Assessing the role of IT-enabled process virtualization on green IT adoption

Thomas, Manoj A.; Costa, Daniela; Oliveira, Tiago

doi:10.1007/s10796-015-9556-3

Cited by 53 publications

(40 citation statements)

References 85 publications

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“…Analysing the existence of competitive pressures that may trigger SNS adoption by organizations (H7) was also a goal of this research. As already reported by other authors studying the adoption of other IT/IS related technologies (Chang et al, 2013;Chatterjee et al, 2002;Thomas et al, 2015), concerning the adoption of social networks sites at firm level, we confirm that the presence of competitive pressures positively impacts the adoption of SNS for business purposes. These pressures typically arise from the early adoption of SNS by competitors, which tends to create an erroneous perception that in order to maintain their competitive levels firms must imitate the rapid adoption of SNS, and the perception that competitors hold the knowledge about how to use SNS and are taking full advantage of their use.…”

Section: Environment Contextsupporting

confidence: 89%

Understanding the determinants of social network sites adoption at firm level: A mixed methodology approach

Martins

Oliveira

Cota

et al. 2016

Electronic Commerce Research and Applications

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The incredible numbers associated with social network sites makes technology a very attractive element in the eyes of organizations. Despite this, the existing scholarly literature does not demonstrate sufficient knowledge on how firms should adopt and use these technologies. With this lack in mind, a study was conducted aiming to understand what might be the determinants with the most influence on the SNS adoption process at firm level. the study was performed making use of a mixed methodology approach. In order to achieve an initial list of variables that might have a significant level of relative importance (RI) to the adoption of SNS, a Delphi study was designed and executed through the inclusion of 25 experts in the IT/IS area. From the Delphi results, a proposal for an adoption model that characterized the adoption of SNS at firm level was designed and validated through an empirical study. This empirical approach revealed that the proposed model explained 65% of variation in SNS adoption at firm level. The active involvement of top management, the alignment of the SNS plan with the firm's business plan, the existence of competitive pressures, and the use of SNS for gaining competitive advantages are the determinants with the most influence on technology adoption by firms.

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Section: Environment Contextsupporting

confidence: 89%

Understanding the determinants of social network sites adoption at firm level: A mixed methodology approach

Martins

Oliveira

Cota

et al. 2016

Electronic Commerce Research and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Mobile supply chain [93] Radio frequency identification (RFID) [94][95][96] Green IT [92,97] Interorganizational business process standards [98] E-business [86,99,100] SaaS [101] Cloud computing [102,103] DOI DOI theory [104] gives a detailed explanation on the diffusion of innovation within an organization. According to DOI theory, an innovation undergoes a number of stage procedures until it thrives in the firm [105].…”

Section: Toementioning

confidence: 99%

“…Based on the theoretical and conceptual background outlined previously, this research used a method that complements existing constructs in the DOI model through the lens of the TOE framework using constructs from the previous empirical literature on adoption research (see Table 2) to the context of IS adoption in HEIs. The importance of using these theoretical perspectives gives a theoretical basis to assess the task, organization, technology, and environment characteristics that affect CC adoption in HEIs, and this has received empirical support consistently [71,[82][83][84]93,97,110,154,155]. To be able to include the various and wide list of factors from past search and filter them, we undertook a process of collaborating, matching, filtering, and consolidating for all the information and ideas from the past studies, discussed in the literature review [156,157].…”

Section: Research Modelmentioning

confidence: 99%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.

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“…The proposed framework examines how these initiatives' structures, organizational attributes, and environment may influence this process. Thomas et al (2015) find explaining the adoption of Green IT. They evaluate the adoption stages of Green IT.…”

Section: Literature Reviewmentioning

confidence: 98%

Evaluation of Green IT services with Fuzzy Screening approach

Shokouhyar

Noorbakhsh²,

Aalirezaei

2017

AJIS

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Regarding development of Information Technology, the world of industry has inordinately benefited, albeit that has some losses. Unless the losses are considered, advanced losses will be seen after progress with which is more difficult to cope. Neglecting the future and the risk involved in the industry, not to mention the lack of knowledge in dealing with sudden alterations, compel irrecoverable loss. In this context, information technology services in organizations are aimed to be cost-effective and have minimum environmental impact, according to green information technology strategies. Concerning significance of the issue, purpose of this research is assessment of information technology services with respect to greenness level in a general contractor organization by combination of Fuzzy Analytic Hierarchy Process and Fuzzy Screening Procedure to enhance the greenness level of IT services. The effectiveness of using this approach is including qualitative, quantitative, and uncertainty nature of the problem. In this paper, to consider the Green IT services criteria, literatures have been studied by meta-synthesis method, then the importance of the criteria has been determined by questionnaires so as to rank Green IT criteria. Eventually, the organization level has been concluded in terms of the greenness level of IT services. As a case study, IT experts and managers of KAYSON Inc. organization are considered as statistical population of this research. The reduction had the highest weight among other criteriarecycling and reusing -in KAYSON Inc. organization. Finally, the organization greenness level was determined moderate in terms of IT services.

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Assessing the role of IT-enabled process virtualization on green IT adoption

Cited by 53 publications

References 85 publications

Understanding the determinants of social network sites adoption at firm level: A mixed methodology approach

Understanding the determinants of social network sites adoption at firm level: A mixed methodology approach

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

Evaluation of Green IT services with Fuzzy Screening approach

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