Validating second-order model for economic welfare scale: evidence from Nigeria

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bashir Kurfi Babangida ◽  
Roslan Abdul Hakim ◽  
Hussin Bin Abdullah
Keyword(s):  
Latent Variable ◽  
Goodness Of Fit ◽  
Second Order ◽  
Economic Welfare ◽  
Fit Indices ◽  
Order Model ◽  
Cross Sectional ◽  
Content Type ◽  
Welfare Losses ◽  
Second Order Model

PurposeThe goal of this paper is to validate the second-order model for the economic welfare scale in the context of violence. This study also aims to assess the relationship between the dimensions of the economic welfare scale’ declining food consumption and loss of income and the overall latent construct and assess the second-order model’s goodness of fit using appropriate fit indices.Design/methodology/approachThe study is cross-sectional with a sample of 600 households from the violent zone, Northwest Nigeria. The data collected was used for confirmatory factor analysis, second-order model evaluation and model fit evaluation.FindingsThe second-order model for the economic welfare scale is valid and reliable; the dimensions significantly affect the formation of the overall construct. The model’s goodness of fit fulfilled the relevant fit indices.Research limitations/implicationsThe study offers researchers and policymakers practical insights into how each dimension influences the latent operational construct. It, therefore, encompasses replication in all the remaining modules.Practical implicationsThe findings offer practical insight to policymakers in designing policies for promoting long-term peace structures and developing mechanisms to assist those who have suffered the greatest economic welfare losses due to violence in Nigeria.Social implicationsThe findings form an essential tool to assess the economic welfare effect in violently affected territories at the micro-level.Originality/valueThe outcomes are ground-breaking by validating the second-order model for the economic welfare scale. And established dimension influences over the overall latent variable.

scholarly journals Validating a second-order model for oil and gas projects’ investment climate scale

2017 ◽  
Vol 11 (1) ◽  
pp. 65-79 ◽  
Author(s):  
Abdulsalam Mas’ud ◽  
Nor Aziah Abd Manaf ◽  
Natrah Saad
Keyword(s):  
Goodness Of Fit ◽  
Oil And Gas ◽  
Second Order ◽  
Fit Indices ◽  
Investment Climate ◽  
Order Model ◽  
Content Type ◽  
Latent Construct ◽  
Climate Scale ◽  
Second Order Model

Purpose The investment climate is one of the key factors considered by foreign investors while deciding their investment destination. This paper aims to attempt at validating the second-order model of oil and gas projects’ investment climate. Examination of the relationship between the dimensions of oil and gas projects’ investment climate; strategy, participants/operating environment and risk/return; and the overall latent construct was conducted. The study also evaluates the goodness of fit of the second-order model using relevant fit indices. Design/methodology/approach Oil and gas experts in Malaysian marginal oil fields subsector were deployed, through whom responses were collected that formed the data set used in the analysis. Then, the data were used for confirmatory factor analysis, evaluation of the second-order model through path analysis and for model fit evaluation. Findings The finding revealed that the second-order model of oil and gas projects’ investment climate is valid and reliable. It also revealed that all the three dimensions, strategy, participants/operating environment and risk/return, have significant effects on the formation of the oil and gas projects’ investment climate. Finally, the goodness of fit of the second-order model satisfied the relevant fit indices. Research limitations/implications The findings present valuable insights to policymakers on the extent of the influence each of the dimensions has on the overall latent construct. The validity and reliability analysis suggests the measurements of the second-order model of oil and gas projects’ investment climate construct, and its dimensions are valid, reliable and fit for future empirical research. Thus, it calls for replication in other oil and gas settings. Originality/value The findings from the results of this study are pioneering. Extant literature falls short in attempting the validation of the second-order oil and gas projects’ investment climate scale, as well as relating each of the dimensions with the overall latent construct.

An evaluation of an integrated perspective of perceived service quality for retail banking services in India

2015 ◽  
Vol 33 (3) ◽  
pp. 330-350 ◽  
Author(s):  
Sanjiv Mittal ◽  
Rajat Gera ◽  
Dharminder Kumar Batra
Keyword(s):  
Service Quality ◽  
Retail Banking ◽  
Second Order ◽  
Order Model ◽  
Banking Services ◽  
Content Type ◽  
Quality Perceptions ◽  
Level Model ◽  
Multi Level ◽  
Second Order Model

Purpose – The purpose of this paper is to extract and validate the dimensions of service quality in retail banking services in India by adopting an integrated and hierarchical perspective of service quality determinants. Design/methodology/approach – The paper empirically validates a parsimonious (multi-dimensional and multi-level) model of service quality in retail banking services in India. The analysis was conducted using structural equation modeling. A hypothesized second-order model was tested and compared with a first-order model of service quality. The dimensions were extracted through exploratory factor analysis and validated through confirmatory factor analysis. Findings – The second-order service quality model was accepted based on parsimony as it consisted of five primary dimensions: Service delivery (describing the efficiency with which the service is provided), tangibles (the quality of physical service environment), reliability (the promise of right service being provided), core service (the attributes and features of the service product) and competence (the capability of employees and systems for providing the service). The second-order model enhances the understanding of the structure of service quality for retail banking services in India. The most important dimension was tangibles, especially the physical environment which facilitates efficient delivery of service. Research limitations/implications – The research provides support for a multi-dimensional second-order model of service quality in retail banking service in India. The results show that customers form perceptions of overall service quality which are reflected by five primary dimensions. The primary dimension of tangibles is the most influential. Practical implications – Organizations need to measure and manage overall service quality perceptions to build trust and reinforce loyalty intentions among their customers. Banks need to adopt a multi-level approach to managing service quality perceptions, i.e. both at the dimensional level and organizational level. Social implications – This study would contribute to the enhancement of service quality outcomes in retail banking services in India which has a crucial role in the economic development. Originality/value – The study proposes and validates a parsimonious and hierarchical model of service quality in the context of retail banking in Indian cultural context. Thus this research provides support to existing knowledge of service quality measurement and management and extends the understanding of its structure by validating the multi-level model in an emerging market context.

Adsorption Kinetics of Pb2+ Ions Using Chitosan Nanoparticles

2013 ◽  
Vol 367 ◽  
pp. 45-49
Author(s):  
Ying Hong ◽  
Ze Hui Zhong ◽  
You Shi Liu
Keyword(s):  
Adsorption Kinetics ◽  
Chitosan Nanoparticles ◽  
Second Order ◽  
Isotherm Model ◽  
Order Model ◽  
Adsorption Characteristics ◽  
Pseudo Second Order ◽  
Kinetics Of ◽  
Second Order Model

Chitosan nanoparticles were prepared by crosslinkingusing TPP. SEM showed that chitosan nanoparticles were successfully obtained.The adsorption characteristics of chitosan nanoparticles were evaluated. Theresults demonstrated that chitosan nanoparticles were suitable for adsorbent toremoval Pb2+. The parameters for the adsorption of Pb2+by chitosan nanoparticles were also determined. It was shown that chitosannanoparticles were fit for Langmuir’s isotherm model and that the adsorptionkinetics of Pb2+ described by the pseudo-second-order model could bebest.

Property rights and investment: the mediating effect of contract enforcement

2017 ◽  
Vol 59 (1) ◽  
pp. 21-34
Author(s):  
Ziade Hailu ◽  
Isaac N. Nkote ◽  
John C. Munene
Keyword(s):  
Property Rights ◽  
Goodness Of Fit ◽  
Addis Ababa ◽  
Mediating Effect ◽  
Mediation Effect ◽  
Contract Enforcement ◽  
Design Data ◽  
Cross Sectional ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to empirically test whether enforceability mediates the relationship between property rights and investment in housing, using data from land formalization project in Addis Ababa, Ethiopia. Design/methodology/approach The study was cross-sectional in design; data were collected from a sample of 210 households that benefited from the recent Addis Ababa city land and buildings formalization project. Confirmatory factor analysis was used to assess the goodness-of-fit of the latent structures underlying the constructs. Mediation was tested using the Baron and Kenny steps, combined with bootstrapping technique. Robustness of results was checked. Findings The results indicate statistically significant mediation effect of contract enforcement. However, the mediation is partial, there is still a substantial direct effect of security of property rights on investment. Practical implications Any initiative to land formalization projects needs to consider contract enforcement environment, as presence and size of property rights effects largely depend on whether those rights are properly enforced. Originality/value This is the first study that conceptualizes the mediating effect of contract enforcement on the relationship between property rights and investment from an African country perspective.

scholarly journals Natural convection of Bingham fluids in rectangular cross-sectional cylindrical annuli with differentially heated vertical walls

2019 ◽  
Vol 29 (1) ◽  
pp. 43-77 ◽  
Author(s):  
Sahin Yigit ◽  
Nilanjan Chakraborty
Keyword(s):  
Boundary Condition ◽  
Nusselt Number ◽  
Natural Convection ◽  
Yield Stress ◽  
Thermal Transport ◽  
Second Order ◽  
Bingham Fluids ◽  
Cross Sectional ◽  
Content Type ◽  
The Mean

PurposeThis paper aims to numerically analyse natural convection of yield stress fluids in rectangular cross-sectional cylindrical annular enclosures. The laminar steady-state simulations have been conducted for a range of different values of normalised internal radius (ri/L1/8 to 16, whereLis the difference between outer and inner radii); aspect ratio (AR=H/Lfrom 1/8 to 8 whereHis the enclosure height); and nominal Rayleigh number (Rafrom 103to 106) for a single representative value of Prandtl number (Pris 500).Design/methodology/approachThe Bingham model has been used to mimic the yield stress fluid motion, and numerical simulations have been conducted for both constant wall temperature (CWT) and constant wall heat flux (CWHF) boundary conditions for the vertical side walls. The conservation equations of mass, momentum and energy have been solved in a coupled manner using the finite volume method where a second-order central differencing scheme is used for the diffusive terms and a second-order up-wind scheme is used for the convective terms. The well-known semi-implicit method for pressure-linked equations algorithm is used for the coupling of the pressure and velocity.FindingsIt is found that the mean Nusselt number based on the inner peripheryNu¯iincreases (decreases) with an increase inRa(Bn) due to augmented buoyancy (viscous) forces irrespective of the boundary condition. The ratio of convective to diffusive thermal transport increases with increasingri/Lfor both Newtonian (i.e.Bn= 0) and Bingham fluids regardless of the boundary condition. Moreover, the mean Nusselt numberNu¯inormalised by the corresponding Nusselt number due to pure conductive transport (i.e.Nu¯i/(Nu¯i)cond) shows a non-monotonic trend with increasingARin the CWT configuration for a given set of values ofRa,Pr,Lifor both Newtonian (i.e.Bn= 0) and Bingham fluids, whereasNu¯i/(Nu¯i)condincreases monotonically with increasingARin the CWHF configuration. The influences of convective thermal transport strengthen while thermal diffusive transport weakens with increasingAR, and these competing effects are responsible for the non-monotonicNu¯i/(Nu¯i)condvariation withARin the CWT configuration.Originality/valueDetailed scaling analysis is utilised to explain the observed influences ofRa,BN,ri/LandAR, which along with the simulation data has been used to propose correlations forNu¯i.

An empirical study of the antecedents and consequences of brand engagement

2015 ◽  
Vol 33 (4) ◽  
pp. 575-591 ◽  
Author(s):  
Ho Yin Wong ◽  
Bill Merrilees
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Fit Indices ◽  
Brand Performance ◽  
Content Type ◽  
Explanatory Variables ◽  
Brand Engagement ◽  
Consumer Perspective ◽  
Antecedents And Consequences ◽  
New Perspective

Purpose – The purpose of this paper is to develop and empirically test a model of brand engagement. More specifically, the aim is to evaluate both antecedents and consequences of brand engagement, from a management perspective. Design/methodology/approach – A quantitative survey of 403 firms is undertaken to test the model. Structural equation modelling (SEM) is used to estimate the parameters of the model. Findings – A reliable and valid measure of brand engagement is established. The SEM model works well, in terms of goodness of fit indices. The results demonstrate that there are major brand performance benefits (consequences) of brand engagement. Additionally, and important for the practical implications, the results show that brand orientation is a major antecedent to brand engagement. Research limitations/implications – The study needs to be replicated in other countries, with scope to add other explanatory variables for influencing brand engagement. The results have considerable practical benefits for guiding the introduction of measures to enhance brand engagement. Originality/value – The study builds on earlier (mainly consumer) conceptual approaches to brand engagement, but goes further in that it provides empirical evidence about the nature, antecedents and consequences of brand engagement and further, offers a management rather than consumer perspective. Essentially, the study reveals a new perspective of factors that encourage firms to connect/engage their brands with consumers. Brand engagement is a dual concept, reflecting both a consumer and a firm perspective.

Polyaniline/ZnO nanocomposites for the removal of methyl orange dye from waste water

2018 ◽  
Vol 32 (19) ◽  
pp. 1840085 ◽  
Author(s):  
Neha V. Nerkar ◽  
Subhash B. Kondawar ◽  
Snehal Kargirwar Brahme ◽  
Yun Hae Kim
Keyword(s):  
Waste Water ◽  
Methyl Orange ◽  
Adsorption Mechanism ◽  
Second Order ◽  
Pure Pani ◽  
Time Interval ◽  
Order Model ◽  
Vis Spectroscopy ◽  
Pseudo Second Order ◽  
Second Order Model

In this paper, we report the safe removal of methyl orange (MO) dye from aqueous solution using chemical interaction of dye molecule with polyaniline/zinc oxide (PANI/ZnO) nanocomposite. PANI/ZnO nanocomposite has been prepared by in situ polymerization. PANI/ZnO nanocomposite was found to be the best promising candidate for adsorption of dyes due to more porosities compared to that of pure PANI. In the present investigation, PANI/ZnO nanocomposite was mixed in a solution of MO dye and used for adsorption process. Color removal was studied using UV-Vis spectroscopy and the spectra were recorded for specific time interval and validation of kinetic model has been applied. Absorbance of PANI/ZnO nanocomposite was found to be increased as compared to that of pure ZnO nanoparticles and pure PANI due to synergistic effect. Comparatively, the removal of dye was also found to be more by using PANI/ZnO nanocomposites. In order to evaluate kinetic mechanism the pseudo-first-order model, pseudo-second-order model and intraparticle diffusion models were verified by the linear equation analysis. Adsorption mechanism of pseudo-second-order model was systematically explained for removal of dye using PANI/ZnO nanocomposite. The results clearly demonstrated that the adsorption mechanism gives very novel and green method of removal of hazardous dyes from waste water.

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