Business model innovation (BMI) is one of the key activities, which has to be continuously undertaken in every enterprise to sustain competitiveness in today’s digital economy. Although the interest in business models (BM) has risen significantly since the late 1990s, little is known about BMI practices in small- and medium-sized enterprises (SMEs), representing a majority of enterprises in the European market. Our study addresses this research gap and focuses on the investigation of drivers and outcomes of BMI in SMEs. A partial least squares path modeling (PLS-PM) method was used to empirically test the model using data collected in 2017 from 71 SMEs in Slovenia. Results have shown that the innovativeness of enterprises and their business environment has a positive impact on the level of BMI activities in the enterprises. However, this is not the case of fast developing and rapidly changing information technology. In addition, the results show that the level of BMI has a positive impact on BMI outcomes and further on overall business performance. The results contribute to the body of knowledge in the field of BMI activities in SMEs and offer useful insights to SMEs that intend to innovate their business model(s) and government to create a supportive environment.

Social media (SM) enables micro, small, and medium sized enterprises (SMEs) to improve brand awareness and to engage their audience, which can lead to referrals, repeat business, and increased sales. However, the existing literature offers limited insights into how the ability to leverage SM for commercial activities that are beyond transactions (relational social commerce capability) can affect performance outcomes for SMEs. Drawing on the existing literature and insights from in-depth interviews with six SME managers/owners, we developed a conceptual research model and examined it empirically by using a dataset collected from Slovenian SMEs. This study identifies relational social commerce capability and competitive advantage as important mediators when exploring the impact of SM use on business performance. More specifically, the findings reveal the mediating role of relational social commerce capability between SM use and competitive advantage, while SM use was not found to have a direct impact on competitive advantage. Furthermore, the findings illustrate business performance as a result of the competitive advantage derived from relational s-commerce capability.

In this paper, a bibliometric, content and thematic analysis of digitalization in maritime transport and seaports was performed. The research was primarily motivated by the scarcity of similar works offering a comprehensive and recent literature analysis, the advancements of the maritime digitalization itself, and its influence on all related processes. The initial investigation phase considered 8178 publications, leading through the research steps to the final inclusion of 280 papers, the thematic and content analysis of which were performed using various bibliometric tools. The research encompassed various criteria, ranging through databases, keywords, topics, research areas and others. The resulting concept map emphasized the main concepts that digitalization in maritime transport relies on, or strives towards. The aim of the study was to address the fundamental research questions, with the tendency to define the main key points in the current maritime transport and seaport digitalization process. It can be concluded that an increasing number of authors recognize the importance of new digital technologies in maritime transport and seaports. However, with new digital technologies come specific risks such as spoofing or data manipulation that need to be further analyzed.

This paper aims to present the model of factors which influence the digital transformation in maritime transport sector. The preliminary model is based on a literature review and interviews conducted to identify the relevant factors influencing the digital transformation of stakeholders operating in the maritime transport sector. In order to test the model, the survey was conducted on the sample of Croatian administrative (port authorities, ministry, harbormaster’s offices, etc.) and commercial stakeholders (freight forwarders, agents, terminal operators, etc.) operating in maritime transport sector. The collected data was analyzed using the partial least squares structural equation modeling (PLS-SEM) approach. The research has shown that organizational, technological, and environmental (TOE) factors affect the digitalization of the organizations in the maritime transport sector. As a result of digitalization, changes in business models are visible: organizations in maritime transport sector generate additional revenue from new sources, provide new services, and introduce new sales channels.

Small and medium-sized enterprises (SMEs) need to keep pace with large enterprises, thus they need to digitally transform. Since they usually lack resources (budget, knowledge, and time) many countries have their support environment to help SMEs in this endeavor. To be able to ensure the right kinds of support, it is crucial to assess the digital maturity of an enterprise. There are many models and assessment tools for digital maturity, however, they are either theoretical models, partial, vendor oriented, or suited for large enterprises. In this paper, we address the problem of assessing digital maturity for SMEs. For this purpose, we developed a multi-attribute model for assessment of the digital maturity of an SME. We followed the design science research approach, where the multi-attribute model is considered as an IT artifact. Within the design cycle, the decision expert (DEX) methodology of a broader multi-attribute decision making methodologies was applied. The developed model was validated by a group of experts and upgraded according to their feedback and finally evaluated on seven real-life cases. Results show that the model can be used in real business situations.

Background and Purpose: In this paper, we aim to propose a guideline for further research towards development of an adaptive strategic IT governance (ITG) model for small and medium-sized enterprises (SMEs). The use of IT has the potential to be the major driver for success, as well it provides an opportunity to achieve competitive advantage and support digital transformation. In order to achieve IT benefits, enterprises need an effective and successful ITG model, which follows and adapts to business needs. Available ITG models are too generic and do not differentiate for enterprises of different industry, size, maturity etc. Methodology: In order to review existing ITG mechanisms, their definitions and identify contingency factors, we performed an extensive literature review (LR). For the initial set of databases, we used the list of journals, which are indexed in the Journal Citation Reports. We also used Web of Science to identify articles with the highest number of citations. Results: This paper provides the most important definitions of ITG and proposes its comprehensive definition. Next to this, we introduce ITG mechanisms, which are crucial for the effective implementation and use of ITG. Lastly, we identify contingency factors that influence ITG implementation and its use. Conclusion: Despite extensive research in ITG area, considerable work is still needed to improve understanding of ITG, its definition and mechanisms. Multiple efforts to develop methods for governing IT failed to achieve any significant adoption rate of ITG mechanisms. To enable ITG to become an integral part of Corporate Governance, further research needs to focus on the development of an adaptive strategic ITG model. In this paper, we propose a next step for more practical method for ITG implementation and its use.