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Entrepreneurship evolves in and around fields, particularly around the creation of opportunities. A central problem remains that entrepreneurial opportunities are both distributed among and co-created by embedded actors. We propose framing this in cultural terms as a “multiverse problem,” whereby entrepreneurial possibilities are understood within the bounds of a field, but also through traversing adjacent topographies. We argue that a focus on entrepreneurial moments captures important dynamics that bring together adjacent possibles, leading to drastically different pathways. The usefulness of this argument is illustrated in this paper through the articulation of a cultural cartographic approach to mapping and realizing entrepreneurial possibilities. We develop four principles of cultural cartography, apply them to several examples, and demonstrate implications to cultural entrepreneurship and adjacent theoretical traditions.

ONE of the chief elements of success in Public Library work is suitable accommodation for books and readers, and it is interesting to note that Mr. Andrew Carnegie has recognised this by granting his money, in most cases, for buildings only. This means that many new libraries will commence with the best conditions as regards accommodation, and so escape the disabilities attaching to some of the older libraries through being housed in adapted buildings. Adapted buildings are rarely a success from an administrative point of view, as I can testify from personal experience.

In this paper, we reflect on the origins and development of our theory of cultural entrepreneurship. We highlight the serendipity that was part of its genesis, and note how our arguments and thinking evolved over time with the literature. We conclude by suggesting some fruitful lines of scholarly focus moving forward, and emphasize the importance of context and cultural process in understanding our own ideational development as well as those of all entrepreneurs – whether they are involved in creating a high tech venture, solving a social problem, transforming a corporation or public agency, or contributing to some other socio-economic process.

The lynch‐pin Since its inception in 1921, the National Certificate System has been the lynch‐pin of technical education. This is evident from two main considerations: first, from the increasing upsurge of interest shown in the system since the first certificates were awarded to successful candidates in mechanical engineering in 1922 (see graphs I and II), and second, from the key position that this system has occupied in the course ladder schemes in many of our technical colleges, providing a stepping‐stone for part‐time and evening students en route to professional and technological qualification (see Course Scheme I).

Entrepreneurial ecosystems have become policy strategies to stimulate entrepreneurial activities, yet the current understanding underlying value creation and the factors influencing this value-capturing mechanism remains limited. In this chapter, we systematically review literature related to the entrepreneurial ecosystem, and we seek to provide a greater understanding of the value creation process within an ecosystem. The findings from our content analysis shed light on the multifaceted structures and drivers of the value creation process. The study contributes to studies and theory development in the field of entrepreneurial ecosystem literature and further advances potential future research.

The purpose of this study is to examine factors which influence responses on open‐ended evaluations of training courses.

Course participants completed open‐ended evaluation forms about their experience on a course. These consisted of 377 senior teachers attending a training programme dealing with child abuse. The course was repeated 17 times. The second training programme concerned teaching skills. This was attended by 231 postgraduates. The course was repeated 25 times.

Responses on open‐ended evaluation forms tended to be favourable with reference to “human related factors” and unfavourable when referring to “hygiene factors”.

It is suggested the way people complete evaluation forms is partly a reflection of their desire to see themselves as acting in a socially desirable manner. Interpretations made from such forms about the effectiveness or merits of any course should take this into account.

Provides a lot more information about open‐ended evaluations than is provided in the research methods texts. It is suggested that those who use open‐ended evaluations need to be particularly careful when they interpret them.

An emerging research stream focuses on the place-based ecosystems where artificial intelligence (AI) innovations emerge and develop. This literature builds on the contextual turn in management research and, specifically, work on entrepreneurial ecosystems. However, as a nascent research area, the literature on AI and entrepreneurial ecosystems is fragmented across academic and practitioner boundaries and unconnected disciplines because of disparate and ill-defined concepts. As a result, the literature is disorganized and its main insights are latent. The purpose of this paper is to synthesize research on AI ecosystems and identify the main insights.

We first consolidate research on the “where” of AI innovation through a scoping review. To address the fragmentation in the literature and understand how entrepreneurial ecosystems are associated with AI innovation, we then use content analysis to explore the literature.

We identify the main characteristics of the AI and ecosystems literature and the key dimensions of “AI entrepreneurial ecosystems”: the local actors and factors in geographic territories that are coordinated to support the creation and development of AI technologies. We clarify the relationships among AI technologies and ecosystem dimensions and uncover the latent themes and underlying structure of research on AI entrepreneurial ecosystems.

We increase conceptual precision by introducing and defining an umbrella concept—AI entrepreneurial ecosystem—and propose a research agenda to spur further insights. Our analysis contributes to research at the intersection of management, information systems, and entrepreneurship and creates actionable insights for practitioners influenced by the geographic agglomeration of AI innovation.

The purpose of this paper is to present qualitative evidence on the processes and forces that shape school administrator career paths.

An embedded case study approach is used to understand more than 100 administrator career transitions within the Delaware education system. Semi‐structured interview data were collected from 48 principals and assistant principals. Coding and analysis occurred through an iterative process, revealing patterns in processes and forces influencing the careers of school administrators.

While some career decisions are self‐initiated, most are influenced in part or entirely by other actors in the system, described as recruiting/tapping, requesting, reassigning, passing over, and removing. In self‐initiated decisions to move or stay, a number of “pushes” and “pulls” are identified. Findings also suggest the decision to stay‐equilibrium is driven by relationships with students and by district support.

Data are limited to Delaware and represent the voices of principals and assistant principals only. Patterns evident in the data suggest a need to further investigate administrator career behavior qualitatively, as well as directions for future research.

There is a need to better understand and improve local human resource processes in terms of recruitment and assignment of administrators. Additional research is needed to better identify processes and forces related to career decisions in order to improve leadership recruitment and retention.

This research represents the first large‐scale qualitative study of administrator career behavior and is an important companion to recent quantitative analyses in this area.

Entrepreneurs are increasingly relying on artificial intelligence (AI) to assist in creating and scaling new ventures. Research on entrepreneurs’ use of AI algorithms (machine learning, natural language processing, artificial neural networks) has focused on the intra-organizational implications of AI. The purpose of this paper is to explore how entrepreneurs’ adoption of AI influences their inter- and meta-organizational relationships.

To address the limited understanding of the consequences of AI for communities of entrepreneurs, this paper develops a theory to explain how AI algorithms influence the micro (entrepreneur) and macro (system) dynamics of entrepreneurial ecosystems.

The theory’s main insight is that substituting AI for entrepreneurial ecosystem interactions influences not only entrepreneurs’ pursuit of opportunities but also the coordination of their local entrepreneurial ecosystems.

The theory contributes by drawing attention to the inter-organizational implications of AI, explaining how the decision to substitute AI for human interactions is a micro-foundation of ecosystems, and motivating a research agenda at the intersection of AI and entrepreneurial ecosystems.

THIS paper is being written in a spirit of co‐operation between the automobile industry and the aircraft industry. If anything is said which may appear to be an attempt to detract from the splendid record of achievement of the aircraft industry, it should be remembered that it is not our intention to do so.