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AbstractIn the current complex and uncertain scenarios, organizations are increasingly subjected to hazardous events and threats, which can be critical for their business operations and performance. In these settings, organizations are likely to experience high‐cost impact if they are unprepared when a crisis strikes. This is more challenging for small and medium enterprises (SMEs) that, due to their limited organizational and financial resources, are called to be resilient providing an effective response to such threats to safeguard the interests of key stakeholders and protect their reputation and brand. Business continuity management (BCM) is commonly known as one of the most effective processes used by organizations to cope with emergencies to continue or resume business operations, thus contributing to strengthen the organizational resilience (OR). Based on a critical literature review, this study provides an overview of BCM by highlighting the main implementation requirements, challenges, and contribution to enhance the OR. It also proposes a conceptual framework that shows how BCM is functional to and strongly connected with OR, especially for SMEs. Finally, implications for scholars, practitioners, and policy‐makers are provided to recall the main research evidence and inspire future investigations.

PurposeThe purpose of this paper is to contribute to the literature on intellectual capital (IC) in light of the emerging paradigm of Big Data. Through a literature review, this paper provides momentum for researchers and scholars to explore the emerging trends and implications of the Big Data movement in the field of IC.Design/methodology/approachA literature review highlights novel and emerging issues in IC and Big Data research, focussing on: IC for organisational value, the staged evolution of IC research, and Big Data research from the technological to the managerial paradigm. It is expected that identifying these contributions will help establish future research directions.FindingsA conceptual multi-level framework demonstrates how Big Data validates the need to shift the focus of IC research from organisations to ecosystems. The framework is organised into four sections: "why" – the managerial reasons for incorporating Big Data into IC; "what" – the Big Data typologies that enhance IC practice; "who" – the stakeholders involved in and impacted by Big Data IC value creation; and "how" – the Big Data processes suitable for IC management.Research limitations/implicationsThe paper provides many avenues for future research in this emerging area of investigation. The key research questions posed aim to advance the contribution of Big Data to research on IC approaches.Practical implicationsThe paper outlines the socio-economic value of Big Data generated by and about organisational ecosystems. It identifies opportunities for existing companies to renew their value propositions through Big Data, and discusses new tools for managing Big Data to support disclosing IC value drivers and creating new intangible assets.Originality/valueThis paper investigates the effects and implications Big Data offers for IC management, in support of the fourth stage of IC research. Additionally, it provides an original interpretation of IC research through the lens of Big Data.

Purpose
The purpose of this paper is to shed light on how family firms execute open innovation strategies by managing internal and external knowledge flows (KF) to provide a deeper understanding of family firms' ability to innovate through traditions and create value across generations.


Design/methodology/approach
Empirical evidence was collected using an online survey of a sample of 208 Apulian entrepreneurs, who were members of the association of young entrepreneurs of Confindustria in the Apulia region (southern Italy).


Findings
The study derives a model that explains the most relevant factors behind the innovation processes developed by young entrepreneurs in family firms: network membership benefits; KF; track record of innovation; and the entrepreneurial attitude of employees.


Research limitations/implications
By integrating insights from different research streams, namely, innovation management, open innovation and family firms, the study provides a novel contribution to the open innovation process in family firms.


Practical implications
The study offers interpretative lenses for entrepreneurs and managers to understand the most suitable knowledge transfer process for encouraging open innovation in family firms, taking into consideration young entrepreneurs' traditions and interpersonal skills, the KF in local ecosystems and network benefits as the main variables supporting the innovation process.


Originality/value
This study creates a link between open innovation and family firm research by providing an empirically grounded model illustrating how the innovation process is realized in family firms.