Variable snap-off study for 3D additive screen printing

2020 ◽  
Vol 32 (3) ◽  
pp. 430-445
Author(s):  
Yacheng Wang ◽  
Peibo Li ◽  
Yuegang Liu ◽  
Yize Sun ◽  
Liuyuan Su
Keyword(s):  
Theoretical Model ◽  
Regression Model ◽  
Design Methodology ◽  
Screen Printing ◽  
Least Square ◽  
Support Vector ◽  
Content Type ◽  
Printing Quality ◽  
Comparison Results ◽  
The Relationship

Purpose In 3D additive screen printing with constant snap-off, the inhomogeneous screen counterforce will influence the printing force and reduce the printing quality. The purpose of this paper is to study the relationship between scraper position, snap-off and screen counterforce and develop a variable snap-off curve for 3D additive screen printing to improve the printing quality. Design/methodology/approach An experiment was carried out; genetic algorithm (GA) optimization theoretical model, backpropagation neural network regression model and least square support vector machine regression model were established to study the relationship between scraper position, snap-off and screen counterforce. The absolute errors of counterforce of three models with the experiment results were less than 1.5 N, which was tolerated and the three models were considered valid. The comparison results showed that GA optimization theoretical model performed best. Findings The results suggest that GA optimization theoretical model performed best to represent the relationship, and it was used to develop a variable snap-off curve. With the variable snap-off curve in 3D additive screen printing, the inhomogeneous screen counterforce was weakened and the printing quality was improved. Originality/value In printing production, the variable snap-off curve in 3D additive screen printing helps improve the printing quality; this study is of prime importance to the 3D additive screen printing.

Individual unlearning, organizational unlearning and strategic flexibility

2019 ◽  
Vol 14 (1) ◽  
pp. 2-18 ◽  
Author(s):  
Xiangyang Wang ◽  
Ying Qi ◽  
Yingxin Zhao
Keyword(s):  
Theoretical Model ◽  
Survey Data ◽  
Design Methodology ◽  
Mediating Effect ◽  
Strategic Flexibility ◽  
Content Type ◽  
Positive Effects ◽  
The Relationship

PurposeThe purpose of this paper is to explore the relationship between unlearning and strategic flexibility from the down-up change perspective.Design/methodology/approachDrawing on the routine-updating process, this study builds a theoretical model and examines it using survey data from 233 firms in China.FindingsUnlearning is the enabler to strategic flexibility. Specifically, individual unlearning and organizational unlearning both have positive effects on strategic flexibility. Organizational unlearning exerts a partly mediating effect on the relationship between individual unlearning and strategic flexibility.Originality/valueThe paper examines the different mechanisms of individual and organizational unlearning on strategic flexibility and suggests that unlearning is a useful method or approach for strategic flexibility. In addition, this study is useful to help managers or practitioners determine how to embrace strategic flexibility by unlearning.

Sentiment classification of Chinese cosmetic reviews based on integration of collocations and concepts

2019 ◽  
Vol 38 (1) ◽  
pp. 155-169
Author(s):  
Chihli Hung ◽  
You-Xin Cao
Keyword(s):  
Design Methodology ◽  
Classification Performance ◽  
Sentiment Classification ◽  
Support Vector ◽  
Research Approach ◽  
Content Type ◽  
Novel Approach ◽  
The Relationship ◽  
Modelling Approach

Purpose This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification. Design/methodology/approach This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts. Findings This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy. Originality/value This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.

Inclusive leadership: new age leadership to foster organizational inclusion

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sunaina Chetan Kuknor ◽  
Shubhasheesh Bhattacharya
Keyword(s):  
Theoretical Model ◽  
Literature Review ◽  
Human Resources ◽  
Design Methodology ◽  
Human Resources Development ◽  
Inclusive Leadership ◽  
Content Type ◽  
Set Up ◽  
The Relationship ◽  
Practical Implications

Purpose This paper aims to investigate the relationship between inclusive leadership (IL) and organizational inclusion (OI) in literature and explores the contribution of IL and OI in human resources development (HRD). Design/methodology/approach The systematic literature review was undertaken from peer-reviewed journals. In total, 68 articles were critically analyzed to be included in the review highlighting the relationship between IL and OI. Findings The paper provides insights into leader behaviors that foster IL and how it differs from other styles of leadership. The paper also proposes a theoretical model to show the relationship between IL and OI. Practical implications The study will facilitate creating awareness in practitioners and academicians who think inclusion is mostly concerned with disabled learners, which is misleading. The paper will help the concerned stakeholders to formulate HRD practices to foster an inclusive culture at work. Originality/value The paper explores an area less researched and is among the few review papers investigating through the relationship between IL and OI and how they impact HRD practices in an organizational set-up.

Do financial constraints moderate the relationship between innovation subsidies and firms' R&D investment?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enrique Acebo ◽  
José-Ángel Miguel-Dávila ◽  
Mariano Nieto
Keyword(s):  
Theoretical Model ◽  
Design Methodology ◽  
Financial Constraints ◽  
Point Of View ◽  
Economic Data ◽  
Content Type ◽  
Marginal Effects ◽  
The Relationship ◽  
D Investment ◽  
Innovation Policies

PurposeThe purpose of this paper is to analyse whether the effect of innovation subsidies on firms' R&D investment varies depending on whether the firm is suffering from financial constraints.Design/methodology/approachTo address this analysis, the authors provide a theoretical model and test their hypothesis using an econometric analysis of an unbalanced panel of 3,865 innovative Spanish firms during 2010–2017. They employ the SABI database to obtain firms' financial and economic data and incorporate firms' MORE financial rating. Specifically, the authors use the GMM-SYS technique to regress and measure the marginal effects of innovation subsidies size on firms' R&D investment and the influence of firms' financial constraints.FindingsThe results of this work indicate that financial constraints negatively moderate the effect of subsidies on R&D investment; that is, those firms that receive a subsidy and suffer financial constraints invest less in R&D projects than those which also receive the subsidy and do not suffer financial constraints. Besides, this work found that innovation subsidies alone do not significantly increase firms' R&D investment.Originality/valueFrom a neoclassical point of view, the existence of financial constraints is the justification of public innovation policies. However, due to the difficulty of measuring financial constraints, innovation literature has abandoned the analysis of this crucial variable. This work reintroduces this vital variable and analyses how it interacts with innovation subsidies on firms' R&D investment.

Categorization of fabric design using multi-class least-square support vector machine

2014 ◽  
Vol 26 (1) ◽  
pp. 58-66 ◽  
Author(s):  
A. Ghosh ◽  
T. Guha ◽  
R. Bhar
Keyword(s):  
Pattern Recognition ◽  
Design Methodology ◽  
Inequality Constraints ◽  
Recognition System ◽  
Least Square ◽  
Support Vector ◽  
Content Type ◽  
Reasonable Degree ◽  
Vector Machines ◽  
Fabric Design

Purpose – The purpose of this paper is to give an approach for categorization of diverse textile designs using their textural features as extracted from their gray images by means of multi-class least-square support vector machines (LS-SVM). Design/methodology/approach – In this work, the authors endeavor to devise a pattern recognition system based on LS-SVM which performs a multi-class categorization of three basic woven designs namely plain, twill and sateen after analyzing their features. Findings – The result establishes that LS-SVM is able to classify the fabric design with a reasonable degree of accuracy and it outperforms the standard SVM. Originality/value – The algorithmic simplicity of LS-SVM resulting from replacement of inequality constraints by equality ones and ability of handling noisy data by accommodating an error variable in its algorithm make it eminently suitable for textile pattern recognition. This paper offers a maiden application of LS-SVM in textile pattern recognition.

Interaction among funding liquidity, liquidity creation and stock liquidity of banks

2016 ◽  
Vol 24 (4) ◽  
pp. 430-452 ◽  
Author(s):  
Muhammad Umar ◽  
Gang Sun
Keyword(s):  
Design Methodology ◽  
Least Square ◽  
Least Square Estimation ◽  
Stock Liquidity ◽  
Content Type ◽  
Funding Liquidity ◽  
Brics Countries ◽  
Recent Financial Crisis ◽  
The Relationship ◽  
Practical Implications

Purpose This study aims to explore the relationship between three different kinds of bank liquidity: funding liquidity; liquidity creation; and stock liquidity. Design/methodology/approach It used the data from listed banks of BRICS countries spanning the period 2007-2014. Simultaneous equations model and three-stage least square estimation were used for analysis. Findings First of all, increase in liquidity creation is linked to decline in funding liquidity, but variation in funding liquidity does not describe changes in liquidity creation. Second, higher stock illiquidity is associated with greater liquidity creation, but liquidity creation does not determine variation in stock liquidity. Lastly, there is no direct relationship between funding liquidity and stock liquidity; however, stock liquidity indirectly affects funding liquidity through liquidity creation. Practical implications The findings highlight the fact that capital is not the only determinant of liquidity creation, rather stock liquidity is an equally important determinant in the case of listed banks of BRICS countries. This fact has been highlighted by the recent financial crisis. Furthermore, funding liquidity depends on liquidity creation which depends on stock liquidity. However, the stock liquidity of banks neither depends on liquidity creation nor funding liquidity. Originality/value To the best of the authors’ knowledge, this study is the first one to provide the empirical evidence for the relationship between three different kinds of bank liquidity.

How ambidextrous social networking service users balance different social capital benefits: an evidence from WeChat

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daqing Zheng ◽  
Lin Huang ◽  
Ki Joon Kim
Keyword(s):  
Social Capital ◽  
Theoretical Model ◽  
Social Networking ◽  
Design Methodology ◽  
Exploration And Exploitation ◽  
Social Networking Service ◽  
Content Type ◽  
Exploration Process ◽  
Bonding And Bridging ◽  
The Relationship

PurposeSocial networking services (SNSs) have been praised for their social capital (SC) benefits. However, the time displacement hypothesis in Internet research may challenge such an optimistic view. In response to this challenge, this study aimed to develop a theoretical model that uncovers the transformation, rather than displacement among online and offline SC in terms of bonding and bridging types during SNSs use.Design/methodology/approachThe concept of SC was divided into the following four types: offline bonding, online bonding, offline bridging and online bridging. A theoretical model grounded in individual ambidexterity theory was developed that uncovered the transformation among these types of SC, and it was tested a sample of WeChat users in China. Furthermore, the theoretical model included the concept of cognitive ambidexterity, which promotes transformation.FindingsAs an exploitation process, offline bonding SC mediated the relationship between SNSs use and online bonding SC. As an exploration process, online bridging SC mediated the association between SNSs use and offline bridging SC. In addition, cognitive ambidexterity moderated the exploration and exploitation processes positively.Originality/valueThis study demonstrated that SNSs users strategically and successfully manage SC benefits through exploitation and exploration processes, and ambidextrous individuals can do this more effectively. Accordingly, this study proposed the transformation hypothesis in the SNSs context.

Do labour unions mitigate labour conflicts in China’s manufacturing firms?

2018 ◽  
Vol 29 (4) ◽  
pp. 470-486
Author(s):  
Hanbing Fan ◽  
Yiming Dong ◽  
Dezhuang Hu ◽  
Lianfa Luo
Keyword(s):  
Regression Model ◽  
Design Methodology ◽  
Manufacturing Firms ◽  
Monopoly Power ◽  
Employee Survey ◽  
Content Type ◽  
Labour Unions ◽  
Logit Regression ◽  
Logit Regression Model ◽  
The Relationship

Purpose This paper aims to examine whether labour unions influence labour conflicts and this mechanism is different in China compared with other countries. Design/methodology/approach This paper uses the data from the China Employer–Employee Survey that interviewed 1,208 firms and 10,087 workers in 2016 as the measurement of variables, and it uses Logit regression model to do the empirical research. Findings Unions cannot significantly influence labour conflicts. More active unions and unions whose leaders are appointed by the firms’ management are associated with a higher incidence of labour conflicts. Originality/value This paper finds a new mechanism that explains the relationship between unions and labour conflicts. The existing literature states that unions may increase labour conflicts via “monopoly power” and may also mitigate labour conflicts via “voice mechanisms”. This paper’s findings show that the positive correlation between unions and labour conflicts may be explained by the lack of “voice mechanism” rather than “monopoly power”. The findings imply that labour unions should represent the interest of workers to mitigate the increasing labour conflicts.

Does Ramadan influence the returns and volatility? Evidence from Shariah index in India

2019 ◽  
Vol 10 (4) ◽  
pp. 565-579
Author(s):  
Dharani Munusamy
Keyword(s):  
Abnormal Return ◽  
Design Methodology ◽  
Positive Impact ◽  
Least Square ◽  
Content Type ◽  
Ordinary Least Square ◽  
The Impact ◽  
The Relationship

PurposeMuslim’s hope that the holy month of Ramadan will create something more valuable for them. Through fasting and good actions, they can get rewarded twice than they normally can achieve. With this motivation, the purpose of this paper is to investigate the holy month of Ramadan effect on the returns and volatility of the Shariah index in India.Design/methodology/approachUsing the ordinary least square methods, this paper examines the impact of Ramadan effect on the returns of the Shariah index in India. This paper further investigates the impact of the holy month of Ramadan effect on the volatility of the Shariah index by applying GARCH-modified models. This paper categorizes the Ramadan days into three parts, namely God’s Mercy, God’s Forgiveness and Emancipation from hellfire to examine the relationship between the Ramadan effect and the returns and volatility of the Shariah index in India.FindingsThe results show that the returns during the month of Ramadan as a whole are statistically significant. The results further motivate that its last ten days have high influences than other days over the period. Finally, the study examines the Ramadan effect on volatility by applying GARCH modified models and finds an evidence of Ramadan effect during the first ten days of Ramadan month.Originality/valueThe positive impact of Ramadan increases on the days associated with higher worship intensity. The study provides an important information to the ethical investors to invest in the Shariah stocks during Ramadan days. This information is very useful for the investors to get an abnormal return during the Ramadan days.

Relationship between crime and economic affluence in India: an empirical study from 1982 to 2013

2017 ◽  
Vol 3 (1) ◽  
pp. 27-37 ◽  
Author(s):  
Avijit Debnath ◽  
Sujoy Das
Keyword(s):  
Design Methodology ◽  
Unit Root Test ◽  
Least Square ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Time Period ◽  
Short Run ◽  
The Relationship ◽  
Analyze Data

Purpose There have been limited studies which investigate the interlinkage between crime and economic affluence. The purpose of this paper is to investigate the linkage between crime and economic affluence in India. Design/methodology/approach The study is based on annual data spans over the time period 1982-2013. Standard econometric tools like unit root test, co-integration and two stage least square technique have been used to analyze data and to draw inferences. Findings The study finds that crime and economic affluence are interlinked in India. However, the nature of the linkage is not uniform over the time span. It is observed that economic affluence affects violent crime positively in the long run, but crime effects affluence negatively. In the short run, however, the relationship between crime and economic affluence is observed to be reversed. Originality/value This study is first of its nature to investigate the bi-directional linkage between crime and economic affluence in India. This study helps us to understand that controlling the crime rate is the urgent need of the hour to alleviate the pace of long run economic affluence in India.

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