Pengembangan Model Arsitektur Enterprise Sistem Informasi Menggunakan Eap Pada Perguruan Tinggi (Studi Kasus Di Universitas Dehasen Bengkulu)

The college is an enterprise engaged in the field of education. In the current era to support the major activities in universities is needed the support of information systems. Failures in the implementation of information systems in a college is often caused because no planning. Planning information system in ordinary universities embodied in the blueprint. Enterprise Architecture Planning (EAP) is a process of defining the architecture for the use of information in order to support the business and planning to implement the architecture. EAP can be used to create a technology blueprint in an enterprise

Exploring the World\u27s Largest ERP Implementation: the Role of ERP in Strategic Alignment

As one of the largest and most complex organizations in the world, the Department of Defense (DoD) faces many challenges in solving its well-documented financial and related business operations and system problems. The DoD is in the process of implementing modern multifunction enterprise resource planning (ERP) systems to replace many of its outdated legacy systems. This paper explores the ERP implementations of the DoD and seeks to determine the impact of the ERP implementations on the alignment of the DoD’s business and IT strategy. A brief overview of the alignment literature and background on ERP are followed by case study analysis of the DoD ERP development and current implementation status. Lastly, the paper explores the current successes and failures of the ERP implementation and the impact on the DoD’s goal of strategic alignment

The Adoption of Entreprise Resource Planning (ERP) Systems

Enterprise Resource Planning (ERP) systems present significant challenges to modern businesses. Although some organizations enjoy a smooth ERP implementation, others experience very public failures. The present research develops a general models that uses differences between appropriability regimes to predict which adoption strategies will lead to successful implementation. In strong appropriability regimes, intellectual property protection (e.g. patents) helps firms secure the benefits of technological innovation. However, ERP software is usually purchased rather than developed, so it is subject to the minimal intellectual property protection typical of a weak appropriateness regime. It is the latter, weak appropriation context that is the recently adopted Enterprise Resource Planning (ERP) systems was used to test a model of weak appropriation with significan results. Leadership (social learning theory), business process reengineering (change the company not the technology) and acquisition strategy (buy, don\u27t make) were found to be significant predictors of adoption performance (final model R-square=43%, F=5.5, p\u3c .001, df=7,52). Industry (manufacturing versus service) and scale (sales) were included as control variables but were not significant in the analysis. EDI (electronic data interchange usage), and project start date were also used as control variables and were found to have significant regression coefficients. That is, EDI tends to substitute for, and slow adoption of ERP, and early movers finish implementation sooner than competitors. In general, strong, honds-on leadership, and business process reengineering coupled with purchasing ERP systems were found to be a much more effective adaptation strategy than tailoring enterprise software. The implications of these results are discussed

Industrial policy for the medium to long-term

This report reviews the market failure and systems failure rationales for industrial policy and assesses the evidence on part experience of industrial policy in the UK. In the light of this, it reviews options for reshaping the design and delivery of industrial policy towards UK manufacturing. These options are intended to encourage a medium- to long-term perspective across government departments and to integrate science, innovation and industrial policy

Knowing A Few Rules Doesn’t Mean You Can Play the Game : The Limits of “Best Practice” in Enterprise Systems.

We examine the common claim that "best practices" are encompassed and represented in Enterprise Systems (ES). We suggest that an ES can at best only represent the ostensive and not the performative elements of work tasks. Thus, representation of best practice in an ES does not take practical action into account. This has two important implications. First, ostensive abstractions of best practice in an ES are a sparse and superficial representation of a "good" business process, at a specific moment in time. Second, the practical understanding required for performance is often ignored in the ostensive representation of best practice in the implementation of an ES. This constrains user and business adaptability. Inflexible coding of ostensive business tasks furthermore leads to rigidity where flexibility should be sought, to keep on top of the competition. Implications and directions for further research are discussed

Development and implementation of preventive-maintenance practices in Nigerian industries.

A methodology for the development of PM using the modern approaches of FMEA, root-cause analysis, and fault-tree analysis is presented. Applying PM leads to a cost reduction in maintenance and less overall energy expenditure. Implementation of PM is preferable to the present reactive maintenance procedures (still prevalent in Nigeria

JEERP: Energy Aware Enterprise Resource Planning

Ever increasing energy costs, and saving requirements, especially in enterprise contexts, are pushing the limits of Enterprise Resource Planning to better account energy, with component-level asset granularity. Using an application-oriented approach we discuss the different aspects involved in designing Energy Aware ERPs and we show a prototypical open source implementation based on the Dog Domotic Gateway and the Oratio ER

From Fragmentation to Function: Critical Concepts and Writings on Social Capital Markets' Structure, Operation, and Innovation

We hope to see a future in which more funds flow to investments seeking the generation of social and/or environmental value in conjunction with some level of financial performance. As the 'capital markets' moniker would suggest, we would like to see these capital flows be performance-based (so that funds advance the work of high-performance investees, while being less accessible to lower-performing and/or riskier ventures). Furthermore, we would like to see these investments adopt structures that more completely address the diverse needs and interests of investors and investees. Our ambition is that by better organizing the ideas and initiatives of the many individuals who have worked to frame this emerging market, these goals may be advanced. The paper's secondary goals are to help focus future research and praxis on efforts that build on the significant body of existing work without unduly re-treading well-worn analytical paths. This paper seeks to promote an elevated discussion of the social capital markets, a discourse focusing on  high-leverage issues. The paper also invites experts from related academic and practical fields to engage in a conversation that has to this point largely been conducted between social sector professionals turning their attention to capital flows and finance professionals placing their expertise in the service of social purposes

Integrating the IS with the enterprise: Key EAI research challenges

Enterprise Application Integration (EAI) technologies provide the means to integrate strategic business solutions within and across the component parts of organisational information system infrastructures. The continuing development of both digitally integrated business models, through various eCommerce and eBusiness initiatives, has meant that the importance of EAI within enterprise IS, has increased significantly. Noting that EAI incurs not only technological but stakeholder-level commitments, this paper outlines the product of a sustained investigation into key challenges within Enterprise IS and EAI, and provides a framework for future research and investigation into this emerging and evolving area