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The purpose of this paper is to examine the role of founding team experience (industry and venturing) in new venture creation. This paper posits the following questions: How does founding team experience influence the likelihood of new venture creation, in the nascent stage? How does industry context moderate this relationship? The study aims to fill an important gap in the literature by unpacking the impact of different types of founding team experiences on venture outcome, and by focusing on the influence of founding team in the venture creation process, specifically at the nascent stage.

The paper utilizes data from the Second Panel Study of Entrepreneurial Dynamics, a longitudinal data set of 1,214 nascent entrepreneurs in the USA. Logistics regression was employed to analyze the effect of founding team experience on new venture creation. Post hoc analysis was conducted to ensure the confidence of the findings.

The paper provides empirical insights about how founding team experience influences the likelihood of new venture creation in the nascent stage. At the nascent stage, founding team industry experience positively affects new venture creation while founding team venturing experience does not. However, in the high-technology industry environment, the influence of the founding team’s venturing experience on new venture creation is stronger than that in the low-technology industry environment.

Due to the design of the data set, there is a risk of “right-censoring” problem. Also, because the study used archival data on founding teams, the methodology did not allow for uncovering the underlying team processes and dynamics during the venture creation process based on learning from experience. Future studies are encouraged to examine other types of founding team experience and the underlying process-level factors on venture creation.

The paper provides important practical implications for nascent entrepreneurs/entrepreneurial teams on team assembling and composition. In general, a team with higher-level industry experience is critical for venturing success. A team with higher-level venturing experience is more desired in the high-technology industry.

This paper fulfills an important gap in the entrepreneurial team literature by highlighting the complex and nuanced ways in which founding team experience influences the likelihood of venture creation in the nascent stage of the firm, especially after incorporating the additional impact of the industry context.

The purpose of this pilot study was to identify the key factors that influence the decisions of entrepreneurs who are considering the creation of a new venture. The pilot was conducted to explore the cognitive antecedents of entrepreneurial decision-making and whether specific factors contribute to the decision to create a new venture.

The study utilised an inductive and interpretive research design within a constructivist paradigm. The sample comprised entrepreneurs situated in a business incubation unit who engaged in a series of semi-structured interviews. The results of this study will be used to refine the questions asked in preparation for a larger sample using in-depth interviews with identified entrepreneurs. The resulting narrative in this pilot was subjected to discourse analysis and is categorised into relevant themes.

The findings in this pilot study reveal that factors such as technological advancement, market opportunity, competition, customer demand and prevailing market conditions have a significant influence on the decision-making process involved in creating a new venture.

Although the pilot has identified several factors in entrepreneurial decision-making, further work will be needed in the research design to be able to expose the cognitive processes associated with each factor. The aim is to identify the common cognitive characteristics associated with thinking through the decision to create a new venture with a much larger sample of entrepreneurs.

The value of this research lies in exploring and developing a better understanding of the antecedent cognitive processes used by entrepreneurs for identifying unique, innovative new ideas and converting them into exploitable products or services through new venture creation.

The study aims to examine the development of student venture creation in a co-curricular business model lab initiative with collaboration between students, researchers, technology transfer offices (TTO) and industry. It presents a fresh approach to the study of student venture creation by discussing a unique co-curricular case, its embeddedness in a network and drawing on the concept of tension.

A qualitative, case-based research design is applied containing data from interviews, observations and active participation.

The findings point to the inherent difficulties in managing and organizing student venture creation and networks surrounding the student venture creation in a co-curricular setting that can lead to several different types of tensions. Episodes where task-, role-, process-, affective- and value-related tensions arise are identified. Furthermore, the findings highlight that affective-related tension is often an outcome of other types of tensions.

Our theoretical implications point to the importance of the context of student venture creation, but not only regarding curricular and co-curricular initiatives; depending on the context, such as if student surrogate entrepreneurship is used, different types of support structure might also be needed to enable student venture creation.

Research on the entrepreneurial university has mainly focused on entrepreneurship education and ventures created by researchers. This study responds to recent calls for research on the venture creation of students. The limited research conducted on student venture creation can be divided between curricular and co-curricular initiatives. Our research points out that many other contextual factors are of importance, such as the origin of ideas, student surrogate entrepreneurship, industry collaboration, team formation and expectations.

The paper faces artificial intelligence issues in the venture creation process, exploring how artificial intelligence solutions intervene and forge the venture creation process. Drawing on the most recent literature on artificial intelligence and entrepreneurship, the authors propose a set of theoretical propositions.

The authors adopt a multiple case approach to assess propositions and analyse 4 case studies from which the authors provide (1) more detailed observation about entrepreneurial process phases influenced by artificial intelligence solutions and (2) more details about mechanics enabled by artificial intelligence.

The analysis demonstrates artificial intelligence contributes alongside the entrepreneurial process, enabling mechanisms that reduce costs or resources, generate new organizational processes but simultaneously expand the network needed for venture creation.

The paper adopts a deductive approach analyzing the contribution of AI-based startup offerings in changing the entrepreneurial process. Thus, the paper provides a practical view of the potentiality of artificial intelligence in enabling entrepreneurial processes through the analysis of compelling propositions and the technological ability of artificial intelligence solutions.

This article explores the value of feasibility analysis for the pre-launch nonprofit enterprise. Similarities and differences between for-profit entrepreneurial ventures and nonprofit entrepreneurial ventures are outlined, and then the traditional format of feasibility analysis used by the entrepreneurial for-profit start-up is reviewed and analyzed. This four-stage analysis is then adapted to the needs of the nonprofit new venture enterprise. The benefits of doing a feasibility analysis for the nonprofit enterprise start-up are identified, and guidelines are suggested. An underpopulated research stream is identified and explained in this article for the start-up and early developmental phases of the nonprofit enterprise.

This empirical study examined links between entrepreneurial personality traits and perception of new venture opportunity in a sample of 207 respondents. Four entrepreneurial personality traits were included to predict respondents℉ perception of new venture opportunity. They are (1) achievement motivation, (2) locus of control, (3) risk propensity, and (4) proactivity.The results of multiple regression analysis show that three of the four entrepreneurial personality traits‐locus of control, risk propensity, and proactivity‐related significantly to perception of new venture opportunity in expected directions. Among the three personality traits, proactivity was found to have the strongest influence over entrepreneurial perception. No significant relationship was found between achievement motivation and perception of new venture opportunity. Among six control variables, only work experience was found to influence perception of new venture opportunity. This study explored links between entrepreneurial personalities and cognition and its results suggest that a combination of trait and cognition approaches contributes to a better understanding of entrepreneurial decision-making process. Both theoretical and practical implications were discussed.

Given the growing number of immigrant entrepreneurs in the USA, the purpose of this paper is to better understand the behaviors of this subgroup of entrepreneurs. Specifically, the paper aims to understand the unique challenges faced by immigrant entrepreneurs and how environmental challenges affect decisions to grow or abandon their ventures.

To make the theoretical arguments in this conceptual paper, the authors draw on the theory of planned behavior developed by Ajzen (1985), which suggests that a person’s behavior is predicted by their intention, and intentions are predicted by one’s attitudes, subjective norm and perceived behavioral control.

The paper provides theoretical insights on the effect of demands of immigration on the intentions of immigrant entrepreneurs to engage in three specific entrepreneurial behaviors: new venture formation, growth and abandonment. The authors propose that immigrant entrepreneurs deal with increased stress yet continue to maintain higher intentions to found new ventures compared to non-immigrants. Contrastingly, the authors also propose that the stress and obstacles immigrant entrepreneurs face reduce their intentions to grow their firms and increase their intentions to abandon their firms. The authors also explore entrepreneurial resilience as a possible moderating factor between stress and entrepreneurial intentions of immigrant entrepreneurs.

First, the authors do not distinguish between immigrants from different nations or parts of the world or having different backgrounds. Second, the authors do not fully develop or incorporate the element of coping. Also, our paper is limited to behaviors of immigrant entrepreneurs with micro- and small-businesses.

Venture capitalists could benefit from empirical results of these propositions as funding decisions may need to include consideration of the proposed effects of stress and demands of immigration.

This paper meets an identified need to examine the effects of immigrant-specific issues such as the demands of immigration on the behaviors of this growing group of entrepreneurs.

We examine the various components of entrepreneurial self-efficacy within the entrepreneurship literature from a measurement perspective. Two published entrepreneurial self-efficacy instruments are tested and compared. Additionally, we study how self-efficacy relates with many of the tasks and roles identified within the entrepreneurial new venture life-cycle. Our study suggests relationships between self-efficacy, perceived skills, and abilities to manage a new venture, and entrepreneurial intentions to start a new venture. We discuss relationships between entrepreneurship research and university teaching and make specific suggestions on how further work on improving measurement in entrepreneurship will benefit both research and teaching effectiveness.

Academic inquiry into entrepreneurial phenomena has had a rich history over several decades and continues to evolve. This editorial draws attention to the classics: seminal articles that make profound contributions to the development of an academic field in entrepreneurship studies. We focus on the formative years of entrepreneurship research, specifically the 1970s and 1980s, to identify classics using a key informant approach that surveys members of the journal editorial board. Each nominated classic is introduced and discussed by an editorial board member, with particular focus on research opportunities that may be pursued going forward. Analyzing classics allows for the recognition of substantive advances in entrepreneurship research and provides an opportunity to delve into the academic progress achieved in understanding entrepreneurial phenomena.

This work aims to explore the relationship between entrepreneurial ecosystems' (EEs) inputs and outcomes within a digital-technology-driven EE. Specifically, it focuses on how being part of an EE enhances digital technology adoption (DTA) and consequently facilitates EE outcomes.

This paper employs a single-case study approach, focusing on Italian EE. The data analysis is based on the researchers' direct observations and semi-structured interviews with the EE founders' teams and the top management of the small- and medium-sized enterprises (SMEs) operating therein. Given the novelty of the topic and the lack of a clear research framework of analysis, a qualitative method is well suited for studying digital-technology-driven EE, thus gaining rich data about the phenomenon in a real-life context.

The findings of the study reveal that when specific eco-inputs (financial, knowledge, social and institutional assets) are correctly exploited to enhance DTA, important outcomes, namely, SME competitiveness and new technology-based venture creation and development, are generated.

The paper contributes to a relatively unexplored topic in the existing literature on EEs and digital technology. Specifically, through the proposition of a conceptual model, it sheds light on the relationship among EE inputs, DTA and EE outcomes.