Verification of Information Systems’ Weak Points


  • Veronika Novotná


Efficiency, information systems, key factors, satisfaction of ICT users


Purpose: The article deals with weak points of information systems examined on the sample of approximately 1000 users within the research into key factors of information systems’ inefficiency. Scientific aim: The aim is to verify hypotheses concerning the key factors of information systems’ inefficiency on the examined respondents. Methodology/methods: In order to obtain empirical data a survey was carried out on randomly chosen sample of users from the Czech Republic and abroad, divided primarily into four basic groups – Primary Processes Managers, Secondary Processes Managers, Primary Processes Executive Officers and Supporting Processes Executive Officers, who all use information systems at work. The survey was carried out by means of a web questionnaire made accessible to the accosted respondents with verification of response correctness (elimination of random responses). Findings: The research looked into main sources of users’ dissatisfaction with information systems, testing hypotheses about diverse structures of areas that users are dissatisfied with according to countries, company size and the type of information system used (tailor-made, ready-made). The findings of the survey show that the dissatisfaction of information systems’ users varies according to company size, i.e. it is influenced by the size of an information system. In the smallest companies, it is the technology, support and software that users are most dissatisfied with, in small companies it is software, and in middle-sized companies it is the speed of systems’ reponses, support and userfriendliness. Conclusions: The main limiting factor is a relatively small group of users. On the other hand, after examining respondents’ answers separately for the Czech and foreing users, there seems to be agreement in the response structure on the level of significance (chi-square test). Hence, the findings can be generalized.