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From ego to equity
(2024)
Purpose
This study aims to investigate the association between narcissistic tendencies, gender and funding success in high-growth start-ups. It aims to bridge a critical research gap by exploring the combined effect of gender and narcissism on start-up funding success.
Design/methodology/approach
The authors surveyed 540 founders of high-growth start-ups in Germany, Austria and Switzerland, using the NPI-16 questionnaire to assess narcissistic tendencies. By focusing on high-growth start-ups as opposed to small firms, the authors enhanced the validity of the sample. This study isolates and analyses the effects of gender and narcissism, providing insights into their individual and combined contributions to start-up funding success.
Findings
The findings reveal that gender is associated with lower start-up funding and lower narcissistic tendencies. This highlights the intricate relationship between gender, narcissism and funding success within the context of high-growth start-ups.
Practical implications
These findings have important implications for investors, policymakers and entrepreneurial educators, suggesting that a nuanced understanding of founders’ psychological traits could enhance funding strategies and start-up support mechanisms.
Originality/value
This research addresses the critical gap in the literature by examining the joint influence of gender and narcissism on funding success in high-growth start-ups. The study contributes to a nuanced understanding of the factors shaping founder psychology and performance dynamics, offering valuable insights for future research in gender, narcissism and start-up success.
Purpose
The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.
Design/methodology/approach
Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.
Findings
The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.
Originality/value
AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.
Purpose
Recent years have seen a meteoric rise in the study of narcissism in entrepreneurship, although little consolidation has occurred in this area. The purpose of this paper is the development of an integrative framework to harmonise the academic discussion and serve as a structured foundation for future research.
Design/methodology/approach
The authors conducted an artificial intelligence-aided, structured literature review focused on content analysis of concepts and contexts to map out current findings and research gaps in startup narcissism research.
Findings
According to the findings of this study, narcissistic tendencies have the potential to positively influence startup success early on in an entrepreneur's journey, but after a certain point in the process, the influence of narcissism on success becomes predominantly negative.
Research limitations/implications
The research field is currently not very harmonised regarding research measures, research subjects and key research terms. Further research must use a standardised approach to add value to the research body.
Practical implications
Narcissism is a two-sided sword for founders. In the early stages of a company, many of the founder’s tasks can benefit from narcissistic tendencies. In the later stages of a company, that might shift to overwhelmingly negative effects of narcissism.
Originality/value
Methodically, this study is the first one to establish an artificial intelligence component to add value to the results of a review paper to the best of the authors’ knowledge. The results of this study provide a clear framework of entrepreneurial intention, entrepreneurial activity and entrepreneurial performance to give researchers the opportunity of a more differentiated way of organising work.