model studies in terms of research topic and methodological issues.
Financial restatements and corporate governance among Malaysian listed companies
Authors: Nahar Abdullah Shamsul , Zalina Mohamad Yusof Nor , Naimi Mohamad Nor Mohamad 
Published: July 2010

PurposeThis paper seeks to examine the effects of Malaysian Code on Corporate Governance on the nature of financial restatements in Malaysia and whether corporate governance characteristics are associated with financial restatements.Design/methodology/approachData for this paper are obtained from annual reports that had been restated for the period of 2002‐2005 with firm‐years being the unit of observation. A control group comprising non‐restating firms is formed using match‐pair procedures where restated and non‐restated firms are matched by size, industry, exchange board classification, and financial year end. The data are subsequently analyzed using a t‐test, the Pearson correlation and logistic regression.FindingsThe results show that the primary reason for misstating the accounts is to inflate earnings. The nomination committee of the firms that restated is found to be less independent with higher managerial ownership. The logistic regression analysis indicates that the extent of ownership by outside blockholders deters firms from misstating accounts. Surprisingly, audit committee independence is associated with the likelihood of financial misstatement. Financial restatements, nevertheless, are not found to be associated with board independence, managerial ownership, and CEO duality. Finally, the results show that firms with high level of debts are more likely to commit in financial misstatement.Practical implicationsThe research is significant as it provides evidence on the role of corporate governance, especially the independence of the nomination committee and extent of ownership by outside blockholders in Malaysia. It shows that outside blockholders is effective in disciplining managers so that the accounts so prepared are not misleading. The move in 2007 by the Malaysian Government to require companies audit committee to be composed of only independent and non‐executive directors, as well as requiring audit committee members to be financially literate, should be seen as important in ensuring the effectiveness of the audit committee.Originality/valueThis research is considered as the first study which examines the effects of corporate governance variables on the incidents of financial restatements in a developing country. The findings of this paper would be useful for policy makers in evaluating the importance of corporate governance in emerging countries, specifically on the issue of quality financial reporting.
Auditor quality and earnings management: Singaporean evidence
Authors: Rusmin Rusmin 
Published: July 2010

PurposeThe purpose of this paper is to examine the association between the magnitude of earnings management and auditor quality. It focuses on earnings management in response to mounting pressure amongst investors, policy makers and corporate governance reformists for mechanisms to curb excessive opportunistic behavior amongst corporate management. Auditor quality is the main focus of this study analysis as this factor is considered to be a key determinant of earnings management.Design/methodology/approachThe cross‐sectional modified Jones model is used to measure discretionary accruals (the proxy for earnings management). Following prior studies (Pearson and Trompeter, Craswell et al., Hogan and Jeter, DeFond et al., Ferguson and Stokes), the author uses audit firm industry specialization to proxy auditor quality.FindingsThe paper presents evidence of a negative association between auditor quality and the earnings management indicator. This finding infers that the magnitude of earnings management amongst firms engaging the services of a specialist is significantly lower than firms purchasing audit services from a non‐specialist auditor. In addition, this study also reveals that the magnitude of earnings management is significantly lower amongst companies engaging a Big 4 specialist audit firm relative to companies using the audit services of a Non‐Big 4 specialist.Originality/valueInsights drawn from this study may be of assistance to policy makers as they consider the costs and benefits associated with varying levels of audit market concentration. The findings provide stronger support for allowing the audit market to operate in a basic laissez‐faire manner without any overbearing interference by policy makers. Given industry specialization is likely to play an increasingly important role in audit value in the future, policy makers and reformists play an important role in encouraging firms to use the services of, especially, Big 4 specialist auditors.
Neural networks: the panacea in fraud detection?
Authors: Krambia‐Kapardis Maria , Christodoulou Chris , Agathocleous Michalis 
Published: July 2010

PurposeThe purpose of the paper is to test the use of artificial neural networks (ANNs) as a tool in fraud detection.Design/methodology/approachFollowing a review of the relevant literature on fraud detection by auditors, the authors developed a questionnaire which they distributed to auditors attending a fraud detection seminar. The questionnaire was then used to develop seven ANNs to test the usage of these models in fraud detection.FindingsUtilizing exogenous and endogenous factors as input variables to ANNs and in developing seven different models, an average of 90 per cent accuracy was found in the fraud detection prediction model. It has, therefore, been demonstrated that ANNs can be used by auditors to identify fraud‐prone companies.Originality/valueWhilst previous researchers have looked at empirical predictors of fraud, fraud risk assessment methods and mechanically fraud risk assessment methods, no other research has combined both exogenous and endogenous factors in developing ANNs to be used in fraud detection. Thus, auditors can use ANNs as complementary to other techniques at the planning stage of their audit to predict if a particular audit client is likely to have been victimized by a fraudster.
Corporate environmental disclosure, corporate governance and earnings management
Authors: Sun Nan , Salama Aly , Hussainey Khaled , Habbash Murya 
Published: July 2010

PurposeThe purpose of this paper is to examine the association between corporate environmental disclosure (CED) and earnings management (EM) and the impact of corporate governance (CG) mechanisms on that association.Design/methodology/approachThe paper uses performance‐matched discretionary accruals (DA) as a measure of EM. The paper also uses ordinary least square regression with robust standard errors to examine the association between CED and EM for a sample of 245 UK non‐financial firms for the financial year ended on March 2007. Three different theoretical frameworks are used to identify the expected association between CER and EM. These include: signalling, agency and stakeholder‐legitimacy theories.FindingsThe paper finds no significant statistical association between various measures of DA and environmental disclosure. The paper also finds that some CG attributes affect the relationship between CER and EM.Practical implicationsThe result suggests that UK corporate managers are not using environmental disclosure as a technique to reduce the probability that public policy actions will be taken against their companies.Originality/valueSince most empirical research is limited to the US setting, this paper provides a novel contribution to the existing literature, as one of the first to examine this issue in the UK.
Market timing and the determinants of performance of sector funds over the business cycle
Authors: Kaushik Abhay , Pennathur Anita , Barnhart Scott 
Published: July 2010

PurposeMarket‐timing skills of fund managers are an important issue for both mutual fund investors and researchers. The purpose of this paper is to analyze the market‐timing skills and determinants of performance of sector funds across business cycles to see whether sector fund managers exhibit different market‐timing abilities across business cycle.Design/methodology/approachSingle factor, five‐factor conditional and five‐factor unconditional models were used to estimate the initial results for market timing of sector funds across the business cycle. Monthly data such as returns, Fama and French factors, and fund specific variables of sector funds from January 1990 to December 2005 were used to estimate initial and cross‐sectional results. Cross‐sectional analyses were done using two approaches: the traditional approach where alpha, the dependent variable, is estimated assuming that betas of predicting variables remain constant over time, and where alpha is estimated assuming that betas do change over time. Estimated alpha was estimated as a function of fund specific variables to examine which fund specific variables influence fund abnormal performance across the overall, recessionary, and expansionary periods.FindingsThe benchmark used in the analysis (S&P vs sector specific) was shown to greatly influence the results. Sector funds demonstrate positive timing ability during recessions and negative timing ability during expansions when using the S&P 500 as the benchmark, but this timing ability disappears when sector specific benchmarks are used. As a whole, sector funds exhibit significant negative timing ability across all stages of the business cycle. When using the more appropriate industry specific benchmarks, only the utility sector demonstrates significant timing ability over both stages of the business cycle.Research limitations/implicationsOnly two recessions are observed over the period of study. More recession periods would have given a clearer picture of findings across business cycle.Practical implicationsThis paper offers readers an insight into the market‐timing abilities of sector fund managers across the business cycles. Investors can use the findings of this paper to develop hedging strategies especially when the economy is going through recession.Originality/valueThis paper covers the longest period of sector funds market timing and is the only one that evaluates sector funds across business cycle.
Expected return, liquidity risk, and contrarian strategy: evidence from the Tokyo Stock Exchange
Authors: Kubota Keiichi , Takehara Hitoshi 
Published: July 2010

PurposeThe purpose of this paper is to determine the best conditional asset pricing model for the Tokyo Stock Exchange sample by utilizing long‐run daily data. It aims to investigate whether there are any other firm‐specific variables that can explain abnormal returns of the estimated asset pricing model.Design/methodology/approachThe individual firm sample was used to conduct various cross‐sectional tests of conditional asset pricing models, at the same time as using test portfolios in order to confirm the mean variance efficiency of basic unconditional models.FindingsThe paper's multifactor models in unconditional forms are rejected, with the exception of the five‐factor model. Further, the five‐factor model is better overall than the Fama and French model and other alternative models, according to both the Gibbons, Ross, and Shanken test and the Hansen and Jagannathan distance measure test. Next, using the final conditional five‐factor model as the de facto model, it was determined that the turnover ratio and the size can consistently predict Jensen's alphas. The book‐to‐market ratio (BM) and the past one‐year returns can also significantly predict the alpha, albeit to a lesser extent.Originality/valueIn the literature related to Japanese data, there has never been a comprehensive test of conditional asset pricing models using the long‐run data of individual firms. The conditional asset pricing model derived for this study has led to new findings about the predictability of past one‐year returns and the turnover ratio.
A review of enterprise risk management in supply chain
Authors: Olson David L. , Dash Wu Desheng 
Published: July 2010

PurposeThe purpose of this paper is to review published approaches to supply chain risk management, to include identification and classification of types of risks, cases, and models. Specific aspects of risk in supply chains involving China are also addressed.Design/methodology/approachLiterature review provides sources which are synthesized.FindingsA generic framework is identified, then categorizations of supply chain risks are compared. Cases and models applied to the study of supply chain risk are reviewed briefly. A review of Chinese risk in the supply chain context is provided.Originality/valueThis review includes many current studies, and is a source of useful references for those examining supply chain risk.
Risk comprehensive evaluation of urban network planning based on fuzzy Bayesian LS_SVM
Authors: He Yongxiu , Tao Weijun , Dai Aiying , Yang Lifang , Fang Rui , Li Furong 
Published: July 2010

PurposeThe purpose of this paper is to use artificial intelligence to evaluate the risks of urban power network planning.Design/methodology/approachA fuzzy Bayesian least squares support vector machine (LS_SVM) model is established in this paper, which can learn the risk information of urban power network planning through artificial intelligence and acquire expert knowledge for its risk evaluation. With the advantage of possessing learning analog simulation precision and speed, the proposed model can be effectively applied in conducting a risk evaluation of an urban network planning system. First, fuzzy theory is applied to quantify qualitative risk factors of the planning to determine the fuzzy comprehensive evaluation value of the risk factors. Then, Bayesian evidence framework is utilized in LS_SVM model parameter optimization to automatically adjust the LS_SVM regularization parameters and nuclear parameters to obtain the best parameter values. Based on this, a risk comprehensive evaluation of urban network planning based on artificial intelligence is established.FindingsThe fuzzy Bayesian LS_SVM model established in this paper is an effective artificial intelligence method for risk comprehensive evaluation in urban network planning through empirical study.Originality/valueThe paper breaks new ground in using artificial intelligence to evaluate urban power network planning risks.
Performance evaluation and risk analysis of online banking service
Authors: Wu Dexiang , Dash Wu Desheng 
Published: July 2010

PurposeOnline banking has attracted a great deal of attention from various bank stakeholders such as bankers, financial service participants, and regulators. The purpose of this paper is to analyze the online banking service performance of giant US and UK banks. Risk analysis is also conducted.Design/methodology/approachThis paper connects the principal component analysis (PCA) method with the data envelopment analysis (DEA) method to estimate the online banking performance. Data are collected from 2007 annual reports of giant banks in the USA and the UK including both financial and non‐financial variables.FindingsMost giant banks are performing well based on DEA analysis. Employees turn out to be a key variable that contribute most to banks' revenue. Different DEA models can be classified into cost‐ and online‐oriented models, which is consistent with existing work based on data from other nations.Originality/valueThis paper presents a unique demonstration of using PCA and DEA for evaluation of giant banks with online banking service.
The real R&D options value incorporating technological risk management
Authors: Luo Lieh‐Ming , Sheu Her‐Jiun 
Published: July 2010

PurposeThe paper aims to evaluate the real research and development (R&D) options value through the proposed model that can jointly consider the two types of risk management activities, i.e. hedging risks and making use of risks. Hedging is an important risk‐management tool that can diversify R&D risk internally since R&D organizations cannot transfer technological risks to another entity by conventional loss financing methods. Making use of risks means R&D organizations can benefit from proactively managing risks, and then can create management‐flexibility value from the real option reasoning viewpoint.Design/methodology/approachUsing the real options pricing approach, the paper provides an applicable assessment method for R&D projects that can jointly consider the aforementioned two types of risk management activities. The paper also investigates the value‐enhancing effects of R&D risk management activities via interviews survey and secondary data analyses in the pharmaceutical industry of Taiwan.FindingsThrough numerical analyses, the results indicate that the hedging management can serve to be effective mechanisms of risk reduction as well as value enhancement for R&D projects. Additionally, the value‐enhancing effect of hedging management is more significant for those R&D projects with even higher risk‐level. The results of empirical study also are consistent with the model prediction.Originality/valueTo achieve great performance of R&D risk management, R&D organizations need to implement both the types of risk management activities. By this real‐options valuation approach incorporating together those risk management activities, R&D projects portfolio can be evaluated adequately.