7,255 research outputs found

    Towards the Development of an Adaptive Enterprise Service System Model.

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    The continuous adaptation of modern enterprises is largely dependent on their underlying adaptive enterprise architecture capability. However, the establishment of an adaptive enterprise architecture capability requires defining the enterprise context before actually commissioning any enterprise architecture or adaptation work. This paper presents the adaptive enterprise service system (AESS) model based on the “Design Science” research method and “Theory Triangulation” approach. The AESS integrates the enterprise context perspectives from three well-known theories of agility, (agent) system, and service science. The AESS model, as a part of the large adaptive enterprise architecture toolkit, defines a modern enterprise as an adaptive enterprise service system. The adaptive enterprise service system is a multi-agent system of service systems that exhibits agility and focuses on the emerging service-centric view as opposed to a traditional product-centric view. The service-centric view of an enterprise is critical for establishing the adaptive enterprise architecture capability for handling complex enterprise transformations

    An agile-devops reference architecture for teaching enterprise agile

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    Š2019 The authors and IJLTER.ORG. All rights reserved. DevOps emerged as an important extension to support the Agile development for frequent and continuous software delivery. The adoption of Agile-DevOps for large scale enterprise agility depends on the most important human capability such as people competency and experience. Hence, academic education and professional training is key to the successful adoption of Agile-DevOps approach. Thus, education and training providers need to teach Agile-DevOps. However, the challenge is: how to establish and simulate an effective Agile-DevOps technology environment for teaching Enterprise Agile? This paper introduces the integrated Adaptive Enterprise Project Management (AEPM) and DevOps Reference Architecture (DRA) approach for adopting and teaching the Agile-DevOps with the help of a teaching case study from the University of Technology - Sydney (UTS), Australia. These learnings can be utilised by educators to develop and teach practice-oriented Agile-DevOps for software engineering courses. Furthermore, the experience and observations can be employed by researchers and practitioners aiming to integrate Agile-DevOps at the large enterprise scale

    Enterprise Engineering and Management at the Crossroads

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    The article provides an overview of the challenges and the state of the art of the discipline of Enterprise Architecture (EA), with emphasis on the challenges and future development opportunities of the underlying Information System (IS), and its IT implementation, the Enterprise Information System (EIS). The first challenge is to overcome the narrowness of scope of present practice in IS and EA, and re-gain the coverage of the entire business on all levels of management, and a holistic and systemic coverage of the enterprise as an economic entity in its social and ecological environment. The second challenge is how to face the problems caused by complexity that limit the controllability and manageability of the enterprise as a system. The third challenge is connected with the complexity problem, and describes fundamental issues of sustainability and viability. Following from the third, the fourth challenge is to identify modes of survival for systems, and dynamic system architectures that evolve and are resilient to changes of the environment in which they live. The state of the art section provides pointers to possible radical changes to models, methodologies, theories and tools in EIS design and implementation, with the potential to solve these grand challenges.Griffith Sciences, School of Information and Communication TechnologyNo Full Tex

    Exploring loose coupling in system interaction

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    The concept of loose coupling is used in various disciplines, such as organisation science, computer science, information systems and geography, but its definition and application is elusive. In this paper we investigate the roots and meanings of the concept, and ask two research questions: (i) How is the concept of loose coupling used within streams of IS research? And (ii) how can we apply the concept to design the system interaction within the field of IS? Our method is a systematic review of the literature, where we identify the definitions and uses, conduct a cross-disciplinary meta-analysis, and deduct a framework for analysing and using the principle of loose coupling. We then discuss implications for the dynamics of information infrastructures. We offer two contributions. First, we provide a comprehensive overview of the loose coupling research, and gives rich insight into uses of the concept. Second, we propose a framework where we synthesize the insights

    An Open Platform for Modeling Method Conceptualization: The OMiLAB Digital Ecosystem

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    This paper motivates, describes, demonstrates in use, and evaluates the Open Models Laboratory (OMiLAB)—an open digital ecosystem designed to help one conceptualize and operationalize conceptual modeling methods. The OMiLAB ecosystem, which a generalized understanding of “model value” motivates, targets research and education stakeholders who fulfill various roles in a modeling method\u27s lifecycle. While we have many reports on novel modeling methods and tools for various domains, we lack knowledge on conceptualizing such methods via a full-fledged dedicated open ecosystem and a methodology that facilitates entry points for novices and an open innovation space for experienced stakeholders. This gap continues due to the lack of an open process and platform for 1) conducting research in the field of modeling method design, 2) developing agile modeling tools and model-driven digital products, and 3) experimenting with and disseminating such methods and related prototypes. OMiLAB incorporates principles, practices, procedures, tools, and services required to address the issues above since it focuses on being the operational deployment for a conceptualization and operationalization process built on several pillars: 1) a granularly defined “modeling method” concept whose building blocks one can customize for the domain of choice, 2) an “agile modeling method engineering” framework that helps one quickly prototype modeling tools, 3) a model-aware “digital product design lab”, and 4) dissemination channels for reaching a global community. In this paper, we demonstrate and evaluate the OMiLAB in research with two selected application cases for domain- and case-specific requirements. Besides these exemplary cases, OMiLAB has proven to effectively satisfy requirements that almost 50 modeling methods raise and, thus, to support researchers in designing novel modeling methods, developing tools, and disseminating outcomes. We also measured OMiLAB’s educational impact

    Digital Leadership

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    Customers are demanding services using evolving technologies, and firms need agility in the way systems are designed and delivered to quickly meet customer expectations. Such agility is in fact an organizational capability where a combination of internal and supplier/partner resources allow firms to quickly create customer value propositions and deliver value through digital services, that is, services using advanced digitization. Leadership that enables such a customer-centric and service-driven culture using technology is referred to as digital leadership. This chapter develops a 10-step methodology not only to show how an innovative value proposition moves from conception to implementation using an agile system and business architecture, but also to lead to the next set of innovations for review. This methodology, developed over four years iteratively using over 100 graduate student projects, is briefly illustrated through two case examples

    Urban Computing and Smart Cities: Towards Changing City Processes by Applying Enterprise Systems Integration Practices

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    For developing smart cities, it is necessary to integrate all components of a city as a system of systems. This is facilitated by urban computing as a technology to address the complexity of providing adequate services to citizens through various city sectors/systems. Since business processes across city sectors/systems should be aligned with the objectives of urban computing, Business Process Change (BPC) is also a significant prerequisite of city systems integration for Smart City Development (SCD). However, there is limited research on understanding of BPC and its challenges in SCD, while in the private sector, the BPC best practices for Enterprise Systems Integration (ESI) have already been recognised and implemented. By considering city as an enterprise, this research aims at providing an understanding of similarities and differences between BPC challenges in the two contexts: SCD and ESI. This study collects data through literature analyses, interviews, and document analyses and suggests that many BPC challenges in SCD have an equivalent from the ESI context. In addition, the findings provide new insights through some challenges that are only relevant to the SCD context, so-called unsolved challenges. Consequently, the study developed a comparison framework, which indicates that the learnings from ESI could be utilised for the SCD context, in order to address BPC challenges. This will assist city authorities in designing their SCD roadmap, prioritising BPC challenges based on the efforts employed for ESI, and thinking about addressing unsolved challenges; as well as smart city solution providers to develop solutions for changing city processes

    Practices that organizations employ to enhance business intelligence agility

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    In today's rapidly changing business environment, organizations strive to be agile in order to accommodate changes and seize opportunities. Since organizations use information system as a tool to serve their needs, it is important for these systems also to be agile. One prominent type of such systems is business intelligence, which provides organizations with information to gain and retain competitive advantage. This thesis focuses on business intelligence agility, which is widely discussed in practice however not extensively covered in information systems literature. Therefore, this thesis seeks to identify the practices employed by organizations to enhance business intelligence agility. To find the answer to the research question this thesis first compiles a theoretical framework on business intelligence, information systems agility in general and business intelligence agility in specific using academic literature and market white papers. This compiled framework is comprised of four enabling factors 1) sensing business changes, 2) development approach, 3) IT governance, and 4) technical factors. This thesis conducts a qualitative research based on semi-structured interviews with business intelligence experts. Based on analysis of the empirical data this thesis identified a set of practices organized in terms of the enabling factors. The practices in sensing business changes are enabling business staff to sense changes and incorporating business staff feedback into data requirements. Regarding development approach, this thesis identifies the practices as applying an iterative development approach, building collaborative team of skilled members, enabling a centric role of business staff, reducing use of approval documents and learning from each project. In IT governance, applying a centralized or decentralized development were the two practices. Regarding practices in technical factors, this thesis identifies integrating data through either building an enterprise-wide data warehouse or applying an appropriate modeling approach while managing multiple data warehouses, using multiple front-end applications, and adopting cloud business intelligence. The findings of this thesis provide organizations with a pool of practices that can be used to enhance business intelligence agility
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