Maximizing, choice freedom, and duration judgments in choice making

Rogge, Nicky

doi:10.1002/cb.1668

Cited by 5 publications

(6 citation statements)

References 70 publications

(135 reference statements)

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“…Building on the findings of previous studies (see Misuraca and Teuscher 2013;Rogge 2017), our research contributes to the maximization literature by further investigating the underlying mechanism of the relationship between maximization and time estimation. Our work delves into the realm of maximization from a memory perspective, revealing an interesting phenomenon: Maximizers experience a memory decay for special (or low commonality) information during the decision-making process.…”

Section: Discussionmentioning

confidence: 88%

“…Previous research has demonstrated that people are sensitive to time costs, and most decisional behaviors are strongly affected by time estimation (e.g., Ackerman and Gross 2003; Mantel and Kellaris 2003; Rogge 2017). However, previous work has largely ignored the role of time estimation in maximizers' excessive investment of time.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the relationship between maximization and time estimation, two previous studies compared maximizers and satisficers in their retrospective estimation of decision time (see Misuraca and Teuscher 2013; Rogge 2017). However, one study by Rogge (2017) reported no statistically significant relationship between the tendency to maximize and the accuracy of their duration judgments for the amount of time spent making a choice. Notably, in Rogge's study, both underestimation and overestimation were considered inaccurate, without clarifying whether maximizers tend to underestimate or overestimate their decision time.…”

Section: Introductionmentioning

confidence: 99%

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How Maximizers Estimate Their Decision Time: The Mediating Effect of Memory Reduction

Huang,

2024

Behavioral Decision Making

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Previous studies have divided people into maximizers and satisficers based on their tendency to seek the best in decision‐making. In the present research, we aim to unravel the time estimation process of maximizers in decision‐making through four studies. The results indicate that maximizers tend to underestimate the time spent in decision‐making, which is due to the difference in their memory reduction for decision‐related information compared to that of satisficers. Specifically, maximizers' memories of special information (rather than common information) become worse than those of satisficers, which leads to their underestimation of decision time. These findings provide a deeper understanding of how maximizers estimate their decision time, which offers important insights into how maximizers make their decisions. Overall, this research contributes to the literature by shedding new light on maximization from the perspective of memory.

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Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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How Maximizers Estimate Their Decision Time: The Mediating Effect of Memory Reduction

Huang,

2024

Behavioral Decision Making

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“…If the site requires them to "dig deeper," then they might very well quit the site. The second type, Optimizers, will seek comprehensive information and will leave if such information is not available (Mittal, 2016, Rogge, 2017. In contrast, Balanced diligents will seek information on important dimensions but without having to spend exorbitant effort.…”

Section: Shopper Needs Skills and Personalitymentioning

confidence: 99%

The Abandoned E-Tailer Shopping Cart: Factors and Business Strategies to Reverse the Barriers

Mittal¹

2023

JGSM

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During the COVID-19 pandemic and due to the lockdown of physical stores, consumers' online buying activity increased substantially, and now in the post-COVID era, it is going to continue. One problem of great concern to e-tailers has long been the high rate of shopping cart abandonment. About two-thirds of all online shopping carts get abandoned, costing e-tailers huge lost sales. Over last two decades, consumer researchers have investigated the consumer psychology behind this consumer act. This body of literature is fragmented and a comprehensive list of factors that drive cart abandonment does not exist. Drawing upon the available literature, we build such a list, aligning it alongside the customer journey.Because a list of the causes of cart abandonment does not exist, a comprehensive management guide for action to curb the abandonment does not exist either. In the trade press, blogs and promotional ideas do exist, but they are fragmented and are not grounded in any conceptual framework. We propose that trust is a fundamental force at every stage of the customer journey, a force or factor that propels the customer in their forward journey, and its absence causes the customer to abandon their online shopping carts. We propose that trust is warranted at three different loci (or facets) in the customer journey, and we map separate "trust builders" for each locus or facet.We next depict both the causes of abandonment and its rescuers (i.e., actions to save the cart) in a wheel model comprising five sectors. This wheel model serves both as a conceptual grounding and as a visually helpful managerial guide for strategic action. These actions are next mapped against the characteristics of strategic management. It is shown how actions to control cart abandonment interface with strategic management. We offer this wheel model for empirical test by future academic researchers. Just as important, this model can also serve e-tailers in their adoption and implementation, by some of them in A/B test protocols as prelude to large scale adoptions.

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“…A greater number of options increase the perceived cost of lower satisfaction with the choice (Szrek, 2017). Rogge (2017) also stated that the quality of the choice also decreases with a higher number of options. Chernev, Böckenholt, and Goodman (2015) argued that a greater variety of options may lead to the postponement of the choice, higher probability of change and to a bias toward easily justifiable choices.…”

Section: Rege 262mentioning

confidence: 99%

Purchase decision and purchase delay of hedonic and utilitarian products in the face of time pressure and multiplicity of options

Basso

Duschitz

Giacomazzi³

et al. 2019

REGE

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Purpose Time pressure may change how people behave. The multiplicity of options and the nature of the products, hedonic or utilitarian, might increase the complexity of the choice and alter the effects of time pressure. Combining both factors, the purpose of this paper is to verify the moderating role played by the nature of the products observing the relationship between interaction (time pressure × multiplicity of options) and choice delay. Design/methodology/approach A two-level factorial experimental design was applied (time pressure: with; without) × 2 (number of alternatives: two; six) × 2 (type of purchase: hedonic; utilitarian), with mixed design, considering the purchase delay a dependent variable. Findings The results signal that the nature of the products moderates the effects of the interaction between time pressure and choice overload in purchase delay. Utilitarian purchases are more susceptible to the effects of time pressure and options overload than hedonic purchases. Originality/value The interaction between time pressure and choice overload, researched in previous works, influences in different ways the purchase of utilitarian or hedonic products. This differentiation, taking into consideration the type of product, brings new perspectives on the purchase decision process and provides theoretical and practical information on the effects of information overload and time pressure over the consumer decision-making process.

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Maximizing, choice freedom, and duration judgments in choice making

Cited by 5 publications

References 70 publications

How Maximizers Estimate Their Decision Time: The Mediating Effect of Memory Reduction

How Maximizers Estimate Their Decision Time: The Mediating Effect of Memory Reduction

The Abandoned E-Tailer Shopping Cart: Factors and Business Strategies to Reverse the Barriers

Purchase decision and purchase delay of hedonic and utilitarian products in the face of time pressure and multiplicity of options

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