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The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts.

The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption.

The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels.

This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies.

The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.

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?

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.

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.

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.

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.

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.

This paper aims to explore the drivers of banking stability in the case of QISMUT+3 countries (Qatar, Indonesia, Saudi Arabia, Malaysia, United Arab Emirates, Turkey, Pakistan, Kuwait and Bahrain) focusing on social and governmental responsibility (SGR) determinants. Both main indicators of banking stability, namely, profitability and nonperforming loans, were treated as dependent variables. The model is examined with the whole sample and separately by examining commercial banks and Islamic banks.

Cross-country bank-level panel data spanning from 2011 to 2018 is used. Two-step system generalized methods of moments alongside both panel-corrected standard error and feasible generalized least squares models were applied to ensure the robustness of the results.

Findings reveal that capital adequacy and corruption control are the most dominant determinants of banking profitability in the studied sample regardless of the type of the bank. In addition, profitability, efficient management, inflation and government effectiveness were found to be the main drivers of financial vulnerability risk.

Findings of this study offer many insights and policy implications to help stakeholders gain a comprehensive understanding of banking stability. Suggested policy implications targeting bank management, governmental policymakers and investors are offered to better the banking stability of QISMUT+3 countries.

This paper has multiple contributions to the existing literature. The determinants of banking stability are examined in QISMUT+3 group of countries which is the focus of a limited number of studies. In addition, the use of a comprehensive variable set alongside the addition of SGR determinants in the case of banking system stability is one of the main contributions of this paper.