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This chapter presents an introduction to the emerging trends for architecting the digital transformation having a strong focus on digital products, intelligent services, and related systems together with methods, models and architectures. The primary aim of this book is to highlight some of the most recent research results in the field. We are providing a focused set of brief descriptions of the chapters included in the book.
The digital transformation is today’s dominant business transformation having a strong influence on how digital services and products are designed in a service-dominant way. A popular underlying theory of value creation and economic exchange that is known as the service-dominant (S-D) logic can be connected to many successful digital business models. However, S-D logic by itself is abstract. Companies cannot directly use it as an instrument for business model innovation and design in an easy way. To address this a comprehensive ideation method based on S-D logic is proposed, called service-dominant design (SDD). SDD is aimed at supporting firms in the transition to a service- and value-oriented perspective. The method provides a simplified way to structure the ideation process based on four model components. Each component consists of practical implications, auxiliary questions and visualization techniques that were derived from a literature review, a use case evaluation of digital mobility and a focus group discussion. SDD represents a first step of having a toolset that can support established companies in the process of service- and value-orientation as part of their digital transformation efforts.
This research-oriented book presents key contributions on architecting the digital transformation. It includes the following main sections covering 20 chapters: · Digital Transformation · Digital Business · Digital Architecture · Decision Support · Digital Applications Focusing on digital architectures for smart digital products and services, it is a valuable resource for researchers, doctoral students, postgraduates, graduates, undergraduates, academics and practitioners interested in digital transformation.
We investigate the toxicity of different types and sizes of microplastic particles (0.3–4 mm) under different conditions (new particles, aged particles with biofilm, and particles with adsorbed Tributyltin) on the freshwater amphipod Gammarus fossarum in 3-week exposures. All types of plastic particles, which were randomly taken up to a small extent, were mostly Polyphenylenoxide, Polybutylentherephthalate and Polypropylene, with particles < 1 mm in size. Plastic particles did not affect the feeding and locomotory behaviour of gammarids, and there was no strong difference between pristine plastic particles and aged particles with biofilm. Mortality tended to be higher compared with the control. Tributyltinhydride (TBTH) adsorbed to microplastic particles had no effect on uptake, survival, feeding and locomotory behaviour during the 3 weeks of exposure. Dissolved TBTH, however, was already very toxic after few days of exposure (LC50-96h < 1 ng l–1).
The typed graph model
(2020)
In recent years, the Graph Model has become increasingly popular, especially in the application domain of social networks. The model has been semantically augmented with properties and labels attached to the graph elements. It is difficult to ensure data quality for the properties and the data structure because the model does not need a schema. In this paper, we propose a schema bound Typed Graph Model with properties and labels. These enhancements improve not only data quality but also the quality of graph analysis. The power of this model is provided by using hyper-nodes and hyper edges, which allows to present a data structure on different abstraction levels. We demonstrate by example the superiority of this model over the property graph data model of Hidders and other prevalent data models, namely the relational, object-oriented, and XML model.
Participation in fast fashion brands’ clothes recycling plans in an omnichannel retail environment
(2020)
The rise of the fast fashion industry allows more and more people to participate in fashion consumption, but goes along with negative consequences on the environment. To reduce wastage, fast fashion retailers have begun to offer used clothes recycling plans to which customers can submit clothes they no longer wear. Since these recycling plans have mainly been operated in offline stores so far, the rise of omnichannel retailing poses new challenges on retailers with regard to organizing the plan and motivating consumers to participate. On a sample of N=370 Chinese fast fashion consumers, this paper investigates, which factors determine consumers’ willingness to participate in fast fashion brands’ used clothes recycling plans in an omnichannel retailing environment. It finds that consumers’ clothes recycling intention is determined by individual predispositions (environmental attitude, impulsive consumption), as well as by organizational arrangements (channel integration quality), as well as by the outcomes of their interaction (consumer satisfaction, brand identification). Conclusions are drawn, implications for omnichannel fast fashion retailing practice, as well as for further research, derived, and limitations discussed.
Formula One races provide a wealth of data worth investigating. Although the time-varying data has a clear structure, it is pretty challenging to analyze it for further properties. Here the focus is on a visual classification for events, drivers, as well as time periods. As a first step, the Formula One data is visually encoded based on a line plot visual metaphor reflecting the dynamic lap times, and finally, a classification of the races based on the visual outcomes gained from these line plots is presented. The visualization tool is web-based and provides several interactively linked views on the data; however, it starts with a calendar-based overview representation. To illustrate the usefulness of the approach, the provided Formula One data from several years is visually explored while the races took place in different locations. The chapter discusses algorithmic, visual, and perceptual limitations that might occur during the visual classification of time-series data such as Formula One races.
Companies compete more and more as integrated supply chains rather than as individual firms. The success of the entire supply chain determines the economic well-being of the individual company. With management attention shifting to supply chains, the role of management accounting naturally must extend to the cross-company layer as well. This book demonstrates how management accounting can make a significant contribution to supply chain success.It targets students who are already familiar with the fundamentals of accounting and now want to extend their expertise in the field of cross company (or network) management accounting. Practitioners will draw valuable insights from the text as well.
Whether diversity enhances or impedes team creativity remains an issue of scholarly debate. Explanations of this ambiguity often lie in how diversity is both operationalized and measured. Eschewing the popular approach of using differences in objective criteria to signal diversity, a deep-level approach that focuses on differences in personal values is taken in this study. Value diversity is measured in the two forms of variety and separation and their associations with team creativity are explored. The investigation is augmented by considering the mediating role of team communication in these associations. The analysis was conducted on a sample of 98 teams, using both subjective and objective measures. The findings reveal that when considering value diversity in terms of variety, there is a positive association between diversity and team creativity. However, when the separation dimension of value diversity is considered, a negative association between diversity and team creativity is identified. Complex pathways pertaining to the role of communication within these relationships are also uncovered. In moving beyond rudimentary categories and measurement of diversity, this study further elucidates the complexity of the diversity–creativity relationship. Conclusions are drawn and implications for further research and managerial practice are derived.
Airports largely outgrew their sole purpose of simply being travel hubs and by connecting millions of passengers to their destinations each year on an international scale, they have become increasingly interesting for business and related marketing opportunities. In fact, passengers are easily segmented and can be reached effectively throughout specific airport areas, making some areas more suitable for advertising than others. Emotional states, roaming time and the freedom to move vastly, influence how much information passengers are able to absorb from their direct surroundings. Finally our research shows that some areas are more suitable than others. Therefore a careful selection of airport locations for communication will be key to secure the impact and improve the effectiveness of communication measures. With these insights, advertisers can deliberately choose the areas that are most effective for displaying their ads.