Composite Techniques of Structural Equation Modeling and Analytic Hierarchy Process for Information Technology Vendor Selection

Author(s):  
Dhanapal Durai Dominic Panneer Selvam ◽  
Sarit Maitra ◽  
P. Parthiban ◽  
Abdul Zubar Hameed

This paper had developed an effective information technology (IT) vendor selection model for banking & financial services industries (BFSI). For any business, profitability and growth depends on the right vendor selection in their purchase process. This paper identifies ten most influencing and important criteria with 43 sub-criteria to comprehend the vendor selection process. Furthermore, the authors developed a vendor selection score model using Structural Equation Modelling (SEM) and Analytic Hierarchy Process (AHP). This article intends to inform practice and conclude with practical recommendations to BFSI for vendor selection. The proposed composite technique identified the most eligible vendor to meet up with the buyer’s strategies. This article suggests the most desirable vendor for the required benefit. Vendor 1 (Silverlake) with a score of 44% promised to be the most recommended one that also performed consistently in the sensitivity test.


Author(s):  
Enrique Mu

<p>Professor Enrique Mu, Editor-in-Chief of the International Journal of the AHP (on the right), honored by Mayor Luke Ravenstahl for helping the City of Pittsburgh select the best technology to move its Information Technology functions to the Cloud, a tough decision that had to be made by city officials. Professor Mu used AHP (the Analytic Hierarchy Process for decision-making) to guide the process, facilitating it over a period of months.</p><p>http://dx.doi.org/10.13033/ijahp.v3i1.92</p>





2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.



Recycling ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 73
Author(s):  
Kambiz Ghafourian ◽  
Kamyar Kabirifar ◽  
Amir Mahdiyar ◽  
Maziar Yazdani ◽  
Syuhaida Ismail ◽  
...  

Construction and demolition waste (CDW), as the main consequence of construction and demolition (C&D) activities, has severely affected our sustainability needs. However, construction and demolition waste management (CDWM) lacks the integration of sustainability concepts. Thus, there is a great need to include sustainability dimensions in CDWM to reach sustainable construction and demolition waste management (SCDWM). This study aims at empirically investigating SCDWM by analyzing the impacts of factors that contribute to sustainability aspects of CDWM on waste management hierarchy (WMH), including reduce, reuse, recycle, and disposal strategies. According to the literature, 26 factors were initially identified and grouped under four categories, namely environmental, economic, social, and administrative, that contribute to sustainability aspects of CDWM. Subsequently, a pilot test was performed to assess the significance and applicability of these factors in the Malaysian construction industry by implementing the express analytic hierarchy process (EAHP). Then, a questionnaire survey was performed to collect data from 132 construction companies involved in CDWM. Partial least squares-structural equation modeling (PLS-SEM) was used to test the hypothetical relationships by applying SmartPLS software. Results demonstrated that the economic aspect of CDWM (main category) and “public environment contamination due to illegal waste dumping” (sub-category) were the most influential factor in SCDWM in Malaysia.



2018 ◽  
Vol 66 ◽  
pp. 77-89 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Mohd Hairul Nizam Bin Md Nasir ◽  
Nurul Fazmidar Binti Mohd Noor ◽  
Liyana Shuib ◽  
Nasrin Badie


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