scholarly journals An Empirical Analysis of Brand as Symbol, Perceived Transaction Value, Perceived Acquisition Value and Customer Loyalty Using Structural Equation Modeling

2019 ◽  
Vol 11 (7) ◽  
pp. 2116 ◽  
Author(s):  
Lee ◽  
Lee ◽  
Liang
Keyword(s):  
Structural Equation Modeling ◽  
Empirical Analysis ◽  
Customer Loyalty ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Models ◽  
Positive Influence ◽  
Equation Modeling ◽  
Measurement Models ◽  
Transaction Value

Today consumers’ demands and choices of products or services are constantly changing rapidly in the internet environment of information technology. The markets emphasize quality, service, and customization, which has been changing the consumption patterns in the decision-making process or companies’ production patterns. The enterprises are essential to respond the changes of the consumption side and production side in order to achieve sustainable development. Moreover, it is important to focus on the relationship of interaction with consumers. This study was intended to explore the influence of brand as symbol on consumer behavior to understand the relations between brand as symbol, perceived transaction value, perceived acquisition value, message-response involvement, and customer loyalty. The empirical analysis is performed by using Structural Equation Modeling (SEM), including measurement and structural models. The measurement models are examined with Confirmatory Factor Analysis (CFA) to identify the relations between latent variables and observed variables whereas the structural models are used to find out the relations between latent variables. Meanwhile, path analysis is adopted to understand the influence between the variables. A questionnaire survey was carried out on customers of chain beverage stores in the Chiayi area through convenient sampling 400 copies were administered and 387 valid samples were retrieved. The response rate was 97%. The results indicate that brand as symbol has significant positive influence on perceived transaction value, perceived acquisition value, and customer loyalty. This means brand as symbol alone can have an effect on customer loyalty and will not be influenced by the level of message-response involvement. This conclusion can be applied to help brand managers to establish close relations with consumers when performing brand design.

scholarly journals The Influence of Employee Promotion, Upward Downward Communication and Work Environment on Job Satisfaction of PT. Holcim Indonesia, Tbk

2019 ◽  
Author(s):  
Albert Yansen ◽  
Yetti Supriyati ◽  
Kadir .
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Work Environment ◽  
Questionnaire Survey ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Influence ◽  
The Other ◽  
Equation Modeling ◽  
Survey Questionnaire

Research was conducted to explore job satisfaction of employee in PT. Holcim Indonesia,Tbk.Thisstudycoveredforpermanentemployee.Thepurposeofthispaper is to investigate whether employee promotion, upward downward communication and work environment influences the job satisfaction of PT. Holcim Indonesia, Tbk. This paper is based on a questionnaire survey of all employee position (manager and non-manager) in all plant of Indonesia with a random sample of 225 employees, and the method of analysis used is the frequency distribution and path analysis. The Data was collected through a self-administered survey questionnaire. The questionnaire is adopted from a previous validated survey. The data was analyzed using structural equation modeling (SEM) with Smart PLS. The results showed that among seven hypotheses tested, all variables have the positive influence, however, there are two latent variables which have direct significant associations, while the others have not. A variable which have indirect significant associations, while the other one has not. WorkEnvironmenthavedirectpositiveandsignificantinfluenceonthejobsatisfaction, while employee promotion and upward downward communication have a direct positiveinfluencebutnotsignificant.Otherwise,both employee promotion and upward downward communication have an indirect positive influence on the job satisfaction with intervening variable (work environment). The study provides ways to increase the job satisfaction of all employees so that they will be able to produce reliable company performances.

scholarly journals Pengaruh Kualitas Pelayanan Dan Customer Relationship Management Terhadap Loyalitas Nasabah Pada Bank BRI

2020 ◽  
Vol 4 (02) ◽  
pp. 26-38
Author(s):  
Erline Erline ◽  
Boby Saputra
Keyword(s):  
Structural Equation Modeling ◽  
Service Quality ◽  
Customer Relationship Management ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Relationship Management ◽  
Positive Influence ◽  
Customer Relationship ◽  
Equation Modeling ◽  
Branch Office

This study aims to determine whether service quality affects customer loyalty at BRI Bank Muara Teweh Branch. Does Customer Relationship Management affect customer loyalty at BRI Bank Muara Teweh Branch Office This research method uses the data analysis technique used, namely the analysis of Structural Equation Modeling from the IBM SPSS Statistics Amos version 20 program AMOS (Analysis of Moment Structures) analysis program Structural Equation Modeling (SEM) a covariance-based The results of this test show significant results with a CR value of 3.848> 1.96 and the p number is 0.000, this number is far below 0.05 so that H0 is rejected and H1 is accepted, which means that there is an influence between service quality on customer loyalty This test shows significant results with a CR value of 2.322> 1.96 and the p number is 0.006, this figure is far below 0.05 so that H0 is rejected and H1 is accepted, which means that there is an influence between customer relationship management on customer loyalty The results of the study concluded that service quality variables have a significant and positive influence on customer loyalty variables customer relationship management have a significant and positive influence on customer loyalty. For further researchers, it is suggested that the Muara Teweh branch of BRI bank improve the quality of their services to increase customer loyalty.  

scholarly journals Analysis of Halal Certification Renewal Service Quality and Their Effect on the Customer’s Satisfaction and Loyalty in Yogyakarta (Case Study in Meatball Stall)

2021 ◽  
pp. 372-383
Author(s):  
Jumeri Jumeri ◽  
Khosyani ◽  
Falah M.A.F
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Satisfaction Index

The society awareness in consuming halal, safe, and healthy foodstuff within these past few years kept on increasing. This was closely related to responsible food manufacturers which produced sustain halal foods, as evidenced by ownership halal certification. In order to increase the satisfaction of food producers and to maintain their commitment to extend the halal certificates, the quality of halal authority service should always be enhanced. This study aims to identify the Customer Satisfaction Index (CSI) value, to determine the influence of halal label and product attributes toward customer’s satisfaction and loyalty of meatball stalls in Yogyakarta, and to identify the influence of halal label toward selling volume on certified meatball stalls. The instruments used were questionnaires containing 21 quality attributes of halal certificate renewal service. Analyses were performed using Structural Equation Modeling (SEM). The model was composed of seven latent variables: halal certification, brand, price, taste, service, customer satisfaction and customer loyalty. Result of the research showed that taste and halal certification have significant effect on the customer’s satisfaction and loyalty of certified meatball stalls. Halal certification have affected the certified meatball stalls in Yogyakarta by increasing the selling volume of 25-37.5%.

scholarly journals LOYALITAS CUSTOMER DALAM MOBILE COMMERCE ZALORA

2018 ◽  
Vol 11 (1) ◽  
pp. 26
Author(s):  
Karina Dwi Pramesti
Keyword(s):  
Structural Equation Modeling ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Positive Influence ◽  
Mobile Commerce ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Survey Method ◽  
Analysis Technique ◽  
Information And Communication

Saat ini smartphone menjadi instrumen yang sangat penting dalam dunia bisnis dan pemasaran. Penggunaan smartphone juga memicu tumbuhnya berbagai mobile commerce (m-commerce) di Indonesia. Hal ini disebabkan karena smartphone dapat menjadi sarana periklanan, promosi, dan transaksi jual beli. Salah satu perusahaan yang memanfaatkan hal ini adalah Zalora. Zalora merupakan salah satu perusahaan m-commerce dalam bidang fashion dengan pengunjung tertinggi di Indonesia. Namun, saat ini belum diketahui apakah terdapat hubungan antara kecenderungan penggunaan teknologi informasi dan komunikasi, kepuasan, serta kepercayaan terhadap loyalitas pelanggan pada Zalora. Metode pengumpulan data yang digunakan dalam penelitian ini adalah metode survei terhadap mobile buyers dari aplikasi zalora. Data yang dikumpulkan dianalisis dengan teknik analisis Structural Equation Modeling (SEM). Hasil penelitian ini menunjukan bahwa, kepuasan dan kepercayaan memiliki pengaruh positif terhadap loyalitas pelanggan E-Commerce Zalora. Kata Kunci: Kepercayaan, Kepuasan, Loyalitas,  Mobile Commerce, Zalora  Smartphones are becoming very important instruments in the business and marketing world today. The use of smartphones also trigger the growth of various mobile commerce (m-commerce) in Indonesia. This is because smartphones can be a means of advertising, promotion, and buying and selling transactions. One company that utilizes this is Zalora. Zalora is one of the m-commerce companies in the field of fashion with the highest visitors in Indonesia. However, it is not currently known whether there is a relationship between trends in use of information and communication technology, satisfaction, and trust in customer loyalty to Zalora. Data collection method used in this research is survey method to mobile buyers from zalora application. The data collected were analyzed by Structural Equation Modeling (SEM) analysis technique. The results of this study indicate that, satisfaction and trust have a positive influence on customer loyalty E-Commerce Zalora.

Perceived robotic server qualities and functions explaining customer loyalty in the theme park context

2020 ◽  
Vol 13 (12) ◽  
pp. 3895-3923
Author(s):  
Ady Milman ◽  
Asli Tasci ◽  
Tingting(Christina) Zhang
Keyword(s):  
Structural Equation Modeling ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Online Survey ◽  
Positive Influence ◽  
Equation Modeling ◽  
Theme Park ◽  
Content Type ◽  
Human Orientation ◽  
Complex Relationships

Purpose This paper aims to explore theme park visitors’ attitudes toward interacting with robots and investigated the qualities and functions of robotic servers and their influence on customers’ loyalty. A structural equation modeling approach was used to identify the complex relationships among variables in the entire network. Design/methodology/approach An online survey randomly assigned respondents to four different robotic server scenarios with robots that look like humans, animals, cartoon characters and anime features. The influence of robot types was investigated by manipulating robot type with four different pictures; however, the data were analyzed with a structural equation modeling model to identify the complex relationships rather than one-way analysis of variance to identify influences of robot types on different variables in separate analyzes. Findings The data collected from the 385 experienced theme park visitors revealed that perception of robots with human orientation and safety qualities had the strongest effect on the perceived robotic functionality, while emotions and co-creation qualities hardly had any effect on the perceived functionality, which included utilitarian rather than experiential functions such as excitement. Human orientation qualities, regardless of the specific robotic design, had a significant impact on perceived robotic functionality. The study also revealed a strong positive influence of perceived robotic functionality on customer loyalty. Originality/value The debate of whether or not to introduce and blend the growing robotic technology into the theme park experience is in its infancy. The study contributes to the theory of how robotics qualities and functions can augment customer loyalty.

scholarly journals HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ellen Roemer ◽  
Florian Schuberth ◽  
Jörg Henseler
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Empirical Studies ◽  
Geometric Mean ◽  
Equation Modeling ◽  
Content Type ◽  
Measurement Models ◽  
Loading Patterns

PurposeOne popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2.Design/methodology/approachThe HTMT2 is designed in analogy to the HTMT but relies on the geometric mean instead of the arithmetic mean. A Monte Carlo simulation compares the performance of the HTMT and the HTMT2. In the simulation, several design factors are varied such as loading patterns, sample sizes and inter-construct correlations in order to compare the estimation bias of the two criteria.FindingsThe HTMT2 provides less biased estimations of the correlations among the latent variables compared to the HTMT, in particular if indicators loading patterns are heterogeneous. Consequently, the HTMT2 should be preferred over the HTMT to assess discriminant validity in case of congeneric measurement models.Research limitations/implicationsHowever, the HTMT2 can only be determined if all correlations between involved observable variables are positive.Originality/valueThis paper introduces the HTMT2 as an improved version of the traditional HTMT. Compared to other approaches assessing discriminant validity, the HTMT2 provides two advantages: (1) the ease of its computation, since HTMT2 is only based on the indicator correlations, and (2) the relaxed assumption of tau-equivalence. The authors highly recommend the HTMT2 criterion over the traditional HTMT for assessing discriminant validity in empirical studies.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

FEATURE,NILAI, KEPUASAN DAN LOYALITAS PELANGAN

2017 ◽  
Vol 2 (1) ◽  
pp. 45-52
Author(s):  
Iha Haryani Hatta
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Customer Value ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relationship Of ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

The aim of this study was to determine the relationship of the features of the value, satisfaction, and customer loyalty; the effect on the value of customer satisfaction and loyalty; influence of satisfaction on customer loyalty. A total of 200 merchant PT. BANK XYZ as respondents was selected randomly. Analyses were performed using structural equation modeling (SEM). The analysis showed that the feature has a significant influence on customer value, but not for customer satisfaction and loyalty. The values has a significant influence on satisfaction, but not on customer loyalty. Satisfaction has a significant influence on customer loyalty. Discussion and conclusions described in the article. Keywords: features of the value, satisfaction, customer loyalty

Building a Model of Family Caregiving for Children with Emotional Disorders

1997 ◽  
Vol 5 (3) ◽  
pp. 138-148 ◽  
Author(s):  
Thomas P. Mcdonald ◽  
Thomas K. Gregoire ◽  
John Poertner ◽  
Theresa J. Early
Keyword(s):  
Structural Equation Modeling ◽  
Emotional Disorders ◽  
Problem Behaviors ◽  
Family Caregiving ◽  
Latent Variables ◽  
Structural Equation ◽  
Empirical Literature ◽  
Equation Modeling ◽  
Special Challenge ◽  
And Coping

In this article we describe the results of an ongoing effort to better understand the caregiving process in families of children with severe emotional problems. We make two assumptions. First, we assume that these families are essentially like other families but are faced with a special challenge in raising and caring for their special children while at the same time performing the multiple tasks and demands faced by all families. Second, we assume that public policy and programs must be supportive of the care of these children in their own homes and communities whenever possible. The purpose of this article is to present a model of family caregiving that draws broadly from available theory and empirical literature in multiple fields and to subject this model to empirical testing. We use structural equation modeling with latent variables to estimate an empirical model based on the theoretical model. Results of the model testing point to the importance of the child's external problem behaviors and the family's socioeconomic status and coping strategies as determinants of caregiver stress. Other findings highlight difficulties in measuring and modeling the complex mediating process, which includes formal and informal supports, perceptions, and coping behaviors. The use of structural equation modeling can benefit our efforts to support families by making explicit our theories about the important dimensions of this process and the relationship between these dimensions, which can then be subjected to measurement and validation.

scholarly journals Peran Involvement Sebagai Variabel Pemoderasi Model Loyalitas Pelanggan

2018 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Budi Setyanta
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Equation Modeling ◽  
Survey Method ◽  
Customer Involvement ◽  
Perceived Price

This research aims to identify the role of involvement as a moderating variable in the model of customer loyality. The population in this study is the Xiaomi smartphone users in Yogyakarta. Data is collected through survey method that is guided by questionnaire. The data samples are 200 respondents to eligible the data analysis by structural equation modeling. The results indicate that the involvement moderates the effect of perceived quality, perceived price and after-sales service towards customer satisfaction.. Besides, the result is the involvement moderates the effect of customer satisfaction on customer loyalty. The results are used to develop strategies to effectively increase customer loyalty by designing a stimulus to increase customer loyalty considering the level of customer involvement.

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