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Despite the increasing studies concerning external knowledge for innovative firms or for innovations, little research demonstrates as what are those capabilities that enable firms to explore and assess high-valuable knowledge. The aim of this study is to examine those capabilities that aid innovative firms to search and identify the potential knowledge for open innovation. This study is an empirical and theoretical examination of knowledge search and identification capabilities of the UK-based biotechnology firms. The literature has been drawn from the research streams into knowledge management, open innovation and dynamic capabilities.

Forty-five semi-structured interviews with senior-level innovation and R&D managers were completed, and thematic analysis using NVivo 12 was performed.

Evidence from 45 interviews with senior-level innovation and R&D managers in the UK-based biotechnology firms and thematic analysis was used to develop a process framework capturing the key capabilities. By identifying the role and contribution of each of the capabilities in knowledge identification in the practices of open innovation, this study contributes to open innovation and knowledge management literature.

Managerial implications suggest knowledge-oriented leads greatly influence the development of identification capabilities. Hence, firms with knowledge-oriented leads are better crafted approaches to achieve competitive advantages in the practices of open innovation.

This study offers a new theoretical perspective and empirical evidence to view knowledge identification capabilities as the dynamic capabilities. This study offers a process framework of identification capabilities.

Skillful management of employees after a merger or acquisition (M&A) is one of the key aspects to ensuring a successful deal, and most notably to ensure talent retention. This paper aims to describe how Bristol Myer Squibb (BMS) efficiently integrated Celgene after it bought the company for a near-record $74bn in 2019. The authors explain the structural elements applied during the premerger phase (acquisition experience, partner location and portfolio alignment) and the subsequent postmerger decisions to ensure rapid integration (choice of the leadership team, cultural integration and the communication strategy).

This paper adopts a single-case approach of the second largest acquisition in the pharmaceutical industry. It analyzes the management and talent retention decisions taken to ensure rapid integration of Celgene while ensuring that employees felt engaged in the process. This was achieved despite the consideration challenges posed by the COVID-19 global lockdown.

M&As are well known for the HR challenges they generate such as change management, cultural clashes and increased employee turnover. This paper demonstrates how BMS was able to overcome these hurdles, combining a fast speed of integration with managerial dexterity.

This paper offers a concise and clear outline of the management strategies used by BMS to ensure a successful integration strategy. This approach included a strong respect for the human as well as financial and strategic aspects of the deal. For even greater clarity, this paper offers a diagrammatic representation of the strategy of BMS to improve the speed of integration.

With the widespread penetration of digital technologies, disruptive innovation is not developed by a single firm but is increasingly achieved by an ecosystem. However, limited research has examined the mechanisms involved in achieving disruptive innovation in the context of digitalization and ecosystems. To address this gap, we explore the impact of three dimensions of specialized complementary assets (SCAs) within the innovation ecosystem, human capital SCA (HCSCA), production SCA (PSCA) and marketing SCA (MSCA), on disruptive innovation in core firms through the mediation of digital capability, comprising digital operation capability (DOC) and digital resource collaborative capability (DRCC). Furthermore, innovation ecosystem embeddedness is examined as a moderator between digital capability and disruptive innovation.

Survey data were collected from 234 core firms in China’s high-tech industry. Hierarchical regression, AMOS, and PROCESS tools were used to examine the data.

The results reveal the following: (1) HCSCA and PSCA positively affect disruptive innovation, while MSCA is negatively correlated with disruptive innovation. (2) Digital capability mediates the relationship between HCSCA and disruptive innovation, as well as PSCA and disruptive innovation. However, it suppresses the negative impact of MSCA on disruptive innovation. (3) Innovation ecosystem embeddedness strengthens the influence of DOC on disruptive innovation, but weakens the influence of DRCC on disruptive innovation.

The findings advance the knowledge of disruptive innovation, SCAs within the innovation ecosystem, digital capability and innovation ecosystem embeddedness. They also provide practical insights into the effective implementation of disruptive innovation.

Based on the resource orchestration perspective, this paper aims to examine whether family firms are more efficient in their collaboration for innovation process than non-family firms, considering different types of collaboration for innovation depending on the kind of partner.

This study empirically develops and tests the hypotheses based on a panel data sample of 14,937 firm-year observations from 1,867 Spanish manufacturing firms over the period 2007–2014, performing a Propensity Score Matching (Propensity score matching)-based analysis.

Results reveal that family firms outperform non-family firms, despite less collaboration and innovation inputs, thereby extending the ongoing debate surrounding the innovation efficiency of family firms. Family firms obtained better results through vertical collaborations for innovation, both in terms of product and process innovations. For horizontal collaborations, family firms only outperform their non-family counterparts in process innovation. When collaborating with universities and other research centers, there are no significant differences in the innovation outcomes between the two groups.

Recent literature points out that more research is needed to know when, how and under what circumstances family firms show superior innovative efficiency. This work empirically proves that family firms outperform non-family firms in collaboration for innovation. However, not all collaboration partners help family firms to reach this superior innovative efficiency. Family firms obtained better results just through vertical and horizontal collaborations.

In today’s interconnected world, social capital has emerged as a crucial business competence, drawing significant attention in recent literature. Using social network analysis, this study aims to investigate the impact of network centrality, established by a firm through its board members (i.e. boardroom networks), on corporate cash holdings.

This study uses extensive panel data comprising 36,963 firm-year observations of firms listed on the Australian Securities Exchange, spanning a 22-year period (2001–2022). The study uses firm fixed-effect regression along with several alternative specifications and an instrumental variable approach to ensure the robustness of the results. Boardroom network centrality is quantified by five measures that capture different perspectives on networks as viable conduits for resource exchange and information flow: degree, two-step reach, closeness, eigenvector and betweenness.

The authors find evidence for the benefits of board networks. Firms with well-connected boards (central firms) are more likely to have smaller cash holdings. The findings also reveal distinct effects stemming from local and global properties of centrality, with local network measures playing a more pronounced role in shaping cash-holding decisions. Overall, the evidence reflects the ability of connected directors to enhance governance by limiting managerial discretion over cash reserves, thus reducing agency conflicts associated with cash holdings.

This study offers important insights for regulators, investors and practitioners, highlighting the potential for connected directors to effectively curtail managerial autonomy in deploying corporate cash holdings.

This study contributes to the ongoing discussion about the advantages and drawbacks of board networks, which constitute a vibrant and burgeoning area of research in the finance literature. It also complements scanty network-based studies on firm cash holdings. Importantly, this study extends prior work by providing robust evidence and a comprehensive analysis of the nuanced roles that board networks play in affecting the level of cash reserves.

Despite the importance of foreign market entry mode (FMEM) decisions for the internationalisation of small and medium-sized enterprises (SMEs), there is insufficient understanding of the knowledge types and sources necessary for such decisions. This study addresses this issue by investigating the knowledge configurations that underpin FMEM initial choices and subsequent changes in SMEs.

This study adopted an interpretive approach and analysed empirical data from 37 in-depth interviews with decision-makers in internationalised SMEs from the United Kingdom.

The findings reveal that different knowledge configurations drive FMEM decisions in SMEs. Based on the analysis conducted for this study, initial FMEM choices draw on prior experiential knowledge combined with knowledge from desk research and knowledge acquired from peers, competitors and international partners. However, unlike many previous contributions, this research shows that foreign market experiential knowledge does not influence mode changes. Within-mode changes rely mainly on mode-specific knowledge and on knowledge about exploiting the benefits of the internet and digital platform ecosystems. Conversely, between-mode changes draw on diverse knowledge that is frequently created in interaction with international stakeholders or acquired externally.

This study contributes to the SME internationalisation literature by highlighting the knowledge configurations that inform not only initial choices but also between- and within-mode changes. Moreover, it reveals the importance of distinct types of digital technology-based knowledge for facilitating mode changes. It also adds to the knowledge-based perspective by underscoring that dynamic and heterogenous knowledge configurations, often created in interaction with international stakeholders, promote firm internationalisation.

The study aims to identify a model of commercializing entrepreneurial ideas in information and communication technology (ICT) knowledge-based companies.

A mixed method has been used in the research. The participants of the qualitative part were 15 key informants selected by sampling method purposefully and theoretically, while a sample of 205 experts was randomly chosen for the quantitative part. Data collection was completed through a semistructured interview in the qualitative part and by a researcher-made questionnaire in the quantitative part. The reliability of the research was confirmed by Cronbach’s alpha. The validity of the qualitative and quantitative parts was approved, respectively, by the criteria of Corbin and Strauss (2008) and by the content validity. Data analysis was done in the qualitative part through open, axial and selective coding, while in the quantitative part through partial least squares structural equation modeling (PLS-SEM) and adaptive neuro-fuzzy inference systems (ANFIS).

The commercialization model of ICT entrepreneurial ideas was depicted by the paradigmatic version of Corbin and Strauss (2008). The model has been consisted of six sectors as follows: causal conditions (including stimuli of science and technology parks, interests and motivation of managers of ICT knowledge-based company and environmental stimuli), contextual conditions (including skills and abilities of managers of ICT knowledge-based company, status of ICT knowledge-based company and enabling and facilitating legal framework), intervening conditions (including the complex nature of the ICT industry, science and technology parks’ support of companies, facilities and equipment for commercialization of ICT entrepreneurial ideas and economic system stability), strategies (including marketing research, planning and feasibility study of ICT entrepreneurial idea, design and production of ICT product and release and supply of ICT product), consequences (successful commercialization of ICT entrepreneurial ideas in the post-COVID-19 era) and the central phenomenon (ICT entrepreneurial ideas: commercialization in the post-COVID-19 era). Then, the main factors were confirmed through PLS-SEM and ANFIS. Among the factors, interests and motivation of managers of ICT knowledge-based companies, status of ICT knowledge-based companies, facilities and equipment for commercialization of ICT entrepreneurial ideas and release and supply of ICT products were identified as the most influential factors.

The model can help solve the challenges of managers and policymakers to commercialize ICT entrepreneurial ideas. Therefore, innovative production will increase, value will be created for the beneficiaries and economic, social and political growth will occur in the post-Corona era.

Commercialization of ICT entrepreneurial ideas has the potential to affect many aspects of economic and societal activities in the society such as GDP growth, employment, productivity, poverty alleviation, quality of life and education.

The research includes innovation in presenting a multidimensional commercialization model based on an entrepreneurial perspective in the special field of ICT with a mixed approach including grounded theory, PLS-SEM and ANFIS in ICT knowledge-based companies. But the most important innovation of the study is related to the findings. The main categories, subcategories and concepts of the research have been presented in the form of a theory entitled “ICT entrepreneurial ideas: commercialization in the post-COVID-19 era.”

This study explores the work practices of managers who increased working from home during the pandemic to determine what, if any, impact there was on the conditions for vertical leadership development.

The project utilized a survey approach. Each of the participants completed an anonymous online questionnaire using Google Forms. The questionnaire included four sections. The first section included informed consent and required participants to agree before completing the questionnaire. Participants provided general demographic information in the second section, including gender, age, race, job title, company size, average project team size and industry. The third section asked if there had been any change in their work location following the pandemic. The last section asked participants about their work practices.

This study demonstrates that managers continued to be engaged in vertical leadership development activities while working from home. It also suggests that managers faced challenges working from home following the COVID-19 pandemic, which were prime vertical leadership development opportunities.

To capitalize on these opportunities, organizations can more intentionally support the development of their remote staff.

The purpose of this study is to analyze the effect of corporate social responsibility (CSR) practices and corporate ethical behavior on implicit cost of equity (COE) using integrated reporting quality (IRQ) as a mediating variable in European companies belonging to the environmental, social and governance (ESG) index.

The authors use a panel data set of 540 European firms from the ESG index from 2013 to 2022. The data were collected from I/B/E/S and Thomson Reuters ASSET4 database and analyzed using the structural equation model to test hypotheses.

In the instance of ESG European firms, the findings indicate that CSR practices and corporate ethical behavior are negatively related to the COE. From the result of the Sobel test, this study indicated that IRQ has only indirect mediation on the relationship between CSR, ethical behavior of the company and implicit COE.

The findings have some policy and practical implications that may help regulators and managers in improving the COE and helping companies envision their future growth opportunities in a context where responsibility, ethics and disclosure are central to corporate valuation. Using the implicit COE is a better estimate of shareholder requirements in the context of ESG companies.

This research concentrates on ESG companies since they are more likely to contribute to environmental protection, which attracts responsible investors. Furthermore, the findings may be useful to worldwide managers and investors who use responsible practices as a criterion in their decision-making.

This study explores the integration of Artificial Intelligence (AI) within family businesses. It seeks to understand how family-owned enterprises navigate the adoption of AI technologies amidst balancing traditional business values and the imperatives of digital transformation. The research addresses the gap in the existing literature by providing insights into the strategic, operational and cultural dynamics influencing AI adoption in family businesses, highlighting the unique challenges and opportunities they face in leveraging AI for competitive advantage while preserving their legacy.

Employing a qualitative research design, this study utilizes semi-structured interviews with key stakeholders in Turkish family businesses actively engaging in AI projects. Purposive sampling was adopted to ensure a diverse representation of industries and AI adoption stages. The interviews aimed to capture in-depth insights into the motivations, strategies and outcomes of AI integration within these enterprises. Thematic analysis was conducted on the interview transcripts to identify recurring themes and patterns, providing a nuanced understanding of the factors driving AI adoption decisions in the context of family business values and traditions.

The findings reveal that family businesses in Turkey perceive AI as a strategic tool to enhance operational efficiency and customer engagement. However, integrating AI technologies is often met with challenges, including resource constraints, digital literacy gaps and concerns over maintaining family legacy. Notably, businesses that successfully navigate AI adoption tend to employ tailored strategies that align with their core values, involving key family members in the decision-making process and fostering a culture of innovation. The study also highlights the importance of ethical considerations and governance in ensuring AI initiatives resonate with the family business ethos.

The study’s reliance on qualitative interviews within a single country context limits the generalizability of the findings. Future research could expand the geographical scope and incorporate quantitative methods to validate the identified themes across broader populations. Additionally, exploring the impact of generational differences within family businesses on AI adoption could offer more profound insights. The study underscores the need for a more nuanced understanding of the interplay between technology and tradition in family businesses, suggesting avenues for further investigation into how these enterprises can leverage AI to foster innovation while preserving their legacy.

This research offers practical guidance for family businesses contemplating AI integration. It emphasizes the importance of aligning AI strategies with family values and involving stakeholders across generations in the adoption process. The findings suggest that family businesses can benefit from investing in digital literacy and fostering a culture open to technological innovation. Additionally, the study highlights the need for robust governance structures to navigate ethical considerations in AI adoption. By adopting a strategic approach to AI integration, family businesses can enhance their competitiveness without compromising their core values, ensuring long-term sustainability and success in the digital era.

Integrating AI in family businesses has significant social implications, particularly regarding employment and preserving the family legacy. The study suggests that thoughtful AI adoption can contribute to job creation and skill development, counteracting concerns over job displacement. Moreover, by leveraging AI to align with their core values, family businesses can reinforce their role as stewards of social and economic stability within their communities. This research underscores the potential of AI to support the intergenerational transfer of knowledge and values, fostering innovation while preserving the unique cultural heritage of family enterprises.

This study contributes to the emerging literature on AI adoption in family businesses by exploring the Turkish context. It fills a gap in the literature by examining the unique challenges and opportunities family businesses face in integrating AI, highlighting the interplay between technological innovation and traditional values. The research offers valuable insights into tailored strategies for successful AI adoption that respect the legacy and ethos of family enterprises. By focusing on the socio-cultural dimensions of technology integration, this study enriches our understanding of how family businesses can navigate digital transformation while preserving their identity.