An Innovative Application of Composite-Based Structural Equation Modeling in Hospitality Research With Empirical Example

Manosuthi, Noppadol; Lee, Jin Soo; Han, Heesup

doi:10.1177/1938965520951751

Cited by 24 publications

(34 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The method was introduced by Hwang and Takane (2004) in the psychometric literature. Applications can be found in several fields not limited to marketing (Hwang et al, 2010), hospitality (Manosuthi et al, 2021), healthcare (Avkiran, 2018) and biological sciences (Jung et al, 2016;Romdhani et al, 2015). GSCA is a global optimization method based on the least-squares criterion for parameter estimation.…”

Section: Methodsmentioning

confidence: 99%

Struggling to make ends meet: can consumer financial behaviors improve?

Meneau

Moorthy

2021

IJBM

View full text Add to dashboard Cite

PurposeThe purpose of the study is to examine the following two research objectives. The first was to examine the predictive relationships that consumer characteristics of financial literacy, thinking styles and self-control have with a consumer's financial behaviors. The second goal was to ascertain financial management products' ability to aid those consumers who need it the most by weakening the predictive effects of consumer traits on financial behaviors.Design/methodology/approachThe study employed a web-based survey to gather information. The measurement and structural models were analyzed using generalized structured component analysis (GSCA), a component-based structural equation model. The mediation effect of self-control is assessed using the GSCA. The conditional mediation of demographic variables and use of personal financial management products are evaluated using multi-group analysis (MGA) in GSCA.FindingsAntecedents, financial literacy, thinking styles and self-control consumer characteristics are predictors of financial behaviors. However, self-control plays a more prominent role as a mediator between the other variables, strengthening the overall relationship. Also, financial products can have a beneficial moderation effect assisting those consumers who need them the most.Practical implicationsThese insights help in creating target specific financial literacy strategies to influence consumers' financial behaviors. Also, there is a need to develop mechanisms to influence a consumer's self-control and thinking styles to improve financial behavior. In conjunction with other initiatives, the impact of financial literacy has a greater effect on financial behaviors. Further, the insights assist financial institutions and financial technology firms in offering and creating products to help customers make better financial decisions and improve their financial behaviors.Social implicationsThe research addressed a significant global issue – consumer financial health. The Great Recession and the COVID-19 recession highlight the need to focus on the consumer and efforts to improve their financial health.Originality/valueThis research highlighted the mediating role of self-control and suggested that existing and future financial products can positively influence consumer behavior drivers.

show abstract

Section: Methodsmentioning

confidence: 99%

Struggling to make ends meet: can consumer financial behaviors improve?

Meneau

Moorthy

2021

IJBM

View full text Add to dashboard Cite

show abstract

“…Following the recommendation of Manosuthi et al (2021), all AVE values should be greater than 0.5, and the Dijkstra–Henseler (ρa) indicator should be above 0.7 but lower than 0.95. Furthermore, the estimated weight scores must be positive, and the 95% of bias corrected confidence interval must not include zero.…”

Section: Resultsmentioning

confidence: 99%

“…In prior simulation and empirical studies, the relative performance of GSCA is marginally greater than PLS in terms of statistical power (Cho and Choi, 2020). Parameters estimated on the basis of a GSCA algorithm can also be considered full information and tends to estimate parameters more accurately than PLS (Manosuthi et al , 2021). Hence, GSCA was chosen as the main estimator in this research.…”

Section: Methodsmentioning

confidence: 99%

Examining the influential components of tourists' intention to use travel apps: the importance–performance map analysis

Fakfare

Manosuthi

2022

JHTI

Self Cite

View full text Add to dashboard Cite

PurposeThe main objectives of this study are to (1) explore underlying components and attributes of travel applications that influence traveler usage intention and (2) investigate which contents should be prioritized to increase the efficiency of travel apps.Design/methodology/approachThis study uses importance–performance map analysis (IPMA) with an innovative approach (i.e. generalized structured component analysis [GSCA]) to identify components and attributes that have relatively high and low significance for the target construct (i.e. travel app's usage intention).FindingsAn integrated model influenced by three components (i.e. entertainment, travel review and medical and emergency information is proposed to have an impact on travelers' intention to use travel apps). The IPMA results indicate that restaurant and shopping receive the utmost emphasis from Thai domestic tourists who use travel apps, and sports and attraction are regarded as less critical attributes.Practical implicationsThe app content scales identified in this study can be used as a basic framework for app developers, service providers and tourism authorities to design a travel app. The IPMA results also help concerned practitioners to make decisions on which contents/attributes should be incorporated and improved.Originality/valueThis study implements IPMA using a GSCA estimator to present the standard results reporting on the path coefficients of each of the attributes of travel app services. The results not only contribute to the improvement of app features and services, but also suggest an innovative approach for generating pertinent IPMA results with GSCA, thus contributing to the theoretical and methodological advancement in hospitality and tourism areas.

show abstract

“…In assessing composite‐based SEM, Benitez et al (2020) classified measurement model constructs as design and behavioural concepts. In this research, the nature of the measurement indicators was considered, and the newly identified LC tourism components and the tourists' satisfaction, involvement and LC behaviours were categorised as design constructs measured by the composite‐formative model, whereas immunity was measured by the common factor reflected by the behavioural concept (Manosuthi et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Low‐carbon tourism for island destinations: A crucial alternative for sustainable development

Fakfare

Wattanacharoensil

2022

Sustainable Development

View full text Add to dashboard Cite

The impact of climate change has been evidenced in several tourist destinations, and triggered concerns on the destination development. Low-carbon tourism has become a national, if not, global agenda that can be used to mitigate the climate change impact caused by the tourist destinations. To respond to this timely agenda and the United Nation World Tourism Organisation's (UNWTO) callout, this study establishes and verifies important components and attributes of low-Carbon destinations, particularly on island destination, which are still unexamined in the literature. Taking on the perspective of tourists, this study is driven by Stimulus-Organism-Response (S-O-R) theory which is a consolidative theoretical framework that integrates environmental input (external), emotional status (internal) and behavioural responses to explain actual behaviours of low-carbon tourists. Integrated generalised structured component analysis (IGSCA) and multigroup analysis were performed on 1808 travellers who posed different degrees of psychological fear of the COVID-19 pandemic. During COVID-19, health and safety risks have become a critical concern; therefore, this study further explores the moderating effect of risk from the perspective of the lowand high-perceived risk travellers, before identifying the attitude-behaviour gaps of these two groups. The study provides theoretical insights into low-carbon tourism experience at the island destinations and offers useful managerial implications on low-carbon destination development.

show abstract

An Innovative Application of Composite-Based Structural Equation Modeling in Hospitality Research With Empirical Example

Cited by 24 publications

References 38 publications

Struggling to make ends meet: can consumer financial behaviors improve?

Struggling to make ends meet: can consumer financial behaviors improve?

Examining the influential components of tourists' intention to use travel apps: the importance–performance map analysis

Low‐carbon tourism for island destinations: A crucial alternative for sustainable development

Contact Info

Product

Resources

About