Ongoing technological development pushes industry towards the so called fourth industrial revolution. Considering new technology as a determinant of future business environment, we find it necessary to examine how platforms such as Industry 4.0 will change enterprises organization and business models. Designed model should serve as guidance for new and also already existing enterprises for implementing of Industry 4.0 required attributes especially in early stage. Main emphasis is given on software and cloud solutions that will become necessary despite the fact that in recent industrial SMEs they do not play significant role. Such transformation will raise crucial questions about funding new technologies.

Industry 4.0 (I4.0) approaches, frameworks, and technologies have gained an increasing relevance in order to gain sustainable and competitive advantages for industrial enterprises and for small and medium enterprises (SMEs), as well. Contrary to previous studies, which are mainly focused on companies, we conducted a questionnaire-based survey on inhabitants, in an attempt to examine general awareness about I4.0 concepts, in the region of South India. Our findings revealed a rather poor informational level of I4.0 concept and its components, which consequently leads to inadequate future actions and expectations. Moreover, respondents with prior information about I4.0 framework tend to have rather positive opinions and expectations of possible future trends. We emphasize that insufficient knowledge of the potential workforce regarding I4.0 concepts, especially in a region with ascending demographic development, can be considered as one of the main barriers for a successful and sustainable future development towards the 4th industrial revolution.

The Short Dark Triad is a scale used to capture three aversive personality traits—Machiavellianism, narcissism, and psychopathy on the subclinical level. The present study aimed to verify the psychometric properties of the Slovak version of the Short Dark Triad scale in three studies. The first two studies aimed to examine the reliability of the scale. The aim of Study 1 was to examine the factor structure of SD3. A three-factor model consisting of three latent intercorrelated factors in a unidimensional and bifactorial model were examined on a sample of 588 participants. Study 2 aimed to test the consistency of the results over time (test–retest reliability) on the sample of 117 participants. In Study 3, convergent and divergent validity was examined on the sample of 333 participants. For both kinds of validity examination, the Slovak version of NEO-FFI was used. The internal consistency of the subscales and test results, the same as the retest results, were satisfactory. The relationships between the scales were found to be significant. Confirmatory factor analysis (CFA) results supported the original three-factor model. Significant interrelations have been established between Machiavellianism and openness, agreeableness and conscientiousness; narcissism and neuroticism, extraversion and agreeableness; psychopathy and openness, agreeableness and conscientiousness. The Short Dark Triad achieved satisfactory values of reliability and validity; therefore, it can be used on the Slovak population.

Innovation is the key to the growth of each business in a fast-changing world. Innovations affect financial activities because the successful innovation opens the new markets, gives the opportunity to reduce costs or introduce new products and services with a higher profit margin. Each organization, institution, enterprise or individual can be innovative. Innovations may not be implemented only in large enterprises, but also in medium or small. The aim of this paper is to innovate and optimize the polishing process in production plant with variant production. In this paper case study is used as research method which includes measurements and observation. The paper is focused on five variants of one product. We obtained the required data by measuring in a manufacturing plant in southern India in Madurai. At the end the results are summarized, and the optimization of the polishing process is proposed.

This paper aims to examine the research output on cybersecurity in financial institutions from 2000 to June 2025 through an extensive bibliometric analysis. This paper uses the WoS database and bibliometrix package in RStudio to analyze cybersecurity papers. Using 2,005 publications from WoS Core Collection database, this paper maps the intellectual structure, thematic evolution, and collaboration patterns of the field following PRISMA 2020 guidelines and established bibliometric techniques. The findings show a rapidly expanding but highly fragmented research landscape. Publication activity is dispersed across a large number of journals and international collaboration patterns reflect differences in national research systems and policy environments. The results show a shift from foundational information security and risk management topics toward data-driven and AI-enabled cybersecurity applications. However, technical research streams remain weakly integrated with governance and regulation. Research on cyber insurance highlight a significant gap in the literature, reflecting structural barriers remaining policy-oriented, and empirical evidence is limited. The current evidence suggests that cybersecurity research in financial institutions has developed in parallel streams rather than within a coherent analytical framework. This paper contributes an integrative, finance-specific mapping of cybersecurity research and identifies persistent fragmentation and innovation gaps with implications for governance and policy practitioners.