Accuracy enhancement of measurand estimate on the base of additive combined measurements

Sensor Review ◽  
2020 ◽  
Vol 40 (3) ◽  
pp. 377-383
Author(s):  
Minh Dai Ho ◽  
Sergey V. Muravyov
Keyword(s):  
Experimental Testing ◽  
Estimation Method ◽  
Measuring Instruments ◽  
Digital Measuring ◽  
Function Type ◽  
Content Type ◽  
Adjustment Method ◽  
Measurement Results ◽  
Parametric Adjustment ◽  
Combined Measurements

Purpose The paper aims to develop a method for improving the accuracy of smart sensors (deemed as digital measuring instruments) by organizing combined measurements and processing their results by the parametric adjustment method at heterogeneous dispersion of the random error of the applied regression model. Design/methodology/approach When carrying out combined measurements, the problem of joint processing of measurement results of functionally related quantities must be solved. The function type can be known in advance or obtained experimentally. The number of combined measurements exceeds the number of unknown measured quantities. The redundant measurements can improve the accuracy of estimates of measured values but lead to inconsistency of the measurement results. The problem of inconsistency is solved by the parametric adjustment method, which is rather widely used mainly in the field of geodetic measurements, wherein the parametric equations are linear and the measured quantities are additive. Findings The proposed method allows to reduce the uncertainty of type B of a measurement result, caused by the maximum permissible error of a digital measuring instrument, by 1.2–4 times in comparison with the direct estimation method. Originality/value A compact description of the parametric adjustment method in matrix form is given. Recommendations are given on shaping a sensitivity matrix of functions for the proposed method. The geometric interpretation of the proposed method is considered. The results of the proposed method experimental testing are given when evaluating resistance values.

The effect of high-involvement human resource management practices on supply chain integration

2015 ◽  
Vol 45 (8) ◽  
pp. 716-746 ◽  
Author(s):  
Baofeng Huo ◽  
Zhaojun Han ◽  
Haozhe Chen ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Estimation Method ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
High Involvement ◽  
Content Type ◽  
Hrm Practices

Purpose – Taking an interdisciplinary approach, the purpose of this paper is to combine concepts from human resource management (HRM) and supply chain management (SCM) fields and explore the effects of high-involvement HRM practices on supply chain integration (SCI). Design/methodology/approach – Using empirical survey data collected from ten countries, the authors examine the specific effects of three dimensions of high-involvement HRM practices – employee skills, incentives and participation – on three types of SCI – internal integration, supplier and customer integration. The authors use structural equation modeling and the maximum-likelihood estimation method to test the proposed relationships. Findings – The results confirm the overall relevancy of HRM to SCI. However, several proposed links are not supported by the data collected. Originality/value – This study makes both theoretical and managerial contributions by empirically examining the interface between HRM and SCI. More specifically, it examines the effects of different high-involvement HRM practices on different types of SCI. The findings will not only help researchers to better understand the interface, but will also guide managers in adjusting HRM practices to achieve desired operational goals.

The impact of globalization on the performance of Banks in South Africa

2016 ◽  
Vol 26 (4) ◽  
pp. 517-542 ◽  
Author(s):  
Fadzlan Sufian ◽  
Fakarudin Kamarudin
Keyword(s):  
South Africa ◽  
Host Country ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Estimation Method ◽  
Bank Performance ◽  
Content Type ◽  
Multinational Banks ◽  
Dynamic Panel Regression ◽  
The Impact

Purpose This paper aims to provide empirical evidence for the impact globalization has had on the performance of the banking sector in South Africa. In addition, this study also investigates bank-specific characteristics and macroeconomic conditions that may influence the performance of the banking sector. Design/methodology/approach The authors use data collected for all commercial banks in South Africa between 1998 and 2012. The ratio of return on assets was used to measure bank performance. They then used the dynamic panel regression with the generalized method of moments as an estimation method to investigate the potential determinants and the impact of globalization on bank performance. Findings Positive impact of greater economic integration and trade movements of the host country, while greater social globalization in the host country tends to exert negative influence on bank profitability. The results show that banks originating from the relatively more economically globalized countries tend to perform better, while banks headquartered in countries with greater social and political globalizations tend to exhibit lower profitability levels. Originality/value An empirical model was developed that allows for the performance of multinational banks to depend on internal and external factors. Moreover, unlike the previous studies on bank performance, in this empirical analysis, we control for the different dimensions of globalizations while taking into account the origins of the multinational banks. The procedure allows us to test for the home field, the liability of foreignness and global advantage hypotheses to deduce further insights into the prospects of banking across borders.

The dependence structure in volatility between Shanghai and Shenzhen stock market in China

2016 ◽  
Vol 6 (3) ◽  
pp. 264-283 ◽  
Author(s):  
Mingyuan Guo ◽  
Xu Wang
Keyword(s):  
Stock Market ◽  
High Frequency ◽  
Estimation Method ◽  
Garch Model ◽  
Price Volatility ◽  
Market Volatility ◽  
High Frequency Data ◽  
Dependence Structure ◽  
Frequency Data ◽  
Content Type

Purpose – The purpose of this paper is to analyse the dependence structure in volatility between Shanghai and Shenzhen stock market in China based on high-frequency data. Design/methodology/approach – Using a multiplicative error model (hereinafter MEM) to describe the margins in volatility of China’s Shanghai and Shenzhen stock market, this study adopts static and time-varying copulas, respectively, estimated by maximum likelihood estimation method to describe the dependence structure in volatility between Shanghai and Shenzhen stock market in China. Findings – This paper has identified the asymmetrical dependence structure in financial market volatility more precisely. Gumbel copula could best fit the empirical distribution as it can capture the relatively high dependence degree in the upper tail part corresponding to the period of volatile price fluctuation in both static and dynamic view. Originality/value – Previous scholars mostly use GARCH model to describe the margins for price volatility. As MEM can efficiently characterize the volatility estimators, this paper uses MEM to model the margins for the market volatility directly based on high-frequency data, and proposes a proper distribution for the innovation in the marginal models. Then we could use copula-MEM other than copula-GARCH model to study on the dependence structure in volatility between Shanghai and Shenzhen stock market in China from a microstructural perspective.

Shadow banking from China's perspective: an empirical analysis of bank-issued wealth management products

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Mehmood Raza Shah ◽  
Qiang Fu ◽  
Ghulam Abbas ◽  
Muhammad Usman Arshad
Keyword(s):  
Commercial Banks ◽  
Fixed Effects ◽  
Banking Sector ◽  
Balance Sheet ◽  
Estimation Method ◽  
Least Square ◽  
Shadow Banking ◽  
Content Type ◽  
Wealth Management ◽  
Chinese Banks

PurposeWealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).Design/methodology/approachIn this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.FindingsThis study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.Research limitations/implicationsNon-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.Practical implicationsFrom a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.Originality/valueThis research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.

Dynamic endogeneity and corporate governance-performance relationship

2017 ◽  
Vol 44 (5) ◽  
pp. 727-744
Author(s):  
Sujani Thrikawala ◽  
Stuart Locke ◽  
Krishna Reddy
Keyword(s):  
Corporate Governance ◽  
National Level ◽  
Estimation Method ◽  
Estimation Methods ◽  
Governance System ◽  
Past Performance ◽  
Gmm Estimation ◽  
Content Type ◽  
Dynamic Framework

Purpose The purpose of this paper is to examine the relationship between corporate governance (CG) and microfinance institution (MFI) performance, using a dynamic panel generalised method of moments (GMM) estimator to mitigate the serious issues with endogeneity. Design/methodology/approach Inconsistent findings and a general lack of empirical results for the microfinance industry leave an unclear message regarding the impacts of CG on MFI performance, especially in emerging economies. The authors use GMM estimation techniques to examine whether CG has an influence on MFI performance. Findings This study confirms that the MFIs’ contemporaneous performance and CG characteristics are statistically significantly positively linked with their past performance. This study finds statistically significant governance effects on MFI performance, including the presence of international directors and/or donor representatives on the board, client representatives on the board, percentage of non-executive directors and the quality of the national governance system. Practical implications These findings provide some insights for policy-makers and practitioners to develop suitable policies and guidelines to streamline MFIs’ operations in emerging countries. Moreover, national and international investors and donors may use these finding as a benchmark for their investment and funding decisions. Originality/value This paper is the first to estimate the CG and performance relationship of MFIs in a dynamic framework by applying the GMM estimation method. This approach improves upon traditional estimation methods by controlling the likely sources of endogeneity. Further, this paper examines whether quality of national-level governance characteristics is related to performance measures of profitability and outreach of MFIs.

Back-Connected digital measuring instruments

1969 ◽  
Vol 12 (9) ◽  
pp. 1309-1310
Author(s):  
Yu. V. Ivanov
Keyword(s):  
Measuring Instruments ◽  
Digital Measuring

A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network

2014 ◽  
Vol 4 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Ruiting Xu ◽  
Zhigeng Fang ◽  
Jinyu Sun
Keyword(s):  
Evaluation Model ◽  
Estimation Method ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Complex Products ◽  
Reasonable Approach ◽  
Estimate Quality ◽  
Grey Number ◽  
Hierarchy Process

Purpose – The purpose of this paper is to find out a scientific method to evaluate quality of complex products, whose quality is different from general products. Design/methodology/approach – Based on interval grey number theory, reliability analysis method and stochastic network theory, authors have established grey success tree analysis-graph evaluation and review technique (GSTA-GERT) model in this paper. Findings – Comparing complex products and general products, authors have found that complex products have two characters, i.e. quality of manufacture and quality of service. Furthermore, this paper has proved the GSTA-GERT model is a scientific and reasonable approach to estimate quality of complex products from the sight of manufacture-service network. Originality/value – This paper has established GSTA-GERT model, which surmounts the defect of traditional estimation method, such as lacking logic analysis in the method of analytic hierarchy process.

Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea

2018 ◽  
Vol 22 (2) ◽  
pp. 86-104 ◽  
Author(s):  
Bangwool Han ◽  
Minho Kim ◽  
Jaehoon Lee
Keyword(s):  
Service Quality ◽  
Behavioral Intentions ◽  
Online Shopping ◽  
Behavioral Control ◽  
Estimation Method ◽  
Perceived Behavioral Control ◽  
Normative Structure ◽  
Content Type ◽  
Cross Border ◽  
National Borders

Purpose Using the theory of planned behavior as its basis, the purpose of this paper is to investigate the relationships among beliefs about electronic service quality (E-S-QUAL); consumers’ need for uniqueness (CNFU); and beliefs about perceived behavioral control, expectations of important others, and cross-border online purchasing behavioral intention. The effects of E-S-QUAL and CNFU on attitude are examined with data collected from Korean consumers who have cross-border online purchasing experience. Design/methodology/approach The authors evaluate the research model in this study and test the hypotheses using partial least squares, an OLS regression-based estimation method that focuses on predicting independent variables hypothesized to have a causal relationship that maximizes the explanatory variance of the dependent variable. Findings Analysis of the data emphasizes that beliefs about E-S-QUAL and CNFU positively affect attitudes toward buying online from international sites, which in turn positively affect purchasing intention. Also, beliefs about self-efficacy and normative structure regarding cross-border online purchasing positively affect behavioral intentions. Originality/value This paper develops a conceptual model explaining consumers’ intentions to shop online across national borders. To the best of the authors’ knowledge, none of the previous studies have particularly mentioned the associations between beliefs about e-service quality and actual behavioral intentions in the context of cross-border online shopping. Also, the important role of CNFU has been ignored as one of the factors that can affect consumers’ decisions to shop online beyond national borders. In regard to this matter, the authors aim to investigate cross-border online shopping factors that can help international e-commerce gain a better understanding of the needs of their consumers.

The effect of the number of bank relationships on firm leverage: high-risk shift and the curse of mainstream banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Dinc ◽  
Rumeysa Bilgin
Keyword(s):  
High Risk ◽  
Capital Structure ◽  
Banking Sector ◽  
Negative Relationship ◽  
Estimation Method ◽  
Shareholder Wealth ◽  
Cost Of Debt ◽  
Content Type ◽  
Firm Leverage ◽  
The Capital Structure

Purpose Firms prefer to have more than one bank relationship to secure the flow of funds for their operations, particularly in bank-based economies. On the other hand, banks lean toward expanding their customer base with firms already in the credit market. The purpose of this study is to investigate the effect of the number of bank relationships as a firm-specific determinant of capital structure and to discuss its impact on the banking sector. Design/methodology/approach A two-step system generalized method of the moments estimation method is used in this study. The sample comprises 213 Turkish non-financial, publicly listed firms with a positive shareholder’s value for the 2012–2017 period. Findings The findings show that the number of bank relationships increases the leverage of sample firms while the concentration in the banking sector decreases it. These rather intriguing findings are attributed to an under-the-counter credit policy that causes a high-risk shift and a curse of mainstream banks. Once the mainstream banks allocated credit to the firm, its credibility is consumed by the following banks, which is implied by the significantly negative relationship between bank concentration and firm leverage. This problem is defined as the mainstream bank curse in the study. Originality/value The previous literature focuses on the effects of the number of bank relationships on firm profitability, cost of debt and shareholder wealth. However, its impact on the capital structure has not yet been systematically investigated. To the authors’ knowledge, this is the first study to critically analyze the effect of the number of bank relationships on the capital structure. The findings will be of immense benefit to the banking sector and the regulatory bodies.

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