Purpose: The purpose of this paper is to point out the importance of technology trust and relationships between technology trust and trust antecedents. The paper aims to seek answers to the following questions: what determines technology trust (technology trust antecedents) and how to measure it in the case of the University Student Service System (USSS) technology? Design/methodology/approach: In this study, the survey method was used to collect data. The online survey engaged 413 students representing one Polish technical university. The USSS was the technology of interest. The USSS web is an IT system for managing the course of higher education. The USSS web evolved into a multipurpose platform, which is used by university students for many different purposes. Findings: Positive verification of three accepted hypotheses H1, H3 and H5 shows that the ease of use, general trust level of respondents and institutional trust have a statistically significant influence on USSS technology trust. The diversification of regression coefficients indicates that the ease of use determines USSS technology trust more than general trust and institutional trust. Research limitations/implications: An important limitation of the conducted study was the reduction of the sample group of students representing one university – the Bialystok University of Technology. The relationships between variables, however, have made it possible to explain the reasons for the existing dependencies from the perspective of a single university, which constitutes an important cognitive value in the context of motivating and disseminating information and communication technology solutions. A good adjustment of the developed theoretical model indicates that it can be used to a wider degree. Practical implications: From the practical point of view, achieved results showed that there are many factors that can be influenced by managers within an organisation to build up technology trust relations. Institutional trust is one example of such factors. Also, considering that building trust is a process, managers should take into account that different factors can affect technology trust in different stages of this process. At the beginning phase, the ease of use of a particular technology seems to be most important for its users, and then the usefulness of the technology becomes the factor which determines the technology trust. Despite the fact that the conducted research did not show statistically significant relations between technology trust and the intention of future system use, results explained main factors affecting such situations. Also, the frequency of system use seemed to be the most important variable that determines the intention of future system use. Originality/value: The scientific value of the study is an attempt to build a measurement scales relating to trust in technology and constructs determining that trust. According to a very popular technology acceptance model, which explains the behaviour of technology users, the author expanded the acceptance model and finally proposed the model consisting of five input variables (the ease of use, usefulness, institutional trust, general trust, trust in technology and science) and one output variable – the intention to use the system in the future. The novelty of the research results from the fact that it was the first research conducted in Poland on the topic of technology trust topic.

The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several dimensions of the Industry 4.0 field have been considered, such as the design of new products, workforce and skill optimisation, enhancing quality control, predictive maintenance, demand forecasting, and marketing strategy. The paper adopts qualitative research based on a critical review approach. It provides evidence of the GAI technology support in the mentioned areas. Appropriate use of emerging technology allows managers to transform manufacturing by optimising processes, improving product design, enhancing quality control, and contributing to overall efficiency and innovation in the industry. Simultaneously, GAI technologies facilitate predictive analytics to forecast and anticipate future demand, quality issues, and potential risks, improve a marketing strategy and identify market trends.

Service quality perceived by clients should be a crucial element in the process of co-creating sustainable services. This article aimed to examine relationships between five constructs: the usefulness of courier services, the ease of use of courier services, the trust in courier services, the service quality, and the future intention to use courier services. This research focuses on courier services. An electronic questionnaire was used to conduct confidential interviews. It was distributed between January and March 2019. The number of questionnaires returned by courier service customers amounted to 1073. The authors used generalized least squares (GLS) of structural equation modelling (GLS-SEM) to verify the hypotheses. The obtained results confirmed statistically significant relationships between the variables of the ease of use and the trust in service, the usefulness and the trust in service, the trust in service and the service quality and finally, the service quality and the future intention to use the services. The obtained results confirmed an important role of technological aspects in courier service quality, which will become the main determinant of the development of this sector in the future. The authors proposed a new approach to the definition of trust in service. Apart from the interpersonal trust, they shed more light on the trust in the supplier, i.e., the trust in the used technologies.

The multiple criteria decision-making (MCDM) utility-determining techniques are considered to be new development techniques that have been recently presented, extended and used by some scholars. In the current work, an attempt is made to present a systematic review of methodologies and applications of the MCDM utility-determining techniques discussed in recent years. The researchers reviewed 86 papers, describing the use of the MCDM utility-determining techniques, which were published in the period 2004–2015 in more than 42 scientific journals. They mainly refer to the area of management and are extracted from online databases, such as Web of Science, Scopus and Google Scholar. According to the classification used by the researchers, the papers were grouped based on the five main MCDM utility-determining techniques, including stepwise weight assessment ratio analysis (SWARA), the weighted aggregated sum product assessment (WASPAS), the additive ratio assessment (ARAS), the method of complex proportional assessment (COPRAS), multi-objective optimisation by ratio analysis (MOORA) and MULTIMOORA (MOORA plus a full multiplicative form). Furthermore, the papers were categorised taking into account their authors, publication date, journal name, the technique and method used, research objectives, research gap and problem, solution and modelling and, finally, the results and findings. The results of this study show that, in 2013, scholars published more papers on the MCDM utility-determining techniques than in other years. It is also worth noting that a group of COPRAS methods (COPRAS-Grey and COPRAS-Fuzzy) was ranked number one among the methods used in this area. With regard to journals, the Journal of Civil Engineering and Management was ranked first in the list of journals, which contributed to this review.

Ageing population poses new social, technological, and research challenges. It is anticipated that, by 2080, Poland will be in the group of counties that will have one-third of their population aged over 65. Different strategies aim at dealing with the mentioned demographic challenge, including widespread use of humanoids in the care of older people. As this research was the first of its kind in Poland, this article aims to identify the perceived key benefits that could shape positive attitudes toward humanoids in the care of older people. Based on the specific attributes of a humanoid technology, the model hypothesizes that an attitude toward a technology can be directly shaped by four kinds of perceived benefits, namely an impact on the quality of life, functional aspects, ethical problems, and a social impact. Also, a theoretical model assumes that a user attitude toward a humanoid technology is predicted to have an indirect influence on the future intended use. A survey method was used to collect research data. An electronic questionnaire was used to conduct confidential interviews of Polish citizens. All in all, 643 questionnaires were filled. Results received using structural equation modeling confirmed that the most important factor shaping human attitudes was a perceived social impact received from the use of humanoids in the care of the lonely people and making life more enjoyable for the elderly. Results also confirmed that men had a more positive attitude toward humanoids than women. Among different age groups of respondents, people between 26–40 years of age had the most relatively positive attitude toward humanoids.