Customer value analysis in a heterogeneous market

By Wayne S. DeSarbo, Kamel Jedidi, Indrajit Sinha. 2001

327 citations recorded by the source corpus.

Subfields: Food Science, Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/bad43633b2bef2d190e46cbc183bc9811854c30e

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Citations in the corpus

Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives (2016, background): “Understanding the value of a product or service from the perspective of users has long been recognized as a successful customer strategy, and is often linked to overall business performance (Desarbo, Jedidi, and Sinha, 2001).”
Creating dynamic capabilities to increase customer value (2011, background): “Porter (1985) notes that a firm’s competitive advantage stems from its ability to create value for its customers that exceeds the firm’s cost of creating it (DeSarbo et al., 2001).”
Customer perceived value—Conceptualization and avenues for future research (2015, background): “This is surprising, as an aggregate analysis of customer perceived value, disregarding heterogeneous consumer preferences (sub-populations), might result in misleading parameter estimates and inferior managing decisions (Desarbo et al., 2001).”
Value-based Adoption of Mobile Internet: An empirical investigation (2007, background): “[20] Service (electric utility) Research Benefit components Sacrifice components”
Market orientation, competitive advantage, and performance: A demand-based perspective (2009, background): “This perspective is critical for value creation because without knowing what customers actually value, firms can not define and deliver a value proposition to satisfy them (Desarbo et al., 2001).”
Efficiency and quality as economic dimensions of perceived value: Conceptualization, measurement, and effect on satisfaction (2009, background): “Finally, studies that have analyzed perceived value as a potential segmentation variable (Agarwal and Teas, 2004; Brady and Robertson, 1999; DeSarbo et al., 2001; Overby et al., 2004) suggest that there is a need to investigate the development of consumer segments based on value orientations.”
Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples (2010, methodology): “Thus, the path model for our numerical example with experimental data has one endogenous latent variable, Satisfaction, and two exogenous latent variables, Price and Quality, in the inner model (DeSarbo et al. 2001; Dillon et al. 1997).”
Market demand, green product innovation, and firm performance: evidence from Vietnam motorcycle industry (2013, unknown): “Hence, firms must understand their target customers and anticipate the changing preferences of customers in order to meet market demand promptly and gain competitive advantage (Desarbo et al., 2001; Zhou et al., 2009).”
Customer segmentation using unobserved heterogeneity in the perceived value - loyalty-intentions link (2014, methodology): “This is surprising for at least two reasons: First, an aggregate analysis of perceived value and its relation to other purchase-related constructs may inappropriately combine members from heterogeneous sub-populations, resulting in parameter estimates that are misleading (DeSarbo et al., 2001).”
Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach (2006, methodology): “Thus, the path model for our example with experimental data consists of one endogenous latent variable Satisfaction, two exogenous latent variables Price and Quality in the inner model (Dillon et al. 1997; Desarbo et al. 2001).”