Abstract:Cloud computing provides a way to coordinate and share relevant information and data on real-time basis over an organization. The adoption of cloud services is one of the most emerging technological advances in the practice of current competitive business environment. The research done in this article is based on the analysis of the data obtained from the semiconductor sector. Cloud adoption would most likely be the best answer for them. However, because of various types of complexities, semiconductor industri… Show more
“…Rahi et al 34 have also confirmed the impact of trust issues on the technological success factors of cloud services adoption in semiconductor firms. Elmonem et al 33 studied cloud computing applications for ERP systems and found out the performance risks along with security risks, customization, and integration as those challenges which topped the list of cloud ERP adoption challenges continuously every year during 2011 to 2016.…”
Section: Literature Reviewmentioning
confidence: 82%
“…Elmonem et al 33 studied cloud computing applications for ERP systems and found out the performance risks along with security risks, customization, and integration as those challenges which topped the list of cloud ERP adoption challenges continuously every year during 2011 to 2016. Rahi et al 34 have also confirmed the impact of trust issues on the technological success factors of cloud services adoption in semiconductor firms.…”
Cloud computing and cloud applications are emerging as the latest technology.Cloud applications are developing very fast and adopted by most of the firms around the globe. The cloud applications are widely accepted and considered as a notion of the digitized era, but the cloud product lifecycle management (PLM) is not adopted much in Indian firms. Cloud PLM is an upcoming cloud application, but its adoption entails various challenges. Considering this fact, the paper aims to empirically investigate the critical challenges encountered by many firms for migration to of cloud PLM. A multicriteria decision making method, grey Decision Making Trial and Evaluation Laboratory along with interpretive structural modeling are employed to identify the causal challenges and their hierarchy to cloud PLM adoption. This empirical study brings out "data security" and "trust on solution provider" as the most important and critical challenges for migration to cloud PLM adoption. The findings may act as a guide for the managers in manufacturing firms in identifying the critical challenges to utilize the benefits of cloud PLM over on-premise PLM systems.
“…Rahi et al 34 have also confirmed the impact of trust issues on the technological success factors of cloud services adoption in semiconductor firms. Elmonem et al 33 studied cloud computing applications for ERP systems and found out the performance risks along with security risks, customization, and integration as those challenges which topped the list of cloud ERP adoption challenges continuously every year during 2011 to 2016.…”
Section: Literature Reviewmentioning
confidence: 82%
“…Elmonem et al 33 studied cloud computing applications for ERP systems and found out the performance risks along with security risks, customization, and integration as those challenges which topped the list of cloud ERP adoption challenges continuously every year during 2011 to 2016. Rahi et al 34 have also confirmed the impact of trust issues on the technological success factors of cloud services adoption in semiconductor firms.…”
Cloud computing and cloud applications are emerging as the latest technology.Cloud applications are developing very fast and adopted by most of the firms around the globe. The cloud applications are widely accepted and considered as a notion of the digitized era, but the cloud product lifecycle management (PLM) is not adopted much in Indian firms. Cloud PLM is an upcoming cloud application, but its adoption entails various challenges. Considering this fact, the paper aims to empirically investigate the critical challenges encountered by many firms for migration to of cloud PLM. A multicriteria decision making method, grey Decision Making Trial and Evaluation Laboratory along with interpretive structural modeling are employed to identify the causal challenges and their hierarchy to cloud PLM adoption. This empirical study brings out "data security" and "trust on solution provider" as the most important and critical challenges for migration to cloud PLM adoption. The findings may act as a guide for the managers in manufacturing firms in identifying the critical challenges to utilize the benefits of cloud PLM over on-premise PLM systems.
“…modeling cloud technology adoption in organizations S42 (Ho et al, 2017) Trust or consequences? Causal effects of perceived risk and subjective norms on cloud technology adoption S43 (Hsieh, 2015) Health-care professionals' use of health clouds: Integrating technology acceptance and status quo bias perspectives S44 (Hsieh, 2016) An empirical investigation of patients' acceptance and resistance toward the health cloud: The dual factor perspective S45 (Hsieh and Lin, 2018) Explaining resistance to system usage in the PharmaCloud: A view of the dual-factor model S46 (Hsu and Lin, 2016) Factors affecting the adoption of cloud services in enterprises S47 (Huang, 2016) The factors that predispose students to continuously use cloud services: Social and technological perspectives S48 (Isaias et al, 2015) Outlining the issues of cloud computing and sustainability opportunities and Risks in European organizations: A SEM Study S49 (Jede and Teuteberg, 2016) Understanding socio-technical impacts arising from softwareas-a-service usage in companies (continued) A survey study on major technical barriers affecting the decision to adopt cloud services S69 (Priyadarshinee et al, 2017) Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM-Neural networks approach S70 (Qin et al, 2016) Evaluating the usage of cloud-based collaboration services through teamwork S71 (Rahi et al, 2017) Identifying the moderating effect of trust on the adoption of cloud-based services S72 (Ratnam et al, 2014) A structural equation modeling approach for the adoption of cloud computing to enhance the Malaysian health-care sector (continued) (Ratten, 2016a) Continuance use intention of cloud computing: Innovativeness and creativity perspectives S75 (Ratten, 2016b) Service innovations in cloud computing: a study of top management leadership, absorptive capacity, government support, and learning orientation S76 (Raut et al, 2018) Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach S77 (Sabi et al, 2016) Conceptualizing a model for adoption of cloud computing in education S78 (Sabi et al, 2017) A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa S79 (Sabi et al, 2018) Staff perception towards cloud computing adoption at universities in a developing country S80 (Schniederjans and Hales, 2016) Cloud computing and its impact on economic and environmental performance: A transaction cost economics perspective S81 (Senarathna et al, 2016) Securit...…”
Purpose
This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design.
Design/methodology/approach
Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions.
Findings
A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors.
Originality/value
Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.
“…Perhaps the greatest worry with cloud data storage is the verification of data integrity at untrusted servers, and how to manage sensitive information. It's not that easy task to keep up client's most sensitive data in cloud environment safely, which is required in numerous applications for clients [18].…”
Section: Integritymentioning
confidence: 99%
“…Integrity ought to be checked at the data and computation level. Data Integrity could help in getting lost data or telling if there is any unauthorized data manipulations [18,19].…”
Internet users are increasing at a logarithmic scale. Users are producing huge amount of data everyday across the world which is creating huge amount of data traffic. In this context data capturing , data analysis and the analysis sending it back to the stake holders is order of the day. In this scenario cloud plays an important role in big business. When cloud is playing an important role, users are using the cloud by generating data they are actually sending that data to the cloud. Here instantaneous information transformation from users to the cloud is one of the important component that is everyday happening today. Whatever data that is being produced should reside in the cloud. Whatever data which is available in the cloud should be available to the user back. This is the basic requirement as far as the users and maintainers of the cloud is concerned. In this context Trust plays an important role. In this paper we will address all the issues related to Trust, which are to be considered when someone wants to develop a trust model for cloud environment..
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