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A complex and dynamic IT landscape with evermore digital elements, relations, and content presents a challenge for Enterprise Architecture (EA). Disparate digital repositories, including Knowledge Management Systems (KMS), Enterprise Content Management Systems (ECMS), and Enterprise Architecture Tools (EAT), often remain disjointed. And even if integrated, insights remain hindered by current visualization limitations, making it increasingly difficult to analyze, manage, and gain insights into the digital enterprise reality. This paper contributes our nexus-based Virtual Reality (VR) solution concept VR-EA+TCK that enhances and amalgamates EAT with KMS and ECMS capabilities. By enabling visualization, navigation, and interaction in VR with dynamically-generated EA diagrams, knowledge/value chains, and KMS/ECMS digital entities, it sets the groundwork for stakeholder-accessible grassroots enterprise modeling/analysis and future collaboration in a metaverse. An implementation shows its feasibility, while a case study demonstrates its potential using enterprise analysis scenarios: ECMS/KMS coverage in the EA, business processes, knowledge chains, Wardley Maps, and risk analysis.
A Context and Augmented Reality BPMN and BPMS Extension for Industrial Internet of Things Processes
(2022)
In the context of Industry 4.0, smart factories enable a new level of highly individualized and very efficient production, driven by highly automated processes and connected Industrial Internet of Things (IIoT) devices. Yet the IIoT process context, crucial for operational process enactment, cannot be readily represented in processes as currently modeled. Despite automation progress, manual tasks performed by humans (such as maintenance) remain, and while complicated tasks can be supported by Augmented Reality (AR) devices, they remain insufficiently integrated into global production processes. To seamlessly integrate process automation, IIoT context, and AR, this paper contributes BPMN-CARX, a Context and Augmented Reality eXtension (CARX) for BPMN (Business Process Model and Notation) and the CARX Framework, which enables AR and IIoT context integration with existing Business Process Management Systems (BPMSs). An Industry 4.0 case study demonstrates its feasibility and applicability.
Software models in the Unified Modeling Language (UML) can been created or automatically reverse-engineered and used for quickly gaining structural insights into larger, legacy, or unfamiliar software. But as the size, structural complexity, and interdependencies between software components in larger systems grows, two-dimensional viewing and modeling has limitations, and new ways of visualizing larger models and numerous associated diagrams of different types are needed to intuitively convey structural and relational insights. To investigate the feasibility of using Virtual Reality (VR) to create an immersive UML-based software modeling experience, this paper contributes a VR solution concept for visualizing, navigating, modeling, and interacting with software models using UML notation. An implementation shows its feasibility while an empirical evaluation highlights its potential.
The digital transformation occurring in enterprises results in an in- creasingly dynamic and complex IT landscape that in turn impacts enterprise architecture (EA) and its artefacts. New approaches for dealing with more com- plex and dynamic models and conveying EA structural and relational insights are needed. As EA tools attempt to address these challenges, virtual reality (VR) can potentially enhance EA tool capabilities and user insight but further investigation is needed in how this can be achieved. This paper contributes a VR solution concept for visualizing, navigating, and interacting with EA tool dynamically-generated diagrams and models using the EA tool Atlas. An im- plementation shows its feasibility and a case study using EA scenarios is used to demonstrate its potential.
Nowadays, businesses with focus on consumer-products are challenged by short production cycles, high pricing pressure, and the need to deliver new features and services in a regular interval. Currently, businesses are tackling these challenges by automating their business pro- cesses, while yet trying to be flexible by introducing methods for process variability modeling. However, for larger processes and variability models, it becomes difficult to consider, maintain, and optimize all process variations in the various execution contexts. In software development, highly agile requirements are usually tackled with a flexible microservice architecture. Nonetheless, the fast-changing service landscape is often not fully reflected in the underlying business processes, leading to inefficiency and loss of profit. With this work, we extend our framework for process variability modeling with concepts of Microflows, allowing agile business process modeling and orchestration while utilizing the full flexibility of underlying microservices. In addition, we present a case study, showing how this approach is used in the context of an IoT application
VR-EA: Virtual Reality Visualization of Enterprise Architecture Models with ArchiMate and BPMN
(2019)
The digital transformation occurring throughout enterprises results in an increasingly dynamic and complex IT landscape. As the structures with which enterprise architecture (EA) deals become more digital, larger, complex, and dynamic, new approaches for modeling, documenting, and conveying EA structural and relational aspects are needed. The potential for virtual reality (VR) to address upcoming EA modeling challenges has as yet been insufficient- ly explored. This paper contributes a VR hypermodel solution concept for visu- alizing, navigating, interacting with ArchiMate and Business Process Modeling Notation (BPMN) models in VR. An implementation demonstrates its feasibil- ity and a case study is used to show its potential.
Purpose: Usually, a theory of attention upon gazed-at locations is applied. More parameters than gaze location can be derived to improve the theory of attention allocation. The aim of this study was to identify parameters related to eye tracking, that are suitable indicators of attention.
Methods: Binocular eye tracking data was collected with the Eye Tribe tracking system (The Eye Tribe Aps, Copenhagen, Denmark) for the task of visual exploration of the painting “Unexpected Visitors” by Ilya Repin. 20 subjects (valid data: 19/20) had to look at this painting for about two and a half minutes in order to generate fatigue and inattention. In a second step, suitable parameters of attention were transferred to a data set (8 subjects, valid data: 6/8) on a perimetric task executed with the OCTOPUS 900 perimeter (Haag-Streit, Köniz, Switzerland). Monocular parameters could be applied on the perimetric task, the error rate (false positive and false negative catch trials, 5 % each) were taken as additional parameter.
Results: For the image viewing task, the only parameter showing significance was the average level (a10) of fatigue waves (p = 0.00024, ANOVA, ∆ = -0.8316 px). Blink duration (∆ =-270.4 ms), pupil variability (∆ = -0.17868), saccade length (∆ =-0.3135 px) and fixation duration (∆ = 186.5 ms) did not change significantly, but showed relevant trends by differences ∆ of their median between the first and last tenth of the recording time. Blink rate and the Index of Cognitive Activity (ICA) did neither show significant changes nor relevant trends. Vergence accuracy failed to indicate fatigue due to variability between subjects and comparatively small effect size. For the perimetric data, in 3 of 6 subjects fatigue waves over a limited time window could be observed. Only for one subject, a relevant increase in false negative responses to catch trials (50 percentage points) could be observed.
Conclusion: Pupil diameter variability, saccade length, fixation duration and fatigue waves were the parameters indicating fatigue. Only the latter parameter has the potential to be applied to perimetric data.
In a world where customers are exposed to advertisement and marketing messages on a daily basis, traditional marketing has almost lost its power. Especially, younger persons simply don`t have the time or the patience anymore to listen to every single marketing message out there. This forces marketers to search for new ways to reach their customers. Nowadays they are not anymore focusing on ways to reach the customer directly but try to communicate their message indirectly via persons who are not necessarily involved in the marketing industry. Marketers define those persons as so-called influencers. Influencers can be individuals writing blogs or publishing articles in online forums as well as friends suggesting a special product they recently bought. After addressing basic topics like influencer marketing, the social web and the customer journey, I will head on with the main part of the thesis focusing on the different influencer categories and the methods for companies or brands to identify and control these influencers in a social web environment. The Web 2.0 has made this process a lot easier for companies since they are now able to use services like social influence scoring platforms to do so. An in-depth analysis of the algorithms and measurement processes used by those platforms will show the pros and cons of this method. Finally I will point out which influencer types would be helpful in each stage of the customer journey to generate sales as well as external elements capable of altering the influencer`s marketing message.
Almost unlimited potential is seen in the offshore wind industry due to the exist-ence of stronger, steadier winds over the open sea and therefore it is expected to experience a remarkable growth. Wind power is one of the fastest-growing energy sources around the world and has great potential to offer clean and abundant ener-gy. Unlike onshore, where the landscape, trees and buildings distort the flow of the wind, there are no obstacles that influence the wind speed offshore, leading to a much more efficient energy generation potential.
On the other hand, unknown to the vast public, there are several technical, infra-structural, and financial challenges facing the offshore wind industry, such as the dependence on wind-speed, the complex installation and operation process of wind farms offshore, as well as the harsh marine conditions and other challenges which are caused by the fact that the offshore wind industry still is a relatively immature market.