There is a plethora of research on organisational design elements of corporate venture capital (CVC) programs. However, the fragmented nature of this vein of corporate venturing research has led to an inconsistent picture regarding the organisational design of CVC programs. The goal of this study is to provide a holistic picture for both scholars and practitioners by integrating empirical research on the design of CVC programs. Therefore, the study employs a systematic literature review approach including a sample of 41 studies published from 1987 to 2023. For a systematic assessment of design elements of CVC programs, an inductive concept development approach is used to illustrate four main design dimensions–personnel, corporate relationship management, investment operating model and portfolio relationship management–which reflect 69 descriptive design elements. While previous studies have mainly looked at individual design dimensions of CVC programs from a strategic perspective, this paper presents comprehensive view on organisational structures of CVC programs by identifying building blocks of CVC design according to chosen objectives and available typologies. By specifying and allocating design dimensions to structural types and objectives of CVC programs, this study may also serve as a foundation for further research on the concepts which prevent high rates of early abandonment of CVCs.

Discussion in the scholarly literature about partnerships between entrepreneurs and universities for the creation of technological spinouts, and for helping universities to extract more value from their technology-related intellectual property (IP), is lively. However, the literature exhibits a gap in understanding how business schools may participate in the process of technology commercialization by facilitating the creation of intellectual property rights. In this conceptual paper, we seek to fill this gap in three ways. First, we offer some novel conceptual insights by studying the partnership between technical universities and entrepreneurs using a multi-level approach, incorporating a phenomenological research method, through the lenses of several established theoretical perspectives from the domains of economics, social science, and management: the division of labor, motivation, the nature of the firm, organization, and IP. Second, we develop a working hypothesis focused on learning reinforcement through multiple organizational levels that predicts how business schools may play a prominent role in technology commercialization, together with the theoretical conditions under which they may do so. Third, we offer an IP management model under which business schools, as such, may create and appropriate financial value by generating innovation-related IP that may be transferred to enterprises. Our research reveals a misalignment between promising approaches to university-based technological innovation suggested by normative theory and typical approaches associated with extant practice; and it also highlights a strategic issue, which is that the performance of most universities in the domain of technology transfer is disappointing. We suggest a way to address this misalignment, and this strategic issue, which is through the establishment of what we label as "Technology Innovation Laboratories" in business schools-analogous to technical laboratories usually associated with technical universities-that could generate various types of product- or service-related IP. This type of intellectual property-typically different from invention IP, and which we label here as "business IP"-could be exchanged for equity in spinouts or royalties from licensing, similar to the manner in which the invention IP of technical universities is usually commercialized.

Entrepreneurship through acquisition (ETA) is gaining momentum as a viable alternative to starting a company on one’s own. However, despite its growing practical relevance, scholarly work about ETA is scarce and has not been comprehensively reviewed. To address this gap, we conduct a systematic review of entrepreneurship literature by identifying studies that examine ETA and its outcomes. Our review methodology was developed based on established guidelines for systematic reviews and protocols, which informed our scoping review process and analytical approach. Searches were conducted on three electronic databases, and inclusion/exclusion criteria were applied. For inclusion, studies must examine an entrepreneurial perspective in buying into a company. Quantitative and qualitative data were extracted for thematic analysis and descriptive statistics. ETA is an entrepreneurship model with growing appeal and relevance in practice but limited academic evidence. While there is extensive research on leveraged buyouts and family-external succession, evidence specifically on ETA is still lacking. In particular, knowledge about the entrepreneurial intent that makes ETA unique is absent from the evidence base. As ETA gains momentum, entrepreneurs need to understand the unique properties, the various approaches, and the upsides and eventual downsides of acquiring a business instead of starting one from scratch. The present work may serve as a starting point for future research as we scope existing evidence on the archetype of ETA and identify a definition, available models, and a process archetype.

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.

Innovation in small and medium enterprises (SMEs) is often the result of technology-driven or market-pull entrepreneurship activities. So far, although its importance in practice, as well as in academia continues to grow, extant research exhibits little theory about the process of technology-driven entrepreneurship in SMEs. The study aims to better understand how technology-driven entrepreneurship processes transform business in SMEs in the manufacturing industry. Therefore, we developed a technological entrepreneurship (TE) process framework by utilizing the flexible pattern matching approach (FPMA). We iteratively compared a priori patterns from existing theoretical knowledge to empirical findings that emerged from in-depth interviews with corporate executives in the manufacturing industry. The framework highlights the TE process in SMEs leading to four output components: (1) corporate-function-related, (2) business-model-related, (3) competitiveness-related, and (4) customer-related. This study makes a unique contribution to academia by being the first that develops a TE process framework tailored to SMEs from the manufacturing industry. We point out that sustainable growth and competitiveness of SMEs depends on appropriate TE process management, and we underline the strategic importance of TE-driven transformation for SME managers. Our study expands the scope of TE and SME research and provides empirically grounded insights into technology-driven innovation.

Artificial intelligence is spreading rapidly in business products and processes, with innovations that bring great benefits to society; however, significant risks also arise. AI-enabled systems make decisions autonomously and influence users and the environment, presenting multiple ethical issues. This work focuses on the ethics of AI use in business. We conduct a survey of business journal articles published between 2000 and mid-2021 to identify the most influential journals, articles, and authors, the most influential ethical schools, and the main ethical issues of AI in business. It describes the state-of-the-art in the field and identifies trends in ethical issues arising from AI. Thus, we present maps and trends of the ethics in AI in business literature.

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.

Purpose Facing increased asset prices and growing competition, private equity firms needed to innovate their established business model and shift from focusing on financial engineering to creating operating value. Yet, the authors understand little about how private equity firms increase the value of companies in their portfolios. This paper aims to shed light on organizational strategies, activities and governance principles that private equity firms use to create value. Design/methodology/approach This investigation combines several qualitative research approaches. Using in-depth interviews with executives in 35 private equity firms, the authors define industry-specific design principles for value creation using a Gioia methodology. They then use the Eisenhardt methodology to make in-depth case comparisons among sample firms. Findings Private equity firms employ one of four strategies – labeled “Infiltrator,” “Consultant,” “Organizer” or “Investor” – to create value in portfolio companies, each with a different organizational structure, level of cooperation between investor and portfolio firm and specific configuration of design elements. Originality/value To the best of the authors’ knowledge, this study is the first to focus on private equity value creation strategies from an organizational perspective. To their knowledge, no other publication has tapped this deeply into the interface between the private equity firm and the portfolio company to define the exact approach taken by the firm. This study contributes to the emerging discussion around the nonfinancial inputs to value creation. In addition, this qualitative research design is underrepresented in private equity research.

Digitisation is key for staying competitive. However, the impact of digitisation on small- and medium-sized enterprises (SME) business performance remains under-researched in the extant literature. To make effective technology adoption decisions, entrepreneurs need to understand the concrete added value of and return on digital solutions. Towards this end, a systematic literature review is conducted by analysing 124 publications in peer-reviewed journals between 2009 and 2019. Articles were extracted from commonly used databases including EBSCOhost, Emerald, ResearchGate and ScienceDirect. A state-of-the-art report on digital value creation was delivered. The analysis reveals 14 verified added values that can be ranked according to number of mentions and classified into financial as well as strategic digital benefits. The most cited returns are efficiency and effectiveness, cost reduction, productivity growth, customer satisfaction, and competitive advantage. The most quoted digital solutions are social media, websites, cloud computing, and data analytics.

Purpose The purpose of this paper is to review the development of the German advertising industry starting from 1950 to 2018 with a special focus on the American influence. Design/methodology/approach The paper uses the oral history methodology. The content is based on 27 semi-structured interviews with current and former experts from the German and American advertising industry. An analysis of secondary sources supports the line of argumentation. Findings The paper confirms the outstanding role of the American influence on the German advertising industry, owing to new standards of professionalism, to novel versions of terminology and to the introduction of the theory of marketing. However, incompatible management styles, increasing global competition and financial pressure diminished the impact. Likewise, the American interference did not suppress the development of specific German industry characteristics such as a strong entrepreneurial culture or sustainable leadership. Originality/value This paper provides an overview of the history of German advertising with a focus on advertising agencies in the period from 1950 to today (2018). Further, this paper assesses the special impact of the American influence on the German advertising industry. Further, subjects of investigation are particularities of the German advertising industry, such as special attributes of agency leaders and their relationship with clients, distinct versions of ownership structures, agency service offerings and, finally, the role of creativity.