Use of Information Technology Tools in Source Selection Decision Making: A Study on USAF's KC-X Tanker Replacement Program

2008 ◽  
Author(s):  
Sidar Kaymaz ◽  
Alaattin Diri
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Source Selection ◽  
Technology Tools ◽  
Selection Decision

Information technology support for integrated supply chain modeling

2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Process Modeling ◽  
Service Oriented Architecture ◽  
Model Development ◽  
Integrated Models ◽  
Supply Chain Modeling ◽  
Decision Making Models ◽  
Integrated Supply Chain

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

scholarly journals Interval-Valued Probabilistic Hesitant Fuzzy Set Based Muirhead Mean for Multi-Attribute Group Decision-Making

Mathematics ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 342 ◽  
Author(s):  
Krishankumar ◽  
Ravichandran ◽  
Ahmed ◽  
Kar ◽  
Peng
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Set ◽  
Group Decision ◽  
Partial Information ◽  
Programming Model ◽  
Hesitant Fuzzy Set ◽  
Occurrence Probability ◽  
Source Selection ◽  
Interval Valued

As a powerful generalization to fuzzy set, hesitant fuzzy set (HFS) was introduced, which provided multiple possible membership values to be associated with a specific instance. But HFS did not consider occurrence probability values, and to circumvent the issue, probabilistic HFS (PHFS) was introduced, which associates an occurrence probability value with each hesitant fuzzy element (HFE). Providing such a precise probability value is an open challenge and as a generalization to PHFS, interval-valued PHFS (IVPHFS) was proposed. IVPHFS provided flexibility to decision makers (DMs) by associating a range of values as an occurrence probability for each HFE. To enrich the usefulness of IVPHFS in multi-attribute group decision-making (MAGDM), in this paper, we extend the Muirhead mean (MM) operator to IVPHFS for aggregating preferences. The MM operator is a generalized operator that can effectively capture the interrelationship between multiple attributes. Some properties of the proposed operator are also discussed. Then, a new programming model is proposed for calculating the weights of attributes using DMs’ partial information. Later, a systematic procedure is presented for MAGDM with the proposed operator and the practical use of the operator is demonstrated by using a renewable energy source selection problem. Finally, the strengths and weaknesses of the proposal are discussed in comparison with other methods.

Trust Leadership: A Work-from-Home Scenario in Its Sector During the COVID-19 Pandemic

2021 ◽  
pp. 227868212110476
Author(s):  
Rahul. P
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Cross Section ◽  
Positive Relationship ◽  
Work From Home ◽  
It Employees ◽  
It Leadership

The study covers aspects of leadership trust among the information technology (IT) employees in India, with the help of data collected from a cross section of 205 IT employees. The article has assessed leadership trust factor from the employee’s (workforce) perspective with COVID19 pandemic and work-from-home situation. The outcome of data establishes a positive relationship between leadership trust and factors such as communication, decision-making, integrity, and motivation. The study also suggests that the IT sector and its leadership have created a positive trust among the employees during the COVID-19 work-from-home scenario. Findings suggest that in areas like integrity and making decisions quickly, the IT leadership has exhibited high trust levels, while in some other areas like communication and keeping the employees motivated (inspired), there have been few minor gaps that require attention from the leadership, which could preclude the wilting of established trust between the leader and his employees.

Towards Academic Successor Selection Modelling with Genetic Algorithm in Multi-Criteria Problems

2018 ◽  
Vol 7 (4.33) ◽  
pp. 130
Author(s):  
Atiqa Zukreena Zakuan ◽  
Shuzlina Abdul-Rahman ◽  
Hamidah Jantan ◽  
. .
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Succession Planning ◽  
Fitness Function ◽  
Academic Staff ◽  
Fitness Value ◽  
Selection Decision ◽  
The University ◽  
Hierarchy Process

Succession planning is a subset of talent management that deals with multi-criteria and uncertainties which are quite complicated, ambiguous, fuzzy and troublesome. Besides that, the successor selection involves the process of searching the best candidate for a successor for an optimal selection decision. In an academic scenario, the quality of academic staff contributes to achieving goals and improving the performance of the university at the international level. The process of selecting appropriate academic staff requires good criteria in decision-making. The best candidate's position and criteria for the selection of academic staff is the responsibility of the Human Resource Management (HRM) to select the most suitable candidate for the required position. The various criteria that are involved in selecting academic staff includes research publication, teaching skills, personality, reputation and financial performance. Previously, most studies on multi-criteria decision-making adopt Fuzzy Analytical Hierarchy Process (FAHP). However, this method is more complex because it involved many steps and formula and may not produce the optimum results. Therefore, Genetic Algorithm (GA) is proposed in this research to address this problem in which a fitness function for the successor selection is based on the highest fitness value of each chromosome.    

Achieving Global Competitive Human Resources in the Industrial Revolution

2021 ◽  
Author(s):  
Pang william panggantara
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Human Resources ◽  
Competitive Advantage ◽  
Industrial Revolution ◽  
Global Market ◽  
Massive Transformation ◽  
Business Decision ◽  
Fourth Wave

Fourth wave of industrial revolution is marked by the use of information technology, artificial inteligence (A.I), and automatic engines. Competitive advantage has become a necessity for every business actor when they wants to competing in the global market. The current condition definitely encouraging the occurence of massive transformation at all business levels and units this condition happens because every business actor can enter from and any other countries markets easily. this condition making professionalism of every business actor is highly prioritized like many case in the business decision making and continous innovation.

Framing Information Technology Governance in the Public Sector: Opportunities and Challenges

2015 ◽  
Vol 11 (4) ◽  
pp. 89-101 ◽  
Author(s):  
Khalifa Al-Farsi ◽  
Ramzi EL Haddadeh
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Public Sector ◽  
It Governance ◽  
Decision Makers ◽  
The Public ◽  
Technology Governance ◽  
Support Organizations ◽  
Information Technology Governance ◽  
Decision Making Processes

Information technology governance is considered one of the innovative practices that can provide support for decision-makers. Interestingly, it has become increasingly a de facto for organizations in seeking to optimise their performance. In principle, information technology governance has emerged to support organizations in the integration of information technology (IT) infrastructures and the delivery of high-quality services. On the other hand, decision-making processes in public sector organisations can be multi-faceted and complex, and decision makers play an important role in implementing technology in the public sector. The aim of this paper is to shed some light on current opportunities and challenges that IT governance is experiencing in the context of public sector services. In this respect, this paper examines the factors influencing the decision-making process to fully appreciate IT governance. Furthermore, this study focuses on combining institutional and individual perspectives to explain how individuals can take decisions in response to institutional influences.

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