DIGITAL CO-CREATION Digitalization within Service Design : Transformation from analog thinking towards digital doing

The German automotive industry has accelerated its digital transformation as OEMs (Original Equipment Manufacturers) moving from car manufacturers towards becoming mobility providers, striving for new mobility solutions like offering Mobility as a Service (MaaS), Electric Vehicles (EVs) and Self-Driving-System (SDS). OEMs focus on expanding their core product-driven businesses to access service-orientated business models, the transformation from ownership towards shared mobility. Considering internal and external factors, this requires a new set of expertise, capabilities and an underlying approach to fulfill the demands in the complexity of human-centered development and front- and backstage alignment within the organization. At the same time, Service Design as a practice has risen in attraction by industry, being recognized and increasingly requested for its integration in the functions and divisions of the organization. The scale of Service Design in influence and impact has reached professional practice, making its way from a trendy buzzword to professional practice of turning complex problems collaboratively into tangible solutions. It is seen as a powerful opportunity for combining Business, Human-Centered Design and Engineering. Service Design establishes new ways of exploring business opportunities towards agile problem-solving but focuses on the ‘doing’ side towards further implementation. The contribution of this industrial-based doctoral thesis shall define how Service Design can be deployed and implemented in the field of organizational transformation and mobility development in the era of digital transformation (Digitalization). This research approach seeks to acquire new knowledge on how the Service Design practice can be applied and executed to be perceived as a practical approach to improve the enterprise’s processes and operating procedures and also provide a strategy to grow Service Design within the organization. This research has followed developing a pilot in a lean start-up approach of build, measure, learn with various business units and brands within the Volkswagen Group, this also implies that this research case study consisted of analyzing the Volkswagen Group needs for Service Design. The ‘10X-Service Design Lab’ (10X-SDL) has been designed as the framework of a combination of modular lab space, facilitation enhanced process, methodological driven tool box, operational model in alignment with a digital workflow and workspace striving for accelerated decision making. It is based on the hypothesis that the proposed framework enhances Service Design practice and, at the same time, it increases its attractiveness for business purposes. The 10X-SDL is designed to accelerate project development in a human-centered and holistic way by an open workspace platform lead by facilitators on which project developers, participants, and stakeholders can digitally co-create products, services, systems, and strategies. This research has been conducted as a case study within the Volkswagen Group from 2015 to 2019 in cooperation with the main partners of Service Innovation Corner (SINCO) of the University of Lapland and visual collaboration software company DEON

Enterprise Agility: Why Is Transformation so Hard?

Enterprise agility requires capabilities to transform, sense and seize new business opportunities more quickly than competitors. However, acquiring those capabilities, such as continuous delivery and scaling agility to product programmes, portfolios and business models, is challenging in many organisations. This paper introduces definitions of enterprise agility involving business management and cultural lenses for analysing large-scale agile transformation. The case organisation, in the higher education domain, leverages collaborative discovery sprints and an experimental programme to enable a bottom-up approach to transformation. Meanwhile the prevalence of bureaucracy and organisational silos are often contradictory to agile principles and values. The case study results identify transformation challenges based on observations from a five-month research period. Initial findings indicate that increased focus on organisational culture and leveraging of both bottom-up innovation and supportive top-down leadership activities, could enhance the likelihood of a successful transformation

A Framework for Evaluating Model-Driven Self-adaptive Software Systems

In the last few years, Model Driven Development (MDD), Component-based Software Development (CBSD), and context-oriented software have become interesting alternatives for the design and construction of self-adaptive software systems. In general, the ultimate goal of these technologies is to be able to reduce development costs and effort, while improving the modularity, flexibility, adaptability, and reliability of software systems. An analysis of these technologies shows them all to include the principle of the separation of concerns, and their further integration is a key factor to obtaining high-quality and self-adaptable software systems. Each technology identifies different concerns and deals with them separately in order to specify the design of the self-adaptive applications, and, at the same time, support software with adaptability and context-awareness. This research studies the development methodologies that employ the principles of model-driven development in building self-adaptive software systems. To this aim, this article proposes an evaluation framework for analysing and evaluating the features of model-driven approaches and their ability to support software with self-adaptability and dependability in highly dynamic contextual environment. Such evaluation framework can facilitate the software developers on selecting a development methodology that suits their software requirements and reduces the development effort of building self-adaptive software systems. This study highlights the major drawbacks of the propped model-driven approaches in the related works, and emphasise on considering the volatile aspects of self-adaptive software in the analysis, design and implementation phases of the development methodologies. In addition, we argue that the development methodologies should leave the selection of modelling languages and modelling tools to the software developers.Comment: model-driven architecture, COP, AOP, component composition, self-adaptive application, context oriented software developmen

Iterative criteria-based approach to engineering the requirements of software development methodologies

Software engineering endeavours are typically based on and governed by the requirements of the target software; requirements identification is therefore an integral part of software development methodologies. Similarly, engineering a software development methodology (SDM) involves the identification of the requirements of the target methodology. Methodology engineering approaches pay special attention to this issue; however, they make little use of existing methodologies as sources of insight into methodology requirements. The authors propose an iterative method for eliciting and specifying the requirements of a SDM using existing methodologies as supplementary resources. The method is performed as the analysis phase of a methodology engineering process aimed at the ultimate design and implementation of a target methodology. An initial set of requirements is first identified through analysing the characteristics of the development situation at hand and/or via delineating the general features desirable in the target methodology. These initial requirements are used as evaluation criteria; refined through iterative application to a select set of relevant methodologies. The finalised criteria highlight the qualities that the target methodology is expected to possess, and are therefore used as a basis for de. ning the final set of requirements. In an example, the authors demonstrate how the proposed elicitation process can be used for identifying the requirements of a general object-oriented SDM. Owing to its basis in knowledge gained from existing methodologies and practices, the proposed method can help methodology engineers produce a set of requirements that is not only more complete in span, but also more concrete and rigorous

Content-driven design and architecture of E-learning applications

E-learning applications combine content with learning technology systems to support the creation of content and its delivery to the learner. In the future, we can expect the distinction between learning content and its supporting infrastructure to become blurred. Content objects will interact with infrastructure services as independent objects. Our solution to the development of e-learning applications – content-driven design and architecture – is based on content-centric ontological modelling and development of architectures. Knowledge and modelling will play an important role in the development of content and architectures. Our approach integrates content with interaction (in technical and educational terms) and services (the principle organization for a system architecture), based on techniques from different fields, including software engineering, learning design, and knowledge engineering

Early aspects: aspect-oriented requirements engineering and architecture design

This paper reports on the third Early Aspects: Aspect-Oriented Requirements Engineering and Architecture Design Workshop, which has been held in Lancaster, UK, on March 21, 2004. The workshop included a presentation session and working sessions in which the particular topics on early aspects were discussed. The primary goal of the workshop was to focus on challenges to defining methodical software development processes for aspects from early on in the software life cycle and explore the potential of proposed methods and techniques to scale up to industrial applications

Semantic modelling of learning objects and instruction

We introduce an ontology-based semantic modelling framework that addresses subject domain modelling, instruction modelling, and interoperability aspects in the development of complex reusable learning objects. Ontologies are knowledge representation frameworks, ideally suited to support knowledge-based modelling of these learning objects. We illustrate the benefits of semantic modelling for learning object assemblies within the context of standards such as SCORM Sequencing and Navigation and Learning Object Metadata

Using Ontologies for the Design of Data Warehouses

Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a prone-to-fail task. Based on our experience, we have detected a set of situations we have faced up with in real-world projects in which we believe that the use of ontologies will improve several aspects of the design of data warehouses. The aim of this article is to describe several shortcomings of current data warehouse design approaches and discuss the benefit of using ontologies to overcome them. This work is a starting point for discussing the convenience of using ontologies in data warehouse design.Comment: 15 pages, 2 figure