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Multi-Attribute Decision Making of Transition from Reserve Click & Collect to Pre-paid Click & Collect in Retail Industry: Analytic Hierarchy Process Method

Selahattin Bugra Yaman

Multi-Attribute Decision Making of Transition from Reserve Click & Collect to Pre-paid Click & Collect in Retail Industry: Analytic Hierarchy Process Method.

Rel. Giovanni Zenezini. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2024

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Abstract:

This research focuses on exploring the transition from Reserve Click & Collect to Pre-paid Click & Collect models within the retail sector using Analytic Hierarchy Process (AHP). AHP helps in selecting the most suitable model by evaluating criteria such as Cost Efficiency, Customer Experience, Pick-up Rate, Sale Amount, and Cost of Operation. A focus group of ten managers experienced in Click & Collect activations provided data through a survey for AHP analysis. Pair-wise comparison matrices were created, normalized, and analyzed to determine the importance weights of each criterion. The findings revealed that the Pre-paid Click & Collect model scored significantly higher in terms of overall suitability compared to the Reserve Click & Collect model. The consistency of the responses was validated using the Consistency Ratio (CR), ensuring the reliability of the results. The research argues that switching to Pre-paid Click & Collect will boost customer satisfaction and operational efficiency in the retail sector. Recommendations for successful implementation include developing a comprehensive plan, investing in supporting technology and training, and promoting the benefits of Pre-paid Click & Collect to customers. This research provides valuable insights and a structured approach for retail decision-makers considering a transition to Pre-paid Click & Collect, aligning with industry best practices and data-driven analysis.

Relatori: Giovanni Zenezini
Anno accademico: 2023/24
Tipo di pubblicazione: Elettronica
Numero di pagine: 30
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-31 - INGEGNERIA GESTIONALE
Aziende collaboratrici: Politecnico di Torino
URI: http://webthesis.biblio.polito.it/id/eprint/32002
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