Journal Article

·2021 OPEN ACCESS

Identification of Consumer’s Preference towards Store Image: Using Analytical Hierarchical Process Technique

Musarrat Shamshir , Shahzad Nasim , Zaibunnisa Siddiqi , Muhammad Ali Raza , Muhammad Sameer Ahmed YTU

Journal of Southwest Jiaotong University

Abstract

This study aims to identify consumer preferences for store image using the Analytic Hierarchy Process. Analytic Hierarchy Process is a Multiple Attribute Decision-Making technique used to observe, rank, and select a set of options under contradictory characteristics. Consumer preference refers to the individual's behavior when purchasing, consuming, or disposing of any specific product or service. Multiple factors can affect these behaviors. The store's attractive features are the factor affecting store image, dimension, and sub-dimension of store image. Data were collected from 29 experts. Experts are selected based on their experience of shopping in a shopping mall in Pakistan and industry. A bipolar questionnaire was used to collect data. This study explored the main dimensions of store image: convenience, price, quality, atmosphere, and safety. Further, the study's findings indicate that these dimensions of store image are important for marketers, which provides awareness regarding the psychological elements of customers that influence their perception of store image and helps the marketer recognize and forecast the customer's demand.

Keywords

Purchasing Dimension (graph theory) Analytic hierarchy process Identification (biology) Preference Set (abstract data type) Quality (philosophy) Consumer behaviour Hierarchy Computer science Product (mathematics) Process (computing) Perception Marketing Image (mathematics) Store brand Advertising Business Operations research Psychology Artificial intelligence Engineering Mathematics Economics Statistics

Subject Areas

Consumer Retail Behavior Studies ·Marketing ·Social Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Peace, Justice and strong institutions 45%