1,721,007 research outputs found
Unraveling the Interaction of Information Systems and Ecosystems – A Comprehensive Classification of Literature
No full textPervasive digitalization substantially influences how contemporary firms interact with their business environments. Increasing connectivity of firms, things, and people lead to more complex interrelations, rendering an ecosystem perspective relevant. Accordingly, research increasingly points to the value of the ecosystem construct for explaining the phenomena of digital transformation. Although prominent in most recent studies, the challenge of achieving a clear understanding of this construct and its interaction with information systems remains a relevant obstacle for progress in current research. Therefore, we systematically identified and analyzed high quality literature on ecosystems and information systems, resulting in a set of 42 relevant journal publications. Our findings summarize the current state of knowledge and highlight important gaps in the literature. Moreover, we derive valuable insights on the role of information systems in ecosystem genesis as well as development and, by drawing on the origins in biology, offer interesting avenues for further research
Unraveling the Interaction of Information Systems and Ecosystems – A Comprehensive Classification of Literature
No full textPervasive digitalization substantially influences how contemporary firms interact with their business environments. Increasing connectivity of firms, things, and people lead to more complex interrelations, rendering an ecosystem perspective relevant. Accordingly, research increasingly points to the value of the ecosystem construct for explaining the phenomena of digital transformation. Although prominent in most recent studies, the challenge of achieving a clear understanding of this construct and its interaction with information systems remains a relevant obstacle for progress in current research. Therefore, we systematically identified and analyzed high quality literature on ecosystems and information systems, resulting in a set of 42 relevant journal publications. Our findings summarize the current state of knowledge and highlight important gaps in the literature. Moreover, we derive valuable insights on the role of information systems in ecosystem genesis as well as development and, by drawing on the origins in biology, offer interesting avenues for further research
Distributed Cognitive Expert Systems in Cancer Data Analytics: A Decision Support System for Oral and Maxillofacial Surgery
No full textAlthough researchers have uncovered potential positive impacts of digital technologies in healthcare and medical centers have been increasingly making use of technology to digitally store their data, the use of healthcare analytics in clinical practice remains limited. In particular, the application of machine learning (ML) approaches, although holding the potential of providing valuable insights, is mainly restricted to descriptive ML, due to the approximate nature of ML, the impact of inaccuracies, and the perceived potential additional efforts in clinical workflows. Taking into account these barriers to healthcare analytics adoption, in this multidisciplinary study, we obtained and jointly analyzed cancer data on 799 cases of cranio-maxillofacial and oral-maxillofacial surgery. We developed a real-time decision support system that predicts optimal treatments and communicates its prediction confidence along with patient attributes that are significant to decision making, thereby providing potentials simultaneously for improving quality of care and for increasing process efficiency for physicians
Nachhaltige Mobilität – Herausforderungen und Potentiale für die Wirtschaftsinformatik
No full textWissenschaftliche Disziplinen müssen sich ständig fragen, was ihr Beitrag zu bedeutenden und aktuellen gesellschaftlichen Themen ist, um ihre Relevanz und Legitimität unter Beweis zu stellen. Eine der derzeit wesentlichsten Herausforderungen moderner Gesellschaften ist das Thema der ökologischen Nachhaltigkeit. Ressourcenknappheit und Umweltverschmutzung sind wesentliche Treiber dieser Diskussion. Der Bereich Verkehr bzw. Transport gilt aufgrund seines hohen Anteils an den CO2Emissionen als Handlungsfeld mit besonderen Herausforderungen, aber auch großen Potentialen im Hinblick auf umweltverträglicheres Handeln
Driving business transformation toward sustainability: exploring the impact of supporting IS on the performance contribution of eco-innovations
No full textInformation systems (IS) can foster business transformation toward sustainability on a large scale by supporting green technologies, thereby creating hybrid physical–digital solutions that are able to fulfil organizational performance requirements and contribute to sustainable business practices. These supporting IS provide an alternative path to corporate sustainability rather than just contributing to the ‘greening’ of business practices by aiming to improve the organizational performance impact of environmental advantageous innovations, which in turn fosters their adoption. Employing a multiple case study comprising eight companies that have implemented such eco‐innovations (specifically electric vehicles) in their business processes, our findings indicate that the organizational performance contribution of eco‐innovations is improved when complemented by supporting IS. This effect is achieved by (1) enhancing the efficiency of the business processes in which the eco‐innovations are deployed, thus increasing eco‐efficiency, and (2) enabling new functionalities, processes and business models that help achieve organizational sustainability goals, thereby driving eco‐effectiveness. With these two aspects, we add two functional affordances – technological flexibility and digital eco‐innovation – to the existing knowledge base of Green IS and point to an elaborated role of IS in sustainability transformation
Distributed Cognitive Expert Systems in Cancer Data Analytics: A Decision Support System for Oral and Maxillofacial Surgery
No full textAlthough researchers have uncovered potential positive impacts of digital technologies in healthcare and medical centers have been increasingly making use of technology to digitally store their data, the use of healthcare analytics in clinical practice remains limited. In particular, the application of machine learning (ML) approaches, although holding the potential of providing valuable insights, is mainly restricted to descriptive ML, due to the approximate nature of ML, the impact of inaccuracies, and the perceived potential additional efforts in clinical workflows. Taking into account these barriers to healthcare analytics adoption, in this multidisciplinary study, we obtained and jointly analyzed cancer data on 799 cases of cranio-maxillofacial and oral-maxillofacial surgery. We developed a real-time decision support system that predicts optimal treatments and communicates its prediction confidence along with patient attributes that are significant to decision making, thereby providing potentials simultaneously for improving quality of care and for increasing process efficiency for physicians
DIGITAL MATURITY IN TRADITIONAL INDUSTRIES – AN EXPLORATORY ANALYSIS
No full textThe diffusion of new digital technologies renders digital transformation relevant for nearly every industry. Therefore, the maturity of firms in mastering this fundamental organizational change is increasingly discussed in practice-oriented literature. These studies, however, suffer from some short-comings. Most importantly, digital maturity is typically described along a linear scale, thus assuming that all firms do and need to proceed through the same path. We challenge this assumption and derive a more differentiated classification scheme based on a comprehensive literature review as well as an exploratory analysis of a survey on digital transformation amongst 327 managers. Based on these findings we propose two scales for describing a firm’s digital maturity: first, the impact that digital transformation has on a specific firm; second, the readiness of the firm to master the upcoming changes. We demonstrate the usefulness of this two scale measure by empirically deriving five digital maturity clusters as well as further empirical evidence. Our framework illuminates the monolithic block of digital maturity by allowing for a more differentiated firm-specific assessment – thus, it may serve as a first foundation for future research on digital maturity
The Business Model Pattern Database - A Tool For Systematic Business Model Innovation
No full textCompanies are more frequently seen shifting their focus from technological innovation towards business model innovation. One efficient option for business model innovation is to learn from existing solutions, i.e., business model patterns. However, the various understandings of the business model pattern concept are often confusing and contradictory, with the available collections incomplete, overlapping, and inconsistently structured. Therefore, the rich body of literature on business model patterns has not yet reached its full potential for both practical application as well as theoretic advancement. To help remedy this, we conduct an exhaustive review, filter for duplicates, and structure the patterns along several dimensions by applying a rigorous taxonomy-building approach. The resulting business model pattern database allows for navigation to the relevant set of patterns for a specific impact on a company's business model. It can be used for systematic business model innovation, which we illustrate via a simplified case study
Towards Sustainable Mobility - Digital Eco-Systems as Drivers of Disruptive Change
No full textThe quest for sustainability is one of the most demanding challenges societies face today. As the mobility sector is among the main contributors to environmental degradation, regulative institutions promote sustainable technologies and modes of transportation, though they often ignore socio-technical circumstances. In this conceptual paper, we draw on the established socio-technical transitions theory to develop a multi-level framework explaining the role of emerging digital eco-systems - comprising digital technologies, relevant actors, and the relationships between them - in the transition of mobility towards sustainability. Drawing on an analysis of mobile applications for sustainable mobility, we illustrate our theoretical propositions on how digital eco-systems transform and disrupt established patterns for the benefit of smart sustainable solutions. For instance, the ubiquity of broadband Internet in conjunction with the diffusion of mobile devices and social media enables communication among distant actors, thus reducing uncertainty and enhancing resilience of sustainable mobility alternatives, such as peer-to-peer carsharing
Towards Sustainable Mobility - Digital Eco-Systems as Drivers of Disruptive Change
No full textThe quest for sustainability is one of the most demanding challenges societies face today. As the mobility sector is among the main contributors to environmental degradation, regulative institutions promote sustainable technologies and modes of transportation, though they often ignore socio-technical circumstances. In this conceptual paper, we draw on the established socio-technical transitions theory to develop a multi-level framework explaining the role of emerging digital eco-systems - comprising digital technologies, relevant actors, and the relationships between them - in the transition of mobility towards sustainability. Drawing on an analysis of mobile applications for sustainable mobility, we illustrate our theoretical propositions on how digital eco-systems transform and disrupt established patterns for the benefit of smart sustainable solutions. For instance, the ubiquity of broadband Internet in conjunction with the diffusion of mobile devices and social media enables communication among distant actors, thus reducing uncertainty and enhancing resilience of sustainable mobility alternatives, such as peer-to-peer carsharing
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