Mengxiang Li

Cloud computing adoption decision modelling for SMEs: From the PAPRIKA perspective

The popularity of cloud computing has been growing among enterprises since its inception. It is an emerging technology which promises competitive advantages, significant cost savings, enhanced business processes and services, and various other benefits. The aim of this paper is to propose a decision modelling using Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) for the factors that have impact in SMEs cloud computing adoption process.

Cloud computing adoption decision modelling for SMEs: a conjoint analysis

Cloud computing is an emerging technology that promises competitive advantages, cost savings, enhanced business processes and services, and various other benefits to enterprises. Despite the rapid technological advancement, the adoption of cloud computing is still growing slowly among small and medium-sized enterprises SMEs. This paper presents a model to support the decision-making process, using a multi-criteria decision method PAPRIKA for the socio-technical aspects influencing SMEs cloud adoption decision. Due to the multifaceted nature of the cloud computing adoption process, the evaluation of various cloud services and deployment models have become a major challenge. This paper presents a systematic approach to evaluating cloud computing services and deployment models. Subsequently, we have conducted conjoint analysis activities with five SMEs decision makers as part of the distribution process of this decision modelling based on predetermined criteria. With the help of the proposed model, cloud services and deployment models can be ranked and selected.

Misalignment between business and IT strategic objectives in Saudi Arabia public sector organisations

Business-IT strategy misalignment is increasingly an important area of concern and interest in organisations around the world including Saudi Arabia (SA). Indeed, the SA government has launched the National Digital Transformation Strategy for 2030 to support all public-sector organisations to improve efficiency and performance. This research aimed to identify and analyse the factors that contribute to business/IT strategy misalignment in Saudi public-sector organisations. This research focused emerged from the need to better understand the business and IT models incorporated in the organisations Saudi Arabia to achieve high performance, quality of service (QoS) and return of investment (ROI). Using a qualitative study design that included semi-structured interviews with eight executive and managerial staff from five public-sector organisations in Saudi Arabia, this study found human, operational and IT system factors all have the potential to contribute to business-IT strategy misalignment. It also found the approaches to misalignment avoidance in Saudi public-sector organisations sometimes lack structure and consistency.

A Consumer-Oriented Decision-Making Approach for Selecting the Cloud Storage Service: From PAPRIKA Perspective

In recent years there is a growth in the number of companies that offers cloud storage solutions. From user’s perspectives, it is becoming a challenging task to choose which cloud storage to use and from whom, based on user’s needs. In this context, no framework can evaluate the decision criteria for selection of cloud storage services. This paper proposes a solution to this problem by identifying the cloud storage criteria and introduces the PAPRIKA approach for measuring the criteria of cloud storage based on client’s preference. This work demonstrated the applicability of the framework (decision model) by testing it with eleven users of cloud storage services. The results showed that the model could help users in making a more informative decision about cloud storage services.