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Given the nature of corona chaos, tech startups confront strategic disorientation; therefore, this study aims to constructively engage with the theory development process in the area of management decision, adopt causal complexity with a configurational approach of McKinsey's 5R paradigm and the Newtonian gravitational field.

This study provides a novel conceptualization of systematic research of explanatory mechanisms for navigating the turbulence and consequences of the COVID-19 crisis. This configurational study shows how European tech startups adopt strategies in addressing COVID-19 challenges successfully.

The analysis reveals configurations that lead to the outcome of the conceptual model, namely, reimagining the equifinal paths to the next normal. The findings suggest that, in navigating the crisis, tech startups are able to seize market opportunities, capture technological opportunities and consolidate their future positions.

The principal limitation consists of limited empirical evidence regarding tech startups’ ability to navigate Covid-19 crisis and choose the appropriate path to the next normal.

This study enhances European tech startups’ capability to adopt reflexivity and openness while navigating the Covid-19 chaotic context. Furthermore, the study provides a managerial toolkit to guide strategic decisions via deepening their understanding of the new created realities.

This study provides a novel conceptualization of systematic research on explanatory mechanisms for navigating the turbulence and consequences of the COVID-19 crisis context. This configurational study shows how European tech startups adopt strategies that address COVID-19 challenges successfully.

The purpose of this paper is to ascertain the factors determining the choice of sources of finance for a tech startup over its lifecycle.

This study adopts simple random sampling technique to choose 93 sample tech startups in Bangalore. Further, this study employs the primary data collection from the sampled startups under study through a semi-structured questionnaire and in-depth interviews with the founders/CEOs of these startups. Furthermore, it carries out binary logistic regression analysis to primarily examine the likelihood of a tech startup to approach and access a particular source of finance over its lifecycle.

Our results indicate that a tech startup's choice for a financial source varies with its lifecycle stage and financial requirements. We find that while in its early stage, a tech startup's choice of a financial source is limited to business angels (BA), in the growth stage, it approaches the institutional sources, viz. Venture Capital (VC), Corporate Venture Capital (CVC), Banks and Private Equity (PE) firms alternatively. Out of the three major categories of financial requirements: Human Capital (HC), Research Capital (RC) and Social Capital (SC), the requirement for HC and SC is predominantly funded by VCs, while the acquisition of RC is facilitated by early stage investors (BAs) as well as growth stage investors (CVC and PEs).

The research implication of the study lies in bringing out the need to understand both the nature and the quantum of financial requirements of tech startups would influence the sources of finance it would approach and obtain finance for its operations and growth.

The major policy implication of the study refers to the need to promote the diverse sources of finance to meet the diverse needs of finance in different stages of a tech startup's lifecycle. Particularly in an emerging economy, where we do not see the emergence and growth of highly innovative tech startups, the need to promote adequate availability of RC is especially important.

This study makes a key contribution to the entrepreneurial finance literature by empirically investigating the factors determining a tech startup's propensity to approach and access a particular source of finance over its lifecycle.

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 study is to empirically investigate the role of entrepreneurial orientation (EOR), entrepreneurial bricolage (EBR), technology orientation (TOR), sustainability orientation (SOR) and Trust (TUR) in the sustainable enterprise performance (SEP) of tech startups in India. It uses a framework grounded in the EBR theory, upper echelon theory and resource-based view theory.

A primary survey was conducted using a structured questionnaire amongst 285 sample respondents from 425 tech startups and the data were analyzed using the partial least squares-structural equation modeling technique.

The findings suggest that EOR and TOR significantly influence SEP. SOR and TUR do not significantly affect the SEP. EBR plays a significant mediating role between TOR and EOR and SEP in the context of Indian technology-based startups.

This cross-sectional study has a geographic limitation as it was conducted in Mumbai, Bangalore and Pune and their suburbs. As this study was carried out in the context of tech startups in a developing country such as India, caution needs to be exercised while generalizing the findings of this study to other regions, countries and cultural contexts.

This study highlights the significance of TOR and EOR in the long-term SEP to the budding entrepreneurs who have strong EOR and deploy EBR strategy to start their new business ventures. It also infers that few of the reasons for the failure of tech startups are because of the lack of attention to TUR and SOR.

This study has a novel contribution as it empirically validates the role of multiple constructs such as EOR, TOR, TUR, SOR and EBR toward SEP in a resource-constrained startup environment in the context of a developing country such as India.

Innovation in technology is nothing new. However, a strong surge of inventions centered on digital apps and platforms has emerged over the past decade and has come to be associated with the tech sectors. The purpose of this research is to know whether deep-tech can be unlocked in startups for their long-term success.

Papers and websites that included the term deep-tech startups were considered for this study.

The authors have seen no explanation why India cannot develop several global deep-tech firms in the coming five years, similar to what China did in the previous 10 years, if Indian deep-tech entrepreneurs receive solid support from domestic industry giants, supportive regulatory changes and prompt access to finance. The authors think that the epidemic has made conditions for this to pick up speed that is highly favorable.

This research is limited to a few numbers of papers and websites.

Due to the unanticipated disruption, the pandemic caused, clever robotics and hands-free technology were urgently needed. The development of smart, self-monitoring, simple, tailored and potential on-the-go improvement solutions are the talk of the day. Deep-tech solutions have the ability to provide limitless benefits in a variety of fields to the world's 1.3 billion inhabitants.

This research will help startups to know more about deep-tech and implement them to be the first-mover advantage in this competitive and turbulent environment.

The novelty of this research is based on its presentation of an organized and thorough evaluation, which defines the current state of the art with regard to deep-tech startups. Not many studies have been performed in the area of deep-tech startups. In order to create a sustainable startup, a thorough study on how deep-tech can be unlocked in startups and its opportunities, challenges and funding is presented.

The study aims to understand how big data analytics capabilities of tech startups help them gain competitive advantage and improve their firm performance. The study is performed for two countries: India and China. A comparative analysis is also discussed in the study.

The study collected responses from tech startups from both India and China. A total of 502 responses were collected with 269 from India and 233 from China. The results were analyzed using Warp PLS 6.0 after testing for common method bias, endogeneity and reliability of data. The study tested five primary hypotheses and also tested the effect of two control variables: country of origin of startup and age of the startup.

We found that big data analytics capabilities have a positive and significant impact on the firm performance and competitive advantage of tech startups. While organizational culture proved to have a positive impact as a moderator, innovation was found to have non-significant effect. The results also found to have non-significant effect of age of the firm while its country of origin does play an important role in defining its success.

The study offer key insights for the tech startups operating in two countries which are geographically neighbors but differ in the tech expertise from each other. Moreover, the study offers key insights on how does the origin of the country contributes significantly to explaining the success and competitiveness of the firm.

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 paper is to analyze the contribution of professional social networking websites (PSNWs) to entrepreneurial learning in high-tech startups. In addition, in the present paper, the relationships between intellectual capital (IC) and PSNW-supported entrepreneurial learning have been investigated.

The paper is based on data collected through a questionnaire distributed to entrepreneurs and managers of high-tech startups. In order to understand the behavior of startuppers in PSNWs two theoretical constructs have been devised, which could put into evidence knowledge sharing and knowledge seeking occurrences. In these constructs, entrepreneurial learning represents the dependent variable, while IC components are considered as moderators. The obtained results have been analyzed through hierarchical regression.

Results have indicated that PSNWs support the learning processes of startuppers and that the social capital, one of the components of IC acts as an important mediator in the hypothesized relationships between knowledge seeking activities and entrepreneurial learning.

This study has taken a sample of middle-sized entrepreneurships into consideration. Future research could be focused on larger entrepreneurships, in order to validate the obtained results. In addition, it could be interesting to examine further factors affecting the improvement of entrepreneurial learning practices in startuppers and larger organizations.

PSNWs are often used by entrepreneurs to create relations and to exchange knowledge. This fact notwithstanding, there is a dearth of studies that analyze how entrepreneurial learning can be facilitated by online social networking. The paper provides a clearer view of these issues and represents a first step in filling this research gap.

This study explores the contribution that tech startups can provide in the fight against COVID-19. The Tech4Covid movement is presented to that effect, which has joined several Portuguese tech startups. This initiative gathers more than 5,000 volunteers and 28 ongoing projects in several interdisciplinary areas, including science, technology, health and education.

Two qualitative methods are adopted: the case study and the field research technique. This joint approach allows exploring in-depth the relevance and impact of the different areas included in Tech4Covid movement. Data were collected both from primary sources, namely by the authors' participation in the movement and by the use of secondary sources from each project.

The findings reveal three main areas in which the 28 ongoing projects can be categorized, respectively: support to health professionals and hospital equipment, health and education services and business and leisure. These projects offer direct and indirect contributions to the fight against COVID-19. From a perspective, they were initially designed to support health professionals in gathering protective equipment and supporting screening for suspicious cases. From another perspective, they also offer indirect benefits to citizens and the local economy.

This paper addresses a recent phenomenon with a dramatic impact on public health, social and economic dimensions. The study provides essentially practical contributions by revealing how Portuguese technological startups were organized and worked together to respond to the COVID-19 pandemic. It is expected this study will serve as a reference for other countries and communities that intend to replicate this model.