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@article{195422,
        author = {Neha and Dr. Jai Pal Sharma},
        title = {Designing and Validating a Scale for Measuring Customer Perceptions in the Food Sector: A Reliability and Validity Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {134-143},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195422},
        abstract = {In order to measure the perception of customer particularly in food sector, this study aimed at developing and validating a measurement scale of customer perception in food sector. Items were generated using a systematic scale development process. Data was collected from 600 respondents residing in Haryana, a State in the Northern part of India, for analyzing the data EFA and CFA has been used to initially explore the factors and then to confirm the factors extracted in step one using SPSS and confirmatory factor analysis using AMOS software respectively. In the context of the food industry, the study provides a measurement scale for customer perceptions. The present study will be useful for the retail managers to identify key improvement areas that will help to increase the revenue as well as develop the reputation of the restaurants and outlets. It also contributes to increasing the knowledge of academicians and researchers about the key determinant that affects customers’ perception of retail food outlets. This study will be useful for the retail food outlets to formulate their strategies which will make them able to create strong relationship with the existing customers along with attracting the potential customers.},
        keywords = {Customer Perception, Food Sector, Scale Development, Food Quality, Service Quality, Atmosphere, Price, Convenience},
        month = {April},
        }