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This chapter addresses two identified weaknesses in entrepreneurial ecosystem studies: there is a lack of focus on the relationships between the components of entrepreneurial ecosystems and little understanding of the underlying processes that determine how entrepreneurial ecosystems change over time. Both entrepreneurial ecosystems and solutions ecosystems from social entrepreneurship studies are place-based complex adaptive systems that are emergent in nature. While neither of these ecosystem types can be controlled, they can be influenced and guided to follow a direction by designing conditions for emergence and transitions. In this chapter, the proposition that an online tool, that is used to strengthen solution ecosystems and support their emergence and transition, could also be used to strengthen entrepreneurial ecosystems and guide their emergence and transition is examined. Two cases are used to investigate this proposition: a food security solution ecosystem case study that demonstrates how the online tool is used for solution ecosystems, and an impact economy entrepreneurial ecosystem case study that highlights how the online tool could be used for an entrepreneurial ecosystem. It is demonstrated in this chapter that the online tool can be used to address the current weaknesses of entrepreneurial ecosystem studies. In addition, it is suggested that by combining solution ecosystems with an impact economy entrepreneurial ecosystem, the online tool can be used to support the creation of conditions for social entrepreneurial places to emerge that are capable of addressing the most pressing problems that places face including the sustainable development goals.

Talking about smart cities also entails talking about new ways of mobility. Various concepts compete for reimagining future mobility, most prominently connected cars, robo taxis, and other forms of shared mobility. New digital technologies, changing customer requirements, but also new competitors are dynamically affecting previous market logics. To stay future-proof in this new world of mobility, the automotive sector, which is an important nucleus for developing such mobility solutions, is currently undergoing fundamental digital transformation processes. Established car manufacturers have to find their path to choose out of the many possibilities on the rise. Against this backdrop, they face the major challenge to find an answer to the question: Who are we and who do we want to be in the future? Therefore, we argue that organizations’ digital transformation is highly entangled with questions on organizational identity and discuss digital transformation as a potential identity threat for established organizations.

We begin this chapter by introducing the concept of organizational identity. Afterward, we will continue with applying it to the practical context of car manufacturers: After depicting the major trends of digitalization in the mobility and automotive sector, we will focus on the digital transformation processes of established automotive companies and discuss their impact on organizational identity. Empirical illustrations of the Volkswagen case depict our theoretical considerations.

We provide theoretical ideas for better understanding the impact of digital transformation on organizational identity, as well as suggestions for practitioners concerned with organizations’ digital transformation processes.

Leadership training has led to a large amount of research due to the belief that such training can lead to (or more precisely cause) positive changes in followers’ behavior and work performance. This chapter describes some of the conditions necessary for research to show a causal relationship between leadership training and outcomes. It then describes different research designs, employed in leadership training research, and considers the types of problems that can affect inferences about causality. The chapter focuses on the role of randomization of leaders (e.g., into training vs. non-training conditions) as a key methodological procedure and alludes to problems of achieving this in field settings.

Climate change is a global threat to social, economic, and environmental sustainability. In an increasingly urbanized world, homeowners play an important role in climate adaptation and environmental sustainability through decisions to landscape and manage their residential properties.

In this chapter, we review the potential impacts of climate change on environmental sustainability in urban ecosystems and highlight the role of urban and suburban residents in conserving biodiversity. We focus extensively on the interactions of homeowners and residential landscapes in urban coastal and desert environments.

Understanding how human-environment interactions are linked with a changing climate is especially relevant for coastal and desert cities in the United States, which are already experiencing visible impacts of climate change. In fact, many homeowners are already making decisions in response to environmental change, and these decisions will ultimately shape the future structure, function and sustainability of these critically important ecosystems.

Considering the close relationship between biodiversity and the health and well-being of human societies, understanding how climate change and other social motivations affect the landscaping decisions of urban residents will be critical for predicting and enhancing sustainability in these social-ecological systems.

The issue of trust in Industry 4.0 is extremely important from an organization’s perspective. The dynamic development of 4.0 technologies implies wide-ranging changes, which, in order to be implemented effectively, require cooperation based on trust. The purpose of this literature analysis is to identify key research areas regarding trust in Industry 4.0 and to identify further research directions.

Based on a comprehensive literature analysis, the most prominent areas of research on trust issues in Industry 4.0 will be presented (k=36). This chapter will also identify and discuss directions for further research.

The results of the analysis enable to illustrate the trends of science development in the area of Industry 4.0, as well as to identify key issues related to trust. Moreover, the research problems for further studies on the analyzed issue will also be indicated.

The research presented here identifies key Industry 4.0 technologies that are based on trust.

The review provides a valuable resource for practitioners regarding the critical aspects of implementing Industry 4.0 with respect to trust.

This is the first comprehensive literature review diagnosing research areas, technologies, and directions for future research on trust in Industry 4.0.

Team cohesion and other team processes are inherently dynamic mechanisms that contribute to team effectiveness. Unfortunately, extant research has typically treated team cohesion and other processes as static, and failed to capture how these processes change over time and the implications of these changes. In this chapter, we discuss the characteristics of team process dynamics and highlight the importance of temporal considerations when measuring team cohesion. We introduce innovative research methods that can be applied to assess and monitor team cohesion and other process dynamics. Finally, we discuss future directions for the research and practical applications of these new methods to enhance our understanding of the dynamics of team cohesion and other processes.