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Religion plays a crucial role as a sociocultural factor to assess consumer behavior. Stemming from the above, this study aims to analyze the impact of religion and ethnic concern on the purchase intention (PI) of consumers based on the theory of planned behavior.

The research method adopted for this study includes a meta-analysis of the extant literature for the past 20 years focusing on the relationship between religiosity and PI. Data of 24 values from 23 studies were used to assess the impact of religiosity on the PI of consumers.

The findings of this study indicate that religiosity has a strong impact on the PI of consumers. Further, this study identifies that location, sample size and product category play a vital role as moderators toward the relationship between religiosity and PI. This study identifies critical and pertinent implications for brands as they reach out to religious and cultural groups across various geographies, in the context of identifying target markets and adapting marketing strategies.

This study acts in response to the consistent call for research to focus on religion-related variables and fills the gap calling for empirical research into religiosity and its impact on PIs. This study makes notable theoretical, managerial and methodological contributions to the field.

The purpose of this paper is to contribute to the lean manufacturing literature by providing a roadmap for pull production control system (PCS) implementation.

Axiomatic Design (AD) methodology is used to develop the proposed pull PCS transformation roadmap.

The proposed design methodology is validated in a real-life manufacturing system. The results show that the proposed methodology significantly reduces the design efforts. The methodology effectively helps to choose the most appropriate pull PCS and determine its operational settings with respect to the manufacturing system characteristics.

This study presents only one case study to test the proposed methodology. In future studies, the validity of the proposed method can be further generalized in different manufacturing sectors by real-life implementations.

In many real-life lean production projects, companies do not know where to start or how to proceed, which leads to repetitive design efforts and inefficient designs. The developed roadmap of this study minimizes incorrect or imperfect design trials and increases the success of pull production transformation projects.

The implementation of pull PCS requires extensive design knowledge and expertise. Therefore, many real-life applications fail due to costly and time-consuming trial-and-error-based design efforts. In the literature, there is no comprehensive guideline or roadmap for pull PCS implementation. To address this issue, this study provides a novel holistic roadmap to transform an existing push PCS to pull. The proposed methodology uses AD principles and combines fragmentary studies of the pull production literature.