Determinants for successful deployment of clinical prediction models : a design science research in the Dutch healthcare sector

Whereas the promises of (predictive) analytics in healthcare are clear and extensively reported, the executive practicalities are not. Mapping the factors that have a hand in the implementation and continuation (i.e. deployment) of such projects improves the execution of prediction models and hence improves diagnostic and prognostic healthcare for patients. This research takes a design science approach to create an artifact aimed at successful deployment of clinical prediction models (CPMs). Through a literature review, various factors that play a role in the deployment of CPMs are categorized. Interviews with an extensive expert panel lead to the development of the CRISP-DM Deployment Extension for CPMs. Next to opinions on the importance of each factor, new in-sights are collected on related topics. A case study at a Dutch hospital allows for the testing of the artifact. A gap analysis is conducted, leading to a practical advice in terms of successful deployment. The research concludes with a proposed deployment strategy and a list of eight recommendations that can be considered the determinants for successful deployment of clinical prediction models

After the success of DevOps introduce DataOps in enterprise culture

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementA lot of organizations implemented DevOps processes with success. This allowed different areas like development, operations, security and quality work together. This cooperation, and processes associated to the work with these areas are producing excellent results. The organizations are developing many applications that support operation and are producing a lot of data. This data has a significant value for organizations because must be used in analysis, reporting and more recently data science projects to support decisions. It is time to take decisions supported in data and for this is necessary to transform organizations in a data-driven organizations and for this we need processes to deal with this data across all teams. This dissertation follows a design science research approach to apply multiple analytical methods and perspectives to create an artifact. The type of evidence within this methodology is a systematic literature review, with the goal to attain insights into the current state-of-the art research of DataOps implementation. Additionally, proven best practices from the industry are examined in depth to further strengthen the credibility. Thereby, the systematic literature review shall be used to pinpoint, analyze, and comprehend the obtainable empirical studies and research questions. This methodology supports the main goal of this dissertation, to develop and propose evidence-based practice guidelines for the DataOps implementation that can be followed by organizations

Carving out new business models in a small company through contextual ambidexterity: the case of a sustainable company

Business model innovation (BMI) and organizational ambidexterity have been pointed out as mechanisms for companies achieving sustainability. However, especially considering small and medium enterprises (SMEs), there is a lack of studies demonstrating how to combine these mechanisms. Tackling such a gap, this study seeks to understand how SMEs can ambidextrously manage BMI. Our aim is to provide a practical artifact, accessible to SMEs, to operationalize BMI through organizational ambidexterity. To this end, we conducted our study under the design science research to, first, build an artifact for operationalizing contextual ambidexterity for business model innovation. Then, we used an in-depth case study with a vegan fashion small e-commerce to evaluate the practical outcomes of the artifact. Our findings show that the company improves its business model while, at the same time, designs a new business model and monetizes it. Thus, our approach was able to take the first steps in the direction of operationalizing contextual ambidexterity for business model innovation in small and medium enterprises, democratizing the concept. We contribute to theory by connecting different literature strands and to practice by creating an artifact to assist managemen

Business intelligence in performance management of agile programs

Abstract. This thesis was conducted for a case company with the primary objective of designing a business intelligence dashboard to be used in the management of agile programs. The aim is to increase the knowledge within the topic and to solve problems that the case company has with the lack of coherent and modern data-driven performance management practices. One of the paramount objectives of this thesis is to reduce the time consumed for manual performance reporting activities and therefore improve the productivity and efficiency within the program management processes and practices. Design science is used as the primary research method in this study. However, the existing literature is also reviewed to explore what has already been studied within the topic and to identify the best practices to be exploited in designing the dashboard. The current state analysis of the case company is conducted and requirements for the dashboard are identified via a survey and interviews. Based on empirical research, two business intelligence dashboards are designed to cover the identified use cases for the performance management of agile programs. This thesis contributes to program management and business intelligence research. Especially, agile program management is discussed at a rather practical level and a set of performance metrics to be used in it is proposed. The use of business intelligence is demonstrated through performance management methods. The results of this study can also be used for further research purposes. Therefore, this study makes clear scientific contributions in addition to the evident practical implications.Tiivistelmä. Tämän opinnäytetyön tavoitteena on suunnitella kohdeyritykselle business intelligence-raportointinäkymät hyödynnettäväksi ketterien ohjelmien johtamisessa. Työssä pyritään tarjoamaan ratkaisu kohdeyrityksen ongelmiin ja parantamaan johdonmukaisuutta nykypäiväisten datalähtöisten suorituskyvyn johtamiskäytäntöjen kautta. Yksi tämän opinnäytetyön keskeisimmistä tavoitteista on saada vähennettyä manuaalisiin raportointitoimenpiteisiin kuluvaa aikaa ja siten parantaa ohjelmajohtamisprosessien ja -käytäntöjen tehokkuutta ja tuottavuutta. Pääasiallisena tutkimusmenetelmänä työssä käytetään Design Science -menetelmää. Aikaisempia tutkimuksia käydään läpi osana kirjallisuuskatsausta, jotta saadaan kartoitettua, mitä aiheen ympärillä on jo aikaisemmin tutkittu. Aikaisempia tutkimustuloksia hyödynnetään myös hyvien käytäntöjen selvittämisessä raportointinäkymän suunnitteluprosessille. Kohdeyrityksen nykytilaa ja sen osoittamia vaatimuksia analysoidaan kyselyn ja haastattelujen kautta. Perustuen empiiriseen tutkimukseen kaksi raportointinäkymää päätettiin suunnitella kattamaan tunnistetut käyttökohteet suorituskyvyn johtamiselle ketterissä ohjelmissa. Tämä opinnäytetyö edistää aikaisempaa tutkimusta ohjelmajohtamisen ja business intelligencen alalla. Erityisesti tässä työssä käsitellään ketterää ohjelmajohtamista käytännön tasolla ja ehdotetaan suorituskyvyn mittareita siinä hyödynnettäväksi. Business intelligenceä havainnollistetaan erityisesti suorituskyvyn johtamismenetelmien kautta. Työn tuloksia voidaan myös hyödyntää jatkotutkimuksessa, joten työllä on myös selkeää tieteellistä kontribuutiota ilmeisten käytännön johtopäätösten lisäksi

Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts

This Innovative Practice Full Paper presents an approach of using software development artifacts to gauge student behavior and the effectiveness of changes to curriculum design. There is an ongoing need to adapt university courses to changing requirements and shifts in industry. As an educator it is therefore vital to have access to methods, with which to ascertain the effects of curriculum design changes. In this paper, we present our approach of analyzing software repositories in order to gauge student behavior during project work. We evaluate this approach in a case study of a university undergraduate software development course teaching agile development methodologies. Surveys revealed positive attitudes towards the course and the change of employed development methodology from Scrum to Kanban. However, surveys were not usable to ascertain the degree to which students had adapted their workflows and whether they had done so in accordance with course goals. Therefore, we analyzed students' software repository data, which represents information that can be collected by educators to reveal insights into learning successes and detailed student behavior. We analyze the software repositories created during the last five courses, and evaluate differences in workflows between Kanban and Scrum usage

The Beauty of Messiness: A Flexible Tool for Design Principle Projects

Abstracting and formalizing knowledge collected throughout a design science research (DSR) project is important to inform the design of future artifacts. Design principles are one of the prevailing forms to capture design-relevant knowledge and guide both research and practice to build new artifacts. Although today’s DSR projects are often agile and creative, they require a minimum structure to ensure rigor. In this paper, we set out to master the tradeoff between creative messiness and fully standardized design endeavors by presenting a situational tool in the form of a card deck. We report on the building of a design tool and its demonstration via two illustrative examples. Overall, we complement the valuable body of DSR frameworks and introduce a flexible and configurable tool capable of taking into account specific project situations

Digital analytics: an approach for data quality control

Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceWith the emergence of the Digital Era, a new way of analyzing customers' behavior also emerged. It's not only about analyzing data from traditional data warehouses but also about measuring users' digital footprint on websites, mobile applications, and other digital data sources. Nowadays, companies collect data on their digital channels to improve website design and user experience, optimize e-commerce, track, and measure the success of actions and programs, identify problems, and improve the digital channels' performance. But the question that arises is how valid, accurate, and complete the data is. Do digital analysts understand each data point they have at their disposal? In this internship report will be given a detailed view of the critical points of digital analytics data quality, the adjacent problems and a solution will be presented to support and help the digital analysts overcome some of the challenges in this area

The Digital Transformation of Automotive Businesses: THREE ARTEFACTS TO SUPPORT DIGITAL SERVICE PROVISION AND INNOVATION

Digitalisation and increasing competitive pressure drive original equipment manufacturers (OEMs) to switch their focus towards the provision of digital services and open-up towards increased collaboration and customer integration. This shift implies a significant transformational change from product to product-service providers, where OEMs realign themselves within strategic, business and procedural dimensions. Thus, OEMs must manage digital transformation (DT) processes in order to stay competitive and remain adaptable to changing customer demands. However, OEMs aspiring to become participants or leaders in their domain, struggle to initiate activities as there is a lack of applicable instruments that can guide and support them during this process. Compared to the practical importance of DT, empirical studies are not comprehensive. This study proposes three artefacts, validated within case companies that intend to support automotive OEMs in digital service provisioning. Artefact one, a layered conceptual model for a digital automotive ecosystem, was developed by means of 26 expert interviews. It can serve as a useful instrument for decision makers to strategically plan and outline digital ecosystems. Artefact two is a conceptual reference framework for automotive service systems. The artefact was developed based on an extensive literature review, and the mapping of the business model canvas to the service system domain. The artefact intends to assist OEMs in the efficient conception of digital services under consideration of relevant stakeholders and the necessary infrastructures. Finally, artefact three proposes a methodology by which to transform software readiness assessment processes to fit into the agile software development approach with consideration of the existing operational infrastructure. Overall, the findings contribute to the empirical body of knowledge about the digital transformation of manufacturing industries. The results suggest value creation for digital automotive services occurs in networks among interdependent stakeholders in which customers play an integral role during the services’ life-cycle. The findings further indicate the artefacts as being useful instruments, however, success is dependent on the integration and collaboration of all contributing departments.:Table of Contents Bibliographic Description II Acknowledgment III Table of Contents IV List of Figures VI List of Tables VII List of Abbreviations VIII 1 Introduction 1 1.1 Motivation and Problem Statement 1 1.2 Objective and Research Questions 6 1.3 Research Methodology 7 1.4 Contributions 10 1.5 Outline 12 2 Background 13 2.1 From Interdependent Value Creation to Digital Ecosystems 13 2.1.1 Digitalisation Drives Collaboration 13 2.1.2 Pursuing an Ecosystem Strategy 13 2.1.3 Research Gaps and Strategy Formulation Obstacles 20 2.2 From Products to Product-Service Solutions 22 2.2.1 Digital Service Fulfilment Requires Co-Creational Networks 22 2.2.2 Enhancing Business Models with Digital Services 28 2.2.3 Research Gaps and Service Conception Obstacles 30 2.3 From Linear Development to Continuous Innovation 32 2.3.1 Digital Innovation Demands Digital Transformation 32 2.3.2 Assessing Digital Products 36 2.3.3 Research Gaps and Implementation Obstacles 38 3 Artefact 1: Digital Automotive Ecosystems 41 3.1 Meta Data 41 3.2 Summary 42 3.3 Designing a Layered Conceptual Model of a Digital Ecosystem 45 4 Artefact 2: Conceptual Reference Framework 79 4.1 Meta Data 79 4.2 Summary 80 4.3 On the Move Towards Customer-Centric Automotive Business Models 83 5 Artefact 3: Agile Software Readiness Assessment Procedures 121 5.1 Meta Data 121 5.2 Meta Data 122 5.3 Summary 123 5.4 Adding Agility to Software Readiness Assessment Procedures 126 5.5 Continuous Software Readiness Assessments for Agile Development 147 6 Conclusion and Future Work 158 6.1 Contributions 158 6.1.1 Strategic Dimension: Artefact 1 158 6.1.2 Business Dimension: Artefact 2 159 6.1.3 Process Dimension: Artefact 3 161 6.1.4 Synthesis of Contributions 163 6.2 Implications 167 6.2.1 Scientific Implications 167 6.2.2 Managerial Implications 168 6.2.3 Intelligent Parking Service Example (ParkSpotHelp) 171 6.3 Concluding Remarks 174 6.3.1 Threats to Validity 174 6.3.2 Outlook and Future Research Recommendations 174 Appendix VII Bibliography XX Wissenschaftlicher Werdegang XXXVII Selbständigkeitserklärung XXXVII

Agile Processes in Software Engineering and Extreme Programming

This open access book constitutes the proceedings of the 23rd International Conference on Agile Software Development, XP 2022, which was held in Copenhagen, Denmark, in June 2022. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends.  XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. This year’s conference was held with the theme “Agile in the Era of Hybrid Work”. The 13 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: agile practices; agile processes; and agile in the large