The smart and resilient transformation of manufacturing firms has flourished in the last decade. This paper investigates the smart and resilient transformation of manufacturing firms with the application of digital services. It uses a Serbian data set of 136 manufacturing firms from the Digital Servitization Survey from 2022 coordinated by IFIP WG5.7. The authors applied a different method approach through social network analysis, correlation analysis, and interviews with representatives from the manufacturing firms. The main results show that manufacturing firms that apply an adequate combination of services and digital technologies have the highest impact on the network of manufacturing firms. Moreover, the results show that applying digital technologies, such as additive manufacturing/3D printing, big data analytics, and digital twin, increases the gross annual turnover of manufacturing firms in the COVID-19 era. Finally, the results show that for a successful smart and resilient transformation, manufacturing firms need to develop a strategy and motivation oriented to profit to be resilient enough to withstand market change.

The research provides insight into the factors that determine absenteeism in different types of organizations, in order to facilitate the adjustment of employees and organizations in the transition process from Industry 4.0 to Industry 5.0. The aim of the study is to predict the absenteeism of employees in the context of job characteristics and mental health. Additionally, the research investigated the effect of size, ownership, and sector of the companies on absenteeism, job characteristics, and mental health. The sample included responses from 502 employees of different sociodemographic characteristics that work in various types of organizations, performing white-collar and blue-collar jobs. A short mental health questionnaire—Mental Health Inventory, MHI-5—was used in order to measure mental health. The Job Characteristics Questionnaire was used to measure the employees’ perceptions of their job characteristics—job variety, autonomy, feedback, dealing with others, task identity, and friendship. The absenteeism is operationalized with the question: “During the past 12 months, how many days were you absent from work for any reason?”. The findings suggest that mental health and job characteristics significantly reduce absenteeism among different sectors. The result showed that the size, ownership, and sector of the organization significantly affect the absenteeism, job characteristics, and the mental health of the employees. The results support the premises of Industry 5.0 and offer a new human-centric approach to absenteeism through the promotion of mental health through long-term organizational strategies and a more inclusive approach to employees’ preferences in relation to job characteristics. The study offers a new, double-sided model of absenteeism, determining causal factors from the perspective of personal and organizational factors.

Objectives: The paper analyses the impact of socio-demographic characteristics of the employees in conditions of uncertainty in the organizations. Material and Methods:The study was conducted on a sample of 210 employees using the Mental Health , Satisfaction with life scale (SWLS), and the Center for Epidemiological Studies -Depression (CES-D). Results: The results showed that female respondents had significantly higher scores on ANX (t = 2,278, p < 0.05), while male employees had higher scores on life satisfaction (t = 2.103, p < 0.05). Older employees have a higher tendency for loss of emotional-behavioral control (F = 4.427, p < 0.05). Respondents who have satisfying living standards have also higher scores on SWLS (t = 2.257, p < 0.05). Respondents who have dissatisfying living standard have higher scores on generally positive affect (t = 3.152, p < 0.01), life satisfaction (t = 3.571, p < 0.01), psychological distress (t = 2.929, p < 0.01) and loss of emo tional-behavioral control (t = 2.361, p < 0.05). Employees with different levels of educational background have similar tendencies in life satisfaction, mental health, and depressive symptoms (p > 0.05). Conclusions: The study showed that the specific socio-demographic profile of the employees is related to higher levels of mental health issues. Specifically, the mental health of female and older employees have been especially affected and disturbed by uncertain conditions. The results can be potentially used both in the terms of designing activities that support the mental health of the population, as well as in relation to the mental health of employees.

Digital technologies change the way how manufacturing firms create offers for customers. These new technologies transform traditional Product-Service Systems into Digital Product-Service Systems. This paper investigates the use of digital technologies for the creation of new products and smart services in manufacturing firms. Additionally, this paper investigates the service orientation in Product-Service Systems. The data for this research were collected at the end of 2021 through the ASAP Service Management Forum in the manufacturing sector of the Republic of Serbia. The empirical results indicate that more than 60% of manufacturing firms use digital technologies for the creation of new products and less than 50% for the creation of new smart services. Moreover, results indicated that most services are product-oriented with 25% of share in a sample, followed by results-oriented services with 20% of share in a sample and use-oriented services with 11% of share in the total sample.

U ovom radu, glavni cilj  istraživanja je bio utvrditi trenutni nivo zrelosti projektno orijenti­sanih preduzeća, kao i utvrditi homogenost percepcije nivoa zrelosti kod zaposlenih i rukovodilaca u projektno orijentisanim preduzećima. Specifičniji cilj istraživanja odnosi se na provjeru metrijskih karakteristika upitnika o nivou zrelosti projektno orijentisanih preduzeća NZPOP2020.