20,131 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

    SciTech News Volume 70, No. 4 (2016)

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    Columns and Reports From the Editor 3 Division News Science-Technology Division 4 SLA Annual Meeting 2016 Report (S. Kirk Cabeen Travel Stipend Award recipient) 6 Reflections on SLA Annual Meeting (Diane K. Foster International Student Travel Award recipient) 8 SLA Annual Meeting Report (Bonnie Hilditch International Librarian Award recipient)10 Chemistry Division 12 Engineering Division 15 Reflections from the 2016 SLA Conference (SPIE Digital Library Student Travel Stipend recipient)15 Fundamentals of Knowledge Management and Knowledge Services (IEEE Continuing Education Stipend recipient) 17 Makerspaces in Libraries: The Big Table, the Art Studio or Something Else? (by Jeremy Cusker) 19 Aerospace Section of the Engineering Division 21 Reviews Sci-Tech Book News Reviews 22 Advertisements IEEE 17 WeBuyBooks.net 2

    Meta Modeling for Business Process Improvement

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    Conducting business process improvement (BPI) initiatives is a topic of high priority for today’s companies. However, performing BPI projects has become challenging. This is due to rapidly changing customer requirements and an increase of inter-organizational business processes, which need to be considered from an end-to-end perspective. In addition, traditional BPI approaches are more and more perceived as overly complex and too resource-consuming in practice. Against this background, the paper proposes a BPI roadmap, which is an approach for systematically performing BPI projects and serves practitioners’ needs for manageable BPI methods. Based on this BPI roadmap, a domain-specific conceptual modeling method (DSMM) has been developed. The DSMM supports the efficient documentation and communication of the results that emerge during the application of the roadmap. Thus, conceptual modeling acts as a means for purposefully codifying the outcomes of a BPI project. Furthermore, a corresponding software prototype has been implemented using a meta modeling platform to assess the technical feasibility of the approach. Finally, the usability of the prototype has been empirically evaluated

    Hard Lessons about Philanthropy & Community Change from the Neighborhood Improvement Initiative

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    Between 1996 and 2006, the William and Flora Hewlett Foundation invested over $20 million in the Neighborhood Improvement Initiative (NII), an ambitious effort to help three neighborhoods in the Bay Area reduce poverty and develop new leaders, better services, more capable organizations, and stronger connections to resources. On some counts NII succeeded, and on others it struggled mightily. In the end, despite some important accomplishments, NII did not fulfill its participants' hopes and expectations for broad, deep, and sustainable community change. In those accomplishments and shortcomings, and in the strategies that produced them, however, lies a story whose relevance exceeds the boundaries of a single initiative. Our goal is to examine this story in the context of other foundation sponsored initiatives to see if it can help philanthropy support community change and other types of long-term, community-based initiatives more effectively.As we began to review materials and conduct interviews, we learned of NII's accomplishments in each neighborhood, including new organizations incubated, new services stimulated, and new leaders helped to emerge. We also quickly discovered multiple, and often conflicting, perspectives on NII's design, implementation, and outcomes that were hard to reconcile. Some of this Rashomon effect is to be expected in a complex, long-term community change initiative that evolves over time with changing players. Some can also be attributed to the different dynamics and trajectories in each of the three sites.We have tried to describe all points of view as accurately as possible without favoring any one perspective. Moreover, we have tried to look beyond the lessons drawn exclusively from NII and to position all of these varied opinions within a broader field-wide perspective, wherever possible.The frustrations of NII's participants and sponsors are mirrored in many other foundations' major initiatives. Indeed, our reviewers -- who have been involved in many such initiatives as funders, evaluators, technical assistance providers, and intermediaries -- all underscored how familiar they were with the challenges and pitfalls described here, both those related specifically to community change efforts and those pertinent to other initiatives. Because the opportunity to discuss the frustrations candidly has been limited, however, they often are relegated to concerns expressed sotto voce. So it was particularly important throughout the review to solicit from our interviewees ideas or suggestions for improving their work together. We offer these along with our own observations as a way to stimulate further reflection and debate, because we believe that philanthropy has an important role to play in improving outcomes for poor communities and their residents. Few foundations have been willing to contribute to this level of honest and sometimes painful public dialogue. But by commissioning this retrospective analysis, the Hewlett Foundation demonstrates a desire to help the field learn and move forward, and we applaud that

    Continuous maintenance and the future – Foundations and technological challenges

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    High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security

    Revista Economica

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    Master’s Program in Money and Finance (MMF)

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    The Master’s program in Money and Finance (MMF) is an innovative joint venture of the Department of Money and Macroeconomics and of the Department of Finance, both located in the new House of Finance. The program offers promising students from all over the world an intellectually stimulating and challenging setting in which to prepare for their professional careers in central banking, commercial banking, insurance and other financial services. By being located in Frankfurt, one of the world's leading financial centers and the only city in the world with two central banks (the ECB and the German Bundesbank), it offers unique opportunities for interaction with practitioners. The program is taught exclusively in English; knowledge of German is not required for admission to, or completion of the program. It has been designed with a view to establishing itself as a leading Masters program integrating studies in monetary economics, macroeconomics and finance and a major gateway to high-profile jobs in the banking and financial sector
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