Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes
Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes
复制标题
云供应商选择决策：综合权重和主客观属性的群体决策改进方法
DOI：
10.1016/j.eswa.2016.01.059
复制
发表时间：
2016-08-15
影响因子：
8.5
通讯作者：
Ran, Wenxue
中科院分区：
文献类型：
--
作者：
Liu, Sen;Chan, Felix T. S.;Ran, Wenxue
云计算技术已经变得越来越流行，并且可以带来许多好处。然而，市场上的云提供商种类繁多，企业需要科学的决策工具来判断应该选择哪家云计算供应商。关于企业应如何选择合适的云供应商的研究才刚刚开始。然而，现有研究主要从技术和成本角度出发，忽视了竞争压力、管理技能等其他影响因素。因此，本文提出一种基于多属性群体决策（MAGDM）的科学决策工具，帮助企业通过考虑更全面的影响因素来判断哪个云计算供应商更适合自己的需求。认为云计算服务决策应考虑客观属性，即成本，以及主观属性，如TOE因素（技术、组织和环境），并提出一种新的主客观集成MAGDM方法来解决决策问题。所提出的方法集成了统计方差（SV）、通过与理想解的相似性改进的顺序偏好技术（TOPSIS）、简单相加权重（SAW）和Delphi-AHP来确定属性和决策者（DM）的综合权重。该方法既考虑了属性和DM的客观权重，也考虑了DM的主观偏好及其身份差异，从而使决策结果更加准确，理论上合理。给出了一个数值例子来说明该方法的实用性和有用性以及它作为企业使用云计算服务的决策工具的适用性。本文丰富了云计算供应商选择问题和MAGDM分析的理论和方法。 (C) 2016 Elsevier Ltd. 所有紧身衣保留。
Cloud computing technology has become increasingly popular and can deliver a host of benefits. However, there are various kinds of cloud providers in the market and firms need scientific decision tools to judge which cloud computing vendor should be chosen. Studies in how a firm should select an appropriate cloud vendor have just started. However, existing studies are mainly from the technology and cost perspective, and neglect other influence factors, such as competitive pressure and managerial skills, etc. Hence, this paper proposes a multi-attribute group decision-making (MAGDM) based scientific decision tool to help firms to judge which cloud computing vendor is more suitable for their need by considering more comprehensive influence factors. It is argued that objective attributes, i.e., cost, as well as subjective attributes, such as TOE factors (Technology, Organization, and Environment) should be considered for the decision making in cloud computing services, and presents a new subjective/objective integrated MAGDM approach for solving decision problems. The proposed approach integrates statistical variance (SV), improved techniques for order preference by similarity to an ideal solution (TOPSIS), simple additive weighting (SAW), and Delphi-AHP to determine the integrated weights of the attributes and decision-makers (DMs). The method considers both the objective weights of the attributes and DMs, as well as the subjective preferences of the DMs and their identity differences, thereby making the decision results more accurate and theoretically reasonable. A numerical example is given to illustrate the practicability and usefulness of the approach and its suitability as a decision-making tool for a firm using of cloud computing services. This paper enriches the theory and methodology of the selection problem of cloud computing vendoring and MAGDM analysis. (C) 2016 Elsevier Ltd. All tights reserved.