Burstiness in Quasi-Group Decision Making in Business Settings

2018 ◽  
pp. 97-131
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Business Process ◽  
Group Decision Making ◽  
Mirror Neurons ◽  
Group Decision ◽  
Research Question ◽  
The Novel ◽  
Key Concepts ◽  
New Research

Business advances its business process in order to adapt to a constantly changing situation in economy and society. Analysis of buyers' burstiness assists in optimization of flow of business process in order to increase the profit. However, burstiness in quasi-group decision making in business settings has not attracted a lot of research efforts. The aim of the chapter is to explore the nature, origins, and impact of burstiness in quasi-group decision making in business settings underpinning implementation of an empirical study and elaboration of a new research question for further studies. The meaning of such key concepts as burstiness, mirror neurons, quasi-group, and decision making is studied. Moreover, the study demonstrates how the key concepts are related to the idea of business settings. The novel contribution of this manuscript is the newly defined research question on burstiness in quasi-group decision making in business settings. Directions of further research are proposed.

THE SPECIAL FEATURES OF DECISION-MAKING IN ADVERTISING IN CONTINENTAL TOURISM

2003 ◽  
Vol 9 (1) ◽  
pp. 27-34
Author(s):  
Igor Brajdić
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Group Decision Making ◽  
Group Decision ◽  
Management Structure ◽  
Marketing Function ◽  
General Orientation ◽  
Food And Beverage ◽  
Predominant Orientation

One of the primary functions of a tourist enterprise is advertising, as a component of the broader marketing function. Each function has its specific traits which are manifested in the various processes of the enterprise, one of the more important being decision-making. It is assumed that in continental tourism, due to its predominant orientation in providing more food and beverage services and less hotel services, special features in decision-making can be found within the advertising function. The empirical study carried out in part of continental tourism involving the region of the Croatia Zagorje was aimed at a range of typical characteristics of decision-making such as types of decisions, the methods of decision-making, the outcome of alternatives, the monitoring of effects and the measures of improving decision-making. Regarding types of decisions, the majority of managers and executives feel that, to a very large extent, satisfactory decisions are being taken, as well as routine decisions, which are in accordance with the predominant orientation of providing the fundamental catering services. Due to a general orientation towards group decision-making, it follows that, when choosing advertising media, the management structure contacts the executive personnel only randomly. From the latter group of questions, it can be concluded that in the enterprises surveyed anything that has to do with science is applied to the least possible measure.

Development of a Simulation Model for Optimization of Business Process

2018 ◽  
pp. 26-42
Keyword(s):  
Simulation Model ◽  
Model Validation ◽  
Business Process ◽  
Research Question ◽  
Future Research ◽  
The Novel ◽  
Model Based ◽  
Model Validity ◽  
Proposed Model ◽  
New Research

Optimization of business process assists in efficient organization of business process. For the success of optimization of business process, a simulation model based on gap processes for the analysis of buyers' burstiness in business process has been proposed. However, the model has to be validated. The aim of the research is to implement a validation approach to the simulation model based on gap processes for the optimization of business process underpinning elaboration of a new research question on the model validity. The meaning of the key concepts of “validation,” “model validation,” and “model validation approach” is studied. The results of the present research show that the application of real system measurements validates the simulation model for the optimization of business process. The novel contribution of the manuscript is revealed in the newly created research question on the proposed model validity. Directions of future research are proposed.

Development of a Simulation Model for Optimization of Business Process

2018 ◽  
pp. 1-25
Keyword(s):  
Simulation Model ◽  
Business Process ◽  
Mathematical Analysis ◽  
Business Processes ◽  
Research Question ◽  
Simulation Models ◽  
Customer Behavior ◽  
The Novel ◽  
Realistic Simulation ◽  
Key Concepts

Earning profits in business promotes optimization of business processes. For the analysis of business processes, realistic simulation models are an important prerequisite. The research question is as follows: What is business process based on gap processes? The aim of the research is to carry out mathematical analysis of gap processes underpinning elaboration of a simulation model for optimization of a bursty business process. The meanings of such key concepts as “bursty business process,” “binary customer behavior,” “gap,” and “gap processes” are studied. In this chapter, a new simulation model is presented that allows a realistic analysis of business process based on gap processes. The model is based on the assumption that the gaps between two buyers are statistically independent on each other, which has been proofed as a good practical approximation. The novel contribution of the manuscript is revealed in the newly created simulation model based on gap processes. Directions of further research are indicated.

Self-Esteem and Group Decision Making: An Empirical Study

1980 ◽  
Vol 46 (3) ◽  
pp. 951-956
Author(s):  
T. M. Schwartz ◽  
V. J. Wullwick ◽  
H. J. Shapiro
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Empirical Study ◽  
Group Decision Making ◽  
Group Decision ◽  
Self Esteem ◽  
Self Concept ◽  
Numerical Ability ◽  
The Impact ◽  
Common Target

To assess the impact of self-esteem on group decision making 270 students in business were assigned to groups of 3 by sex, numerical ability, and self-esteem on the Tennessee Self-concept Scale. For scores on a ‘common-target’ game there was no correlation between sex and problem-solving ability, which however showed low rs with self-concept. Medium self-concept was associated with greater success than high or low self-concept.

scholarly journals Pythagorean 2-Tuple Linguistic Taxonomy Method for Supplier Selection in Medical Instrument Industries

2019 ◽  
Vol 16 (23) ◽  
pp. 4875 ◽  
Author(s):  
He ◽  
Wei ◽  
Lu ◽  
Wei ◽  
Lin
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Medical Instrument ◽  
Weighted Average ◽  
Decision Makers ◽  
The Novel ◽  
Fuzzy Information ◽  
Multiple Attribute

Supplier selection in medical instrument industries is a classical multiple attribute group decision making (MAGDM) problem. The Pythagorean 2-tuple linguistic sets (P2TLSs) can reflect uncertain or fuzzy information well and solve the supplier selection in medical instrument industries, and the original Taxonomy is very appropriate for comparing different alternatives with respect to their advantages from studied attributes. In this study, we present an algorithm that combines Pythagorean 2-tuple linguistic numbers (P2TLNs) with the Taxonomy method, where P2TLNs are applied to express the evaluation of decision makers on alternatives. Relying on the Pythagorean 2-tuple linguistic weighted average (P2TLWA) operator or Pythagorean 2-tuple linguistic weighted geometric (P2TLWG) operator to fuse P2TLNs, the new general framework is established for Pythagorean 2-tuple linguistic multiple attribute group decision making (MAGDM) under the classical Taxonomy method. Ultimately, an application case for supplier selection in medical instrument industries is designed to test the novel method’s applicability and practicality and a comparative analysis with three other methods is used to elaborate further.

scholarly journals Distribution Linguistic Fuzzy Group Decision Making Based on Consistency and Consensus Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2457
Author(s):  
Feifei Jin ◽  
Chang Li ◽  
Jinpei Liu ◽  
Ligang Zhou
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Support Model ◽  
Linguistic Information ◽  
Consensus Analysis ◽  
Fuzzy Group ◽  
New Research ◽  
Fuzzy Group Decision Making ◽  
Evaluation Information

The development of distribution linguistic provides a new research idea for linguistic information group decision-making (GDM) problems, which is more flexible and convenient for experts to express their opinions. However, in the process of using distribution linguistic fuzzy preference relations (DLFPRs) to solve linguistic information GDM problems, there are few studies that pay attention to both internal consistency adjustment and external consensus of experts. Therefore, this study proposes a fresh decision support model based on consistency adjustment algorithm and consensus adjustment algorithm to solve GDM problems with distribution linguistic data. Firstly, we review the concept of DLFPRs to describe the fuzzy linguistic evaluation information, and then we present the multiplicative consistency of DLFPRs and a new consistency measurement method based on the distance, and investigate the consistency adjustment algorithm to ameliorate the consistency level of DLFPRs. Subsequently, the consensus degree measurement is carried out, and a new consensus degree calculation method is put forward. At the same time, the consensus degree adjustment is taken the expert cost into account to make it reach the predetermined level. Finally, a distribution linguistic fuzzy group decision making (DLFGDM) method is designed to integrate the evaluation linguistic elements and obtain the final evaluation information. A case of the evaluation of China’s state-owned enterprise equity incentive model is provided, and the validity and superiority of the proposed method are performed by comparative analysis.

The Novel Computational Model of Unbalanced Linguistic Variables Based on Archimedean Copula

2018 ◽  
Vol 26 (04) ◽  
pp. 601-631 ◽  
Author(s):  
Zhifu Tao ◽  
Bing Han ◽  
Ligang Zhou ◽  
Huayou Chen
Keyword(s):  
Decision Making ◽  
Computational Model ◽  
Group Decision Making ◽  
Group Decision ◽  
Aggregation Operators ◽  
Archimedean Copula ◽  
The Novel ◽  
Linguistic Variables ◽  
Archimedean Copulas ◽  
Computation Model

We develop a novel computation model of unbalanced linguistic variables on the basis of Archimedean copulas and corresponding co-copulas, which provides a new tool to aggregate unbalanced linguistic information. The properties of the proposed computational model are also studied. We present the concepts of weighted unbalanced Archimedean copula arithmetic aggregation operators and weighted unbalanced Archimedean copula geometric aggregation operators. The properties of these aggregation operators are further investigated. Finally, a group decision making of sensory evaluation is introduced to illustrate the feasibility and validity of our proposed computational model.

scholarly journals A Novel Design of the Pre-Processing Stage of Data Mining for Educational Purposes

2019 ◽  
Vol 1 (1) ◽  
pp. 353-361
Author(s):  
Andreas Ahrens ◽  
Norbert Grünwald ◽  
Jeļena Zaščerinska ◽  
Julija Melnikova
Keyword(s):  
Data Mining ◽  
Empirical Study ◽  
Scientific Literature ◽  
Research Question ◽  
Theoretical Modelling ◽  
Data Sets ◽  
The Novel ◽  
Processing Stage ◽  
New Research

AbstractAs data sets, in education too, change in size and structure, an appropriate design of the preprocessing stage of data mining for the implementation of data mining for educational purposes is becoming a hot research topic. The aim of the present research is to carry out interdisciplinary analysis of scientific literature on pre-processing in data mining and to design a pre-processing stage of data mining for educational purposes underpinning elaboration of a new research question. The present research employs both theoretical and empirical methods. Theoretical methods include analysis of scientific literature and theoretical modelling. The theoretical findings allow identifying sub-stages of the pre-processing stage for the implementation of data mining for educational purposes. The empirical study was carried out in 2018. The study was a case study The empirical results emphasize the main areas of analysis of teachers’ behaviour in an international project. The empirical study validates the model of the pre-processing stage of data mining for educational purposes. The practical application of the model allows drawing a conclusion that the model is valid. The novel contribution of this paper is the design of the sub-stages of the preprocessing stage for the implementation of data mining techniques for educational purposes.

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