Abstract
The emergence of the COVID-19 pandemic required swift adaptations within public spaces, particularly in view of the uncertainties enveloping the transmission dynamics of the virus. Among the prominently contacted surfaces, door handles have garnered significant attention in research efforts aiming to curtail transmission risks. A notable proposition emerged to obviate the necessity of direct physical contact with handles, thereby introducing a novel approach. Thus, the manufacturing modality of three-dimensional (3D) printing was naturally embraced, primarily attributable to its expeditious prototyping capabilities. Although the extant literature and the open-source community have proffered diverse panaceas, this inquiry embarked on rectifying certain inadequacies that had afflicted antecedent methodologies. Elaborate exposition is provided pertaining to the progression of the developmental trajectory and the concomitant design refinements. In a bid to substantiate the efficaciousness of the produced solution, the finite element analysis (FEA) was judiciously employed to assess two distinct loading scenarios: during the installation phase and the subsequent operation of the contrivance. The empirical findings manifest the commendable load tolerance, with the proposed solution being capable of withstand forces exceeding 15 N. Furthermore, even under the most adverse circumstances, the device evinced a maximal displacement of 15 mm. Collectively, the corollaries borne out of this scholarly investigation corroborate the efficacy, utilitarian functionality, and ergonomic viabilities of the proposed solutions and manufacturing process. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

Abstract
Robotic Process Automation (RPA) is a rules-based system for automating business processes by software bots that mimic human interactions to relieve employees from tedious work. It was verified in the literature that there are few works related to RPA decision support models. This technology is in great growth and, therefore, it becomes important to study the evaluation of the implementation of RPA. The objective of this work is focused on a literature review for the identification and analysis of Robotic Process Automation implementation models. This work analyses some models or studies available in the literature and, in addition, analyses it from a perspective relating to the Triple Bottom Line (TBL) related to environmental, social and economic effects. Regarding the results obtained, it appears that there is still a lot of room to improve research in this field, for example, with regard to the development of an evaluation model for the implementation of the RPA, taking into account the TBL of the sustainability concept.

Abstract
This paper explores the problem of sectorization of a parcel delivery service that wants to assign an action region to each of its teams, regarding the number of deliveries scheduled for each zone, so that there is a balanced service amongst sectors, covering contiguous zones, and considering limited capacities for the teams. Besides being relatively easy to model, the available optimization tools and software provide poor results when dimension increases in these types of problems, with computational capacity exceeding. In this paper an integer programming model, combined with an heuristic to return a faster solution, was implemented to solve a sectorization problem in two different situations. The main advantage of the strategy proposed, compared to previous ones, is its simplicity and easy implementation while still returning an optimal solution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
This paper discusses the problem of information sharing and data interoperability in a B2B context. Therefore, this paper presents a case study on the scope of data-sharing in collaborative networks in an industrial cluster. It explores the feasibility of International Data Spaces in the context of the footwear industry cluster. This work also discusses how the adoption of digital processes might contribute to support data-based management to optimize the production planning of a footwear industry. As a result, it is defined and specified the foundations for the development and implementation of an dataspace oriented IIoT architecture, following a fully compliant Industry 4.0 solution for the footwear industry cluster. This paper discusses the problem of information sharing and data interoperability in a B2B context. Therefore, this paper presents a case study on the scope of data-sharing in collaborative networks in an industrial cluster. It explores the feasibility of International Data Spaces in the context of the footwear industry cluster. This work also discusses how the adoption of digital processes might contribute to support data-based management to optimize the production planning of a footwear industry. As a result, it is defined and specified the foundations for the development and implementation of an dataspace oriented IIoT architecture, following a fully compliant Industry 4.0 solution for the footwear industry cluster.

Abstract

Abstract
In the chapter, we can find the recommendation for entrepreneurs. The authors are trying to answer the question: How should employers treat Generation Z employees? A complex analysis of the research carried out by the authors as well as other examples from Europe and other continents have been pointed out. A recommendation for enterprises has been included. © 2023 selection and editorial matter, Joanna Niezurawska, Radoslaw Antoni Kycia and Agnieszka Niemczynowicz; individual chapters, the contributors.