The paper aims at analysing Business Intelligence Systems (BI) in the context of opportunities for improving decision-making in a contemporary organisation. The authors – taking specifics of a decision-making process together with heterogeneity and dispersion of information sources into consideration – present Business Intelligence Systems as some holistic infrastructure of decisionmaking. It h...

Building a successful e-business requires such enterprise capabilities as global networking, integrated business processes, sharing information with supplychain partners, agility in responding to the market, and intelligent decisionmaking. At the same time enterprise systems have extended beyond the traditional business functions and include features to support supply-chain management, customer...

nowadays, project selection is a vital decision in many organizations. because competition among research projects in order to gain more budgets and to attain new scientific domain has increased. due to multiple objectives and budgeting restrictions for academic research projects have led to the use of expert system for decision making by academic and research centers. the existing methods suff...

policy making in health is largely thought to be driven by three ‘i's namely ideas, interests and institutions. recent years have seen a shift in approach with increasing reliance being placed on role of evidence for policy making. the present arti­cle ascertains the role of ideas and ideologies in shaping evidence which is used to aid in policy decisions. the article dis­cusses different theor...

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...

In this contribution connections between input fuzzy relations R1, . . . ,Rn on a set X and the output fuzzy relationRF = F(R1, . . . ,Rn) are studied. F is a function of the form F : [0, 1]n → [0, 1] and RF is called an aggregated fuzzyrelation. In the literature the problem of preservation, by a function F, diverse types of properties of fuzzy relationsR1, . . . ,Rn is examined. Here, it is c...

Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...

The development of online shopping services is stimulated by both retailers and consumers, and understanding the decision-making behaviours of consumers becomes one of the crucial issues for retailers. Decision-making process, which refers to brand choice and price sensitivity, is unique in online purchase. Several motivation factors, such as situational factors, characteristics of products as ...

Purpose – to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach – literature study and a case study in dairy industry, based on in-depth expert interviews. Findings – four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications – the proposed multiple CODP models provide th...

A taxonomy of performance measurement systems (PMS) is developed based on three dimensions, namely the design (mix of financial, customer, internal processes, innovation and learning measures), the use (monitoring, strategic decision making, attention focusing, legitimization), and the updating process. Three groups of PMS emerge: (i) outcomes surveillance mechanism, (ii) management support too...