scholarly journals Assessment of Collaboration-Based and Non-Collaboration-Based Logistics Risks with Plithogenic SWARA Method

Logistics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 82
Author(s):  
Alptekin Ulutaş ◽  
Ieva Meidute-Kavaliauskiene ◽  
Ayse Topal ◽  
Ezgi Demir
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Group Decision ◽  
Geographical Location ◽  
Environmental Concerns ◽  
Ratio Analysis ◽  
Risk Environment ◽  
Wide Range ◽  
High Level ◽  
First Time

Background: Uncertainty is the major source of hazards, and it is present in a wide range of business activities. Due to the high level of unpredictability in logistics operations, the logistics sector has traditionally operated in a high-risk environment. These risks have become considerably more complicated as the corporate environment has changed in recent years, such through globalization, environmental concerns, and changes in demand. As a result, in order for a logistics firm to thrive, it is necessary to evaluate and assess the risks associated with logistics. Methods: The Plithogenic Stepwise Weight Assessment Ratio Analysis (SWARA) has been used in this study to assess the logistics risks. The logistics risk considered in this study are transportation-related risks, purchasing-related risks, inventory-related risks, information-related risks, packaging-related risks, operational-related risks, geographical location-related risks, natural disaster-related risks, and organization-related risks. Results: The most significant logistics risks are found to be Inventory-Related Risks, while the least significant are Geographical Location-Related Risks. When compared to the standard SWARA approach, the Plithogenic SWARA method may be employed in group decision-making issues without losing information. Conclusions: The proposed technique will help logistics professionals make informed decisions and manage and analyze risks more efficiently. This study will also contribute to the literature as it is the first time that logistical risks have been addressed by utilizing the Plithogenic SWARA technique.

scholarly journals Towards Better Concordance among Contextualized Evaluations in FAST-GDM Problems

Mathematics ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 93
Author(s):  
Marcelo Loor ◽  
Ana Tapia-Rosero ◽  
Guy De Tré
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Group Decision ◽  
Intuitionistic Fuzzy Sets ◽  
Heterogeneous Group ◽  
Intuitionistic Fuzzy ◽  
High Level ◽  
Consensus Reaching ◽  
Novel Algorithm

A flexible attribute-set group decision-making (FAST-GDM) problem consists in finding the most suitable option(s) out of the options under consideration, with a general agreement among a heterogeneous group of experts who can focus on different attributes to evaluate those options. An open challenge in FAST-GDM problems is to design consensus reaching processes (CRPs) by which the participants can perform evaluations with a high level of consensus. To address this challenge, a novel algorithm for reaching consensus is proposed in this paper. By means of the algorithm, called FAST-CR-XMIS, a participant can reconsider his/her evaluations after studying the most influential samples that have been shared by others through contextualized evaluations. Since exchanging those samples may make participants’ understandings more like each other, an increase of the level of consensus is expected. A simulation of a CRP where contextualized evaluations of newswire stories are characterized as augmented intuitionistic fuzzy sets (AIFS) shows how FAST-CR-XMIS can increase the level of consensus among the participants during the CRP.

scholarly journals Organic or organised: an interaction analysis to identify how interactional practices influence participation in group decision meetings for residency selection

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e026424 ◽  
Author(s):  
Lokke Gennissen ◽  
Anne de la Croix ◽  
Karen Stegers-Jager ◽  
Jacqueline de Graaf ◽  
Cornelia R M G Fluit ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Interaction Analysis ◽  
Real Life ◽  
Wide Range ◽  
Turn Taking ◽  
Residency Selection ◽  
Selection Decision ◽  
Resident Selection ◽  
Interactional Patterns

ObjectivesThis study aims to shed light on interactional practices in real-life selection decision-making meetings. Adequate residency selection is crucial, yet currently, we have little understanding of how the decision-making process takes place in practice. Since having a wide range of perspectives on candidates is assumed to enhance decision-making, our analytical focus will lie on the possibilities for committee members to participate by contributing their perspective.DesignWe analysed interaction in seven recorded real-life selection group decision meetings, with explicit attention to participation.SettingSelection meetings of four different highly competitive specialties in two Dutch regions.Participants54 participants discussed 68 candidates.MethodsTo unravel interactional practices, group discussions were analysed using a hybrid data-driven, iterative analytical approach. We paid explicit attention to phenomena which have effects on participation. Word counts and an inductive qualitative analysis were used to identify existing variations in the current practices.ResultsWe found a wide variety of practices. We highlight two distinct interactional patterns, which are illustrative of a spectrum of turn-taking practices, interactional norms and conventions in the meetings. Typical for the first pattern—‘organised’—is a chairperson who is in control of the topic and turn-taking process, silences between turns and a slow topic development. The second pattern—‘organic’—can be recognised by overlapping speech, clearly voiced disagreements and negotiation about the organisation of the discussion. Both interactional patterns influence the availability of information, as they create different types of thresholds for participation.ConclusionsBy deconstructing group decision-making meetings concerning resident selection, we show how structure, interactional norms and conventions affect participation. We identified a spectrum ranging from organic to organised. Both ends have different effects on possibilities for committee members to participate. Awareness of this spectrum might help groups to optimise decision processes by enriching the range of perspectives shared.

scholarly journals Doing it for the kids: the role of sustainability in family consumption

2016 ◽  
Vol 44 (11) ◽  
pp. 1100-1117 ◽  
Author(s):  
Elaine L. Ritch ◽  
Douglas Brownlie
Keyword(s):  
Decision Making ◽  
Empirical Work ◽  
Geographical Location ◽  
Well Being ◽  
Educational Interventions ◽  
Environmental Concerns ◽  
Exploratory Research ◽  
Social Resilience ◽  
Content Type ◽  
Family Consumption

Purpose The purpose of this paper is to explore social dynamics around food and clothing provisioning for young families and how involvement in environmental concerns shapes those dynamics and presents challenges and opportunities to in terms of evolving consumer tastes. Through collecting and analysing narratives of mothering, the authors explore the influence of children on decision making in household provisioning; in particular, how their education into sustainable concepts through the European initiative of eco-schools impacts provisioning. Design/methodology/approach The exploratory research design specifically sought the demographic profile identified in extant literature as engaging with sustainability issues to explore how they were interpreted into familial consumption. This resulted in 28 unstructured interviews exploring a range of related topics with a group of highly educated working mothers with a profession. Findings The study finds that family consumption behaviour is mediated by relations towards environmental concerns and taste positions taken by both parents and children. It illustrates how care for children’s safety, social resilience and health and well-being is habitus informed as well as being the subject of wider institutional logics including educational interventions such as school eco-status and participation in mother and child activity groups. However, tensions arose surrounding the children’s socialisation with peers and space was provided to help the children self-actualise. Research limitations/implications The exploratory goal of the study limited the scope of its empirical work to a small group of participants sharing consumer characteristics and geographical location. Practical implications The research provides ideas for retailers, brands and marketers to better position their product offering as it relates to growing family concerns for ecological issues and sustainable consumption, as well as what motivates sustainable behaviours, from both the child and mothers perspective. Social implications The research identifies the immersion of sustainability into family households when there are no financial implications, influenced through campaigns, schools and society. This provides examples of what motivates sustainable behaviours for retailers and marketers to develop strategies that can be capitalised on. Originality/value The originality of the research emerges through examining how children influence sustainability within households and decision making, moving beyond health implications to educate children to be responsible consumers through play and authentic experiences.

scholarly journals Probabilistic Hybrid Linguistic Approaches for Multiple Attribute Group Decision Making with Decision Hesitancy and the Prioritization of Attribute Relationships

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 235
Author(s):  
Junling Zhang ◽  
Ying Hong ◽  
Xiaowen Qi ◽  
Changyong Liang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Average ◽  
Distance Measures ◽  
Distance Measurements ◽  
Information Distortion ◽  
Multiple Attribute ◽  
Wide Range ◽  
Linguistic Term

Focusing on ill-structured multiple attribute decision-making (MADM) problems, including decision hesitancy and attribute prioritization relationships, this paper investigates appropriate approaches for decision making. Firstly, we introduce the probabilistic hybrid linguistic term set (P-HLTS) for capturing probabilistic preferences about possible linguistic labels belonging to a wide range of hesitant linguistic term sets. Entropy and distance measurements for P-HLTS are developed without arbitrary complementing operations. To facilitate decision making with attribute prioritization relationships, we present a probabilistic uncertain balanced linguistic-prioritized weighted average (PUBL-PWA) operator and the probabilistic uncertain balanced linguistic-induced prioritized ordered weighted average (PUBL-IPOWA) operator. In terms of the strength of the above tools, we further construct two multiple attribute group decision-making (MAGDM) approaches under P-HLTS environments, namely, an approach for decision-making situations where attribute prioritization relationships are known in advance and the relative importance of decision makers (DMs) or decision-making units (DMUs) is not required for consideration, and second approach for decision-making situations where both attribute prioritization relationships and the weighted vectors of DMs or DMUs are explicitly unknown. In general, our proposed approaches are more flexible and practical when considering heterogeneous opinions, avoiding information distortion brought about by complementing operation-based distance measures. Furthermore, illustrative application studies are conducted to verify our developed approaches.

Prioritization of IT Product Backlog Items Using Decision Support Systems

2020 ◽  
Vol 26 (11) ◽  
pp. 631-640
Author(s):  
T. K. Kravchenko ◽  
◽  
S. N. Bruskin ◽  
D. V. Isaev ◽  
E. V. Kuznetsova ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Problem Situations ◽  
User Stories ◽  
Different Types ◽  
High Level ◽  
Support Methods

The article focuses on the application of decision support systems for prioritization of product backlog items in IT projects implemented using the Scrum methodology. The study identified the features of prioritization of different types of the product backlog items — user stories, epics and themes. It is justified that high-level product backlog items (epics and themes) require comprehensive prioritization, due to the following reasons. First, high-level product backlog items are particularly important because they determine the planning and implementation of detailed user stories within individual sprints. Second, any high-level item can be considered in terms of different criteria. Third, the implementation of epics and themes takes longer time compared to the implementation of user stories, so it is necessary to take into account possible future states of the project's environment. Fourth, prioritizing epics and themes requires increased objectivity and validity, so group decision making with participation of several experts seems reasonable. Taking into consideration the aforementioned features the conclusion regarding limitations of existing methods of prioritization is made. It is argued that prioritization of high-level product backlog items (epics and themes) may be performed using multi-criteria decision making methods with availability of several problem situations (possible future states of the environment), as well as involvement of several experts. The idea of applying decision support methods and systems is illustrated on the appropriate example. It is also argued that increased consumption of time and resources related with setting and solving decision support tasks may be considered as acceptable for high-level product backlog items.

GROUPTHINK: EFFECTS OF COHESIVENESS AND PROBLEM-SOLVING PROCEDURES ON GROUP DECISION MAKING

1984 ◽  
Vol 12 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Michael R. Callaway ◽  
James K Esser
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Group Decision Making ◽  
Group Decision ◽  
Group Processes ◽  
Decision Procedures ◽  
Decision Quality ◽  
Group Cohesiveness ◽  
Mixed Support ◽  
High Level

Janis' (1972) groupthink formulation was tested in the laboratory by manipulating group cohesiveness and adequacy of decision procedures in a factorial design. Internal analysis, involving redefined cohesiveness categories, provided mixed support for the groupthink hypothesis on measures of decision quality and group processes presumed to underlie the groupthink decisions. Specifically, it was found that: (1) highest quality decisions were produced by groups of intermediate cohesiveness; (2) high cohesive groups without adequate decision procedures (the groupthink condition) tended to make the poorest decisions; and (3) the presence of groupthink was characterized by a lack of disagreement and a high level of confidence in the group's decisions.

scholarly journals Induced Interval-Valued Intuitionistic Fuzzy Hybrid Aggregation Operators with TOPSIS Order-Inducing Variables

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Jun-Ling Zhang ◽  
Xiao-Wen Qi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Aggregation Operators ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Special Cases ◽  
Wide Range ◽  
Induced Aggregation ◽  
Interval Valued

Two induced aggregation operators with novelly designed TOPSIS order-inducing variables are proposed: Induced Interval-valued Intuitionistic Fuzzy Hybrid Averaging (I-IIFHA) operator and Induced Interval-valued Intuitionistic Fuzzy Hybrid Geometric (I-IIFHG) operator. The merit of two aggregation operators is that they can consider additional preference information of decision maker’s attitudinal characteristics besides argument-dependent information and argument-independent information. Some desirable properties of I-IIFHA and I-IIFHG are studied and theoretical analysis also shows that they can include a wide range of aggregation operators as special cases. Further, we extend these operators to form a novel group decision-making method for selecting the most desirable alternative in multiple attribute multi-interest group decision-making problems with attribute values and decision maker’s interest values taking the form of interval-valued intuitionistic fuzzy numbers, and application research to real estate purchase selection shows its practicality.

scholarly journals Power Geometric Operators of Hesitant Multiplicative Fuzzy Numbers and Their Application to Multiple Attribute Group Decision Making

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Lei Wang ◽  
Mingfang Ni ◽  
Zhanke Yu ◽  
Lei Zhu
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Fuzzy Information ◽  
Support Measures ◽  
Aggregation Techniques ◽  
Multiple Attribute ◽  
Wide Range ◽  
Magdm Problems

Multiplicative relations are one of most powerful techniques to express the preferences over alternatives (or criteria). In this paper, we propose a wide range of hesitant multiplicative fuzzy power aggregation geometric operators on multiattribute group decision making (MAGDM) problems for hesitant multiplicative information. In this paper, we first develop some compatibility measures for hesitant multiplicative fuzzy numbers, based on which the corresponding support measures can be obtained. Then we propose several aggregation techniques, and investigate their properties. In the end, we develop two approaches for multiple attribute group decision making with hesitant multiplicative fuzzy information and illustrate a real world example to show the behavior of the proposed operators.

scholarly journals INTUITIONISTIC FUZZY GENERALIZED PROBABILISTIC ORDERED WEIGHTED AVERAGING OPERATOR AND ITS APPLICATION TO GROUP DECISION MAKING

2015 ◽  
Vol 22 (2) ◽  
pp. 177-193 ◽  
Author(s):  
Shouzhen ZENG ◽  
Weihua SU ◽  
Chonghui ZHANG
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Averaging ◽  
Uncertain Environments ◽  
Intuitionistic Fuzzy Numbers ◽  
Ordered Weighted Averaging ◽  
Intuitionistic Fuzzy ◽  
Wide Range ◽  
Ordered Weighted Averaging Operator

In this paper, we present the intuitionistic fuzzy generalized probabilistic ordered weighted averaging (IFGPOWA) operator. It is a new aggregation operator that uses generalized means in a unified model between the probability and the OWA operator. The main advantage of this new operator is that it is able to deal with probabilities (objective information) and ordered weighted averages (subjective information) in the same formulation. Moreover, it is also able to deal with uncertain environments that can be assessed with intuitionistic fuzzy numbers. Furthermore, it uses generalized means providing a very general formulation that includes a wide range of situations. We study some of its main properties and particular cases such as the generalized intuitionistic fuzzy ordered weighted averaging (GIFOWA) operator and intuitionistic fuzzy probabilistic ordered weighted averaging (IFPOWA) operator. We end the paper by applying the new operator to a group decision making problem concerning the selection of investments.

scholarly journals Foresight as a tool of public administration in the field of science, technology and innovation

2021 ◽  
Vol 8 (1) ◽  
pp. 90-97
Author(s):  
T. Kvasha ◽  
◽  
L. Musina ◽  
Keyword(s):  
New Technologies ◽  
National Level ◽  
Research And Innovation ◽  
Science Technology ◽  
Wide Range ◽  
Smart Specialization ◽  
High Level ◽  
First Time ◽  
Science Technology And Innovation

Given the growing role of technological foresight as a tool for reconciling visions, goals and ways of STI development in an era of rapid technological change and global challenges, the approach to foresight research to select priorities for science and innovation in Ukraine for 2022–2026 has been improved. It takes into account a wide range of national targets for achieving SDGs by 2030. The developed Methodological recommendations provided a thorough analysis of more than 3,000 potentially acceptable technological and innovative proposals. The approach to setting STI priorities is new for Ukraine and involves a consistent process of selecting the top 30 most acceptable proposals in each of the seven thematic areas through five stages of discussions and evaluations. The result was the formation of a database of technology passports and developments on the experts’ proposals, their selection by practitioners, ranking, evaluation in terms of the potential of Ukrainian science and relevance in terms of world science and new technologies using international databases. They are the basis for decisions by the Expert Councils and the High-Level Working Group on key thematic areas and the preparation of a relevant draft government decision. Despite the conditions of quarantine, for the first time more than 2,500 experts from science, business, state and public organizations took part in the discussions, which is the basis for impartial and public decision-making. To strengthen the role of foresight as a tool for public planning and management in the field of STI, it is proposed to develop a STI roadmap as part of a research and innovation strategy for smart specialization (RIS 3) at the national level.

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