Investing in cloud computing technology is one of the latest trends in IT. This is a multi criteria investment decision involving many stakeholders and a sequence of coordinated assessment activities that are strategic, qualitative (technical) and quantitative (financial) in nature. This paper integrates an information system (IS) success model with preference elicitation techniques drawn from the multi-criteria decision-making literature. We also show how this decision model can be extended as a vendor negotiation tool. Finally, we describe a prototype Decision Support System (DSS) featuring this model. © Springer International Publishing Switzerland 2015.

Rangaraja P. Sundarraj

Department of Management Studies

Sathyanarayanan Venkatraman

Artificial Intelligence

cloud computing

Clouds

decision making

Decision support systems

Investments

BUSINESS VALUE OF IT

Decision supports

GROUP DECISION

IS SUCCESS MODEL

IT EVALUATION

MCDM

NEGOTIATIONS

Distributed computer systems

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

On Integrating an IS Success Model and Multicriteria Preference Analysis into a System for Cloud-Computing Investment Decisions

Lecture Notes in Business Information Processing

SMEs play a very vital role in each market by significantly contributing to each country's gross domestic product (GDP) and labour market. Therefore, proposing new strategies or developing new systems that can help SMEs become more efficient and productive is not only beneficial for SMEs but also for the economy of a country as a whole. The decision about cloud computing adoption is crucial for every manufacturing firm. However, the selection on an appropriate system may prove difficult, especially for small and medium manufacturing enterprises which may not have sufficient economic and human resources to properly implement the system. The present study aims to provide a systematic approach towards the cloud computing adoption. It is worth noting to determine the decisive factors in adoption of cloud computing adoption and to weight them. In this paper, analytic hierarchy process (AHP) is applied to find the importance degree of each criterion and as the measurable indices of the cloud computing adoption. This study considers nine criteria with 51 sub-criteria, which has somewhat already been used, and establishes a ranking model that provides decision makers to assess the factors prior the adoption of cloud computing. © 2017 Inderscience Enterprises Ltd.

International Journal of Business Information Systems

To identify the critical success factors for cloud computing adoption by MCDM technique

On integrating an IS success model and multicriteria preference analysis into a system for cloud-computing investment decisions

Journal	Data powered by TypesetLecture Notes in Business Information Processing
Publisher	Data powered by TypesetSpringer Verlag
ISSN	18651348
Open Access	No