Psychosocial Risk Factors for Low Back Pain and Absenteeism among Slovenian Professional Drivers.

OBJECTIVE: The aim of this study was to determine the most common psychosocial risk factors for absenteeism and the extent to which low back pain occurs among Slovenian professional drivers as result of various psychosocial risk factors. METHOD: The study involved 275 professional drivers, mostly men (mean age 41.6 years). Statistical data analysis was conducted using SPSS package version 21, MS Excel version 2007 and Pajek, version 3. The main method for data processing was regression analysis. RESULTS: The results of the quantitative survey showed that lower back pain is mostly caused by lifting and carrying heavy loads, inadequate working conditions, poor physical fitness, regular nights out, shift work, and stress. Dissatisfaction with work, shift work and unsuitable working conditions significantly affect the incidence of low back pain. Absenteeism is influenced by factors such as dissatisfaction at work, disrespectful attitude of managers, unsuitable working conditions, personal dissatisfaction, lack of understanding of the partner, and enjoying nightlife on a regular basis. CONCLUSIONS: The study clarifies the unexplained holistic psychosocial risk factors and treatment effects on health in the population of professional drivers. Such factors can lead to absenteeism. The study also provides initial demonstration research in the Slovenian practice. Furthermore, it provides solutions in a holistic approach to solve the problem of risk factors management.

Lower back pain and absenteeism among professional public transport drivers.

Drivers in public transport are subjected to lower back pain. The reason for the pain is associated with the characteristics of the physical position imposed on the worker while performing the job. Lower back pain is the main cause of absenteeism among drivers. The present study includes 145 public transport drivers employed as professional drivers for an average of 14.14 years. Analysis of the data obtained in the study includes the basic descriptive statistics, χ(2) test and multiple regression analysis. Analysis of the incidence of lower back pain showed that the majority of our sample population suffered from pain in the lower back. We found that there are no statistically significant differences between the groups formed by the length of service as a professional driver and incidence of lower back pain; we were also interested in whether or not the risk factors of lower back pain affects the absenteeism of city bus drivers. Analysis of the data has shown that the risk factors of pain in the lower part of the spine do affect the absenteeism of city bus drivers.

The Role and Meaning of the Digital Transformation As a Disruptive Innovation on Small and Medium Manufacturing Enterprises.

The research reported in this paper explores the impact of digital transformation as a disruptive innovation on manufacturing SMEs. The research is based on a qualitative Delphi study encompassing 49 experts from eleven EU countries. The paper aims to demonstrate how disruptive innovations affect organizational changes and determine critical factors in organizations that impact the initiating and promoting R&D of disruptive innovation. We discovered that disruptive innovations impact product/process development methods, new production concepts, new materials for products, and new organization plans. Additionally, we identified organizational changes related to the development and use of disruptive innovations in the future. We also indicate how disruptive innovations influence social and technological changes in the organizational environment. The analysis also disclosed three main groups of disruptive innovations and their impact on future smart factory development, namely the following: technological changes, the emergence of innovative products, business models and solutions and organizational culture as one of the crucial key success factors. The analysis also examined the enablers of the successful development/introduction of disruptive innovations, wherein internal and external factors were determined. Additionally, we presented obstacles and the approaches necessary to mitigate them. We can conclude from the findings that in the timeframe of 5-10 years, only the SME that uses/develops disruptive innovations will survive in the market. However, the companies do not always have a clear idea of the meaning of disruptive innovations. Therefore, it is important to set clear goals regarding the achievement of disruptive innovations in companies. It is also necessary to creatively apply presented instruments enabling improvement of organizational changes and apply some additional concepts, which we have suggested.