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Accessing and sharing dispersed knowledge in ecosystems is neither easy nor automatic. In ecosystems, focal firms should purposely create the right conditions and act to deal with dispersed knowledge. This study aims to investigate how focal firms manage dispersed knowledge in ecosystems characterized by a set of autonomous, heterogeneous, yet interdependent actors involved in experimentation under uncertainty.

Following a conceptual framework based on preceding literature, this study conducted a broad qualitative case study of 6 firms and 12 projects, with 43 semi-structured interviews to identify the patterns of actions associated with dispersed knowledge management (KM) in ecosystems. This paper combines coding and multiple case comparisons to examine the processes and strategies used by the firms to strategically manage dispersed knowledge in ecosystems.

This paper proposes a framework that articulates a new type of orchestration (dispersed knowledge orchestration) and offers a new set of dispersed knowledge strategies (transfer, modularity and circular) for ecosystems.

Innovation and knowledge managers play the roles of dispersed knowledge orchestrators. The study offers guidance on how focal firms should carefully use a particular set of approaches (e.g. integrative theorization) including a portfolio of dispersed knowledge strategies in ecosystems.

Current literature on KM and ecosystem management offers a limited understanding of how organizations manage dispersed knowledge in ecosystems. The research provides three major original contributions. First, the framework contributes to broadening the current understanding of ecosystem orchestration by identifying the micro-foundations of dispersed knowledge orchestration: integrative theorization, nurturing distributed sensemaking and a new chapter for ecosystem governance (i.e. dispersed knowledge governance). Moreover, the framework proposes a new type of strategy, the dispersed knowledge strategy. Finally, by exploring the interplay between the micro-foundations of dispersed knowledge orchestration and dispersed knowledge strategy, the results contribute to a multi-level approach in the field.

Entrepreneurs' pivot decisions are poorly understood. The purpose of this paper is to review the existing literature on pivot decisions to identify the different conceptualizations, research streams and main theoretical building blocks and to offer a baseline framework for future studies on this phenomenon.

A systematic literature review of 86 peer-reviewed papers published between January 2008 and October 2020, focusing on the pivot decision in startups, was performed through bibliometric, descriptive and content analyses.

The literature review identifies four research streams concerning the pivot concept – pivot design, cognitive, negotiation and environmental perspectives. Building on previous studies, this paper provides a refined definition of a pivot that bridges elements from the four research streams identified: a pivot comprises strategic decisions made after a failure (or in the face of potential failure) of the current business model and leads to changes in the firm's course of action, resource reconfiguration and possible modifications of one or more business model elements. This study proposes a framework that elaborates the pivot literature by identifying four stages of the pivot process addressed in the existing literature: recognition, generating options, seizing and testing and reconfiguration.

This study provides a comprehensive review, enabling researchers to establish a baseline for developing future pivot research. Furthermore, it improves the conceptualization of pivots by summarizing prior definitions and proposing a refined definition that places decision-making and judgment at its center. That introduces new contextual and behavioral elements, contributing to a better understanding of how entrepreneurs assess alternative courses of action and envision possible outcomes to redirect a venture after failure.

The purpose of this paper is to identify how project portfolio selection (PPS) methods have evolved and which approaches are more suitable for radical innovation projects. This paper addressed the following research question: how have the selection approaches evolved to better fit within radical innovation conditions? The current literature offers a number of selection approaches with different and, in some cases, conflicting nature. Therefore, there is a lack of understanding regarding when and how to use these approaches in order to select a specific type of innovation projects (from incremental to more radical ones).

Given the nature of the research question, the authors perform a systematic literature review method and analyze 48 portfolio selection approaches. The authors then classified and characterized these articles in order to identify techniques, tools, required data and types of examined projects, among other aspects.

The authors identify four key features related to the selection of radical innovation projects: dynamism, interdependency management, uncertainty treatment and required input data. Based on the content analysis, the authors identified that approaches based on different sources and nature of data are more appropriated for uncertain conditions, such as behavioral methods, information gap theory, real options and integrated approaches.

The research provides a comprehensive framework about PPS methods and how they have been evolving over time. This portfolio selection framework considers the particular aspects of incremental and radical innovation projects. The authors hope that the framework contributes to reinvigorating the literature on selection approaches for innovation projects.

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.