Management Science, Ahead of Print.
Extant studies in entrepreneurship have explored factors that influence the birth and growth of start-up firms; however, there appears to be a dearth of studies examining the influence of founders' ambidextrous orientation on start-ups' success, especially their speed of attaining the coveted status of a “unicorn start-up” – which is considered a mega success in practice. This study examines whether and how founding teams’ collective ambidextrous orientation influences their respective start-ups’ pace of becoming a “unicorn”.
This study empirically analyses 220 interviews by the founders of 83 Indian unicorns in examining the influence of the founding teams’ collective exploration-exploitation capability on their firms' speed to achieve the “unicorn” status. The Cox Hazard model was used to test the hypothesized relationships, and linear ordinary least squares (OLS) regression was used to test the robustness of the results.
The authors find a strong positive relationship between founding teams’ ambidextrous skills and the speed of becoming a unicorn. The study results suggest that the founding teams’ collective exploratory skills may be more influential in their start-up’s speed to unicorn status vis-à-vis their exploitative skills.
This study finds that the founding teams’ ambidextrous orientation and exploratory skills accelerate their start-up’s speed to becoming a unicorn, contributing to the academic discourse on the “unicorn” phenomenon, which is widely acknowledged as a grand success status for start-ups—especially technology and venture capital funded start-ups—among the practitioners. This study contributes to the academic discourse on firm capabilities and founding-team-related antecedents of start-up success by raising a new dimension of the founding team’s ambidextrous orientation.
This study aims to understand how female globally mobile employees (GMEs), a group that is gaining a stronger presence in global work, exert their career agency within the context of structural constraints.
Using theoretical perspectives of career-agency theory and person-environment fit as frames of reference, this study collected 113 blog posts written by 19 female GMEs and conducted semi-structured interviews with 11 female GMEs who are currently living and working in Japan.
This study found that the informants exercised career agency as a response to challenges related to foreignness and gender. Through career-related agentic behaviors, the informants strove to increase their fit with their environments while interacting with different aspects of structural constraints. This study also found that people in different stages of global mobility exhibited different mindsets toward their foreignness, consequently influencing their career agency.
This study highlights the dynamic interaction between structural constraints and the agency of female GMEs, advancing the understanding of career agency in women’s global work. In addition, it recognizes the presence of expatriate residents as a distinct subgroup within the GME population, shedding light on the evolving ambiguous boundaries between self-initiated expatriates and other talent categories.
This paper analyses the complexities involved in planning and managing infrastructural megaprojects under changing regulatory environments. Through the case of the megaprojects by Autostrade, a motorway construction company, the paper illustrates that the notion of success is problematic and not easily defined when changes in regulations by regulatory bodies become sources of overflows, inducing changes in plans that had been previously agreed upon.
Since regulations are dynamic, there may be a limit to which the initial planning parameters are legitimate benchmarks for the actualized megaproject's cost, time, and quality. It follows that a megaproject's success can result in orchestrating actions and reactions that involve both the capability of envisioning boundaries and demolishing them. This has severe implications for the notion of success itself, which does not easily fall into the traditional perspective of goal fulfillment but rather is linked to the inability to perceive the project's incompleteness.
Despite the importance of motivation in driving the formation of collaborative risk management, the existing literature lacks recognition of stakeholders’ motivations to participate in the collaborative risk management of mega infrastructure projects. By combining interview data with the theoretical framework based on previous literature, this study constructs a motivation framework for stakeholders to participate in collaborative risk management of mega infrastructure projects, comprising four groups of motivations formed by glue identity logic (organizational or individual level) and interest logic (intrinsic drive or extrinsic stimulus). Motivational differences between project owners and contractors are discussed based on the case study of the Hong Kong-Zhuhai-Macao Bridge, indicating that these differences are closely related to the identity of stakeholders and project progress. This study contributes a systematic perspective to recognize the motivations behind participation in collaborative risk management of mega infrastructure projects, aligns managerial intentions with actual motivations, and uncovers new insights into collaborative risk management. It enriches the collaborative risk management theory in mega infrastructure projects and provides guidance and inspiration for practitioners in decision-making and collaborative risk management in such projects.
Recently, Gen AI has garnered significant attention across various sectors of society, particularly capturing the interest of small business due to its capacity to allow them to reassess their business models with minimal investment. To understand how small and medium-sized firms have utilised Gen AI-based tools to cope with the market's high level of turbulence caused by the COVID-19 pandemic, geopolitical crises, and economic slowdown, researchers have conducted an empirical study. Although Gen AI is receiving more attention, there remains a dearth of empirical studies that investigate how it influences the entrepreneurial orientation of firms and their ability to cultivate entrepreneurial resilience amidst market turbulence. Most of the literature offers anecdotal evidence. To address this research gap, the authors have grounded their theoretical model and research hypotheses in the contingent view of dynamic capability. They tested the research hypotheses using cross-sectional data from a pre-tested survey instrument, which yielded 87 useable responses from small and medium enterprises in France. The authors used variance-based structural equation modelling with the commercial WarpPLS 7.0 software to test the theoretical model. The study's findings suggest that Gen AI and EO have a significant influence on building entrepreneurial resilience as higher-order and lower-order dynamic capabilities. However, market turbulence has a negative moderating effect on the path that joins entrepreneurial orientation and entrepreneurial resilience. The results suggest that the assumption that high market turbulence will have positive effects on dynamic capabilities and competitive advantage is not always true, and the linear assumption does not hold, which is consistent with some scholars' assumptions. The study's results offer significant contributions to the contingent view of dynamic capabilities and open new research avenues that require further investigation into the non-linear relationship of market turbulence.
Smooth interaction with a disaster-affected community can create and strengthen its social capital, leading to greater effectiveness in the provision of successful post-disaster recovery aid. To understand the relationship between the types of interaction, the strength of social capital generated, and the provision of successful post-disaster recovery aid, intricate ethnographic qualitative research is required, but it is likely to remain illustrative because it is based, at least to some degree, on the researcher's intuition. This paper thus offers an innovative research method employing a quantitative artificial intelligence (AI)-based language model, which allows researchers to re-examine data, thereby validating the findings of the qualitative research, and to glean additional insights that might otherwise have been missed. This paper argues that well-connected personnel and religiously-based communal activities help to enhance social capital by bonding within a community and linking to outside agencies and that mixed methods, based on the AI-based language model, effectively strengthen text-based qualitative research.
Food festival websites often showcase the commitment of events towards a socially relevant issue. However, it is challenging to communicate how events contribute to the well-being of communities. This paper analyses European food festival websites to explore to what extent events' social benefits are represented in their online communication. The research is based on a multimodal discourse concerned with the interaction between visual, textual, and design elements. Findings show that intergenerational connections, awareness of physical and mental health, and the preservation of local food heritage are the most salient discourses related to social sustainability when these are represented on the websites. In most cases, sustainability initiatives to assure access and inclusion of diverse community members stay hidden. Food festival organizers are advised to use inclusive online communication to foster a sense of community, inclusivity, and social equity.
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