A conceptual model for EAI adoption in an e-government environment

The non-integrated nature of Local Government Authority (LGA) Information Systems (IS) is strongly associated with the inconsistency and duplication of data, reduction in data integrity and quality, and high operational and maintenance cost. The reason is that legacy IS within the LGAs are usually tailored to support particular business processes and functions and are as a consequence usually difficult to integrate. This gives rise to a strong need for an integrated architecture that facilitates reuse of existing applications and flexibly implementing business processes across the functional boundaries within the LGAs. This paper examines a potentially important area of IS integration in the United Kingdom (UK) LGAs through Enterprise Application Integration (EAI) technology. A review of the literature indicates that EAI has been a focal technology for several organisations in solving their integration problems. However, is new in the LGAs; thus research literature around it is limited. Yet the effect of IS integration using EAI technology remains under explored, as little research has been conducted to comprehend the LGAs perception of integration that influences their decisions and actions. The author demonstrates that it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. Therefore, resulting in the development of a conceptual model that may be used to assist the government decision-making process for EAI adoption in an electronic Government (e-Government) environment

IT Adoption Process in Pakistani SMEs

Information technology plays an important role in every field of life. Implementation and acceptance of IT always remain an important topic for researchers, engineers and practitioners. This study explores IT adoption factors influencing SMEs performance in developing countries. Relative advantages, complexity, ease of use, trialabiliy, observability were found frequently used factors to investigate SME performance. Frequently used factors and new identified factors from advance literature were profitability, communication improvement and attitude of employees for different SMEs. A questionnaire based survey was distributed personally to 240 respondents of SMEs of academic, pipe industry distribution, passport office, post office, nut bolt industry, hotels, banks, hospitals, carpet and fashion industry sector using IT. In response to survey, 162 valid responses were received. The response rate was 77.1%. Among the respondents male percentage is approximately 80.6% and female percentage is 19.4%. The finding indicates that the proposed model over all explains 81% variation in the performance. While relative advantage, acceptability, eases of use, profitability, communication improvement and attitude were significant factors that indicating SME performance. Majority of the respondents were agreed to use computer for their daily purpose

Identifying healthcare actors involved in the adoption of information systems

The adoption of information systems in healthcare is no less significant than in any other commercial or caring organisation. The literature on IS adoption in healthcare, makes it clear that the actors involved in the adoption process are almost universally seen as crucial, which matches our research results too. However, how such actors should be identified remains a topic for investigatory work since these are early days in achieving this. We derive and propose a structured method to model how actors might be identified: structured because such a rationale is explicable and such a method is more readily usable when transferred to others. Our structured method, named IGOHcaps, uses a static and then a dynamic step to pull out the individual, group, organisational and human determinants of the critical actors. In this process, the individual actors’ differing views emerge which could enable decision-making bodies to produce more robust proposals if they incorporated some of the appropriate views. We discuss the application of IGOHcaps through a hospital case study. While a single case study cannot be a proof, the engagement of the actors was encouraging

Standards Assessment in Disruptive Innovation: A Software Prototype for Cloud Computing

Standards impact interoperability, portability, and security of products or services. Standards con- tribute to open and flexible systems that, in turn, are a catalyst for the uptake of new technologies. The assessment of standards in disruptive innovation is, however, challenged by uncertainty over markets, technology evolution, and organizational change. The dynamics of technology progression, further- more, contribute to high assessment efforts, leading to situations where up-to-date information on standards is effectively missing. In this paper, we build upon previous work on a model and method to support assessment of standards in disruptive innovation. We summarize the methods potentials for reducing standards assessment efforts and automation. Thereupon, we propose a conceptual software architecture for standards assessment platforms and instantiate the platform for the domain of cloud computing. Our discussion of the Cloud Standards Assessment Platform will present the user experi- ence and reflect the realizability of automation potentials in standards assessment. We give an outlook on future work and platform adoption to conclude this paper

Information systems and healthcare XXIV: Factors affecting the EAI adoption in the healthcare sector

Recent developments in the field of integration technologies like Enterprise Application Integration (EAI) have emerged to support organizations towards improving the quality of services and reducing integration costs. Despite the importance of EAI, there is limited empirical research reported on its adoption in the healthcare sector. Khoumbati et al. [2006] developed a model for the evaluation of EAI in healthcare organizations. In doing so, the causal interrelationship of EAI adoption factors was identified by using fuzzy cognitive mapping. This paper is a progression of previous work in the area and seeks to contribute by validating the model through a different case environment. Thus, this paper contributes by deriving and proposing the MAESTRO model for EAI adoption. MAESTRO identifies a set of factors that influence EAI adoption and it is evaluated through a real-life case study. It provides an understanding of the EAI adoption process through its grounding on empirical data. In doing so, the MAESTRO model supports the management of healthcare organizations during the decision-making process for EAI adoption

Factors Affecting The Adoption Of Service Oriented Architectures

Service-orientated architecture is a very popular approach for building large scale, modular and distributed systems as well as achieving integration in heterogeneous environments. Its acceptance in the world of business is growing over time, mainly in technologically advanced countries, but there are still research gaps regarding SOA adoption and diffusion process. Interesting research questions include which factors drive SOA adoption, e.g. whether it is related to specific attributes of organizations. In this research-in-progress paper, we present a research model for identifying and validating the factors affecting SOA adoption in business contexts. Our model takes into consideration both theoretical background regarding factors of impact on IT innovations adoption and factors closely related to specific SOA characteristics. Our research is at a preliminary stage and thus we also present, the research methodology we intend to follow, in order to come up with results and confirm hypotheses

An Agent-Based Simulation Model for Understanding Diffusion Dynamics of Open-Source (OS) Software in the Presence of Upgrades

There is an increasing interest in the evolution of open-source software (OS). Researchers as well as practitioners are trying to better understand factors that impact the diffusion of OS. This paper presents an agent-based model of OS diffusion. Specifically, we investigate how software upgrade cycle affects firms’ OS adoption. In addition, we also incorporate factors such as variability in OS support costs, interoperability issues and network structure that have not been systematically studied in prior OS research. Simulation results demonstrate the individual and interaction effects of these variables on the rate of OS diffusion. High variability in OS support costs and more frequent introduction of major upgrades encourage OS diffusion. The rate of diffusion is also influenced by the degree of cliquishness in the network structure. Interoperability issues hinder OS diffusion when proprietary software (PS) is currently the dominant standard. However, if other factors encourage OS diffusion and a critical mass of OS adopters is reached, then interoperability issues encourage OS diffusion. The impact of interactions between network structures and other factors on diffusion dynamics is also illustrated

Exploration of Adoption of Preservation Metadata in Cultural Heritage Institutions

Paper presented at the 2010 ASIS&T Annual Meeting. This paper discusses preservation metadata and its role in the challenges of long-term access

Factors Affecting The Organizational Adoption Of Service-Oriented Architecture (Soa)

Service-oriented computing is an emerging IT innovation. Among its manifestations is service-oriented architecture (SOA), an architectural approach to designing and implementing IT solutions. Academic empirical research on SOA adoption is scarce, with many studies focussing on qualitative analysis. The purpose of this study is to explore SOA adoption using a quantitative approach. This study investigates organizational SOA adoption in South Africa from DOI theory and TOE framework perspectives. A comprehensive model of SOA adoption is presented along with an associated research instrument. In order to validate the instrument and to gauge the state of SOA adoption, an online survey was conducted among South African organizations. The results of the survey highlight a number of factors influencing SOA adoption. Use of multiple standards and platforms, complexity, compatibility, cost, top management support, good governance and strategy, adequate human and financial resources, vendor support for integration and development tools are all significant factors for a fruitful SOA implementation. The findings of this study can contribute to the body of knowledge on organizational SOA adoption and create opportunities for future related research in this field