Using the analytic hierarchy process and multi-objective programming for the selection of cost drivers in activity-based costing

1997 ◽  
Vol 100 (1) ◽  
pp. 72-80 ◽  
Author(s):  
Marc J. Schniederjans ◽  
Tim Garvin
Keyword(s):  
Analytic Hierarchy Process ◽  
Activity Based Costing ◽  
Analytic Hierarchy ◽  
Cost Drivers ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Selection Of

Evaluation of Electric Vehicles' Impacts and Rationalization of their Energy Sources' Distribution Based on Analytic Hierarchy Process and Multi-Objective Programming Model

2014 ◽  
Vol 707 ◽  
pp. 525-531
Author(s):  
Ze Ming Jiang ◽  
Cong Hou
Keyword(s):  
Analytic Hierarchy Process ◽  
Electric Vehicles ◽  
Programming Model ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
Hierarchy Process ◽  
Economic And Social Impacts

By using Analytic Hierarchy Process (AHP), a solution is given in different aspects to analyze the weight of the impacts of electric vehicles. The economic and social impacts are found out to be the key factors. When EV’s penetration rate reaches a certain level, the lowest cost, lowest harm degree to our environment and society, and maximum possibility are considered to avoid using un-renewable energy. In addition, multi-objective programming model is built to solve the problem of the amount and type of electricity generation needed that will produce the largest number of benefits.

scholarly journals Applying the Analytic Hierarchy Process Decision Analysis to Better Understand Adoption Intentions of Mobile Banking

2016 ◽  
Vol 6 (1) ◽  
pp. 431
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen ◽  
Chiao-Chen Chang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Mobile Banking ◽  
Analytic Hierarchy ◽  
Research Findings ◽  
The Analytic Hierarchy Process ◽  
Banking Development ◽  
Hierarchy Process ◽  
Adoption Intention ◽  
Selection Of

<p class="ber"><span lang="EN-GB">The purpose of this study was to examine the influencing factors of the adoption intention of mobile banking from a bank perspective. The survey data were conducted from a selection of mobile banking, and were analyzed by the analytic hierarchy process (AHP) decision analysis to explore adoption intentions in the context of mobile banking. The results of the AHP decision analysis revealed that the “convenience” and the “personalization” were the most important factors for mobile banking from a bank’s perspective. Furthermore, the research findings illustrated theoretical and practical implications for mobile banking development and indicated how to reinforce the “location-based benefits” and the “transaction speed” in order to create customer adoption intentions via a bank perspective.</span></p>

The Analytic Hierarchy Process as a Method for the Selection of Resources in the Cloud

2021 ◽  
pp. 267-284
Author(s):  
Hugo Rolando Haurech ◽  
David Luis la Red Martinez
Keyword(s):  
Cloud Computing ◽  
Analytic Hierarchy Process ◽  
Information Technologies ◽  
Analytic Hierarchy ◽  
Mathematical Development ◽  
Technological Advances ◽  
Computing Skills ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Selection Of

Due to technological advances, organizations have to face many challenges in providing support through the use of information technologies (IT) to carry out tasks that require computing skills. It is important to adopt adequate resources with the aim of developing processing skills that meet actual needs. Cloud computing (CC) represents an alternative that offers many opportunities to be exploited. This chapter introduces characteristics of CC, the technologies that enable its deployment, and a model of selection based on qualifications and mathematical development.

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