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The current scenario is dominated by an urgent need for economic recovery caused by the global health emergency that has been at work since January 2020. Digital transformation plays a crucial role in bringing about this recovery. However, the failure rate of digital transformation projects over the last 10 years is very high. Considering the growing demand for digital transformation from businesses, the digital transformation failure rate, if unchanged, could lead to an exponential growth in technical debt. Technical debt is acquired when the digital transformation to be deployed at a business fails. The accumulation of technical debt will lead not only to economic stalemate but possibly also to yet another setback.

The developed set of methodologies form what has been termed the Digital Transformation Governance Engineering Process (DTGEP). This process can help any business wishing to undertake a digital transformation project to materialize their project in a sustainable, productive and competitive way.

DTGEP prevents the generation of technical debt because organizational knowledge is aligned with the technological solution that best suits the needs of each business in order to support its strategic or business objectives.

DTGEP has already been used to successfully discover the relationship between business features and the prospective digital transformation. However, it needs to be applied in case studies on many other businesses across the economy in order to gather more accurate information that could be clustered by sectors.

DTGEP was tested on a set of 25 projects, and this paper reports several interesting findings regarding its use, like the impact of the digital transformation on different parts of the business model canvas (BMC) and the intellectual capital of the organization developing the digital transformation, and how the status of the organization's intangible assets affects the decision-making process with respect to the prospective digital transformation.

Information technology/software (IT/SW) professionals use the business model canvas (BMC) to identify innovative digital solutions that improve their client’s business values. This paper aims to address the issue of considering, for a client company, the status of its intangible assets (IAs) in decision-making on the most innovative digital solution.

This paper provides a method (BMCIA-method) and a simulation tool (BMCIA-NetSim) to help IT/SW professionals identify and assess an organization’s IAs and their impact on the BMC of digital business.

IT/SW professionals used this approach, at 14 small and medium-sized enterprises (SMEs), to identify innovative solutions and add digital value to their businesses. They used the BMCIA to provide their clients (SME’s chief executive officer or chief operating officer) with a view of the BMC enhanced with the status of IAs. These expressed interest in the use of the BMCIA and underscore its importance for making better decisions while aligning IT and the business. A survey reveals how well the BMCIA-method performed during its use to discover the best solution to be developed at each SME.

IAs affect the achievement of the business goal targeted using the BMC. If these are not identified, valued and properly aligned with the BMC blocks, critical information is hidden from the eyes of IT/SW professionals and their clients, preventing optimal decision-making on which is the best IT/SW solution to be implemented to add digital value to the client company.

This proposal is unique insofar as it outlines a simulation-based methodological and technical solution using software agents to simulate the impact of the intangible side of an organization on its business model.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.