Pawel Tadeusz Kazibudzki, Jiří Křupka
Presumably complex systems can be better understood when they are broken down into their constituent elements and structured hierarchically. Then, judgments about these elements can be synthesized on the basis
of their relative importance at each level of the hierarchy into a set of overall priorities. By breaking down a reality into homogenous clusters and subdividing them into smaller ones, it is possible to integrate large amounts of information into the structure of a problém and form a more comprehensive picture of the whole system. There is a decision support methodology (DSM) which conforms to the above prescription. It is called the Analytic Hierarchy Process (AHP) and was devised at the Wharton School of Business by Thomas Saaty (1980). Its contemporary applications can be found, for example in Lidinska and Jablonsky (2018), Abdelmaguid and Elrashidy (2016), Kramulová and Jablonský (2016), and Ponis et al. (2015).
Globalization increases the complexity of supply chain and companies are faced with competitive pressure and environmental uncertainties as well as increasing customer demand (Thomas & Esper, 2010). To satisfy the fluctuating customer demand and to make various players in a supply chain align with customer requirement, collaboration between the players based on the timely communication is required. Moreover, sharing important
information such as customer demand and on-hand inventory level with other players is required to coordinate the players’ activities. With respect to the inventory management, various collaborative policies such as QR (Quick Response), ECR (Efficient Customer Response), VMI (Vendor Managed Inventory) and CPFR (Collaborative Planning, Forecasting and Replenishment) have been developed so as to overcome the limitation of standalone inventory management policies. These collaborative inventory management policies are based on the sharing of customer demand information between players in the supply chain.
Joanna Ejdys, Romualdas Ginevicius, Zoltan Rozsa, Katarina Janoskova
One of the factors determining the current and future social and economic advance is the level of society’s digitisation, which is applicable to each sphere of human life (Ejdys & Halicka, 2018; Polak-Sopinska & Wisniewski, 2009). This level is measured by the scale and scope of the phenomenon, i.e. subjective, geographical dynamics of change and the scale of effects caused (Chodakowska & Nazarko, 2017). Digitalisation processes gave rise to a new type of society referred to as the information society. E-government is one of the areas of ICT application in the information society. The term e-government, i.e. electronic public administration, refers to a systém (organisational and legal, institutional, and IT) which enables to deal with administrative matters by electronic means. According to the definition proposed by the European Commission, e-government is the use of ICT tools and systems to provide better public services to citizens and businesses (Digital Single Market: Glossary).
Laslo Seres, Pere Tumbas, Predrag Matkovic, Marton Sakal
Enterprise Resource Planning (ERP) systems are enterprise-wide information systems that integrate and control the complete range of processes and functions, in order to provide a holistic view of the business from a single information and information technology (IT) architecture (Klaus, Rosemann, & Gable, 2000), enabling organizations to manage efficient and effective use of their resources by using a complete, integrated, packaged software solution and a common central database for the organization’s information-processing needs (Al-Fawaz, Eldabi, & Naseer, 2010). By adopting an ERP system, organizations are looking for a better use of their own resources in order to raise their own efficiency, which can be jeopardized by high costs associated with ERP implementation, staff training, as well as maintaining and aligning the system with the needs of the organization (Jáčová, Brabec, & Horák, 2013).
Jolanta Sabaitytė, Vida Davidavičienė, Jarmila Straková, Jurgita Raudeliūnienė
The rapid development of information communication technologies (ICT) has expanded the possibilities for marketing communication. In order to increase business competitiveness and carry out effective marketing activities, it has therefore become important to acquire knowledge about e-consumers and to identify significant elements that shape their virtual behaviour and influence their decision to buy. An analysis of scientific literature revealed that there is a gap in knowledge with regards to the e-consumer behaviour of different generations, as customer segments, and their preferences in the purchase phase. The purchase phase is characterised by different internet marketing communication elements, which influence the performance of browsing and searching tasks. The goal of the research presented in this article was to determine the most significant internet marketing communication elements during the purchase phase of the e-consumer journey by performing a browsing task and using the mathematical decision tree approach.