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The USA is culturally and ethnically diverse and becoming more so. This diversity is reflected in the variety of cuisines available both in stores and in restaurants. Trends show a movement towards trying out new and exotic foods, increasing interest in vegetarian items, as well as a growing use of spices, herbs, and hot peppers. Asian foods are getting more popular with cuisines from China, Thailand, and Japan in the lead. Indian cuisine is hot, spicy, flavored with herbs, and offers many vegetarian options. This study examines the perceptions of White Americans, South Asians, and those of other ethnic origins in their perceptions of the food and service in Indian restaurants in the USA. The findings of this study suggest that there are universal likes/dislikes as well as differential perceptions between ethnic groups. Implications for researchers and operators of Indian restaurants are provided.

The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption.

This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry.

The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%.

To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.