scholarly journals How the Mission Internalization Works? An Empirical Research

2020 ◽  
Vol 7 (1) ◽  
pp. 1-27
Author(s):  
Marta Mas-Machuca ◽  
◽  
Frederic Marimon
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Mission Statement ◽  
The Other ◽  
Fit Indices ◽  
Initial Model ◽  
Five Dimensions ◽  
Equation Modelling ◽  
Lagrange Multiplier Tests ◽  
The One

The objective of this paper is to analyse the process of the definition and deployment of a company’s mission, to obtain a better understanding of the employees’ role. On the basis of the literature investigating the dimensions of the internalization of a mission (leadership, importance, knowledge, co-workers’ engagement and implication), the paper proposes a model that shows the cause and effect relationships among these dimensions. A survey addressed to Spaniards was launched, and 400 valid responses were received. The data was analysed using Structural Equation Modelling (SEM) for an initial model that shows the causal relations among the dimensions for the internalization of a mission. An array of Lagrange multiplier tests suggested modifications for refining the model and proposed one with acceptable fit indices, where the last dimension to be accomplished is “Implication”. The findings show a direct effect between “Leadership” and “Implication”, and double mediation. On the one hand, there is second order mediation through “Knowledge” and “Importance”. On the other hand, there is mediation through “Co-workers’ engagement”. This sequencing among the five dimensions of the internalization of the mission gives new clues and evidence for managers that will help them to define and implement a successful mission statement.

The Antecedents of Word-of-Mouth Behaviour

2014 ◽  
pp. 185-202
Author(s):  
Ho Yin Wong ◽  
Anthony Perrone
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Point Of View ◽  
Service Performance ◽  
Fit Indices ◽  
Equation Modelling ◽  
Post Purchase

The aim of this study is to undertake empirical research investigating the nature and magnitude of the determinants of word-of-mouth behaviour from the point of view of service performance and post-purchase perceptions. A quantitative study was undertaken. A theoretical model linking service quality issues and word-of-mouth behaviour was developed and tested using structural equation modelling of 280 surveyed participants at various day spa locations. All major fit indices from structural equation modelling methods show satisfactory results for the measurement and structural models. The results confirm significant relationships between the constructs in the model. While the quality of the product, customer service, and servicescape atmosphere lead to customer satisfaction, it is servicescape atmosphere and customer satisfaction that drive word-of-mouth behaviour. The results of this study provide insights to aid service providers and marketing professionals in the service industry in fully understanding that the enhancement of the delivery of high quality service, an accommodating environment, and instilling feelings of satisfaction with their customers will more likely lead to positive word-of-mouth referrals. One major limitation is that the survey was conducted within one industry in one country. The major value of this chapter is the establishment of the role of service quality on word-of-mouth behaviour. This research provides empirical results of the impacts of service performance and post-purchase perceptions on word-of-mouth behaviour.

scholarly journals Structural Equation Modelling applied to proposed Statistics Attitudes-Outcomes Model: A case of a University in South Africa

2016 ◽  
Vol 8 (5(J)) ◽  
pp. 222-239
Author(s):  
Bokang Ncube ◽  
Ntebogang Dinah Moroke
Keyword(s):  
South Africa ◽  
Undergraduate Students ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
First Year ◽  
Fit Indices ◽  
Expectancy Value ◽  
Equation Modelling ◽  
Significant Loading ◽  
Value Model

The purpose of the study is to investigate the structural relationships among constructs of the statistics attitudes-outcomes model (SA-OM) using exploratory structural equation modelling (ESEM) methodology. The sample consists of 583 first-year undergraduate students enrolled for statistics courses at the university in South Africa. ESEM reveal that all but two of the nine constructs have well to excellent reliability. To enhance the model, we deleted the eight variables. All other indicators have a significant loading into a construct. Congruency of the SA-OM and expectancy value model (EVM) is noted. The SRMR for all modified models are less than 0.10 suggesting that all these models have acceptable fit. Moreover, all the modified models have RMSE values within the ranges of adequate fit. On the contrary, all the models have unacceptable fit according to PCF, CFI, AGFI and PGFI statistics, i.e. according to all parsimony fit indices except the RMSE. The results also reveal that all incremental fit indices but the BBNFI approve the modified models as acceptable since most of these indices are almost equal to a cut-off point of 0.9. However, BBNNI disapprove the ML3 and ML5 models as being acceptable. A host of inconsistencies in fit indices are noted.

scholarly journals Driving locus of control: The Czech adaptation

2021 ◽  
Vol 65 (1) ◽  
pp. 86-100
Author(s):  
Vít Gabrhel ◽  
◽  
Stanislav Ježek ◽  
Petr Zámečník
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Factor Model ◽  
One Dimensional ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
The One

Objectives. This study attempts to introduce the Driving Locus of Control (DLoC), a method focused on the internal or external source of attribution of the driving behaviour, to the Czech context. This study also relates DLoC to attitudes towards autonomous vehicles (AVs). Participants and setting. Out of the general population, 59 inquirers personally interviewed (CAPI) 1 065 respondents (49% women) in the age range between 15 and 92 years (M = 50, SD = 17). The respondents were sampled via multistage random sampling procedure, based on the list of addresses in the Czech Republic. Hypotheses. The authors hypothesised to replicate the original two-factor structure of the DLoC Scale and that the higher levels of internal DLoC result in not considering the improvement in traffic safety as the AVs replace human drivers. Statistical analysis. Confirmatory factor analysis was used to analyse the factor structure of DLoC Scale. Hypotheses related to the empirical validity of the method were assessed via structural equation modelling. The reliability of DLoC Scale was calculated in terms of internal consistency (McDonald coefficient). Results. Confirmatory factor analysis revealed reasonably good support for structural validity of the one-dimensional DLoC-CZ15 factor model (χ2 = 426.967, df = 90, CFI = 0.964, TLI = 0.958, SRMR = 0.066, RMSEA = 0.065). In addition, the one-dimensional DLoC-CZ15 factor model showed acceptable internal consistency - ω = 0.9 (95% CI [0.89, 0.91]). The structural equation modelling found a relationship between DLoC and some of the items capturing attitudes towards AVs, too. Study limitations. The analysed data were obtained via interviews between respondents and inquirers. As a result, the study does not contain indicators of empirical validity measured by a methodologically different approach, such as an observation of driving behaviour.

scholarly journals Integration of Travel Agencies with other Supply Chain Members: Impact on Efficiency

2016 ◽  
Vol 7 (1) ◽  
pp. 1-17
Author(s):  
Darja Topolšek ◽  
Dejan Dragan
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Supply Chains ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
The Other ◽  
Data Envelopment ◽  
Operational Costs ◽  
Equation Modelling ◽  
Travel Agencies

Abstract The performance of tourism supply chains depends on the efficiency of all members involved, including the travel agencies. The paper addresses the analysis of relationships between the agencies’ external integration with other supply chain members on one side, and the efficiency of the agencies on the other. The data envelopment analysis is applied for the estimation of efficiencies, while the structural equation modelling (SEM) is conducted for identification of possible integration impacts on the efficiency. Results show that integration with other supply chain members indeed has some positive impacts on the agencies’ efficiency. Also, the developed SEM model implies that in-depth forms of collaboration would enable more effective exploitation of the identified relations between the integration and efficiency of the agencies. This finding could be an important guideline for the agencies’ management in the sense of achieving more satisfied customers and bigger profits, as well as reduced operational costs.

scholarly journals Application of fit indices in testing the theoretical models in psychology: Possibilities and limitations

2008 ◽  
Vol 40 (1) ◽  
pp. 101-121 ◽  
Author(s):  
Ljiljana Lazarevic
Keyword(s):  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Data Distribution ◽  
Theoretical Models ◽  
Fit Indices ◽  
Basic Assumptions ◽  
Equation Modelling ◽  
Insight Into ◽  
Size Data

This paper deals with the fit indices used in Structural Equation Modelling (SEM) for testing theoretical models and the difficulties that can occur during the testing of theoretical models in different fields of psychology. The paper discusses the basic assumptions of SEM and presents the indices used for assessing the fit of theoretical models. This paper also presents the procedures for calculating the basic statistic for assessing the fit of models (?2), as well as for calculating the most commonly used fit indices, in order to gain a better insight into the advantages and potential difficulties that can occur during their usage. We mention the difficulties regarding the assessment of fit of the model based on ?2 and the discussed fit indices stemming from the sample size, data distribution and assessment methods, wrong specification of model and disturbance of normality and independence of latent variables, as well as the ways in which these difficulties can be overcome. This paper provides a proposal for the approach to presenting the fit indices in reports on studies where theoretical models were tested via SEM.

scholarly journals Measuring social well-being in Africa: An exploratory structural equation modelling study

2021 ◽  
Vol 3 ◽  
Author(s):  
Itumeleng P. Khumalo ◽  
Ufuoma P. Ejoke ◽  
Kwaku Oppong Asante ◽  
Janvier Rugira
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Social Acceptance ◽  
Short Form ◽  
Well Being ◽  
Five Dimensions ◽  
Psychological Constructs ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
African Context

The study investigated the factor structure of the 15-item social well-being scale in an African context. Social well-being is categorised into five dimensions: social integration, social contribution, social coherence, social actualisation and social acceptance. Data were collected from 402 participants in South Africa (50% male, average age of 21 years). Confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM) were conducted in Mplus (version 8.1), on the 15-item measure. Results showed advantages of ESEM’s flexibility, through which an unstable emic four factor solution emerged. For such complex multidimensional psychological constructs measured in novel contexts, ESEM is best suited for exploring factorial validity. Although the present study’s findings should have implication for theory, future studies should further explore social well-being measurement using the long- and short-form instruments in diverse African samples.

scholarly journals Comparative Performance of Estimation Maximization Among Residual Estimators: A Structural Equation Modelling Perspective

2021 ◽  
Vol 10 (2) ◽  
pp. 138
Author(s):  
A. R. Abdul-Aziz ◽  
Albert Luguterah ◽  
Bashiru I. I. Saeed
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Model ◽  
Regression Method ◽  
Model Fit ◽  
The Other ◽  
Parameter Estimates ◽  
Comparative Performance ◽  
Equation Modelling ◽  
Comparative Model

As the concept of methodology has advanced, varied methods of estimating residuals have been developed including regression method, Bartlett’s method and Anderson-Rubin’s method. The study utilized estimation maximization approach together with other methods of estimating residuals under the structural equation model. The results showed that the strength of the existing methods in structural equation modelling are the weaknesses of the estimation maximization method, and vice versa. It was, therefore, found that from the comparative model fit information that the Bartlett’s based method gave better residual parameter estimates compared to the Regression based and the Anderson Rubin based methods. However, the estimation maximization method gave better residual parameter estimates than the other three existing methods; the Regression, Bartlett’s and the Anderson Rubin based methods.

Moral Judgements of Junior Sports Sponsorships: An Emerging Mediator of Sponsor Goodwill

2021 ◽  
pp. 183933492110616
Author(s):  
Lenny Vance ◽  
Maria M. Raciti ◽  
Meredith Lawley
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Moral Dilemma ◽  
The Other ◽  
Outcome Variable ◽  
Contentious Issue ◽  
Community Interest ◽  
Equation Modelling ◽  
Moral Judgements ◽  
The One

The sponsorship of junior sport is a contentious issue with community concerns raised about the appropriateness of some marketing targetted at children. Parents and coaches are guardians of junior sports players and often faced with a moral dilemma. On the one hand they know sponsors, who are trying to generate goodwill through providing financial or in-kind support, are crucial to the affordability of junior sports when competition for securing sponsorships is intense. On the other hand, they hold concerns that some sponsors may exploit their access to these young, vulnerable players. Guardians are caught at a crossroads with equally undesirable alternatives—financially unviable junior sports without sponsors or junior sports with potentially exploitative sponsors. Our study fills a gap in the literature where the tensions of commercial sponsorship agendas and moral concerns in sponsorship has not been well explored with our study being the first to apply the construct of moral judgements in a sponsorship model. Mixed methodology is used to examine the role that moral judgements play in determining sponsor goodwill. A qualitative study ( n = 18) informed an online survey ( n = 306) of Australian junior sports guardians. Structural equation modelling revealed that guardians’ moral judgements mediated the relationships between sponsor fit, perceived sponsor altruism and the outcome variable, sponsorship goodwill. The findings of this study extend scholarly understanding of consumers’ appraisal of sponsorships and provide useful insights to guide practitioners in sponsorship decision making, particularly in contexts that stimulate community interest or concerns.

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