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Startups have attracted increased attention over the past years. While entrepreneurs develop startups to capture new business opportunities, also large companies are turning to these fast-growing organizations in efforts to become more agile. However, managing business model innovation and validation is challenging. A number of methodologies, like the Lean Startup (LS), emerged to reduce uncertainties concerning innovation-based projects, and to contribute to business model validation. Despite its popularity, the literature on the LS and its key underpinnings (Agile Methodologies and Customer Development) is sparse, lacking an integrated and structured analysis of their impacts and potentialities. The paper aims to discuss this issue.

The authors conducted a comprehensive systematic literature review on the topic fully analyzing a final set of 71 papers.

There is a turning point in the research stream’s maturity with publications in conferences and major journals, with the predominance of empirical investigations in the European region. Articles on the topic are on the rise in several technology fields. However, the literature on the subject falls short on providing guidance to assist practitioners and scholars on the adoption and investigation of these methodologies.

The paper provides guidance for practice by presenting a staircase roadmap for the LS implementation drawing from the final set of papers reviewed.

The study categorizes the current literature through a concept map, and offers a structured research agenda beyond the categories from the thematic analysis.

‘Acceleration’, that is, the performance of activities in ever-shorter periods of time, is a distinctive feature of contemporary organizations and societies that is reflected in, and driven by startups’ attempts to scale up their businesses in ever-faster ways. Although prior research has highlighted that temporary organizing is a key way to accelerate the startup process, little is known about how actors do so. Based on a one-year ethnographic study at a startup accelerator, the authors explore how actors enact temporary organizing to attempt to accelerate the startup process. Their analysis shows that this process involves a plurality of partly conflicting temporal structures. As their study shows, such conflicts invoke tensions that actors live out in their daily activities. The authors identify three temporal practices – sequencing, freezing, and merging – through which actors engaged in temporary organizing enact acceleration in the startup process by reconciling these temporal structures. Their study has implications for understanding time in the expanding literature on temporary organizing and acceleration.

The purpose of this article is to develop an integrative framework of accelerator design to answer the question of what activities accelerators perform and how they function within a structured framework. Research on the functioning of accelerators as a mechanism for startup engagement produced multiple empirical results. However, the comparability of relevant research is strongly limited, currently hindering theoretical developments. Existing accelerator design models often differ and only partially overlap, which leaves extant literature with a fragmented and discordant conceptual understanding.

Based on a meta-synthesis method using qualitative analysis of 36 accelerator design articles, an integrative framework is developed. After identification of relevant literature, a renowned method for extracting, coding and synthesizing data on individual and cross-study level is applied to identify accelerator design constructs. Eventually, identified accelerator design constructs are integrated into a framework resting on the activity system lens of business model design.

The article reconciles fragmented knowledge on accelerator design and shows how accelerator design can be holistically conceptualized by 32 key activities clustered in eight design dimensions. The framework is complemented by an initial guideline for measurement. The findings further highlight formerly disregarded aspects of governance and community formation from a processual and structural perspective.

This article is the first to present a comprehensive picture of accelerator design integrating multiple empirical findings of prior research into a single coherent framework. This framework offers a shared foundation for future research exploring the delineations, functioning and impact of accelerators. From a practical perspective, the article provides managers of accelerators a guide to design, review and improve programs according to their value creation goals.

The purpose of this study is to analyze the systematic relationships among dynamic capabilities in startups’ survival.

This study is based on a systematic literature review on dynamic capabilities related to startups’ survival, following the content analysis approach.

This study presents four different perspectives of analysis about dynamic capabilities from resources exchange and business factors that meet needs of startups' survival. It also points out new area for future research in this field. In doing so, this study differentiates itself by its approach not limiting dynamic capabilities research and enriching entrepreneurs' capability theory.

By indicating an evolution of dynamic capabilities theory among tangible and intangible resources exchange in a more favorable adaptation to startups growth, this study boosters and contributes to the society, economy in general and to the science of business management in various perspectives such as overcoming cognitive barriers, entrepreneur’s commitment, innovation capabilities and knowledge capacity of startups.

This study amplifies dynamic capabilities vision in startups’ survival as one of the main sources for growth in this type of organizations. It also develops a deeper understanding about new avenues for dynamic capabilities theory among tangible and intangible resources exchange.

Corporations' emphasis on startup collaboration for corporate innovation has reached a new level in the context of digital transformation. The purpose of this paper is to examine three different models of corporate-startup collaboration and the models' effects on the case companies' capabilities for, and actual outcome in regards to their business transformations.

The theory and case studies on corporate-startup collaboration models are based on several years' empirical study on 30+ multi-national corporations in the Western world. Further, iterative literature reviews on digital and business transformation have been conducted, leading to the identification of two different, but complementing frameworks used to analyze each case's capabilities and outcome in regards to business transformation.

Collaboration with startups was found to positively affect the firms' business transformation. Further, the three-step analytical process is a valuable path to better understand, and improve, the cases' capability for, and outcome in regards to their business transformations.

The paper includes three case studies and a new process for analyzing their effects on capabilities for, and actual outcome in regards to business transformation. More research is needed, both on cases and on how to refine the analytical process.

The practical contributions from this paper are the in-depth description of the three operational cases, as well as insights on how each model's set up (approach) can affect both capabilities for, but also level of business transformation. As a result, a company might need a portfolio of different startup collaboration initiatives in order to manage a more holistic transformation of their business.

The paper's main theoretical and practical contributions are further knowledge on organizations and organizational practices for corporate-startup collaboration, as well as a three-step process for analyzing each case's effect on the respective firm's capabilities for, and actual outcome in regards to business transformation.

This chapter is focused in a methodological frame to study the practices of entrepreneurial agents and the startups in nontechnological sectors in the middle-income countries. The startup of ideas involves three phases that comprise the first life cycle of a possible company considering too sociocultural aspects as external factors implied in the creation, prototype, and entry to markets. In Latin America, the type of risks experienced by companies in their early stages of life and incubation are not known in a timely manner. The lack of information on entrepreneurship and its agents in countries such as Mexico also inhibits visualization of heterogeneity of contexts to business development, and how some regions are more propensity to boost startups than others, in different sectorial and branches of knowledge. Mexico like rest countries in Latin America has a high percentage of SMEs focused in sectors that are innovative but not are participating in the last technological waves. For this reason, it is necessary to know how these agents prepare, manage, and apply entrepreneurship in accordance with institutional, technological, and sociocultural dispositions to structure their experiences and make more vigorous the territorial entrepreneurial. Small and medium businesses are building new paths taking advantage of territorial and cultural opportunities. Applying the framework proposed in the last part of this chapter is presented a case of study of an entrepreneur oriented to craft brewer production in Tijuana, Mexico.

A successful business model creates a heuristic logic that connects technical potential with the realization of economic value. But this logic constrains the subsequent search for new, alternative models for other technologies later on. This logic gives rise to two behaviors that affect the implementation of Open Innovation inside organizations. The well-known Not-Invented-Here syndrome constrains the use of Outside-in Open Innovation, while a new syndrome we identify, the Fear of Looking Foolish, constrains the use of Inside-out Open Innovation. We focus particularly on the latter behavioral constraint in this chapter and present three mini-cases that demonstrate the constraints in action. We then sketch possible managerial solutions to overcome these behaviors.

This paper aims to provide a brief review of the work on startup survival and a conceptual framework of factors influencing a startup firm’s survival. In addition, it lists significant gaps and recommends avenues for future research.

This paper conducted a systematic literature review of peer-reviewed journal articles indexed in Scopus, Web of Science and EBSCO databases using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 140 articles published in 72 journals between 1993 and 2021 were considered for the review.

The comprehensive review revealed that most of the studies have applied a single theoretical lens and have taken place in advanced economies, with a narrow focus on emerging economies. Empirical research has prominently applied regression-based models to analyse the relationship between the antecedents and the outcomes. Internal resources such as human capital, financial capital and physical capital and non-financial performance measures such as survival, growth and employment are the studies’ prominently used antecedents and outcome variables. However, a limited number of studies have used mechanisms of mediation and moderation.

Despite the substantial scientific and practical discussion on startup survival, to the best of the authors’ knowledge, no comprehensive review has been undertaken to date, which provides a systematic and comprehensive compilation of the knowledge on the topic. This study aims to develop a unique landscape of scientific advancement by methodically reviewing, categorising and synthesising the current body of knowledge on the topic.

Capital restrictions normally exist in the creation of a startup, requiring investors to analyze funding alternatives in a highly competitive climate. Although different types of incentives to support startups exist, these incentives are only available to those companies that fulfill the requirements of the funding program to which they have applied. Due to social and economic changes introduced by the digital economy, however, existing mechanisms for assessing the potential growth of startups are scarce, outdated or simply incomplete, distorting the results of such evaluations.

Evaluating business opportunities and how to exploit them are critical activities for an entrepreneur. This study sought to address this issue through the combined use of cognitive mapping and the Decision EXpert (DEX) technique. Assuming a constructivist stance, the study brought together a panel of experienced entrepreneurs and business investors to identify and articulate the criteria to be considered in the evaluation and classification of startups.

The evaluation system created in this study was tested, and the results were validated by the expert panel on a collective basis, demonstrating that the dual methodology used can increase our understanding of the decision problem at hand and lead to more informed and potentially better evaluations of the potential growth of startups.

The authors know of no prior work reporting the integrated use of cognitive mapping and DEX in this study context.

Limited access to capital is a classic issue in and a burden to micro, small and medium enterprises (MSMEs) in Indonesia. The existence of the problem with information asymmetry and agency conflicts that are predominant at the level of small businesses, increasingly hampers the opportunity to obtain funds from various external sources. Especially for businesses that are at the pioneering stage, entrepreneurs are required to think creatively, have the courage to take risks, and be independent in fulfilling resources to realize business opportunities. The availability of funds certainly has an impact on business performance, either directly or indirectly. Based on a literature review, business performance is categorized into financial and non-financial dimensions with various measurement proxies. However, some of the models and measurements proposed are not always suitable in assessing the performance of MSMEs, especially in the startup phase. Therefore, this chapter concurrently describes the funding patterns and the funding alternatives to measure the performance of new businesses based on the existing literature. Theoretically, this research adds a perspective in the field of entrepreneurial finance regarding funding patterns that can be implemented by startup businesses in Indonesia and provides a proposal for measuring the concept of performance that is more adaptive and comprehensive for businesses in the startup stage. The implication of this research for entrepreneurs leads to the need to adjust funding decisions according to the changing stages of the business lifecycle and to expand the funding window to support the sustainability of small businesses.