Deriving Performance Indicators From Models Of Multipurpose Shopping Pattern

Abstract

The concept of multipurpose shopping patterns has gained increasing attention in retail research as consumers engage in a variety of activities beyond traditional purchasing when visiting retail environments. This paper aims to explore the derivation of performance indicators from models of multipurpose shopping patterns. Drawing upon recent literature, this study synthesizes various approaches to understanding and analyzing multipurpose shopping behaviors and proposes a framework for deriving performance indicators. The framework considers key dimensions such as conversion rate, basket size, dwell time, repeat purchase rate, customer satisfaction score, foot traffic, inventory turnover rate, cross-selling, customer lifetime value, and others. By systematically examining these dimensions, retailers can gain insights into consumer behavior, optimize operations, and enhance overall performance in an increasingly competitive market. The proposed framework provides a comprehensive guide for researchers and practitioners seeking to understand and measure the effectiveness of multipurpose shopping patterns in retail environments. Future research directions and practical implications are also discussed to facilitate further exploration and application of performance indicators derived from models of multipurpose shopping patterns.. The findings reveal that tourists exhibit distinct multipurpose shopping patterns, ranging from those primarily seeking bargains to those focused on luxury goods or specific product categories. Additionally, the study highlights the influence of factors like nationality, travel purpose, and trip duration on shopping behavior. By understanding these multipurpose shopping patterns, duty-free shop operators can tailor their marketing strategies, product offerings, and store layouts to better meet the diverse needs of tourists. This configurationally perspective offers a nuanced understanding of tourist behavior in duty-free shops, providing valuable insights for retailers and marketers in this sector.