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Cultures don’t clash … people do. Hidden below the veil of “incompatible cultures” is a complex network of human-to-human interaction involving information-exchange transactions that have gone awry. The multitude of these troubled exchanges results in what is often branded as “M&A failure, due to culture conflict.”

This chapter presents a theoretical discussion that features practical dynamics of the post-merger integration (PMI) process. The aim is to cultivate a deeper understanding of critical, less-acknowledged micro-level aspects of the post-merger integration stage, specifically, those which underlie the development and maintenance of an organization’s culture and lead to organization performance. It is the unseen information exchange among human actors that leads to the perceptible post-merger outcomes, such as cultural unity and task performance. The quality of these micro-exchanges leads to the value capture from the M&A transaction, thus determining the success – or not – of the combination.

Presented is a synthesis of numerous existing theories, perspectives, and ideas from various scholarly communities, combined with a drill-down to the basic human interactions that define a culture and lead to positive performance. Information flow is the sustenance of an organization, so when merging organizations restructure the information flow is abruptly disrupted, often at pronounced near-term cost. The information-flow channels must be mended for social unification and performance value goals of the combined organization to be realized. The information-transporting social networks of the organizational actors must therefore adapt and intermingle across the old-organizational faultlines. This is accomplished when individual actors alter their personal social networks and retool themselves for a new set of information-exchange interactions.

In closing, the author counsels managers to focus on the dyadic information exchange of their direct-reports as an actionable approach to PMI management. The chapter concludes by pointing researchers toward studying the micro-level aspects of PMI and offers computer modeling and simulation, and laboratory experiments as effective ways to study PMI dynamics at the micro-level of organization behavior. Such methods may also lead to an ability to forecast outcomes of specific post-merger integration scenarios.

An increasingly dominant theme of recent M&A research has been the issue of cultural compatibility and the notion of “culture fit” and its contribution to post-combination performance and integration (Cartwright, 2005). Hence, various methodologies, both qualitative and quantitative, have been applied to the M&A context to analyze the cultures of combining employee groups and the extent to which they share the same reality.

In the last few decades, narratives and stories have attracted the interest of organizational researchers and practitioners both as analytic tools and as a subject for study. This chapter explores the value of stories as a means of understanding culture, communicating values and ideals, promoting adaptive change, and developing cooperation and identification with the new merged organization. It illustrates the application of narrative methodologies within the context of a recent merger within the banking industry.

This paper aims to conduct a tertiary review to analyse the state of the art of literature reviews on knowledge management (KM) published in academic journals and provide an overview of their evolution. From 2000 to 2022, about 500 reviews have been published in the KM field, with most systematic studies compared to bibliometric or meta-analytic studies, and an absence of previous tertiary studies. Therefore, given the lack of previous tertiary research, this paper provides a complete picture of the evolution of review topics in the past and presents implications for both researchers and practitioners.

A classification scheme was defined to cluster and evaluate the literature reviews, both in terms of methodological approach and content. Regarding the content, the various secondary papers were classified according to the purpose of the research (state of the art, taxonomy, research agenda and research framework), the unit of analysis (small and medium enterprise, large company, start-up and university), the KM models adopted and the thematic areas addressed. Furthermore, a tertiary review methodology was identified integrating two main approaches: a bibliometric approach for cluster identification and a systematic approach for the discussion.

Two categories of contributions emerge from the results: those concerning research topics that have found a continuous interest over time and those that have not yet found a constant research interest. This latter aspect is relevant to help researchers conduct future literature analysis in KM research to bridge existing research gaps.

This paper provides a unique compendium of search directions to offer a comprehensive overview of the scientific debate about KM. This overview can also be used as a managerial panacea to identify best KM practice guidelines from existing reviews.

This is a unique attempt to conduct a tertiary study on KM for more than two decades by providing insights into the structural body of knowledge through academic progress in the subject of KM. Thus, this study expands the field of KM and provides original approaches for research in the field.

Over recent years an increasing amount of funds has been committed to mergers and acquisitions in the UK. Expenditure rose nearly tenfold from £2.3bn in 1983 to £22.1bn in 1988. This surge in spending has continued despite fears over economic trends, both domestic and international, and shocks in financial markets, notably the global col lapse in share values of October 1987. This monograph is essentially concerned with the events up to, and including, the first three quarters of 1989, ie, a period of two years after the crash of October 1987. Whilst the financing of mer gers and acquisitons activity is a fast moving arena, it does seem to be an opportune time to review developments to date and, tentatively, to suggest future trends in this sphere.

This study aims to explore how knowledge management (KM) influences the intellectual capital (IC) of organizations operating in health care and how IC and knowledge-sharing (KS) can contribute to the achievement of sustainable development in health systems. Notably, this study focuses on telemedicine, investigating how relational capital contributes to KS in the context of remote care services.

To comply with the paper’s aim, the authors use a qualitative research method based on a polar case study suitable for IC in health-care studies. More precisely, this study analyzes a nonprofit organization that, for over 15 years, has offered a free multispecialist teleconsultation service to answer medical questions from the most disadvantaged places in the world.

The findings show that the KM significantly contributes to the IC of organizations. Indeed, it improves the data management and transmission system, it increases performance flexibility in times of resource scarcity without compromising business objectives and it can attract new human resources even when not motivated by selfish goals (volunteer physicians).

This research contributes to studies on IC in health care by focusing on the contribution of telemedicine to the creation of IC. In particular, this work emphasizes the ability of telemedicine to develop and share knowledge in disadvantaged areas of the world. Moreover, in the current context, still strongly permeated by the health emergency generated by the pandemic and recently by the war in Eastern Europe, the importance of such assistance and diagnosis grows.

The conclusions the research findings lead may guide policymakers toward a policy supporting telemedicine. It would alleviate general health-care costs and completely revolutionize light health care’s role. Moreover, reducing socioeconomic distances, improving access to care and applying innovative technologies for sharing outcomes foster balanced socioeconomic development and knowledge dissemination.

This research has shown how telemedicine represents a new successful business model even in times of crisis. The organizational model makes it possible to offer cutting-edge specialized care, contain costs, easily reach disadvantaged areas of the planet, strengthen the skills and autonomy of the most backward countries through a process of KS and push the structures operating there to interact with those in advanced countries.

The purpose of this paper is to solve the challenges in knowledge outcome (e.g. knowledge contribution, knowledge exploration) improvement at the post-adoption phase in the context of e-communities. This study develops a model by integrating dedication-constraint framework and self-presentation theory. The model proposes that knowledge outcomes at the post-adoption phase rely on relationship development between community members, conceptualized as commitment. The authors also hypothesize that members’ perceived online self-presentation quality, theorized as personal control and social influence, serves as the key means to motivate members’ commitment.

This study used survey instrument to collect data and adopted partial least squares to test the proposed hypotheses.

The results show that perceived online self-presentation quality positively affects relationship development, which in turn affects continuance intention for knowledge outcomes.

This study expands the dedication-constraint framework by integrating the self-presentation theory. This study contributes new knowledge by proposing a model that delineates the relationship between online self-presentation quality, relationship development, and knowledge outcomes at the post-adoption stage.

This study shows that members’ perceived online self-presentation quality affects both affective commitment and calculative commitment, which in turn affect knowledge outcomes, suggesting the important role of the perceived quality in stimulating a member’s post-adoption reactions.

This study contributes to the research on post-adoption behavior in an e-community context by accounting for the influence of e-community features in self-presentation quality and dedication-constraint mechanisms on post-adoption phenomena.

This paper aims to estimate the delay or timely effects of the national vaccination strategy for COVID-19 on Italian gross domestic product (GDP). By adopting a knowledge management lens, the study highlights the importance of “time” for Italian recovery. Indeed, recovering an adequate growth rate is crucial for the future of employment, well-being and management of Italian public debt.

This study applies an epidemiological model of a universal access vaccination programme against COVID-19. The economic model is based on the time-shift of available quarterly projections deriving from the expected delay or acceleration of the national vaccination plan against COVID-19.

The basic concept underlying the scenario analysis is that the sustainability of the expected recovery of the Italian economy due to the COVID-19 shock, and consequently the growth of the GDP, is time-dependent on the rollout of the national vaccination plan.

A delay in the vaccination campaign could have a twofold negative impact on the growth of the Italian gross product: it reduces the quarterly growth over the previous year in the short term and it delays the quarterly upwards trend over the next two years. Policymakers and practitioners are called to promptly face new dynamic scenarios due to public and economic policies to fight the COVID-19 crisis.

To the best of the authors’ knowledge, this is the first attempt of research that focuses attention on the synchrony between the economic time necessary for recovery and the real-time necessary to achieve vaccination coverage for the restart of production activities.

This study aims to offer an empirical analysis to identify the relation between the adoption of knowledge management practices and the improvement of social innovation capabilities as an outcome of the knowledge sharing. Specifically, social innovation capabilities are triggered by knowledge-sharing enablers, such as intrinsic and extrinsic socially driven motivations.

Based on a sample from 300 nonprofit organizations, the study explains causal relationships in terms of the multiplicity of triggers that act on a social innovation capability. The research applied the partial least squares structural equation modeling (PLS-SEM) method through SmartPLS 3.3 software. Data are collected from an online survey and highlight the employees’ and volunteers’ boost in nonprofit organizations to seek positive social change as a priority goal of their business model.

The results support the existence of a direct and positive relationship between knowledge-sharing enablers (i.e. intrinsic and extrinsic socially driven motivations), the mechanism of the formation of knowledge-sharing behaviors (an inside-out and outside-in process) and social innovation capabilities.

The study combines the open innovation framework with social innovation activities and investigates the role of knowledge sharing in the building of social innovation capabilities. To the best of the authors’ knowledge, the paper is the first attempt to describe a synergic framework, including open innovation literature, social innovation capability and knowledge-sharing processes.

This paper is a part of the research stream that focuses on the processes of distribution of knowledge flows along the boundaries of the organization. Thus, this study broadens the field of knowledge management and social innovation initiatives.

For many small firms, buying technology through licensing has long been regarded as a major route to successful new product development. However, little research aimed at comparing the attitudes of small firms towards buying technology through licensing has been conducted. Using both univariate and multivariate analysis, this article reports an empirical study comparing the characteristics and perceptions of 81 Australian licensee and 107 nonlicensee small firms towards buying technology from international nonaffliated firms. Surprisingly, small nonlicensee firms are found to scan international technology developments more than their licensee counterparts. In addition, whereas nonlicensee firms have higher perceptions of the costs of technology licensing than licensees, paradoxically they also appear to have higher perceived benefits than licensees. Based of this inconsistency between attitude and behavior four types of firms are proposed — active/satisfied licensees, passive/dissatisfied licensees, potential licensees and nonlicensee firms. Theoretical and managerial implications of the results are discussed.