Past progress and future directions in conceptualizing customer perceived value

Abstract

Purpose - To propose an alternative model specification for better conceptualizing the definition of a customer perceived value construct, and to discuss the theoretical justification of the model. Design/methodology/approach - The proposed model was elaborated based on theoretical contexts. Three models of different conceptualization specifications were estimated and compared with eTail service value survey data. Findings - Based on theory, perceived value should be conceived as a formative construct. The empirical results demonstrated different parameter estimates and thus conclusions are drawn from different conceptualization methods. Research limitations/implications - Future research is suggested to apply the proposed formative value model in other marketing settings, and to explore the role of consumer satisfaction in post-purchase behavior. Practical implications - Marketing resources allocation and communication programs may be influenced due to different conceptualization methods of value construct applied by practitioners. Originality/value - This paper provides a theoretical rationale for conceptualizing perceived value with formative specification. It stresses that the theoretical justification is a major concern for determining conceptualization models

Factors Influencing Consumers' Actual Behavior based on Different Degree of Product Information

“…This is in accordance with the study conducted by Lin et al(2005) [30] who stated perceived usefulness affects action behavior.…”

Assessing the value of commonly used methods for measuring customer value: a multi-setting empirical study

“…Although an often-mentioned advantage of the onedimensional measurement method is its simplicity and ease of implementation (Lin et al 2005), many researchers (e.g., Ruiz et al 2008;Sweeney and Soutar 2001) point out that customer value is too complex to be captured by a onedimensional measurement method. As a response to this critique, so-called multi-dimensional approaches have been put forth, which consider customer value as consisting of several interrelated components or dimensions (Sánchez-Fernández and Iniesta-Bonillo 2007).…”

Online drivers and offline influences related to loyalty to airline websites

“…It therefore seems logical that the value perceived offline by a user of an airline company will have a direct influence on the online environment. If we observe the academic literature on perceived value, we find that it is configured in two parts: 1) received benefits of an economic, social and relational order, and 2) sacrifices made by the consumer in terms of price, time, effort, risk and convenience (Lin et al 2005). …”