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This study focuses on memorable customer shopping experience design in the sporting goods retail setting. It aims to identify the phygital customers' needs and expectations that are satisfied through in-store technologies and to detect the in-store strategies that use these technologies to make the store attractive and experiential.

This exploratory study adopted a qualitative research methodology, specifically a multiple-case study, by performing semi-structured interviews with sporting goods store managers.

Sporting goods retailers use various in-store technologies to create a phygital customer shopping experience, including devices, mobile apps, wireless communication technologies, in-store activations, support devices, intelligent stations, and sensors. To improve the phygital customer journey and the phygital shopping experience, retailers meet customers' needs for utilitarian, hedonic, social, and playfulness experiences. Purely physical or digital strategies, as well as phygital strategies, are identified. This research also proposes a model of in-store phygital customer shopping experience design for sporting goods retailers.

Sporting goods managers can invest in multiple technologies by designing a physical environment according to the customers' needs for utilitarian, hedonic, social, and playful experiences. In addition, they can improve the phygital customer shopping experience with specific push strategies that increase customer engagement and, in turn, brand and store loyalty.

This study highlights how the phygital customer experiential journey can be created through new technologies and improved with specific reference to the sporting goods stores.

Fast iterative algorithms for designing birefringent filters with any specified spectral response are proposed. From the Jones formalism, we derive two polynomials representing the transmitted and rejected response of the filter, respectively. Once the coefficients of the filters are obtained, the orientation angle of each birefringent section and the phase shift introduced by each compensator can be determined by an iterative algorithm that gives an efficient solution to the birefringent filter design problem. Afterward, some design examples are presented to demonstrate the effectiveness of the proposed approach. In comparison with results reported in the literature, this approach provides the best performance in terms of accuracy and time complexity.