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The study aims to investigate whether and how digital transformation, in terms of digital collaboration, joint efforts with internal/external partners to achieve common goals and the adoption of digital tools supporting this practice, affect social innovation capital in the context of small innovative enterprises (SIEs).

The research hypotheses derived from the analysis of the literature, evaluating how sharing resources, sharing intensity and digital patterns affect the collective capacity of SIEs to innovate, were investigated by applying multiple regression analysis. Data were retrieved from a sample of Italian SIEs through an online survey.

The main findings suggest that the propensity to spread resources and the sharing intensity positively affect the collective capacity of SIEs to innovate. Also, the effect of resources sharing on collective innovation increases as more digital patterns are used as tools. The connection is weaker for the intensity of resources sharing.

The study is conducted on Italian SIEs, a particular cluster of small and medium enterprises (SMEs). It would be interesting to compare and contrast the results of an analysis of a large sample of international companies, of different sizes and belonging to digital and non-digital sectors.

The results enrich the existing literature on social innovation capital, by clarifying its competitive benefits on the characteristic context of the SIEs and underlining the mediating role of the digital patterns.

We offer a theoretical account of how two types of bricolage influence the entrepreneurial process. The first type involves social relationships or physical or functional assets, and thus pertains to an entrepreneurʼs external resources used in the instantiation of operations of a new venture. The second type pertains to an entrepreneurʼs internal resources‐experiences, credentials, knowledge, and certifications‐which the entrepreneur appropriates, assembles, modifies and deploys in the presentation of a narrative about the entrepreneurial process. We argue that both types of bricolage are essential to the success of a venturing attempt.

This paper aims to explore the relationship between top management team bricolage and performance and also examines unit ambidexterity's mediating role. More essentially, to understand the black box of organizational knowledge dynamism, a multilevel moderated mediating model is established by exploring the effects of two firm-level moderators, namely, potential absorptive capacity and realized absorptive capacity.

To test the cross-level moderated mediation model, this study used multisource data from 90 R&D units in 45 Taiwanese manufacturing firms through two-wave surveys and retrieving the archival data for assessing unit performance.

This study’s evidence revealed that unit-level ambidexterity mediates the effect between firm-level top management teams’ (TMT) bricolage and unit-level performance. This study also found that firm-level potential absorptive capacity positively moderates the effect between firm-level TMT bricolage and unit-level ambidexterity. Moreover, firm-level realized absorptive capacity strengthens the indirect relationships between firm-level TMT bricolage and unit-level performance via unit-level ambidexterity. The findings shed light on how and why TMT bricolage influences unit ambidexterity and performance in knowledge-intensive sectors.

This paper adds to the existing knowledge-based theory literature by disentangling the association between top management team bricolage and unit performance and identifying the pivotal role of absorptive capacity at both the firm and unit levels.

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

The purpose of this paper is to survey how research data are governed at repositories in Japan by deductively establishing a governance typology based on the concept of openness in the context of knowledge commons and empirically assessing the conformity of repositories to each type.

The fuzzy-set ideal type analysis (FSITA) was adopted. For data collection, a manual assessment was conducted with all Japanese research data repositories registered on re3data.org.

The typology constructed in this paper consists of three dimensions: openness to resources (here equal to research data), openness to a community and openness to infrastructure provision. This paper found that there is no case where all dimensions are open, and there are several cases where the resources are closed despite research data repositories being positioned as a basis for open science in Japanese science and technology policy.

This is likely the first construction of the typology and application of FSITA to the study of research data governance based on knowledge commons. The findings of this paper provide practitioners insight into how to govern research data at repositories. The typology serves as a first step for future research on knowledge commons, for example, as a criterion of case selection in conducting in-depth case studies.

Strategic flexibility (SF) has become increasingly important for firms because of the fast changes in the external environment. In line with the practical importance of SF, an emerging research field has developed around it that has attempted to understand the nature of SF and the key relationships. The aim of this study is to unveil the semantic structure of the recent literature on SF and to suggest new promising areas for future research.

The authors conduct a systematic literature review with a bibliographic analysis technique, which allows authors to identify the main recent streams in the literature, as well as offer reflections and suggestions for future research.

The authors uncover three main emerging areas in the research on SF, namely SF as a dynamic capability, the role of knowledge management for SF and the relationship between a firm SF and the external environment. The authors put forward three avenues for future research on SF: Avenue 1. SF, business model innovation (BMI) and other dynamic capabilities (DC), Avenue 2. Digital technologies and SF/organizational agility and Avenue 3. SF and sustainability. Articles included in the special issue entitled “A strategic perspective on flexibility, agility and adaptability in the digital era” contribute to Avenue 2, thus paving the way for filling some of the identified gaps regarding the relationship between SF and digitalization.

To the best of authors’ knowledge, this is the first literature review on SF that uses a bibliometric approach to draw conclusions on the findings in the literature. The review contributes to the theoretical understanding of SF by illustrating and explicating core topics that have persisted over time, as well as by presenting three main avenues for further developing authors’ knowledge around SF.

This paper aims to examine the impact of adverse personality traits (alexithymia, social inhibition, negative affectivity) and supervisor knowledge hiding on individual knowledge hiding. This study also explores the moderating role of positive affectivity.

Partial least squares path modeling and data collected from 518 Polish employees with higher education and extensive professional experience recruited via an Ariadna survey panel were used to test the research hypotheses.

Two dimensions of alexithymia were considered: difficulty identifying feelings (DIF) and difficulty describing feelings (DDF). DIF has a direct impact on individual hiding, whereas DDF has an indirect impact, via social inhibition. Negative affectivity is a predictor of social inhibition, which enhances knowledge hiding. Positive affectivity slightly weakens the positive and strong effect of supervisor knowledge hiding on subordinate knowledge hiding.

Because alexithymia, social inhibition and negative affectivity may predispose employees to knowledge hiding, managers should identify these personality traits among job applicants and hired employees to make appropriate employment decisions. Moreover, managers should be aware that hiding knowledge by a supervisor may be imitated by subordinates.

Based on conservation of resources theory, this study investigates previously unexplored relationships among alexithymia, social inhibition, affectivity and knowledge hiding.

Establishing a competitive advantage in today's dynamic environment involves optimizing an organization's exploration and exploitation strategy. This paper aims to explore how an open innovation strategy complements the organization's ambidextrous strategy in attaining a competitive advantage. Organizational ambidexterity and dynamic capability theories are also explored to investigate the impact of open innovation on the organization's ambidextrous strategy and competitive advantage – especially inbound and outbound open innovation.

The authors conducted a systematic literature review using Boolean search techniques, which was focused on the research fields of the sub-areas of general management, strategy, innovation, organization studies, information management, entrepreneurship, international business, marketing, and economics, supplemented by the snowball technique.

Organizations that combine their ambidextrous strategy with open innovation attributes achieve a competitive advantage through developing their dynamic capabilities by which organizations change their value proposition. This study also shows that an ambidextrous strategy should no longer be viewed as a structural solution implemented by management, but also as a bottom-up intervention. Additionally, the authors found that the organization's dynamic capabilities establish a feedback loop, which changes the organization's ambidextrous strategy to resolve the efficiency–agility paradox.

Previous research has focused on strategic orientation; however, hardly any research has investigated how the interrelatedness of open innovation, organizational ambidexterity and dynamic capabilities support a competitive advantage. The authors present a conceptual model that inspires new research avenues.

Suppliers are essential partners in innovation projects, as they own resources, knowledge assets and capabilities that complement those of buying firms. In today’s competitive environment, firms may choose to collaborate with suppliers beyond dyads, forming triadic or three-party relationships. Using the theoretical lens of the relational view (RV), this study aims to explore what type of triad configurations firms use to govern supplier relationships in collaborative innovation projects, how they choose to share resources and implications for project performance.

The authors use interview data from buyers and suppliers in six case studies of firms involved in ten collaborative innovation projects. The four constructs of the RV are used to observe how firms govern triadic relationships, combine complementary resources, invest in relationship-specific assets and manage information and knowledge exchange with and between suppliers in innovation projects.

Four archetypes of triadic relationships in innovation projects – labeled Triangle, A-frame, D-Frame and Line – are presented and characterized in terms of their structural and relational features. The authors discuss how each triad archetype is applicable to different innovation projects according to specific project characteristics.

This study is pioneering in its empirical examination of triadic relationships in collaborative innovation projects. It provides a novel typology of four archetypes of triad from the perspective of collaborative relationships with suppliers. Through applying the RV, it advances understanding of how triadic relationships are governed, how they invest in relationship-specific assets, how they combine complementary resources and how they exchange knowledge and information in each type of triad appropriate to different innovation project settings. To date, much of the extant literature has focused on dyads.