3,569 research outputs found

    Exploring Organizational Level Continuance of Cloud-Based Enterprise Systems

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    As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from IT decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9 % of the dependent variable’s variance. Besides cloud specific findings, the study also enhances knowledge in the area of organizational level system continuance as well as its connection to IS success

    Should We Stay or Should We Go? Analyzing Continuance of Cloud Enterprise Systems

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    As cloud computing has become a mature technology that companies across all industries have adopted, cloud service providers have increasingly begun to turn their attention to retaining their customers. However, little research has investigated the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model using survey data gathered from decision makers of companies that have adopted cloud enterprise systems. We analyzed the data using PLS. The results show that socio-organizational and technology-related factors can be used to predict continuance intention of cloud computing use. Besides cloud-specific findings, the study also enhances knowledge in organizational-level system continuance and its connection to IS success

    E2.0 Post-Adoption: Extending the IS Continuance Model Based on the Technology-Organization-Environment Framework

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    This paper extends the IS continuance model to improve our understanding of the determinants of E2.0 post-adoption. Our proposed research model incorporates four constructs into the IS continuance model: firm size, firm scope, subjective norms and competitive pressure based on the TOE framework. Results from a survey of customers of a leading E2.0 in China supported our model. We find that organizational and environmental context factors including subjective norms and competitive pressure significantly influence enterprises’ intention to renew their E2.0 service. Perceived usefulness and satisfaction are no longer the strongest predicators of continuance usage in the context of enterprise system

    A Literature Review on Cloud Computing Adoption Issues in Enterprises

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    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

    an empirical study

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    Martins, R., Oliveira, T., Thomas, M., & Tomás, S. (2019). Firms’ continuance intention on SaaS use: an empirical study. Information Technology and People, 32(1), 189-216. https://doi.org/10.1108/ITP-01-2018-0027Purpose: Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of this paper is to propose a theoretical model that integrates the technology-organization-environment framework, institutional theory, diffusion-of-innovation theory and the opportunity-risk framework to analyze the drivers of SaaS use and its continuance intention. Design/methodology/approach: The authors evaluated the direct, moderating and mediating effects of determinants on SaaS continuance intentions using structural equation modeling and data from 301 firms. Findings: Results found that top management support and normative pressures influenced SaaS use. Cost saving and security concerns were direct predictors of perceived opportunities and perceived risks, respectively. Perceived opportunities and risks and actual SaaS use influenced SaaS continuance. Interestingly, perceived opportunities were found to be a negative moderator on the relationship between SaaS use and SaaS continuance. Originality/value: The results reveal insightful and controversial findings for SaaS research.authorsversionpublishe

    Follow the Leader”: Leadership and Incentives to Use Enterprise 2.0 Applications

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    E2.0 facilitates the efficient collaboration of employers and workers across departmental boundaries. The exponential growth of nascent enterprise-level social network platforms implies important impacts on employees’ daily working styles and the implementation decisions made regarding these platforms represent the significant digital innovation. Despite this importance, limited effort has been devoted to understanding whether company senior managers’ leadership influences employees’ commitment to E2.0-driven change. Using a novel proprietary dataset from a leading E2.0 platform, we investigate the impact of change leadership perceived by employees on the implementation of E2.0. The sample includes information on 575 paid customers (i.e. firms) with 65,407 individual users and 2,286 previous customers with 99,807 individual users from 2011-2016. Our research will provide key insights for several groups of stakeholders, including platform developers, company senior managers, and workers. The expected contribution and practical implications are discussed

    Up in the cloud: Understanding the chasm between expectations and reality

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    CEOs increasingly demand their IT function to fully exploit the opportunities of cloud computing for their company. At the same time, we observe that employees make experiences with cloud services in their private life, which they seamlessly transfer and expect in the workplace - a phenomenon called cloud consumerization. Thereby, employees use self-deployed cloud services for solving business problems which they find more useful than the IT products provided by work. In light of these revolutionary changes, we propose that user experiences and outcomes are contingent on the process through which cloud services are adopted in companies. Systemizing cloud adoption as a continuum of top-down and bottom-up processes, we assume that adoption processes are distinct with respect to users’ social and governance context. In this paper, we outline the theoretical and methodological foundation, provide details on the expected theoretical contributions and give information regarding next steps of our research project

    An Investigation of Organizational Level Continuance of Cloud-Based Enterprise Systems

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    Cloud-based enterprise systems are a growing trend in today’s business software market. With a steadily expanding number of implementations, cloud service providers are now turning their attention from adoption issues towards retaining their existing customer base. The difficulties even established cloud players, like e.g. Salesforce.com, face in retaining their customers have been emphasized by tech bloggers, where the subscriptions of cloud-based enterprise systems are cancelled even at an early stage of adoption. This discontinuance of enterprise systems at an early stage is a rather new phenomenon, which is related to the subscription-based payment model of cloud services, which (theoretically) allows service cancellation without the customers having to fear financial penalties. In contrast, traditional on-premise systems (e.g. SAP ERP) are on a long term license base, where customers are contractually bound. Therefore the research question of the thesis is as follows: What factors influence the organizational level continuance intention of cloud-based enterprise systems? In an effort to answer this research question, the thesis presents five inter-related papers. The first paper develops a conceptual model to study the continuance of cloud-based enterprise systems. Building on this, paper two develops a formative measurement instrument to assess the success of operational cloud-based enterprise systems. The third paper quantitatively explores the influence of the variables identified in the conceptual model. Building on these findings, paper four conducts a stakeholder analysis to solve the problem of broad samples. Finally, the fifth paper uses the formative measurement instrument to test the final research model, which is a revision of the conceptual model developed in the first paper. The results show that continuance intention is influenced both, by information systems success variables, as well as continuance inertia. In addition, behavioral variables, such as attitude towards usage also explained a decent amount of variance in the dependent variable
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