A Descriptive Literature Review and Classification of Cloud Computing Research

We present a descriptive literature review and classification scheme for cloud computing research. This includes 205 refereed journal articles published since the inception of cloud computing research. The articles are classified based on a scheme that consists of four main categories: technological issues, business issues, domains and applications, and conceptualising cloud computing. The results show that although current research is still skewed towards technological issues, new research themes regarding social and organisational implications are emerging. This review provides a reference source and classification scheme for IS researchers interested in cloud computing, and to indicate under-researched areas as well as future directions

Where are we at with Cloud Computing?: A Descriptive Literature Review

Cloud computing is an exciting area for research, because of its relative novelty and exploding growth. In this paper, we present a descriptive literature review and classification scheme for cloud computing research. The former consists of 58 articles published since the recent inception of cloud computing. Clearly, there is an explosively increasing amount of cloud computing research has been conducted this year. The articles are classified and results are presented, based on a scheme that consists of four main categories: technological issues, business issues, applications, and general. The results show that although current cloud computing research is still skewed towards technological issues, such as performance, network, and data management, new research theme regarding the social and organisational implications of cloud computing is emerging. We hope this review will provide a snapshot and reference source of the current state of cloud computing research and stimulate further research interest

Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm

Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This paper investigates this issue in depth and then develops a predictive analytic framework for integrating cloud computing, big data analysis, business informatics, communication technologies, and digital industrial production systems. Computational intelligence in the form of a cluster k-means approach is used to manage relevant big data for feeding potential customer needs and wants to smart designs for targeted productivity and customized mass production. The identification of patterns from big data is achieved with cluster k-means and with the selection of optimal attributes using genetic algorithms. A car customization case study shows how it may be applied and where to assign new clusters with growing knowledge of customer needs and wants. This approach offer a number of features suitable to smart design in realizing Industry 4.0

What role does corporate governance play in the intention to use cloud computing technology?

This paper aims to investigate the factors which promote the adoption of cloud-based technology. It strives for a better understanding of the impact of corporate governance on the adoption of this technology. This study concentrated on executives in companies where the use of cloud computing may give a competitive advantage. The main contribution of this work is to propose a model for the influence of corporate governance and other factors that determine the adoption of this technology. A questionnaire was prepared after taking into consideration the reviewed literature. The sample consisted of 164 technology companies from Southern Spain that already use the new economic models for digital solutions. The methodology used to analyze the structural model was the Structural Equation Model (SEM). The results of the survey showed the influence of Corporate Governance and the procedures and practices of the organization on the adoption of cloud computing and the associated business model. This study aims to point out the importance of corporate support and Knowledge Management for the correct and successful adoption of this technology and to show the effects on the new business model of billing for the use of available resources. View Full-Tex

A bibliometric study of the research area of videogames using Dimensions.ai database

Videogames are a very interesting area of research for fields as diverse as computer science, health, psychology or even social sciences. Every year a growing number of articles are published in different topics inside this field, so it is very convenient to study the different bibliometric data in order to consolidate the research efforts. Thus, the aim of this work is to conduct a study on the distribution of articles related to videogames in the different fields of research, as well as to measure their interest over time, to identify the sources, countries and authors with the highest scientific production. In order to carry out this analysis, the information system Dimensions.ai has been considered, since it covers a large number of documents and allows for easy downloading and analysis of datasets. According to the study, three countries are the most prolific in this area: USA, Canada and UK. The obtained results also indicate that the fields with the highest number of publications are Information and Computer Sciences, Medical and Health Sciences, and Psychology and Cognitive Sciences, in this order. With regard to the impact of the publications, differences between the number of citations, and the number of Altmetric Attention Score, have been found