Several authors indicated the existence of different relative importance of each web site quality factor across e-business domains and between stakeholders. They also found the correlation between web site quality and e-business performance . The website with the highest quality produced the highest business performance. Therefore there is a need to constantly monitor users’ behavior and their requirements in different e-business sector towards better web site design. The aim of this research is to explore possibilities of classification data mining tools to support and automate process of discovering users` perception of web site design quality factors. In order to do that we collected 81 cases that serve as an input for inductive reasoning. We applied modified ID3 algorithm and induced the most informative attributes and rules describing users` perception of web design quality for online travel agency. The findings can provide the management and web designers with useful insights to enhance and refine their business performance.

The mobile business intelligence system (MBI) provides users with necessary information and content, regardless of their location and time, in order to gain business insights through information analysis using applications optimized for mobile devices. Although in recent years the business intelligence and analytics has gained an increasing amount of interest among researchers and practitioners, there is a little available academic literature available related on MBI's specific topic. We suppose that the importance and benefits of using mobile business intelligence systems are not recognized in small and medium enterprises (SME) in Croatia and the main obstacle for their adoption is the lack of funds and knowledge of the executives and users. The aim of this research is to explore the level of mobile business intelligence systems adoption in SME in Croatia, compare the obtained results with those founded in existing literature and to explore the ways that the executives perceive the specificities of MBI.

The number and size of different kinds of electronic files (text, pictures and videos) incorporated into eLearning environments were dramatically increased during the last ten years and this triggered a development of new web based systems for that specific environment. These systems were developed to satisfy current and specific users' needs which lead to appearance of very heterogeneous environments without interoperability of their services. eLearning system security management, privacy and access control are currently attracting very much attention due to the latest trends in education systems development and attempts to create an electronic file of a student in order to enable the mobility of studying. Access control should prevent unauthorized access to shared resources. Meeting such a requirement in eLearning systems is very complex since it is necessary to protect the content, services and personal data not only from the external users of a system, but also from the development and administrative internal users of a system. Solution for the above mentioned problems can be found in application of the "Hippocratic Databases - HDB concept". The idea is inspired by the basic principles of Hippocratic Oath to be applied on the databases in order to provide data privacy and confidentiality to be one of the most important elements in information system design. Implementation and advantages of this concept have been researched for the needs of business intelligence systems and health information systems, but not of eLearning systems.This paper considers possibilities for development and implementation of HDB in eLearning systems and its sections (LMS- Learning Management System and CMS-Content Management System) by applying W3C (The World Wide Web Consortium) requirements and standards. HDB model structure and specific features for the needs of a specific eLearning environment are presented in the paper.

Purpose: The paper's aim is to describe the problems encountered when a performance management system such as the balanced scorecard (BSC) is implemented in the culture of a developing country.Design/methodology/approach: The article is based on a case study of a government agency in Croatia that initially wanted to purchase information technology software but discovered that it did not have a performance measurement system on which to base the software.Findings: National and organizational cultures influence the degree of difficulty of implementing performance measurement systems such as the BSC. Exactly which cultural aspects and the degree that they create difficulty have only recently been studied in academic literature. The paper identifies several factors in common with previous studies, but also finds that some factors identified in other studies did not play a significant role in Croatia, while problems occurred in Croatia that have not been mentioned in previous research.Practical implications: The authors emphasize the importance of adjusting performance measurement systems to the specific cultures in developing countries as well as modifying performance indicators to include the impact of information technology on performance indicators.Originality/value: The paper emphasizes the importance of adjusting performance measurement systems to the specific cultures in developing countries as well as modifying performance indicators to include the impact of information technology.

Navigation through AI transformative initiatives is challenging for small and medium enterprises (SMEs) in the Mobility–Transport–Automotive (MTA) ecosystem. To move to a higher AI maturity level, they should work on the improvement of indicators in several dimensions. The main role in these processes is assigned to the SME’s manager, but contemporary research is the least concerned with their support. This paper aims to shed light on supporting the strategic decisions that facilitate SMEs’ implementation of AI services (AIaaS). Applying the principles of design thinking to the design of AI services, the author describes the role of SME managers in AI transformation processes as a base for future AIaaS design.