Strategic business models of platform providers in the video gaming industry - cloud gaming customer segmentation analysis

This work project examines the evolution and variation of business models within the online video gaming platform industry. In the present paper, an in-depth analysis of the recent business model of cloud gaming is provided. With large gaming audiences that differ in needs and preferences, segmentation should occur based on gamer type. The analysis reveals a large potential, especially within the non-gamer and casual gamer segments. Further, advantages and weaknesses of the business model are outlined, and overriding recommendations are presented to strategically optimize it. To conclude, key insights and limitations as well as future research are discussed

A Design Science Research Approach to Smart and Collaborative Urban Supply Networks

Urban supply networks are facing increasing demands and challenges and thus constitute a relevant field for research and practical development. Supply chain management holds enormous potential and relevance for society and everyday life as the flow of goods and information are important economic functions. Being a heterogeneous field, the literature base of supply chain management research is difficult to manage and navigate. Disruptive digital technologies and the implementation of cross-network information analysis and sharing drive the need for new organisational and technological approaches. Practical issues are manifold and include mega trends such as digital transformation, urbanisation, and environmental awareness. A promising approach to solving these problems is the realisation of smart and collaborative supply networks. The growth of artificial intelligence applications in recent years has led to a wide range of applications in a variety of domains. However, the potential of artificial intelligence utilisation in supply chain management has not yet been fully exploited. Similarly, value creation increasingly takes place in networked value creation cycles that have become continuously more collaborative, complex, and dynamic as interactions in business processes involving information technologies have become more intense. Following a design science research approach this cumulative thesis comprises the development and discussion of four artefacts for the analysis and advancement of smart and collaborative urban supply networks. This thesis aims to highlight the potential of artificial intelligence-based supply networks, to advance data-driven inter-organisational collaboration, and to improve last mile supply network sustainability. Based on thorough machine learning and systematic literature reviews, reference and system dynamics modelling, simulation, and qualitative empirical research, the artefacts provide a valuable contribution to research and practice

Spartan Daily, November 3, 1954

Volume 43, Issue 31https://scholarworks.sjsu.edu/spartandaily/12083/thumbnail.jp

a case study in the mobility sector

This paper “What drives successful open innovation ecosystems? A case study in the mobility sector” sheds light on success drivers and results of innovation ecosystems orchestrated by intermediaries. A case study of Europe’s largest mobility innovation ecosystem including nine semi-structured interviews is used for data collection. Through data analysis, the author proposes a success driver framework with three dimensions: individual corporate input, ecosystem infrastructure and individual corporate results. The framework indicates the variety in individual corporate output based on the time factor as well as respective firm input. As a steady component, the ecosystem infrastructure through the intermediary is introduced

Agile or non-agile, that is the question: designing a decision support system for an agile approach in software development projects

To know how to choose an approach to manage a software development project is essential to maximize the chances to achieve success. One of the great dilemmas we face nowadays concerns the option for an Agile or a traditional development methodology. There are several characteristics of software projects and the business environments in which they are performed that we must consider while choosing a suitable option. Although Agile development methodologies have been increasingly expanding and consolidating worldwide as effective ways of building software since the early 2000s, they are not a one-size-fits-all approach. When to use Agile and which methodology is most suitable are the great questions we aim to answer in this research. Through a comprehensive revision of the literature and an exploratory study with Agile practitioners, we explored and identified the main factors that favour the use of an Agile approach. We also unveiled the characteristics of software development projects and organisational environments that lead development teams to opt for one of the common Agile frameworks: Scrum, Extreme Programming (XP), Kanban, or Lean Software Development (LSD). Based on the results obtained, we conceived a conceptual model to support decision making and developed a prototype of an information system that implements this conceptual model. Our major goal in this study is to clarify what is important to consider in the choice of an Agile methodology and help the decision-maker selecting an appropriate development approach. The results of this research contribute to the literature related to processes of selection of software development methodologies, as well as to the diffusion of Agile within development teams and organisations with none or low degree of maturity in Agile, but interested in knowing more or adopting this development approach.Escolher uma abordagem adequada para gerenciar um projeto de desenvolvimento de software é essencial para maximizar as chances de se obter sucesso. Um dos grandes dilemas da atualidade diz respeito à opção por uma metodologia de desenvolvimento Agile ou tradicional. Existem diversas características dos projetos de software e dos ambientes organizacionais onde eles são executados que devemos considerar ao escolher uma opção apropriada. Embora as metodologias de desenvolvimento Agile venham se expandindo e consolidando mundialmente desde o início dos anos 2000 como soluções eficazes para se construir software, elas não se aplicam a todos os cenários de desenvolvimento. Quando usar Agile e qual das suas metodologias é a mais adequada são as grandes questões que pretendemos responder nesta investigação. Através de uma abrangente revisão de literatura e de um estudo exploratório com profissionais com experiência nas metodologias Agile, exploramos e identificamos os principais fatores que favorecem o uso de uma abordagem Agile. Também estudamos as características de projetos de desenvolvimento de software e de ambientes organizacionais que levam as equipas de desenvolvimento a optar por uma das suas metodologias mais comuns: Scrum, Extreme Programming (XP), Kanban ou Lean Software Development (LSD). Com base nos resultados obtidos, concebemos um modelo conceitual para apoiar a tomada de decisão e desenvolvemos um protótipo de um sistema que implementa tal modelo conceitual. Nosso principal objetivo é esclarecer o que é importante considerar na escolha de uma metodologia Agile e ajudar o tomador de decisão a selecionar uma opção adequada. Os resultados desta investigação enriquecem a literatura voltada para os métodos de seleção de processos de desenvolvimento de software, e contribuem para a difusão do Agile entre as equipas de desenvolvimento e as organizações com nenhum ou baixo grau de maturidade em Agile, mas que estejam interessadas em conhecer mais ou adotar esta abordagem de desenvolvimento

Xavier University Newswire

https://www.exhibit.xavier.edu/student_newspaper/3851/thumbnail.jp

Commonwealth Times 1982-04-13

https://scholarscompass.vcu.edu/com/1413/thumbnail.jp