Benchmarking performance management systems

The Balanced Scorecard and associated performance management approaches, has become a widely practiced and popular management reporting method in recent times. Moreover, enabling technology, which assists in the delivery and personalisation of corporate performance information, is having a deeper and more rapid impact than ever before. This paper presents a brief comparative benchmarking study of leading enterprise performance management systems. Also, the author discusses the merits of bespoke internet technology development and out-of-the-box portal functionalities. An analysis of key business drivers and implementation risks of such approaches is highlighted via a case study example, and concludes the paper

Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.Comment: 59 page

Investigating grid computing technologies for use with commercial simulation packages

As simulation experimentation in industry become more computationally demanding, grid computing can be seen as a promising technology that has the potential to bind together the computational resources needed to quickly execute such simulations. To investigate how this might be possible, this paper reviews the grid technologies that can be used together with commercial-off-the-shelf simulation packages (CSPs) used in industry. The paper identifies two specific forms of grid computing (Public Resource Computing and Enterprise-wide Desktop Grid Computing) and the middleware associated with them (BOINC and Condor) as being suitable for grid-enabling existing CSPs. It further proposes three different CSP-grid integration approaches and identifies one of them to be the most appropriate. It is hoped that this research will encourage simulation practitioners to consider grid computing as a technologically viable means of executing CSP-based experiments faster

Innovation dynamics and the role of infrastructure

This report shows how the role of the infrastructure – standards, measurement, accreditation, design and intellectual property – can be integrated into a quantitative model of the innovation system and used to help explain levels and changes in labour productivity and growth in turnover and employment. The summary focuses on the new results from the project, set out in more detail in Sections 5 and 6. The first two sections of the report provide contextual material on the UK innovation system, the nature and content of the infrastructure knowledge and the institutions that provide it. Mixed modes of innovation, the typology of innovation practices developed and applied here, is constituted of six mixed modes, derived from many variables taken from the UK Innovation Survey. These are: Investing in intangibles Technology with IP innovating Using codified knowledge Wider (managerial) innovating Market-led innovating External process modernising. The composition of the innovation modes, and the approach used to compute them, is set out in more detail in Section 4. Modes can be thought of as the underlying process of innovation, a bundle of activities undertaken jointly by firms, and whose working out generates well known indicators such as new product innovations, R&D spending and accessing external information, that are the partial indicators gathered from the innovation survey itself

Aligning enterprise risk management with business strategy and information systems

Business leaders recognise effective risk management as one of the main success drivers for enterprises. Even though the Enterprise Risk Management (ERM) concept has evolved significantly in the past years, in the aftermath of recent economic crises it became evident some of its critical challenges still need to be addressed. The review of subject literature led to a conclusion that current ERM approaches failed to protect enterprise value in turbulent and risky market conditions. Therefore, this paper aims to provide a conceptual analysis of the most common ERM practices and frameworks, in order to identify their shortcomings and areas requiring development. It is further aimed to provide guidance to business practitioners in implementing more integrated and effective Enterprise Risk Management (ERM) solutions. This research recognises the importance of aligning ERM programmes with business strategies, and with consolidated Information Systems. A “New Approach ERM Model” is developed as guidance for a successful alignment of ERM with enterprise business strategy, and for an effective adaption of Information Systems to requirements of ERM programmes. The “New Approach ERM Model” steers risk management initiatives and strategies in the same direction, and consequently allows enterprises to improve organisational effectiveness, increase shareholders value, and gain competitive advantage in the market

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

Applying semantic web services to enterprise web

Enterprise Web provides a convenient, extendable, integrated platform for information sharing and knowledge management. However, it still has many drawbacks due to complexity and increasing information glut, as well as the heterogeneity of the information processed. Research in the field of Semantic Web Services has shown the possibility of adding higher level of semantic functionality onto the top of current Enterprise Web, enhancing usability and usefulness of resource, enabling decision support and automation. This paper aims to explore the use of Semantic Web Services in Enterprise Web and discuss the Semantic Web Services (SWS) approach for designing Enterprise Web applications. A Semantic Web Service oriented model is presented, in which resources and services are described by ontology, and processed through Semantic Web Service, allowing integrated administration, interoperability and automated reasoning

Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS

This case study illustrates the potential benefits and risks associated with the migration of an IT system in the oil & gas industry from an in-house data center to Amazon EC2 from a broad variety of stakeholder perspectives across the enterprise, thus transcending the typical, yet narrow, financial and technical analysis offered by providers. Our results show that the system infrastructure in the case study would have cost 37% less over 5 years on EC2, and using cloud computing could have potentially eliminated 21% of the support calls for this system. These findings seem significant enough to call for a migration of the system to the cloud but our stakeholder impact analysis revealed that there are significant risks associated with this. Whilst the benefits of using the cloud are attractive, we argue that it is important that enterprise decision-makers consider the overall organizational implications of the changes brought about with cloud computing to avoid implementing local optimizations at the cost of organization-wide performance.Comment: Submitted to IEEE CLOUD 201

The real SAP® Business one cost : a case study of ERP adoption in an SME

This paper reports on a UK based service management Small and Medium-sized Enterprise (SME) that invested into SAP® Business One. The action research case study highlights the real cost and difficulties faced in moving to the one single SAP system and the process that was followed in order to identify third-party vendors that can integrate or customise SAP® Business One. This paper highlights the additional costs required to ensure a ‘fit-for-purpose’ solution to close the gap between strategic needs and the existing SAP Business One solution. The gap itself is illustrated by highlighting 10 key functionalities expected by the given service management SME. The actual implementation cost of the Enterprise Resource Planning (ERP) was found to be approximately double the initial SAP costs. The real costs involve time for, among other things, process reengineering, strategic decision making, software add-ons, staff-training, project-management and software maintenance