Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model

Barroso, Carmen; Cepeda‐Carrión, Gabriel; Roldán, José L.

doi:10.1007/978-3-540-32827-8_20

Cited by 237 publications

(195 citation statements)

References 47 publications

Supporting

Mentioning

174

Contrasting

Unclassified

Order By: Relevance

“…PLS simultaneously allows assessment of the reliability and validity of the measures of theoretical constructs and estimation of the relationships between these constructs [96]. We chose PLS for two reasons.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Absorptive Capacity on Green Customer Capital under an Organizational Unlearning Context

et al. 2018

View full text Add to dashboard Cite

Environmental management is becoming increasingly important within organizations and forms an essential part of their strategies. As customers are more concerned with the care of the environment, companies are required to be more aware of their actions. Consequently, companies must ignore their historical mindsets and assumptions to be able to adopt green-oriented practices and processes. Our specific research questions are: (i) How can firms become (more) green-oriented? and (ii) how can knowledge-based organizational capabilities drive this shift into greener companies, which may enhance green customer capital? The research model describes how the complementary roles of absorptive capacity (direct effect) and the fostering of an organizational unlearning context (moderating effect) affects green customer capital within the Spanish automotive component manufacturing sector. Empirical results reveal that to create green customer capital, companies should absorb new knowledge and build a context of organizational unlearning. In today's competitive environment, knowledge rapidly becomes obsolete, so companies need to encourage unlearning to make space for new knowledge that meets environmental needs and keeps pace with changing customer preferences. The research hypotheses were tested using partial least squares (PLS) path-modeling.

show abstract

Section: Discussionmentioning

confidence: 99%

The Effect of Absorptive Capacity on Green Customer Capital under an Organizational Unlearning Context

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Measures not meeting the requirements were eliminated from analysis. A commonly accepted minimum threshold for loadings is 0.707 which technically implies more shared variance between the constructs and its measures than error variance (Hulland, 1999;Barroso et al, 2010;Gotz et al, 2010). In cases where new items for newly developed scales are employed, it is common to have several items in an estimated model with loadings measuring less than the threshold.…”

Section: Model Evaluation Resultsmentioning

confidence: 99%

“…A SEM model facilitates the evaluation of the measurement and structural models in a single systematic and comprehensive analysis (Gefen et al, 2000;Barroso et al, 2010). This allows measurement errors of the observed variables to be analyzed as an integral part of the model and factor analysis to be combined in one operation with the hypothesis testing (Gefen et al, 2000).…”

Section: Abdul and Wang'ombementioning

confidence: 99%

Tax costs and tax compliance behaviour in Kenya

Abdul¹,

Wangâ€TMombe²

2018

J. Account. Taxation

View full text Add to dashboard Cite

This study examines the influence of measures of tax compliance costs on tax compliance behaviour among medium and large corporate taxpayers in Kenya. It uses a Structural Equation Modelling (SEM) technique to establish the key cost drivers built using survey data, while controlling for key attributes of the tax system as well as firm characteristics. The results indicate that tax compliance in Kenya significantly declines with increase in tax compliance costs, particularly those related to understanding of the existing complex tax laws, changes in tax rules as well as general costs of meeting the compliance and regulatory requirements. The model constructs account for about 40% of variations in tax compliance behaviour in Kenya, which is above the empirically accepted minimum for exploratory studies. From the results, the study recommends a focus by tax authority and policymakers on measures to reduce these identified tax compliance costs. In addition, greater emphasis should be put on investing in opportunities that reduce financial pressure on firms thus encouraging tax compliance.

show abstract

“…The SEM method enables to represent reality through complex models, by doing a multiple regression analysis between latent variables (Barroso, Cepeda, & Roldán, 2010). These models are the conjunction of three techniques: 1) generalization of the traditional factorial model to the multivariate case; 2) path analysis and; 3) simultaneous equation models used in economics (Agdas, Washington, Ellis, Agdas, & Dickrell, 2014).…”

Section: Structural Equations and Partial Least Squarementioning

confidence: 99%

“…In order to verify the discriminant validity, AVE should be greater than variance shared between a construct and other constructs in the model (the squared correlation between two constructs) (Barroso et al, 2010). Discriminant validity coefficients show that all constructs were more strongly correlated with their own measures, than with any other of the constructs, suggesting good discriminant validity.…”

Section: Discriminant Validitymentioning

confidence: 99%

Modeling the performance impacts caused by an earthquake to the construction industry: Case study on the 2010 Chile earthquake

Forcael

González

Opazo

et al. 2017

rdlc

View full text Add to dashboard Cite

Natural disasters affect the construction industry in many ways other than the direct damages. This paper presents a model that evaluates the performance impacts caused by an earthquake to the construction industry by using the 2010 Chilean earthquake as case study. The main variables affected by a seismic event in construction companies and their relationships were modeled by means of the use of Partial Least Square (PLS). The modeling framework was developed by interviewing CEOs of construction companies located in areas affected by the earthquake. Then, a model of interrelationships, which would explain how variables are affected by an earthquake was developed. The main findings showed that when a severe telluric event occurs, the two most affected factors were Relationship with the Owner/Clients and Image, while the most affected indexes were Owner/Client Satisfaction and Financial Situation. Thus, this research emphasizes the importance of these four variables (factors and indexes), when the construction industry faces a large earthquake.Key words: Modeling, Partial Least Squares (PLS), earthquake, construction industry, Chile. ResumenLos desastres naturales afectan a la industria de la construcción de muchas maneras distintas más allá de los daños directos. Este artículo presenta un modelo que evalúa los impactos en el desempeño, causados por un terremoto a la industria de la construcción, utilizando el terremoto ocurrido en Chile el año 2010 como caso de estudio. Se modelaron las principales variables afectadas por un evento sísmico en las empresas constructoras y sus relaciones, por medio del uso de Mínimos Cuadrados Parciales. El marco bajo el cual se desarrolló la modelización, fue mediante entrevistas a directores generales de empresas constructoras, ubicadas en zonas afectadas por el terremoto. Luego, se desarrolló un modelo de interrelaciones que explicaría cómo las variables se ven afectadas por un terremoto. Los principales hallazgos muestran que cuando se produce un evento telúrico severo, los dos factores más afectados son Relación con el Mandante/Cliente e Imagen, mientras que los índices más afectados fueron Satisfacción del Mandante/Cliente y Situación Financiera. Por lo tanto, esta investigación destaca la importancia de estas cuatro variables (factores e índices), cuando la industria de la construcción se ve enfrentada a un terremoto de gran magnitud.

show abstract

Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model

Cited by 237 publications

References 47 publications

The Effect of Absorptive Capacity on Green Customer Capital under an Organizational Unlearning Context

The Effect of Absorptive Capacity on Green Customer Capital under an Organizational Unlearning Context

Tax costs and tax compliance behaviour in Kenya

Modeling the performance impacts caused by an earthquake to the construction industry: Case study on the 2010 Chile earthquake

Contact Info

Product

Resources

About