scholarly journals Re-examining the relationships among perceived quality, value, satisfaction, and destination loyalty

2017 ◽  
Vol 24 (2) ◽  
pp. 118-135 ◽  
Author(s):  
Rob Hallak ◽  
Guy Assaker ◽  
Rania El-Haddad
Keyword(s):  
Structural Equation ◽  
The United States ◽  
Perceived Quality ◽  
Second Order ◽  
Equation Modeling ◽  
Order Model ◽  
Destination Loyalty ◽  
Formative Measurement ◽  
First Order ◽  
Measurement Models

Drawing on the literature on service quality, marketing, and tourism, the present study tests a comprehensive model of the effects of perceived quality (PQ) on loyalty in the context of a tourism destination. Using a sample of 249 residents from the United Kingdom and the United States who visited Australia between 2008 and 2012, this research applies partial least squares–structural equation modeling to examine these relationships. PQ is operationalized as a multidimensional construct determined by six destination dimensions: natural and well-known attractions, variety of tourist services, quality of general atmosphere, entertainment and recreation, general environment, and accessibility. Our results support the conceptualization of PQ as a “reflective first-order, formative second-order” model (also referred to as a molar, or type II, higher order model, see Diamantopoulos A, Riefler P, and Roth KP (2008) Advancing formative measurement models. Journal of Business Research 61(12): 1203–1218). Results from this study found that the six reflective first-order dimensions of PQ form the higher (second)-order PQ construct. Moreover, PQ has a stronger effect on loyalty (both direct and indirect through satisfaction) compared to perceived value, which only exercises an indirect effect on loyalty. The study presents new insights on the operationalization of PQ and the network of causal relationships among PQ, value, satisfaction, and loyalty in tourism destinations.

scholarly journals The Work Gratitude Scale: Development and Evaluation of a Multidimensional Measure

2022 ◽  
Vol 12 ◽  
Author(s):  
Carolyn M. Youssef-Morgan ◽  
Llewellyn E. van Zyl ◽  
Barbara L. Ahrens
Keyword(s):  
Measurement Invariance ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
The United States ◽  
Second Order ◽  
Three Dimensions ◽  
Equation Modeling ◽  
First Order ◽  
Multidimensional Measure

This study explores gratitude as a multidimensional and work-specific construct. Utilizing a sample of 625 employees from a variety of positions in a medium-sized school district in the United States, we developed and evaluated a new measure, namely the Work Gratitude Scale (WGS), which encompasses recognized conative (intentional), cognitive, affective, and social aspects of gratitude. A systematic, six-phased approach through structural equation modeling (SEM) was used to explore and confirm the factorial structure, internal consistency, measurement invariance, concurrent, convergent, and discriminant validity of the WGS. The results supported a 10-item measure with three dimensions: “grateful appraisals” (three items), “gratitude toward others” (four items), and “intentional attitude of gratitude” (three items). Thereafter, first-order, second-order, and bifactor confirmatory models were estimated and compared. Work gratitude was found to be best described by a second-order construct with three underlying first-order dimensions. Measurement invariance was supported in relation to gender. Concurrent validity was supported in relation to two existing dispositional gratitude scales, namely the Gratitude Questionnaire and the Gratitude, Resentment, and Appreciation Scale (GRAT). Convergent validity was supported in relation to the Core Self-Evaluations Scale (CSES) and the Psychological Capital Questionnaire. Discriminant validity was supported in relation to various demographic factors such as age, gender, occupation, and tenure. The findings support the WGS as a multidimensional measure that can be used in practice to measure overall work-related gratitude and to track the effectiveness of gratitude-related workplace interventions.

scholarly journals ASSESSING THE FACTORS CAUSING PROJECT COMPLETION DELAYS IN THE CONSTRUCTION SECTOR OF OMAN USING SEM-PLS

2020 ◽  
Vol 8 (3) ◽  
pp. 900-912 ◽  
Author(s):  
Iman Suleiman Al Maktoumi ◽  
Firdouse Rahman Khan ◽  
Ahmed Rashid Suwied Al Maktoumi
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Goodness Of Fit ◽  
Raw Materials ◽  
Equation Modeling ◽  
Related Factors ◽  
Formative Measurement ◽  
Project Completion ◽  
Measurement Models ◽  
Process Allocation

Purpose: The objectives of the study were to investigate the causes of the delays to analyze the factors causing the construction delay in Oman and to investigate the effects of such delays. Design/methodology/approach: To carry out this study 210 samples were collected through a well-defined questionnaire from the construction stakeholders viz. the consultants, contractors, and the clients who were selected on a random sampling basis. Smart PLS for Structural Equation Modeling (SEM) technique was used to analyze the data to obtain the formative measurement models, the structured model, and the goodness of fit. Findings: The results of the study reveal that the client-related factors, equipment-related factors, and material related factors have a significant impact on the completion delay in construction projects. The findings of the study also revealed that the Client related factors were – Delay in providing services, Delayed decision-making process, Allocation of insufficient time. Equipment related factors were – Existing low productive equipment, Unskillful Equipment operator, Breakdown of equipment and Outdated equipment; Material related factors were – Delay in supply of raw materials, Non-availability of materials, Change of materials during construction, Non-availability of accessories and Damaged materials. Research limitations/Implications: The present study covers the stakeholders of the construction projects from selected regions only. The future studies can be extended to other projects and other regions as well. Social implications: The study suggested that the clients’ cooperation especially in providing the contractors with the necessary equipment, facilities, and sufficient time will avoid such delays of the construction projects in Oman. Originality/Value: Only very few have examined the completion delay of the construction projects in Oman using SEM-PLS and it is a first-hand study of its kind and the results will be useful to the stakeholders.

Evaluating the Construct Validity of Ryff’s Scales of Psychological Well-Being Using Exploratory Structural Equation Modeling

2016 ◽  
Vol 35 (6) ◽  
pp. 633-638 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Tze-Li Hsu ◽  
KoFan Lee ◽  
Lori Wolff
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Well Being ◽  
The United States ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Psychological Well Being ◽  
Measurement Models

The purpose of this study was to evaluate the construct validity of Ryff’s Scales of Psychological Well-Being (SPWB) using exploratory structural equation modeling (ESEM). The data were drawn from the national survey of Midlife in the United States conducted during 1994 and 1995. Measurement models assuming different number of factors (1-6 factors) and considering the effect of negatively wording items were specified and compared to determine optimal number of underlying factors. The discriminant validity was assessed following Farrell’s suggestions. The results showed the discriminant validity was questionable due to five indicators with considerable cross-loadings.

Rethinking balanced scorecard (BSC) measures: formative versus reflective measurement models

2017 ◽  
Vol 66 (1) ◽  
pp. 92-110 ◽  
Author(s):  
Sungbum Park ◽  
Heeseok Lee ◽  
Seong Wook Chae
Keyword(s):  
Balanced Scorecard ◽  
Latent Variables ◽  
Structural Equation ◽  
Model Comparison ◽  
Empirical Studies ◽  
Equation Modeling ◽  
Content Type ◽  
Formative Measurement ◽  
Measurement Models ◽  
Formative Indicators

Purpose Most empirical balanced scorecard (BSC) studies have shown a tendency to wrongly employ reflective indicators instead of the more theoretically suitable formative indicators. However, formative indicators are difficult to apply due to the lack of statistical software support and a standardized model testing method. The paper aims to discuss these issues. Design/methodology/approach This study empirically compares the reflective and formative measurement method with standardized model comparison criteria. After collecting 217 valid questionnaires from companies in South Korea, the authors applied a structural equation modeling technique to analyze the data. Findings The result shows that the formative measure provides greater validity for the corporate performance measurement using BSC. Further, this study shows the indicators’ relative influence on each BSC perspectives using the formative measure. Practical implications This study proved the usefulness of the formative measure analysis method and suggested its practical use, focusing on the indicators most useful in developing corporate strategies. In addition, the authors showed that formative indicators could be used in the corporate environment by overcoming the limitations of conventional studies that were confined to causal relationships with latent variables. Originality/value This study may be the pioneering work that compares formative and reflective indicators simultaneously, addressing the usefulness of formative measurement and its application validity in the existing empirical studies using reflective measurements.

The impact of tourists' emotions on satisfaction and destination loyalty – an integrative moderated mediation model: tourists' experience in Switzerland

2020 ◽  
Vol 3 (5) ◽  
pp. 509-528 ◽  
Author(s):  
Samaan Al‐Msallam
Keyword(s):  
Structural Equation ◽  
Positive Emotions ◽  
Negative Impact ◽  
Negative Emotions ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Content Type ◽  
Destination Loyalty ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this paper is to investigate the effect of tourists' emotional responses toward a particular destination on tourists' satisfaction and destination loyalty. Perceived quality adds as a moderator variable.Design/methodology/approachThis study adopted a quantitative data collection method, with distributing the questionnaire to 346 tourists of 43 nationalities in four main tourist attractions in Switzerland. The structural equation modeling approach and bootstrapping technique were used to empirically test the study hypotheses.FindingsThe results confirm the negative impact of negative emotions. The mediating role of the tourists' satisfaction was documented. As expected, perceived quality dampened the negative effect of negative emotions on tourists' satisfaction. However, surprisingly, it does not serve as a moderator in the relationship between positive emotions and tourists' satisfaction.Practical implicationsThis study resulted in a set of practical marketing recommendations. Tourism marketers are encouraged to keep positive emotions high among tourists, aimed to increase their satisfaction toward the destination and revisit it again in the future and also, pay more attention to the quality of the destination as an essential tool to reduce the impact of negative emotions.Originality/valueMany studies in tourism literature studied associations between positive emotions and tourists' behavior. The present study is drawing more attention to negative emotions. In addition, this study tries to address the gap in the tourism literature regarding the modified impact of perceived quality on the relationship between emotions and tourists' satisfaction.

scholarly journals Validation of a measuring scale of the expectations of millennials at work, the Mexican case

2020 ◽  
Vol 22 (2) ◽  
pp. 178
Author(s):  
María Teresa De la garza carranza ◽  
Jorge Armando López Lemus ◽  
Eugenio Guzmán Soria ◽  
Quetzalli Atlatenco Ibara
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Second Order ◽  
High Rate ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Social Commitment ◽  
First Order ◽  
Confirmatory Factor

Today the retention millennial workers is a challenge for organizations. The purpose of this paper is to propose ideas to the decision makers, to lessen the high rate of personnel turnover in all kinds of industries in many countries. This research validates an instrument that evaluates the employability factors of millennials in Mexico, according to their own expectations. We based our study on the previous literature about the millennial generation in many countries. To validate the questionnaire, a sampling of 781 workers from the states of Querétaro and Guanajuato in México was conducted. The method used to achieve the objective was through exploratory and confirmatory factor analyses. The confirmatory factor analysis was conducted using structural equation modeling, and tested two different methods: first order and second order models. With the three methods, exploratory, first order and second order factor analyses, similar results were obtained. In the analysis of the statistical techniques, two latent variables associated with the expectations of this generational group were generated. The factors found are “personal satisfaction with the organization” and “satisfaction with the organization’s social commitment.” These two factors are supported by the literature of other researchers. It is suggested that this questionnaire be validated in other countries but also in other regions of Mexico, using different productive sectors, thereby obtaining a broader perspective that will allow us to understand not only what millennials want from their work, but to what extent they want it.

scholarly journals Perceived Quality of Urban Wetland Parks: A Second-Order Factor Structure Equation Modeling

2020 ◽  
Vol 12 (17) ◽  
pp. 7204 ◽  
Author(s):  
Jiang Li ◽  
Qiao Pan ◽  
You Peng ◽  
Tao Feng ◽  
Shaobo Liu ◽  
...  
Keyword(s):  
Urban Areas ◽  
Structural Equation ◽  
Urban Ecosystems ◽  
Perceived Quality ◽  
Two Dimensions ◽  
Second Order ◽  
Equation Modeling ◽  
Theoretical Formulation ◽  
Order Factor

Wetland in the urban or peri-urban areas has been recognized as an important component of urban ecosystems and provides ecological and environmental services. Wetland park emerged as a kind of restoration of natural wetlands in the context of increasing pressure on land and eco-environment caused by urban sprawl, which has played an essential role in providing recreational spaces/opportunities and improving social interactions. However, little research has been conducted on the theoretical formulation elaborating individuals’ perceived quality of wetland parks when people are engaging in activities therein. This study is an attempt to develop a method to measure the quality of wetland parks based on individuals’ various perceptions and attitudes. From the view of human-nature interaction, the perceived quality is hypothetically conceptualized as a composite of two dimensions, such as comfort perception and environmental satisfaction. A series of questionnaire-based surveys were conducted among respondents (N = 936) in Yanghu wetland park in Changsha, China. Based on the measured items from on-site surveys, second-order factor structural equation modeling is applied to estimate the hypothesis of a hierarchical structure for elaborating how the quality of wetland park is perceived by individual respondents. The results test the hypothesis that the quality of wetland park as a second-order theoretical construct can be conceptualized by two first-order theoretical constructs, individuals’ comfort (loading = 0.749), and environmental satisfaction (loading = 0.828). In addition, a significant influence of attitudes toward green space on the perceived quality of wetland park has been identified.

scholarly journals Measuring Intra-Urban Inequality with Structural Equation Modeling: A Theory-Grounded Indicator

2020 ◽  
Vol 12 (20) ◽  
pp. 8610
Author(s):  
Matheus Pereira Libório ◽  
Oseias da Silva Martinuci ◽  
Sandro Laudares ◽  
Renata de Mello Lyrio ◽  
Alexei Manso Correa Machado ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effects ◽  
Structural Equation ◽  
Composite Indicator ◽  
Second Order ◽  
Equation Modeling ◽  
Order Structure ◽  
Direct And Indirect Effects ◽  
Urban Inequality ◽  
First Order

Composite indicators are almost always determined by methods that aggregate a reasonable number of manifest variables that can be weighted—or not—as new synthesis variables. A problem arises when these aggregations and weightings do not capture the possible effects that the various underlying dimensions of the phenomenon have on each other, and consequently distort the assessment of intra-urban inequality. In this paper, we explore the direct and indirect effects that the different underlying dimensions of intra-urban inequality have on indicators that represent this phenomenon. Structural equation modeling was used to build a composite indicator that captures the direct and indirect effects of the underlying dimensions of intra-urban inequality. From this modeling that combines confirmatory factor analysis with a system of simultaneous equations, the intra-urban inequality of the urban conurbation of Maringá–Sarandi–Paiçandu, Brazil was measured. The model comprises first- and second-order structures. The first-order structure is composed of non-observed variables that represent three underlying dimensions of intra-urban inequality. The second-order structure is the intra-urban inequality composite indicator that synthesizes the non-observed variables of the first-order structure. The model aims at demonstrating how to perform a theorized measurement of urban inequality so that it makes it possible to identify which dimensions most influence the others, as well as which dimensions are more relevant to this purpose.

PENGARUH COUNTRY OF ORIGIN, WORD OF MOUTH, KUALITAS YANG DIPERSEPSIKAN TERHADAP NIAT BELI: STUDY PADA KAMERA DIGITAL MEREK JEPANG

2019 ◽  
Vol 4 (3) ◽  
pp. 365-374
Author(s):  
Edy Purwanto ◽  
Aryo Wibisono
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Sampling Method ◽  
Word Of Mouth ◽  
Country Of Origin ◽  
Digital Camera ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Country Of Origin Image ◽  
Method Analysis

This study aims to test the influence of country of origin image and word of mouth on perceived quality. Then, the country of origin image and word of mouth and perceived quality on purchase intention of digital camera from Japan. The number of samples in this research are 230 respondents taken by purposive sampling method. Analysis of Structural Equation Modeling (SEM) is used to test the hypothesis. The results of this study showed that country of origin image and word of mouth have a positive and significant effect on perceived quality. Then, Word of mouth and perceived quality have a positive and significant effect on purchase intention but a country of origin image has no significant effect on purchase intention. 

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

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