12,768 research outputs found

    ERP implementation methodologies and frameworks: a literature review

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    Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

    Toward mobile learning deployment in higher education

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    This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile Learning (M-learning) refers to any kind of learning which takes place within and beyond the traditional learning environment via wireless mobile devices. These devices are able to move with the learner to allow learning anytime, anywhere. M-learning is considered as the next step beyond electronic learning (E-learning) and distance learning (D-learning) by using mobile wireless devices with internet connectivity to facilitate formal and informal learning. Over the past decade M-learning has become gradually popular in university settings by providing mobile access to learning resources, collaborative learning and to exchange formative evaluation and feedback between students and instructors. Therefore, M-learning involves learning activities that are not restricted to a specific time or place. Despite the familiarity with M-learning as a new paradigm in modern education, there has been a shortage of research concerning how to deploy this technology in a successful way. The integration of M-learning in a university environment needs to involve some aspects in terms of the readiness of users and institutions, users‟ acceptance and engagement, and the sustainability of the system. There are some initial models that investigate the implementation of M-learning which provide some guidelines that work as starting point for the future of M-learning deployment. However, there is no theoretical model that provides guidelines for staged deployment of M-learning. In addition, there was no clear definition of sustainability factors that will assure continues evaluation and upgrade of M-learning systems after deployment. The aims of this research work are to study students‟ readiness for M-learning, investigate the factors that affect students‟ acceptance and analyse M-learning literature in order to propose and evaluate a model which can be used to foster the sustainable deployment of M-learning within teaching and learning strategies in higher education institutions. The research was conducted in Brunel University, West London. Data were collected from School of Information, Computing and Mathematical Science students using three surveys: the first studied students‟ readiness for M-learning, the second investigated factors that affect students‟ acceptance of M-learning and the last one developed and evaluated a sustainable M-learning deployment model. The outcome of this research lead to a conceptual model that gives a wide overview of all elements that need to be addressed in the M-learning environment and bridges the gap between the pre- and post-implementation phases in order to ensure sustainability. Furthermore, the model provides university educators with a planned approach to incorporate M-learning in higher education curriculums with the aim of improving teaching and learning

    Measures for Assessing the Readiness of Back-office Staff

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    Purpose—Public organizations deploy state-of-the-art technological advancements to facilitate sophisticated services to the citizens, businesses, and employees. The maturity of backoffice staff to adapt, use, and utilize these technological changes at the organizational level is a prerequisite to introduce cutting-edge services. This paper investigates the maturity of backoffice staff and proposes a conceptual framework, measurement constructs, and subsequent measures for the assessment.Methodology/Design/Research—Design methodology focuses on combining research with practice. An initial framework and measurement constructs are developed based on the literature review, which are further investigated by conducting a case study at Inland Revenue, Karachi to test the usability in practice using the directive content analysis qualitative method.Findings—the outcome of measurement reveals that though the proposed framework and measurement constructs i.e. roles; responsibilities; trainings; capacity building; capabilities; and attitude are relevant and useful to assess the back-office staff readiness, the measures to assess the constructs may vary in practice depending on the size, scope, and type of the public organizations.Research limitations/implications—although the proposed measurement constructs and measures proved to be useful for assessing the back-office staff maturity, the relationships among different measures and constructs affecting the staff readiness require further research.Practical implications—the case study was conducted at single public organization, which will be extended to multiple public organizations in practice. The extension will not to allow effective testing of the usability of the proposed conceptual framework and constructs, but will also broaden the benchmarking scope.Originality/Value—back-office staff education is discussed and described in the literature as well practice, but there is hardly any existing framework for the assessment and benchmarking of staff maturity. Often viewed in isolation, the practitioners hardly realize the long term intangible objectives to understand how research (literature) can help improve the maturity. Similarly, the academics also describe staff education at generic level, which may or may not be applicable to the different types of organizations. Therefore, we propose a conceptual measurement framework with constructs and subsequent measures and show that combining the research (literature) and practice (Inland Revenue, Karachi) provides deeper insights.Research type: Conceptual paper, Case study, Literature revie

    Organizational Improvement Readiness Assessment (OIRA) Tool Evaluation

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    Background: Research shows that despite an increase in the number of organizational improvement initiatives there is a lack of consistent, sustained outcomes. Organizations struggle with how to reliably and accurately measure their readiness to drive and sustain outcomes. A search of the literature failed to identify a comprehensive, evidence-based tool that has been developed or evaluated to assess organizational improvement readiness. The objective of this project was to evaluate a newly developed Organizational Improvement Readiness Assessment (OIRA) Tool. Project Design: Guided by two theoretical models, Delphi-Based Systems Architecting Framework (DB-SAF) and the Rogers Diffusion of Innovation Model, a 3-round, modified Delphi nominal group method was utilized. An evaluation panel of 13 organizational improvement subject matter experts (SMEs) was recruited, with 11 SMEs completing all 3 evaluation rounds. The relevancy and clarity of the OIRA Tool competencies was evaluated using an item-level content validity index (I-CVI) and a scale-level content validity index (S-CVI). Additionally, the tool was evaluated from a usability perspective using Google Analytics. Results: The OIRA Tool was found to be clear, understandable, and relevant for organizations evaluating their readiness to drive and sustain outcomes improvements (S-CVI index of 0.92 and I-CVI indices ranging from 0.82 to 1.0). The final version of the tool included 22 competencies, modified based on expert consensus from the original 25. Usability test results confirmed the OIRA Tool, a web-based tool, is easy to use and well designed as measured by exit rates (15.44%), bounce rates (51.81%), and conversion rates (14%), all of which were significantly better than industry benchmarks. Recommendations and Conclusions: Results of this project provide evidence of the content validity and usability of the OIRA Tool. The tool has the potential to help healthcare organizations assess their readiness to sustain organizational improvements and to identify gaps in leadership and culture, processes, technologies, and standards. The OIRA Tool provides the foundation for future analytics modeling and additional studies to test the theory and the advancement of outcomes improvement science
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