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This study explores knowledge management within an Australian regional health care organization. Many barriers inherent in the organizational structure and design of the organization that are indicative of the public health sector have been identified and discussed. From the results and discussion it is concluded that new models, tools and techniques for knowledge management specific to the environment of the public sector and particularly the health sector are required.

This paper presents a model of knowledge acquisition from definitions of data, information and knowledge. The model asserts that knowledge cannot exist outside of the human brain, and that any expression of the knowledge requires it to be transformed into information to be communicated outside of the brain. The model asserts that information is acquired through the sensors to the brain where it is processed with prior knowledge and that new knowledge can be created from the processing of information within the brain only. From a discussion of this model in the context of alternative viewpoints, it is concluded that the future focus for knowledge management should be toward human resource strategies that leverage human‐intellectual capital within firms and for the dissemination and sharing of important information that promotes creativity and innovation within and between employees.

The authors investigate conditions that drive innovation performance in foreign-owned subsidiaries. The authors study five variables affecting innovation performance: organizational agility and digital capabilities as the main drivers and competencies and embeddedness in internal and external networks as complementary antecedents of innovation.

The authors draw on the neo-configurational perspective and apply fuzzy set qualitative comparative analysis (fsQCA) to empirically test survey data from subsidiaries located in the emerging economies of Thailand and Vietnam.

While the authors find no single condition on its own determining innovation performance, the authors do find that in concert they form four configurations of high innovation performance. The results indicate that all configurations contain competencies, as well as that subsidiaries should prioritize between internal and external networks to complement agility, digital capabilities, to achieve high innovation performance. The authors also reveal intriguing contextual differences in the innovation performance configurations between the two host countries.

By incorporating causal complexity as well as substitutability and complementarity of innovation drivers, the authors extend the current understanding of subsidiary innovation performance outcomes.

The study aims to explore the interplay between open innovation and intellectual property. Differently from previous studies, we argue that open innovation fosters firm's patenting activity.

We use linear regression analysis to test model's hypotheses. Data are drawn from the Eurostat statistics and refer to a large sample of European firms (NACE Rev.2).

The findings confirm that open innovation fosters patenting activity in health care, also thanks to huge governments' expenditures in this market.

The study focuses solely on European firms and it adopts a traditional linear approach. So, we cannot exclude that different dynamics may occur across European borders. Future research should address this concern by focusing on multi-country comparative studies.

Open innovation is the most suitable model for health industry, because it improves both innovation performance and intellectual capital of firms.

The study tackles an existing gap of the literature by considering how the presence of large customers impacts the strength of intellectual property protection.

The objective of the study is to identify and explore factors affecting the productivity of companies in the Czech Republic with a focus on the role of firm size, firm age, indebtedness and long-term negative equity, efficiency of assets usage, liquidity, legal form, location and sector affiliation.

The study utilizes a large unbalanced panel dataset of 91,257 firms (548,998 observations in total) covering the period 2000–2019. The dependent variable, i.e. total factor productivity (TFP), reflecting the overall firm productivity, was estimated by ordinary least squares (OLS) regression. The main findings were obtained through the estimation of two econometric models explaining the effects of factors on firm-level TFP. First, the OLS regressions together with Nomenclature of Territorial Units for Statistics (NUTS) 3 regions, year dummies and robust standard errors were estimated. Second, as a robustness check, the very same model was estimated with the random effects (RE) generalized least squares (GLS) method.

The analysis has shown a statistically significant U-shaped relationship (with the turning point of 38, resp. 36 years) between firm age and the overall TFP among the Czech enterprises. The authors provide two key findings in terms of a firm size-productivity relationship. Firms with fewer employees, often officially registered as self-employed individuals/freelancers, report higher levels of productivity. Nevertheless, when it comes to firm property (assets), the authors find a positive relationship between firm size and TFP. A high proportion of debts in the capital structure of analysed companies, or even negative equity, has been negatively associated with TFP levels.

More research is needed in the deeper exploration of sectoral and regional determinants of firm TFP, as both regional and sectoral heterogeneity were observed in the study. The authors propose the employment of a multi-level modelling approach, including a range of continuous variables and investigation of their role in shaping firm-level productivity.

Concerning the results, managers should be mindful of optimal capital structure principles due to the negative impact of a high level of debts on the productivity level. High indebtedness means high-interest payments drawing earnings off, which may be, especially in the long term, a hindrance to investments. The entrepreneurship and small- and medium-sized enterprise policies may be targeted at the soft policy actions, including advisory services and counselling on business development or risk and on the provision of financial capital allowing firms to strive for growth-oriented projects.

To the best of the authors' knowledge, this is the first attempt to provide insight into the firm-level productivity determinants, based on the large dataset covering enterprises across the whole economy over the long term, representing the structure of the country's entrepreneurial activity.

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 small business sector of the UK economy is extremely important and the government expends considerable resources in providing support services for this sector. This paper investigated the reasons why SMEs move from traditional commerce to e‐commerce, the efficacy of the support services and the barriers encountered by SMEs adopting e‐commerce. The research methodology involved literature review and interviews with SMEs’ owner‐managers and a UK Online business adviser. It was found that at least two “e‐commerce stars” used by the government to promote its support services had in fact not used those services. The historical relationship problems between Business Link and SMEs were still causing problems. Cost was not seen as an inhibitor to adopting e‐commerce. Some evidence was emerging that e‐commerce may be able to save failing or struggling businesses. Other unexpected outcomes were that e‐commerce had social benefits for SMEs’ owners in reducing working hours yet still increased sales.

The purpose of this study is to analyze the configurational effect of transformational leadership, team conflict, team cohesion and psychological safety on team learning.

The questionnaire and two different data sources (team members and team leaders) were used as data collection strategy. Based on a sample of 82 teams, qualitative comparative analysis in its fuzzy set variant was used to test the model.

The findings of this study reveal that three important paths explain team learning: the presence of transformational leadership, task cohesion and psychological safety with the absence of relationship conflict; the presence of transformational leadership, social and task cohesion and psychological safety; and the presence of transformational leadership, social and task cohesion with the absence of relationship and task conflict.

Overall, the findings suggest that the presence of transformational leadership, team cohesion and psychological safety and the absence of conflict are important conditions for team learning to occur, as well as that more than one configurations of antecedent factors drive team learning.

This study aims to integrate both internal and external factors to examine the effect of innovation and perceived trade barriers on firms’ export activity. In particular, the authors expand the scope of innovation into both technological (product and process) and non-technological (marketing and management) innovation. Furthermore, the authors examine the potential joint effect of perceived customs and trade barriers on firms.

The authors empirically test the hypotheses by using firm-level data from the World Bank Enterprise Survey during the most recent year available for each ASEAN country, together with both firm- and country-level controls from various data sources. Specifically, the final sample for analysis includes 3,602 firms from Cambodia (100), Indonesia (1157), Laos (99), Malaysia (445), the Philippines (719), Thailand (572) and Vietnam (510).

First, the results show that firm-specific innovation capabilities (including non-technological of managerial innovation) do matter for explaining export propensity. Furthermore, in contexts in which location-bound advantages are prevalent, the effects of innovation may disappear and further deteriorate performance in the post-entry stage. Second, the findings support the notion regarding the prevalence of country- over firm-specific advantages for the international expansion of companies from ASEAN countries. More specifically, this study holds that innovation does not matter for export intensity and that factors related to the location’s institutions appear to be more important.

First, it acknowledges and examines the effect of not only technological innovation, but also non-technological innovation on export intention. Second, the paper measures the institutional effect at the firm level, rather than as a country-specific factor, to better understand the combined effect of internal and external variables on firms’ export strategy. Furthermore, it performs a cross-country analysis while controlling for other confounding firm and macro factors. Third, the authors test the model on both pre-entry (export propensity) and post-entry (export intensity) stages. Finally, the study responds to calls for research that examines the international competitive advantages of firms from ASEAN countries.