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

An Integrated View on the Future of Logistics and Information Technology

In this position paper, we present our vision on the future of the logistics business domain and the use of information technology (IT) in this domain. The vision is based on extensive experience with Dutch and European logistics in various contexts and from various perspectives. We expect that the vision also holds for logistics outside Europe. We build our vision in a number of steps. First, we make an inventory of the most important trends in the logistics domain - we call these mega-trends. Next, we do the same for the information technology domain, restricted to technologies that have relevance for logistics. Then, we introduce logistics meta-concepts that we use to describe our vision and relate them to business engineering. We use these three ingredients to analyze leading concepts that we currently observe in the logistics domain. Next, we consolidate all elements into a model that represents our vision of the integrated future of logistics and IT. We elaborate on the role of data platforms and open standards in this integrated vision.Comment: 22 pages, 7 figures, 3 table

The Interplay between Cloud-based SOA and IT Departments: Research Directions

Cloud-based SOA refers to an application architecture within which all functionalities are defined as independent serviceswith cloud-based APIs that can be used to leverage external computing resources through ubiquitous Internet access. Thispaper uses cloud-based SOA as a new form of IT-enabled enterprise transformation to reconceptualize the roles of ITdepartments. A proposed conceptual framework argues that IT departments and cloud-based SOA are mutually influenced.Upon reviewing relevant literature, this paper suggests that research should reexamine critical success factors in cloud-basedSOA implementations and investigate influences of cloud-based SOA implementations in the reconstruction of ITdepartments. Research questions and propositions are developed to guide research in this area

Digital Transformation and Social Business: A Practice-Based Pathway Framework for SMEs

This research focuses on the lessons learnt from case studies involving the digital transformation of three London SMEs. The companies adopted social technologies to renovate operations, develop new sets of skills and capabilities and remodel customer value propositions. The transformation processes had common elements that fed through to the companies’ strategies. We conceptualised our research as a network, regarding roles and interventions as network effects, to analyse the adoption process and dynamically link the technology and social context with digital transformation strategy. The lessons learned were distilled into a framework whose two-fold aim is to (a) support organisations through digital transformation and (b) inform organisational strategy. The framework is modular with components that assist and guide the various phases of designing, deploying, implementing and sustaining this transition

Successful Operational Cyber Security Strategies for Small Businesses

Cybercriminals threaten strategic and efficient use of the Internet within the business environment. Each year, cybercrimes in the United States cost business leaders approximately $6 billion, and globally,$445 billion. The purpose of this multiple case study was to explore the operational strategies chief information security officers of high-technology companies used to protect their businesses from cyberattacks. Organizational learning theory was the conceptual framework for the study. The population of the study was 3 high-technology business owners operating in Florida who have Internet expertise and successfully protected their businesses from cyberattacks. Member checking and methodological triangulation were used to valid the data gathered through semistructured interviews, a review of company websites, and social media pages. Data were analyzed using thematic analysis, which supported the identification of 4 themes: effective leadership, cybersecurity awareness, reliance on third-party vendors, and cybersecurity training. The implications of this study for positive social change include a safe and secure environment for conducting electronic transactions, which may result in increased business and consumer confidence strengthened by the protection of personal and confidential information. The creation and sustainability of a safe Internet environment may lead to increased usage and trust in online business activities, leading to greater online business through consumer confidence and communication

Re-Examining the Jennex Olfman Knowledge Management Success Model

The Jennex and Olfman KM success model was first published at HICSS in 2004 and in the International Journal of Knowledge Management in 2006. Since then there has been many technology changes and innovations as well as further research on KM success. This paper re-examines the Jennex Olfman model and suggests a newer model that incorporates the past ten years of research and technology innovation

The Impact of Deep Learning on Organizational Agility

Artificial intelligence advances business model, strategizes competitive resources, and impacts on organizational agility. Deep learning as a subset of AI brings changes in different aspects that substantially influences organizational capabilities. We argue that deep learning enables new conceptualization of organizational agility. We will conduct a case study in a leading Chinese FinTech company to inductively ground these impacts

Enhancing Institutional Assessment and Reporting Through Conversational Technologies: Exploring the Potential of AI-Powered Tools and Natural Language Processing

This study explores the potential of conversational technologies, AI-powered tools, and natural language processing (NLP) in enhancing institutional assessment and reporting processes in higher education. The traditional approach to assessment often involves labor-intensive manual analysis of extensive data and documents, which burdens institutions. To address these challenges, AI-powered tools, such as ChatGPT, LangChain, Poe, Claude, and others, along with NLP techniques, are investigated in relationship to their ability to improve institutional assessment practices and output. By leveraging these advanced technologies, assessment officers and institutional effectiveness, researchers can engage in dynamic conversations with data, transforming spreadsheets and documents from static artifacts into interactive resources. These tools streamline communication, collaboration, and decision-making processes, empowering committees and working groups to achieve their goals effectively. Additionally, the potential applications of NLP in analyzing vast amounts of institutional data, including student feedback, faculty evaluations, and institutional documents, shall be discussed. Language models enable the extraction of meaningful insights from unstructured data sources, facilitating real-time decision-making processes. Ethical considerations related to data privacy, mining, and compliance with regulations like FERPA are crucial aspects addressed in this study. The contribution of this research lies in uncovering the transformative impact of conversational technologies, AI-powered tools, and NLP techniques on institutional assessment and reporting. By embracing these advancements responsibly and ensuring alignment with ethical principles, institutions can unlock the full potential of these tools, facilitating more efficient, data-driven decision-making processes in higher education. The study showcases how conversational technologies, AI-powered tools, and NLP techniques offer new possibilities for improving institutional assessment and reporting practices. By integrating these technologies responsibly and addressing ethical considerations, institutions can enhance their assessment processes and make more informed decisions based on comprehensive, real-time insights

Business process modelling in ERP implementation literature review

Business processes are the backbone of any Enterprise Resource Planning (ERP) implementation. Business process modelling (BPM) has become essential for modern, process driven enterprises due to the vibrant business environments. As a consequence enterprises are dealing with a substantial rate of organizational and business processes change. Business process modelling enables a common understanding and analysis of the business processes, which is the first step in every ERP implementation methodology (blueprint phase). In order to represent enterprise processes models in an accurate manner, it is paramount to choose a right business process modeling technique and tool. The problem of many ERP projects rated as unsuccessful is directly connected to a lack of use of business process models and notations during the blueprint phase. Also, blueprint implementation phase is crucial in order to fit planned processes in an organization with processes implemented in the solution. However, business analysts and ERP implementation professionals have substantial difficulties to navigate through a large number of theoretical models and representational notations that have been proposed for business process modeling (BPM). As the availability of different business process modeling references is huge, it is time consuming to make review and classification of all modeling techniques. Therefor, in reality majority of ERP implementations blueprint documents have no business process modeling included in generating blueprint documents. Choosing the right model comprise the purpose of the analysis and acquaintance of the available process modelling techniques and tools. The number of references on business modelling is quit large, so it is very hard to make a decision which modeling notation or technique to use. The main purpose of this paper is to make a review of business process modelling literature and describe the key process modelling techniques. The focus will be on all business process modeling that could be used in ERP implementations, specifically during the blueprint phase of the implementation process. Detailed review of BPM (Business process modeling) theoretical models and representational notations, should assist decision makers and ERP integrators in comparatively evaluating and selecting suitable modeling approaches