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Purpose: The literature mostly investigates the business cycle transmission of the United Kingdom (UK) and France as a part of a wider group (e.g. European Exchange Rate Mechanism or G7), despite their historical links and regional significance. Thus, herein paper aims to analyse the inter-dependence of these economies and how a shock from one of them affects the other for the data since 1978 to 2019. Design/methodology/approach: In this paper, first, preliminary statistics were calculated in order to describe the historical relationship between these countries. The econometric part estimates the vector auto-regression model (VAR) to assess the inter-dependence of the economies. VAR model allows further to inspect the impulse response functions that shows the shock dynamics from one country to another. In order to verify if a shock from one of the economies is important to another, the study uses granger causality test. Findings: The study establishes a strong link between these countries. A business cycle is transmitted significantly between the economies of France and UK, with a single standard deviation shock from France resulting in a long term effect of 0.4% change in gross domestic product (GDP) of UK and 1% vice versa. Additionally changes in GDP of both of the countries significantly Granger-cause change to GDP of the corresponding economy. Originality/value: This is the first empirical study investigating the business cycle transmission between France and UK and providing a quantitative assessment of their inter-dependence. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this study is to identify dynamic capabilities in joint R&D projects, that enable them to successfully achieve knowledge creation and discover how they behave throughout the life cycle of a collaborative project, although this understanding could enhance the interorganizational knowledge creation process.Design/methodology/approach The authors conducted 65 semi-structured interviews and utilized secondary data from a joint R&D project. The authors analyzed all data using the Gioia method.Findings The authors confirm that specific dynamic capabilities are needed to create interorganizational knowledge and discovered 11 knowledge-based dynamic capabilities (KBDCs) for successful innovation results in joint R&D projects. Gioia method allowed to discover that different KBDCs are necessary for the different phases of the project lifecycle. Additionally, the authors identify two microprocesses in which KBDCs are engaged in joint R&D projects, knowing that is a part of the sensing and seizing processes and synthetizing that is a part of the seizing process, and establish several KBDC microfoundations.Research limitations/implications We used retrospective interviews. This kind of interviews are impacted by the experiences of the respondents lived after they have participated in the joint R&D project.Practical implications Dynamic capabilities for collaborative knowledge creation and their specific microfoundations can help managers delineate their strategic practices and actions to achieve more sustainable, long-lasting results from joint R&D projects.Originality/value The authors improve Teece's model and propose two microprocesses in which dynamic capabilities are engaged, that emerged in the context of a joint R&D project, knowing that is a part of the sensing and seizing processes and synthetizing that is a part of the seizing process, which supplement those already known: sensing, seizing and transforming. The authors tested the Gioia method, which is important for detecting dynamic capabilities; therefore, the authors propose a methodological advance that can contribute to future studies. The authors provide an interorganizational perspective on KBDC and a methodological view of the changes in KBDCs required for joint R&D projects. [ABSTRACT FROM AUTHOR]