Dominik Augenstein

Karlsruhe Institute of Technology | KIT · Institute of Information Systems and Marketing

Research often draws on established research methods such as lab or field experiments to investigate urgent questions about human factors in future autonomous mobility. However, conducting experiments in such a context is either expensive and complex to implement and operate, when the researchers aim for realism, or otherwise entails limitations wi...

Through increased globalization and fast changing customer demands companies need to adapt their service management constantly. Business model approaches can provide a suitable base to comprehend the service management of a company. However, existing knowledge about the business model artefacts and the possibilities in service management is very di...

Organizations must be increasingly able to adapt to ever-changing environmental conditions. For the resulting transformations, companies need a solid knowledge of their current business models to transform them towards prospective target models. However, established business model creation frameworks are manual, error-prone, time-consuming and high...

Process standardization allows to optimize ERP systems and is a necessary step prior to ERP implementation projects. Traditional approaches to standardizing business processes are based on manually created “de-jure” process models, which are distorted, error-prone, simplistic, and often deviating from process reality. Theoretically embedded in the...

Business modelling is recognized as an important concept to make company strategies more explicit and to compare alternatives combined with their translation to the operational layer. Typically, business modelling is performed by a group of experts building on established frameworks like the Business Model Canvas. In a subsequent step, different st...

Prioritization is essential for process decision-making. Organizational decision-makers frequently do not have clear perceptions of which processes are of prime and secondary importance. Further, research does not provide a satisfactory definition of process importance and quantifiable proxies. Thus, this paper derives dimensions of process importa...

Decision-making, innovation and transformation of business models require organizations to precisely understand their current status-quo business model. However, traditional top-down approaches to business model visualization are human-centric, “de jure”, subjective, error-prone, and time-consuming. In contrast, bottom-up Business Model Mining coll...

Rapidly changing environments and customer demands force companies to transform their business models in ever shorter periods of time. However, existing approaches like the business model canvas and corresponding tools mainly focus on documentation on a strategic level and do not actively support the business model transformation process from a cur...

Increasing global competition and recent business opportunities enabled by a growing number of (digi-tal) services force organizations to adapt their business models (BM) to the new environment (Teece 2010). Current developments such as globalization, the ubiquitous pressure for cost reductions, the need to reduce time-to-market, and technological...

As promising chance, Industry 4.0 (I4.0) enables companies to defend their position in fast changing markets and to respond on individual customer demands. However , companies have challenges to implement I 4.0 strategies in their current business. We present a research-in-progress design science project with the aim of designing a business model c...