Is utilizing themes an effective scheme? Choice overload and categorization effects within an extensive online choice environment

Yun, Joseph T.; Duff, Brittany R. L.

doi:10.1016/j.chb.2017.04.038

Cited by 7 publications

(12 citation statements)

References 23 publications

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“…When items of a choice set are comparably attractive, and especially when they additionally consist of incomparable features, the chances of overchoice increases [15,22]. Furthermore, a factor that has shown to play a significant role is domain expertise [70,85,96]. Domain experts are less prone to be overwhelmed by the increasing number of choices, and therefore, overchoice is less likely to occur.…”

Section: Study B -Categoriesmentioning

confidence: 99%

Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services

Ferwerda

Yang

Schedl

et al. 2019

Multimed Tools Appl

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Music streaming services increasingly incorporate different ways for users to browse for music. Next to the commonly used "genre" taxonomy, nowadays additional taxonomies, such as mood and activities, are often used. As additional taxonomies have shown to be able to distract the user in their search, we looked at how to predict taxonomy preferences in order to counteract this. Additionally, we looked at how the number of categories presented within a taxonomy influences the user experience. We conducted an online user study where participants interacted with an application called "Tune-A-Find". We measured taxonomy choice (i.e., mood, activity, or genre), individual differences (e.g., personality traits and music expertise factors), and different user experience factors (i.e., choice difficulty and satisfaction, perceived system usefulness and quality) when presenting either 6-or 24-categories within the picked taxonomy. Among 297 participants, we found that personality traits are related to music taxonomy preferences. Furthermore, our findings show that the number of categories within a taxonomy influences the user experience in different ways and is moderated by music expertise. Our findings can support personalized user interfaces in music streaming services. By knowing the user's personality and expertise, the user interface can adapt to the user's preferred way of music browsing and thereby mitigate the problems that music listeners are facing while finding their way through the abundance of music choices online nowadays.

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Section: Study B -Categoriesmentioning

confidence: 99%

Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services

Ferwerda

Yang

Schedl

et al. 2019

Multimed Tools Appl

View full text Add to dashboard Cite

show abstract

“…The past research on categorization focused primarily on the type of category labels. The types of labels studied are informative and uninformative (Langner & Krengel, 2013; Lewis & Gill, 2016; Mogilner et al, 2008), thematic (Poynor & Diehl, 2007; Yun & Duff, 2017), goal‐related categorization (Poynor & Haws, 2009), benefit and attribute‐based (Lamberton & Diehl, 2013), unexpected subcategory format (Poynor & Wood, 2010), and taxonomic (Yun & Duff, 2017).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Past research on categorization has studied different types of informative and semi‐informative category labels (Mogilner et al, 2008; Langner & Krengel, 2013; Poynor & Diehl, 2007; Poynor and Wood, 2010; Yun & Duff, 2017). However, the research on uninformative categorization is scarce and with contradictions.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Category ratio: A search for an optimal solution to reduce choice overload

Sharma

Nair

2023

J of Consumer Behaviour

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This paper endeavors to find an optimal solution to alleviate the harmful consequences of choice overload using assortment categorization. Past research on assortment categorization has primarily studied the type of category labels. Only a few studies focused on the number of category labels, and the extant research is inconclusive on the right number of labels. This paper argues that the number of options under each label is more important in reducing choice overload than the number of labels. We call the number of options under each label “category ratio”. We integrate the research from four streams to recommend an optimal range of category ratio. In a field and a lab experiment, we tested the optimal category ratio as an intervention in the reduction of choice overload. The results of both experiments found a significant reduction in choice overload for the optimal category ratio. In experiment 3, we manipulated the category ratio to test whether the optimal category ratio is better than the non‐optimal category ratio. The results of experiment 3 found that consumers experienced more satisfaction for the optimal category ratio than both uncategorized assortment and non‐optimal category ratio. Past research has found that fewer labels and uninformative categorization are not helpful in the choice process. This paper finds that a few labels are beneficial only when the category ratio is within the proposed optimal range. Uninformative labels also reduced choice overload when categorized using the optimal category ratio.

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“…Defined as a model in which “a service provider integrates their security services into a corporate infrastructure on a subscription basis” (Olavsrud, 2017), SecaaS provides scalable and up-to-date security applications as a means to adapt to rising security standards and helps justify the cost of employing and managing security controls by offering flexible pricing models (Senk, 2013). SecaaS can also remedy the situation in which the adoption of a high number of security tools attenuates the organizations' ability to contain the fast-changing and ever-growing cyberattacks by using a unified console that outlines IT security (Getov, 2012; Yun and Duff, 2017).…”

Section: Introductionmentioning

confidence: 99%

Investigating the role of internal security resources in post-adoption satisfaction with the Security-as-a-Service model: an organizational mindfulness perspective

Vedadi,

Brooks,

Greer

2023

JEIM

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PurposeMany organizations struggle to utilize security-as-a-service (SecaaS) advantages effectively, thus challenging the assumption that adopting the SecaaS model will necessarily lead to post-adoption satisfaction. This research paper draws on the organizational mindfulness theory and investigates the factors that lead to satisfaction with SecaaS.Design/methodology/approachThe key informant-based survey approach was employed to collect data from 215 organizations that were using the SecaaS model. PLS was used for data analysis.FindingsOrganizations with greater extents of internal security resources report higher satisfaction levels with SecaaS, thanks to the mediating effect of organizational mindfulness, and that organizations with extensive and mature security auditing were especially well-positioned to experience satisfaction with SecaaS.Originality/valueThis research provides new theoretical insights into the conditions under which organizations' post-adoption satisfaction with the SecaaS model is shaped by investigating the role of internal security resources and organizational mindfulness.

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Is utilizing themes an effective scheme? Choice overload and categorization effects within an extensive online choice environment

Cited by 7 publications

References 23 publications

Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services

Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services

Category ratio: A search for an optimal solution to reduce choice overload

Investigating the role of internal security resources in post-adoption satisfaction with the Security-as-a-Service model: an organizational mindfulness perspective

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