34 research outputs found

    Institutional Factors influencing E-Business Adoption

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    Studies of e-business adoption have generally been restricted to understanding organizational factors. Institutional factors provide an alternate explanation of the diffusion of e-business across organizations. We test the influence of coercive, normative, and mimetic pressures on first-time adoption of B2B and B2C innovations by organizations. We further propose that an organization’s response to institutional pressures may be affected by its distinctive organizational identity. Specifically, we hypothesize that those organizations that value innovation and customer service will be more likely to adopt e-business over time. We test the likelihood that the intensity of institutional pressures will vary over different time periods. Data are gathered from secondary sources and we use event-history techniques to test our model. We contribute to the IS literature by integrating institutional and organizational identity concepts to understand the adoption and diffusion of Type III innovations

    IMPACT OF CODING PHASE ON OBJECT ORIENTED SOFTWARE TESTING

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    The paper demonstrate the findings of empirical research from 23 software development companies to identify the factors of coding phase which effects the testing of Object Oriented (OO) software. Six potential factors of coding phase have been identified. The study uses a relative weight method and ANOVA test to analyse these factors and identify the place of these factors according to their impact on Object Oriented software testing. The survey focuses on the crucial participants like programmers and testers who highly involve in coding phase

    Cloud Computing Adoption: An SME Case Study

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    Cloud Computing is a paradigm shift in IT services delivery. This shift promises large gains in agility, efficiency and flexibility at a time when demands on data centres are growing exponentially. Despite the importance of Cloud Technology there is a dearth of research of Cloud Technology adoption in Small and Medium Enterprises. This paper seeks to address this challenge by conducting Case Study research based on Design Science and Engaged Scholarship on an SME who is in the process of developing a capability in this area. A framework called the IT-CMF was used. The framework enabled a measurement capability that will be an invaluable tool for the company as it ensures that risks are mitigated and the opportunities created by cloud computing are maximized in a planned and controlled way

    Early Adoption of Patient Portals by U.S. Hospitals

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    Customer-facing information systems have received very little research attention, especially in the context of healthcare. Ashospitals begin to provide healthcare consumers with online patient portals to view and manage personal health records anddiagnostic results, little is known about whether or not the ‘dominant paradigm’ (Fichman 2004) of diffusion of innovationstheory is sufficient for explaining the characteristics of early adopters. We suggest that a more nuanced understanding ofearly adoption of patient portals is needed because early adopters are not only the largest hospitals with substantial resourcesand capabilities residing within competitive environments. Specifically, we suggest that patient-portals are impacted bymarket characteristics and require Electronic Medical Records (EMRs) systems to be adopted first. We develop a non-linear,two-stage, econometric model with sample selection correction that controls for EMR adoption and estimates the impact ofdiffusion of innovation and market characteristics on the early adoption of patient portals by U.S. hospitals

    Overcoming challenges for managing IT innovations in non-IT companies

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    Information technology (IT) impacts almost every business unit inside the enterprise. However, the role of the IT organization as an enabler of growth and driver of business innovation is mostly ignored. In this paper we introduce six non- IT companies which asses IT innovations as important for their strategy and competitive advantage. Four companies already created formalized structures for managing IT innovations. We describe the reasons why companies have chosen to create those structures and which challenges they experienced. Furthermore, we reveal reasons why companies do not create formalized structures, although IT innovations are important for their business. As a result we propose measures how companies can overcome these challenges to manage IT innovations. Approaching these steps will not only lead to successful IT innovations and improved processes, it will also strengthen the perception of the IT organization as an innovative partner

    Factors Influencing Adoption of Open Source Software - An Exploratory Study

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    Open Source Software (OSS), an example of an IS innovation, provides an alternative to proprietary software for organizations. Despite its free availability, OSS has not been universally adopted. While IS innovation has been extensively studied, there is a dearth of research literature on the adoption of OSS. Using a multi-site case study research method and a well known framework on the adoption of IS innovations, we explore this novel phenomenon and uncover critical factors that influence the adoption of OSS in organizations

    Increasing Process Improvement through Internet-based eBusiness Innovations

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    This research proposes and empirically tests a model of post adoption process improvements realized through use of partners’ Internet-based e-business applications. We identify constructs proposed within adoption and post-adoption use theoretical models as well as presented in existing inter-organizational systems research. Our analysis reveals purely organization-based factors; namely, information systems/technology infrastructure and propensity for like innovations; shape perceptions of process improvement, while technology, or innovation, based and external factors, i.e., ease of use and facilitating conditions respectively, serve as moderators of the relationships between predictors and process improvement

    Do As Others Do: Modeling IT Adoption Intentions through Institutional and Social Contagion Theories

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    Recognizing that organizations reside in institutional networks that influence organizational structure and actions, this research proposes using social contagion theory to extend institutional theory-based research to predict organization intentions toward adopting an information technology (IT) innovation. Moving beyond the dominant “diffusion of innovation” approach to IT innovation, this study articulates a model of the “social contagion” of technology adoption. Rooted in social contagion theory, we suggest that cohesion and structural equivalence interact with mimetic and normative forces to shape organization adoption intentions. We suggest that cohesion moderates normative and mimetic predictors’ influence on firm IT adoption intentions. Also, we further posit that structural equivalence moderates the relationship between mimetic pressures and technology adoption intentions. By combining established institutional theory-based predictors of technology adoption with social contagion constructs, we broaden our understanding of IT innovation phenomena. The paper concludes with implications for research and practice

    Extending understanding of IT innovation using innovation theory as an organising framework for future research

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    Information technology innovation has been predominately examined from a diffusion and adoption perspective. Whilst this research is important, the existing body of knowledge concerning the developing, implementation and use of information technology potentially ignores key dimensions of innovation theory found within the innovation literature. This paper extends the idea of utilising an innovation perspective to consolidate definitions and understating of information technology innovation. It presents an initial methodological approach to address important dimensions of innovation theory and illustrates the potential of this approach with preliminary data from a case study involving IT innovation practice
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