Integrated Approach for Mobile Sales App Feature Classification: Kano Model and BBWM Perspective

Necip Fazıl Karakurt () and Selcuk Cebi
Additional contact information
Necip Fazıl Karakurt: Tekirdag Namik Kemal University
Selcuk Cebi: Yildiz Technical University

Chapter Chapter 10 in Advances in Best–Worst Method, 2025, pp 181-197 from Springer

Abstract: Abstract This research focuses on the examination of mobile sales applications, aiming to enhance the understanding of user preferences by employing a comprehensive methodology. Through an extensive review of the literature, a feature set comprising 33 distinct elements was identified. Subsequently, an in-depth classification study was conducted using the Kano model, where surveys were administered to assess user satisfaction with each feature in the identified set. The outcomes of the Kano model classification were integrated into a feature weighting analysis through the application of Multi-Criteria Decision Making. The classification information derived from the Kano model was incorporated into a hierarchical grouping process using the Bayesian Best Worst Method (BBWM). A comprehensive online survey involving 628 participants was conducted within the scope of BBWM, leading to the determination of feature weights for each of the 33 features. Additionally, binary importance rankings and reliability values, also known as credal rankings, were obtained to provide designers with insights into the pairwise importance levels among features and their associated reliability. The study proposes an innovative approach that combines the Kano model and BBWM, demonstrating the synergistic application of feature classification methods and group decision-making techniques. The results highlight the potential for designers to employ methodologies such as BBWM alongside feature classification models like the Kano model to effectively predict and prioritize product features, offering valuable insights for future product design endeavors.

Keywords: Sales applications; Kano model; Bayesian Best Worst Method (BBWM); Feature classification; User preferences (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-76766-1_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031767661

DOI: 10.1007/978-3-031-76766-1_10

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().