Linking Perceived Value, Customer Satisfaction, and Purchase Intention in E-Commerce Settings
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Keywords:
Customer Satisfaction
Value (mathematics)
Customer value
There haven’t been enough empirical evidences of orders’ impact on structural equation model and satisfaction index results. This study is conducted to figure out the problem by making a comparison between the first-order and high-order structural equation models building with the same sample from healthcare. As expected, results showed that the path coefficients and goodness-of-fit indices of high-order structural equation model were basically the same with its counterpart, suggesting the structural equation model’s orders would not affect the index and play the role of simplifying the model. Besides, compared with the conventional first-order structural equation model in patient satisfaction, the high-order model tended to be an improvement, for providing the probability of analyzing intermediate latent variables and forming the theoretical basis of multi-level structural equation modeling study.
Goodness of fit
Path coefficient
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Generalized equation and typical application of Structural Equation Model and Simultaneous Equation Model were first introduced respectively,as well as current researching in China.Comparing the Structural Equation Model with the Simultaneous Equation Model,we pointed out several strengths of the Structural Equation Model,such as its ability to deal with the latent variables and variables with measurement error,which led to the broad application in management,psychology and other social science.Meanwhile,the comparison indicated its limitations,such as heavy requirement about sample size.Furthermore,it could not compensate for a poorly designed study and a model with specification error and was hard to interpret the parameters in structural equation model.
Simultaneous equations model
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Value (mathematics)
Customer value
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LISREL
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The current research on customer value leads the consideration of hotel value to a limited and narrow vision,which brings impact on the sustainable development of hotel operation.This paper analyses the composition of hotel value,and raises that the hotel value should not only involve serve the customers and enrich the owners,but also benefit the employees and the community.
Value (mathematics)
Customer value
Hotel management
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This chapter focuses on the concept of creating brand value for customers using various customer strategies. Creation and enhancement of value lies at the heart of a customer strategy, which makes it important for companies to know what components of value proposition are seen by customers to be creating value for them and which are not. One must create and add value that is appropriate for one's customers and one wishes to attract, retain and to be consistent with the kind of company one wants to create. Unless value is created regularly for customers, there would be no reason for them to stay on. Without value being provided regularly, customers will perceive no differential advantage of one company over another. Also, customers do not feel willing to be part of companies that provide them services or products of little value. To achieve a relationship with customers, one must regularly create, enhance, and nurture emotional value with them.
Value (mathematics)
Value proposition
Customer value
Use value
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This article compares two structural equation modeling fit indexes—Bentler's ( 1990; Bentler & Bonett, 1980) Confirmatory Fit Index (CFI) and Steiger and Lind's (1980; Browne & Cudeck, 1993) Root Mean Square Error of Approximation (RMSEA). These two fit indexes are both conceptually linked to the noncentral chi‐square distribution, but CFI has seen much wider use in applied research, whereas RMSEA has only recently been gaining attention. The article suggests that use of CFI is problematic because of its baseline model. CFI seems to be appropriate in more exploratory contexts, whereas RMSEA is appropriate in more confirmatory contexts. On the other hand, CFI does have an established parsimony adjustment, although the adjustment included in RMSEA may be inadequate.
Goodness of fit
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This paper reviews the concept of customer value and its development at home and aboard. As there are still problems in our country’s housing industry development, it will be limitation to study housing value using customer value theory. The author argues that the view angle should be changed to research housing value, and raise the concept of housing common value. The author also analyzes components of residence common value.
Value (mathematics)
Customer value
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Preface to the Second Edition 1. Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables 2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables 3. Factor Analysis 4. Structural Equation Models in Single and Multiple Groups 5. Statistical Assumptions Underlying Structural Equation Modeling 6. Evaluating and Modifying Structural Equation Models 7. Multilevel Structural Equation Modeling 8. Latent Growth Curve Modeling 9. Structural Models for Categorical and Continuous Latent Variables 10. Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling
Categorical variable
Latent growth modeling
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