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The digitization efforts for small and medium enterprises (SMEs) as a result of advances in information technology are challenging, with one of them being the creation of digital ecosystems for SMEs. This study aims to develop a model of the relationship between SMEs’ readiness to change, agile leadership and dynamic capability to implement a digital ecosystem for SMEs in the creative industry in Semarang, Central Java, Indonesia.

A survey methodology was used in this study. Respondents in this study were creative industry SMEs in Semarang, Central Java, Indonesia. SMEs in the creative industry sector were chosen as samples as they require digital technology to manage their business development, production and distribution, customer relationships and to innovate in their businesses. In total, 250 creative SMEs, selected based on a purposive random sampling method, were included in this study. Data were analyzed using structural equation model-partial least square.

This study provides current insights and future needs for implementing digital ecosystems in SMEs in Indonesia’s creative industries. It also identifies three critical conditions for dealing with Industry 4.0: organizational readiness to change, agile leadership and dynamic capability.

In response to information technology advancements, this study proposes a new model for implementing digital ecosystems for SMEs. Furthermore, this study adds knowledge about the concept of a service-oriented technology ecosystem to help SMEs operate more efficiently. It focuses on the interaction of entities to improve the system’s utility, gain benefits and promote information exchange.

This paper aims to study the default risk of small and medium-sized enterprises in the construction sector.

An unbalanced sample of 2,754 Portuguese companies from the construction sector, from 2008 to 2020, is analysed. Companies are classified in default or compliant following an ex-ante criterion. Then, using the stepwise analysis, the most relevant variables are selected, which are later used in the logit model. To verify the robustness of the results, a sample of legally insolvent companies is added (mixed criterion) and the initial sample is split into two subperiods.

Financial variables are the most relevant to predict the pattern for this sample. The main conclusions show that smaller and older companies, more indebted, with more liquidity and with higher EBIT have a higher probability of default. These conclusions are confirmed using a mixed criterion to classify companies as default or compliant and including a macroeconomic dummy.

This work not only contributes to enlarging the literature review but also makes relevant contributions to practice. Companies from the construction sector can understand which indicators must control to avoid financial problems. The government also has relevant information that can help in adapting or creating regulations for recovering or revitalizing companies.

This study proposed an ex-ante criterion that can be used for all types of companies. Most works use a legal or a mixed criterion that does not allow for detecting signs of financial problems in advance. Moreover, the sample used is almost unexplored – SMEs from a sector with great mortality rate.