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Copyright of Challenges of the Future / Izzivi Prihodnosti is the property of Fakulteta za Organizacijske Studije v Novem mestu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background and Originality: The subject of the research is the definition and analysis of the organization's process in a health organization, as well as the perception of employees in terms of the performance of the organization. The research aims to determine the manner of organizing, ie the phase in the process of designing the organizational structure in the health organization, as well as to assess the level of perception of organizational performance of employees in that organization. Method: The subject research was conducted through a standardized questionnaire (Griffithsetall, 2006), which contains 8 questions related to the primary demographic data of employees and 30 questions related to the subject of the research. Results: Proving special hypotheses in the research leads to the conclusion that clearly defined roles and responsibilities, the existence of an appropriate pace of work, a deep understanding of the wishes and needs of patients by employees, and employee motivation to work affect the success of a health organization, that is, the manner of organizing affects its business success, while the work environment is not one of the factors that affect the success of a health organization. Society: Considering the impact on society, through the defined measures proposed above, this research paper proposes a way to preserve the functioning of a health organization, meet the wishes and needs of patients and preserve one of the basic human needs, and that is the right to adequate treatment. Limitations / further research: The proposal for future research is reflected in increasing the sample of examinees and repeating research in health organizations across the country.

Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business system has to be conceived and proportioned so as to justify the main company jobs and goals. Almost every job set for the management must be performed properly and reliably in changeable environmental conditions. In order to maintain the efficiency of complex business systems with dynamic and stochastic changeable and unchangeable variables, it is essential that the organizational structure be flexible and constantly adjusted. Idea: The idea of the paper was to develop a model for human resource allocation (HRA) in fuzzy environment. Data: The model is tested in realistic industrial environment - the example of the logistics administrative bodies in the Petroleum Industry of Serbia. Tools: To solve the problem, the following approaches are used: Fuzzy logic, Neural network and Simulated annealing. The model for HRA is based on an adaptive neuro-fuzzy inference system (ANFIS) and fuzzy mathematical model (FMM) for treating uncertainty. ANFIS-FMM model enables the human resource strategy development based on the optimisation of the employees’ work time. In this ANFIS-FMM model the input variables are described using fuzzy sets represented by Gaussian functions. Using expert reasoning, an unique knowledge base is formed which enables the human resource strategy development based on the optimisation of the employees’ work time. Findings: Based on authors’ knowledge there is a lack of the fuzzy logic applications, adaptive neuro-fuzzy models, linear and dynamic programming, as well as heuristic and metaheuristic models related to HRA. In most of the papers, the classical methods of strategic management have been used for HRA. Contribution: In this paper the model for HRA is developed based on adaptive neuro-fuzzy technique application and FMM. The model has four main advantages over other HRA methods: the system possesses adaptability, the model is efficient in conditions of uncertainty, the neuro-fuzzy based HRA model allows dynamic decision making in HRA management through the implementation of a computer-based system, it can be IT-supported tool.

Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business system has to be conceived and proportioned so as to justify the main company jobs and goals. Almost every job set for the management must be performed properly and reliably in changeable environmental conditions. In order to maintain the efficiency of complex business systems with dynamic and stochastic changeable and unchangeable variables, it is essential that the organizational structure be flexible and constantly adjusted. Idea: The idea of the paper was to develop a model for human resource allocation (HRA) in fuzzy environment. Data: The model is tested in realistic industrial environment - the example of the logistics administrative bodies in the Petroleum Industry of Serbia. Tools: To solve the problem, the following approaches are used: Fuzzy logic, Neural network and Simulated annealing. The model for HRA is based on an adaptive neuro-fuzzy inference system (ANFIS) and fuzzy mathematical model (FMM) for treating uncertainty. ANFIS-FMM model enables the human resource strategy development based on the optimisation of the employees' work time. In this ANFIS-FMM model the input variables are described using fuzzy sets represented by Gaussian functions. Using expert reasoning, an unique knowledge base is formed which enables the human resource strategy development based on the optimisation of the employees' work time. Findings: Based on authors' knowledge there is a lack of the fuzzy logic applications, adaptive neuro-fuzzy models, linear and dynamic programming, as well as heuristic and metaheuristic models related to HRA. In most of the papers, the classical methods of strategic management have been used for HRA. Contribution: In this paper the model for HRA is developed based on adaptive neuro-fuzzy technique application and FMM. The model has four main advantages over other HRA methods: the system possesses adaptability, the model is efficient in conditions of uncertainty, the neuro-fuzzy based HRA model allows dynamic decision making in HRA management through the implementation of a computer-based system, it can be IT-supported tool. [ABSTRACT FROM AUTHOR]

Based on computational organization theory, multi agent system and discrete event simulation are integrated to study the collaboration among organization members. The influences of different collaboration patterns on organizational efficiency are analyzed; the effection of communication mechanism and incentive mechanism under these collaborative patterns are discussed. Some meaningful conclusions about the design of organization structure are made. [ABSTRACT FROM AUTHOR]