A Literature Review on Cloud Computing Adoption Issues in Enterprises

Part 3: Creating Value through ApplicationsInternational audienceCloud computing has received increasing interest from enterprises since its inception. With its innovative information technology (IT) services delivery model, cloud computing could add technical and strategic business value to enterprises. However, cloud computing poses highly concerning internal (e.g., Top management and experience) and external issues (e.g., regulations and standards). This paper presents a systematic literature review to explore the current key issues related to cloud computing adoption. This is achieved by reviewing 51 articles published about cloud computing adoption. Using the grounded theory approach, articles are classified into eight main categories: internal, external, evaluation, proof of concept, adoption decision, implementation and integration, IT governance, and confirmation. Then, the eight categories are divided into two abstract categories: cloud computing adoption factors and processes, where the former affects the latter. The results of this review indicate that enterprises face serious issues before they decide to adopt cloud computing. Based on the findings, the paper provides a future information systems (IS) research agenda to explore the previously under-investigated areas regarding cloud computing adoption factors and processes. This paper calls for further theoretical, methodological, and empirical contributions to the research area of cloud computing adoption by enterprises

Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

Tracing the Clouds. A research taxonomy of cloud-ERP in SMEs

Cloud computing is an enabler and accelerator of digital transformation, which has brought many advantages that only large companies had before for any start-up and small firm could benefit. Cloud-based computing in the form of SaaS (Software as a Service) has given rise to a revolutionary new way of delivering software applications via the Internet on a pay-per-use basis. Cloud-ERP (Enterprise Resource Planning) solutions have become more affordable, easier to implement, simpler to maintain, and thus especially suitable for small and medium-sized enterprises (SMEs), which have limited resources and may not be willing to invest in on-premise solutions. Employing this technology empowers integrated management of business processes and has the potential to add technical and strategic business value for small businesses. Given the claimed significance of SMEs in a structure of the world economy, we embarked on a detailed study of the existing published literature to determine the status quo of research on cloud-ERP technology in SMEs and how it has evolved in terms of quantity, content, and publication outlets. This is achieved by systematically reviewing 74 articles from 43 journals and 22 conferences published between 1 January 2010 and 30 June 2019. Using the ERP life-cycle-based framework by Esteves and Pastor (1999), articles are classified according to six life-cycle phases: adoption decision, acquisition, implementation, use and maintenance, evolution, and retirement. The findings, derived from a meta-analysis, illustrate that while current literature and studies related to the adoption decision phase are very rich, research on other phases of the ERP life cycle lacks strong empirical validation, due to a limited amount of publications. This study presents a comprehensive, structured literature review on cloud-based ERP adoption among SMEs and provides both academics and practitioners with a holistic view of the state of the current body of knowledge on the topic along with an understanding of how cloud-ERP in SMEs research is evolving

Antecedents of Cloud Computing Adoption in the Malaysian context: A Systematic Literature Review

In a competitive marketplace, the competitiveness and survival of any corporation are often attributed to its ability to adopt innovative technology which bestows a competitive edge and reduced costs, improves the quality and the efficiency of its business processes. Cloud computing is a platform for the development of computational solutions for multiple fields of knowledge, as it offers cost-saving mechanisms and increased efficiency to organisations. Despite its maturity and enhancement, reviews pertaining to antecedents of cloud computing adoption in the Malaysian context are scarce. Thus, a systematic literature review using Scopus database for retrieving the related articles was carried out to shed light on the antecedents of cloud computing adoption in the Malaysian context. The review revealed that the antecedents influencing cloud computing adoption include technological context elements (relative advantages, technological readiness, cost-saving, and compatibility), organisational context elements (top management support), and environmental context elements (competitive pressure, external support/trading partner support/regulatory support, vendor reputation and trust). Understanding the antecedents of cloud computing adoption is crucial towards strengthening cloud computing adoption and, in turn, will improve the performance and competitiveness of corporate sectors. &nbsp

Moving enterprise resource planning (ERP) systems to the cloud: the challenge of infrastructural embeddedness

Cloud enterprise resource planning (ERP) solutions allow organizations to support and coordinate key business processes by leveraging virtualization. Nevertheless, moving ERPs to the cloud is not straightforward, and organizational cloud ERP initiatives raise multiple concerns. We conducted an in-depth systematic review of relevant research literature and identified six key concerns related to cloud ERP implementation: a) the introduction of new ERP work arrangements, launch b) the migration of legacy data, c) the assurance of compliance with extant rules and regulations for security, d) the continuous alignment between ERP functionality and business processes, e) the ongoing integration between ERPs and the rest of the organization’s application portfolio, and f) the establishment of adequate reliability levels. The identified concerns are associated with both transition management and operations supported by cloud ERPs. All the identified concerns are also related to the need to achieve infrastructural embeddedness. This need sets ERPs apart from other types of cloud-based applications, such as office automation solutions that do not have as many dependencies and exchanges with other systems and repositories within an organization’s information infrastructure. We argue that the challenge of embeddedness has different implications for organizations of different sizes, and we call for further empirical research.publishedVersio

Moving enterprise resource planning (ERP) systems to the cloud: the challenge of infrastructural embeddedness

Cloud enterprise resource planning (ERP) solutions allow organizations to support and coordinate key business processes by leveraging virtualization. Nevertheless, moving ERPs to the cloud is not straightforward, and organizational cloud ERP initiatives raise multiple concerns. We conducted an in-depth systematic review of relevant research literature and identified six key concerns related to cloud ERP implementation: a) the introduction of new ERP work arrangements, launch b) the migration of legacy data, c) the assurance of compliance with extant rules and regulations for security, d) the continuous alignment between ERP functionality and business processes, e) the ongoing integration between ERPs and the rest of the organization’s application portfolio, and f) the establishment of adequate reliability levels. The identified concerns are associated with both transition management and operations supported by cloud ERPs. All the identified concerns are also related to the need to achieve infrastructural embeddedness. This need sets ERPs apart from other types of cloud-based applications, such as office automation solutions that do not have as many dependencies and exchanges with other systems and repositories within an organization’s information infrastructure. We argue that the challenge of embeddedness has different implications for organizations of different sizes, and we call for further empirical research

The Context of Cloud Computing/Services Adoption in Business: A Systematic Review with Activity Theory perspective

Cloud computing has been established as a prominent research topic with the rise of a ubiquitous provision of computing resources over the last decade. According to literature review, previous studies are found focusing on the technical issue mostly; however, accompanying with the cloud service developing progress, there are a wide range of applications for adopting cloud computing/services and without an overall comprehension. This study aims to proposed a conceptual framework to systematically explore the activities and elements related to cloud computing/services adoption in business. The research framework is found useful for understanding the context of cloud computing and services and the preliminary findings are helpful to further explore the related activities and relationships behind on cloud computing/services adoption in business

Moving enterprise resource planning (ERP) systems to the cloud: the challenge of infrastructural embeddedness

Cloud enterprise resource planning (ERP) solutions allow organizations to support and coordinate key business processes by leveraging virtualization. Nevertheless, moving ERPs to the cloud is not straightforward, and organizational cloud ERP initiatives raise multiple concerns. We conducted an in-depth systematic review of relevant research literature and identified six key concerns related to cloud ERP implementation: a) the introduction of new ERP work arrangements, b) the migration of legacy data, c) the assurance of compliance with extant rules and regulations for security, d) the continuous alignment between ERP functionality and business processes, e) the ongoing integration between ERPs and the rest of the organization’s application portfolio, and f) the establishment of adequate reliability levels. The identified concerns are associated with both transition management and operations supported by cloud ERPs. All the identified concerns are also related to the need to achieve infrastructural embeddedness. This need sets ERPs apart from other types of cloud-based applications, such as office automation solutions that do not have as many dependencies and exchanges with other systems and repositories within an organization’s information infrastructure. We argue that the challenge of embeddedness has different implications for organizations of different sizes, and we call for further empirical research