EXPRESS: A Reference-Dependent-Preferences-Based Model of Extended Warranty Purchase Decisions

2021 ◽  
pp. 002224372110569
Author(s):  
Hyeong-Tak Lee ◽  
Sriram Venkataraman

Durable goods often come bundled with limited-time and sometimes generous factory/base warranties. Yet a sizable number of durable goods customers purchase extended warranties that they rarely make claims against. This study offers a reference-dependent-preferences-based theoretical explanation of why consumers purchase extended warranties even if their purchased good is already covered by a base warranty. Consistent with our theory of reference-dependent preferences, we show that consumers treat base warranties as a reference point, thereby creating a qualitative difference in the valuation of an extended warranty on the purchased product. Specifically, our theory model predicts that the loss aversion motivation for consumers with base warranties results in these consumers valuing extended warranties more favorably than their peers purchasing identical products without a base warranty. The authors validate the predictions from the theory model using observational data from the automobile industry and show how the reference-dependent-preferences-based effect varies with vehicle quality and with macroeconomic conditions. The analyses reveal autobuyers' elevated loss-aversion motivations and higher price sensitivity during weaker macroeconomic conditions than during more robust macroeconomic conditions. Finally, the authors use the empirical model to identify opportunities for auto dealers to engage in targeted price promotions as a function of prevailing macroeconomic conditions. These findings have important implications for marketing managers, as they provide valuable guidance on when an extended warranty should be promoted, to whom and what extended warranty should be marketed.

2016 ◽  
Vol 25 (7) ◽  
pp. 687-699 ◽  
Author(s):  
Hooman Estelami ◽  
Peter De Maeyer ◽  
Nicholas Estelami

Purpose Research in marketing has extensively examined the signaling effects of product warranties on consumer perceptions. Although this stream of research has focused on initial product warranties offered by the manufacturer, studies of extended warranties, which protect consumers against product breakdowns beyond the warranty constraints of the manufacturer, are relatively scarce. This paper aims to empirically establish the effects of variables which influence the pricing of extended warranties for consumer durables. Design/methodology/approach Using data on over 8,000 product offers in six durable goods categories, drivers of the annual premiums for extended warranties are empirically identified. Bivariate and multi-level hierarchical linear regression methods are used to establish the effects of factors which may drive the prices of extended warranties. Findings The results reveal that the standardized annual premiums for extended warranties systematically vary across product categories and brands and are further affected by the retailer’s decision to use odd price endings for the sold product and the extended warranty. The influences of warranty length and price level of the protected product on extended warranty premiums are also empirically established. Research limitations/implications The findings indicate systematic variations in extended warranty prices as a result of the factors studied. Future research can extend this line of inquiry by utilizing alternative means of data gathering. Practical implications Given that marketers often cross-sell many consumer durable goods with extended warranty policies, and considering the growth in consumer spending in this category, as well as the high retail margins associated with extended warranties, this paper contributes to the understanding of the mechanism by which extended warranty prices are determined in the marketplace. Originality/value This is the first study to examine the determinants of extended warranty prices, as past studies have been normative and non-empirical in nature.


2021 ◽  
pp. 1-13
Author(s):  
Josh Matti

This paper explores how emotional cues from unexpected sports outcomes impact consumers’ perception of their experience at local businesses. Using nearly 1 million Yelp reviews from the Phoenix area, I empirically test for the presence of loss aversion and reference-dependent preferences in reviewer behavior. Consistent with loss aversion, unexpected losses lead to worse reviews while there is no effect for unexpected wins. The impact of unexpected losses is concentrated in home games, with no effect for away games. The results also reflect reference-dependent preferences since wins and losses in games predicted to be close do not impact reviewer behavior. Consumer services that cater to National Basketball Association fans (e.g., sports bars) experience pronounced effects.


Author(s):  
Yen-Yao Wang ◽  
Chenhui Guo ◽  
Anjana Susarla ◽  
Vallabh Sambamurthy

This study examines the dynamic relationships between firm-generated content (FGC), user-generated content (UGC), traditional media, and offline light vehicle sales. Data were collected from the official Facebook and Twitter pages of 30 U.S. car brands from 2009 to 2015. Our results suggest that Facebook and Twitter are heterogeneous in terms of their effect on offline vehicle sales; FGC is more effective than UGC for influencing offline light vehicle sales; viral impressions from Facebook and Twitter are essential, although effects vary for the various social media platforms, FGC, and UGC; and a firm’s marketing efforts and UGC both have a long-term effect on sales, with the long-term effect of a firm’s marketing efforts outlasting that of UGC. We also documented the within-Twitter synergistic effect between FGC and UGC for offline car sales and cross-channel substitution relationships between FGC and both Facebook and traditional media and Twitter and traditional media. Our study implies that managers who attempt to maximize multichannel marketing for offline sales of durable goods should consider (1) the nature of each platform, (2) the number of potential audiences each platform can reach, and (3) the user basis of each platform.


2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Du Zhao ◽  
Xumei Zhang ◽  
Tinghai Ren ◽  
Hongyong Fu

This paper examines optimal pricing in a two-tier product and service supply chain consisting of a manufacturer and a retailer in the context of vertical competition in extended warranty in two cases: one considering the retailer’s fairness concerns and one without considering the retailer’s fairness concerns. A manufacturer-dominated product and service supply chain game-theoretic model on the Stackelberg model is developed to analyse how the level of vertical competition in extended warranty service and the intensity of a retailer’s fairness concerns influence the optimal pricing of products and extended warranties for the manufacturer and retailer. This study finds the following: (i) Two parties of the supply chain employ differential pricing strategies for extended warranties when the retailer has fairness concerns. (ii) Compared to the same pricing strategies for extended warranty service when the retailer has no fairness concerns, the increase of competition intensity of vertical extended warranty service will enlarge the price difference of extended warranty service. Meanwhile, it is the intensity of fairness concerns that determines the influences of retailer’s fairness concerns on the price difference of extended warranties. (iii) If no fairness concerns are raised, an increase in the level of vertical competition in extended warranty service would benefit both supply chain parties, rather than hurting their profit. If the retailer is fair-minded, its fairness utility increases when the intensity of the fairness concerns rises in a reasonable range and decreases when the intensity exceeds the reasonable range, but for the manufacturer, its profits will be damaged as long as the retailer raises fairness concerns.


2015 ◽  
Author(s):  
Vijay Viswanathan ◽  
Byoung Woo Kim ◽  
John P Sheppard ◽  
Hao Ying ◽  
Kalyan Raman ◽  
...  

This study examines how processes such as reward/aversion and attention, which are often studied as independent processes, in fact interact at a systems level. We operationalize attention with a continuous performance task and variables from signal detection theory, and reward/aversion with a keypress task using variables from relative preference theory. We find that while the relationship between reward/aversion and attention is functionally invariant, a power law formulation akin to the Cobb-Douglas production function in economics provides the best model fit and theoretical explanation for the interaction. These results indicate that a decreasing signal-to-noise with signal detection results in higher loss aversion. Furthermore, the estimated exponents for the multiplicative power law suggest capacity constraints to processing for attention and reward/aversion. These results demonstrate a systemic interaction of attention and reward/aversion across subjects, with a quantitative schema raising the hypothesis that mechanistic inference may be possible at the level of behavior alone.


2013 ◽  
Vol 103 (7) ◽  
pp. 2911-2934 ◽  
Author(s):  
Jiawei Chen ◽  
Susanna Esteban ◽  
Matthew Shum

To investigate whether secondary markets aid or harm durable goods manufacturers, we build a dynamic model of durable goods oligopoly with transaction costs in the secondary market. Calibrating model parameters using data from the US automobile industry, we find the net effect of opening the secondary market is to decrease new car manufacturers' profits by 35 percent. Counterfactual scenarios in which the size of the used good stock decreases, such as when products become less durable, when the number of firms decreases, or when firms can commit to future production levels, increase the profitability of opening the secondary market. (JEL L13, L25, L62, L81)


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rexford Abaidoo ◽  
Elvis Kwame Agyapong

PurposeThis study examines how specific micro-level macroeconomic indicators influence corporate performance volatility among US corporate bodies in the short run.Design/methodology/approachThe study employs error correction autoregressive distributed lagged (ARDL) model (ECM) to examine how micro-level variables influence volatility associated with corporate performance in the short run.FindingsThis paper finds that disaggregated or micro-level variables examined, tend to exhibit features that are not readily apparent from the aggregate variable from which such variables are derived. For instance, reported empirical estimate suggests that, growth in expenditures on services and nondurable goods tend to lower volatility associated with corporate performance, whereas government expenditures and expenditures on durable goods rather worsens volatility associated with corporate performance, all things being equal. Additionally, presented empirical estimates further provide evidence suggesting that macroeconomic uncertainty and inflation uncertainty significantly moderate or influence the extent to which disaggregated variables impact corporate performance volatility.Originality/valueCompared to related studies in the reviewed literature, this study rather examines volatility associated with corporate performance instead of the corporate performance indicator itself. Additionally, this paper also examines how disaggregated variable instead of aggregate variables impact such volatility. Finally, the moderating role of key macroeconomic conditions in such a relationship is also examined.


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