Search results

The purpose of this paper is to disentangle the interactions between logistics operators and government stakeholders in cross-border logistics operations with a specific focus on the UK and Brazil.

The research builds on supporting literature. The comparative cases of the UK and Brazil are examined by reference to an extensive series of focus group workshops as well as a series of interviews with key informants. Care was taken to make sure that comprehensive engagement the respective business and government communities were in place, and that there were opportunities to feedback on the analysis.

Suggestions were provided on how to improve the business–government interactions in cross-borders logistics operations. The analysis considered transaction costs and scope for trade facilitation. The research also helped produce a descriptive model of business–government interactions in cross-border logistics operations.

The paper points to new directions in the understanding of how businesses interact with government agencies, and the kind of issues they face in cross-border logistics operations. However, the research only looked at two countries and there is significant scope for further enquiry within the logistics literature.

Reduced transaction costs at the border and subsequent economic opportunities for the UK and Brazil.

A list of practical reform recommendations informed by the business communities of the UK and Brazil.

This paper’s original contribution to the literature is its framework for the analysis of transaction costs associated with the business–government interactions in cross-border logistics operations. In addition to the resulting findings in Brazil and the UK it may serve as a template for research elsewhere.

This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.

The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship.

Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity.

The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship.

Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements.

Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels.

Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.

The purpose of this paper is to analyze the process of why a Brazilian digital startup company reached unicorn status the fastest.

After the literature review, the authors conducted the questionnaire containing 13 questions used in 18 in-depth interviews conducted in the case study. Saturation point combined with the independent and in-depth analysis of the researchers is used to achieve internal and external validity. The primary data collected underwent an analytical approach, followed by a resource-based view (RBV). RBV does not deal with time. There is a gap in the literature and an opportunity here: to analyze the fastest company to become a unicorn under the RBV lens.

The case reveals that value can be found in traditional sectors, as is the case of the real estate sector. This is a case of a company in the direct home-buying space.

The contribution of this paper is both practical, with the seven lessons, and theoretical. Resources allocated to a specific context in a specific geographic region shift the attention away from the absolute value of resources to the timing of aggregating them. Thus, the contribution accounting for time is new to the RBV.

The originality lies in the analysis of the dynamics of digital businesses with exponential growth.