ERP implementation methodologies and frameworks: a literature review

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

Designing better performance measurement systems in universities using the business model canvas

This paper starts by critically reviewing the way in which universities design their measures of performance. We argue that the “one size fits all” performance measurement approach adopted by so many universities is not appropriate when departments have very different operating models. The paper proposes using “business model design” to enable university departments and centres to design and develop their own “sustainability model”, which in turn may help them develop more appropriate performance measurement systems. Using the lens of business model design may help universities to recognise their diversity and allow them to use performance measures more strategicall

Evaluating the Provision of Botnet Defences using Translational Research Concepts.

Botnet research frequently draws on concepts from other fields. An example is the use of epidemiological models when studying botnet propagation, which facilitate an understanding of bot spread dynamics and the exploration of behavioural theory. Whilst the literature is rich with these models, it is lacking in work aimed at connecting the insights of theoretical research with day-to-day practice. To address this, we look at botnets through the lens of implementation science, a discipline from the field of translational research in health care, which is designed to evaluate the implementation process. In this paper, we explore key concepts of implementation science, and propose a framework-based approach to improve the provision of security measures to network entities. We demonstrate the approach using existing propagation models, and discuss the role of implementation science in malware defence

A Domain-Specific Modelling Language for Corporate Social Responsibility (CSR)

Corporate Social Responsibility (CSR) has become a strategic critical subject in many business processes, since enterprises not only need to provide good products or services, but they also have to demonstrate that they are environmentally and socially responsible. In this context, enterprises should use appropriate computer systems in order to manage CSR ensuring the adoption of best practices with the aim of obtaining competitive advantages. On the other hand, Model-Driven Engineering is a proven and accepted paradigm that provides sound mechanisms to develop quality and reliable computer systems in an efficient way starting from business models. The main results presented in this paper are a CSR Metamodel and a CSR UML profile that provide a Domain-Specific Modelling Language (DSML) to represent CSR. This DSML supports the design of CSR Computer Independent Models (CIM) that are the starting point for Model-Driven Engineering development. To propose this DSML to represent CSR we analysed international standards, guides and regulations on CSR and we reviewed CSR strategies developed by different companies in order to define the artifacts of the CSR Metamodel. Finally, a practical case study using this DSML is provided in order to improve and to validate the defined CSR Metamodel, and to show how to apply the proposal in an actual company

An Open Source Based Data Warehouse Architecture to Support Decision Making in the Tourism Sector

In this paper an alternative Tourism oriented Data Warehousing architecture is proposed which makes use of the most recent free and open source technologies like Java, Postgresql and XML. Such architecture's aim will be to support the decision making process and giving an integrated view of the whole Tourism reality in an established context (local, regional, national, etc.) without requesting big investments for getting the necessary software.Tourism, Data warehousing architecture

An Ontology-Based Knowledge Modelling for Sustainable Entrepreneurship Domain

Sustainable entrepreneurship (SE) focuses on entrepreneurial activities taking into account environmental and social issues, not only by paying attention to economic issues. While the concept of SE is a prominent stream for modern entrepreneurship, the following questions arise: how enterprises can run a business and implement Sustainable Development Goals (SDG) and which factors can support or constrain SE? Research on SE suggests that that identifying and implementing sustainable development opportunity is more complex for the entrepreneur than the recognition of non-sustainable opportunity. Therefore this article contributes to the advancement of sustainable entrepreneurship research by offering an ontology-based approach collecting factors from the current literature review and incorporating different lines of research that can influence further sustainable entrepreneurial strategies. The applied research methodology exploits a previously elaborated bibliometric analysis which included a systematic literature review conducted using the PRISMA methodology. The condensed immense amount of bibliometric information and further co-occurrence analysis of keywords determining SE factors is a basis for constructing ontology-based model. This model offers a classification schema of sustainable entrepreneurship factors as well as a tool performing knowledge from being machine-readable to machine-understandable

Business Integration as a Service

This paper presents Business Integration as a Service (BIaS) which enables connections between services operating in the Cloud. BIaS integrates different services and business activities to achieve a streamline process. We illustrate this integration using two services; Return on Investment (ROI) Measurement as a Service (RMaaS) and Risk Analysis as a Service (RAaaS) in two case studies at the University of Southampton and Vodafone/Apple. The University of Southampton case study demonstrates the cost-savings and the risk analysis achieved, so two services can work as a single service. The Vodafone/Apple case study illustrates statistical analysis and 3D Visualisation of expected revenue and associated risk. These two cases confirm the benefits of BIaS adoption, including cost reduction and improvements in efficiency and risk analysis. Implementation of BIaS in other organisations is also discussed. Important data arising from the integration of RMaaS and RAaaS are useful for management of University of Southampton and potential and current investors for Vodafone/Apple

Cyber-physical business systems modelling : advancing Industry 4.0

Abstract: The dynamic digital age drives contemporary multinationals to focus on delivering world-class business solutions with the use of advanced technology. Contemporary multinationals relate to a present-day business primarily engaged to generate profits. These complex multinationals offer value through the manufacture, sale, and management of products and services. Disruptive strategies in operations driven by emerging technological innovations demand continuous business improvements. These insightful opportunities are inclusive of operations, enterprise systems, engineering management, and research. Business sustainability is a strategic priority to deliver exceptional digital solutions. The Fourth Industrial Revolutions (4IR) offer significant technological advancements for total business sustainability. The underlying 4IR technologies include Cyber-Physical Systems (CPS). The collective challenges of a large global business are not easy to predict. CPS protocols deliver sustainable prospects required to integrate and model physical systems in real-time driven by the 4IR implementations. The goal of this thesis is to develop a model (CPS) suitable for self-predicting and to determine ideal operational practice driven by technologies of the 4IR. The model (CPS) seeks a novel tool effective for comprehensive business evaluation and optimisation. The competence of the anticipated tool includes suitability to collaborate current operations and predict the impact of change on a complex business. ..D.Phil. (Engineering Management