Polynomial fitting of nonlinear sources with correlating inputs

2014 ◽  
Vol 33 (4) ◽  
pp. 1097-1106 ◽  
Author(s):  
Janne P. Aikio ◽  
Timo Rahkonen ◽  
Ville Karanko
Keyword(s):  
Harmonic Balance ◽  
Design Methodology ◽  
Least Square ◽  
Polynomial Fitting ◽  
Nonlinear Source ◽  
Content Type ◽  
Chebychev Polynomials ◽  
Higher Order Spectra ◽  
Optimization Loop ◽  
Amplitude Normalization

Purpose – The purpose of this paper is to propose methods to improve the least square error polynomial fitting of multi-input nonlinear sources that suffer from strong correlating inputs. Design/methodology/approach – The polynomial fitting is improved by amplitude normalization, reducing the order of the model, utilizing Chebychev polynomials and finally perturbing the correlating controlling voltage spectra. The fitting process is estimated by the reliability figure and the condition number. Findings – It is shown in the paper that perturbing one of the controlling voltages reduces the correlation to a large extend especially in the cross-terms of the multi-input polynomials. Chebychev polynomials reduce the correlation between the higher-order spectra derived from the same input signal, but cannot break the correlation between correlating input and output voltages. Research limitations/implications – Optimal perturbations are sought in a separate optimization loop, which slows down the fitting process. This is due to the fact that each nonlinear source that suffers from the correlation needs a different perturbation. Originality/value – The perturbation, harmonic balance run and refitting of an individual nonlinear source inside a device model is new and original way to characterize and fit polynomial models.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

scholarly journals The investigation of the effects of spiritual values and behaviors on business development and performance of Muslim preneurship

2018 ◽  
Vol 60 (2) ◽  
pp. 730-740
Author(s):  
Mahyarni Mahyarni ◽  
Astuti Meflinda ◽  
Henni Indrayani
Keyword(s):  
Design Methodology ◽  
Partial Least Square ◽  
Least Square ◽  
Spiritual Values ◽  
Content Type ◽  
Data Processing Method ◽  
The Future ◽  
West Sumatra ◽  
And Performance ◽  
Pls Method

Purpose This paper aims to determine the effect between variables and formulate policies related to Muslim business preneurship in the future. Design/methodology/approach Partial least square (PLS) data processing method is used is this study. Findings The result shows that Muslim preneurship spiritual values will lead to an increase in Muslim preneurship behaviors in running a business on society and performance on society. Indonesian people realize that Muslim preneurship development at the present time cannot be separated from the development of small- and medium-sized enterprises spread throughout the country. Originality/value The PLS method that was applied to determine the effect between variables and formulate policies related to Muslim businesses preneurship in the future. This research location was Riau and West Sumatra, Indonesia, and the variables were spiritual values and behavioral and developmental Muslim business preneurship.

Influence of remittances oncapital endowment of Tibetan refugees in India

2019 ◽  
Vol 18 (3) ◽  
pp. 290-309
Author(s):  
Tenzin Namgha ◽  
Ganesh L. ◽  
Amalendu Jyotishi
Keyword(s):  
Social Capital ◽  
Design Methodology ◽  
Least Square Method ◽  
Least Square ◽  
Living Standard ◽  
Content Type ◽  
Ordinary Least Square ◽  
Left Behind ◽  
Tibetan Refugees ◽  
Capital Development

PurposeAn issue concerning Tibetan refugees in India is the poverty and unemployment among Tibetan youth. This often leads to households adopting a strategy of sending one of its members abroad towards North American or European countries in search of better income opportunities. Incomes in the form of remittances from these forward migrants have numerous impacts on living standard of left behind families. This study aims to focus on the influence of forward migrant’s remittances on livelihood in terms of human, financial and social capital development of Tibetan refugees in India.Design/methodology/approachThe paper includes 400 households from high-economic and low-economic-access regions of Tibetan settlements in India. Ordinary least square method was used to study these impacts.FindingsFindings show that remittances have significantly influenced human and financial capital development. However, it was found to be statistically not significant for social capital development.Originality/valueThe present paper is original work.

Estimating the price of apartments in Tehran using extracted compound variables

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Javad Koohpayma ◽  
Meysam Argany
Keyword(s):  
Design Methodology ◽  
House Price ◽  
Housing Price ◽  
Least Square ◽  
Hedonic Method ◽  
Content Type ◽  
Ordinary Least Square ◽  
Different Types ◽  
High Inflation ◽  
Practical Implications

Purpose Housing price is a barometer of a national economy. In recent years, Iran experienced high inflation in its economy, which affects everything, including housing. The purpose of this study is the estimation of the value of residential apartments of Tehran using ordinary least square (OLS) and geographically weighted regression (GWR) methods. Design/methodology/approach This paper proposed a method for determining the compound variables and used them to estimate and evaluate the prices in the district six of Tehran city. Also, this paper compared the GWR and OLS methods with different types of factors and their influences in house price estimations. Findings During the high inflation period of the study period, the age of buildings, inflation, parking, storage room and their locations are the most critical factors that affect the price of apartments in district six of Tehran. Besides, compound variables have the most influence on the prediction of the prices. Research limitations/implications The exact location of the apartments in the study area were unknown. Therefore, the positions are extracted from their addresses. The uncertainty of location forced us to ignore the neighborhood terms in the hedonic method. Practical implications The exact locations of the apartments in the study area were unknown. Therefore, the positions are extracted from their addresses. The uncertainty of location forced us to ignore the neighborhood terms in the hedonic method. Originality/value The originality of the proposed method is that it used a different approach to determine the valid variables of the apartment prices. Also, the evaluation of the method showed that the proposed variables are significantly useful.

Social loafing in group-based learning: student-created and instructor-created group perspectives

2020 ◽  
Vol 62 (4) ◽  
pp. 483-501
Author(s):  
Rajesh Rajaguru ◽  
Roshni Narendran ◽  
Gayathri Rajesh
Keyword(s):  
Design Methodology ◽  
Educational Achievement ◽  
Partial Least Square ◽  
Least Square ◽  
Disruptive Behaviour ◽  
Social Loafing ◽  
Work Quality ◽  
Content Type ◽  
Group Members

PurposeSocial loafing is a key inhibitor in group-based student learning and is a key challenge in administering group-based assessments in higher education. This study examines differences in the effects of antecedents of social loafing (disruptive behaviour, social disconnectedness and apathy) on work quality by comparing student-created and instructor-created groups. The study also investigates how group members' efforts to “pick up the slack” of social loafers in the two kinds of groups moderate the effect of antecedents of social loafing on work quality.Design/methodology/approachPost-graduate students from two different sessions of the Marketing Management unit participated in the study: 95 students from session 1 and 90 students from session 2. One session represented student-created groups and the other session represented instructor-created groups. Each group consisted of five students. Partial Least Square (PLS) estimation using SmartPLS was used to assess the direct and interaction effects.FindingsThe results indicate differences in the effects of the antecedents of social loafing such as apathy and disruptive behaviour on work quality for both student-created and instructor-created groups. Social disconnectedness was found to have no significant effect on work quality. Interestingly, the study found significant differences in the effects of “pick up the slack” on the work quality of student-created and instructor-created groups. Members of student-created groups who picked up the slack of social loafers improved the work quality for unit assessment. This effect was not significant for instructor-created groups.Originality/valueExtant literature on social loafing predominantly focusses on its effect on students' work quality and educational achievement. This study contributes to the literature by investigating how the student-created and instructor-created group members' efforts to pick up the slack of social loafers moderate the effects of the antecedents of social loafing on work quality.

Three weighted residual methods based on Jeffery-Hamel flow

2014 ◽  
Vol 24 (3) ◽  
pp. 654-668 ◽  
Author(s):  
D.D. Ganji ◽  
Mohammad Hatami
Keyword(s):  
Analytical Methods ◽  
Design Methodology ◽  
Least Square Method ◽  
Numerical Approach ◽  
Least Square ◽  
The Other ◽  
Governing Equations ◽  
Science And Engineering ◽  
Content Type ◽  
Linear Differential

Purpose – The purpose of this paper is to demonstrate the eligibility of the weighted residual methods (WRMs) applied to Jeffery-Hamel Flow. Selecting the most appropriate method among the WRMs and discussing about Jeffery-Hamel flow's treatment in divergent and convergent channels are the other important purposes of the present research. Design/methodology/approach – Three analytical methods (collocation, Galerkin and least square method) have been applied to solve the governing equations. The reliability of the methods is also approved by a comparison made between the forth order Runge-Kutta numerical method. Findings – The obtained solutions revealed that WRMs can be simple, powerful and efficient techniques for finding analytical solutions in science and engineering non-linear differential equations. Originality/value – It could be considered as a first endeavor to use the solution of the Jeffery-Hamel flow using these kind of analytical methods along with the numerical approach.

An analysis of sustainability report assurance statements

2017 ◽  
Vol 32 (6) ◽  
pp. 578-602 ◽  
Author(s):  
Adriana Rossi ◽  
Lara Tarquinio
Keyword(s):  
Design Methodology ◽  
Least Square ◽  
Legitimacy Theory ◽  
Content Type ◽  
Ordinary Least Square ◽  
Assurance Services ◽  
Higher Rank ◽  
Corporate Social ◽  
Sustainability Report ◽  
Theory Framework

Purpose This paper aims to achieve the following objectives. First, through a longitudinal study, the authors explore the trend of voluntary external assurance of sustainability reports among Italian listed companies from 2008 to 2012. Thus, the authors aim to analyse the content level of the assurance statements and to test whether it is affected by certain corporate variables and by the type of practitioner chosen. Design/methodology/approach A legitimacy theory framework is adopted to investigate the phenomenon of sustainability report assurance services in Italy. The authors developed an assurance statement disclosure index (ASDI) constructed on the basis of the standards ISAE 3000 and AA1000AS. Thus, the authors tested whether the ASDI is affected by certain corporate variables using an ordinary least square (OLS) regression model. To test how each specific item is related to the assurance provider, a contingency table was developed. Findings The results of this paper show many differences in the assurance statements content in particular with reference to the criteria used, conclusive comments and recommendations. The presence of a corporate social responsibility committee and an expert who serves on it is positively related to a higher rank on the ASDI. In contrast, Big4 firms seem to be associated with a lower disclosure rank. Finally, Big4 are positively associated with the indications of the provider’s characteristics and negatively with their conclusive comments and recommendations. Originality/value This paper presents some findings in an area where little evidence exists, that is, the effects of some variables on the quantity of information disclosed in the assurance statements.

The impact of PHTPS on trip quality, trip value, satisfaction and word of mouth

2019 ◽  
Vol 11 (6) ◽  
pp. 1517-1538
Author(s):  
Mohamed Battour ◽  
Muhammad Khalilur Rahman ◽  
Md. Sohel Rana
Keyword(s):  
Design Methodology ◽  
Word Of Mouth ◽  
Partial Least Square ◽  
Theory And Practice ◽  
Least Square ◽  
Tourism Destination ◽  
Content Type ◽  
Four Dimensions ◽  
The Impact

Purpose The study aims to determine the impact of non-Muslim tourists’ perception of halal tourism products and services (PHTPS) on trip quality, trip value, satisfaction and word of mouth (WOM) towards halal tourism destination. Design/methodology/approach A total of 375 non-Muslim tourists were surveyed in Malaysia using partial least square technique. Findings The findings showed that PHTPS has a significant impact on all four dimensions. The strongest relationship was found between PHTPS and trip quality, followed by PHTPS–WOM, PHTPS–satisfaction and PHTPS–trip value. Originality/value This study provides new insights into the theory and practice of non-Muslim tourists’ PHTPS and WOM towards halal tourism destination. The findings are valuable to tourism operators, managers and marketers with the understanding and responsibility to develop halal tourism products and services from non-Muslim tourists’ insights.

Is Giffen behaviour compatible with residential demand for cooking gas and kerosene?

2019 ◽  
Vol 13 (1) ◽  
pp. 45-59
Author(s):  
Damilola Felix Arawomo
Keyword(s):  
Instrumental Variables ◽  
Design Methodology ◽  
Tertiary Education ◽  
Least Square ◽  
Content Type ◽  
Ordinary Least Square ◽  
Education Demand ◽  
Ondo State ◽  
Residential Demand ◽  
Practical Implications

Purpose This paper aims to examine the compatibility of Giffen behaviour with residential demand for kerosene and cooking gas. Design/methodology/approach In total, 600 questionnaires were administered on selected households in Ondo State while 485 were retrieved. Both ordinary least square and instrumental variables (IVs) were estimated, while, the IV estimated result was preferred. Findings The result showed that Giffen behaviour is compatible with the demand for kerosene in Ondo State, but not for cooking gas. As regard to other factors, prices of the alternatives to kerosene and cooking gas have positive but insignificant impact on the demand for the respective products. Age of the household has a positive significant impact on the demand for kerosene and cooking gas. Household in which the heads has tertiary education demand for kerosene and cooking gas more than those without any form of education. Larger households consume more of both commodities than smaller households. Research limitations/implications Based on these findings, the authors recommend that government should continue to subsidize either the production or consumption of household kerosene. Practical implications Consumers should not mind the initial expenditure in purchasing cylinder for cooking gas as subsequent expenditure would be lower than that of kerosene. Social implications Regulators should brace to ensure that kerosene and cooking gas be made available at government-regulated prices, particularly by checkmating the activities of the “black-marketers.” Originality/value Two outstanding knowledge gaps that this paper filled are in the novelty of this paper regarding the application of Giffen behaviour to kerosene and cooking gas. Second, previous studies did not account for the potential endogeneity problem that is inherent in the joint demand for kerosene and cooking gas. This paper took care of this by estimating the model using IVs.

What drives the boom in outward FDI from India?

2020 ◽  
Vol 15 (5) ◽  
pp. 899-922 ◽  
Author(s):  
Munmi Saikia ◽  
Khanindra Ch. Das ◽  
Saundarjya Borbora
Keyword(s):  
Prior Knowledge ◽  
Design Methodology ◽  
Probit Model ◽  
Least Square ◽  
Stage Model ◽  
Outward Fdi ◽  
Two Stage ◽  
Content Type ◽  
Ordinary Least Square ◽  
Stage Process

PurposeThe Indian economy has experienced a boom in outward FDI (OFDI) in 2006. The study aims at exploring the factors that drive the boom in OFDI of Indian firms.Design/methodology/approachThe participation of a firm in OFDI is a two-stage process -first, the decision to internationalization and second, how much to invest. We employ a two-stage model to decompose the effects on the decision to internationalization from effects on how much to invest. The two-stage model has the advantage of allowing us to estimate separately the probability of internationalization by a firm – Pr(OFDI > 0) – and the expected volume of investment, E(OFDI|OFDI > 0). The former is estimated by the probit model and the latter is estimated by the ordinary least square model.FindingsThe study finds that prior experience and institutional advantage can strongly drive the internationalization of Indian multinationals. The study also examines the relative importance of two aspects of prior knowledge – length of prior knowledge and depth of prior knowledge on OFDI of Indian firms. The study finds that the depth of prior knowledge is a must influential driver of OFDI in comparison to its length.Originality/valueThe present study is a novel attempt to investigate, ‘What drives the boom in OFDI from India?’

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