Lejla Turulja

Purpose: Digital transformation (DT) is widely recognised as a strategic imperative for organisations seeking to sustain competitiveness in increasingly digitalised environments. Despite extensive research, empirical evidence on how digital transformation translates into financial and non-financial performance remains inconclusive. This study addresses this gap by proposing and empirically testing a model that links digital maturity to organisational performance through internal process efficiency as a process-based mediating mechanism. Design/methodology/approach: The study draws on survey data from 300 managers in Croatian enterprises across multiple industries and tests the proposed model using structural equation modelling (SEM) to examine both direct and mediated relationships. Findings: The results show that both managerial and technological dimensions of digital maturity are positively associated with internal process efficiency, which in turn enhances financial and non-financial performance. The mediating role of internal process efficiency has been confirmed, particularly in contexts where strategic readiness alone does not translate into operational outcomes. Practical implications: The findings indicate that digital maturity should not be approached only as a technological upgrade, but as an organisational transformation that requires integrating strategic intent, technological capabilities, and internal process redesign. The proposed model helps decision-makers align digital investments with process optimisation to improve organisational performance. Originality/value: This study advances the literature by introducing a two-dimensional operationalisation of digital maturity and empirically validating the mediating role of internal process efficiency in a transitional economy context. The findings provide novel empirical evidence on this mechanism within a European transitional economy.

In the modern business environment, big data analytics and data mining techniques are increasingly recognized as tools for improving fiscal discipline and more efficient management of public revenues. This paper explores the possibility of applying the knowledge discovery process from databases to detect patterns of financial behavior that may indicate tax non-compliance. A quantitative approach based on the analysis of secondary data from ten joint-stock companies from the Federation of Bosnia and Herzegovina, for which financial statements and tax debt data are available, was used. The relationship between key financial indicators (EPS, financial stability ratio, total asset turnover ratio and debt ratio) and the amount of tax debt was examined using descriptive statistics and regression analysis. The results show that lower profitability and poorer financial stability significantly correlate with higher tax debt, while high operational efficiency and debt have a more complex and statistically marginal impact. The findings confirm the possibility of using publicly available financial data for early identification of risky taxpayers, which opens up space for further development of predictive models in the domain of tax analytics.

Background: Rapid changes and dynamic markets significantly impact the way businesses operate. Many companies fail to adapt and innovate their business models, which jeopardises their sustainability. Managers, as key decision-makers, play a pivotal role in the innovation process, whereby their entrepreneurial competencies directly influence various dimensions of business model innovation. Objectives: The main aim of this study is to examine the impact of entrepreneurial competencies on the new value proposition dimension of business model innovation (BMI), exploring competencies such as opportunity recognition, analytical thinking, innovativeness, tenacity, and passion for work. It investigates how these competencies contribute to developing new offerings and new channels, attracting new customers and markets, and building new customer relations. Methods/Approach: The study is conducted on a sample of 267 managers of medium and large companies across various industries in Bosnia and Herzegovina. The data were analysed using Structural Equation Modelling (SEM). Results: The results show that different entrepreneurial competencies have a significant impact on various aspects of a new value proposition. Conclusions: The study contributes to a deeper understanding of the influence of different entrepreneurial competencies on new value proposition dimensions within BMI. Managers who effectively utilise these competencies can enhance their companies’ value propositions, thereby increasing competitiveness and business success.

The integration of data analytics into forensic accounting has revolutionized the detection and prevention of financial fraud. This paper conducts a comprehensive analysis of recent advancements in this field, highlighting the application of machine learning, data mining, and big data techniques in identifying fraudulent activities. By reviewing the latest research and examining case studies, we demonstrate the enhanced accuracy and efficiency these technologies offer over traditional methods. The findings suggest that financial institutions should adopt these advanced tools to mitigate fraud risks and improve overall financial security. The paper also explores future research directions, emphasizing the need for developing hybrid models and real-time detection systems to further enhance fraud detection capabilities.

The main aim of this study is to explore the mediating effect of innovation in the relationship between human resource management (HRM) practices and organizational performance. HRM practices are observed through selective hiring, training, participative decision-making, and rewarding. Innovation is conceptualized over behavioral, product, process, and market innovation. The study relies upon the principles of social exchange theory and resource-based theory. Data were collected from 408 managers in an emerging economy context. The proposed conceptual model is evaluated with structural equation modeling using Lisrel 8.8 and SPSS 22. Study findings suggest that innovation influences the relationship between selective hiring, training, and participative decision-making and organizational performance. However, no mediating effect of innovation was found in a relationship between rewarding and organizational business performances. Since human resources and innovation are among the leading sources for building competitive advantage for companies, the study findings contribute to HRM and innovation.