Cloud Computing Adoption: A Literature Review on What Is New and What We Still Need to Address

Research on cloud computing (CC) recently emerged congruently with the technology’s importance for organizations at a fast pace. This makes it difficult for practitioners to obtain a consolidated overview of what determines CC adoption based on the numerous papers in this regard. Moreover, for further research in the field to add value, it is necessary to identify what still needs to be addressed. In this vein, we conducted a descriptive review of 39 papers, integrating the results of a previous review on 23 papers from 2014, to compare findings across studies. We identify 44 determinant factors that exhibit consistent directional influence on the dependent meta-variable “CC adoption”, extending previous literature reviews with regard to asset, client, and environmental characteristics. We then critically reviewed the research landscape to identify what is there, and what is not yet covered: Future research should specifically regard the adoption of Infrastructure-, Platform-, and Everything-as-a-Service, private, hybrid, and multi-cloud deployment, investigate vendor, solution, and individual characteristics, analyzing information systems, or the decision-maker

Differential Adoption of Cloud Technology: A Multiple Case Study of Large Firms and SMEs

Firms across the industry segments have been exploring cloud computing to derive benefits out of its technological features. Even though literature pertaining to cloud adoption by firms exists, the factors based on cloud-specific characteristics are mostly anecdotal in nature. Following a multiple case study approach, we identify factors specific to cloud technology adoption by firms. We further explain the differential adoption of the cloud between large and small firms. Overall we obtained 11 variables that differentiate large firms and SMEs in their adoption behaviour. We further contribute to theory by mapping the extracted variables of cloud adoption to Diffusion of innovation theory (DOI) and Technology organization Environment framework (TOE)

Exploring of Potential of Cloud Computing for Small and Medium Enterprises

Business activities such as human resources management, payroll, finance, and accounting are crucial for Small and Medium Enterprises (SMEs). Therefore, adopting technologies such as cloud computing is expected to improve SMEs’ efficiency. The migration from current business practices to cloud computing amongst SME entrepreneurs remains a challenge. Therefore, this study presents a short review of cloud computing concepts, the characteristics, types of cloud computing service models, and also cloud computing deployment models. This study highlights the benefits and challenges faced by SMEs entrepreneurs in adopting cloud computing. Also, this study explores the existing cloud computing services provided for SMEs. The present study aims to provide a better understanding of cloud computing’s potential to be applied in helping SMEs manage their business activities

Determinants of Cloud Computing Adoption: A Comparative Study

Background: This study investigates the determinants that influence the user\u27s behavioral intention to use cloud computing in adopter and non-adopter firms. The research model is based on the theory of the Valence Framework of Behavioral Beliefs and Technology Acceptance Model (TAM). The present study examined the factors of perceived ease of use, perceived usefulness, perceived ubiquity, perceived benefits, perceived costs and perceived risks in determining behavioral intention to use cloud computing for the adopter and non-adopter firms. Method: Data were collected using a questionnaire-based survey method. The valid responses received were 458. The sample size of adopters and non-adopter of cloud computing were 239 and 219, respectively. Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM) was used for data analysis. Data analysis was done separately for both samples of the adopter and non-adopter firms The results showed that, for adopters firms, perceived usefulness, perceived ease of use, ubiquity, perceived benefits, and perceived risks were found to have a significant and direct influence on behavioral intention to use cloud computing. For non-adopters, perceived usefulness, perceived ubiquity, perceived benefits, perceived costs, and perceived risks were found to have a significant and direct influence on behavioral intention to use cloud computing. A comparison testing was also performed by examining the difference in the strength of path coefficients between adopters and non-adopters firms. Results: The findings showed that the impact of favorable factors of perceived ubiquity and perceived benefits were found relatively more significant in the case of adopter firms than negative factors. Likewise, the impact of negative factors of perceived risks and perceived costs were found relatively more significant in the case of non-adopter firms. Conclusions: The major contribution of this study is that it contributes to the understanding of progressive changes in the impact of behavioral beliefs and cognitive factors on behavioral intention to use cloud computing in adopter and non-adopter firms. This study also provides managers\u27 practical understandings for cloud computing adoption during each phase of the adoption process. Available at: https://aisel.aisnet.org/pajais/vol11/iss3/3

Understanding the determinants affecting the continuance intention to use cloud computing

Cloud computing has been progressively implemented in the organizations. The purpose of the paper is to understand the fundamental factors influencing the senior manager’s continuance intention to use cloud computing in organizations. A conceptual framework was developed by using the Technology Acceptance Model (TAM) as a base theoretical model. A questionnaire was used to collect the data from several companies in IT, manufacturing, finance, pharmaceutical and retail sectors in India. The data analysis was done using structural equation modeling technique. Perceived usefulness and perceived ubiquity are identified as important factors that affect continuance intention to use cloud computing. In addition, perceived ease of use is found having indirect influence through perceived usefulness. The validated model can be used as a framework for managers to ensure successful implementation of cloud computing. The study extended TAM by incorporating additional variables like perceived ubiquity, perceived costs and perceived risks to explore the determinants of continued intention to use cloud computing

Infrastructure-as-a-Service Usage Determinants in Enterprises

The thesis focuses on the research question, what the determinants of Infrastructure-as-a-Service usage of enterprises are. A wide range of IaaS determinants is collected for an IaaS adoption model of enterprises, which is evaluated in a Web survey. As the economical determinants are especially important, they are separately investigated using a cost-optimizing decision support model. This decision support model is then applied to a potential IaaS use case of a large automobile manufacturer

IS Success Model for Evaluating Cloud Computing for Small Business Benefit: A Quantitative Study

Information system (IS) success has been extensively researched to frame key attributes of an information system or technology to understand its benefit to business. One definition of IS success is the adoption and extensive use of an information system (Robey & Zeller, 1978). In the present era of cloud computing, as in former IS eras, successful implementation is critical for achieving business success in all enterprise types. IS success is also described as a lagging multifaceted measure of technology effectiveness for a business. Early adopters of a new technology are a rich resource to determine benefits for later adopters, and this is true for those businesses looking to implement cloud computing. This is critically important for small businesses. Cloud computing is characterized as a 21st century model of acquiring computational resources and services through convenient on-demand provisioning mechanisms via a shared network (Mell & Grance, 2010, p. 50). With the resource challenges of small businesses, the selection of a particular cloud computing model can result in business success or calamity. Many small businesses realize they need to make key investments in the latest technologies to advance their business, but many have one opportunity to make the best choice and to do it right. Small businesses typically operate with limited capital resources to invest in new IS technologies, as well as fund their ongoing upgrades, enhancements, and support. The intent of this research study is to define an IS framework that small businesses can use to determine the benefits of a particular cloud computing solution before adoption, based on the efforts of select small businesses that are early adopters of cloud computing. This research will determine the essential features and attributes that enable cloud computing success for small businesses in their targeted marketplaces. The primary success constructs of this study will focus on the overall cloud quality, experience, and benefit. The results of this research will lead to an enhanced IS success model that will enable small businesses to target specific cloud-based computing services that align with their business requirements to enable them to achieve business success

Let’s cloud with me! Users’ willingness to use cloud computing services as a function of social norms

Purpose: The current study is theoretically grounded in the Technology Acceptance Model (TAM) and Social Influence Theory. It attempts to explain how acts of others influence attitudes and behaviors of individuals in the context of the adoption of cloud computing services. Methodology: The present study used the convenience sampling technique to conduct empirical research. Data collection was performed via an online survey. We used Partial Least Squares Structural Equation Modelling (PLS-SEM) to test the proposed research model. Results: Our findings suggest that a favorable social norm towards cloud computing services produces a positive and statistically significant effect on perceived ease of use, perceived usefulness, and willingness to use cloud computing services. In terms of mediating the role of perceived ease of use and perceived usefulness, findings revealed that perceived ease of use mediates the relationship between social norms and willingness to use cloud computing services. Conclusion: The present study advances our understanding of the role of social influence and individual perceptions of technology (i.e., usefulness and ease of use) in the intention to use technology in the cloud computing context

Online Store Locator: An Essential Resource for Retailers in the 21st Century

Most retailers use their websites and social media to increase their visibility, while potential customers get information about these retailers using the Internet on electronic devices. Many papers have previously studied online marketing strategies used by retailers, but little attention has been paid to determine how these companies provide information through the Internet about the location and characteristics of their stores. This paper aims to obtain evidence about the inclusion of interactive web maps on retailers’ websites to provide information about the location of their stores. With this purpose, the store locator interactive tools of specialty retailers’ websites included in the report “Global Powers of Retailing 2015” are studied in detail using different procedures, such as frequency analysis and word clouds. From the results obtained, it was concluded that most of these firms use interactive maps to provide information about their offline stores, but today some of them still use non-interactive (static) maps or text format to present this information. Moreover, some differences were observed among the search filters used in the store locator services, according to the retailer’s specialty. These results provided insight into the important role of online store locator tools on retailers’ websites

CLOUD COMPUTING BASED INFRASTRUCTURE IN EDUCATION: INVESTING INTO THE PRIVATE INFRASTRUCTURE OR USING OUTSOURCING SERVICES

The main challenge for higher education in the nearest future is the global competitiveness, as the present global market requires the higher schools to present their courses in the international level. Thus, traditional universities must adapt educational infrastructures in response with the global requirement. Outsourcing of cloud computing based services increased over the years. The solutions allow not only create more effective teaching methods and new communication chances for the whole education society, but also to reduce costs of installing and maintaining programs.Aim of the article is to prepare a cost/benefit case analysis between investing into the private information and communication technology infrastructure and using outsourcing services. This paper focuses attention on cloud computing based information and communication technology infrastructures of two higher education institutions.Research methods include analysis of scientific literature, review of legal institutional documentation and reports and interviews with institutional representatives about education practices