No abstract

No abstract

No abstract

No abstract

No abstract

Companies are increasingly looking for ways to understand and profitably leverage digital transformation with a vast amount of new communications and computing technologies. Despite the potential for digital transformation to generate substantial economic benefits, very few businesses have undergone successful digital transformations. However, evolving consumer attitudes and behaviors, technological advances, new competitive pressures, and laser thin margins, accelerated by the COVID-19 pandemic, are driving digital transformation in the grocery business. Brick and mortar, e-commerce companies, as well as new startups, are making major investments in all aspects of the digital grocery ecosystemthe online shopping experience, automated picking, delivery, and the digital supply chain. Retailers are connecting their investments to enhanced customer loyalty, revenue, and ultimately profit. This research-based on inductive methods-aims to discuss key drivers and technologies utilized in digital grocery business and contributes by introducing a model of digital grocery ecosystem to better understand digital transformation of the grocery business.

Marketing analytics (MA) is a relatively new but increasingly prominent field in which data tools are applied to quantify and monitor marketing performance and customer information to optimize investments in marketing programs and maximize customer interaction. MA is a subdiscipline of broader analytics and includes the people, processes, and technology to generate insights that improve marketing performance. In this B2B study, the authors established an initial set of factors, with the help of deep subject matter experts in the field, which help determine the degree to which a firm's marketing function is analytically driven. The research builds on extant theories of market orientation and lays the foundation for the development of a new construct known as marketing analytics orientation through qualitative research methods.

This research examines the strength of Arab American ethnic identity as well as the degree of socialization with Arab friends and family, on the consumption of culture-specific products such as Middle Eastern food, dress, and entertainment. An online survey was employed to produce a diverse sample from 230 Arab Americans. The results demonstrate that the strength of Arab American ethnic identity positively predicts the consumption of Middle Eastern food, dress, and entertainment and that this effect is amplified through socialization with other Arabs as opposed to socialization with Anglo Americans. At the same time, independent of ethnic identity and socialization, the results demonstrate that Arab Americans are more likely to consume Middle Eastern than Anglo American food but much less likely to consume Middle Eastern than Anglo American dress and entertainment. Accordingly, the present research reveals that ethnic identity and socialization with the same ethnic group are important variables that predict the consumption of culture-specific products but that, independent of those variables, Arab Americans are not nearly as inclined to consume certain culture-specific products such as Middle Eastern dress and entertainment as they are Anglo American dress and entertainment.