Understanding SaaS adoption: The moderating impact of the environment context

Oliveira, Tiago; Martins, Ricardo; Sarker, Saonee; Thomas, Manoj A.; Popovič, Aleš

doi:10.1016/j.ijinfomgt.2019.02.009

Cited by 118 publications

(108 citation statements)

References 98 publications

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“…Both theories are similarly applied to adopting innovation at the organization level in terms of such innovations as electronic data interchange [23], and e-business [60], and SaaS [34]. This has received a great deal of empirical support from different technology innovations [35]. Recent developments in technology innovation with regard to IT adoption have suggested three dimensions in terms of related forces: the technological, organizational or environmental contexts [34].…”

Section: Technology Innovation and Aimentioning

confidence: 99%

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Re-thinking the Competitive Landscape of Artificial Intelligence

Alsheibani¹,

Messom²,

Cheung³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Artificial Intelligence (AI) has emerged from its traditional domain of computer science research to be a management reality. This can be seen in the remarkable increase in the adoption of AI technology in organizations resulting in increased revenue, reduced costs and improved business efficiency [19]. Despite this trend, there are still many organizations that are facing the decision whether to adopt AI. Thus, to evaluate the adoption of AI at organizational-level, we draw on two-grounded theories:Technology-Organizations-Environment (TOE) framework and Diffusion of Innovation theory (DOI) to identify factors that influence the adoption of AI. Survey data collected from 208 large, mediumsized and small organizations in Australia is used to test the proposed framework. We offer a method of how examining AI over a set of organizations. Besides offering several important recommendations for AI adoption future directions for research in this area are also included in this paper.

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Section: Technology Innovation and Aimentioning

confidence: 99%

“…A rigorous literature analysis of scholarly articles on technology readiness and AI was conducted. To assist cumulative research, items adopted and tested by previous research were used [23,35,49].…”

Section: Measurement and Data Collectionmentioning

confidence: 99%

Re-thinking the Competitive Landscape of Artificial Intelligence

Alsheibani¹,

Messom²,

Cheung³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Finally, this study proposes a conceptual framework which assesses the direct and contingent influences of ERP adoption. The model analyzes the moderating influences of the external (environmental) factor (EU), as recommended by [26]. In a way, the contingent effects of EU serve to add new evidence, which advances and extends the prior results.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Moderating Role of Environmental Uncertainty between Institutional Pressures and ERP Adoption in Jordanian SMEs

Lutfi¹

2020

Journal of Open Innovation: Technology, Market, and Complexity

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Small and Medium Enterprises (SMEs) are struggling to survive in the present competitive environment. Enterprise resource planning (ERP) technologies have great potential to facilitate firms in achieving sustainable competitive advantages and to survive in such situations. However, the adoption of ERP among Jordanian SMEs has been reported as relatively low, which, in turn, does not affect SMEs effectively. Therefore, this study aims to examine the roles of the external forces (mimetic pressure (MP), coercive pressure (CP), and normative pressure (NP)), and Environmental Uncertainty (EU) on the adoption of ERP. Through the use of institutional theory and contingency theory, this study includes the role of EU as a moderating variable in the relationships between institutional factors (MP, CP, and NP) and ERP adoption. Data were collected from small- and medium-sized enterprises operating in Jordan. A total of 741 questionnaires were distributed to the selected SMEs, of which 192 were returned and used for analysis. The empirical data were analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM). The results show that MP, CP, NP, and EU have significant direct relationships with ERP adoption; however, contrary to our expectations, EU did not moderate the relationships between institutional factors and ERP adoption. These findings provide important insights for managers, researchers, and policy makers, helping them to understand the importance of ERP system adoption in enhancing firm performance. One limitation of this study is that it is based only on SMEs. Therefore, future studies can concentrate on the development of such research not only in SMEs, but also using larger organizations.

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“…One of the advantages of TOE framework is its ability to enable researchers to get a broader picture of the innovation process, and this happens due to its integration ability of different factors that affect the adoption into their respective context including technology, organisation, and environment [8] In the existing literature, a considerable empirical supported has been gained by the TOE framework, used in many studies relating to different types of technology adoption [9]. Despite its broader application, the TOE framework has alone neglected the relevance of inter-organisational relationships relating to human factors and also does not consider the importance of combining factors that may address the issue of inconclusive findings [8]. Moreover, many studies that applied the framework paid much emphasis on various technological factors [10] and organisational factors [11], but neglect environmental and human factors in their investigations [11].…”

Section: Related Workmentioning

confidence: 99%

Developing a Conceptual Model for the Intention to Adopt CC Saas

Hadi,

Othman,

Osman

2020

IJEAT

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Cloud Computing (CC) is an evolving information technology paradigm providing on-demand IT resources on a pay-as-you-go basis. A cloud computing service model called Software as a Service (SaaS) emerged to offers IT services, effectively utilise computing and power consumption while achieving performance, decreasing cost, and increasing revenue. However, the adoption rates of CC-SaaS among the organisations are inadequate, and its diffusion is not fully explored due to issues related to data security, privacy concerns and trust which affects the adoption of CC-SaaS. There is a lack of empirical studies investigating factors affecting the adoption of CC-SaaS from the organisational perspectives specifically in Iraq. Therefore, the primary aim of this study is to identify the most influencing factors for the intention to adopt CC-SaaS in Iraqi organisations. In order to meet the primary aim, such factors are reviewed and selected from the literature on a high frequency of occurrence and developed the proposed model. The result of the factors is validated by expert and the values of assessment are statistically analysed using SPSS for t-test analysis. The proposed model can give a guide for the decision makers to plan the successful adoption of CC-SaaS in the organisation

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Understanding SaaS adoption: The moderating impact of the environment context

Cited by 118 publications

References 98 publications

Re-thinking the Competitive Landscape of Artificial Intelligence

Re-thinking the Competitive Landscape of Artificial Intelligence

Investigating the Moderating Role of Environmental Uncertainty between Institutional Pressures and ERP Adoption in Jordanian SMEs

Developing a Conceptual Model for the Intention to Adopt CC Saas

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