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In the ever-evolving digital landscape, this study aims to explore which specific personality traits contribute to the innovativeness of startups, with a particular emphasis on understanding how technology adoption mediates this relationship. By doing so, the authors strive to unveil the nuanced dynamics of personality, technology adoption and startup innovativeness in the digital era.

The authors conduct a quantitative empirical analysis using a sample of 1,314 German startups. This study utilizes a mediation analysis to examine the effects of personality traits on the innovativeness of startups, taking technology adoption as a mediator into account.

The empirical results show certain personality traits have direct effects on innovativeness. Also, the results show that technology adoption is a driver of startup innovativeness. In addition, these traits are (partially) mediated by technology adoption.

The results shed new light on the interplay of entrepreneurs' personality and technology adoption in relation to startup innovativeness and therefore underline the importance of technology in this triangular relationship. The authors employ secondary data from startups in Germany, which complicates generalization of the results to other geographical and cultural contexts.

This study contributes to the scientific debate on the role of personality traits in entrepreneurship by providing empirical evidence on the mediating effect of technology adoption in the relationship between personality traits and startup innovativeness. The findings offer valuable insights for researchers, entrepreneurs and policymakers interested in understanding and promoting innovativeness in the context of startups.

Most studies investigating the adoption of lean startup (LS) practices by technology new ventures focus on software startups in mature entrepreneurial ecosystems and disregard their applicability for opportunity exploitation in other technological backgrounds. This study contributes to this research stream by exploring how Brazilian technology new ventures (in different technological fields) tentatively adopt LS to exploit opportunities and whether LS is suitable to their emerging economy context.

The authors adopt an exploratory multiple-case study based on qualitative data collection and analysis of nine Brazilian biotechnology, engineering and software startups.

The study shows how technology new ventures tackle the activities of opportunity exploitation – namely, developing a product or service, acquiring human resources, gathering financial resources and setting up the organization – by leveraging LS tools and practices for business model validation; also, it identifies six contextual constraints hindering the systematic adoption of LS and reveals how technology new ventures cope with such constraints in their early stages by integrating LS with complementary strategies and practices. Furthermore, the study reveals that the systematic and comprehensive adoption of LS nurtures the development of an entrepreneurial experimental capability to explore opportunities in a quasi-scientific and hypothesis-driven fashion.

The study investigates how Brazilian engineering, biotechnology and software startups exploit opportunities and overcome constraints to business model validation through the combined adoption of LS and complementary strategies and practices and provides a set of propositions to guide future research.

The purpse of this study is to examine sustainable technology development (STD) during the “Valley of Death” phase encountered by university startups undertaking intellectual property rights (IPR) commercialisation.

A comprehensive literature review was conducted after searching for relevant documents across multiple databases. Semi-structured interviews with university startup founders were also conducted as part of a qualitative case study.

This study resulted in two significant findings. First, the Valley of Death has been redefined in the specific context of IPR commercialisation by university startups. Second, the sustainable technology development framework (STDF) has been conceptualised to enhance the success rate of IPR commercialisation by university startups. The authors also identified three essential components of STD in the context of university startups: market development, technical efficiency and business sustainability.

This exploratory research involved a thorough literature analysis. Given that only one qualitative case study was conducted, data saturation was not achieved. Further empirical research is needed to validate the conceptualised STDF.

The validated STDF will be a useful tool for enhancing the success of IPR commercialisation by university startups.

While others have focused on innovating business models, this study focused on an underexplored area: the sustainability of technology development during the commercialisation of IPR by university startups during the Valley of Death phase.

As part of the entrepreneurial journey, high-tech entrepreneurs are faced with the need to develop a competitive value proposition and leverage emerging technology to strengthen the value proposition. Entrepreneurial pivoting can be adopted to address this requirement since it enables the startup to validate and refine the company’s strategy and business model. Therefore, this research study provides an empirical investigation of the pivoting concept explained in the context of the lean startup approach (LSA) and technology entrepreneurship to improve the understanding of the entrepreneurial journey for high-tech entrepreneurs.

A qualitative research method was conducted by interviewing 30 high-tech entrepreneurs across the United Kingdom to validate the theories behind the LSA and identify new insights on entrepreneurial pivoting.

The research study has validated the existing types of pivots and identified two new pivots (giving 16 in total). The study has validated the existing 11 factors that trigger a tech startup to change its direction and identified three new factors (giving 14 in total). The research study also determined that there can be a domino effect in pivoting and the value proposition can be created and sustained through pivoting.

This study provides empirical evidence on pivots and the factors associated with pivots. Furthermore, it helps in understanding the influence of the phases of technology entrepreneurship on pivoting. The study also discusses the challenges faced by tech startups while pursuing pivots, the domino effects in pivoting and has found evidence that pivoting eventually leads to achieving the desired results.

This paper aims to analyze the influence of technology-based business incubators (TBIs) on the resources of technology startups in Brazil. The authors identify which resources are offered and explore the importance of resources for TBIs and startups. The theoretical background is based on the resource-based view, the resource dependency theory and total factor productivity.

The study is characterized by a descriptive approach. The method includes a multiple case study and a survey. For data collection, we conducted interviews with three managers from TBIs and distributed questionnaires to 30 startup founders. The content analysis supports the identification of the resources, while the quantitative approach explores the relationship between total factor productivity and resources.

Resources are the linkage between startups and TBIs, promoting the development and continuity of these organizations. Among the resources offered by TBIs, the most representative is physical resources, due to the early stage of startups. TBIs do not offer financial resources directly but facilitate access through networks with other actors.

The research implications depict the importance of resources as a link between TBIs and startups. The results highlight how TBIs play an important role in promoting entrepreneurship and innovation in the context of emerging economies such as Brazil.

This article performs a multi-theoretical analysis, addressing the perspectives concerning resources. No previous study has used this combination of perspectives to analyze the relationship between TBIs and startups in Brazil, filling the gap about this subject in emerging economies.

Startups are associated with innovation, emerging technologies, digitalization and disruptive business models. This article aims to provide a better understanding of startups in logistics and supply chain management, organizes the contemporary discussion around startups in the supply chain ecosystem and outlines opportunities for future research.

This study draws on the prior supply chain, logistics and entrepreneurship literature and discusses key themes along the six identified startup issues. Furthermore, it proposes several perspectives and theories for grounding future research.

This study discusses the roles and success factors of startups in the supply chain ecosystem. It lays out how startups need to organize their own supply chains, how supply chain management (SCM) startups incubate and accelerate their ventures, the financing of SCM startups, as well as their positions as service providers, suppliers and customers.

This research brings together the sparse and dispersed literature on startups in the supply chain ecosystem, motivating scholars to increase the involvement of startups as important stakeholders in SCM research.

The purpose of this study is to analyze the factors affecting startup development and the entrepreneurship ecosystem's contribution to it.

A quantitative methodology is used for data collection from different startup owners working across Pakistan. It is a cross-sectional descriptive study, which investigates the causal effect of variables at a definite point in time. Non-probability convenient sampling was used for selecting available startups from the incubation centers. The sampling framework consists of the founders of the startups that have been previously incubated at any of the selected incubation centers.

Regression analysis results from 165 responses of entrepreneurs and incubation centers demonstrate that the most important factors affecting startup development were financial access, government support, marketing challenges, education, technology and managerial skills in order of occurrence. Entrepreneurship ecosystem also proved to have a very positive impact on the relationship of these factors with startup development.

In this paper, the factors that affect the development of startup are analyzed and recommendations are provided.

This research is comprehensive, as we have collected data from actual entrepreneurs and incubation centers to explain how entrepreneurs initiate their startup business by considering their managerial skills. As such, this study is unique in that the data comes from newly developed incubations centers in one of South Asia's fastest-growing economies.

Digital technologies have become indispensable in businesses and are gaining attention in academic institutions context too. Digital technological ecosystems provide a platform to communicate and share their products and services to existing and potential customers. Entrepreneurial startups and companies face internal and external challenges utilizing social media technologies to commercialize their business ideas. The purpose of this paper is to identify opportunities and challenges faced by academic entrepreneurs' startups.

This research has adopted a qualitative approach comprising of semi-structured in-depth interviews with academic entrepreneurs’ startups to find the main challenge they face using social media platforms. The purpose was associated with an exploratory type of study and also included a prominent unified theory of acceptance and use of technology (UTAUT) and technological opportunism (TO) model. The research respondents were 23 academic entrepreneurs startups who were chosen applying purposive sampling. Respondents were given a set of a questionnaire consisting of close-ended questions that are five-point Likert scale. The questionnaire included various parameters to measure the social media challenges the academic entrepreneurs’ startups undergo in the initial phase of their businesses.

The study identified that business-to-customer relations, brand, reputation, competition and cultural and language influence digital technologies entrepreneurship. While, the findings discovered the extended research model has a positive influence on academic entrepreneurs' intentions to use digital technologies media platforms. The outcome of this paper has thrown more light on which issues are there in digital technologies entrepreneurship, the determinants and actual usage advantages from UTAUT model and TO model that could be properly employed to solve issues of digital technologies media platforms and the potential concerning the adoption and use of digital technologies.

The study of academic entrepreneurs' startups can be considered original in nature. There is dearth of standard literature in the upcoming area of academic entrepreneurship. Governments are taking initiatives to promote academic entrepreneurs' startups, and the findings will be able to give them a right direction.

Tech startup is the new hope for sustaining economic growth and job creation in a knowledge-based economy. However, research on the entrepreneurial ecosystem (EE) is always constructed upon macro-level analysis and is still very limited to the developed economies. This study aims to tackle those issues by exploring the connections within an EE in an emerging economies context with a micro and meso-level social network approach to unravel the pattern of networks and interactions between each actor in the EE.

This research used multi-layered social network analysis, exploring actors in the ecosystem and their interactions. The authors conducted interviews with startups, support organizations and government agencies. The authors used Atlas.ti software to visualize the network structures.

The authors found that the content of interaction within the EE in the emerging economies differs greatly with EE in the developed economies and they produced distinctive characteristics as follows: lack of a dense network, resource scarcities and structural gaps and weak institutional policies.

The research is based on a case study of tech-based EE in Yogyakarta, Indonesia. Therefore, the authors encourage other researchers to investigate networks and connections in other EEs in emerging economies. This research contributes a conceptual framework to better understand the network of connections in an emerging-economies-based EE.

The research shows grants provision alone cannot contribute to the functioning of EE. The authors argue strategic networks which promote collaboration among actors can reduce holes and structural gaps, as well as resource scarcities in the ecosystem. In addition to that, strong institutional policies and effective policy integration are needed to create a successful EE.

This research promotes the importance of networks, particularly networks between tech startups and strategic organizations to provide resources and support productive entrepreneurship in hopes of sustaining and accelerating tech startup growth within an EE.

The research proposes to add to the existing EE literature by shedding light on governance of EE, as well as exploring network of connection and interaction among actors within the ecosystem. As a result, the study addresses the need for a more micro or operational-level understanding of an EE. Recent calls for EEs literature have also focused on a certain actor’s dynamic function in the ecosystem. By focusing on the role of the government, the research added to the underdeveloped EE literature.

The purpose of this research study is to empirically investigate the Figma prototyping technology adoption factors among entrepreneurship and innovation libraries for providing support to startups by developing and evolving the prototype solutions in collaboration with health libraries.

This study uses the technology adoption model (TAM) as a framework and the partial least squares structural equation modeling (PLS-SEM) method of structural equation modeling (SEM) using SmartPLS 3.2.9 software version to investigate the prototyping adoption factors among entrepreneurship and innovation libraries for rural health innovations. A total of 40 libraries, spread over 16 entrepreneurship and innovation libraries, participated in this survey, including participants from Europe (35%), Asia (15%) and USA (50%).

The findings show that previous experience, social impact, brand image and system quality have a significant positive impact on entrepreneurship and innovation libraries' perceived usefulness (PU) of prototyping technology. Perceived ease of use of prototype technology is positively influenced by usability, training materials and documentation, experience and self-efficacy. Together, perceived usefulness and perceived ease of use have a significant influence on behavioural intention. Behavioural intention is positively impacted by minimal investment and shallow learning curve. Technology adoption is furthered by behavioural intention. The control variables, for instance location, gender and work experience (as librarian), were found not having any impact on Figma technology adoption.

Through strategic partnerships with other libraries (including health libraries), policymakers, and technology providers, the adoption of prototype technology can be further accelerated. The important ramifications for policymakers, technology providers, public and entrepreneurship and innovation libraries to create a self-reliant innovation ecosystem to foster rural health innovation based on entrepreneurship are also listed in the article.

This research is distinctive since it integrates several areas of study, including entre, advances in rural healthcare and libraries. A novel idea that hasn't been thoroughly investigated is the collaboration between entrepreneurship and innovation libraries and health libraries for supporting businesses. This study offers insights into the factors that drive technology adoption and offers practical advice for policymakers and technology providers. It also advances understanding of the adoption of Figma prototyping technology among libraries for rural health innovation. Overall, this study provides a novel viewpoint on the nexus between different disciplines, showing the opportunity for cooperation and innovation in favour of rural health.