The global employment landscape will continue to change due to new technologies, in particular automation, online collaboration tools, and artificial intelligence. The shortage of skilled workers and the growing jobs of e-tourism employees are a challenge for maintaining day-to-day operations. It is crucial to develop a digital recruitment strategy and communicate a good employer brand, supported by targeted digital advertising. This study aims to identify the impact of social networks on the effectiveness of digital human resources recruitment strategies in tourism. On the basis of a sample of 620 respondents who had experience of the digital recruitment of human resources in the tourism sector, the collected data was analyzed using structural equation modeling. The results underline the high relevance of building these strategies, as professional communication in social networks is the key to successful work in sustainable human resources practices.

Lately, the logistics sector has seen accelerated development, which has led to general economic growth, but, at the same time, it has caused considerable environmental damage due to the excessive consumption and emissions that are currently affecting society at large. Since logistics activities are considered some of the most polluting economic activities, this present article aims to present the advantages of implementing the green logistics concept. To this purpose, the activity of a logistics centre in Romania was analysed, with a focus on the greenhouse gases (GHGs) produced as a consequence of this economic activity, and its carbon footprint was calculated according to the GHG Protocol. Although this global standard is based on an integrated approach to how GHG emissions are calculated, there is limited evidence about its degree of implementation by companies. The results of the analysis revealed that the consumption of energy and fuel by the logistics sector has a significant impact on the environment. This impact is maintained, albeit at a smaller scale, even if the technology is replaced and the equipment used by companies to carry out their activities is increasingly performant.

This paper presents a compelling argument for optimizing the logistics flow of wiring harnesses within the automotive industry to address the rising production demands of vehicle manufacturers. It introduces an innovative assembly line structure specifically designed to boost efficiency and enhance responsiveness to client needs. Drawing from data gathered from an actual assembly line dedicated to producing engine harnesses for K9K engines, this study offers a practical and impactful foundation for its proposed optimization strategies. The new assembly structure effectively merges the benefits of a dynamic line—which emphasizes efficient space utilization and flexibility—with the strengths of a rotary line, particularly in light of the increasing complexity associated with harness production. The paper features a mathematical model that calculates cycle times for workstations within this new system architecture, optimizing the entire production process. Moreover, it illustrates how advanced modeling, simulation, and optimization techniques using WITNESS Horizon Version Release 25.0 can identify necessary adjustments for achieving optimal assembly line balance. Additionally, this research addresses pressing environmental concerns by proposing a robust recycling strategy for the scrap produced during wiring harness manufacturing. By advocating for sustainable practices and responsible waste management, the study highlights the importance of minimizing the ecological footprint of the automotive manufacturing process. In summary, this research provides essential insights and practical solutions for optimizing wiring harness logistics flow in the automotive industry. By implementing these strategies, manufacturers can significantly enhance their production capacity, improve operational efficiency, and maintain competitiveness in an ever-evolving market landscape.

Industrial development has implicitly led to the development of new systems that increase the ability to provide services and products in real time. Autonomous mobile robots are considered some of the most important tools that can help both industry and society. These robots offer a certain autonomy that makes them indispensable in industrial activities. However, some elements of these robots are not yet very well outlined, such as their construction, their lifetime and energy consumption, and the environmental impact of their activity. Within the context of European regulations (here, we focus on the Green Deal and the growth in greenhouse gas emissions), any industrial activity must be analyzed and optimized so that it is efficient and does not significantly impact the environment. The added value of this paper is its examination of the activities carried out by mobile robots and the impact of their electronic components on the environment. The proposed analysis employs, as a central point, an analysis of mobile robots from the point of view of their electronic components and the impact of their activity on the environment in terms of energy consumption, as evaluated by calculating the emission of greenhouse gases (GHGs). The way in which the activity of a robot impacts the environment was established throughout the economic flow, as well as by providing possible methods of reducing this impact by optimizing the robot’s activity. The environmental impact of a mobile robot, in regard to its electronic components, will also be analyzed when the period of operation is completed.

Today, more than ever, the increasing levels of recycled textile waste ratios in Turkey make a significant contribution to the development of a sustainable future at global level. This research paper aims to present the attitudes, motives and experiences of the Turkish purchase intention related to textile products coming from the recycling of unused, old or faulty textile products. A quantitative marketing research was carried out on a sample of over 650 participants on the data provided by the questionnaire which focuses on studying the consumer behaviour of textile products coming from the recycling of unused, old or faulty textile products, influenced by endogenous (psychological) and exogenous (sociological) variables. A series of general hypotheses and statistical assumptions were made, the results of which were presented through testing using a series of econometric formulas. The results show important aspects regarding the purchase intention of the textile products coming from the recycling of unused, old or faulty textile products and they also describe the evolution of the market shares of green textile products, based on the perceptions of the Turkish population.