Identifying And Measuring Customer Delight In The Hospitality Industry

2020 ◽  
Author(s):  
Dalilis Escobar Rivera ◽  
Marti Casadesús Fa ◽  
Alexandra Simon Villar
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Hospitality Industry ◽  
Measurement Scale ◽  
Research Model ◽  
Emotional Factors ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Customer Delight

The aim of this study is to identify customer delight by developing a research model and measurement scale in the hospitality industry that includes cognitive and emotional factors. The main analysis to support the research uses a confirmatory factor analysis, while collected data represent 186 tourism experiences in hotels and restaurants. The model describes a way to appraise memorable experiences by customers and the positive significance of emotions based on their needs. The authors argue that managing designed experiences and considering a customer’s service ideal from the factors in the proposed model could be the basis for achieving customer delight in the hospitality industry.

Structural Relationships among Customer Delight, Exercise Commitment, and Psychological Happiness

2019 ◽  
Vol 118 (1) ◽  
pp. 8-13
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Frequency Analysis ◽  
Structural Correlation ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
Customer Delight

Background/Objectives: The purpose of this study is to find out the structural relationships among customer delight, exercise commitment, and psychological happiness to contribute developing exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted and 160 college students who are familiar with mobile exercise applications participated. The data analyzed with frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural correlation analysis. The validity and the reliability were obtained: customer delight (χ2=26.532, df=14, CFI=.985, TLI=.971, RMSEA=.075), exercise commitment (χ2=113.802, df=49, CFI=.956, TLI=.941, RMSEA=.091), and psychological happiness (χ2=15.338, df=8, CFI=.989, TLI=.980, RMSEA=.076, and Cronbach’s α=.906~.938).

scholarly journals Confirmatory Factor Analysis for a Service-Learning Outcomes Measurement Scale (S-LOMS)

2020 ◽  
Vol 32 (1) ◽  
pp. 3-34
Author(s):  
Ka Hing Lau ◽  
Robin Stanley Snell
Keyword(s):  
Factor Analysis ◽  
Service Learning ◽  
Confirmatory Factor Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Higher Order ◽  
Measurement Scale ◽  
Outcomes Measurement ◽  
Confirmatory Factor

Service-learning was introduced into Hong Kong over a decade ago, yet there is a research gap about the self-perceived student learning outcomes, partly due to the lack of a reliable measurement instrument across disciplines and service-learning types. This study evaluated a recently created Service-Learning Outcomes Measurement Scale (S-LOMS) through confirmatory factor analysis with 629 students. S-LOMS measures self-perceived student learning outcomes with 56 items covering various learning outcome domains under four higher-order categories: knowledge application; personal and professional skills; civic orientation and engagement; and self-awareness. Alternative measurement models were compared, with the results indicating that although a model with 11 domains and without higher-order categories was preferred, there was also support for a model with 10 domains subsumed under the four higher-order categories. Multi-sample analyses indicated that both models were stable across gender.

scholarly journals Factors That Influence Reseller Purchasing Decisions

2021 ◽  
Author(s):  
Teddy Gouwtama ◽  
Damelina B. Tambunan
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Brand Image ◽  
Purchase Decision ◽  
Quality Information ◽  
Purchasing Decisions ◽  
Emotional Factors ◽  
Price Distribution ◽  
Confirmatory Factor ◽  
Job Assessment

This study was conducted to examine what factors shape reseller purchasing decisions. This study used a quantitative approach by collecting data using questionnaires and then organizing the data using SPSS and SMART-PLS. The questionnaire was distributed to 68 respondents who were resellers from PT Dwitunggal Kencana Raya. This research used Confirmatory Factor Analysis (CFA). The factors used were derived from previous studies and were rational and emotional factors. Rational factors included product, brand image, price, distribution, promotion, service quality, information and warranty. Emotional factors included job assessment, incentives and interpersonal. The results of this study indicated that rational and emotional factors can be used to shape purchasing decisions at Jaguar Star resellers and for Dwitunggal management. Keywords: reseller, purchase decision, rational factors, emotional factors, CFA

scholarly journals A Measurement Scale for Indecisiveness and its Relationship to Career Indecision and Other Types of Indecision

2002 ◽  
Vol 18 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Veerle Germeijs ◽  
Paul De Boeck
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Career Decision ◽  
Self Esteem ◽  
Career Indecision ◽  
Measurement Scale ◽  
Differential Relation ◽  
Distinctive Features ◽  
Confirmatory Factor

Summary: A scale for indecisiveness was constructed and then used to investigate distinctive features of indecisiveness. In the literature on decision making, the distinction between indecision and indecisiveness is an important issue, but evidence showing that these two constructs are different is lacking. We found clear evidence for such a distinction, from a joint exploratory factor analysis of the indecisiveness scale and a career indecision scale, and from the differential relation of both with self-esteem as a third variable. Furthermore, with confirmatory factor analysis, we found that the correlations between items on career indecision cannot be explained only by indecisiveness, and that also a factor specific to the situation of career decision is needed. These results corroborate the distinction between career indecision and indecisiveness. Although it must be differentiated from specific types of indecision, such as career indecision, indecisiveness turned out to be a correlate of the specific indecisions - one that can explain the intercorrelations between different kinds of more specific indecision.

Personality Assessment Inventory: A Confirmatory Factor Analysis

1994 ◽  
Vol 79 (3_suppl) ◽  
pp. 1441-1442 ◽  
Author(s):  
Gregory J. Boyle ◽  
James Ward ◽  
Tania J. Lennon
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Personality Assessment ◽  
Personality Assessment Inventory ◽  
Higher Order ◽  
Self Report ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Report Measure

The Personality Assessment Inventory is a recently constructed multidimensional self-report measure of personality traits. Morey reported the results of a scale factoring, claiming that the instrument measures four separate higher-order dimensions; however, in an independent Australian study of the psychometric properties of the inventory, Boyle and Lennon found five higher-order dimensions, using factor analytic procedures intended to maximize simple structure. The present paper reports the results of a confirmatory factor analysis for the proposed model based on the Australian data. The results indicate that the model does not provide a satisfactory fit, raising questions about the higher-order factor structure.

scholarly journals Phone Snubbing Scale (Phub-S) : A Phubbing Measurement For Young Moslem In Industry 4.0

2021 ◽  
Vol 6 (2) ◽  
pp. 179-195
Author(s):  
Iredho Fani Reza
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Industrial Revolution ◽  
Three Dimensions ◽  
Measurement Scale ◽  
Validity And Reliability ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Total Correlation ◽  
Confirmatory Factor

The purpose of this study is to develop a measurement scale for phone snubbing among Moslem youth in the era of the industrial revolution 4.0. This research is used a quantitative survey research with the number of respondents N = 503 who were Moslem youths at a university in the Republic of Indonesia which was determined by multistage sampling technique. The instrument used is the Phone Snubbing Scale (Phub-S) which consists of three dimensions - ignore others, dependency on gadgets and social disconnectedness. In analyzing the data through the process of building validity consisting of confirmatory factor analysis and total correlation of corrected items, analyzing internal consistency reliability using Cronbach's alpha technique. The results showed that the Phone Snubbing Scale (Phub-S) has a good item validity and reliability test as a measurement scale for phone insulting behavior young Moslems in the era of the industrial revolution 4.0. The recommended Phub-S items totaling 45 items that have been fulfilled are valid based on testing confirmatory factor analysis (CFA) technique (standardized solution (SS) > 0.4 and T-Values > 1.96), Corrected Item-Total Correlation ≥ 0.30 and with a scale reliability value. 0.932 (Cronbach's Alpha value> 0.8).

scholarly journals Evidence of Validity of a Modern Homonegativity Measure against Gays and Lesbians

Psico-USF ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 673-684 ◽  
Author(s):  
Kaline da Silva Lima ◽  
Juliana Maria Vieira Tenório ◽  
Francisco Romário ◽  
Luã Medeiros Fernandes de Melo ◽  
Josemberg Moura de Andrade
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
The Other ◽  
Validity Evidence ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Parallel Forms ◽  
High Degree

Abstract The goal of this research was to adapt and obtain validity evidence of the Modern Homonegativity Scale (MHS), which is set by two parallel forms with 12 items, one of them referring to gays (MHS-G) and the other referring to lesbians (MHS-L). In the first study 418 heterosexuals between 18 and 58 years old (M = 24,9; SD = 7,23), mostly women (66,3%) living at João Pessoa-PB (50,5%) answered. Both scales have shown as unidimensional and containing a high degree of internal consistency. The second study had the participation of 273 heterosexuals between 18 and 55 years old (M = 23,7; SD = 6,33), mostly women (69%). The confirmatory factor analysis showed satisfactory adjustment indexes for the proposed model and the Item Response Theory (IRT) demonstrated a good degree of discrimination and variation of the difficulty parameters. Therefore, we may conclude MHS is psychometrically valid, easily applicable and can be used in research contexts.

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