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As businesses become more sophisticated and welcome new technologies, artificial intelligence (AI)-based methods are increasingly being used for firms' pricing decisions. In this review article, we provide a survey of research in the area of AI and pricing. On the upside, research has shown that algorithms allow companies to achieve unprecedented advantages, including real-time response to demand and supply shocks, personalized pricing, and demand learning. However, recent research has uncovered unforeseen downsides to algorithmic pricing that are important for managers and policy-makers to consider.

Motivated by a lack of evidence regarding the effect of migration on entrepreneurship in a highly informal country, such as Colombia, this paper has a twofold purpose. First, it explores how Venezuelan immigration affects entrepreneurial activity in Colombian regions. Second, it intends to shed light on this relationship, by distinguishing between formal and informal sectors.

With a sample of 1,776,063 individuals, from the Labor Survey Gran Encuesta Integrada de Hogares (GEIH) from the Departamento Administrativo Nacional de Estadística (DANE), the authors employ an instrumental variable approach to account for the selection of immigrants into locations with more or less desirable conditions.

The results suggest Venezuelan immigration positively influences self-employment and own-account workers, but negatively affects employers. However, once these immigrants proliferate in the informal sector, the effects increase.

This paper brings new insights into the intersection between immigration, unofficial economies, and entrepreneurship. First, while the prior literature focuses on migration from developing to developed countries, migratory flows between developing economies and its effects on local entrepreneurial activity remain unexplored. Second, although informality is mostly common in developing countries, little (albeit growing) evidence of its role in the relationship between migration and entrepreneurship research exists. Finally, the authors bring together these two phenomena to enhance our understanding of different types of entrepreneurial activities when immigration and informality take place. Policy implications are derived from these insights.

This paper examines the relationship between government economic development programming and entrepreneurial activity, by examining evidence in Southern California cities. While numerous studies explore this relationship between government institutions and entrepreneurship at the level of countries and states, significant questions remain at the level of city government, and the influence of local government economic development programs on city-level entrepreneurial activity.

This paper uses regression analysis of data from all 215 Southern California cities to decompose the complex relationships between economic development programming and different types of entrepreneurial activity.

Results suggest startups are attracted to cities with higher crime rates, more diversity, and older populations, yet not those with higher levels of economic development programming. There is evidence that some types of economic development programming may influence entrepreneurship, especially for the level of minority-owned businesses.

The paper makes three important contributions to the literature. First, it is among the first to use local (city-level) entrepreneurship as an outcome variable to measure the effect of government economic development programming. Many scholars have instead chosen to look at outcomes relating to general economic growth (e.g. new jobs) rather than outcomes specific to local entrepreneurship. Second, it explores city-wide entrepreneurial activity with respect to numerous measures, such as start-ups, minority and female ownership, and self-employment. Third, it examines the potential influence of economic development programming, both on aggregate and decomposed into economic development program clusters.

“Dora! Dora!” squealed my 18-month-old son from his stroller on the crowded subway platform. I scanned the crowd but could not locate the source of his excitement. Then a young girl turned her back to us and I saw on her purple backpack the face of “Dora the Explorer,” whose name had made its way into my son's small vocabulary. This scene could have easily taken place in any city or town in the US; young children of all ethnicities are familiar with Dora's animated television program. Worldwide, parents have spent over $3 billion on Dora the Explorer merchandise since 2001, and most products feature English and Spanish phrases (Jiménez, 2005). And Dora is not alone: her show was just the first in a recent wave of animated educational children's programs featuring Latino main characters and dialogue in Spanish.

There is a consensus in the literature on entrepreneurship on the crucial role of environmental conditions in the identification, development, and quality of entrepreneurial initiatives. Given the relevance of entrepreneurship and the lack of evidence, academic debates request more evidence regarding the main determinants of entrepreneurial activities in emerging economies. Inspired by these academic debates, the objective of this chapter is to provide a better understanding of the role of entrepreneurship in Mexico. Our preliminary results allow us to identify applied research trends to study the entrepreneurial spirit in Mexico, as well as elements to discuss the myths, realities, and challenges faced by Mexican entrepreneurs during the last government administration. Our chapter contributes with implications for entrepreneurs, researchers, and decision-makers.

Since the 1970s and 1980s, subsequent waves of so-called ‘new immigration’ have arrived in the United States and Europe. In the United States, this immigration started with the arrival of immigrants and asylum-seekers from Mexico, Central America and Asia. In Europe, the trend began with the influx of Turkish and Moroccan immigrants and continues today with the ongoing refugee crisis. Anti-immigrant politicians on both sides of the Atlantic have adopted exclusionary and often xenophobic rhetoric to further their policies, arguing that these new immigrants and their children cannot assimilate into Western society. A literature review reveals why the classical linear theory of second-generation assimilation is no longer relevant and proposes the contemporary segmented assimilation and comparative integration context theories developed by US and European researchers. A presentation of the findings of two state-of-the-art studies – the CILS project for the United States context and the TIES project for the European context – provides empirical evidence that, despite undeniable obstacles, the new second generation can assimilate into Western education systems and labour markets. Nonetheless, gaps in the existing literature also suggest the need for further research to create a more generalisable theory of second-generation assimilation before appropriate policy measures can be implemented.

Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.