A Decision Model for Information Systems Outsourcing: Using a Multicriteria Method

Wang, Jianjun; Lin, Zhengkui; Huang, Hao

doi:10.4236/jssm.2008.11001

Cited by 16 publications

(10 citation statements)

References 16 publications

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“…In this regard, the losses are placed in term

{L}_{i,T}^{\text{TCH}}

known as the basic unit of technological loss in the proposed model, where the superscript and subscript indices, respectively, imply to the kind of loss and deployment from

{\text{provider}}_{i}

that has disability to provide agreed services during the time interval T . Furthermore, coefficient

{\boldsymbol{\alpha }}_{\mathit{i}}

as a weight seen in Table 4, the output measurement of technological loss and the basic unit value of technological loss are obtained by AHP and Delphi methods along with the company’s prior experiences [12, 38, 39, 53, 60]. Elasticity: Elasticity is the interesting and cost‐efficient attribute of cloud computing such as Amazon EC2 instances that are delivered to general public adaptive with users' variable requirements.…”

Section: Proposed Holistic Cloud Decision Modelmentioning

confidence: 99%

“…The term

{L}_{i,T}^{\text{ORG}}

is dedicated for the basic unit amount of loss because of organisational changes; the coefficient

{\boldsymbol{\beta }}_{\boldsymbol{\mathcal{i}}}

(c.f., Table 4) is the output amount of loss or its intensity in organisational changes. The basic unit amount of environmental loss is obtained by AHP and Delphi methods and also by incorporating the company prior experiences in this domain [4, 12, 53, 60]. Very important changes in organisational viewpoints are as follows: Accounting: The accounting will definitely be changed because infrastructure devices such as hardware and network devices are not procured upfront; then, the adopter organisations must concentrate on the price schemes that the cloud gives; hereafter, the consumed service price, personnel salary, and billed for utilities are incorporated as accounting.…”

Section: Proposed Holistic Cloud Decision Modelmentioning

confidence: 99%

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A decision framework for cloud migration: A hybrid approach

2022

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Cloud computing is utilised for information technology outsourcing of either industries or organisations. There are several inhibitors and motivations related factors to determine whether one can embrace the cloud services or not. Therefore, this paper presents a holistic and flexible cloud decision framework by taking a wide spectrum weighted factors related to the acceptance or denial of the cloud services. To have sustainable decision and obviating the shortcomings of the existing approaches on the cloud service adoption, a deep understanding of organisation's business process requirements and cost implications is required. To utilise the proposed model, the functional and non-functional requirements associated to the business process of an adopter organisation must be specified. To reach a concrete decision, a hybrid approach is applied by incorporating the analytic hierarchy process and Delphi methods to prevent subjective outcomes and to have diverse experiences at the same time. To support the decision model, some economic theories and Moore law are used. To verify the proposed model, a Telecommunication Company is considered as a case study for its 6-year plan of investment. The simulation results of conducted scenarios for the mentioned mid-scale case study prove that it is logical to establish on-premises a private datacenter and utilising the hybrid deployment once it encounters abrupt burst of resource demand. Altogether, the proposed holistic model can be customised for different users with different scales.

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“…In this regard, the losses are placed in term

{L}_{i,T}^{\text{TCH}}

known as the basic unit of technological loss in the proposed model, where the superscript and subscript indices, respectively, imply to the kind of loss and deployment from

{\text{provider}}_{i}

that has disability to provide agreed services during the time interval T . Furthermore, coefficient

{\boldsymbol{\alpha }}_{\mathit{i}}

Section: Proposed Holistic Cloud Decision Modelmentioning

confidence: 99%

“…The term

{L}_{i,T}^{\text{ORG}}

is dedicated for the basic unit amount of loss because of organisational changes; the coefficient

{\boldsymbol{\beta }}_{\boldsymbol{\mathcal{i}}}

Section: Proposed Holistic Cloud Decision Modelmentioning

confidence: 99%

A decision framework for cloud migration: A hybrid approach

2022

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“…Wang et al [33] selected five factors from the literature: strategy, economics, risk, quality and environment. They proposed a multi-criteria model based on these factors by using AHP and ELECTRE III.…”

Section: Study Backgroundmentioning

confidence: 99%

Multi-Criteria Decision Making Model for Application Maintenance Offshoring Using Analytic Hierarchy Process

et al. 2021

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The phenomenon of Global Software Development (GSD) has attracted the interest of businesses all over the world. It brings together partners from various national and corporate cultures to develop applications with numerous advantages, including access to a vast labor pool, cost savings, and round the clock growth. GSD, on the other hand, is technologically and organizationally diverse and poses a number of obstacles for the development team, such as geographical distance, cultural differences, communication and language barriers. Global services are provided by selecting one of the suitable global delivery options, i.e., the onshore model, nearshore model or offshore model. Experts typically choose one of the models based on the nature of the project and the needs of the customer. However, the vendors and clients lack an adequate decision support system that can assist them in making suitable sourcing decisions. Therefore, the current study presents a Multi-Criteria Decision Making (MCDM) model for offshore outsourcing decisions of application maintenance. To achieve our target, two systematic literature reviews were conducted that explored a list of 15 influencing factors. The identified factors were further evaluated in the outsourcing industry by performing an empirical study that resulted in a list of 10 critical success factors. We propose a sourcing framework based on the critical success factors that can assist decision makers in adopting a suitable sourcing strategy for the offshore outsourcing of application maintenance. In order to further enhance the decision-making process, the MCDM model is developed based on the Analytic Hierarchy Process (AHP). The MCDM model is evaluated with three case studies in highly reputable international companies, including IBM Stockholm, Sweden, Vattenfall AB, Stockholm, Sweden and a London based company in the United Kingdom. The outcomes of these case studies are further reviewed and validated by the outsourcing specialists in other firms. The proposed model is used as a decision support system that determines the ranking of sourcing alternatives and suggests the most suitable option for application maintenance offshoring.

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“…Jahns, Hartmann, & Bals 2006 [34] Outsourcing as a mode of governance among three possibilities: "Make" (internalize), "buy" (outsourcing), and "hybrid" (sharing the implementation of activities with a partner) Wang , Lin, & Huang 2008 [35] Using multi-criteria approach based on AHP and improved ELECTRE III The review of different factors and criteria of outsourcing leads to identify the major points on which an outsourcing activity should be based on. These points are as follows:…”

Section: Authors (Year)mentioning

confidence: 99%

Maturity Model for Cloud Computing Transformation Assessing an Information System s Functional Block Maturity

Kriouile

Haloui

2016

Fourth International Conference on Advances in Computing, Communication and Information Technology CCIT- 2016

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IT managers and decision makers permanently need support tools to make decision for adopting new solutions and services such as cloud computing. This paper introduces a maturity assessment model of an Information System architecture functional block in the aim of outsourcing to cloud services. This model considers the fundamental requirements arising from the literature, best practices, and standards in the domain. Thus, this model provides a new added value for the opening of enterprise architectures to new technologies.

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A Decision Model for Information Systems Outsourcing: Using a Multicriteria Method

Abstract: An ever-increasing trend in today's firms is to exploit outsourcing for those information systems (IS) functions

Cited by 16 publications

References 16 publications

A decision framework for cloud migration: A hybrid approach

A decision framework for cloud migration: A hybrid approach

Multi-Criteria Decision Making Model for Application Maintenance Offshoring Using Analytic Hierarchy Process

Maturity Model for Cloud Computing Transformation Assessing an Information System s Functional Block Maturity

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