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To summarize and build on research that explores the influence of culture on team dynamics, particularly over time. Specifically, we explore culture and teams from a dynamic perspective by providing a framework for understanding both how culture influences team dynamics over time, and where interventions should be targeted at different points to maximize the potential benefits of cultural diversity.

Drawing from a prominent model of team development (Kozlowski, Gully, Nason, & Smith, 1999), we provide mechanisms through which culture exerts an influence, as well as the practical approaches that will be best suited for mitigating potential negative effects at different points in time.

We focus on the following phases: team formation, task compilation, role compilation, team compilation, as well as team maintenance. At first, surface-level characteristics and subgroup formation should be closely monitored along with interventions to develop a group identity when teams are being formed. Later on, emergent states (e.g., trust, conflict) can come to the forefront as team members can develop multiple memberships or yet be resistant to performing in an adaptive manner.

We identify key avenues for future research to serve as a foundation for those studying the cultural diversity within teams via temporal lens, including the role of context and going beyond Hofstede’s cultural dimensions.

Albeit research has started to accumulate regarding how culture influences teams through conflict, communication, trust, cohesion, and creativity, this chapter goes beyond current development to address when different cultural elements influence team dynamics.

The confinement resulting from the current COVID-19 pandemic is impacting all human activities. With technology, many of these activities such as business processes are being transformed. As such it is important to understand how these transformations are taking place and how to address the new challenges with equally innovative strategies.

The purpose of this chapter is to analyse and explain the influence of e-commerce as an independent variable, in consumption habits, and as a dependent variable, in times of COVID-19, for consumers in Durango Mexico. To do so, a quantitative methodology was adopted, in which each of the variables is diagnosed, followed by ANOVA and regression tests to determine the proposed relationship.

The findings show that e-commerce does have an impact on consumer buying habits in the city of Durango, that the ‘surf the internet’ dimension is the one that occurs most frequently and that price is the factor most highly valued by consumers.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.