Trust levels within categories of information and communication technology companies

Abstract

The arguable claims of levels of trust in politics and business situations motivated this study, which investigates the degree of trust within micro, small, and medium categories of Hungarian Information and Communication Technology (ICT) companies. Different sizes of companies have varying interactions between internal members and their business partners. This study concentrated on exploring Hungarian ICT companies due to their significant role in supporting Industry 4.0. The study population are active Hungarian ICT companies. This research implemented random cluster selection related to the location of ICT firms. It exploited 100 samples, including micro, small, and medium-sized companies, and implemented discriminant analysis to examine the description and hypotheses. First, this study found that the level of trust in institutions within micro, small, and medium-sized companies varies significantly. The level of trust in institutions proliferates within corporations due to the capability of the formal institution to provide fair public services. This research additionally underlined that the performance of the Hungarian government would improve trust amongst the companies. Second, this study concluded that the level of interpersonal trust within three categories of companies was similar. A high level of interpersonal trust would expand internal engagement among the members of companies. Finally, the level of trust in business partners varied significantly within the distinct sizes of Hungarian ICT companies. A high level of trust in corporate associates improves business collaboration, reduces uncertainty, and supports long-term business connections. Levels of institutional trust and interorganizational trust differed amongst different categories of companies. However, the level of interpersonal trust remained similar within companies of the various sizes. © 2021 Oláh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.