131,563 research outputs found
The strategy and realization of enterprise integration
University of Technology, Sydney. Faculty of Information Technology.In recent years we have experienced exponential growth in business innovation. emerging
technology, and integration complexity. With this unprecedented growth, the priority of
enterprise integration has shifted from patching solutions to the governance of agility.
Enterprise integration mainly deals with interoperability between virtual and physical worlds,
which is thorny by its very nature. In order to cope with rising complexity, interference
coherence between business, service. and physical components is crucial. Instead of
consolidation from fragmentation, an iteration approach is taken in driving concept and
strategy into realization. The empirical statistics indicate that the anatomy of ontological
research is essential for producing an overview of interoperability. The author's numerous
research projects demonstrate a number of factors critical in generating higher productivity
and lower risk. These factors include a higher visibility of atomic elements. a well-specified
service, and a precise architectural alignment.
By taking these successful factors into realization, this thesis proposes enterprise vertical
integration, employing a three-step strategy of componentization, transformation, and
virtualization. Componentization derives an ontology of atomic elements for the
service-based foundation. In transformation. service components are produced from these
raw elements, using a multi-discipline and three-dimensional approach to achieve
component synthesis. The final step, virtualization, is the objective of enterprise integration.
Virtualization establishes the enterprise skeleton and achieves a common-service mainstream
in the industry. Experiential evidence indicates that this higher-level, three-step approach
works effectively in minimizing risk and increasing productivity. There is particular benefit
for projects of higher complexity and larger scale.
Given the incessant business change inherent in our chaotic new age of computing, the
three-step approach relies on a new framework to streamline realization and cope with project
complexity. A Method, Evaluation, Techniques, and Application (META) framework addresses
the interference between virtual and physical layers. In this initial process it develops
component validation, analysis processes, and synthesis techniques for service transformation.
It then develops service components and common services for service virtualization. This
thesis proposes a four-pillared approach to support the META framework. It also proposes
sub-area concepts such as "pattern" and "state" to enhance the capability of the framework
before moving it into the industry mainstream.
This thesis distinguishes itself from existing literature in that very few studies in this field
address real enterprise-scale integration. None of the reviewed literature copes with the
fundamental work of enterprise issues such as ontological research or high-level strategy as
proposed by this thesis
Automatic Configuration of Queueing Network Models from Business Process Descriptions
The purpose of this study was to develop a transformation scheme for automatic configuration of queueing network models from business process descriptions. Such a transformation scheme would enable queueing analysis of process models within an enterprise modeling framework, which is theory driven and links business process descriptions with formal qualitative and quantitative analyses in an integrated manner. A framework of this kind is suitable for next generation enterprises such as e-businesses, virtual enterprises, and global supply chains. The aim of this research was to extend the analysis capability of such an enterprise modeling framework. The transformation scheme uses the process control flow and task resource requirements to create a view where activities belonging to one or more process instances flow through a network of resources. Two alternative approaches were explored to automatically configure a queueing network model from a business process description. The first approach called the single-step approach generates a queueing network model from a business process markup language description. The second approach called the multi-step approach generates a queueing network model from a formal Petri-net based business process representation, which is described using the Petri Net Markup Language (PNML). An XML-based interchange format, called the Queueing Network Markup Language (QNML), was developed as part of this research effort to store queueing network descriptions. As a proof of concept, the transformation scheme was implemented as part of the DIME framework, developed at the Center for Computer Integrated Manufacturing Enterprises, Oklahoma State University. The DIME framework was a result of research funded by the National Science Foundation through grant # DMI-0075588, under the Scalable Enterprise Systems Initiative. Two feasible approaches were developed to automatically configure queueing network models from business process descriptions. This research also led to the development of QNML, a Queueing Network Markup Language, which is a XML-based format to describe queueing network models. This work has also enabled the queueing analysis capability within the DIME framework.Industrial Engineering & Managemen
Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework
The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4.The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4
Activating supply chain business models' value potentials through Systems Engineering
New business opportunities, driven by smart digitalization technology and initiatives such as Industry 4.0, significantly change business models and their innovation rate. The complexity of methodologies developed in recent decades for balancing exploration and exploitation activities of digital transformation has risen. Still, the desired integration levels across organizational levels were often not reached. Systems thinking promises to holistically consider interdisciplinary relationships and objectives of various stakeholders across supply chain ecosystems. Systems theory-based concepts can simultaneously improve value identification and aligned transformation among supply networks' organizational and technical domains. Hence, the study proposes synthesizing management science concepts such as strategic alignment with enterprise architecture concepts and artificial intelligence (AI)-driven business process optimization to increase innovation productivity and master the increasing rate of business dynamics at the same time. Based on a critical review, the study explores concepts for innovation, transformation, and alignment in the context of Industry 4.0. The essence has been compiled into a systems engineering-driven framework for agile value generation on operational processes and high-order capability levels. The approach improves visibility for orchestrating sustainable value flows and transformation activities by considering the ambidexterity of exploring and exploiting activities and the viability of supply chain systems and sub-systems. Finally, the study demonstrates the need to harmonize these concepts into a concise methodology and taxonomy for digital supply chain engineering.OA-hybri
Digital maturity variables and their impact on the enterprise architecture layers
This study examines the variables of digital maturity of companies. The framework for enterprise architectures Archimate 3.0 is used to compare the variables. The variables are assigned to the six layers of architecture: Strategy, Business Environment, Applications, Technology, Physical and Implementation and Migration. On the basis of a literature overview, 15 “digital maturity models” with a total of 147 variables are analyzed. The databases Scopus, EBSCO – Business Source Premier and ProQuest are used for this purpose
Innovation Capacity of Enterprises – Selected Issues
Artykuł poświęcony jest przeglądowi literatury naukowej dotyczącej pojęć i obszarów oraz
specyfiki zdolności innowacyjnej przedsiębiorstw. W drugim punkcie artykułu omówiono pojęcie
oraz rodzaje zdolności innowacyjnej przedsiębiorstw. Zdolność innowacyjna przedstawiana jest
w literaturze naukowej jako koncepcja złożona, wieloczynnikowa i wieloobszarowa, obejmująca
wiele przyczyn o charakterze wewnętrznych i zewnętrznym organizacji, ze szczególną rolą
dynamicznych zdolności, które umożliwiają zarówno podejmowanie innowacji o danym charakterze
i skali, jak i ich efektywną realizację. W trzecim skoncentrowano się na wybranych zagadnieniach
związanych ze specyfiką kształtowania zdolności innowacyjnej, a w szczególności:
motywach, modelach i strategiach kształtowania zdolności innowacyjnej w zależności od cyklu
życia produktu, charakteru innowacji, roli przedsiębiorczości w kształtowaniu zdolności innowacyjnej
przedsiębiorstw. Czynniki te mogą mieć różny wpływ na wynik innowacji, zwłaszcza gdy
są rozpatrywane w izolacji lub w różnych częściach organizacji bez uwzględnienia synergicznych
relacji między nimi
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