ENTERPRISE-LEVEL PACKAGED SOFTWARE ACQUISITION: A STRUCTURED LITERATURE REVIEW THROUGH THE LENS OF IT GOVERNANCE

Enterprise-level packaged software is gaining in importance across organizations. Increasingly, organizations decide to purchase packaged software solutions. However, the acquisition of these software packages is carried out in risky and complex acquisition projects. Implementing the right governance structures and procedures can help to avoid errors and problems in this phase, which could severely impact implementation and usage of the procured systems in the future. The current body of knowledge on software acquisition governance is scarce, scattered, and in need of integration. Therefore, this study endeavors to perform a structured literature review which assesses the current state-of-the-art in software acquisition, focusing on IT governance-related aspects. Three main topics are identified and elaborated: the selection of software, the software acquisition process, and influncing factors. Based on these extant findings, this study integrates and synthesizes the separate research streams through the conceptual lens of IT governance. This literature review can help decision makers in organizations with optimizing their software procurement processes, governance, and behaviors and builds a foundation for further research on this increasingly relevant topic

Scaling Agility in Incumbent Firms: A Literature Review

Scaling agility as a process of applying agile concepts to more extensive parts of the organization promises incumbent firms to achieve the same benefits as their digital competitors. However, copying digital-born companies\u27 approaches seems problematic, as incumbent firms are distinct from their digital competitors. Thus, this research aims to consolidate what we know about scaling agility in incumbent firms. To answer this question, I conduct a structured literature review to understand scaling agility for incumbent firms better, resulting in the four dimensions of structure, methodology, governance, and dependencies with nine themes: coordination, processes, roles, effectiveness, risk management, budgeting, measurement, architecture, and culture/mindset. Moreover, the review develops six avenues for future research. With this, the literature review provides an integrative picture of scaling agility, enhances conceptual clarity, and helps practitioners by providing an overview to use in their efforts to scaling agility in incumbent firms

Planning for Digital Transformation: Implications for Institutional Enterprise Architecture

Enterprise Architecture (EA) and its management have received considerable attention from the academic and practical audience. Despite a very wide treatment on EA, research on EA in the academic sector has not received similar attention till date. There is also a growing interest on digital transformation with evidences suggesting that academic institutions have increased their investment into digital technology which prompts a need to reflect on how this technology affects these institutions and the educational processes. In the dissertation, we propose to link these concerns based on three research issues, through which we explore the objectives an academic institute wants to achieve in planning for digital transformation and the necessary institutional readiness factors of a digital enterprise architecture, and then propose a design framework to support the endeavour. The dissertation employs both qualitative and quantitative research methodologies. Implications for research and practice are also delineated at the end

A Tentative Framework for Risk and Opportunity Detection in A Collaborative Environment Based on Data Interpretation

This article deals with the question of risk and opportunity identification based on data management as one main step of the convergence of artificial intelligence and industrial engineering. Two main subjects are addressed in this article: (i) the data management framework that could be the backbone for the whole approach, and (ii) the modeling theoretical background that could be used as a basement for the definition of a formal system for risk and opportunity modeling. The general principles presented in the article are used to define outlooks and to organize them as milestone of a roadmap

Bridging Web 4.0 and Education 4.0 For Next Generation User Training in ERP Adoption

This study addresses the critical issue of user comprehension and application within the sphere of cloudbased Enterprise Resource Planning (ERP) systems, a recurrent challenge exacerbated by the intricate nature of these systems. To bridge the existing gaps in training methodologies, a novel paradigm that synergizes Web 4.0 and Education 4.0 modules with traditional ERP systems is proposed. This innovative framework ushers in a paradigm shift in ERP adoption strategies, promising a marked enhancement in user interaction and efficiency. Rigorous qualitative evaluations, conducted with expert panels and potential end-users, provided robust validation of the framework's transformative potential in the realm of user training for ERP systems. This pioneering approach not only makes a substantial academic contribution by reframing the perception of ERP systems but also holds a significant practical value in ameliorating the user experience with cloud-based ERP systems. In essence, the adoption of a Web 4.0-oriented approach in user training heralds a revolutionary shift in ERP adoption strategies, setting a solid foundation for future explorations in this domain

Using agent based simulation to empirically examine complexity in carbon footprint business process

Through the critical analysis of the extant literature, it is observed that Simulation is widely used as a research method in Natural Sciences, Engineering and Social Sciences, in addition to argumentation and formalisation as the third way of carrying out research. Simulation is not so widely used in Business and Management research as it ought to have been, though this is changing for the better with the technological advances in computers and their computational power. These technological advances enhance the capability of theoretical research models, in defining a problem and their use in empirically examining a solution to the problem in simulated reality, like never before. Management journal searches for “Simulation and Complexity Theory” returned nil or zero returns, which explain that this combination is not popular in management research, though they are used individually more often. The major objective of this paper is to analyse some of the conceptual (or theoretical) and methodological (or empirical) contributions that Agent Based Simulation and Complexity Theory can make to the business and management community in their business process related research In view of this, some basic ideas are discussed of using Agent Based Simulation as a method in Business and Management Studies research and how an Agent Based Model can be applied to a business process as complex as Carbon Footprint. It is in this context that the use of Complexity as the base theory to empirically examine a business process is discussed. Throughout this article, our research on complex adaptive systems (e.g., Accounting Information System) in continuously changing organisations managing complex business processes (e.g., Carbon Footprint business process) is considered as the basis for illustrating some of the concepts. Through this article, avenues for further management research using these tools and methodology are suggested