2016
DOI: 10.1007/s12599-016-0429-1
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Understanding Socio-Technical Impacts Arising from Software-as-a-Service Usage in Companies

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Cited by 7 publications
(5 citation statements)
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“…This hybrid method allowed researchers to overcome the subjectivity of other synthesis methods in the evaluation and interpretation of the results. In line with previous contributions, this study extracts topics and dimensions from a huge number of articles automatically and methodically using text mining and topic modeling (Bigliardi et al, 2020; Ćurlin et al, 2019; Jede & Teuteberg, 2015). This approach is ideal for identifying unbiased and content‐oriented patterns in the articles about a complex scientific phenomenon as the synergy between Industry 4.0 and sustainability.…”
Section: Methodsmentioning
confidence: 66%
“…This hybrid method allowed researchers to overcome the subjectivity of other synthesis methods in the evaluation and interpretation of the results. In line with previous contributions, this study extracts topics and dimensions from a huge number of articles automatically and methodically using text mining and topic modeling (Bigliardi et al, 2020; Ćurlin et al, 2019; Jede & Teuteberg, 2015). This approach is ideal for identifying unbiased and content‐oriented patterns in the articles about a complex scientific phenomenon as the synergy between Industry 4.0 and sustainability.…”
Section: Methodsmentioning
confidence: 66%
“…The access control issues faced in MyMesyuarat require effective planning and practical data security solutions are given that the MyMesyuarat data for all agencies are stored in the same data center controlled by providers. To ensure that access control complies with the established standards, security and SaaS integration experts should be consulted on specific issues, and then providers should list down and take the necessary actions sequentially (Jede and Teuteberg, 2016). Practical solutions can be identified by assessing SaaS security threats among users and reviewing the reporting metrics, levels of access control, appropriateness of system data controlled by the agency oversight, and data priority (Patell and Rekha, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…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...…”
Section: Final Pool Of Articlesmentioning
confidence: 99%